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O’Reilly-Shah, Vikas N. "Factors influencing healthcare provider respondent fatigue answering a globally administered in-app survey." PeerJ 5 (September 12, 2017): e3785. http://dx.doi.org/10.7717/peerj.3785.
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BackgroundRespondent fatigue, also known as survey fatigue, is a common problem in the collection of survey data. Factors that are known to influence respondent fatigue include survey length, survey topic, question complexity, and open-ended question type. There is a great deal of interest in understanding the drivers of physician survey responsiveness due to the value of information received from these practitioners. With the recent explosion of mobile smartphone technology, it has been possible to obtain survey data from users of mobile applications (apps) on a question-by-question basis. The author obtained basic demographic survey data as well as survey data related to an anesthesiology-specific drug called sugammadex and leveraged nonresponse rates to examine factors that influenced respondent fatigue.MethodsPrimary data were collected between December 2015 and February 2017. Surveys and in-app analytics were collected from global users of a mobile anesthesia calculator app. Key independent variables were user country, healthcare provider role, rating of importance of the app to personal practice, length of time in practice, and frequency of app use. Key dependent variable was the metric of respondent fatigue.ResultsProvider role and World Bank country income level were predictive of the rate of respondent fatigue for this in-app survey. Importance of the app to the provider and length of time in practice were moderately associated with fatigue. Frequency of app use was not associated. This study focused on a survey with a topic closely related to the subject area of the app. Respondent fatigue rates will likely change dramatically if the topic does not align closely.DiscussionAlthough apps may serve as powerful platforms for data collection, responses rates to in-app surveys may differ on the basis of important respondent characteristics. Studies should be carefully designed to mitigate fatigue as well as powered with the understanding of the respondent characteristics that may have higher rates of respondent fatigue.
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Mohad, Ashish, Sayan Shendre, Mahesh Likhar, Divya Pathrabe, and Vidhi Bhurle. "Survey on Interactive E-Learning Platform." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (February 28, 2023): 919–22. http://dx.doi.org/10.22214/ijraset.2023.49143.
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Abstract: This Social Networking Site for College students. Networking is the way through which different people can be connected with each other through some means of communication. The social networking is one of the common media of communication between the people in today's world. . It gives the educators, students and parents a platform such as web app, Android app, iOS app to carry out their day to day activities, communicate and collaborate. It is an unique cloud based system that can be used by teachers, students and parents to perform all of their academic activities online through web or app. he students will be able to create their own profile, browse locations worldwide. share and collect knowledge, education related details etc. This application can also be used by the students to share the knowledge's, education related books, question or answer and any other information. This educational platform is for students and educators who are willing to learn new technologies. It is a unique cloud-based system that can be used by teachers, students, and parents to perform all of their academic activities online through the web or app. The students will be able to create their own profiles, browse locations worldwide share and collect knowledge, education- related details. The user interface must be simple and easy to understand even by the common man. The social networking site for college students is only meant for students all over the world to register themselves and can share information, knowledge, videos sharing, articles, etc.
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Hogan, Timothy P., Bella Etingen, Nicholas McMahon, Felicia R. Bixler, Linda Am, Rachel E. Wacks, Stephanie L. Shimada, Erin D. Reilly, Kathleen L. Frisbee, and Bridget M. Smith. "Understanding Adoption and Preliminary Effectiveness of a Mobile App for Chronic Pain Management Among US Military Veterans: Pre-Post Mixed Methods Evaluation." JMIR Formative Research 6, no. 1 (January 20, 2022): e33716. http://dx.doi.org/10.2196/33716.
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Background The Veterans Health Administration Pain Coach mobile health app was developed to support veterans with chronic pain. Objective Our objective was to evaluate early user experiences with the Pain Coach app and preliminary impacts of app use on pain-related outcomes. Methods Following a sequential, explanatory, mixed methods design, we mailed surveys to veterans at 2 time points with an outreach program in between and conducted semistructured interviews with a subsample of survey respondents. We analyzed survey data using descriptive statistics among veterans who completed both surveys and examined differences in key outcomes using paired samples t tests. We analyzed semistructured interview data using thematic analysis. Results Of 1507 veterans invited and eligible to complete the baseline survey, we received responses from 393 (26.1%). These veterans received our outreach program; 236 (236/393, 60.1%) completed follow-up surveys. We conducted interviews with 10 app users and 10 nonusers. Among survey respondents, 10.2% (24/236) used Pain Coach, and 58% (14/24) reported it was easy to use, though interviews identified various app usability issues. Veterans who used Pain Coach reported greater pain self-efficacy (mean 23.1 vs mean 16.6; P=.01) and lower pain interference (mean 34.6 vs mean 31.8; P=.03) after (vs before) use. The most frequent reason veterans reported for not using the app was that their health care team had not discussed it with them (96/212, 45.3%). Conclusions Our findings suggest that future efforts to increase adoption of Pain Coach and other mobile apps among veterans should include health care team endorsement. Our findings regarding the impact of Pain Coach use on outcomes warrant further study.
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Xu, Rebecca, Emily Gilbert, Millicent Kuczynska-Burggraf, Bryan Tan, Helena Teede, Amanda Vincent, Melanie Gibson-Helm, and Jacqueline Boyle. "Ask PCOS: Identifying Need to Inform Evidence-Based App Development for Polycystic Ovary Syndrome." Seminars in Reproductive Medicine 36, no. 01 (January 2018): 059–65. http://dx.doi.org/10.1055/s-0038-1667187.
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Background People are increasingly seeking health information and managing their health through electronic technologies. We aimed to determine if women with polycystic ovary syndrome (PCOS) identified a need for PCOS-related mobile health apps and to evaluate related apps currently available. Design A national survey of women and a review of apps available on the iOS and Android platforms. Setting Community recruitment in Australia in 2016 and review of mobile apps available in 2017. Sample The survey received 264 responses. Sixteen apps related to PCOS were evaluated. Main Outcome Measures Survey: Women's likeliness to use mobile health apps, specifically a PCOS-related app and preferred features of apps. App review: Mapping of available apps and evaluation using the Mobile Application Rating Scale (MARS). Results Of 264 respondents, almost all women had a smartphone (98%), 72% had previously used an app to manage their health, and most (91%) would use a PCOS-specific app if available. The most important feature was the availability of current, evidence-based information. Current apps on PCOS lack provision of quality information. Conclusion Women with PCOS would use a PCOS-specific app of good quality that responds to their needs and facilitates self-care; however, currently available apps are unlikely to meet their information needs.
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Park, Jihwan, Jinhyun Han, Yerin Kim, and Mi Jung Rho. "Development, Acceptance, and Concerns Surrounding App-Based Services to Overcome the COVID-19 Outbreak in South Korea: Web-Based Survey Study." JMIR Medical Informatics 9, no. 7 (July 30, 2021): e29315. http://dx.doi.org/10.2196/29315.
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Background Since the COVID-19 outbreak, South Korea has been engaged in various efforts to overcome the pandemic. One of them is to provide app-based COVID-19–related services to the public. As the pandemic continues, a need for various apps has emerged, including COVID-19 apps that can support activities aimed at overcoming the COVID-19 pandemic. Objective We aimed to determine which apps were considered the most necessary according to users and evaluate the current status of the development of COVID-19–related apps in South Korea. We also aimed to determine users’ acceptance and concerns related to using apps to support activities to combat COVID-19. Methods We collected data from 1148 users from a web-based survey conducted between November 11 and December 6, 2020. Basic statistical analysis, multiple response analysis, and the Wilcoxon rank sum test were performed using R software. We then manually classified the current status of the development of COVID-19–related apps. Results In total, 68.4% (785/1148) of the respondents showed high willingness to protect themselves from COVID-19 by using related apps. Users considered the epidemiological investigation app to be the most necessary app (709/1148, 61.8%) overall, followed by the self-management app for self-isolation (613/1148, 53.4%), self-route management app (605/1148, 52.7%), COVID-19 symptom management app (483/1148, 42.1%), COVID-19–related information provision app (339/1148, 29.5%), and mental health management app (270/1148, 23.5%). Despite the high intention to use these apps, users were also concerned about privacy issues and media exposure. Those who had an underlying disease and had experience using COVID-19–related apps showed significantly higher intentions to use those apps (P=.05 and P=.01, respectively). Conclusions Targeting users is very important in order to design and develop the most necessary apps. Furthermore, to gain the public’s trust and make the apps available to as many people as possible, it is vital to develop diverse apps in which privacy protection is maximized.
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Szalay, Zsuzsa, and Antonín Lupisek. "Attitude towards LCA in Hungary and Czechia – Results of a survey among building design professionals." Acta Polytechnica CTU Proceedings 38 (December 21, 2022): 72–76. http://dx.doi.org/10.14311/app.2022.38.0072.
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Architects and designers have a critical role in promoting Life Cycle Assessment (LCA), a scientific methodology for evaluating the environmental impacts of buildings that can help decarbonise the built environment and minimise other negative effects.This paper presents the results of an international survey conducted among design professionals as part of the IEA Annex 72 project about assessing life cycle related environmental impacts caused by buildings. Twenty-three countries were participating in the survey altogether, but in this paper, only the specific situation in two Central European countries, Hungary and Czechia, are presented. The questionnaire explored the designers’ understanding of environmental problems and LCA methodology, the drivers and barriers of environmental assessment and the future perspectives.The results show that many architects and designers are concerned about environmental problems and the built environment’s contribution but have a limited understanding of the applicable scientific methods. A full LCA is seldomly applied as neither regulations nor clients demand it, and only the operational energy is mandatorily assessed. Further improvements in data quality and assessment tools and regulatory and other drivers are needed to increase the use of LCA in the construction sector.
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Kaspar, Kai. "Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study." Journal of Medical Internet Research 22, no. 8 (August 27, 2020): e21613. http://dx.doi.org/10.2196/21613.
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Background The current COVID-19 pandemic is showing negative effects on human health as well as on social and economic life. It is a critical and challenging task to revive public life while minimizing the risk of infection. Reducing interactions between people by social distancing is an effective and prevalent measure to reduce the risk of infection and spread of the virus within a community. Current developments in several countries show that this measure can be technologically accompanied by mobile apps; meanwhile, privacy concerns are being intensively discussed. Objective The aim of this study was to examine central cognitive variables that may constitute people’s motivations for social distancing, using an app, and providing health-related data requested by two apps that differ in their direct utility for the individual user. The results may increase our understanding of people’s concerns and convictions, which can then be specifically addressed by public-oriented communication strategies and appropriate political decisions. Methods This study refers to the protection motivation theory, which is adaptable to both health-related and technology-related motivations. The concept of social trust was added. The quantitative survey included answers from 406 German-speaking participants who provided assessments of data security issues, trust components, and the processes of threat and coping appraisal related to the prevention of SARS-CoV-2 infection by social distancing. With respect to apps, one central focus was on the difference between a contact tracing app and a data donation app. Results Multiple regression analyses showed that the present model could explain 55% of the interindividual variance in the participants’ motivation for social distancing, 46% for using a contact tracing app, 42% for providing their own infection status to a contact tracing app, and 34% for using a data donation app. Several cognitive components of threat and coping appraisal were related to motivation measurements. Trust in other people’s social distancing behavior and general trust in official app providers also played important roles; however, the participants’ age and gender did not. Motivations for using and accepting a contact tracing app were higher than those for using and accepting a data donation app. Conclusions This study revealed some important cognitive factors that constitute people’s motivation for social distancing and using apps to combat the COVID-19 pandemic. Concrete implications for future research, public-oriented communication strategies, and appropriate political decisions were identified and are discussed.
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Yang, Yanxiang, and Joerg Koenigstorfer. "Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study." Journal of Medical Internet Research 23, no. 7 (July 13, 2021): e26063. http://dx.doi.org/10.2196/26063.
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Background Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors and app features encourage users to download apps with the intention of being physically active. Objective Building on the second version of the Unified Theory of Acceptance and Use of Technology, this study aims to examine the association of the seven determinants of the second version of the Unified Theory of Acceptance and Use of Technology with the app usage intentions of the individuals and their behavioral intentions of being physically active as well as the moderating effects of different smartphone fitness app features (ie, education, motivation, and gamification related) and individual differences (ie, age, gender, and experience) on these intentions. Methods Data from 839 US residents who reported having used at least one smartphone fitness app were collected via a web-based survey. A confirmatory factor analysis was performed, and path modeling was used to test the hypotheses and explore the influence of moderators on structural relationships. Results The determinants explain 76% of the variance in the behavioral intention to use fitness apps. Habit (β=.42; P<.001), performance expectancy (β=.36; P<.001), facilitating conditions (β=.15; P<.001), price value (β=.13; P<.001), and effort expectancy (β=.09; P=.04) were positively related to behavioral intention to use fitness apps, whereas social influence and hedonic motivation were nonsignificant predictors. Behavioral intentions to use fitness apps were positively related to intentions of being physically active (β=.12; P<.001; R2=0.02). Education-related app features moderated the association between performance expectancy and habit and app usage intentions; motivation-related features moderated the association of performance expectancy, facilitating conditions, and habit with usage intentions; and gamification-related features moderated the association between hedonic motivation and usage intentions. Age moderated the association between effort expectancy and usage intentions, and gender moderated the association between performance expectancy and habit and usage intentions. User experience was a nonsignificant moderator. Follow-up tests were used to describe the nature of significant interaction effects. Conclusions This study identifies the drivers of the use of fitness apps. Smartphone app features should be designed to increase the likelihood of app usage, and hence physical activity, by supporting users in achieving their goals and facilitating habit formation. Target group–specific preferences for education-, motivation-, and gamification-related app features, as well as age and gender differences, should be considered. Performance expectancy had a high predictive power for intended usage for male (vs female) users who appreciated motivation-related features. Thus, apps targeting these user groups should focus on goal achievement–related features (eg, goal setting and monitoring). Future research could examine the mechanisms of these moderation effects and their long-term influence on physical activity.
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Pathiravasan, Chathurangi H., Yuankai Zhang, Ludovic Trinquart, Emelia J. Benjamin, Belinda Borrelli, David D. McManus, Vik Kheterpal, et al. "Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study." Journal of Medical Internet Research 23, no. 1 (January 20, 2021): e24773. http://dx.doi.org/10.2196/24773.
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Background eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data collection. Objective The aim of this study was to evaluate adherence of the eFHS app-based surveys deployed at baseline (time of enrollment in the eCohort) and every 3 months up to 1 year, and to compare baseline digital surveys with surveys collected at the research center. Methods We defined adherence rates as the proportion of participants who completed at least one survey at a given 3-month period and computed adherence rates for each 3-month period. To evaluate agreement, we compared several baseline measures obtained in the eFHS app survey to those obtained at the in-person research center exam using the concordance correlation coefficient (CCC). Results Among the 1948 eFHS participants (mean age 53, SD 9 years; 57% women), we found high adherence to baseline surveys (89%) and a decrease in adherence over time (58% at 3 months, 52% at 6 months, 41% at 9 months, and 40% at 12 months). eFHS participants who returned surveys were more likely to be women (adjusted odds ratio [aOR] 1.58, 95% CI 1.18-2.11) and less likely to be smokers (aOR 0.53, 95% CI 0.32-0.90). Compared to in-person exam data, we observed moderate agreement for baseline app-based surveys of the Physical Activity Index (mean difference 2.27, CCC=0.56), and high agreement for average drinks per week (mean difference 0.54, CCC=0.82) and depressive symptoms scores (mean difference 0.03, CCC=0.77). Conclusions We observed that eFHS participants had a high survey return at baseline and each 3-month survey period over the 12 months of follow up. We observed moderate to high agreement between digital and research center measures for several types of surveys, including physical activity, depressive symptoms, and alcohol use. Thus, this digital data collection mechanism is a promising tool to collect data related to cardiovascular disease and its risk factors.
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Stühmann, Lena M., Rebecca Paprott, Christin Heidemann, Jens Baumert, Sylvia Hansen, Daniela Zahn, Christa Scheidt-Nave, and Paul Gellert. "Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey." JMIR Diabetes 5, no. 2 (May 20, 2020): e14396. http://dx.doi.org/10.2196/14396.
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Background Evidence suggests that mobile health app use is beneficial for the prevention and management of type 2 diabetes (T2D) and its associated complications; however, population-based research on specific determinants of health app use in people with and without T2D is scarce. Objective This cross-sectional study aimed to provide population-based evidence on rates and determinants of health app use among adults with and without T2D, thereby covering a prevention perspective and a diabetes management perspective, respectively. Methods The study population included 2327 adults without a known diabetes diagnosis and 1149 adults with known T2D from a nationwide telephone survey in Germany conducted in 2017. Rates of smartphone ownership and health app use were estimated based on weighted sample proportions. Among smartphone owners, determinants of health app use were identified for both groups separately in multivariable logistic regression models. Sociodemographic factors, diabetes-related factors or indicators, psychological and health-related factors, and physician-provided information were selected as potential determinants. Results Among participants without known diabetes, 74.72% (1690/2327) were smartphone owners. Of those, 49.27% (717/1690) used health apps, most often to improve regular physical activity. Among participants with T2D, 42.26% (481/1149) were smartphone owners. Of those, 41.1% (171/481) used health apps, most commonly to target a healthy diet. Among people without known diabetes, determinants significantly (all P values <.05) associated with an increased likelihood of health app use compared with their reference group were as follows: younger and middle age of 18 to 44 or 45 to 64 years (odds ratios [ORs] 3.89; P<.001 and 1.76; P=.004, respectively), overweight or obesity (ORs 1.58; P<.001 and 2.07; P<.001, respectively), hypertension diagnosis (OR 1.31; P=.045), former or current smoking (ORs 1.51; P=.002 and 1.58; P<.001, respectively), perceiving health as very good (OR 2.21; P<.001), other chronic diseases (OR 1.48; P=.002), and having received health advice from a physician (OR 1.48; P<.001). A slight or high perceived diabetes risk (ORs 0.78; P=.04 and 0.23; P<.001, respectively) was significantly associated with a decreased likelihood of health app use. Among people with T2D, younger and middle age (18-64 years; OR 1.84; P=.007), female gender (OR 1.61; P=.02), and using a glucose sensor in addition or instead of a glucose meter (OR 2.74; P=.04) were significantly positively associated with health app use. Conclusions In terms of T2D prevention, age, diabetes-related risk factors, psychological and health-related factors, and medical health advice may inform app development for specific target groups. In addition, health professionals may encourage health app use when giving advice on health behaviors. Concerning T2D management, only a few determinants seem relevant for explaining health app use among people with T2D, indicating a need for more future research on which people with T2D use health apps and why.
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Yang, Yanxiang, and Joerg Koenigstorfer. "Determinants of physical activity maintenance during the Covid-19 pandemic: a focus on fitness apps." Translational Behavioral Medicine 10, no. 4 (August 2020): 835–42. http://dx.doi.org/10.1093/tbm/ibaa086.
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Abstract There are various health benefits of regular physical activity (PA) and health risks of sedentariness. The Covid-19 pandemic may have decreased PA and increased sedentariness for several reasons (e.g., closure of gyms, family-related time constraints, and reduced outdoor mobility). Yet, to date, there are no longitudinal studies that examined whether the pandemic affects PA levels and what factors help people remain physically active during lockdown. This study aims to investigate changes in U.S. residents’ PA during (vs. before) the Covid-19 pandemic and predictors of changes, with a focus on PA smartphone applications (apps) and their features (i.e., motivational, educational, or gamification related). The study utilized a two-wave longitudinal survey design with an online panel. Healthy adults (N = 431) from 45 U.S. states self-reported their PA levels before and during lockdown. PA app use and app feature ratings were assessed. t-tests and regression analyses were conducted. Moderate PA, vigorous PA, and PA measured in metabolic equivalent of task (MET) minutes per week decreased during lockdown (all p < .01). Controlling for PA before lockdown and individuals’ PA intentions, PA app use was positively related to overall change in PA, measured in MET minutes per week (β = 15.68, standard error = 7.84, p < .05). PA decreased less with increasing app use frequency. When app features were added to the model, a buffering effect for gamification features was identified. The Covid-19-caused lockdown decreased U.S. residents’ PA levels by 18.2%. The use of PA apps may help buffer the decline, and gamification-related app features may be particularly helpful in this context.
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Schmieder, Johannes F., and Till von Wachter. "Does Wage Persistence Matter for Employment Fluctuations? Evidence from Displaced Workers." American Economic Journal: Applied Economics 2, no. 3 (July 1, 2010): 1–21. http://dx.doi.org/10.1257/app.2.3.1.
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Previous literature has found that tight labor market conditions during a job raise wages. Using the Displaced Worker Survey from 1984 to 2006, we show that wage gains associated with good labor market conditions disappear at job loss. We also find that workers with higher wages due to tight past labor market conditions face higher risk of layoff. These findings suggest an important role of persistent rigidities in the wage setting process that are related to layoff decisions. This supports the notion that downward rigid employment contracts help explain the Shimer (2005) “puzzle” of low wage relative to employment fluctuations. (JEL J31, J41, J63)
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Bracken, Madison L., and Bradly M. Waite. "Self-Efficacy and Nutrition-Related Goal Achievement of MyFitnessPal Users." Health Education & Behavior 47, no. 5 (June 25, 2020): 677–81. http://dx.doi.org/10.1177/1090198120936261.
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Mobile health applications (apps) are increasing in popularity to assist in health behavior change and maintenance. Drawing from constructs outlined within the social cognitive theory by Bandura, we explored how frequently users of a popular health app achieved their health-related goals. Participants reportedly used the MyFitnessPal (MFP) app within the past year completed an online survey on how often they used MFP, their self-efficacy for healthy eating (SE-HE), and achievement of nutrition-related goals. Findings suggest that higher levels of SE-HE and greater use of MFP predicted greater goal achievement. One important finding was that greater use of MFP related to increased reports for goal achievement when SE-HE was lower but not when participants showed high level of SE-HE. The results from this study suggest that MFP may be the most helpful for those who find it more difficult to meet their nutrition-related goals.
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Choi, Yong-Keum, Ji-Hye Yun, Hyang-Ah Park, and Eun-Kyung Cha. "A Study on the Status of Contents Related to Oral Functional Rehabilitation Exercise Based on Application." Korean Society of Oral Health Science 10, no. 4 (December 31, 2022): 55–61. http://dx.doi.org/10.33615/jkohs.2022.10.4.55.
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Objectives: Based on the application status survey related to oral functional rehabilitation exercise, the need for content development in the field of dentistry is presented and basic data for development are prepared. Methods: The application was searched for keywords related to oral functional rehabilitation exercise in the Play Store and App Store, and it was classified and investigated by category, operating system, delivery method, language, cost, search term, target user, age, and exercise content. Results: As a result of searching for ‘Oral health’, ‘Tongue therapy’, ‘Oral motor’, ‘Swallowing’, ‘Dysfagi’, and ‘Oral motor exercises’ in Play Store and App Store, 10 suitable apps were found. Conclusions: The number of apps related to oral functional rehabilitation exercise is small, and there are many apps developed in other fields. Therefore, it is necessary to develop an app based on expertise in the dental medical field.
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Faghih Imani, Ahmadreza, Chris Harding, Siva Srikukenthiran, Eric J. Miller, and Khandker Nurul Habib. "Lessons from a Large-Scale Experiment on the Use of Smartphone Apps to Collect Travel Diary Data: The “City Logger” for the Greater Golden Horseshoe Area." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 7 (June 9, 2020): 299–311. http://dx.doi.org/10.1177/0361198120921860.
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Smartphones offer a potential alternative to collect high-quality information on the travel patterns of individuals without burdening the respondents with reporting every detail of their travel. Smartphone apps have recently become a common tool for travel survey data collection around the world, especially for multiday surveys. However, there still exists a lack of systematic assessment of issues related to smartphone app-based surveys, such as the impact of app design or the recruitment method on the collected data. Through a large-scale experiment (named the City Logger), this paper assesses the data produced by the City Logger app, to better understand recruitment avenues (targeted invitation versus crowdsourcing), and examine differences in respondents’ travel behavior recruited through crowdsourcing methods. The paper also examines how app design, and particularly the user input method for trip validation, influences participants’ responses. The results indicate that, while crowdsourcing recruitment is promising, it might not yet be the best way to capture a true representation of the population. For app design, a combination of real-time and travel diary approaches is recommended. An ideal app would prompt users real-time and create a travel diary, so users can validate, edit, or delete the recorded information.
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Karway, George, Maria Adela Grando, Kevin Grimm, Danielle Groat, Curtiss Cook, and Bithika Thompson. "Self-Management Behaviors of Patients with Type 1 Diabetes: Comparing Two Sources of Patient-Generated Data." Applied Clinical Informatics 11, no. 01 (January 2020): 070–78. http://dx.doi.org/10.1055/s-0039-1701002.
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Abstract Objectives This article aims to evaluate adult type 1 diabetes mellitus (T1DM) self-management behaviors (SMBs) related to exercise and alcohol on a survey versus a smartphone app to compare self-reported and self-tracked SMBs, and examine inter- and intrapatient variability. Methods Adults with T1DM on insulin pump therapy were surveyed about their alcohol, meal, and exercise SMBs. For 4 weeks, participants self-tracked their alcohol, meal, and exercise events, and their SMBs corresponding with these events via an investigator-developed app. Descriptive statistics and generalized linear mixed-effect models were used to analyze the data Results Thirty-five participants self-tracked over 5,000 interactions using the app. Variability in how participants perceived the effects of exercise and alcohol on their blood glucose was observed. The congruity between SMBs self-reported on the survey and those self-tracked with the app was measured as mean (SD). The lowest congruity was for alcohol and exercise with 61.9% (22.7) and 66.4% (20.2), respectively. Congruity was higher for meals with 80.9% (21.0). There was significant daily intra- and interpatient variability in SMBs related to preprandial bolusing: recommended bolus, p < 0.05; own bolus choice, p < 0.01; and recommended basal adjustment, p < 0.01. Conclusion This study highlights the variability in intra- and interpatient SMBs obtained through the use of a survey and app. The outcomes of this study indicate that clinicians could use both one-time and every-day assessment tools to assess SMBs related to meals. For alcohol and exercise, further research is needed to understand the best assessment method for SMBs. Given this degree of patient variability, there is a need for an educational intervention that goes beyond the traditional “one-size-fits-all” approach of diabetes management to target individualized treatment barriers.
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Fewings, Abbie, Corneel Vandelanotte, Christopher Irwin, Corine Ting, Edwina Williams, and Saman Khalesi. "The use and acceptability of diet-related apps and websites in Australia: Cross-sectional study." DIGITAL HEALTH 8 (January 2022): 205520762211390. http://dx.doi.org/10.1177/20552076221139091.
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Objective Diet-related apps and websites are developed to help improve dietary intake. The aim of this study is to explore the use and acceptability of diet-related apps and websites in Australia. Methods In a cross-sectional study, 241 participants (mean age = 40.6 years) completed an online survey about demographic characteristics, lifestyle behaviours and health concerns, experience and confidence in technology use, and preferences, attitudes and perception of diet app and website use. Descriptive analysis and unadjusted multiple logistic regression were used to explore data. Results Overall, 63.5% of participants were current or previous app users. App users were more confident in using technology, more concerned about diet and weight, and more trusting of information provided in diet-related apps compared to non-app users (p ≤ .05). Features such as food tracking, nutrient check and barcode scanning were preferred by both users and non-users. The likelihood of using diet-related apps was higher for those who trust the app information (OR 5.51, 95%CI: 2.40–12.66), often count calories (OR 2.28, 95%CI: 1.01–5.24) and are often on diet (OR 4.16, 95% CI: 1.21–14.21) compared to their counterparts. Conclusions More than half of the Australians that participated in this study used diet-related apps and websites. App features that allow the user to accurately record and monitor food intake and scan barcodes may motivate app use. Future public health strategies may take advantage of diet-related apps and websites to improve dietary behaviour at the population level and reduce the burden of obesity and non-communicable diseases.
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Ponzo, Sonia, Aidan Wickham, Ryan Bamford, Tara Radovic, Liudmila Zhaunova, Kimberly Peven, Anna Klepchukova, and Jennifer L. Payne. "Menstrual cycle-associated symptoms and workplace productivity in US employees: A cross-sectional survey of users of the Flo mobile phone app." DIGITAL HEALTH 8 (January 2022): 205520762211458. http://dx.doi.org/10.1177/20552076221145852.
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Objective Mood and physical symptoms related to the menstrual cycle affect women's productivity at work, often leading to absenteeism. However, employer-led initiatives to tackle these issues are lacking. Digital health interventions focused on women's health (such as the Flo app) could help fill this gap. Methods 1867 users of the Flo app participated in a survey exploring the impact of their menstrual cycle on their workplace productivity and the role of Flo in mitigating some of the identified issues. Results The majority reported a moderate to severe impact of their cycle on workplace productivity, with 45.2% reporting absenteeism (5.8 days on average in the previous 12 months). 48.4% reported not receiving any support from their manager and 94.6% said they were not provided with any specific benefit for issues related to their menstrual cycle, with 75.6% declaring wanting them. Users stated that the Flo app helped them with the management of menstrual cycle symptoms (68.7%), preparedness and bodily awareness (88.7%), openness with others (52.5%), and feeling supported (77.6%). Users who reported the most positive impact of the Flo app were 18–25% less likely to report an impact of their menstrual cycle on their productivity and 12–18% less likely to take days off work for issues related to their cycle. Conclusions Apps such as Flo could equip individuals with tools to better cope with issues related to their menstrual cycle and facilitate discussions around menstrual health in the workplace.
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Shreenivas, Aditya V., Jared Robbins, Yi Hu, Santhosh Yegnaraman, Sergey Tarima, Alexander V. Ng, Nicole Moore, Lauren Opielinski, and Stuart J. Wong. "Smartphone pain app for assessment of radiation-induced oral mucositis pain." Journal of Clinical Oncology 40, no. 28_suppl (October 1, 2022): 420. http://dx.doi.org/10.1200/jco.2022.40.28_suppl.420.
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420 Background: Oral Mucositis related pain is one of the most common radiation therapy (RT) related toxicities associated with the treatment of head and neck cancer (HNC). Questionnaire-based assessment of mucositis pain is based on a patient's recall which can be inaccurate sometimes. Therefore, real-time monitoring of patient-reported pain is required for better evaluation of mucositis pain. Methods: We performed a single-arm, observational study (NCT02727062) to investigate the feasibility of a smartphone-based pain app (OMP) in assessing mucositis pain in locally advanced HNC patients(pts) undergoing a course of definitive or adjuvant RT (> 50 Gy), +/- chemotherapy, for oral cavity or oropharynx cancer. The app prompted pts to input pain severity scores using a visual analog (0-10) scale (VAS) at multiple time points during a day throughout the study. OMP software-generated time-weighted average weekly summary measure of pain by integrating multiple serial daily pain assessments. In addition, pts completed weekly Brief pain inventory (BPI) and MD Anderson head & neck symptom inventory (MDASI-HN) questionnaires. Feasibility surveys were also collected to assess the ease of use of OMP and the burden of study participation. Responses to questions on this survey were scored on a scale of 0-3, with 0 standing for not at all and 3 for extremely. Linear mixed models (LMM) controlling for person random effects were used to evaluate association and quantify differences between average weekly pain (AWP) calculated by OMP and AWP recorded using VAS by BPI survey (question 5). LMM was also used to evaluate the association between AWP score from OMP and BPI pain score with MDASI-HN scores. Descriptive statistics, including averages and frequency, were used to analyze feasibility surveys. Results: We report results of 15 pts who have complete data out of 18 registered pts. Using LMM, we compared AWP score curves calculated from BPI and OMP. We observed that both curves followed a parallel trajectory. However, pain scores calculated from OMP were 0.40 units higher than BPI pain. The Bland-Altman plot also confirmed that BPI pain and OMP did not clearly agree. Additionally, AWP scores from OMP had a positive correlation with fatigue (p < 0.001), drowsiness (p < 0.001), decreased activity (p < 0.001), and interference with work (p < 0.001) related scores recorded in MDASI-HN. In terms of feasibility, most surveys indicated that it was extremely easy for subjects to enter responses and not at all difficult for them to use all features of OMP. Furthermore, study participation did not interfere with subjects’ usual activities. Conclusions: Our study showed that pain scores calculated through OMP were, on average higher than those reported by BPI. It also showed the correlation between pain and physical activity. Hence, utilization of OMP in conjunction with questionnaires may improve our understanding of the severity of mucositis-related pain. Clinical trial information: NCT02727062.
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Lwin, May O., Anita Sheldenkar, and Chitra Panchapakesan. "A Digital Mobile Community App for Caregivers in Singapore: Predevelopment and Usability Study." JMIR Nursing 4, no. 2 (May 26, 2021): e25679. http://dx.doi.org/10.2196/25679.
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Background With increasing life expectancy and aging populations, the global prevalence of chronic diseases and the long-term care required for people with comorbidities is rising. This has led to an ever-growing need for caregiving. Previous literature has shown that caregivers face problems of isolation and loneliness. However, many health organizations mainly focus their efforts on in-person community groups that require participants to meet physically. This is not always convenient or accessible for caregivers who are often juggling caring for their care recipient with family and work responsibilities. Objective With medical advancements such as the proliferation of mobile phones and internet technology, caregivers may have opportunities for easier access to resources and support. Technological innovations could help empower the caregiving community to seek assistance for improving their quality of life at their convenience. A community network app called Caregivers’ Circle was conceptualized in response to the needs of the caregivers on a day-to-day caregiving journey. This paper traces the predevelopment inquiry and technical details of this app to provide a clear understanding of its implementation along with a usability study to gauge user opinion of the app within Singapore. Methods A predevelopment survey was conducted to identify specific needs of caregivers and gaps in the currently available web-based community networks. The survey consisted of questions on demographical data, health-related issues of the care recipient, mental and physical health–related issues of the caregiver, digital media use, information seeking, and support. This pre–app development survey was completed by 103 caregivers. Qualitative enquiries were also conducted with caregivers within Singapore to identify issues related to caregiving, support provided, and what caregivers would want from a caregiving mobile app. Results From the feedback garnered from the caregivers, the developers were able to identify several caregivers’ needs and gaps within the current support networks. This feedback was integrated into the mobile app called Caregivers’ Circle upon development. The features of this app include a public forum for community discussions, a marketplace to buy and sell items, care groups to hold private discussions with friends or other users of the app, and a friends feature to search and add new caregiving friends. Conclusions In general, the caregivers liked the Caregivers’ Circle app and were confident that this app could help them have a better quality of life. The Caregivers’ Circle app is unique in its integrated approach. The integration of many features that caregivers need on a daily basis into an easy app can save their time as well as help them navigate their life smoothly.
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Fossas-Olalla, Marta, Beatriz Minguela-Rata, Jose Fernández-Menéndez, and Elena Giménez-Fernández. "Learning experience using an app in Bachelor Degree." WPOM-Working Papers on Operations Management 8 (June 7, 2017): 92. http://dx.doi.org/10.4995/wpom.v8i0.7175.
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<p>The goal of this paper is to expose the planning and implementation of a learning improvement app in subjects related to Operations Management in Bachelor`s Degrees. We show the experience of the app in two subjects, commenting on the differences, the difficulties encountered and the analysis of the results of a survey conducted to the students. This initiative arises from the experience of the Research Group on Production and Information and Communication Technologies (GIPTIC-UCM) of the Complutense University of Madrid as a result of the participation in an Educational Innovation Project.</p>
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Chen, Jinying, Jessica G. Wijesundara, Gabrielle E. Enyim, Lisa M. Lombardini, Ben S. Gerber, Thomas K. Houston, and Rajani S. Sadasivam. "Understanding Patients’ Intention to Use Digital Health Apps That Support Postdischarge Symptom Monitoring by Providers Among Patients With Acute Coronary Syndrome: Survey Study." JMIR Human Factors 9, no. 1 (March 7, 2022): e34452. http://dx.doi.org/10.2196/34452.
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Background After hospital discharge, patients with acute coronary syndrome (ACS) often experience symptoms that prompt them to seek acute medical attention. Early evaluation of postdischarge symptoms by health care providers may reduce unnecessary acute care utilization. However, hospital-initiated follow-up encounters are insufficient for timely detection and assessment of symptoms. While digital health tools can help address this issue, little is known about the intention to use such tools in ACS patients. Objective This study aimed to assess ACS patients’ intention to use digital health apps that support postdischarge symptom monitoring by health care providers and identify patient-perceived facilitators and barriers to app use. Methods Using email invitations or phone calls, we recruited ACS patients discharged from a central Massachusetts health care system between December 2020 and April 2021, to participate in the study. Surveys were delivered online or via phone to individual participants. Demographics and access to technology were assessed. The intention to use a symptom monitoring app was assessed using 5-point Likert-type (from strongly agree to strongly disagree) items, such as “If this app were available to me, I would use it.” Responses were compared across demographic subgroups and survey delivery methods. Two open-ended questions assessed perceived facilitators and barriers to app use, with responses analyzed using qualitative content analysis. Results Among 100 respondents (response rate 8.1%), 45 (45%) completed the survey by phone. The respondents were on average 68 years old (SD 13 years), with 90% (90/100) White, 39% (39/100) women, and 88% (88/100) having access to the internet or a mobile phone. Most participants (65/100, 65%) agreed or strongly agreed that they would use the app, among which 53 (82%) would use the app as often as possible. The percentage of participants with the intention to use the app was 75% among those aged 65-74 years and dropped to 44% among those older than 75 years. The intention to use was higher in online survey respondents (vs phone survey respondents; odds ratio 3.07, 95% CI 1.20-7.88) after adjusting for age and access to technology. The analysis of open-ended questions identified the following 4 main facilitators (motivations): (1) easily reaching providers, (2) accessing or providing information, (3) quickly reaching providers, and (4) consulting providers for symptoms, and the following 4 main barriers: (1) privacy/security concerns, (2) uncomfortable using technology, (3) user-unfriendly app interface, and (4) preference for in-person/phone care. Conclusions There was a strong intention to use a symptom monitoring app postdischarge among ACS patients. However, this intent decreased in patients older than 75 years. The survey identified barriers related to technology use, privacy/security, and the care delivery mode. Further research is warranted to determine if such intent translates into app use, and better symptom management and health care quality.
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Gao, Golden, Raynell Lang, Robert J. Oxoby, Mehdi Mourali, Hasan Sheikh, Madison M. Fullerton, Theresa Tang, et al. "Drivers of downloading and reasons for not downloading COVID-19 contact tracing and exposure notification apps: A national cross-sectional survey." PLOS ONE 17, no. 7 (July 15, 2022): e0269783. http://dx.doi.org/10.1371/journal.pone.0269783.
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Background Bluetooth-enabled smartphone apps have been developed and implemented in different sites globally to help overcome capacity limitations of traditional interview-based COVID-19 contact tracing. Two apps are currently available in Canada: ABTraceTogether exclusively in Alberta and COVID Alert in nine other provinces and territories. This study aims to examine factors associated with downloading of these apps to inform targeted promotion and marketing to increase app uptake. Methods We performed a cross-sectional survey with adult participants (≥18 years old) from an online national panel. Participants were asked if they had downloaded an app and, if applicable, reasons for not downloading. Logistic regression was used to identify sociodemographic factors and trusted information sources associated with downloading and reasons for not downloading. Results Of the included 4,503 respondents (36% response rate), 1,394 (31%) had downloaded an app. Demographic and socioeconomic factors positively associated with app download were: 1) being female, 2) higher household income, 3) higher education level attained, and 4) more liberal political views. The odds of downloading an app were higher for participants who trusted health-related information sources, and lower for those who trusted internet searches, family and friend, or Facebook. The most cited reasons for not downloading were related to data security concerns and perceived lack of benefit from the apps. Interpretation These findings identify sociodemographic segments with the lowest app uptake, reasons for not downloading and trusted information sources to inform targeted promotion and marketing strategies to improve uptake of apps to facilitate contact tracing.
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Roesler, Anna, Kaley Butten, Cobi Calyx, Elizabeth Holmes-Truscott, and Pennie Taylor. "Use and Preferences of Health Apps among Women and Healthcare Professionals Regarding GDM Postpartum Care Related to Diet, Physical Activity, and Weight Management: A Cross-Sectional Survey." Nutrients 15, no. 15 (July 25, 2023): 3304. http://dx.doi.org/10.3390/nu15153304.
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Gestational Diabetes Mellitus (GDM) is a common medical complication of pregnancy, which is associated with increased risk of future diabetes. mHealth (mobile health, in this paper applications abbreviated to apps) can facilitate health modifications to decrease future risks. This study aims to understand mHealth app use and preferences among women with past GDM and healthcare professionals (HCP) in Australia. An explorative cross-sectional online survey was disseminated via social media, a national diabetes registry, and professional networks. Descriptive analyses were conducted on valid responses (women with prior GDM: n = 1475; HCP: n = 75). One third (33%) of women with prior GDM have used health apps, and a further 80% of non-app users were open to using a health app if recommended by their HCP. Over half (53%) of HCPs supported health information delivery via mHealth, although only 14% had recommended a health app to women post-GDM, and lack of knowledge about mHealth apps was common. Health app users reported that they preferred tracking features, while non-users desired credible health and dietary information and plans. Expanding mHealth app use could facilitate healthy behaviours, but endorsement by HCPs is important to women and is still currently lacking.
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Ashraf, Muhammad, Wang Rui Yuan, Muhammad Raza, and Noureen Kanwal. "Effects of Social Media Apps on University Students’ Health Behaviour in Physical Activity, Weight Loss, and Nutrition Perspective." Review of Applied Management and Social Sciences 5, no. 2 (June 30, 2022): 219–30. http://dx.doi.org/10.47067/ramss.v5i2.230.
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The extensive body of literature focuses on examining the role of social media apps in health-related matters. Conversely, developing county like Pakistan, there is lack of empirical evidence regarding social media app influence specifically on health-related matters in developing countries like Pakistan. The study aimed to examine the purpose of social media apps, commonly used apps, impact, and demographic attributes on health-related matters. Three domains of health (physical activity, weight loss, and nutritional choices) were considered among university students in Southern Punjab, Multan, Pakistan. This quantitative study was carried out on 200 university students aged 18-29 years, through a survey design. Results showed the primary reason for using social media apps is to gain health-related information, effectively and conveniently and YouTube is the most preferred application for this purpose. The impact of apps on health-related matters (physical activity, weight loss, and nutritional choices) was found to be significant and measured through regression analysis. Demographic variables, gender, and age were examined relative to study variables (app usage, physical activity, weight loss, and nutritional choices), gender differences are significant in health-related app usage and physical activity, while it remains insignificant in weight loss and nutritional choices. Age differences were significant in in-app usage, physical activity, weight loss, and nutritional choices. The key findings of this particular study could assist app developers and health practitioners to encourage the masses in adopting health-related behaviors and by providing sufficient introductory app-related information by creating realistic performance expectancy thus minimizing the risk perception of the masses.
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Acorda, Darlene, Michael Businelle, and Diane Santa Maria. "Perceived Impacts, Acceptability, and Recommendations for Ecological Momentary Assessment Among Youth Experiencing Homelessness: Qualitative Study." JMIR Formative Research 5, no. 4 (April 6, 2021): e21638. http://dx.doi.org/10.2196/21638.
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Background The use of ecological momentary assessment (EMA) to study youth experiencing homelessness (YEH) behaviors is an emerging area of research. Despite high rates of participation and potential clinical utility, few studies have investigated the acceptability and recommendations for EMA from the YEH perspective. Objective This study aimed to describe the perceived benefits, usability, acceptability, and barriers to the use of EMA from the homeless youth perspective. Methods YEH were recruited from a larger EMA study. Semistructured exit interviews were performed using an interview guide that focused on the YEH experience with the EMA app, and included perceived barriers and recommendations for future studies. Data analyses used an inductive approach with thematic analysis to identify major themes and subthemes. Results A total of 18 YEH aged 19-24 years participated in individual and group exit interviews. The EMA was highly acceptable to YEH and they found the app and EMA surveys easy to navigate. Perceived benefits included increased behavioral and emotional awareness with some YEH reporting a decrease in their high-risk behaviors as a result of participation. Another significant perceived benefit was the ability to use the phones for social support and make connections to family, friends, and potential employers. Barriers were primarily survey and technology related. Survey-related barriers included the redundancy of questions, the lack of customizable responses, and the timing of survey prompts. Technology-related barriers included the “freezing” of the app, battery charge, and connectivity issues. Recommendations for future studies included the need to provide real-time mental health support for symptomatic youth, to create individually customized questions, and to test the use of personalized motivational messages that respond to the EMA data in real time. Conclusions YEH are highly receptive to the use of EMA in studies. Further studies are warranted to understand the impact of EMA on YEH behaviors. Incorporating the YEH perspective into the design and implementation of EMA studies may help minimize barriers, increase acceptability, and improve participation rates in this hard-to-reach, disconnected population.
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Lieffers, Jessica R. L., Vivienne A. Vance, and Rhona M. Hanning. "Use of Mobile Device Applications In Canadian Dietetic Practice." Canadian Journal of Dietetic Practice and Research 75, no. 1 (March 2014): 41–47. http://dx.doi.org/10.3148/75.1.2014.41.
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Purpose A cross-sectional web-based survey of dietitians was used to explore topics related to mobile devices and their applications (apps) in Canadian dietetic practice. Methods A survey was drafted, posted on SurveyMonkey, and pretested with dietitians and dietetic interns. Dietitians of Canada (DC), a supporter of this work, promoted the survey to members through its monthly electronic newsletters from January 2012 to April 2012. Results Of 139 dietitians who answered some survey questions, 118 finished the survey; this represents a response rate of approximately 3%. Overall, 57.3% of respondents reported app use in practice, and 54.2% had a client ask about or use a nutrition/food app. About 40.5% of respondents had recommended nutrition/food apps to clients. Respondents were enthusiastic about apps, but many described challenges with use. From the survey data, three themes emerged that can affect dietitians’ use of apps and whether they recommend apps to clients: mobile device and app factors (access to information/ tools, content quality, usability, accessibility/compatibility, and cost), personal factors (knowledge, interest, suitability, and willingness/ability to pay), and workplace factors. Conclusions Apps are now infiltrating dietetic practice. Several factors can affect dietitians’ use of apps and whether they recommend them to clients. These findings will help guide future development and use of apps in practice.
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Choi, Jung min, and Yu na Kim. "Study on App Contents for Building a Daily Life Safety Information System at Home: Targeting Infants and Toddlers." Residential Environment Institute Of Korea 20, no. 4 (December 31, 2022): 129–43. http://dx.doi.org/10.22313/reik.2022.20.4.129.
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This study aims to provide information for the development of an information system related to the daily life safety of infants and young children at home. An online survey was conducted on 500 women aged 20-49 across the country who had experience in child-rearing on their experiences and perceptions related to safety in the process of raising infants and toddlers, as well as their demands for a daily life safety information system. As a result, first, in Korea, a lot of information related to childcare safety is provided through the community bulletin board of Mom Cafe, but it is operated privately for men, showing difficulties in accessibility and limitations in reliability. Second, information related to daily life safety for children in online is mainly supplied by public institutions, but the content provided is common sense and has many overlapping contents, especially it is very difficult to find information targeting infants and toddlers in the home. Third, while the survey participants' demand for emergency medical information was high, the urgent need for improvement measures was improvement of the quantity and quality of content and comprehensive and customized content. Finally, as a result of subdividing the characteristics of the survey participants in order to provide content customized to consumers related to safety issues, they were divided into 'sensitive' and 'general', which are very sensitive to living safety. Among them, the safety-sensitive type showed more active demand and demand for participation in all evaluation items of hope for information system related to safety for infants and toddlers at home.
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Shrestha, Roman, Celia Fisher, Jeffrey A. Wickersham, Antoine Khati, Rayne Kim, Iskandar Azwa, Colleen Mistler, and Lloyd Goldsamt. "Privacy and Confidentiality Concerns Related to the Use of mHealth Apps for HIV Prevention Efforts Among Malaysian Men Who Have Sex With Men: Cross-sectional Survey Study." JMIR Formative Research 5, no. 12 (December 16, 2021): e28311. http://dx.doi.org/10.2196/28311.
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Background The use of mobile health (mHealth), including smartphone apps, can improve the HIV prevention cascade for key populations such as men who have sex with men (MSM). In Malaysia, where stigma and discrimination toward MSM are high, the mHealth platform has the potential to open new frontiers for HIV prevention efforts. However, little guidance is available to inform researchers about privacy and confidentiality concerns unique to the development and implementation of app-based HIV prevention programs. Objective Given the lack of empirical data in this area, we aim to understand the privacy and confidentiality concerns associated with participation in a hypothetical app-based research study for HIV prevention efforts. Methods A cross-sectional, web-based survey was conducted between June and July 2020 among 355 Malaysian MSM. The survey included demographic and sexual health questions and a series of short videos describing a hypothetical app-based HIV prevention program, followed by questions related to privacy and confidentiality concerns in each step of the app-based program (ie, recruitment, clinical interaction, risk assessment, and weekly reminder). Multivariable logistic regression models were used to identify the correlates of willingness to use such an app-based program. Results Most of the participants (266/355, 74.9%) indicated their willingness to participate in a hypothetical mHealth app–based HIV prevention program. Participants expressed concerns about privacy, confidentiality, data security, and risks and benefits of participating in all stages of the app-based HIV research process. Multivariate analyses indicated that participants who had a higher degree of perceived participation benefits (adjusted odds ratio [aOR] 1.873; 95% CI 1.274-2.755; P=.001) were more willing to participate. In contrast, participants who had increased concerns about app-based clinical interaction and e-prescription (aOR 0.610; 95% CI 0.445-0.838; P=.002) and those who had a higher degree of perceived risks of participating (aOR 0.731; 95% CI 0.594-0.899; P=.003) were less willing to participate. Conclusions Overall, our results indicate that mHealth app–based HIV prevention programs are acceptable for future research on Malaysian MSM. The findings further highlighted the role of privacy and confidentiality, as well as the associated risks and benefits associated with participation in such a program. Given the ever-evolving nature of such technological platforms and the complex ethical–legal landscape, such platforms must be safe and secure to ensure widespread public trust and uptake.
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Santana-Sosa, Aída, Martin Aichholzer, Elena Mitrenova, and Martin Schachenhofer. "Exploring the State of Knowledge and Gaps Regarding Sustainability within Viennese Construction Industry." Acta Polytechnica CTU Proceedings 38 (December 21, 2022): 410–16. http://dx.doi.org/10.14311/app.2022.38.0410.
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Different approaches to assess sustainability goals are found in construction sector, mainly related to energy efficiency through building technology and high-tech components, to low-tech strategies based on passive planning methods, the use of renewable raw materials, and building certification programs, which, however, are mainly an evaluation of already built objects. Austrian construction industry is extremely fragmented and heterogeneous, making research, development and innovation an issue for companies. The core of this project is to bridge the specific gaps in knowledge within Viennese construction companies about sustainable architecture and respond to these urgent needs by developing a customized postgraduate course. Within the first phase of the project, team meetings, a workshop and an online survey were run to assess the state of knowledge of Viennese companies. By doing so, information deficits were identified, companies' need for knowledge was determined and topics to be transferred were raised.
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Bashi, Nazli, Marlien Varnfield, and Mohanraj Karunanithi. "A Smartphone App for Patients With Acute Coronary Syndrome (MoTER-ACS): User-Centered Design Approach." JMIR Formative Research 4, no. 12 (December 18, 2020): e17542. http://dx.doi.org/10.2196/17542.
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Background Postdischarge interventions are limited for patients with acute coronary syndrome (ACS) due to few scheduled visits to outpatient clinics and the need to travel from remote areas. Smartphones have become viable lifestyle technology to deliver home-based educational and health interventions. Objective The aim of this study was to develop a smartphone-based intervention for providing postdischarge support to patients with ACS. Methods The content of Mobile Technology–Enabled Rehabilitation for Patients with ACS (MoTER-ACS) was derived from a series of small studies, termed prestudy surveys, conducted in 2017. The prestudy surveys were conducted in Prince Charles Hospital, Queensland, Australia, and consisted of questionnaires among a convenience sample of patients with ACS (n=30), a focus group discussion with health care professionals (n=10), and an online survey among cardiologists (n=15). Responses from the patient survey identified educational topics of MoTER-ACS. The focus group with health care professionals assisted with identifying educational materials, health monitoring, and self-management interventions. Based on the results of the cardiologists’ survey, monitoring of symptoms related to heart failure exacerbation was considered as a weekly diary. Results The MoTER-ACS app covers multimedia educational materials to adopt a healthy lifestyle and includes user-friendly tools to monitor physiological and health parameters such as blood pressure, weight, and pain, assisting patients in self-managing their condition. A web portal that is linked to the data from the smartphone app is available to clinicians to regularly access patients’ data and provide support. Conclusions The MoTER-ACS platform extends the capabilities of previous mobile health platforms by providing a home-based educational and self-management intervention for patients with ACS following discharge from the hospital. The MoTER-ACS intervention narrows the gap between existing hospital-based programs and home-based interventions by complementing the postdischarge program for patients with ACS.
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Shaw, Matthew Peter, Liam Paul Satchell, Steve Thompson, Ed Thomas Harper, Carlos Balsalobre-Fernández, and Daniel James Peart. "Smartphone and Tablet Software Apps to Collect Data in Sport and Exercise Settings: Cross-sectional International Survey." JMIR mHealth and uHealth 9, no. 5 (May 13, 2021): e21763. http://dx.doi.org/10.2196/21763.
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Background Advances in smartphone technology have facilitated an increase in the number of commercially available smartphone and tablet apps that enable the collection of physiological and biomechanical variables typically monitored in sport and exercise settings. Currently, it is not fully understood whether individuals collect data using mobile devices and tablets, independent of additional hardware, in their practice. Objective This study aims to explore the use of smartphone and tablet software apps to collect data by individuals working in various sport and exercise settings, such as sports coaching, strength and conditioning, and personal training. Methods A total of 335 practitioners completed an electronic questionnaire that surveyed their current training practices, with a focus on 2 areas: type of data collection and perceptions of reliability and validity regarding app use. An 18-item questionnaire, using a 5-point Likert scale, evaluated the perception of app use. Results A total of 204 respondents reported using apps to directly collect data, with most of them (196/335, 58.5%) collecting biomechanical data, and 41.2% (138/335) respondents reported using at least one evidence-based app. A binomial general linear model determined that evidence accessibility (β=.35, 95% CI 0.04-0.67; P=.03) was significantly related to evidence-based app use. Age (β=−.03, 95% CI −0.06 to 0.00; P=.03) had a significant negative effect on evidence-based app use. Conclusions This study demonstrates that practitioners show a greater preference for using smartphones and tablet devices to collect biomechanical data such as sprint velocity and jump performance variables. When it is easier to access information on the quality of apps, practitioners are more likely to use evidence-based apps. App developers should seek independent research to validate their apps. In addition, app developers should seek to provide clear signposting to the scientific support of their software in alternative ways.
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Huberty, Jennifer, Megan E. Puzia, Linda Larkey, Ana-Maria Vranceanu, and Michael R. Irwin. "Can a meditation app help my sleep? A cross-sectional survey of Calm users." PLOS ONE 16, no. 10 (October 22, 2021): e0257518. http://dx.doi.org/10.1371/journal.pone.0257518.
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Use of mindfulness mobile apps has become popular, however, there is little information about subscribers’ perceptions of app content and its impact on sleep and mental health. The purpose of this study was to survey subscribers to Calm, a popular mindfulness meditation app, to explore perceived improvements in sleep and mental health, evaluate what components of the app were associated with improvements in sleep and mental health, and determine whether improvements differed based on sleep quality. Calm subscribers who had used a sleep-related component in the last 90 days completed a Web-based investigator-developed survey and the Pittsburgh Sleep Quality Index. The survey included questions about using Calm for sleep, sleep disturbances, mental health diagnoses (i.e., anxiety, depression, PTSD) and perceived impacts of the app. Participants reported on the extent to which they felt that using Calm had improved their sleep and mental health. Most participants reported sleep disturbance, and almost half reported a mental health diagnosis. The majority of participants reported that using Calm helped them fall asleep, stay asleep, and get restful sleep. All sleep components were associated with perceived improvements in sleep disturbance. Severity of sleep disturbance moderated relationships between using Calm components and reporting improved sleep. Among subscribers with mental health diagnoses, most reported that Calm helped improve symptoms. Perceived improvement in anxiety and depression was associated with using Calm’s meditation components but not Sleep Stories or music/soundscapes. Severity of sleep disturbance did not moderate relationships between using Calm components and reporting mental health improvements. Given the accessibility of app-based meditation, research is needed to evaluate the efficacy of meditation apps to improve sleep disturbance. While some sleep content may be helpful for sleep, more research is needed to test what specific content affects mental health.
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Barbosa, Julierme Zimmer, Stephen A. Prior, Guilherme Quaresma Pedreira, Antonio Carlos Vargas Motta, Giovana Clarice Poggere, and Gabriel Democh Goularte. "Global trends in apps for agriculture." Multi-Science Journal 3, no. 1 (April 7, 2020): 16. http://dx.doi.org/10.33837/msj.v3i1.1095.
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Although applications (apps) for mobile devices show increasing popularity in the agricultural sector, studies regarding their availability are still incipient. In the present study, a survey was conducted to assess global trends of app availability for agriculture. This survey was conducted in 2015 and 2018 in two app stores with free access (Google Play and Windows Phone); searches for the following keywords were included in the survey: agriculture, agri, and farming. In 2015 and 2018, these searches found 244 and 599 apps from 33 and 61 countries, respectively. Countries with the largest number of apps (i.e., USA, Brazil, and India) accounted for ~64% of all surveyed apps. However, diversity and availability of paid apps was greater in USA and Brazil compared to India. Although many apps were related to magazines and market information, numerous other apps were available on farm management, pests and diseases, precision agriculture, and technical assistance. Related apps that used photographic input and citizen science data were also found. Our study indicates that the global development of apps for agriculture is growing rapidly, with most serving informative purposes at no cost to users.
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Groat, Danielle, Hiral Soni, Maria Grando, Bithika Thompson, David Kaufman, and Curtiss Cook. "Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors." Applied Clinical Informatics 09, no. 02 (April 2018): 440–49. http://dx.doi.org/10.1055/s-0038-1660438.
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Background Type 1 diabetes (T1D) care requires multiple daily self-management behaviors (SMBs). Preliminary studies on SMBs rely mainly on self-reported survey and interview data. There is little information on adult T1D SMBs, along with corresponding compensation techniques (CTs), gathered in real-time. Objective The article aims to use a patient-centered approach to design iDECIDE, a smartphone application that gathers daily diabetes SMBs and CTs related to meal and alcohol intake and exercise in real-time, and contrast patients' actual behaviors against those self-reported with the app. Methods Two usability studies were used to improve iDECIDE's functionality. These were followed by a 30-day pilot test of the redesigned app. A survey designed to capture diabetes SMBs and CTs was administered prior to the 30-day pilot test. Survey results were compared against iDECIDE logs. Results Usability studies revealed that participants desired advanced features for self-tracking meals and alcohol intake. Thirteen participants recorded over 1,200 CTs for carbohydrates during the 30-day study. Participants also recorded 76 alcohol and 166 exercise CTs. Comparisons of survey responses and iDECIDE logs showed mean% (standard deviation) concordance of 77% (25) for SMBs related to meals, where concordance of 100% indicates a perfect match. There was low concordance of 35% (35) and 46% (41) for alcohol and exercise events, respectively. Conclusion The high variability found in SMBs and CTs highlights the need for real-time diabetes self-tracking mechanisms to better understand SMBs and CTs. Future work will use the developed app to collect SMBs and CTs and identify patient-specific diabetes adherence barriers that could be addressed with individualized education interventions.
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AlQuran, Ala, Mehak Batra, Nugroho Harry Susanto, Anne E. Holland, Janet M. Davies, Bircan Erbas, and Edwin R. Lampugnani. "Community Response to the Impact of Thunderstorm Asthma Using Smart Technology." Allergy & Rhinology 12 (January 2021): 215265672110107. http://dx.doi.org/10.1177/21526567211010728.
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Background The most severe thunderstorm asthma (TA) event occurred in Melbourne on the 21st November 2016 and during this period, daily pollen information was available and accessible on smart devices via an App. An integrated survey within the App allows users to self-report symptoms. Objective To explore patterns of symptom survey results during the period when the TA event occurred. Methods Symptom data from the Melbourne Pollen Count and Forecast App related to asthma history, hay fever symptoms, and medication use was explored. A one-week control period before and after the event was considered. Chi-square tests and logistic regression were used to assess associations between sex, age, symptoms, and medication use. Results Of the 28,655 responses, during the 2016 pollen season, younger (18 to 40 years) males, with no hay fever and no asthma were the most single and regular responders. During the TA event for new users, sex was only significantly associated with hay fever ( p = 0.008) of which 60.2% of females’ responses reported having hay fever, while 43% of males’ responses did not. Those with mild symptoms peaked during the TA event. Conclusions Many individuals completed the survey on the app for the first time during the TA event indicating the potential of digital technologies to be used as indicators of health risk among populations at risk of TA events.
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Flesia, Luca, Valentina Fietta, Carlo Foresta, and Merylin Monaro. "Cigarette Smoking and Dating App Use: Findings from a Survey in a Sample of Adults in Italy." European Journal of Investigation in Health, Psychology and Education 11, no. 2 (June 15, 2021): 557–69. http://dx.doi.org/10.3390/ejihpe11020040.
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Existing studies in the literature indicate an association between the use of dating apps and substance-related behaviours (i.e., alcohol consumption, drug consumption). However, to date, no studies investigated the relation between dating app use and smoking. This study aims to explore this association. A total of 1278 respondents completed an online ad hoc questionnaire assessing demographics, smoking habits, dating app use, motivations for using dating apps. Multiple logistic regression analyses were run to investigate the relation between demographics and dating apps use on tobacco consumption. Being active user was significantly associated with being smoker, light daily and moderate-to-heavy smoker. Among users, using apps with the motive of searching for friends accounted for lower odds of smoking, light daily smoking and moderate-to-heavy smoking. However, heavy dating app users were less likely to smoke, to be light daily smokers and to be moderate-to-heavy smokers. The study indicates an association between using the apps and smoking, suggesting that motives for using the apps and intensity of use may moderate this association.
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Ziacchi, Matteo, Giulio Molon, Vittorio Giudici, Giovanni Luca Botto, Miguel Viscusi, Francesco Brasca, Amato Santoro, et al. "Integration of a Smartphone HF-Dedicated App in the Remote Monitoring of Heart Failure Patients with Cardiac Implantable Electronic Devices: Patient Access, Acceptance, and Adherence to Use." Journal of Clinical Medicine 12, no. 17 (August 25, 2023): 5528. http://dx.doi.org/10.3390/jcm12175528.
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(200 w) Introduction. Remote monitoring (RM) of cardiac implantable electronic device (CIED) diagnostics helps to identify patients potentially at risk of worsening heart failure (HF). Additionally, knowledge of patient HF-related symptoms is crucial for decision making. Patient smartphone applications may represent an ideal option to remotely collect this information. Purpose. To assess real-world HF patient access, acceptance, and adherence to use of an HF-dedicated smartphone application (HF app). Methods. In this study, 10 Italian hospitals administered a survey on smartphone/app use to HF patients with CIED. The subgroup who accepted it downloaded the HF app. Mean 1-year adherence of the HF app use was evaluated. Results. A total of 495 patients (67 ± 13 years, 79% males, 26% NYHA III–IV) completed the survey, of which 84% had access to smartphones and 85% were willing to use the HF app. In total, 311/495 (63%) downloaded the HF app. Patients who downloaded the HF app were younger and had higher school qualification. Patients who were ≥60 years old had higher mean 1-year adherence (54.1%) than their younger counterparts (42.7%; p < 0.001). Hospitals with RM-dedicated staff had higher mean 1-year patient adherence (64.0% vs. 33.5%; p < 0.001). Adherence to HF app decreased from 63.3% (weeks_1–13) to 42.2% (weeks_40–52, p < 0.001). Conclusions. High access and acceptance of smartphones/apps by HF patients with CIED allow HF app use for RM of patient signs/symptoms. Younger patients with higher school qualifications are more likely to accept HF app; however, older patients have higher long-term adherence.
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Yan, Yu-Hua, Tsair-Wei Chien, Yu-Tsen Yeh, Willy Chou, and Shu-Chen Hsing. "An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study." JMIR mHealth and uHealth 8, no. 7 (July 31, 2020): e17857. http://dx.doi.org/10.2196/17857.
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Background Mental illness (MI) is common among those who work in health care settings. Whether MI is related to employees’ mental status at work is yet to be determined. An MI app is developed and proposed to help employees assess their mental status in the hope of detecting MI at an earlier stage. Objective This study aims to build a model using convolutional neural networks (CNNs) and fit statistics based on 2 aspects of measures and outfit mean square errors for the automatic detection and classification of personal MI at the workplace using the emotional labor and mental health (ELMH) questionnaire, so as to equip the staff in assessing and understanding their own mental status with an app on their mobile device. Methods We recruited 352 respiratory therapists (RTs) working in Taiwan medical centers and regional hospitals to fill out the 44-item ELMH questionnaire in March 2019. The exploratory factor analysis (EFA), Rasch analysis, and CNN were used as unsupervised and supervised learnings for (1) dividing RTs into 4 classes (ie, MI, false MI, health, and false health) and (2) building an ELMH predictive model to estimate 108 parameters of the CNN model. We calculated the prediction accuracy rate and created an app for classifying MI for RTs at the workplace as a web-based assessment. Results We observed that (1) 8 domains in ELMH were retained by EFA, (2) 4 types of mental health (n=6, 63, 265, and 18 located in 4 quadrants) were classified using the Rasch analysis, (3) the 44-item model yields a higher accuracy rate (0.92), and (4) an MI app available for RTs predicting MI was successfully developed and demonstrated in this study. Conclusions The 44-item model with 108 parameters was estimated by using CNN to improve the accuracy of mental health for RTs. An MI app developed to help RTs self-detect work-related MI at an early stage should be made more available and viable in the future.
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Zeiger, William, Scott DeBoer, and John Probasco. "Patterns and Perceptions of Smartphone Use Among Academic Neurologists in the United States: Questionnaire Survey." JMIR mHealth and uHealth 8, no. 12 (December 24, 2020): e22792. http://dx.doi.org/10.2196/22792.
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Background Smartphone technology is ubiquitous throughout neurologic practices, and numerous apps relevant to a neurologist’s clinical practice are now available. Data from other medical specialties suggest high utilization of smartphones in routine clinical care. However, the ways in which these devices are used by neurologists for patient care–related activities are not well defined. Objective This paper aims to characterize current patterns of smartphone use and perceptions of the utility of smartphones for patient care–related activities among academic neurology trainees and attending physicians. We also seek to characterize areas of need for future app development. Methods We developed a 31-item electronic questionnaire to address these questions and invited neurology trainees and attendings of all residency programs based in the United States to participate. We summarized descriptive statistics for respondents and specifically compared responses between trainees and attending physicians. Results We received 213 responses, including 112 trainee and 87 attending neurologist responses. Neurology trainees reported more frequent use of their smartphone for patient care–related activities than attending neurologists (several times per day: 84/112, 75.0% of trainees; 52/87, 59.8% of attendings; P=.03). The most frequently reported activities were internet use, calendar use, communication with other physicians, personal education, and health care–specific app use. Both groups also reported regular smartphone use for the physical examination, with trainees again reporting more frequent usage compared with attendings (more than once per week: 35/96, 36.5% of trainees; 8/58, 13.8% of attendings; P=.03). Respondents used their devices most commonly for the vision, cranial nerve, and language portions of the neurologic examination. The majority of respondents in both groups reported their smartphones as “very useful” or “essential” for the completion of patient care–related activities (81/108, 75.0% of trainees; 50/83, 60.2% of attendings; P=.12). Neurology trainees reported a greater likelihood of using their smartphones in the future than attending neurologists (“very likely”: 73/102, 71.6% of trainees; 40/82, 48.8% of attendings; P=.005). The groups differed in their frequencies of device usage for specific patient care–related activities, with trainees reporting higher usage for most activities. Despite high levels of use, only 12 of 184 (6.5%) respondents reported ever having had any training on how to use their device for clinical care. Regarding future app development, respondents rated vision, language, mental status, and cranial nerve testing as potentially being the most useful to aid in the performance of the neurologic examination. Conclusions Smartphones are used frequently and are subjectively perceived to be highly useful by academic neurologists. Trainees tended to use their devices more frequently than attendings. Our results suggest specific avenues for future technological development to improve smartphone use for patient care–related activities. They also suggest an unmet need for education on effectively using smartphone technology for clinical care.
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Koepp, Janine, Miriam Viviane Baron, Paulo Ricardo Hernandes Martins, Cristine Brandenburg, Ariane Tieko Frare Kira, Vanessa Devens Trindade, Luis Manuel Ley Dominguez, et al. "The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores." JMIR mHealth and uHealth 8, no. 6 (June 16, 2020): e14266. http://dx.doi.org/10.2196/14266.
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Background The increasing global use of smartphones has contributed to the growing use of apps for various health conditions, showing promising results. Through mobile apps, it is possible to perform chronological and iconographic follow-up of wounds, such as pressure ulcers, using a simple and practical tool. However, numerous surveys have pointed out issues related to the functionality, design, safety, and veracity of app information. Objective The objective of this study was to perform a systematic review of published studies regarding mobile apps and a systematic survey in app stores looking for apps developed to identify, evaluate, treat, and/or prevent pressure ulcers in adults, and to evaluate those apps based on software quality characteristics. Methods This review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main bibliographic databases were searched between January 1, 2007 and October 15, 2018, and an app survey was performed in app stores. The selected studies were evaluated according to software quality characteristics by the International Organization for Standardization/International Electrotechnical Commission (ie, ISO/IEC 25010:2011) that involve functionality, efficiency, compatibility, usability, reliability, safety, maintenance, and portability. Results The search in databases and web-based app stores returned a total of 2075 studies. After removal of duplicates and screening of titles and abstracts, 48 complete articles were evaluated for eligibility, and among these, six were included for qualitative synthesis. Conclusions In this review, it was observed that all studies involved the initial phase of app development or improvement, and therefore, the apps still need to be evaluated using different software quality characteristics, so that in the future, a gold standard can be approached. Therefore, the prescription of an app for the identification, evaluation, treatment, and/or prevention of pressure ulcers in adults is currently limited. However, the evaluated studies provided important insights for future research. It is of utmost importance that future surveys develop apps jointly with users, using collaborative and cocreative processes and assess patients in real-world situations across different service settings, and they should consider different ethnicities, so that apps are useful to end users, such as patients, family members, health professionals, and students, in the health area. In addition, it is necessary for studies to describe the methodological course of app development in a clear and objective way in order to ensure reproducibility of the study and to offer inputs to allow future research to approach the development of ideal apps that are geared to positively impact the health of end users. Trial Registration PROSPERO CRD42018114137; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=114137
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Hendrie, Gilly A., M. Sazzad Hussain, Emily Brindal, Genevieve James-Martin, Gemma Williams, and Anna Crook. "Impact of a Mobile Phone App to Increase Vegetable Consumption and Variety in Adults: Large-Scale Community Cohort Study." JMIR mHealth and uHealth 8, no. 4 (April 17, 2020): e14726. http://dx.doi.org/10.2196/14726.
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Background Large-scale initiatives to improve diet quality through increased vegetable consumption have had small to moderate success. Digital technologies have features that are appealing for health-related behavior change interventions. Objective This study aimed to describe the implementation and evaluation of a mobile phone app called VegEze, which aims to increase vegetable intake among Australian adults. Methods To capture the impact of this app in a real-world setting, the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was utilized. An uncontrolled, quantitative cohort study was conducted, with evaluations after 21 and 90 days. The app was available in the Apple App Store and was accompanied by television, radio, and social media promotion. Evaluation surveys were embedded into the app using ResearchKit. The primary outcomes were vegetable intake (servings per day) and vegetable variety (types per day). Psychological variables (attitudes, intentions, self-efficacy, and action planning) and app usage were also assessed. Descriptive statistics and multiple linear regression were used to describe the impact of the app on vegetable intake and to determine the characteristics associated with the increased intake. Results Data were available from 5062 participants who completed the baseline survey; 1224 participants completed the 21-day survey, and 273 completed the 90-day survey. The participants resided across Australia and were mostly women (4265/5062, 84.3%) with a mean age of 48.2 years (SD 14.1). The mean increase in intake was 0.48 servings, from 3.06 servings at baseline to 3.54 servings at the end of the 21-day challenge (t1223=8.71; P<.001). The variety of vegetables consumed also increased by 0.35 types per day (t1123=9.59; P<.001). No changes in intake and variety were found from day 21 to the 90-day follow-up. Participants with the highest app usage increased their vegetable intake by 0.63 (SD 2.02) servings per day compared with 0.32 (SD 1.69) servings per day for those with the lowest app usage. On the basis of multiple linear regression, gender; age; BMI; psychological variables of self-efficacy, attitudes, intentions, and action planning specific to vegetable intake; baseline vegetable intake; and active days of app usage accounted for 23.3% of the variance associated with the change in intake (F9,1208=42.09; P<.001). Baseline vegetable intake was the strongest predictor of change in intake (beta=−.495; P<.001), with lower baseline intake associated with a greater change in intake. Self-efficacy (beta=.116; P<.001), action planning (beta=.066; P=.02), BMI (beta=.070; P=.01), and app usage (beta=.081; P=.002) were all significant predictors of the change in intake. Conclusions The VegEze app was able to increase intake by half a serving in a large sample of Australian adults. Testing the app in a real-world setting and embedding the consent process allowed for greater reach and an efficient, robust evaluation. Further work to improve engagement is warranted.
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Mullins, Kimberly. "Research Plus™ mobile app: information literacy “On the Go”." Reference Services Review 45, no. 1 (February 13, 2017): 38–53. http://dx.doi.org/10.1108/rsr-03-2016-0020.
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Purpose This paper aims to describe a case study illustrating the systematic approach librarians used to develop of an information literacy mobile application (app) prototype that aids students in performing research tasks “on the go”. Design/methodology/approach The initial findings from a student survey on technology use indicated the value of an information literacy mobile application. The analysis, design, development, implementation and evaluation approach was used to develop the app. Alpha and small-scale usability testing was performed to evaluate the prototype’s readiness for deployment. Findings The survey analysis indicated that students were not using mobile devices as expected for library related tasks. Student suggestions for improving their library experiences included mobile access to the libraries’ digital collection, mobile reference support and an application that assisted them in effectively using these resources. Usability studies indicated a positive response to the app and its readiness for beta testing among the inclusive student population. Originality/value To the author’s knowledge, this is the first native information literacy mobile application whose aim is to help students with research on the go. The step-by-step approach used for each phase of development, as well as the implications for success, may serve as a model for libraries’ seeking to enhance their mobile resources.
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Kreuter, Frauke, Georg-Christoph Haas, Florian Keusch, Sebastian Bähr, and Mark Trappmann. "Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent." Social Science Computer Review 38, no. 5 (December 18, 2018): 533–49. http://dx.doi.org/10.1177/0894439318816389.
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The new European General Data Protection Regulation (GDPR) imposes enhanced requirements on digital data collection. This article reports from a 2018 German nationwide population-based probability app study in which participants were asked through a GDPR compliant consent process to share a series of digital trace data, including geolocation, accelerometer data, phone and text messaging logs, app usage, and access to their address books. With about 4,300 invitees and about 650 participants, we demonstrate (1) people were just as willing to share such extensive digital trace data as they were in studies with far more limited requests; (2) despite being provided more decision-related information, participants hardly differentiated between the different data requests made; and (3) once participants gave consent, they did not tend to revoke it. We also show (4) evidence for a widely-held belief that explanations regarding data collection and data usage are often not read carefully, at least not within the app itself, indicating the need for research and user experience improvement to adequately inform and protect participants. We close with suggestions to the field for creating a seal of approval from professional organizations to help the research community promote the safe use of data.
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Manlove, Jennifer, Brooke Whitfield, Jane Finocharo, and Elizabeth Cook. "Lessons Learned from Replicating a Randomized Control Trial Evaluation of an App-Based Sexual Health Program." International Journal of Environmental Research and Public Health 18, no. 6 (March 23, 2021): 3305. http://dx.doi.org/10.3390/ijerph18063305.
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This study presents findings from a randomized control trial replication evaluation of Pulse, an app-based pregnancy prevention program implemented with Black and Latinx women aged 18–20, a population with high rates of unplanned pregnancy. We used social media advertisements to enroll 1013 women online across the U.S. and automatically randomized participants to either the Pulse reproductive health app or a general health control app, stratifying by age and race/Latinx ethnicity. Participants received reminder text messages to view the app as well as text messages with app-related content throughout the intervention. Linear probability models were conducted on the analytic sample of 871 participants who completed the six-week survey and 798 who completed the six-month survey and adjusted for permuted block randomization and multiple hypothesis testing. Compared to the control group, intervention group participants had higher contraceptive knowledge (p = 0.000), which replicates findings from an earlier evaluation. However, these impacts were not sustained at six-month follow-up (p = 0.162). We found no other significant program impacts. This contrasts with an earlier evaluation that found intervention participants were less likely to have had sex without a hormonal or long-acting reversible contraceptive (LARC) method and had greater self-confidence to use contraception consistently than the control group. Different demographic characteristics, lower app usage, and more negative attitudes about and usage of hormonal/LARC contraception in the current sample may help to explain fewer impacts than the earlier evaluation.
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Mendez, Kyra Jennifer Waligora, and Hae Ra Han. "4056 Dementia family caregivers’ mobile app use and intention to adopt mHealth apps." Journal of Clinical and Translational Science 4, s1 (June 2020): 54–55. http://dx.doi.org/10.1017/cts.2020.194.
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OBJECTIVES/GOALS: To describe preliminary results of Alzheimer’s and dementia caregivers’ (CGs) mobile app use and intention to adopt mHealth apps for their own chronic condition self-management. To discuss implications for designing and implementing mHealth interventions for CGs. METHODS/STUDY POPULATION: This study aims to recruit 110 racially and ethnically diverse family caregivers (CGs) who have a chronic condition, provide care for persons with Alzheimer’s disease or related dementias, and have access to a mobile device. This is a cross-sectional correlational study collecting data with computer-assisted telephone interviews stored through REDCap. The study survey was created using existing surveys about mobile app use; relevant, well-validated research instruments; and questions from the U.S. Census and other national surveys. CGs are being actively recruited from the Baltimore-Washington metropolitan area using various recruitment strategies that have been effective in prior studies. RESULTS/ANTICIPATED RESULTS: The majority of CGs used websites (86%), mobile devices (68%) or apps (53%) to manage their own health. CGs using health-related apps were tracking their exercise (60%), diet (60%), medical records (50%), and physical health measures (50%). More than 4 out of 5 (82%) predicted they would use mobile apps to self-manage their chronic condition, though only 68% actually planned to use them. 86% of CGs were using mobile apps for non-health related purposes, with the most popular app being weather (90%), followed by social media (74%), music/entertainment (68%), and banking/business apps (63%). CGs used weather and social media apps most often (2 or more times/day) and spent 9 hours/week on apps. DISCUSSION/SIGNIFICANCE OF IMPACT: Websites and mobile apps appear to be feasible modes to deliver health interventions to CGs. Researchers should consider including features of apps most frequently used by CGs, such as the weather, ways to connect with others, and music/entertainment, when delivering mHealth interventions to CGs.
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Jorgensen, Alexis, Nastassia M. Savage, Xinxin Sun, and Gregory Domson. "Duty Hours Tracking – Is There an App for That?" Journal of Medical Education and Curricular Development 9 (January 2022): 238212052210963. http://dx.doi.org/10.1177/23821205221096350.
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BACKGROUND To monitor duty hour compliance residency programs have used self-report methods which can be skewed by recall bias and data falsification. The purpose of this study was to compare the accuracy of and resident attitudes towards two duty hours tracking tools within our Orthopedic residency. We compared our institution's current self-report method of duty hours tracking via New Innovations (NI) with an automated method utilizing Hours Tracker (HT), a smartphone application which automatically logs work hours via GPS coordinates. The primary outcome measures were number of duty hour violations and survey results on resident perceptions. METHODS The participants were 22 residents of our 25 resident Orthopedic program. Over four weeks, residents tracked duty hours through the standard, selfreport method (NI) and simultaneously through the automated app (HT). Residents also completed an anonymous survey at the end of the study related to perceptions of the methods. RESULTS There was no significant difference in overall number of violations between NI and HT. HT detected more violations of the 8 hours off requirement (12 vs. 5, p = 0.03). Survey data revealed residents found HT significantly easier to use (p = .004) and less burdensome (p < .001) but in greater violation of privacy (p = .001). Residents reported they were more likely to falsify their hours when using NI (p = .002) and that the results of NI would be more likely used against them (p = .042). When analyzing by training year, junior residents indicated HT was overall easier to use than senior residents (p = .048). CONCLUSIONS Our study showed NI and HT are at least equivalent in accuracy with the app being overall better received, particularly by junior level residents. Until we begin accurately tracking duty hours and engaging residents with an easy to use, well-received interface to which report hours, effective developmental program changes will be difficult to achieve. An app-based approach is a starting point for re-thinking duty hours tracking within this digital age.
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Shewchuk, Brittany, Lee A. Green, Tanya Barber, Jean Miller, Sylvia Teare, Denise Campbell-Scherer, Kelly J. Mrklas, et al. "Patients’ Use of Mobile Health for Self-management of Knee Osteoarthritis: Results of a 6-Week Pilot Study." JMIR Formative Research 5, no. 11 (November 25, 2021): e30495. http://dx.doi.org/10.2196/30495.
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Background In a previous study, a prototype mobile health (mHealth) app was co-designed with patients, family physicians, and researchers to enhance self-management and optimize conservative management for patients with mild to moderate knee osteoarthritis (OA). Objective This study aims to evaluate the overall usability, quality, and effectiveness of the mHealth app prototype for aiding knee OA self-management from the perspectives of patients with OA and health care providers (HCPs). Methods Using methods triangulation of qualitative and quantitative data, we conducted a pilot evaluation of an mHealth app prototype that was codeveloped with patients and HCPs. We recruited adult patients aged ≥20 years with early knee OA (n=18) who experienced knee pain on most days of the month at any time in the past and HCPs (n=7) to participate. In the qualitative assessment, patient and HCP perspectives were elicited on the likeability and usefulness of app features and functionalities and the perceived impact of the app on patient-HCP communication. The quantitative assessment involved evaluating the app using usability, quality, and effectiveness metrics. Patient baseline assessments included a semistructured interview and survey to gather demographics and assess the quality of life (European Quality-of-Life 5-Dimension 5-Level Questionnaire [EQ-5D-5L]) and patient activation (patient activation measure [PAM]). Following the 6-week usability trial period, a follow-up survey assessed patients’ perceptions of app usability and quality and longitudinal changes in quality of life and patient activation. Semistructured interviews and surveys were also conducted with HCPs (n=7) at baseline to evaluate the usability and quality of the app prototype. Results Interviews with patients and HCPs revealed overall positive impressions of the app prototype features and functionalities related to likeability and usefulness. Between the baseline and follow-up patient assessments, the mean EQ-5D-5L scores improved from 0.77 to 0.67 (P=.04), and PAM scores increased from 80.4 to 87.9 (P=.01). Following the 6-week evaluation, patients reported a mean System Usability Scale (SUS) score of 57.8, indicating marginal acceptability according to SUS cutoffs. The mean number of goals set during the usability period was 2.47 (SD 3.08), and the mean number of activities completed for knee OA self-management during the study period was 22.2 (SD 17.8). Spearman rank correlation (rs) calculations revealed that the follow-up PAM scores were weakly correlated (rs=−0.32) with the number of goals achieved and the number (rs=0.19) of activities performed during the 6-week usability period. HCPs reported a mean SUS score of 39.1, indicating unacceptable usability. Conclusions This evidence-based and patient-centered app prototype represents a potential use of mHealth for improving outcomes and enhancing conservative care by promoting patient activation and patient-HCP communication regarding OA management. However, future iterations of the app prototype are required to address the limitations related to usability and quality.
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Panchal, Marcus, Sukhpreet Singh, and Esther Rodriguez-Villegas. "Analysis of the factors affecting the adoption and compliance of the NHS COVID-19 mobile application: a national cross-sectional survey in England." BMJ Open 11, no. 8 (August 2021): e053395. http://dx.doi.org/10.1136/bmjopen-2021-053395.
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ObjectivesTo conduct an independent study investigating how adults perceive the usability and functionality of the ‘National Health Service (NHS) COVID-19’ application (app). This study aims to highlight strengths and provide recommendations to improve adoption of future contact tracing developments.DesignA 60-item, anonymous online questionnaire, disseminated through social media outlets and email lists by a team from Imperial College London.SettingEngland.ParticipantsConvenience sample of 1036 responses, from participants aged 18 years and above, between December 2020 and January 2021.Primary outcome measuresEvaluate the compliance and public attitude towards the ‘NHS COVID-19’ app regarding its functionality and features. This included whether participants’ expectations were met, and their thoughts on the app privacy and security. Furthermore, to distinguish how usability, perception, and adoption differed with varying demographics and user values.ResultsFair compliance with the app features was identified, meeting expectations of the 62.1% of participants who stated they downloaded it after weighted analysis. However, participants finding the interface challenging were less likely to read information in the app and had a lesser understanding of its functionality. Furthermore, little understanding regarding the app’s functionality and privacy concerns was a possible reason why users did not download it. A readability analysis of the text revealed information within the app was conveyed at a level that may be too complex for up to 43% of the UK population. The study highlighted issues related to the potential of false positives caused by the design choices in the ‘Check-In’ feature.ConclusionThis study showed that while the ‘NHS COVID-19’ app was viewed positively, there remained issues regarding participants’ perceived knowledge of app functionality, potentially affecting compliance. Therefore, we recommended improvements regarding the delivery and presentation of the app’s information, and highlighted the potential need for the ability to check out of venues to reduce the number of false positive contacts.
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Perry, Rachel, Roshan M. Burns, Rebecca Simon, and Julie Youm. "Mobile Application Use Among Obstetrics and Gynecology Residents." Journal of Graduate Medical Education 9, no. 5 (October 1, 2017): 611–15. http://dx.doi.org/10.4300/jgme-d-17-00163.1.
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ABSTRACT Background Mobile applications (apps) are increasingly used in clinical settings, particularly among resident physicians. Apps available to patients and physicians are rapidly expanding. Objective We aimed to describe obstetrics and gynecology (ob-gyn) residents' use of and attitudes toward ob-gyn–related mobile apps. Methods We conducted a cross-sectional survey of residents at all 19 California ob-gyn programs using a web-based questionnaire. Responses were analyzed using descriptive and chi-square statistics. Results Of 386 residents contacted, 197 (51%) completed the survey. All respondents owned mobile devices (100% smartphone, 74% tablet), and 93% used apps in the clinical setting. Commonly used ob-gyn–related apps were pregnancy wheels (84%), cervical cancer screening algorithms (68%), and contraceptive eligibility guidelines (47%). Only 53% of respondents recommended apps to patients, with many reporting not being aware of appropriate apps. Sixty-two percent of respondents used apps for learning, but only 3 ob-gyn–specific apps were mentioned. Most chose apps based on recommendations from other residents. Residents viewed mobile technology as an important clinical tool (92%) that improves efficiency (89%). App use did not differ by gender, age, or postgraduate year. Conclusions Mobile technology and ob-gyn–related app use are widely used among California ob-gyn residents, who feel that apps enhance their ability to care for patients. Context of app use varies, with most residents using apps during clinical care, but only half recommending apps to patients. Recommendations from other residents are the common resource for discovering new apps, suggesting a need for more formal guidance on finding and evaluating apps.