Academic literature on the topic 'HEALTH-TRACKING APPS'
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Journal articles on the topic "HEALTH-TRACKING APPS"
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Arora, Chirag, and Maryam Razavian. "Ethics of Gamification in Health and Fitness-Tracking." International Journal of Environmental Research and Public Health 18, no. 21 (October 21, 2021): 11052. http://dx.doi.org/10.3390/ijerph182111052.
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The use of game-like elements is become increasingly popular in the context of fitness and health apps. While such “gamified” apps hold great potential in motivating people to improve their health, they also come with a “darker side”. Recent work suggests that these gamified health apps raise a number of ethical challenges that, if left unaddressed, are not only morally problematic but also have adverse effects on user health and engagement with the apps. However, studies highlighting the ethical challenges of gamification have also met with criticism, indicating that they fall short of providing guidance to practitioners. In avoiding this mistake, this paper seeks to advance the goal of facilitating a practice-relevant guide for designers of gamified health apps to address ethical issues raised by use of such apps. More specifically, the paper seeks to achieve two major aims: (a) to propose a revised practice-relevant theoretical framework that outlines the responsibilities of the designers of gamified health apps, and (b) to provide a landscape of the various ethical issues related to gamified health apps based on a systematic literature review of the empirical literature investigating adverse effects of such apps.
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Tassone, Cristina, Karim Keshavjee, Alessia Paglialonga, Nimia Moreira, Jennifer Pinto, and Yuri Quintana. "Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes." Health Informatics Journal 26, no. 3 (January 8, 2020): 1983–94. http://dx.doi.org/10.1177/1460458219896639.
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This study evaluates mobile apps using a theory-based evaluation framework to discover their applicability for patients at risk of gestational diabetes. This study assessed how well the existing mobile apps on the market meet the information and tracking needs of patients with gestational diabetes and evaluated the feasibility of how to integrate these apps into patient care. A search was conducted in the Apple iTunes and Google Play store for mobile apps that contained keywords related to the following concepts of nutrition: diet, tracking, diabetes, and pregnancy. Evaluation criteria were developed to assess the mobile apps on five dimensions. Overall, the apps scored well on education and information functions and scored poorly on engagement functions. There are few apps that provide comprehensive evidence-based educational content, tracking tools, and integration with electronic health records. This study demonstrates the need to develop apps that have comprehensive content, tracking tools, and ability to bidirectionally share data.
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Karasneh, Reema A., Sayer I. Al-Azzam, Karem H. Alzoubi, Suhaib M. Muflih, and Sahar S. Hawamdeh. "Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users." Obstetrics and Gynecology International 2020 (September 1, 2020): 1–9. http://dx.doi.org/10.1155/2020/2192387.
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Background. The use of mobile apps for health and well-being has grown exponentially in the last decade, as such apps were reported to be ideal platforms for behavioral change and symptoms monitoring and management. Objective. This study aimed to systematically review period tracking applications available at Google Play and Apple App Stores and determine the presence, features, and quality of these smartphone apps. In addition, behavioral changes associated with the top 5 rated apps were assessed. Methods. This study used the Systematic Search Criteria through Google Play Store and iTunes Apple Store, using terms related to period tracking. Apps were scanned for matching the inclusion criteria and the included apps were assessed by two reviewers using the Mobile Application Rating Scale (MARS), a tool that was developed for classifying and assessing the quality of mHealth apps. Results. Forty-nine apps met the inclusion criteria. Most of the apps enabled setting user goals, motivations, and interactivity, tracking multiple symptoms or mood changes, allowed notifications, and used graphs to illustrate the tracking result over a specific period of time. The majority of features and functions within these apps were offered for free, while some apps included limited in-app purchases or needed Internet connection to function. Certain apps were reported by participants to promote behavioral change and increase knowledge and awareness regarding monthly periods. Conclusions. Period tracking apps were easy to use and navigate and can hence be readily adopted into routine tracking and management of periods. However, most apps were not based on significant evidence and may need further development to support period-related symptom management.
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Kim, Yeongju, Jihye Choi, Young-A. Ji, and Hyekyung Woo. "Insights from Review and Content Analysis of Current COVID-19 Mobile Apps and Recommendations for Future Pandemics." International Journal of Environmental Research and Public Health 19, no. 22 (November 8, 2022): 14652. http://dx.doi.org/10.3390/ijerph192214652.
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A number of mobile health apps related to coronavirus infectious disease 2019 (COVID-19) have been developed, but research into app content analytics for effective surveillance and management is still in its preliminary stages. The present study aimed to identify the purpose and functions of the currently available COVID-19 apps using content analysis. The secondary aim was to propose directions for the future development of apps that aid infectious disease surveillance and control with a focus on enhancing the app content and quality. Prior to conducting an app search in the App Store and the Google Play Store, we reviewed previous studies on COVID-19 apps found in Google Scholar and PubMed to examine the main purposes of the apps. Using the five selected keywords based on the review, we searched the two app stores to retrieve eligible COVID-19 apps including those already addressed in the reviewed literature. We conducted descriptive and content analyses of the selected apps. We classified the purpose types of the COVID-19 apps into the following five categories: information provision, tracking, monitoring, mental health management, and engagement. We identified 890 apps from the review articles and the app stores: 47 apps met the selection criteria and were included in the content analysis. Among the selected apps, iOS apps outnumbered Android apps, 27 apps were government-developed, and most of the apps were created in the United States. The most common function for the iOS apps (63.6%) and Android apps (62.5%) was to provide COVID-19-related knowledge. The most common function among the tracking apps was to notify users of contact with infected people by the iOS apps (40.9%) and Android apps (37.5%). About 29.5% of the iOS apps and 25.0% of the Android apps were used to record symptoms and self-diagnose. Significantly fewer apps targeted mental health management and engagement. Six iOS apps (6/44, 13.6%) and four Android apps (4/24, 16.7%) provided behavioral guidelines about the pandemic. Two iOS apps (2/44, 4.5%) and two Android apps (2/24, 8.3%) featured communication functions. The present content analysis revealed that most of the apps provided unilateral information and contact tracing or location tracking. Several apps malfunctioned. Future research and development of COVID-19 apps or apps for other emerging infectious diseases should address the quality and functional improvements, which should begin with continuous monitoring and actions to mitigate any technical errors.
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Womack, Jasmyne J., LaKesha N. Anderson, and Christy J. W. Ledford. "Presence of Complex and Potentially Conflicting Information in Prenatal Mobile Apps." Health Promotion Practice 21, no. 2 (August 27, 2018): 238–45. http://dx.doi.org/10.1177/1524839918796216.
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Pregnant women are increasingly using mobile apps as a source of supplemental information. These pregnancy-related mobile apps present women with contradictory risk recommendations without the medical research to support their claims. The content analysis describes a sample of the pregnancy-tracking mobile application environment open to pregnant mothers and uses the social amplification of risk framework. Within this framework, written recommendations and the presence or absence of corresponding citations on controversial topics in pregnancy were recorded and risk was coded as received contradictory information. Of the 48 pregnancy-tracking mobile apps downloaded, 11 (22.9%) were associated with either a seller or a developer with a medical background. Only 24 of 48 (50.0%) of the apps cited a source, such as a health professional agency or peer-reviewed research journal for health recommendations. In our results, we show a sampling of contradictory risk recommendations made by mobile apps that cite or do not cite their source for that recommendation on 8 controversial topics in pregnancy. Findings suggest providers treating pregnant women must be aware of the complex information environment and help them navigate the risk information they encounter on some of the most popular pregnancy-tracking mobile apps.
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Friedlander, Anna. "Menstrual Tracking, Fitness Tracking and Body Work: Digital Tracking Tools and Their Use in Optimising Health, Beauty, Wellness and the Aesthetic Self." Youth 3, no. 2 (May 18, 2023): 689–701. http://dx.doi.org/10.3390/youth3020045.
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Digital self-tracking tools can be part of body work to measure, monitor, and optimise progress towards idealised versions of the self. Fitness and calorie trackers are obvious examples but menstrual tracking apps, which can track a large range of bodily ‘symptoms’, can also be part of body work. In this article, I present accounts of young people’s menstrual and fitness tracking experiences from existing literature, illustrating how both types of trackers can function as part of their users’ body work. I interweave these stories with an autoethnographic account of my own embodied experiences with and through menstrual and fitness tracking apps. I explore the ways in which health, beauty, and wellness can become enmeshed in self-tracking practices; how emotions, stress, and sleep can become personal problems to solve; how tracking tools can make body work feel more ‘real’; and the mutual but asymmetrical shaping of digital tracking tools and their users. Though there is an existing body of work on young people’s experiences of digital self-tracking tools more generally (particularly health and fitness tracking tools), young people’s use of menstrual tracking apps is a relatively understudied phenomenon to date. The themes identified in this article point towards possible avenues for future research.
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Zečević, Mila, Dejan Mijatović, Mateja Kos Koklič, Vesna Žabkar, and Petar Gidaković. "User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling." Journal of Medical Internet Research 23, no. 4 (April 22, 2021): e25160. http://dx.doi.org/10.2196/25160.
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Background The availability and use of mobile apps in health and nutrition management are increasing. Ease of access and user friendliness make diet-tracking apps an important ally in their users’ efforts to lose and manage weight. To foster motivation for long-term use and to achieve goals, it is necessary to better understand users’ opinions and needs for dietary self-monitoring. Objective The aim of this study was to identify the key topics and issues that users highlight in their reviews of diet-tracking apps on Google Play Store. Identifying the topics that users frequently mention in their reviews of these apps, along with the user ratings for each of these apps, allowed us to identify areas where further improvement of the apps could facilitate app use, and support users’ weight loss and intake management efforts. Methods We collected 72,084 user reviews from Google Play Store for 15 diet-tracking apps that allow users to track and count calories. After a series of text processing operations, two text-mining techniques (topic modeling and topical n-grams) were applied to the corpus of user reviews of diet-tracking apps. Results Using the topic modeling technique, 11 separate topics were extracted from the pool of user reviews. Most of the users providing feedback were generally satisfied with the apps they use (average rating of 4.4 out of 5 for the 15 apps). Most topics referred to the positive evaluation of the apps and their functions. Negatively rated topics mostly referred to app charges and technical difficulties encountered. We identified the positive and negative topic trigrams (3-word combinations) among the most frequently mentioned topics. Usability and functionality (tracking options) of apps were rated positively on average. Negative ratings were associated with trigrams related to adding new foods, technical issues, and app charges. Conclusions Motivating users to use an app over time could help them better achieve their nutrition goals. Although user reviews generally showed positive opinions and ratings of the apps, developers should pay more attention to users’ technical problems and inform users about expected payments, along with their refund and cancellation policies, to increase user loyalty.
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Peng, Sisi, Yuyin Yang, and Martie G. Haselton. "Menstrual Symptoms: Insights from Mobile Menstrual Tracking Applications for English and Chinese Teenagers." Adolescents 3, no. 3 (June 28, 2023): 394–403. http://dx.doi.org/10.3390/adolescents3030027.
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Mobile software applications (apps) have transformed how individuals oversee and maintain their own health. One way that girls can monitor their menstrual cycles is through the increasingly widespread use of mobile menstrual tracking apps. This study aimed to examine menstrual symptom tracking for adolescents in English and Chinese apps, exploring menstrual literacy, cross-cultural differences, and framing, or presentation, of symptoms. The mixed-methods content analysis involved 15 popular free menstrual tracking apps in English (n = 8) and Chinese (n = 7), sampled from December 2022 to January 2023. A quantitative analysis of qualitative data was conducted through manual coding of content and automatically analyzing sentiment, or emotional tone, using a computational approach. We found that (1) menstrual literacy on symptom management or treatment was generally insufficient, (2) there were more available emotional than physical symptoms in English than Chinese apps, and (3) symptoms were framed more negatively than positively somewhat more in Chinese than English apps. Our findings emphasize the urgency to provide better evidence-informed communication about symptoms, either presented more positively or neutrally, in menstrual tracking apps for adolescent users. Since adolescence is a critical developmental stage that requires ample support, we recommend that digital menstrual trackers be crucially improved and future research should investigate how they can uniquely shape attitudes and experiences, and subsequent sexual and reproductive health empowerment and bodily autonomy.
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Trace, Ciaran B., Katherine Cruz, Daiki Yonemaru, and Yan Zhang. "Data ecosystem in self‐tracking health and wellness apps." Proceedings of the Association for Information Science and Technology 54, no. 1 (January 2017): 816–18. http://dx.doi.org/10.1002/pra2.2017.14505401169.
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Zhang, Lixuan, and Clinton Amos. "Acceptance of COVID-19 Tracking Apps." Journal of Customer Behaviour 20, no. 4 (December 31, 2021): 301–21. http://dx.doi.org/10.1362/147539221x16356770010758.
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To combat COVID-19, many governments have turned to tracking apps to detect exposure risk or enforce self-quarantine rules. Understanding factors that lead to public acceptance of these apps is essential since the adoption of these apps may help to suppress the pandemic. Based on a survey of 296 American respondents in May 2020, the study investigates the psychological processes that lead to COVID-19 tracking app acceptance. The results show that institutional trust affects acceptance through perceived effectiveness of the apps. In addition, perceived threat moderates the relationship between perceived app effectiveness and acceptance. When the perceived threat level is high, the relationship between perceived app effectiveness and acceptance is stronger. The results of the study provide a fruitful ground for future work that intends to examine the decisionmaking process that may affect health surveillance tracking app acceptance.
Dissertations / Theses on the topic "HEALTH-TRACKING APPS"
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Chen, Yi-wen, and 陳怡妏. "A usability study of baby health tracking mobile apps." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/a6r7dz.
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碩士國立臺灣大學
圖書資訊學研究所
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For most novice parents, how to care for a baby is a challenge. Affected by the popularity of the Internet, the Mobile Application (APP) has already penetrated into the daily life of users and affected the lives of users. In the past, there has not been discussion about the usability study of baby health tracking mobile apps. Therefore, this study aims to explore the usability of baby health tracking mobile apps. This study adopted quantitative and qualitative method, which evaluated the usability of “Baby life record’’ and “Babylog’’ two free apps by using USE Questionnaire: Usefulness, Satisfaction, and Ease of use、Microsoft Reaction Card and interviewed the participants about their perceptions of “Baby life record’’ and “Babylog’’ two free apps. Participants were 20 women of child-bearing age who are has a 0 to 3 aged baby and mainly caring for. The participant firstly operated ten pre-designed tasks on the two baby health tracking mobile apps；then they filled out the USE Questionnaire: Usefulness, Satisfaction, and Ease of use, picked up five Microsoft Reaction Cards, later, the researcher interviewed the usability of the two baby health tracking mobile apps, as well as the functions to be added or modified. The process took approximately one hour. Results showed that, The participants are positive for the usability of the two baby health tracking mobile apps. The researcher concluded that the developer of “Baby life record’’ and “Babylog’’ two free apps should offer operating manual for the user who operating it first time more quickly. And the developer should provide the functions more user-friendly and personalized, it will be meet the needs of users. Lastly, the developer should often maintenance and updates the “Baby life record’’ and “Babylog’’ two free apps, it will to meet the functional needs of users to care for a baby.
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SRIVASTAVA, AAKRITI. "BENEFITS OF HEALTH-TRACKING APPS: EVIDENCE FROM LONGITUDINAL RANDOMIZED TRIAL." Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16654.
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Usage of Health-tracking apps to track wellness metrics of day to day life is on the rise but there is a lack of scientific evidence on its benefits for the users.
The objective of this study is to analyze the benefits of using Health-tracking apps on first time users over a trial period of 15 days. It is a randomized longitudinal study conducted from T1: 16th April 2019 to T2: 30th April 2019.
Current application markets are flooded with numerous apps like Runtastic, HealthifyMe, Health Tracker, etc. One such app is Google Fit that was primarily used in this study. It is a simple app by Google which measures metrics like Steps, Calories and Distance travelled using GPS and AI technology. It uses these metrics to give Move per Minute and Heart Points to its users.
In the present study, participants were asked to fill a pre-trial questionnaire which measured their Health Consciousness, Overall Psychological Well-Being and Perceived Physical Health before the start of the experiment. Standard questionnaire items of Health Consciousness by Dutta-Bergman and PERMA-Profiler by Butler & Kern were used for this initial stage.
The respondents of the pre-questionnaire (T1) were asked to download Google Fit app on their mobile devices. They were also given the liberty to choose any other app of their choice as long as it measured the basic metrics of Steps, Calories and Distance.
The respondents were asked to track their health using this app and were informed that they were now the part of the experimental trial. Respondents could also voluntarily record the daily data of the same in an excel sheet to help with the second objective of the study to see trend in the usage of the app.
After 15 days, the post-trial questionnaire (T2) was floated to the respondents with the same items as first questionnaire along with a section of their tracking experience.
This data was then analyzed by studying the descriptive means of the parameters and difference in the means was calculated to determine percentage increase in health-related behavior of the users.
It was found that there was significant increase in means of parameters defining well-being and usage of health-tracking apps had a positive effect on a user’s health parameters. It was also found that the motivation to use the app declined overtime and it needed stimulation to keep the user engaged.
Books on the topic "HEALTH-TRACKING APPS"
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Darcy, Alison, and Shiri Sadeh-Sharvit. Mobile Device Applications for the Assessment and Treatment of Eating Disorders. Edited by W. Stewart Agras and Athena Robinson. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190620998.013.27.
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Mobile devices and applications (apps) are increasingly used in clinical practice, offering reconceptualization of and novel avenues to tracking symptoms and delivery of more personalized interventions. This chapter reviews the burgeoning approaches to the integration of mobile in screening and treating individuals with eating disorders. Promising methods of data collection such as ecological momentary assessments enhance the capabilities of detecting symptoms and recognizing patterns—both are fundamental to the screening, evaluation, and monitoring of eating disorders and lay the foundations for better treatment design. More recent advances in machine learning allow ecological momentary interventions to be delivered and continuously optimized at the individual level in real time. This chapter explores what this means for the future of personalized treatment for eating disorders, referring to apps that integrate these mechanisms. Finally, the chapter provides a framework for evaluating mobile device mental health apps in clinical care.
Book chapters on the topic "HEALTH-TRACKING APPS"
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Gaybor, Jacqueline. "Of Apps and the Menstrual Cycle: A Journey into Self-Tracking." In Gender, Development and Social Change, 65–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82654-3_4.
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AbstractIn this chapter, I describe my journey of becoming a user of menstrual tracking apps. I explore how my positionality and the different encounters I have had prior to and during this journey have shaped my understanding and experience of using the app. I am reflexive about how my standpoint constituted my meaning-making processes. I emphasize that through the journey of self-tracking, knowledge was developed in conversation with other users of these apps. I reflect on the tensions I face with regards to giving away personal data to the health app about my body while questioning the advertised possibilities to build body awareness and knowledge through digital traces. My chapter concludes by assessing my methodological choices, stressing the possibilities and limitations of a reflective writing.
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Depper, Annaleise, and P. David Howe. "Are we fit yet? English adolescent girls’ experiences of health and fitness apps." In Self-Tracking, Health and Medicine, 98–112. Routledge, 2017. http://dx.doi.org/10.4324/9781315108285-8.
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Hardy, Anne. "Tracking via Volunteered Geographic Information." In Tracking Tourists. Goodfellow Publishers, 2020. http://dx.doi.org/10.23912/9781911635383-4574.
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Over the past 20 years, the use of location-based tracking has become increasingly popular. The introduction of GPS technology into devices such as phones and watches, and its incorporation into tracking apps, has led to widespread use of apps which track activities, particularly those of a sporting nature. There are now over 318,000 health and fitness apps – called mHealth apps (Byambasuren et al., 2018) – and it is estimated that 75% of runners now use them (Janssen et al., 2017). Many of these apps contain the ability for users to track their movement and share it with fellow app users – Strava alone has 42 million accounts with 1 million users each month (Haden, 2019), but others include MapMyFitness, Adidas Running, and Google Fit. Importantly for this book, the data that is produced from mHealth apps is continuous point geo-referenced data that is visualised for the user as a defined route undertaken during a particular activity. This route, and the temporal and spatial aspects of the activity, can be viewed by the user and then released online for their online network to view. Most commonly, it is referred to as volunteered geographic information (VGI). The data that is generated from mHealth apps can be sourced by researchers; this is often referred to as crowd sourcing. Researchers can gather large amounts of data of entire paths taken by individual users, either via gaining consent from individual users to share their routes, or via APIs provided by the app developer which provide access to large amounts of routes and their associated statistics. VGI provides researchers with great potential to facilitate research that assesses tourists’ movement through space and time (Heikinheimo et al., 2017). However, as is the case with single point geo-referenced data (discussed in the previous chapter), research in this space is disparate and tends to focus on one platform at a time, or one context at a time. The rapid increase in VGI is arguably due to three factors: developments in wearable technology; developments in location based technology that has been integrated into smart phone and watch apps; and an increase in usage of urban spaces for walking, running and biking. The latter is largely due to an increased interest in healthy lifestyles and exercise (Santos et al., 2016; Brown et al., 2014) and presents issues for park managers, including those related to environmental impacts due to overuse and conflicts between different types of users, such as walkers and bike riders (Santos et al., 2016; Norman and Pickering, 2017; Pickering et al., 2011; Rossi et al., 2013). This chapter will explore how VGI data can assist researchers and managers in understanding these issues, along with tourists’ mobility.
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Goodings, Lewis. "Mental health apps, self-tracking and the visual." In A Handbook of Visual Methods in Psychology, 135–47. Routledge, 2020. http://dx.doi.org/10.4324/9781351032063-118.
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Keshavjee, Karim, Dustin Johnston-Jewell, Brian Lee, and Robert Kyba. "Designing Disease-Specific mHealth Apps for Clinical Value." In Smart and Pervasive Healthcare. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99945.
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mHealth apps for patient use are promising but continue to face a plateau in usage. Current apps work for a limited segment of the patient population, i.e., those who enjoy tracking for intrinsic rewards. There are many opportunities to support patient care in between health care provider visits that are not currently being met for many diseases and patient types (personas). This is an area of great potential growth for mHealth apps and could contribute greatly to patient health and wellness. In this chapter, we propose a framework for how to think about the between-visit needs of patients that would motivate continued use of mhealth apps. We view the app design process from the following perspectives: 1) disease-specific needs, 2) non-disease specific needs, 3) behavioral theoretical aspects of app usage and 4) app-intrinsic usage motivators. Myasthenia gravis serves as the use case for illustrating these perspectives and how to use them in designing a disease-specific mHealth app.
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Kauer, Sylvia, and Sophie Reid. "Mobile Tracking for Mental Health and Wellbeing." In Encyclopedia of Mobile Phone Behavior, 860–70. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8239-9.ch071.
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Mobile tracking is the latest burgeoning area in the field of technology in mental health care with mobile apps, SMS protocols, and new devices used to track mood and behavior in order to improve mental health and wellbeing. To date, there has been little research investigating the effects of mobile tracking on mental health although this research is promising. The concept of tracking, or self-monitoring, has grown over the last 40 years stemming from behavioural homework between therapeutic sessions, the expressive writing paradigm and momentary sampling. Exploring the theory and evidence surrounding these paradigms provides insight into the mechanisms of mobile tracking. Further research using rigorous methodologies and investigating mechanisms of mobile tracking is warranted.
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Cheng, Glen, Nischal Chennuru, and Liz Kwo. "Evaluating the Clinical and Cost Effectiveness of Musculoskeletal Digital Health Solutions." In Environmental Health [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94841.
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This chapter will introduce the clinician to the quickly expanding field of musculoskeletal-focused digital apps (MDA), with an eye towards helping the clinician select and recommend MDAs for optimal patient care. MDAs are increasingly being used for physical therapy and rehabilitation, telehealth, pain management, behavioral health, and remote patient monitoring. The COVID-19 pandemic has vastly accelerated the adoption of telehealth and digital health apps by patients and clinicians, and the digital health field will only continue to expand as developers increasingly harness artificial intelligence (AI) and machine learning (ML) capabilities, coupled with precision medicine capabilities that integrate personal health data tracking and genomics insights. Here we begin with an overview of several types of MDA, before discussing the epidemiology of musculoskeletal conditions and injuries, clinical considerations in selecting a digital health solution, payor reimbursement for digital apps, and regulatory oversight of digital health apps.
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Saeidnia, Hamid Reza, Ali Ghorbi, Marcin Kozak, and Claudiu Herteliu. "Smartphone-Based Healthcare Apps for Older Adults in the COVID-19 Era: Heuristic Evaluation." In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti210875.
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Many national governments have attempted to prevent and combat COVID-19 using mobile health (mHealth) technologies during the epidemic. During this time, governments began developing smartphone-based apps for prevention, call tracking, and monitoring people with COVID-19. An important question is, does everyone benefit from these technologies equally and fairly? To answer this question, we evaluated the user interface of smartphone-based apps developed during the COVID-19 era by considering their design for older adults, in order to determine whether social justice has been considered in the development of these apps.
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Meier, Lea, Caroline Gurtner, Stephan Nuessli, Marko Miletic, Thomas Bürkle, and Michael Durrer. "SERO – A New Mobile App for Suicide Prevention." In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220310.
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Mobile apps indicate a positive effect on suicidal ideation and potential impact on suicide attempts. As part of the SERO suicide prevention program, Lucerne Psychiatry in collaboration with partner organizations aims to reduce suicides and suicide attempts in its service area, and to improve the self-management of suicidal individuals with a mobile app. The concept for such an app was developed in a trialog with health professionals, persons at risk and their relatives and its functions were compared to six known essential app-based strategies for suicide prevention, such as the development of a safety plan, access to support networks and tracking of mood. We present the concept and architecture for the app and discuss potential added value, which may result from the intertwining of the strategies within the app, which will be available in its first version in late 2022.
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Hussein, Rada, Adrienne Pichon, Jan Oldenburg, Mahdi Sareban, and Josef Niebauer. "Can Patient Contributed Data (PCD) Leverage Connected Health Technology for Cardiac Rehabilitation in Austria?" In Caring is Sharing – Exploiting the Value in Data for Health and Innovation. IOS Press, 2023. http://dx.doi.org/10.3233/shti230054.
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New technologies such as devices, apps, smartphones, and sensors not only enable people to self-monitor their health but also share their health data with healthcare professionals. Data collection and dissemination occur across a wide variety of environments and settings, tracking everything from biometric data to mood and behavior, which has been termed Patient Contributed Data (PCD). In this work, we created a patient journey, enabled by PCD, to shape a connected health model for Cardiac Rehabilitation (CR) in Austria. Consequently, we highlighted the potential PCD benefit, which is a postulated increasing uptake of CR and improved patient outcomes through apps in a home-based setting. Finally, we addressed the related challenges and policy barriers that hinder the implementation of CR-connected health in Austria and identified actions to be taken.
Conference papers on the topic "HEALTH-TRACKING APPS"
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Weghorn, Hans. "POTENTIALS EVALUATION FOR INSTANT USABILITY OF SMARTPHONE APPS IN HEALTH AND SPORTS ENDURANCE ACTIVITY TRACKING." In International Conference on e-Health 2019. IADIS Press, 2019. http://dx.doi.org/10.33965/eh2019_201910l022.
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Massollar, Jobson, and Ana Cristina Bicharra Garcia. "FenceBot: An Elderly Tracking App for Mitigating Health Risk Contacts." In 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2021. http://dx.doi.org/10.1109/cscwd49262.2021.9437612.
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Asif, Hafiz, and Jaideep Vaidya. "A Study of Users' Privacy Preferences for Data Sharing on Symptoms-Tracking/Health App." In CCS '22: 2022 ACM SIGSAC Conference on Computer and Communications Security. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3559613.3563202.
Full textReports on the topic "HEALTH-TRACKING APPS"
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Agarwal, Smisha, Madhu Jalan, Holly C. Wilcox, Ritu Sharma, Rachel Hill, Emily Pantalone, Johannes Thrul, Jacob C. Rainey, and Karen A. Robinson. Evaluation of Mental Health Mobile Applications. Agency for Healthcare Research and Quality (AHRQ), May 2022. http://dx.doi.org/10.23970/ahrqepctb41.
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Background. Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. Purpose. This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and are intended for use by providers and patients/caregivers. Methods. We reviewed systematic reviews of mental health apps and reviewed published and gray literature on mental health app frameworks, and we conducted four Key Informant group discussions to identify gaps in existing mental health frameworks and key framework criteria. These reviews and discussions informed the development of a draft framework to assess mental health apps. Iterative testing and refinement of the framework was done in seven successive rounds through double application of the framework to a total of 45 apps. Items in the framework with an interrater reliability under 90 percent were discussed among the evaluation team for revisions of the framework or guidance. Findings. Our review of the existing frameworks identified gaps in the assessment of risks that users may face from apps, such as privacy and security disclosures and regulatory safeguards to protect the users. Key Informant discussions identified priority criteria to include in the framework, including safety and efficacy of mental health apps. We developed the Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness and it comprises three sections: Section 1. Risks and Mitigation Strategies, assesses the integrity and risk profile of the app; Section 2. Function, focuses on descriptive aspects related to accessibility, costs, organizational credibility, evidence and clinical foundation, privacy/security, usability, functions for remote monitoring of the user, access to crisis services, and artificial intelligence (AI); and Section 3. Mental Health App Features, focuses on specific mental health app features, such as journaling and mood tracking. Conclusion. FASTER may be used to help appraise and select mental health mobile apps. Future application, testing, and refinements may be required to determine the framework’s suitability and reliability across multiple mental health conditions, as well as to account for the rapidly expanding applications of AI, gamification, and other new technology approaches.
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Goyeneche, Laura, Cynthia Boruchowicz, Florencia Lopez Boo, Luis Tejerina, Benjamin Roseth, and Jennifer Nelson. Pandemics, privacy, and adoption of technology: Perceptions of the use of digital tools and data sharing during COVID-19 from 10 Latin American countries. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004546.
Full textAbstract:
This study describes the perception, adoption, and acceptance factors involved in the deployment of digital technologies for public health in Latin America and considers the implications for future digital health interventions. We conducted a descriptive analysis using nationally representative data from a phone survey conducted in 2020 in 10 countries in Latin America. We found that early in the pandemic, in countries with existing applications, 74% of the population used a smartphone, 47% had knowledge of the government app to report symptoms, but only 2% reported using it. Those interviewed reported that they are willing to share their personal data during a pandemic (61%) 50 percentage points higher than in non-pandemic times, although understanding how their personal data was used by the government and private companies was extremely low. More than 70% reported that they would use an application to report symptoms and would use an app that accesses their location or that uses contact tracing technology to alert them about possible exposure. Also, at least half of the users agree with preventive measures against COVID-19 such as daily follow-up calls, tracking via GPS for quarantine enforcement, and daily visits. In all countries, adoption of digital technologies increases if individuals or their relatives report they are infected; it decreases when end-users do not trust the anonymity policies or are concerned about government surveillance. Yet, encouraging greater adoption of digital technologies strongly depends on who designed the technology. Results show that 73% of users would prefer an app designed by an international organization such as the WHO to an app designed by the local government (64%) or a telephone company (56%). The study concludes with a reflection on the promising results of digital technologies and discusses the importance of considering users perceptions, factors for acceptance, and trust when pursuing adoption of digital technologies.