Journal articles on the topic 'Mental Health Apps'
To see the other types of publications on this topic, follow the link: Mental Health Apps.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Mental Health Apps.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
East, Marlene Lynette, and Byron C. Havard. "Mental Health Mobile Apps: From Infusion to Diffusion in the Mental Health Social System." JMIR Mental Health 2, no. 1 (March 31, 2015): e10. http://dx.doi.org/10.2196/mental.3954.
Full textAbstract:
The roles of mental health educators and professionals in the diffusion of mental health mobile apps are addressed in this viewpoint article. Mental health mobile apps are emerging technologies that fit under the broad heading of mobile health (mHealth). mHealth, encompassed within electronic health (eHealth), reflects the use of mobile devices for the practice of public health. Well-designed mental health mobile apps that present content in interactive, engaging, and stimulating ways can promote cognitive learning, personal growth, and mental health enhancement. As key influencers in the mental health social system, counselor educators and professional associations may either help or hinder diffusion of beneficial mHealth technologies. As mental health mobile apps move towards ubiquity, research will continue to be conducted. The studies published thus far, combined with the potential of mental health mobile apps for learning and personal growth, offer enough evidence to compel mental health professionals to infuse these technologies into education and practice. Counselor educators and professional associations must use their influential leadership roles to train students and practitioners in how to research, evaluate, and integrate mental health mobile apps into practice. The objectives of this article are to (1) increase awareness of mHealth and mental health mobile apps, (2) demonstrate the potential for continued growth in mental health mobile apps based on technology use and acceptance theory, mHealth organizational initiatives, and evidence about how humans learn, (3) discuss evidence-based benefits of mental health mobile apps, (4) examine the current state of mHealth diffusion in the mental health profession, and (5) offer solutions for impelling innovation diffusion by infusing mental health mobile apps into education, training, and clinical settings. This discussion has implications for counselor educators, mental health practitioners, associations, continuing education providers, and app developers.
2
Crookston, Benjamin T., Joshua H. West, P. Cougar Hall, Kaitana Martinez Dahle, Thomas L. Heaton, Robin N. Beck, and Chandni Muralidharan. "Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors." JMIR Mental Health 4, no. 4 (October 17, 2017): e45. http://dx.doi.org/10.2196/mental.7262.
Full textAbstract:
Background Mental and emotional self-help apps have emerged as potential mental illness prevention and treatment tools. The health behavior theory mechanisms by which these apps influence mental health–related behavior change have not been thoroughly examined. Objective The objective of this study was to examine the association between theoretical behavior change mechanisms and use of mental and emotional self-help apps and whether the use of such apps is associated with mental health behaviors. Methods This study utilized a cross-sectional survey of 150 users of mental or emotional health apps in the past 6 months. Survey questions included theory-based items, app engagement and likeability items, and behavior change items. Stata version 14 was used to calculate all statistics. Descriptive statistics were calculated for each of the demographic, theory, engagement, and behavior variables. Multiple regression analysis was used to identify factors associated with reported changes in theory and separately for reported changes in actual behavior after controlling for potentially confounding variables. Results Participants reported that app use increased their motivation, desire to set goals, confidence, control, and intentions to be mentally and emotionally healthy. Engagement (P<.001) was positively associated with the reported changes in theory items, whereas perceived behavior change was positively associated with theory (P<.001), engagement (P=.004), frequency of use of apps (P=.01), and income (P=.049). Conclusions Participants reported that app use increased their motivation, desire to set goals, confidence, control, and intentions to be mentally and emotionally healthy. This increase in perceptions, beliefs, and attitudes surrounding their mental and emotional health was considerably associated with perceived change in behavior. There was a positive association between the level of engagement with the app and the impact on theory items. Future efforts should consider the value of impacting key theoretical constructs when designing mental and emotional health apps. As apps are evaluated and additional theory-based apps are created, cost-effective self-help apps may become common preventative and treatment tools in the mental health field.
3
Rubanovich, Caryn Kseniya, David C. Mohr, and Stephen M. Schueller. "Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding." JMIR Mental Health 4, no. 2 (June 23, 2017): e22. http://dx.doi.org/10.2196/mental.7603.
Full textAbstract:
Background Researchers have largely turned to commercial app stores, randomized trials, and systematic reviews to make sense of the mHealth landscape. Few studies have approached understanding by collecting information from target end users. The end user perspective is critical as end user interest in and use of mHealth technologies will ultimately drive the efficacy of these tools. Objective The purpose of this study was to obtain information from end users of mHealth technologies to better understand the physical and mental health apps people use and for what purposes. Methods People with depressive or anxious symptoms (N=176) seeking entry into a trial of mental health and well-being apps for Android devices completed online questionnaires assessing depression and anxiety (Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7), past and current mental health treatment-seeking behavior, overall mobile device use, and use of mobile health apps. Participants reported the physical health and mental health apps on their devices and their reasons for using them. Data were extracted from the participant self-reports and apps and app purposes were coded in order to categorize them. Results Participants were largely white, middle-aged females from the Midwest region of the United States recruited via a health care organization and Web-based advertising (135 female, 41 male, mean age 38.64 years, age range 19-75 years.) Over three-quarters (137/176, 77.8%) of participants indicated having a health app on their device. The top 3 kinds of apps were exercise, fitness, and pedometers or heart rate monitoring apps (93/176, 52.8%); diet, food, or calorie counting apps (65/177, 36.9%); and mental health/wellness apps (46/177, 26.1%). The mean number of mobile physical and mental health apps on a participant’s phone was 2.15 (SD 3.195). Of 176 participants, 107 (60.8%) specifically reported the top 5 health apps that they used and their purposes. Across the 107 participants, a total of 285 apps were reported, with 139 being unique apps. The majority of these apps were free (129/139, 92.8%). Almost two-thirds of participants (67/107, 62.6%) reported using health apps at least on a daily basis. Conclusions Among those seeking support for their well-being via physical and mental health apps, people are using a variety of health apps. These people use health apps on a daily basis, especially free apps. The most common reason for using a health app is to track some health-related data; for mental health apps specifically, training or habit building was the most popular reason. Understanding the end user perspective is important because it allows us to build on the foundation of previously established mHealth research and may help guide future work in mHealth. Trial Registration Clinicaltrials.gov NCT02176226; https://clinicaltrials.gov/ct2/show/NCT02176226 (Archived by WebCite at http://www.webcitation.org/6rGc1MGyM)
4
Parish, Colin. "Mental Health Library apps." Nursing Standard 29, no. 31 (April 2015): 33. http://dx.doi.org/10.7748/ns.29.31.33.s33.
Full text
5
Parker, Lisa, Lisa Bero, Donna Gillies, Melissa Raven, Barbara Mintzes, Jon Jureidini, and Quinn Grundy. "Mental Health Messages in Prominent Mental Health Apps." Annals of Family Medicine 16, no. 4 (July 2018): 338–42. http://dx.doi.org/10.1370/afm.2260.
Full text
6
Terry, Nicolas P., and Tracy D. Gunter. "Regulating mobile mental health apps." Behavioral Sciences & the Law 36, no. 2 (March 2018): 136–44. http://dx.doi.org/10.1002/bsl.2339.
Full text
7
Murugesu, Jason Arunn. "People quickly abandon mental health apps." New Scientist 244, no. 3256 (November 2019): 14. http://dx.doi.org/10.1016/s0262-4079(19)32144-x.
Full text
8
Hanft-Robert, S., K. Tabi, H. Gill, A. Endres, and R. M. Krausz. "Mental health mobile apps for patients: Psychiatrists’ concerns." European Psychiatry 64, S1 (April 2021): S346. http://dx.doi.org/10.1192/j.eurpsy.2021.928.
Full textAbstract:
IntroductionThe use of mobile apps aimed at supporting patients with a mental illness is rapidly increasing.ObjectivesThe presented results explore psychiatrists’ concerns about mobile apps for patients with a mental illness. These results are part of a larger study that examines psychiatrists’ attitudes regarding the use and development of mobile apps.MethodsIn the qualitative exploratory study, semi-structured interviews were conducted with 18 psychiatrists in Czech Republic, Austria, and Slovakia. Psychiatrists were recruited via snowball sampling. The interviews were digitally recorded, transcribed verbatim, translated into English, and content analyzed using deductive and inductive category development.ResultsThere were mixed feelings regarding mobile apps for patients with mental illness. While psychiatrists emphasized certain benefits (e.g. increasing patients’ treatment motivation and engagement), several concerns were also expressed, especially by psychiatrists who were generally unfamiliar with mobile apps. They feared being replaced; were afraid that patients would act as their own doctors, thereby damaging their health; stressed that mobile apps could not respond or be tailored to an individual the same way psychiatrists could tailor treatment to a patient.ConclusionsThe psychiatrists who were more likely to have concerns about mental health apps were those who were generally unfamiliar with the apps and/or thought the apps aim to replace, rather than support, face-to-face treatment. Thus, clinicians and patients should be familiarized with the use of such mobile apps and educated on how they could support the face-to-face treatment.
9
Yin, Huifang, Klaas J. Wardenaar, Yuhao Wang, Nan Wang, Wenjin Chen, Yan Zhang, Guangming Xu, and Robert A. Schoevers. "Mobile Mental Health Apps in China: Systematic App Store Search." Journal of Medical Internet Research 22, no. 7 (July 27, 2020): e14915. http://dx.doi.org/10.2196/14915.
Full textAbstract:
Background Smartphones have become ubiquitous in China, offering a promising way to deliver mental health interventions; however, little is known about the current use and characteristics of smartphone apps for mental health. Objective The purpose of this study was to gain insight into mobile mental health apps available in China as of December 2018. Methods A systematic search was conducted to identify and evaluate the most downloaded apps from iOS and Android platforms. Apps were categorized according to their main purpose and downloaded to evaluate their content. Each app’s affiliation, cost, target users, information security, and evidence-based nature were evaluated. Results Of the 172 unique apps that were identified, there were 37 apps (21.5%) for psychological counseling, 50 apps (29.1%) for assessment, 12 apps (7.0%) to relieve stress, 24 apps (14.0%) for psychoeducation, and 49 (28.4%) multipurpose apps (ie, a combination of counseling and assessment). Most apps were developed for adults in the general population (166/172, 96.5%), rather than for psychiatric patients. App-based counseling was mostly provided by psychologists, and of the assessed apps, only 40% (70/172) used evidence-based scales to assess mental health problems such as anxiety or depressed mood. Guided meditation was used as the main technique in stress-relieving apps. Conclusions Many apps contained useful and evidence-based elements, such as good quality information, validated measurements, and useful meditation methods; however, for mobile apps to contribute significantly to mental health care in China, considerable challenges remain, including the need for more patient-focused apps that can actually take on the role of a health care provider. In addition, efficacy studies are needed.
10
., Kartikey. "Digitalization of Mental Health Solution." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 5368–74. http://dx.doi.org/10.22214/ijraset.2021.35679.
Full textAbstract:
Research is based on the current market of mental health apps in the market and will there be a recession or boom in their use. Comparing famous mental health apps available and research about their common features and what features an app should have to get more downloads in the mental health domain. Discussion about mental health policies of India. Research on the mentality of Indians and Americans on mental illness and how both mindsets differ from each other.
11
Aziz, Maryam, Aiman Erbad, Mohamed Basel Almourad, Majid Altuwairiqi, John McAlaney, and Raian Ali. "Did Usage of Mental Health Apps Change during COVID-19? A Comparative Study Based on an Objective Recording of Usage Data and Demographics." Life 12, no. 8 (August 19, 2022): 1266. http://dx.doi.org/10.3390/life12081266.
Full textAbstract:
This paper aims to objectively compare the use of mental health apps between the pre-COVID-19 and during COVID-19 periods and to study differences amongst the users of these apps based on age and gender. The study utilizes a dataset collected through a smartphone app that objectively records the users’ sessions. The dataset was analyzed to identify users of mental health apps (38 users of mental health apps pre-COVID-19 and 81 users during COVID-19) and to calculate the following usage metrics; the daily average use time, the average session time, the average number of launches, and the number of usage days. The mental health apps were classified into two categories: guidance-based and tracking-based apps. The results include the increased number of users of mental health apps during the COVID-19 period as compared to pre-COVID-19. Adults (aged 24 and above), compared to emerging adults (aged 15–24 years), were found to have a higher usage of overall mental health apps and guidance-based mental health apps. Furthermore, during the COVID-19 pandemic, males were found to be more likely to launch overall mental health apps and guidance-based mental health apps compared to females. The findings from this paper suggest that despite the increased usage of mental health apps amongst males and adults, user engagement with mental health apps remained minimal. This suggests the need for these apps to work towards improved user engagement and retention.
12
Shang, Jie, Shaoming Wei, Jianbo Jin, and Puhong Zhang. "Mental Health Apps in China: Analysis and Quality Assessment." JMIR mHealth and uHealth 7, no. 11 (November 7, 2019): e13236. http://dx.doi.org/10.2196/13236.
Full textAbstract:
Background Mental disorders have been a great burden on health care systems, affecting the quality of life of millions of people worldwide. Developing countries, including China, suffer from the double burden of both the increasing mental health issues in population and the deficiency in mental health care resources. The use of mobile health technologies, especially for mobile phone apps, can be a possible solution. Objective This review aimed to describe the features and assess the quality of mental health apps in major mobile phone app markets in China and further discuss the priorities for mental health app development. Methods Keywords including psychology, psychological health, psychological hygiene, psychological health service(s), mental, mental health, mental hygiene, mental health service(s), depression, and anxiety were searched in Chinese in 3 Android app markets (Baidu Mobile Assistant, Tencent MyApp, and 360 Mobile Assistant) and iOS App Store independently. Mental health apps were then selected according to established criteria for in-depth analysis and quality assessment by the Mobile App Rating Scale. Results In total, 63 of 997 mental health apps were analyzed in depth, of which 78% (49/63) were developed by commercial entities for general population, 17% (11/63) were for patients or clients of specialized psychiatric hospitals or counseling agencies, 3% (2/63) were by government or local Centers for Disease Control and Prevention for general information, and 2% (1/63) for students of a university. Major built-in features of the apps included counseling services, mental health education, and self-assessment of mental health status by validated self-rating scales. The overall quality score of the MH apps was acceptable. Conclusions Mental health apps are emerging in the area of mobile health in China. Popular mental health apps usually provide a synthetic platform organizing resources of information, knowledge, counseling services, self-tests, and management for the general population with mental health-related inquiries. The quality of the apps was rated as acceptable on average, suggesting some space for improvement. Official guidelines and regulations are urgently required for the field in the future.
13
Chandrashekar, Pooja. "Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps." mHealth 4 (March 2018): 6. http://dx.doi.org/10.21037/mhealth.2018.03.02.
Full text
14
Camacho, Erica, Asher Cohen, and John Torous. "Assessment of Mental Health Services Available Through Smartphone Apps." JAMA Network Open 5, no. 12 (December 28, 2022): e2248784. http://dx.doi.org/10.1001/jamanetworkopen.2022.48784.
Full textAbstract:
ImportanceAs more patients and clinicians are turning to mental health smartphone apps to expand access to services, little is known about the current state of the app marketplaces and what these apps are actually offering in terms of features, privacy, price, and services.ObjectiveTo assess the current state of mental health apps, explore the association between app privacy scores and popularity as measured by star ratings and downloads, and to understand opportunities and challenges facing the commercial app landscape.Design, Setting, and ParticipantsThis cross-sectional study had trained raters using the public-facing M-Health Index and Navigation Database (MIND) to assess and review 578 mental health apps. The sample of apps used in this analysis were pulled from MIND and include apps across various conditions including schizophrenia, eating disorders, sleep, and more. Analysis of these apps was conducted in June 2022.ExposuresThere were 578 mental health apps rated across 105 dimensions derived from the American Psychiatric Association’s app evaluation framework.Main Outcomes and MeasuresApp raters assessed each app across 6 categories: (1) app origin and accessibility, (2) privacy and security, (3) clinical foundation, (4) features and engagement, (5) inputs and outputs, and (6) interoperability. Privacy scores were determined by 5 MIND criteria, including (1) having a privacy policy, (2) reporting security measures in place, (3) declaring data use and purpose, (4) allowing for the deletion of data, and (5) allowing users to opt out of data collection. Correlations between privacy scores and popularity metrics (star ratings and number of downloads) were measured.ResultsThis study included 578 mental health apps that were identified, assessed, and analyzed across 105 MIND dimensions. Psychoeducation, goal setting, and mindfulness were among the top app features. Of the 578 apps analyzed, 443 (77%) had a privacy policy. This analysis of apps with a privacy policy revealed that there was no statistically significant correlation between privacy scores and Apple App Store (r = 0.058, P = .29) or Google Play Store star ratings (r = 0.041; P = .48). The number of app downloads on the Google Play Store, however, was weakly correlated with privacy scores (χ25 = 22.1; P &lt; .001).Conclusions and RelevanceIn this cross-sectional study of mental health apps, findings indicate that the current app marketplaces primarily offered basic features such as psychoeducation, goal tracking, and mindfulness but fewer innovative features such as biofeedback or specialized therapies. Privacy challenges remained common, and app popularity metrics provided little help in identifying apps with more privacy.
15
Aryana, Bijan, and Liz Brewster. "Design for mobile mental health: Exploring the informed participation approach." Health Informatics Journal 26, no. 2 (September 30, 2019): 1208–24. http://dx.doi.org/10.1177/1460458219873540.
Full textAbstract:
Mobile applications (apps) have the potential to improve mental health services. However, there is limited evidence of efficacy or responsiveness to user needs for existing apps. A lack of design methods has contributed to this issue. Developers view mental health apps as stand-alone products and dismiss the complex context of use. Participatory design, particularly an informed participation approach, has potential to improve the design of mental health apps. In this study, we worked with young mobile users and mental health practitioners to examine the informed participation approach for designing apps. Using auto-ethnography and a set of design workshops, the project focused on eliciting design requirements as a factor for successful implementation. We compared resultant ideas and designs with existing apps. Many user requirements revealed were absent in existing apps, suggesting potential advantages to informed participation. The observation of the process, however, showed challenges in engagement that need to be overcome.
16
Marley, Justin, and Saeed Farooq. "Mobile telephone apps in mental health practice: uses, opportunities and challenges." BJPsych Bulletin 39, no. 6 (December 2015): 288–90. http://dx.doi.org/10.1192/pb.bp.114.050005.
Full textAbstract:
SummarySmartphones are used by patients and clinicians alike. Vast numbers of software applications (apps) run on smartphones and carry out useful functions. Clinician- and patient-oriented mental health apps have been developed. In this article, we provide an overview of apps that are relevant for mental health. We look at clinician-oriented apps that support assessment, diagnosis and treatment as well as patient-oriented apps that support education and self-management. We conclude by looking at the challenges that apps pose with a discussion of possible solutions.
17
Alqahtani, Felwah, and Rita Orji. "Insights from user reviews to improve mental health apps." Health Informatics Journal 26, no. 3 (January 10, 2020): 2042–66. http://dx.doi.org/10.1177/1460458219896492.
Full textAbstract:
Mental health applications hold great promise as interventions for addressing common mental issues. Although many people with mental health issues use mobile app interventions, their adherence level remains low. Low engagement affects the effectiveness of mobile interventions. However, there is still a dearth of research to explain the reasons for low engagement. User experience and usability are two factors that determine the adoption and usage of apps. Analyzing user reviews of mobile apps for mental health issues reveals user experience and what features users liked and disliked in the apps and hence informs future app design and refinements. This research aims to analyze user reviews of publicly available mental health applications to uncover their strengths, weaknesses, and gaps, hence revealing why users are likely to cease using these applications. We mined reviews of 106 mental health apps retrieved from Apple’s App Store and Google Play and employed thematic analysis on 13,549 reviews. The review analysis shows that users placed more emphasis on the user interface and the user-friendliness of the app. Users also appreciated apps that present them with a variety of options, functionalities, and content that they can choose. Again, apps that offer adaptive functionalities that allow users to adapt some app features also received high ratings. In contrast, poor usability emerged as the most common reason for abandoning mental health apps. Other pitfalls include lack of a content variety, lack of personalization, lack of customer service and trust, and security and privacy issues.
18
Sedrati, Hayat, Chakib Nejjari, Souad Chaqsare, and Hassan Ghazal. "Mental and Physical Mobile Health Apps: Review." Procedia Computer Science 100 (2016): 900–906. http://dx.doi.org/10.1016/j.procs.2016.09.241.
Full text
19
Lee, Rebecca Anne, and Mary Elizabeth Jung. "Evaluation of an mHealth App (DeStressify) on University Students’ Mental Health: Pilot Trial." JMIR Mental Health 5, no. 1 (January 23, 2018): e2. http://dx.doi.org/10.2196/mental.8324.
Full textAbstract:
Background One in five Canadians experience mental health issues with those in the age range of 15 to 24 years being most at risk of a mood disorder. University students have shown significantly higher rates of mental health problems than the general public. Current university support services are limited by factors such as available staff and finances, and social stigma has frequently been identified as an additional barrier that prevents students from accessing these resources. Mobile health (mHealth) apps are one form of alternative health support that is discrete and accessible to students, and although they are recognized as a promising alternative, there is limited research demonstrating their efficacy. Objective The aim of this study was to evaluate a mindfulness-based app’s (“DeStressify”) efficacy on stress, anxiety, depressive symptomology, sleep behavior, work or class absenteeism, work or school productivity, and quality of life (QoL) among university students. Methods Full-time undergraduate students at a Canadian university with smartphones and Internet access were recruited through in-class announcements and on-campus posters. Participants randomized into an experimental condition were given and instructed to use the DeStressify app 5 days a week for 4 weeks. Control condition participants were wait-listed. All participants completed pre- and postintervention Web-based surveys to self-assess stress, anxiety, depressive symptomatology, sleep quality, and health-related QoL. Results A total of 206 responses were collected at baseline, with 163 participants completing the study (86 control, 77 experimental). Using DeStressify was shown to reduce trait anxiety (P=.01) and improve general health (P=.001), energy (P=.01), and emotional well-being (P=.01) in university students, and more participants in the experimental condition believed their productivity improved between baseline and postintervention measurements than the number of participants expected to believe so randomly by chance (P=.01). The app did not significantly improve stress, state anxiety, physical and social functioning, and role limitations because of physical or emotional health problems or pain (P>.05). Conclusions Mindfulness-based apps may provide an effective alternative support for university students’ mental health. Universities and other institutions may benefit from promoting the use of DeStressify or other mindfulness-based mHealth apps among students who are interested in methods of anxiety management or mindfulness-based self-driven health support. Future steps include examining DeStressify and similar mHealth apps over a longer period and in university staff and faculty.
20
Aziz, Maryam, Aiman Erbad, Samir B. Belhaouari, Mohamed B. Almourad, Majid Altuwairiqi, and Raian Ali. "Who uses mHealth apps? Identifying user archetypes of mHealth apps." DIGITAL HEALTH 9 (January 2023): 205520762311521. http://dx.doi.org/10.1177/20552076231152175.
Full textAbstract:
Objective This study aims to explore the user archetypes of health apps based on average usage and psychometrics. Methods The study utilized a dataset collected through a dedicated smartphone application and contained usage data, i.e. the timestamps of each app session from October 2020 to April 2021. The dataset had 129 participants for mental health apps usage and 224 participants for physical health apps usage. Average daily launches, extraversion, neuroticism, and satisfaction with life were the determinants of the mental health apps clusters, whereas average daily launches, conscientiousness, neuroticism, and satisfaction with life were for physical health apps. Results Two clusters of mental health apps users were identified using k-prototypes clustering: help-seeking and maintenance users and three clusters of physical health apps users were identified: happy conscious occasional, happy neurotic occasional, and unhappy neurotic frequent users. Conclusion The findings from this study helped to understand the users of health apps based on the frequency of usage, personality, and satisfaction with life. Further, with these findings, apps can be tailored to optimize user experience and satisfaction which may help to increase user retention. Policymakers may also benefit from these findings since understanding the populations’ needs may help to better invest in effective health technology.
21
Lecomte, Tania, Stéphane Potvin, Marc Corbière, Stéphane Guay, Crystal Samson, Briana Cloutier, Audrey Francoeur, Antoine Pennou, and Yasser Khazaal. "Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses." JMIR mHealth and uHealth 8, no. 5 (May 29, 2020): e17458. http://dx.doi.org/10.2196/17458.
Full textAbstract:
Background Mental health apps have great potential to help people needing support to cope with distress or specific symptoms. In fact, there is an exponential increase in the number of mental health apps available on the internet, with less than 5% being actually studied. Objective This study aimed to assess the quality of the available evidence regarding the use of mental health apps and to summarize the results obtained so far. Methods Systematic reviews and meta-analyses were searched, specifically for mobile apps on mental health issues or symptoms, and rated using the Grading of Recommendations Assessment, Development and Evaluation system. Results A total of 7 meta-analyses were carefully reviewed and rated. Although some meta-analyses looked at any mental health issue and analyzed the data together, these studies were of poorer quality and did not offer strong empirical support for the apps. Studies focusing specifically on anxiety symptoms or depressive symptoms were of moderate to high quality and generally had small to medium effect sizes. Similarly, the effects of apps on stress and quality of life tended to offer small to medium effects and were of moderate to high quality. Studies looking at stand-alone apps had smaller effect sizes but better empirical quality than studies looking at apps with guidance. The studies that included follow-ups mostly found a sustained impact of the app at an 11-week follow-up. Conclusions This meta-review revealed that apps for anxiety and depression hold great promise with clear clinical advantages, either as stand-alone self-management or as adjunctive treatments. More meta-analyses and more quality studies are needed to recommend apps for other mental health issues or for specific populations.
22
Bakker, David, Nikolaos Kazantzis, Debra Rickwood, and Nikki Rickard. "Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments." JMIR Mental Health 3, no. 1 (March 1, 2016): e7. http://dx.doi.org/10.2196/mental.4984.
Full textAbstract:
Background The number of mental health apps (MHapps) developed and now available to smartphone users has increased in recent years. MHapps and other technology-based solutions have the potential to play an important part in the future of mental health care; however, there is no single guide for the development of evidence-based MHapps. Many currently available MHapps lack features that would greatly improve their functionality, or include features that are not optimized. Furthermore, MHapp developers rarely conduct or publish trial-based experimental validation of their apps. Indeed, a previous systematic review revealed a complete lack of trial-based evidence for many of the hundreds of MHapps available. Objective To guide future MHapp development, a set of clear, practical, evidence-based recommendations is presented for MHapp developers to create better, more rigorous apps. Methods A literature review was conducted, scrutinizing research across diverse fields, including mental health interventions, preventative health, mobile health, and mobile app design. Results Sixteen recommendations were formulated. Evidence for each recommendation is discussed, and guidance on how these recommendations might be integrated into the overall design of an MHapp is offered. Each recommendation is rated on the basis of the strength of associated evidence. It is important to design an MHapp using a behavioral plan and interactive framework that encourages the user to engage with the app; thus, it may not be possible to incorporate all 16 recommendations into a single MHapp. Conclusions Randomized controlled trials are required to validate future MHapps and the principles upon which they are designed, and to further investigate the recommendations presented in this review. Effective MHapps are required to help prevent mental health problems and to ease the burden on health systems.
23
Torous, John, Jennifer Nicholas, Mark E. Larsen, Joseph Firth, and Helen Christensen. "Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements." Evidence Based Mental Health 21, no. 3 (June 5, 2018): 116–19. http://dx.doi.org/10.1136/eb-2018-102891.
Full textAbstract:
The potential of smartphone apps to improve quality and increase access to mental health care is increasingly clear. Yet even in the current global mental health crisis, real-world uptake of smartphone apps by clinics or consumers remains low. To understand this dichotomy, this paper reviews current challenges surrounding user engagement with mental health smartphone apps. While smartphone engagement metrics and reporting remains heterogeneous in the literature, focusing on themes offers a framework to identify underlying trends. These themes suggest that apps are not designed with service users in mind, do not solve problems users care most about, do not respect privacy, are not seen as trustworthy and are unhelpful in emergencies. Respecting these current issues surrounding mental health app engagement, we propose several solutions and highlight successful examples of mental health apps with high engagement. Further research is necessary to better characterise engagement with mental health apps and identify best practices for design, testing and implementation.
24
Ben-Zeev, Dror. "Mobile Health for All: Public-Private Partnerships Can Create a New Mental Health Landscape." JMIR Mental Health 3, no. 2 (June 6, 2016): e26. http://dx.doi.org/10.2196/mental.5843.
Full textAbstract:
Research has already demonstrated that different mHealth approaches are feasible, acceptable, and clinically promising for people with mental health problems. With a robust evidence base just over the horizon, now is the time for policy makers, researchers, and the private sector to partner in preparation for the near future. The Lifeline Assistance Program is a useful model to draw from. Created in 1985 by the U.S. Federal Communications Commission (FCC), Lifeline is a nationwide program designed to help eligible low-income individuals obtain home phone and landline services so they can pursue employment, reach help in case of emergency, and access social services and healthcare. In 2005, recognizing the broad shift towards mobile technology and mobile-cellular infrastructure, the FCC expanded the program to include mobile phones and data plans. The FCC provides a base level of federal support, but individual states are responsible for regional implementation, including engagement of commercial mobile phone carriers. Given the high rates of disability and poverty among people with severe mental illness, many are eligible to benefit from Lifeline and research has shown that a large proportion does in fact use this program to obtain a mobile phone and data plan. In the singular area of mobile phone use, the gap between people with severe mental illness and the general population in the U.S. is vanishing. Strategic multi-partner programs will be able to grant access to mHealth for mental health programs to those who will not be able to afford them—arguably, the people who need them the most. Mobile technology manufacturing costs are dropping. Soon all mobile phones in the marketplace, including the more inexpensive devices that are made available through subsidy programs, will have “smart” capabilities (ie, internet connectivity and the capacity to host apps). Programs like Lifeline could be expanded to include mHealth resources that capitalize on “smart” functions, such as secure/encrypted clinical texting programs and mental health monitoring and illness-management apps. Mobile phone hardware and software development companies could be engaged to add mHealth programs as a standard component in the suite of tools that come installed on their mobile phones; thus, in addition to navigation apps, media players, and games, the new Android or iPhone could come with guided relaxation videos, medication reminder systems, and evidence-based self-monitoring and self-management tools. Telecommunication companies could be encouraged to offer mHealth options with their data plans. Operating system updates pushed out by the mobile carrier companies could come with optional mHealth applications for those who elect to download them. In the same manner in which the Lifeline Assistance Program has helped increase access to fundamental opportunities to so many low-income individuals, innovative multi-partner programs have the potential to put mHealth for mental health resources in the hands of millions in the years ahead.
25
Morriss, Richard K. "Do apps have anything to offer mental health?" BJPsych Advances 21, no. 5 (September 2015): 359–60. http://dx.doi.org/10.1192/apt.bp.115.014811.
Full textAbstract:
SummaryMany people with mental health problems spend a large proportion of their life online and an increasing number of apps address mental health and well-being. This article offers reasons why psychiatrists should learn how to use mental health apps to enhance patient care and gives some caveats for both professionals and patients regarding their use.
26
Six, Stephanie G., Kaileigh A. Byrne, Thomas P. Tibbett, and Irene Pericot-Valverde. "Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis." JMIR Mental Health 8, no. 11 (November 29, 2021): e32199. http://dx.doi.org/10.2196/32199.
Full textAbstract:
Background Previous research showed that computerized cognitive behavioral therapy can effectively reduce depressive symptoms. Some mental health apps incorporate gamification into their app design, yet it is unclear whether features differ in their effectiveness to reduce depressive symptoms over and above mental health apps without gamification. Objective The aim of this study was to determine whether mental health apps with gamification elements differ in their effectiveness to reduce depressive symptoms when compared to those that lack these elements. Methods A meta-analysis of studies that examined the effect of app-based therapy, including cognitive behavioral therapy, acceptance and commitment therapy, and mindfulness, on depressive symptoms was performed. A total of 5597 articles were identified via five databases. After screening, 38 studies (n=8110 participants) remained for data extraction. From these studies, 50 total comparisons between postintervention mental health app intervention groups and control groups were included in the meta-analysis. Results A random effects model was performed to examine the effect of mental health apps on depressive symptoms compared to controls. The number of gamification elements within the apps was included as a moderator. Results indicated a small to moderate effect size across all mental health apps in which the mental health app intervention effectively reduced depressive symptoms compared to controls (Hedges g=–0.27, 95% CI –0.36 to –0.17; P<.001). The gamification moderator was not a significant predictor of depressive symptoms (β=–0.03, SE=0.03; P=.38), demonstrating no significant difference in effectiveness between mental health apps with and without gamification features. A separate meta-regression also did not show an effect of gamification elements on intervention adherence (β=–1.93, SE=2.28; P=.40). Conclusions The results show that both mental health apps with and without gamification elements were effective in reducing depressive symptoms. There was no significant difference in the effectiveness of mental health apps with gamification elements on depressive symptoms or adherence. This research has important clinical implications for understanding how gamification elements influence the effectiveness of mental health apps on depressive symptoms.
27
Torous, John, Hannah Wisniewski, Gang Liu, and Matcheri Keshavan. "Mental Health Mobile Phone App Usage, Concerns, and Benefits Among Psychiatric Outpatients: Comparative Survey Study." JMIR Mental Health 5, no. 4 (November 16, 2018): e11715. http://dx.doi.org/10.2196/11715.
Full textAbstract:
Background Despite the popularity of mental health apps, it is unknown if they are actually used by those with mental illness. This study assessed whether differences in clinic setting may influence the use of mental health apps and which factors influence patient perception of apps. Objective The objective of this study was to gain an understanding of how individuals with mental illness use their mobile phones by exploring their access to mobile phones and their use of mental health apps. Methods A single time point survey study was conducted over a 2-week period in February 2018 at two nearby outpatient psychiatry clinics: one serving largely mood and anxiety disorder patients with private insurance staffed by both faculty and residents and the other serving largely psychotic disorder patients in a state Department of Mental Health (DMH) setting. A total of 25 patients at the state DMH clinic also consented for a single time point observation of apps currently installed on their personal mobile phone. Results A total of 113 patients at the private insurance clinic and 73 at the state DMH clinic completed the survey. Those in the private insurance clinic were more likely to download a mental health app compared to the state DMH clinic, but actual rates of reported current app usage were comparable at each clinic, approximately 10%. Verifying current apps on patients’ mobile phones at the state DMH clinic confirmed that approximately 10% had mental health apps installed. Patients at both clinics were most concerned about privacy of mental health apps, although those at the state DMH clinic viewed cost savings as the greatest benefit while those at the private clinic reported time as the greatest benefit. Conclusions High interest in mental health apps does not automatically translate into high use. Our results of low but similar rates of mental health app use at diverse clinics suggests DMH patients with largely psychotic disorders are as interested and engaged with apps as those in a private insurance clinic treating largely mood and anxiety disorders. Results from our study also highlight the importance of understanding how actual patients are using apps instead of relying on internet-based samples, which often yield higher results due to their likelihood of being selected.
28
Wu, Xiaoqian, Lin Xu, PengFei Li, TingTing Tang, and Cheng Huang. "Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation." JMIR mHealth and uHealth 10, no. 1 (January 4, 2022): e34054. http://dx.doi.org/10.2196/34054.
Full textAbstract:
Background Mental disorders impose varying degrees of burden on patients and their surroundings. However, people are reluctant to take the initiative to seek mental health services because of the uneven distribution of resources and stigmatization. Thus, mobile apps are considered an effective way to eliminate these obstacles and improve mental health awareness. Objective This study aims to evaluate the quality, function, privacy measures, and evidence-based and professional background of multipurpose mental health apps in Chinese commercial app stores. Methods A systematic search was conducted on iOS and Android platforms in China to identify multipurpose mental health apps. Two independent reviewers evaluated the identified mobile apps using the Mobile App Rating Scale (MARS). Each app was downloaded, and the general characteristics, privacy and security measures, development background, and functional characteristics of each app were evaluated. Results A total of 40 apps were analyzed, of which 35 (87.5%) were developed by companies and 33 (82.5%) provided links to access the privacy policy; 21 (52.5%) apps did not mention the involvement of relevant professionals or the guidance of a scientific basis in the app development process. The main built-in functions of these apps include psychological education (38/40, 95%), self-assessment (34/40, 85%), and counseling (33/40, 82.5%). The overall quality average MARS score of the 40 apps was 3.54 (SD 0.39), and the total score was between 2.96 and 4.30. The total MARS score was significantly positively correlated with the scores of each subscale (r=0.62-0.88, P<.001). However, the user score of the app market was not significantly correlated with the total MARS score (r=0.17, P=.33). Conclusions The quality of multipurpose mental health apps in China’s main app market is generally good. However, health professionals are less involved in the development of these apps, and the privacy protection policy of the apps also needs to be described in more detail. This study provides a reference for the development of multipurpose mental health apps.
29
Martinengo, Laura, Anne-Claire Stona, Lorainne Tudor Car, Jimmy Lee, Konstadina Griva, and Josip Car. "Education on Depression in Mental Health Apps: Systematic Assessment of Characteristics and Adherence to Evidence-Based Guidelines." Journal of Medical Internet Research 24, no. 3 (March 9, 2022): e28942. http://dx.doi.org/10.2196/28942.
Full textAbstract:
Background Suboptimal understanding of depression and mental health disorders by the general population is an important contributor to the wide treatment gap in depression. Mental health literacy encompasses knowledge and beliefs about mental disorders and supports their recognition, management, and prevention. Besides knowledge improvement, psychoeducational interventions reduce symptoms of depression, enhance help-seeking behavior, and decrease stigma. Mental health apps often offer educational content, but the trustworthiness of the included information is unclear. Objective The aim of this study is to systematically evaluate adherence to clinical guidelines on depression of the information offered by mental health apps available in major commercial app stores. Methods A systematic assessment of the educational content regarding depression in the apps available in the Apple App Store and Google Play was conducted in July 2020. A systematic search for apps published or updated since January 2019 was performed using 42matters. Apps meeting the inclusion criteria were downloaded and assessed using two smartphones: an iPhone 7 (iOS version 14.0.1) and a Sony XPERIA XZs (Android version 8.0.0). The 156-question assessment checklist comprised general characteristics of apps, appraisal of 38 educational topics and their adherence to evidence-based clinical guidelines, as well as technical aspects and quality assurance. The results were tabulated and reported as a narrative review, using descriptive statistics. Results The app search retrieved 2218 apps, of which 58 were included in the analysis (Android apps: n=29, 50%; iOS apps: n=29, 50%). Of the 58 included apps, 37 (64%) apps offered educational content within a more comprehensive depression or mental health management app. Moreover, 21% (12/58) of apps provided non–evidence-based information. Furthermore, 88% (51/58) of apps included up to 20 of the educational topics, the common ones being listing the symptoms of depression (52/58, 90%) and available treatments (48/58, 83%), particularly psychotherapy. Depression-associated stigma was mentioned by 38% (22/58) of the apps, whereas suicide risk was mentioned by 71% (41/58), generally as an item in a list of symptoms. Of the 58 included apps, 44 (76%) highlighted the importance of help seeking, 29 (50%) emphasized the importance of involving the user’s support network. In addition, 52% (30/58) of apps referenced their content, and 17% (10/58) included advertisements. Conclusions Information in mental health and depression apps is often brief and incomplete, with 1 in 5 apps providing non–evidence-based information. Given the unmet needs and stigma associated with the disease, it is imperative that apps seize the opportunity to offer quality, evidence-based education or point the users to relevant resources. A multistakeholder consensus on a more stringent development and publication process for mental health apps is essential.
30
Powell, Adam C., Matthias B. Bowman, and Henry T. Harbin. "Reimbursement of Apps for Mental Health: Findings From Interviews." JMIR Mental Health 6, no. 8 (August 6, 2019): e14724. http://dx.doi.org/10.2196/14724.
Full textAbstract:
Background Although apps and other digital and mobile health tools are helping improve the mental health of Americans, they are currently being reimbursed through a varied range of means, and most are not being reimbursed by payers at all. Objective The aim of this study was to shed light on the state of app reimbursement. We documented ways in which apps can be reimbursed and surveyed stakeholders to understand current reimbursement practices. Methods Individuals from over a dozen stakeholder organizations in the domains of digital behavioral and mental health, care delivery, and managed care were interviewed. A review of Current Procedural Terminology (CPT) and Healthcare Common Procedure Coding System (HCSPCS) codes was conducted to determine potential means for reimbursement. Results Interviews and the review of codes revealed that potential channels for app reimbursement include direct payments by employers, providers, patients, and insurers. Insurers are additionally paying for apps using channels originally designed for devices, drugs, and laboratory tests, as well as via value-based payments and CPT and HCSPCS codes. In many cases, it is only possible to meet the requirements of a CPT or HCSPCS code if an app is used in conjunction with human time and services. Conclusions Currently, many apps face significant barriers to reimbursement. CPT codes are not a viable means of providing compensation for the use of all apps, particularly those involving little physician work. In some cases, apps have sought clearance from the US Food and Drug Administration for prescription use as digital therapeutics, a reimbursement mechanism with as yet unproven sustainability. There is a need for simpler, more robust reimbursement mechanisms to cover stand-alone app-based treatments.
31
Mehta, Priyanka, Chalise Carlson, Jason Anderson, Ana Alfaro, Erin Sakai, and Christine Gould. "Connecting Older Adults With Mental Health Apps: A Survey of Provider App and Education Material Use." Innovation in Aging 5, Supplement_1 (December 1, 2021): 859. http://dx.doi.org/10.1093/geroni/igab046.3135.
Full textAbstract:
Abstract Many older veterans have access to mobile devices and are interested in using apps for mental health self-management, but few have ever downloaded health apps. To address the need for awareness of and access to VA mental health apps, we developed patient educational materials aimed towards older (or novice) users of mobile devices. The present study explored health care providers’ and staff’s perceptions about use of mental health mobile applications (apps) with older veterans and examined potential utility of these patient educational materials. Requestors of mobile device education materials (N = 90) were surveyed when ordering materials and again 4 months later. Baseline and follow-up surveys assessed frequency of app recommendation, and comfort recommending apps. Baseline surveys examined perceived advantages of apps; follow-up surveys examined perceived utility of the educational materials. Descriptive statistics and qualitative analysis were conducted. Most requesters (68.5%) initially were not comfortable using apps, yet perceived many advantages to using apps and hoped materials could facilitate app use. At follow-up, requestors felt more comfortable recommending apps alongside our materials. Qualitative analysis revealed perceived advantages to using the education materials. The benefits of developing and disseminating educational materials for providers to share with older veterans helped support older veterans’ app use, and potentially increased providers’ comfort with and frequency of recommending apps to their older patients. Access to educational materials can mitigate discomfort among providers in recommending apps to older users and may bring about valuable discussions about apps which support mental health.
32
Rudd, Brittany N., and Rinad S. Beidas. "Digital Mental Health: The Answer to the Global Mental Health Crisis?" JMIR Mental Health 7, no. 6 (June 2, 2020): e18472. http://dx.doi.org/10.2196/18472.
Full textAbstract:
Digital mental health interventions are often touted as the solution to the global mental health crisis. However, moving mental health care from the hands of professionals and into digital apps may further isolate individuals who need human connection the most. In this commentary, we argue that people, our society’s greatest resource, are as ubiquitous as technology. Thus, we argue that research focused on using technology to support all people in delivering mental health prevention and intervention deserves greater attention in the coming decade.
33
Hwang, Won Ju, Ji Sun Ha, and Mi Jeong Kim. "Research Trends on Mobile Mental Health Application for General Population: A Scoping Review." International Journal of Environmental Research and Public Health 18, no. 5 (March 2, 2021): 2459. http://dx.doi.org/10.3390/ijerph18052459.
Full textAbstract:
Background: Scoping reviews of the literature on the development and application of mental health apps based on theoretical suggestions are lacking. This study systematically examines studies on the effects and results of mental health mobile apps for the general adult population. Methods: Following PICOs (population, intervention, comparison, outcome, study design), a general form of scoping review was adopted. From January 2010 to December 2019, we selected the effects of mental health-related apps and intervention programs provided by mobile to the general adult population over the age of 18. Additionally, evaluation of methodological quality was assessed using the Scottish Intercollegiate Guidelines Network (SIGN) checklist. Results: Fourteen studies were analyzed of 1205 that were identified; duplicate and matching studies were excluded. One was a descriptive study and 13 were experimental, of which randomized control trials (RCTs) accounted for 71.4%. Four of the mobile apps were developed based on cognitive behavior theory, one based on stress theory, and one on ecological instant intervention theory. These apps included breathing training, meditation, and music therapy. Stress, depression, and anxiety decreased using these apps, and some were effective for well-being. Conclusion: With the rapid development of technology related to mental health, many mobile apps are developed, but apps based on theoretical knowledge and well-designed research are lacking. Further research and practices should be conducted to develop, test, and disseminate evidence-based mHealth for mental health promotion. RCT studies are needed to expand the application to mental health services to various populations.
34
Baumel, Amit, Frederick Muench, Stav Edan, and John M. Kane. "Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis." Journal of Medical Internet Research 21, no. 9 (September 25, 2019): e14567. http://dx.doi.org/10.2196/14567.
Full textAbstract:
Background Understanding patterns of real-world usage of mental health apps is key to maximizing their potential to increase public self-management of care. Although developer-led studies have published results on the use of mental health apps in real-world settings, no study yet has systematically examined usage patterns of a large sample of mental health apps relying on independently collected data. Objective Our aim is to present real-world objective data on user engagement with popular mental health apps. Methods A systematic engine search was conducted using Google Play to identify Android apps with 10,000 installs or more targeting anxiety, depression, or emotional well-being. Coding of apps included primary incorporated techniques and mental health focus. Behavioral data on real-world usage were obtained from a panel that provides aggregated nonpersonal information on user engagement with mobile apps. Results In total, 93 apps met the inclusion criteria (installs: median 100,000, IQR 90,000). The median percentage of daily active users (open rate) was 4.0% (IQR 4.7%) with a difference between trackers (median 6.3%, IQR 10.2%) and peer-support apps (median 17.0%) versus breathing exercise apps (median 1.6%, IQR 1.6%; all z≥3.42, all P<.001). Among active users, daily minutes of use were significantly higher for mindfulness/meditation (median 21.47, IQR 15.00) and peer support (median 35.08, n=2) apps than for apps incorporating other techniques (tracker, breathing exercise, psychoeducation: medians range 3.53-8.32; all z≥2.11, all P<.05). The medians of app 15-day and 30-day retention rates were 3.9% (IQR 10.3%) and 3.3% (IQR 6.2%), respectively. On day 30, peer support (median 8.9%, n=2), mindfulness/meditation (median 4.7%, IQR 6.2%), and tracker apps (median 6.1%, IQR 20.4%) had significantly higher retention rates than breathing exercise apps (median 0.0%, IQR 0.0%; all z≥2.18, all P≤.04). The pattern of daily use presented a descriptive peak toward the evening for apps incorporating most techniques (tracker, psychoeducation, and peer support) except mindfulness/meditation, which exhibited two peaks (morning and night). Conclusions Although the number of app installs and daily active minutes of use may seem high, only a small portion of users actually used the apps for a long period of time. More studies using different datasets are needed to understand this phenomenon and the ways in which users self-manage their condition in real-world settings.
35
Drissi, Nidal, Ayat Alhmoudi, Hana Al Nuaimi, Mahra Alkhyeli, Shaikha Alsalami, and Sofia Ouhbi. "Investigating the Impact of COVID-19 Lockdown on the Psychological Health of University Students and Their Attitudes Toward Mobile Mental Health Solutions: Two-Part Questionnaire Study." JMIR Formative Research 4, no. 10 (October 20, 2020): e19876. http://dx.doi.org/10.2196/19876.
Full textAbstract:
Background The COVID-19 outbreak was first reported to the World Health Organization on December 31, 2019, and it was officially declared a public health emergency of international concern on January 30, 2020. The COVID-19 outbreak and the safety measures taken to control it caused many psychological issues in populations worldwide, such as depression, anxiety, and stress. Objective The objectives of this study were to assess the psychological effects of the lockdown due to the COVID-19 outbreak on university students in the United Arab Emirates (UAE) and to investigate the students’ awareness of mobile mental health care apps as well as their attitudes toward the use of these apps. Methods A two-part self-administered web-based questionnaire was delivered to students at United Arab Emirates University. The first part of the questionnaire assessed the mental state of the participants using the 12-item General Health Questionnaire (GHQ-12), while the second part contained questions investigating the participants’ awareness of and attitudes toward mental health care apps. Students were invited to fill out the web-based questionnaire via social media and mailing lists. Results A total of 154 students participated in the survey, and the majority were female. The results of the GHQ-12 analysis showed that the students were experiencing psychological issues related to depression and anxiety as well as social dysfunction. The results also revealed a lack of awareness of mental health care apps and uncertainty regarding the use of such apps. Approximately one-third of the participants (44/154, 28.6%) suggested preferred functionalities and characteristics of mobile mental health care apps, such as affordable price, simple design, ease of use, web-based therapy, communication with others experiencing the same issues, and tracking of mental status. Conclusions Like many groups of people worldwide, university students in the UAE were psychologically affected by the lockdown due to the COVID-19 outbreak. Although apps can be useful tools for mental health care delivery, especially in circumstances such as those produced by the outbreak, the students in this study showed a lack of awareness of these apps and mixed attitudes toward them. Improving the digital health literacy of university students in the UAE by increasing their awareness of mental health care apps and the treatment methods and benefits of the apps, as well as involving students in the app creation process, may encourage students to use these tools for mental health care.
36
Spadaro, Benedetta, Nayra A. Martin-Key, Erin Funnell, and Sabine Bahn. "mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework." JMIR mHealth and uHealth 10, no. 1 (January 17, 2022): e30724. http://dx.doi.org/10.2196/30724.
Full textAbstract:
Background The ever-increasing pressure on health care systems has resulted in the underrecognition of perinatal mental disorders. Digital mental health tools such as apps could provide an option for accessible perinatal mental health screening and assessment. However, there is a lack of information regarding the availability and features of perinatal app options. Objective This study aims to evaluate the current state of diagnostic and screening apps for perinatal mental health available on the Google Play Store (Android) and Apple App Store (iOS) and to review their features following the mHealth Index and Navigation Database framework. Methods Following a scoping review approach, the Apple App Store and Google Play Store were systematically searched to identify perinatal mental health assessment apps. A total of 14 apps that met the inclusion criteria were downloaded and reviewed in a standardized manner using the mHealth Index and Navigation Database framework. The framework comprised 107 questions, allowing for a comprehensive assessment of app origin, functionality, engagement features, security, and clinical use. Results Most apps were developed by for-profit companies (n=10), followed by private individuals (n=2) and trusted health care companies (n=2). Out of the 14 apps, 3 were available only on Android devices, 4 were available only on iOS devices, and 7 were available on both platforms. Approximately one-third of the apps (n=5) had been updated within the last 180 days. A total of 12 apps offered the Edinburgh Postnatal Depression Scale in its original version or in rephrased versions. Engagement, input, and output features included reminder notifications, connections to therapists, and free writing features. A total of 6 apps offered psychoeducational information and references. Privacy policies were available for 11 of the 14 apps, with a median Flesch-Kincaid reading grade level of 12.3. One app claimed to be compliant with the Health Insurance Portability and Accountability Act standards and 2 apps claimed to be compliant with General Data Protection Regulation. Of the apps that could be accessed in full (n=10), all appeared to fulfill the claims stated in their description. Only 1 app referenced a relevant peer-reviewed study. All the apps provided a warning for use, highlighting that the mental health assessment result should not be interpreted as a diagnosis or as a substitute for medical care. Only 3 apps allowed users to export or email their mental health test results. Conclusions These results indicate that there are opportunities to improve perinatal mental health assessment apps. To this end, we recommend focusing on the development and validation of more comprehensive assessment tools, ensuring data protection and safety features are adequate for the intended app use, and improving data sharing features between users and health care professionals for timely support.
37
Milne-Ives, Madison, Emma Selby, Becky Inkster, Ching Lam, and Edward Meinert. "Artificial intelligence and machine learning in mobile apps for mental health: A scoping review." PLOS Digital Health 1, no. 8 (August 15, 2022): e0000079. http://dx.doi.org/10.1371/journal.pdig.0000079.
Full textAbstract:
Mental health conditions can have significant negative impacts on wellbeing and healthcare systems. Despite their high prevalence worldwide, there is still insufficient recognition and accessible treatments. Many mobile apps are available to the general population that aim to support mental health needs; however, there is limited evidence of their effectiveness. Mobile apps for mental health are beginning to incorporate artificial intelligence and there is a need for an overview of the state of the literature on these apps. The purpose of this scoping review is to provide an overview of the current research landscape and knowledge gaps regarding the use of artificial intelligence in mobile health apps for mental health. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and Population, Intervention, Comparator, Outcome, and Study types (PICOS) frameworks were used to structure the review and the search. PubMed was systematically searched for randomised controlled trials and cohort studies published in English since 2014 that evaluate artificial intelligence- or machine learning-enabled mobile apps for mental health support. Two reviewers collaboratively screened references (MMI and EM), selected studies for inclusion based on the eligibility criteria and extracted the data (MMI and CL), which were synthesised in a descriptive analysis. 1,022 studies were identified in the initial search and 4 were included in the final review. The mobile apps investigated incorporated different artificial intelligence and machine learning techniques for a variety of purposes (risk prediction, classification, and personalisation) and aimed to address a wide range of mental health needs (depression, stress, and suicide risk). The studies’ characteristics also varied in terms of methods, sample size, and study duration. Overall, the studies demonstrated the feasibility of using artificial intelligence to support mental health apps, but the early stages of the research and weaknesses in the study designs highlight the need for more research into artificial intelligence- and machine learning-enabled mental health apps and stronger evidence of their effectiveness. This research is essential and urgent, considering the easy availability of these apps to a large population.
38
Hudson, Georgie, Esther Negbenose, Martha Neary, Sonja M. Jansli, Stephen M. Schueller, Til Wykes, and Sagar Jilka. "Comparing Professional and Consumer Ratings of Mental Health Apps: Mixed Methods Study." JMIR Formative Research 6, no. 9 (September 23, 2022): e39813. http://dx.doi.org/10.2196/39813.
Full textAbstract:
Background As the number of mental health apps has grown, increasing efforts have been focused on establishing quality tailored reviews. These reviews prioritize clinician and academic views rather than the views of those who use them, particularly those with lived experiences of mental health problems. Given that the COVID-19 pandemic has increased reliance on web-based and mobile mental health support, understanding the views of those with mental health conditions is of increasing importance. Objective This study aimed to understand the opinions of people with mental health problems on mental health apps and how they differ from established ratings by professionals. Methods A mixed methods study was conducted using a web-based survey administered between December 2020 and April 2021, assessing 11 mental health apps. We recruited individuals who had experienced mental health problems to download and use 3 apps for 3 days and complete a survey. The survey consisted of the One Mind PsyberGuide Consumer Review Questionnaire and 2 items from the Mobile App Rating Scale (star and recommendation ratings from 1 to 5). The consumer review questionnaire contained a series of open-ended questions, which were thematically analyzed and using a predefined protocol, converted into binary (positive or negative) ratings, and compared with app ratings by professionals and star ratings from app stores. Results We found low agreement between the participants’ and professionals’ ratings. More than half of the app ratings showed disagreement between participants and professionals (198/372, 53.2%). Compared with participants, professionals gave the apps higher star ratings (3.58 vs 4.56) and were more likely to recommend the apps to others (3.44 vs 4.39). Participants’ star ratings were weakly positively correlated with app store ratings (r=0.32, P=.01). Thematic analysis found 11 themes, including issues of user experience, ease of use and interactivity, privacy concerns, customization, and integration with daily life. Participants particularly valued certain aspects of mental health apps, which appear to be overlooked by professional reviewers. These included functions such as the ability to track and measure mental health and providing general mental health education. The cost of apps was among the most important factors for participants. Although this is already considered by professionals, this information is not always easily accessible. Conclusions As reviews on app stores and by professionals differ from those by people with lived experiences of mental health problems, these alone are not sufficient to provide people with mental health problems with the information they desire when choosing a mental health app. App rating measures must include the perspectives of mental health service users to ensure ratings represent their priorities. Additional work should be done to incorporate the features most important to mental health service users into mental health apps.
39
Borghouts, Judith, Elizabeth V. Eikey, Gloria Mark, Cinthia De Leon, Stephen M. Schueller, Margaret Schneider, Nicole Stadnick, Kai Zheng, Dana B. Mukamel, and Dara H. Sorkin. "Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study." Journal of Medical Internet Research 23, no. 9 (September 14, 2021): e27745. http://dx.doi.org/10.2196/27745.
Full textAbstract:
Background Mental health concerns are a significant issue among community college students, who often have less access to resources than traditional university college students. Mobile apps have the potential to increase access to mental health care, but there has been little research investigating factors associated with mental health app use within the community college population. Objective This study aimed to understand facilitators of and barriers to mental health app use among community college students. Methods A web-based survey was administered to a randomly selected sample of 500 community college students from April 16 to June 30, 2020. Structural equation modeling was used to test the relationships between the use of mental health apps, perceived stress, perceived need to seek help for mental health concerns, perceived stigma, past use of professional mental health services, privacy concerns, and social influence of other people in using mental health apps. Results Of the 500 participants, 106 (21.2%) reported use of mental health apps. Perceived stress, perceived need to seek help, past use of professional services, and social influence were positively associated with mental health app use. Furthermore, the effect of stress was mediated by a perceived need to seek help. Privacy concerns were negatively associated with mental health app use. Stigma, age, and gender did not have a statistically significant effect. Conclusions These findings can inform development of new digital interventions and appropriate outreach strategies to engage community college students in using mental health apps.
40
Rickard, Nikki, Hussain-Abdulah Arjmand, David Bakker, and Elizabeth Seabrook. "Development of a Mobile Phone App to Support Self-Monitoring of Emotional Well-Being: A Mental Health Digital Innovation." JMIR Mental Health 3, no. 4 (November 23, 2016): e49. http://dx.doi.org/10.2196/mental.6202.
Full textAbstract:
BackgroundEmotional well-being is a primary component of mental health and well-being. Monitoring changes in emotional state daily over extended periods is, however, difficult using traditional methodologies. Providing mental health support is also challenging when approximately only 1 in 2 people with mental health issues seek professional help. Mobile phone technology offers a sustainable means of enhancing self-management of emotional well-being.ObjectiveThis paper aims to describe the development of a mobile phone tool designed to monitor emotional changes in a natural everyday context and in real time.MethodsThis evidence-informed mobile phone app monitors emotional mental health and well-being, and it provides links to mental health organization websites and resources. The app obtains data via self-report psychological questionnaires, experience sampling methodology (ESM), and automated behavioral data collection.ResultsFeedback from 11 individuals (age range 16-52 years; 4 males, 7 females), who tested the app over 30 days, confirmed via survey and focus group methods that the app was functional and usable.ConclusionsRecommendations for future researchers and developers of mental health apps to be used for research are also presented. The methodology described in this paper offers a powerful tool for a range of potential mental health research studies and provides a valuable standard against which development of future mental health apps should be considered.
41
Jiang, Kewa. "Mental Health Mobile Apps and the Need to Update Federal Regulations to Protect Users." Michigan Technology Law Review, no. 28.2 (2022): 421. http://dx.doi.org/10.36645/mtlr.28.2.mental.
Full textAbstract:
With greater societal emphasis on the need for better mental health services coupled with COVID-19 limits, mental health mobile applications have significantly risen in variety, availability, and accessibility. As more consumers use mental health mobile applications, more data is generated and collected by mobile application companies. However, consumers may have the false assumption that the data collected is protected under HIPAA or have an expectation of privacy protection higher than current regulations afford. This Note examines HIPAA, Health Breach Notification Rule, and section 5 of the Federal Trade Commission Act, as well as how these regulations fall short of protecting the data and privacy of consumers who use mental health mobile apps. This Note then advocates for a preventative approach by Congress towards potential data breaches and protection of data from mental health mobile apps. Looking prospectively, the Note suggests how the gaps in consumer protection can be federally remedied.
42
Denecke, Kerstin, Nicole Schmid, and Stephan Nüssli. "Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review." Journal of Medical Internet Research 24, no. 3 (March 10, 2022): e27791. http://dx.doi.org/10.2196/27791.
Full textAbstract:
Background To address the matter of limited resources for treating individuals with mental disorders, e–mental health has gained interest in recent years. More specifically, mobile health (mHealth) apps have been suggested as electronic mental health interventions accompanied by cognitive behavioral therapy (CBT). Objective This study aims to identify the therapeutic aspects of CBT that have been implemented in existing mHealth apps and the technologies used. From these, we aim to derive research gaps that should be addressed in the future. Methods Three databases were screened for studies on mHealth apps in the context of mental disorders that implement techniques of CBT: PubMed, IEEE Xplore, and ACM Digital Library. The studies were independently selected by 2 reviewers, who then extracted data from the included studies. Data on CBT techniques and their technical implementation in mHealth apps were synthesized narratively. Results Of the 530 retrieved citations, 34 (6.4%) studies were included in this review. mHealth apps for CBT exploit two groups of technologies: technologies that implement CBT techniques for cognitive restructuring, behavioral activation, and problem solving (exposure is not yet realized in mHealth apps) and technologies that aim to increase user experience, adherence, and engagement. The synergy of these technologies enables patients to self-manage and self-monitor their mental state and access relevant information on their mental illness, which helps them cope with mental health problems and allows self-treatment. Conclusions There are CBT techniques that can be implemented in mHealth apps. Additional research is needed on the efficacy of the mHealth interventions and their side effects, including inequalities because of the digital divide, addictive internet behavior, lack of trust in mHealth, anonymity issues, risks and biases for user groups and social contexts, and ethical implications. Further research is also required to integrate and test psychological theories to improve the impact of mHealth and adherence to the e–mental health interventions.
43
Kenny, Rachel, Barbara Dooley, and Amanda Fitzgerald. "Developing mental health mobile apps: Exploring adolescents’ perspectives." Health Informatics Journal 22, no. 2 (November 10, 2014): 265–75. http://dx.doi.org/10.1177/1460458214555041.
Full text
44
Giota, Kyriaki G., and George Kleftaras. "Mental Health Apps: Innovations, Risks and Ethical Considerations." E-Health Telecommunication Systems and Networks 03, no. 03 (2014): 19–23. http://dx.doi.org/10.4236/etsn.2014.33003.
Full text
45
Neary, Martha, and Stephen M. Schueller. "State of the Field of Mental Health Apps." Cognitive and Behavioral Practice 25, no. 4 (November 2018): 531–37. http://dx.doi.org/10.1016/j.cbpra.2018.01.002.
Full text
46
Brownlow, Luke. "Targeting the Needs of Self-Determination Theory: An Overview of Mental Health Care Apps." European Journal of Mental Health 17, no. 1 (2022): 91–100. http://dx.doi.org/10.5708/ejmh/17.2022.1.8.
Full textAbstract:
Introduction: Smartphone apps are a highly accessible tool to supplement self-treatment for mental health challenges, such as depression, and are underrepresented in research. While many studies have performed content analyses of health apps, few studies have reviewed their adherence to behavior theory. Aims: The objective of this study is to assess mHealth depression apps through the lens of the Self-Determination Theory and identify if app functions target the three basic needs: autonomy, competence, and relatedness. Methods: All depression apps available from iTunes and Google Play that met inclusion criteria were analyzed (N = 194). Apps were reviewed for price options, store availability, download rates, and how functions targeted the three basic needs for intrinsic and sustained health behavior change outlined in the Self-Determination Theory. Results: Findings showed that most of the apps targeted at least one of the basic needs (158/194, 81.4%). However, only a few of these apps targeted all three basic needs to some degree (15/194, 7.7%), and no single app targeted all three basic needs fully. Furthermore, neither store availability, price option nor download rates were accurate predictors that apps targeted the three basic needs. Conclusions: The results suggest that some depression apps targeted autonomy, competence, and relatedness but this was limited to a small number of apps through few functions available in each app. People who want access to more functions targeting the needs would need to download a suite of apps.
47
Peters, Dorian, Mark Deady, Nick Glozier, Samuel Harvey, and Rafael A. Calvo. "Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study." JMIR Mental Health 5, no. 2 (April 25, 2018): e30. http://dx.doi.org/10.2196/mental.8999.
Full textAbstract:
Background Men are less likely to seek help for mental health problems, possibly because of stigma imposed by cultural masculine norms. These tendencies may be amplified within male-dominated workplaces such as the emergency services or transport industries. Mobile apps present a promising way to provide access to mental health support. However, little is known about the kinds of mental health technologies men would be willing to engage with, and no app can be effective if the intended users do not engage with it. Objective The goal of this participatory user research study was to explore the perceptions, preferences, and ideas of workers in male-dominated workplaces to define requirements for a mental health app that would be engaging and effective at improving psychological well-being. Methods Workers from male-dominated workplaces in rural, suburban, and urban locations took part in an exploratory qualitative study involving participatory workshops designed to elicit their perspectives and preferences for mental health support and the design of an app for mental health. Participants generated a number of artifacts (including draft screen designs and promotional material) designed to reify their perceptions, tacit knowledge, and ideas. Results A total of 60 workers aged between 26 and 65 years, 92% (55/60) male, from male-dominated workplaces in rural (16/60, 27%), suburban (14/60, 23%), and urban (30/60, 50%) locations participated in one of the 6 workshops, resulting in 49 unique feature ideas and 81 participant-generated artifacts. Thematic analysis resulted in a set of feature, language, and style preferences, as well as characteristics considered important by participants for a mental health app. The term “mental health” was highly stigmatized and disliked by participants. Tools including a mood tracker, self-assessment, and mood-fix tool were highly valued, and app characteristics such as brevity of interactions, minimal on-screen text, and a solutions-oriented approach were considered essential by participants. Some implementation strategies based on these findings are included in the discussion. Conclusions Future mental health mobile phone apps targeting workers in male-dominated workplaces need to consider language use and preferred features, as well as balance the preferences of users with the demands of evidence-based intervention. In addition to informing the development of mental health apps for workers in male-dominated industries, these findings may also provide insights for mental health technologies, for men in general, and for others in high-stigma environments.
48
Wu, Danny T. Y., Chen Xin, Shwetha Bindhu, Catherine Xu, Jyoti Sachdeva, Jennifer L. Brown, and Heekyoung Jung. "Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study." JMIR Formative Research 4, no. 8 (August 7, 2020): e18123. http://dx.doi.org/10.2196/18123.
Full textAbstract:
Background Patient-generated health data (PGHD) have been largely collected through mobile health (mHealth) apps and wearable devices. PGHD can be especially helpful in mental health, as patients’ illness history and symptom narratives are vital to developing diagnoses and treatment plans. However, the extent to which clinicians use mental health–related PGHD is unknown. Objective A mixed methods study was conducted to understand clinicians’ perspectives on PGHD and current mental health apps. This approach uses information gathered from semistructured interviews, workflow analysis, and user-written mental health app reviews to answer the following research questions: (1) What is the current workflow of mental health practice and how are PGHD integrated into this workflow, (2) what are clinicians’ perspectives on PGHD and how do they choose mobile apps for their patients, (3) and what are the features of current mobile apps in terms of interpreting and sharing PGHD? Methods The study consists of semistructured interviews with 12 psychiatrists and clinical psychologists from a large academic hospital. These interviews were thematically and qualitatively analyzed for common themes and workflow elements. User-posted reviews of 56 sleep and mood tracking apps were analyzed to understand app features in comparison with the information gathered from interviews. Results The results showed that PGHD have been part of the workflow, but its integration and use are not optimized. Mental health clinicians supported the use of PGHD but had concerns regarding data reliability and accuracy. They also identified challenges in selecting suitable apps for their patients. From the app review, it was discovered that mHealth apps had limited features to support personalization and collaborative care as well as data interpretation and sharing. Conclusions This study investigates clinicians’ perspectives on PGHD use and explored existing app features using the app review data in the mental health setting. A total of 3 design guidelines were generated: (1) improve data interpretation and sharing mechanisms, (2) consider clinical workflow and electronic health record integration, and (3) support personalized and collaborative care. More research is needed to demonstrate the best practices of PGHD use and to evaluate their effectiveness in improving patient outcomes.
49
Kenny, Rachel, Barbara Dooley, and Amanda Fitzgerald. "Feasibility of "CopeSmart": A Telemental Health App for Adolescents." JMIR Mental Health 2, no. 3 (August 10, 2015): e22. http://dx.doi.org/10.2196/mental.4370.
Full textAbstract:
Background Early intervention is important in order to improve mental health outcomes for young people. Given the recent rise in mobile phone ownership among adolescents, an innovative means of delivering such intervention is through the use of mobile phone applications (apps). Objective The aim of this study was to evaluate the feasibility of “CopeSmart”, a telemental health app developed to foster positive mental health in adolescents through emotional self-monitoring and the promotion of positive coping strategies. Methods Forty-three adolescents (88% female) aged 15-17 years downloaded the app and used it over a one-week period. They then completed self-report questionnaires containing both open-ended and closed-ended questions about their experiences of using the app. The app itself captured data related to user engagement. Results On average participants engaged with the app on 4 of the 7 days within the intervention period. Feedback from users was reasonably positive, with 70% of participants reporting that they would use the app again and 70% reporting that they would recommend it to a friend. Thematic analysis of qualitative data identified themes pertaining to users’ experiences of the app, which were both positive (eg, easy to use, attractive layout, emotional self-monitoring, helpful information, notifications, unique) and negative (eg, content issues, did not make user feel better, mood rating issues, password entry, interface issues, engagement issues, technical fixes). Conclusions Overall findings suggest that telemental health apps have potential as a feasible medium for promoting positive mental health, with the majority of young people identifying such technologies as at least somewhat useful and displaying a moderate level of engagement with them. Future research should aim to evaluate the efficacy of such technologies as tools for improving mental health outcomes in young people.
50
Smith, Arielle C., Lauren A. Fowler, Andrea K. Graham, Beth K. Jaworski, Marie-Laure Firebaugh, Grace E. Monterubio, Melissa M. Vázquez, et al. "Digital Overload among College Students: Implications for Mental Health App Use." Social Sciences 10, no. 8 (July 21, 2021): 279. http://dx.doi.org/10.3390/socsci10080279.
Full textAbstract:
Mental health phone applications (apps) provide cost-effective, easily accessible support for college students, yet long-term engagement is often low. Digital overload, defined as information burden from technological devices, may contribute to disengagement from mental health apps. This study aimed to explore the influence of digital overload and phone use preferences on mental health app use among college students, with the goal of informing how notifications could be designed to improve engagement in mental health apps for this population. A semi-structured interview guide was developed to collect quantitative data on phone use and notifications as well as qualitative data on digital overload and preferences for notifications and phone use. Interview transcripts from 12 college students were analyzed using thematic analysis. Participants had high daily phone use and received large quantities of notifications. They employed organization and management strategies to filter information and mitigate the negative effects of digital overload. Digital overload was not cited as a primary barrier to mental health app engagement, but participants ignored notifications for other reasons. Findings suggest that adding notifications to mental health apps may not substantially improve engagement unless additional factors are considered, such as users’ motivation and preferences.