scholarly journals Acceptance and Expectations of Medical Experts, Students, and Patients Toward Electronic Mental Health Apps: Cross-Sectional Quantitative and Qualitative Survey Study (Preprint)

2019 ◽  
Author(s):  
Gwendolyn Mayer ◽  
Nadine Gronewold ◽  
Simone Alvarez ◽  
Bastian Bruns ◽  
Thomas Hilbel ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Security ◽  
Survey Study ◽  
Professional Experience ◽  
Total Risk ◽  
Multiple Choice Questions ◽  
Future Expectations ◽  
Cross Sectional ◽  
Health Apps ◽  
Qualitative Survey

BACKGROUND The acceptability of electronic mental (e-mental) health apps has already been studied. However, the attitudes of medical experts, students, and patients taking into account their knowledge of and previous experiences with e-mental health apps have not been investigated. OBJECTIVE The aim of this study was to explore the attitudes, expectations, and concerns of medical experts, including physicians, psychotherapists and nursing staff, students of medicine or psychology, and patients toward e-mental health apps when considering their knowledge of and former experiences with e-mental health apps. METHODS This cross-sectional quantitative and qualitative survey was based on a self-developed questionnaire. A total of 269 participants were included (104 experts, 80 students, and 85 patients), and 124 eligible participants answered a paper version and 145 answered an identical online version of the questionnaire. The measures focused on existing knowledge of and experiences with e-mental health apps, followed by a question on whether electronic health development was generally accepted or disliked. Further, we asked about the expectations for an ideal e-mental health app and possible concerns felt by the participants. All items were either presented on a 5-point Likert scale or as multiple-choice questions. Additionally, 4 items were presented as open text fields. RESULTS Although 33.7% (35/104) of the experts, 15.0% (12/80) of the students, and 41.2% (35/85) of the patients knew at least one e-mental health app, few had already tried one (9/104 experts [8.7%], 1/80 students [1.3%], 22/85 patients [25.9%]). There were more advocates than skeptics in each group (advocates: 71/104 experts [68.3%], 50/80 students [62.5%], 46/85 patients [54.1%]; skeptics: 31/104 experts [29.8%], 20/80 students [25.0%], 26/85 patients [30.6%]). The experts, in particular, believed, that e-mental health apps will gain importance in the future (mean 1.08, SD 0.68; 95% CI 0.94-1.21). When asked about potential risks, all groups reported slight concerns regarding data security (mean 0.85, SD 1.09; 95% CI 0.72-0.98). Patient age was associated with several attitudes toward e-mental health apps (future expectations: r=–0.31, <italic>P</italic>=.005; total risk score: r=0.22, <italic>P</italic>=.05). Attitudes toward e-mental health apps correlated negatively with the professional experience of the experts (r<sub>s</sub>(94)=–0.23, <italic>P</italic>=.03). CONCLUSIONS As opposed to patients, medical experts and students lack knowledge of and experience with e-mental health apps. If present, the experiences were assessed positively. However, experts show a more open-minded attitude with less fear of risks. Although some risks were perceived regarding data security, the attitudes and expectations of all groups were rather positive. Older patients and medical experts with long professional experience tend to express more skepticism. CLINICALTRIAL German Clinical Trials Register DRKS00013095; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&amp;TRIAL_ID=DRKS00013095

scholarly journals Acceptance and Expectations of Medical Experts, Students, and Patients Toward Electronic Mental Health Apps: Cross-Sectional Quantitative and Qualitative Survey Study

10.2196/14018 ◽  
2019 ◽  
Vol 6 (11) ◽  
pp. e14018 ◽  
Author(s):  
Gwendolyn Mayer ◽  
Nadine Gronewold ◽  
Simone Alvarez ◽  
Bastian Bruns ◽  
Thomas Hilbel ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Security ◽  
Survey Study ◽  
Professional Experience ◽  
Total Risk ◽  
Multiple Choice Questions ◽  
Future Expectations ◽  
Cross Sectional ◽  
Health Apps ◽  
Qualitative Survey

Background The acceptability of electronic mental (e-mental) health apps has already been studied. However, the attitudes of medical experts, students, and patients taking into account their knowledge of and previous experiences with e-mental health apps have not been investigated. Objective The aim of this study was to explore the attitudes, expectations, and concerns of medical experts, including physicians, psychotherapists and nursing staff, students of medicine or psychology, and patients toward e-mental health apps when considering their knowledge of and former experiences with e-mental health apps. Methods This cross-sectional quantitative and qualitative survey was based on a self-developed questionnaire. A total of 269 participants were included (104 experts, 80 students, and 85 patients), and 124 eligible participants answered a paper version and 145 answered an identical online version of the questionnaire. The measures focused on existing knowledge of and experiences with e-mental health apps, followed by a question on whether electronic health development was generally accepted or disliked. Further, we asked about the expectations for an ideal e-mental health app and possible concerns felt by the participants. All items were either presented on a 5-point Likert scale or as multiple-choice questions. Additionally, 4 items were presented as open text fields. Results Although 33.7% (35/104) of the experts, 15.0% (12/80) of the students, and 41.2% (35/85) of the patients knew at least one e-mental health app, few had already tried one (9/104 experts [8.7%], 1/80 students [1.3%], 22/85 patients [25.9%]). There were more advocates than skeptics in each group (advocates: 71/104 experts [68.3%], 50/80 students [62.5%], 46/85 patients [54.1%]; skeptics: 31/104 experts [29.8%], 20/80 students [25.0%], 26/85 patients [30.6%]). The experts, in particular, believed, that e-mental health apps will gain importance in the future (mean 1.08, SD 0.68; 95% CI 0.94-1.21). When asked about potential risks, all groups reported slight concerns regarding data security (mean 0.85, SD 1.09; 95% CI 0.72-0.98). Patient age was associated with several attitudes toward e-mental health apps (future expectations: r=–0.31, P=.005; total risk score: r=0.22, P=.05). Attitudes toward e-mental health apps correlated negatively with the professional experience of the experts (rs(94)=–0.23, P=.03). Conclusions As opposed to patients, medical experts and students lack knowledge of and experience with e-mental health apps. If present, the experiences were assessed positively. However, experts show a more open-minded attitude with less fear of risks. Although some risks were perceived regarding data security, the attitudes and expectations of all groups were rather positive. Older patients and medical experts with long professional experience tend to express more skepticism. Trial Registration German Clinical Trials Register DRKS00013095; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00013095

scholarly journals Self-guided cognitive behavioral therapy apps: Can they help? Systematic assessment of features, functionality, and congruence with evidence (Preprint)

2021 ◽  
Author(s):  
Laura Martinengo ◽  
Anne-Claire Stona ◽  
Konstadina Griva ◽  
Paola Dazzan ◽  
Carmine Maria Pariante ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Management ◽  
Data Security ◽  
Suicide Risk ◽  
Behavioral Therapy ◽  
Cognitive Restructuring ◽  
Evidence Based ◽  
Inclusion Criteria ◽  
Systematic Assessment ◽  
Health Apps

BACKGROUND Mental health disorders affect one in ten people globally, of which around 300 million are affected by depression. At least half of affected people remain untreated. Cognitive behavioral therapy (CBT) is an effective treatment but access to specialized providers, habitually challenging, has worsened with COVID-19. Internet-based CBT (iCBT) is effective and a feasible strategy to increase access to treatment for people with depression. Mental health apps may further assist in facilitating self-management for people affected by depression but accessing the right app might be cumbersome given the large number and wide variety of apps offered by public app marketplaces. OBJECTIVE To systematically assess features, functionality, data security and congruence with evidence of self-guided CBT-based apps available in major app stores, suitable for users suffering from depression. METHODS A systematic assessment of self-guided CBT-based apps available in Google Play and Apple’s App Store was conducted. Apps launched or updated since August 2018 were identified through a systematic search in 42matters using CBT-related terms. Apps meeting inclusion criteria were downloaded and assessed using a Samsung Galaxy J7 Pro (Android 9) and iPhone 7 (iOS 13.3.1). Apps were appraised using a 182-question checklist developed by the research team, comprising apps’ general characteristics, CBT-related features, including six evidence-based CBT techniques as informed by a CBT manual, CBT competences framework and a literature review of iCBT clinical trial protocols (psychoeducation, behavioral activation, cognitive restructuring, problem solving, relaxation, and exposure for comorbid anxiety), and technical aspects and quality assurance. Results were reported as a narrative review, using descriptive statistics. RESULTS The initial search yielded 3006 apps, of which 98 apps met inclusion criteria and were systematically assessed. There were 20 wellbeing apps, 65 mental health apps and 13 depression apps. Twenty-eight apps offered at least four evidence-based CBT techniques, particularly depression apps. Cognitive restructuring was the most common technique, offered by 77/98 apps. Only a third of apps offered suicide- risk management resources while less than 20% of apps offered COVID-19-related information. Most apps included a privacy policy, but only a third of apps presented it before account creation. Eighty percent of privacy policies stated sharing data with third party service providers. Half of app development teams included academic institutions or healthcare providers. CONCLUSIONS Only few self-guided CBT-based apps offer comprehensive CBT programs or suicide risk management resources. Sharing of users’ data is widespread, highlighting shortcomings in the health app market governance. To fulfill their potential, self-guided CBT-based apps should follow evidence-based clinical guidelines, be patient-centered and enhance users’ data security. CLINICALTRIAL NA

scholarly journals Impact of the COVID-19 Pandemic on the Psychological Distress of Medical Students in Japan: Cross-sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Yoshito Nishimura ◽  
Kanako Ochi ◽  
Kazuki Tokumasu ◽  
Mikako Obika ◽  
Hideharu Hagiya ◽  
...  
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
Online Education ◽  
Cross Sectional Study ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
State Of Emergency ◽  
Web Based ◽  
Subjective Mental Health

BACKGROUND The COVID-19 pandemic has negatively affected medical education. However, little data are available about medical students’ distress during the pandemic. OBJECTIVE This study aimed to provide details on how medical students have been affected by the pandemic. METHODS A cross-sectional study was conducted. A total of 717 medical students participated in the web-based survey. The survey included questions about how the participants’ mental status had changed from before to after the Japanese nationwide state of emergency (SOE). RESULTS Out of 717 medical students, 473 (66.0%) participated in the study. In total, 29.8% (141/473) of the students reported concerns about the shift toward online education, mostly because they thought online education would be ineffective compared with in-person learning. The participants’ subjective mental health status significantly worsened after the SOE was lifted (<i>P</i>&lt;.001). Those who had concerns about a shift toward online education had higher odds of having generalized anxiety and being depressed (odds ratio [OR] 1.97, 95% CI 1.19-3.28) as did those who said they would request food aid (OR 1.99, 95% CI 1.16-3.44) and mental health care resources (OR 3.56, 95% CI 2.07-6.15). CONCLUSIONS Given our findings, the sudden shift to online education might have overwhelmed medical students. Thus, we recommend that educators inform learners that online learning is not inferior to in-person learning, which could attenuate potential depression and anxiety.

scholarly journals Residency training amid the COVID-19 pandemic: exploring the impact on mental health and training, a lesson from Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ashraf Moini ◽  
Khadije Maajani ◽  
Ramesh Omranipour ◽  
Mohamad-Reza Zafarghandi ◽  
Ashraf Aleyasin ◽  
...  
Keyword(s):  
Mental Health ◽  
Residency Training ◽  
General Surgery ◽  
Negative Impact ◽  
Care Delivery ◽  
Cross Sectional Study ◽  
Multiple Choice Questions ◽  
Cross Sectional ◽  
Questions And Answers ◽  
The Impact

Abstract Background COVID-19 has affected the training programs and the clinical schedules of surgical wards in many countries, including Iran. Also, the continuous involvement with COVID-19 patients has caused stress in health care workers; among them, residents are on the frontlines of care delivery. Therefore, we designed a study to assess the mental effects of these circumstances, and the effects on General Surgery and Obstetrics & Gynecology residency training in the busiest surgical departments of our university. Methods Participants of this cross-sectional study were residents of General Surgery and Obstetrics & Gynecology of Tehran University of Medical Sciences, and the conventional sampling method was used. We used a questionnaire consisting of 47 questions (mostly using multiple choice questions and answers on the Likert scale) about personal, familial, and demographic characteristics; training activities, and mental effects of COVID-19. Results The response rate was 63.5%. (127 filled questionnaires). Around 96% of the residents had emotional problems, 85.9% were highly stressed about contracting COVID-19, 81.3% were worried about transferring it to their families; and 78% believed that their residency training had been impaired. Conclusion Overall, our study shows the negative impact of COVID-19 on mental health and the training of residents. We propose that appropriate emotional support and suitable planning for compensation of training deficits is provided for residents.

scholarly journals Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

2017 ◽  
Vol 4 (4) ◽  
pp. e45 ◽  
Author(s):  
Benjamin T Crookston ◽  
Joshua H West ◽  
P Cougar Hall ◽  
Kaitana Martinez Dahle ◽  
Thomas L Heaton ◽  
...  
Keyword(s):  
Mental Health ◽  
Behavior Change ◽  
Health Behaviors ◽  
Emotional Health ◽  
Actual Behavior ◽  
Cross Sectional ◽  
Health Apps ◽  
Self Help ◽  
And Behavior ◽  
The Impact

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.

scholarly journals Healthcare Workers’ Attitudes toward Patients with COVID-19

2021 ◽  
Author(s):  
Joseph Ottolenghi ◽  
Rodney A McLaren ◽  
Cecilia Bahamon ◽  
Mudar Dalloul ◽  
Sandra McCalla ◽  
...  
Keyword(s):  
New York ◽  
Registered Nurses ◽  
Healthcare Workers ◽  
Survey Study ◽  
Protective Equipment ◽  
Risk Of Infection ◽  
Demographic Information ◽  
Multiple Choice Questions ◽  
Cross Sectional ◽  
Exact Test

Abstract Background Early in the SARS-CoV-2 pandemic, before the routine availability and/or use of personal protective equipment, healthcare workers were understandably concerned. Our aim was to explore healthcare workers’ attitudes towards patients infected with SARS-CoV-2 at the time of the nation’s first surge in two highly affected hospitals in New York. Methods We performed a cross-sectional, self-administered survey study of healthcare workers. The survey consisted of 17 multiple-choice questions including demographic information, ethics and willingness to care for patients with SARS-CoV-2 infection. Subgroup analyses were performed using Fisher’s exact test. Results Of 340 healthcare workers approached, 338 (99.4%) consented to the survey; 163 (48.7%) were registered nurses and 160 (48.3%) lived with children. While 326 (97.3%) workers were concerned about putting their family/coworkers at risk of infection after caring for a patient with SARS-CoV-2, only 30 (8.9%) were unwilling to treat a patient with SARS-CoV-2 infection. Registered nurses were more likely than other healthcare workers to think it was ethical to refuse care for SARS-CoV-2 infected patients, worried more often about contracting infection, and felt that SARS-CoV-2 added to their stress level (p=.009, p=.018, p&lt;.001, respectively). A similar contrast was seen when comparing workers who live with children with those that did not. Conclusion Levels of stress and concern were extremely high. In spite of that, the overwhelming majority of workers were willing to treat patients with SARS-CoV-2 infection. Registered nurses and healthcare workers who live with children were more likely to think it is ethical to refuse care for SARS-CoV-2 infected patients.

scholarly journals Impact of Junk food on Physical and Mental health of the Youngsters in Bhopal city - A Cross Sectional Survey Study

2020 ◽  
Vol 11 (2) ◽  
pp. 184-192
Author(s):  
Ravi Verma ◽  
Charu Bansal ◽  
Trupti Jain
Keyword(s):  
Mental Health ◽  
Statistical Tests ◽  
Sampling Technique ◽  
Survey Study ◽  
P Value ◽  
Junk Food ◽  
Health Consequences ◽  
Physical And Mental Health ◽  
Cross Sectional Survey ◽  
Cross Sectional

Background- Ayurveda has given a unique concept of Viruddha Ahara. Junk food an energy-dense food could be consider as Viruddha Ahara because of its serious physical and mental health consequences. Aim - Find out the frequency of consumption of Junk food preparation and their effects on Physical & Mental health in the youngsters of Bhopal city with special reference to Viruddha Ahara. Study Design- was Observational cross sectional study. Material and Method- Modified Questionnaire based on WHO STEPS1, 2 and 3 guidelines was used to collect the data. 600 youngsters of age group between 12-25 years from various schools and colleges of Bhopal city were selected by stratified random sampling technique and Statistical Analysis was done with epi infoTM version 7 software. Appropriate statistical tests were applied such as frequency distribution, cross tabulation (M x N/ 2 x 2 Table), chi square test, z statistics and logistic regression analysis. Odds ratios (OR) with 95% confidence intervals (C.I) and p-value (significant <0.05) were also calculated as per need. Result- It was observed that all subjects were consuming different kinds of junk food with high mean frequency that was 3.28 days per week.  Maximum youngsters were suffering from various physical and mental health consequences like 80.83% subjects were suffering from nutritional problem, 73.50% skin problems, 73.33 % GIT problems and 58.67% had anxiety disorder and 38.50% had recognised with mood disorder. Conclusion: The result of the survey study indicating that serious health consequences are developing in youngsters by consumption of viruddha ahara (Junk Food) and that could be converted them in chronic disease patients in near future.

scholarly journals Mental Health Burden in Different Professions During the Final Stage of the COVID-19 Lockdown in China: Cross-sectional Survey Study

10.2196/24240 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e24240
Author(s):  
Junfeng Du ◽  
Gwendolyn Mayer ◽  
Svenja Hummel ◽  
Neele Oetjen ◽  
Nadine Gronewold ◽  
...  
Keyword(s):  
Mental Health ◽  
Coping Strategies ◽  
Medical Staff ◽  
Observational Studies ◽  
Survey Study ◽  
Vulnerable Groups ◽  
Cross Sectional ◽  
Stress Scale ◽  
Health Burden ◽  
Care Workers

Background COVID-19 resulted in considerable mental health burden in the Chinese general population and among health care workers at the beginning and peak of the pandemic. However, little is known about potentially vulnerable groups during the final stage of the lockdown. Objective The aim of this survey study was to assess the mental health burden of different professions in China in order to find vulnerable groups, possible influencing factors, and successful ways of coping during the last 4 weeks of the lockdown in Hubei Province. Methods A cross-sectional online survey asked participants about current residence, daily working hours, exposure to COVID-19 at work, and media preferences. We used a shortened version of the Depression, Anxiety and Stress Scale (DASS-21) to assess mental health. Further assessments included perceived stress (Simplified Chinese version of the 14-item Perceived Stress Scale), coping strategies for all participants, and specific stressors for health care workers. We followed the reporting guidelines of the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) statement for observational studies. Results The sample (N=687) consisted of 158 doctors, 221 nurses, 24 other medical staff, 43 students, 60 teachers/government staff, 135 economy staff, 26 workers/farmers, and 20 professions designated under the “other” category. We found increased depression (n=123, 17.9%), anxiety (n=208, 30.3%), and stress (n=94, 13.7%) in our sample. Professions that were vulnerable to depression were other medical staff and students. Doctors, nurses, and students were vulnerable to anxiety; and other medical staff, students, and economy staff were vulnerable to stress. Coping strategies were reduced to three factors: active, mental, and emotional. Being female and emotional coping were independently associated with depression, anxiety, or stress. Applying active coping strategies showed lower odds for anxiety while mental coping strategies showed lower odds for depression, anxiety, and stress. Age, being inside a lockdown area, exposure to COVID-19 at work, and having a high workload (8-12 hours per day) were not associated with depression, anxiety, or stress. WeChat was the preferred way of staying informed across all groups. Conclusions By the end of the lockdown, a considerable part of the Chinese population showed increased levels of depression and anxiety. Students and other medical staff were the most affected, while economy staff were highly stressed. Doctors and nurses need support regarding potential anxiety disorders. Future work should focus on longitudinal results of the pandemic and develop targeted preventive measures.

scholarly journals Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement

10.2196/11334 ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. e11334 ◽  
Author(s):  
Jessica Lipschitz ◽  
Christopher J Miller ◽  
Timothy P Hogan ◽  
Katherine E Burdick ◽  
Rachel Lippin-Foster ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mobile Apps ◽  
Mental Illnesses ◽  
Survey Study ◽  
Mental Health Provider ◽  
Depression And Anxiety ◽  
Health Administration ◽  
Cross Sectional Survey ◽  
Cross Sectional

Background Emerging research suggests that mobile apps can be used to effectively treat common mental illnesses like depression and anxiety. Despite promising efficacy results and ease of access to these interventions, adoption of mobile health (mHealth; mobile device–delivered) interventions for mental illness has been limited. More insight into patients’ perspectives on mHealth interventions is required to create effective implementation strategies and to adapt existing interventions to facilitate higher rates of adoption. Objective The aim of this study was to examine, from the patient perspective, current use and factors that may impact the use of mHealth interventions for mental illness. Methods This was a cross-sectional survey study of veterans who had attended an appointment at a single Veterans Health Administration facility in early 2016 that was associated with one of the following mental health concerns: unipolar depression, any anxiety disorder, or posttraumatic stress disorder. We used the Veteran Affairs Corporate Data Warehouse to create subsets of eligible participants demographically stratified by gender (male or female) and minority status (white or nonwhite). From each subset, 100 participants were selected at random and mailed a paper survey with items addressing the demographics, overall health, mental health, technology ownership or use, interest in mobile app interventions for mental illness, reasons for use or nonuse, and interest in specific features of mobile apps for mental illness. Results Of the 400 potential participants, 149 (37.3%, 149/400) completed and returned a survey. Most participants (79.9%, 119/149) reported that they owned a smart device and that they use apps in general (71.1%, 106/149). Most participants (73.1%, 87/149) reported interest in using an app for mental illness, but only 10.7% (16/149) had done so. Paired samples t tests indicated that ratings of interest in using an app recommended by a clinician were significantly greater than general interest ratings and even greater when the recommending clinician was a specialty mental health provider. The most frequent concerns related to using an app for mental illness were lacking proof of efficacy (71.8%, 107/149), concerns about data privacy (59.1%, 88/149), and not knowing where to find such an app (51.0%, 76/149). Participants expressed interest in a number of app features with particularly high-interest ratings for context-sensitive apps (85.2%, 127/149), and apps focused on the following areas: increasing exercise (75.8%, 113/149), improving sleep (73.2%, 109/149), changing negative thinking (70.5%, 105/149), and increasing involvement in activities (67.1%, 100/149). Conclusions Most respondents had access to devices to use mobile apps for mental illness, already used apps for other purposes, and were interested in mobile apps for mental illness. Key factors that may improve adoption include provider endorsement, greater publicity of efficacious apps, and clear messaging about efficacy and privacy of information. Finally, multifaceted apps that address a range of concerns, from sleep to negative thought patterns, may be best received.

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