ArticleJMIR mental health2019
Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study.
Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis.Journal of medical Internet research · 2020Pooled it
- Sleep in the age of technology: the use of sleep apps and perceived impact on sleep and sleep habits.Frontiers in psychology · 2026Article
- Personalised care, youth mental health, and digital technology: A value sensitive design perspective and framework.Ethics and information technology · 2025Article
- Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults.NPJ digital medicine · 2024Article
- Exploring the Impact of a Sleep App on Sleep Quality in a General Population Sample: Pilot Randomized Controlled Trial.JMIR formative research · 2024Article
- Leveraging Natural Language Processing to Evaluate Young Adults' User Experiences with a Digital Sleep Intervention for Alcohol Use.Research square · 2024Article
- Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- [Transparency and Efficiency through Digital Healthcare? Results of a Survey of Generation Y].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024Article
- Patient perspectives on facilitators and barriers to equitable engagement with digital CBT-I.Sleep health · 2023Article
- Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence.Sensors (Basel, Switzerland) · 2022Article
- A scoping review of mobile apps for sleep management: User needs and design considerations.Frontiers in psychiatry · 2022Article
- Understanding users' perspectives on mobile apps for anxiety management.Frontiers in digital health · 2022Article
- The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States.International journal of environmental research and public health · 2021Observational
- Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- What do users think about Virtual Reality relaxation applications? A mixed methods study of online user reviews using natural language processing.Internet interventions · 2021Article
- User Perceptions of Virtual Hospital Apps in China: Systematic Search.JMIR mHealth and uHealth · 2020Article
- Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies.Current opinion in biomedical engineering · 2019Article
- Mobile app for personalized sleep-wake management for shift workers: A user testing trial.Digital healthArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) apps demonstrate promise for improving sleep at scale. End-user engagement is a prerequisite for sustained use and effectiveness.
objectiveWe assessed the needs and preferences of those with poor sleep and insomnia to inform the development of an engaging sleep app.
methodsWe triangulated results from qualitative (focus groups and app reviews) and quantitative (online survey) approaches. A total of 2 focus groups were conducted (N=9). An online survey tested themes identified from the focus groups against a larger population (N=167). In addition, we analyzed 434 user reviews of 6 mobile apps available on app stores.
resultsCommon focus group themes included the need to account for diverse sleep phenotypes with an adaptive and tailored program, key app features (alarms and sleep diaries), the complex yet condescending nature of existing resources, providing rationale for information requested, and cost as a motivator. Most survey participants (156/167, 93%) would try an evidence-based sleep app. The most important app features reported were sleep diaries (148/167, 88%), sharing sleep data with a doctor (116/167, 70%), and lifestyle tracking (107/167, 64%). App reviews highlighted the alarm as the most salient app feature (43/122, 35%) and data synchronization with a wearable device (WD) as the most commonly mentioned functionality (40/135, 30%).
conclusionsThis co-design process involving end users through 3 methods consistently highlighted sleep tracking (through a diary and WD), alarms, and personalization as vital for engagement, although their implementation was commonly criticized in review. Engagement is negatively affected by poorly designed features, bugs, and didactic information which must be addressed. Other needs depend upon the type of user, for example, those with severe insomnia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.