ReviewJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2018
Smartphone Applications to Support Sleep Self-Management: Review and Evaluation.
Review in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05090995 (A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep), which is not on this map. Cited by 75 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep
Who cites it
75 citing papers in PubMed, 7 syntheses or guidelines pooled it, 157 citations in OpenAlex.
- Exploring the Role of Mobile Apps for Insomnia in Depression: Systematic Review.Journal of medical Internet research · 2024Pooled it
- [Apps for tinnitus? A systematic review on quality, intervention components, and behavior change techniques].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Pooled it
- A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities.International journal of environmental research and public health · 2022Pooled it
- Prevalence of Sleep Disturbance in Patients With Cancer: A Systematic Review and Meta-Analysis.Clinical nursing research · 2022Pooled it
- Sleep disturbances during the COVID-19 pandemic: A systematic review, meta-analysis, and meta-regression.Sleep medicine reviews · 2022Pooled it
- Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled 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
- The effect of the Yara smartphone application on anxiety, sleep quality, and suicidal thoughts in patients with major depressive disorder in Iran: a randomized controlled trial.BMC psychiatry · 2024Trial
- Daytime Napping Benefits Passing Performance and Scanning Activity in Elite Soccer Players.Journal of sports science & medicine · 2023Trial
- Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.JAMA neurology · 2020Trial
- Efficacy of a Theory-Based Cognitive Behavioral Technique App-Based Intervention for Patients With Insomnia: Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- Quality and Functional Breadth of Publicly Available Mobile Apps Supporting Self-Management After Kidney Transplantation: Cross-Sectional App Store Evaluation.JMIR formative research · 2026Article
- Influence of Sleep Monitoring Terminal Displays-Related Factors on User Visual Perception via Eye-Tracking and Tasks.Journal of eye movement research · 2026Article
- Uncovering Sleep Behaviour in Women's Football: What Evidence Do We Have?Sports medicine (Auckland, N.Z.) · 2026Review
- Smartphone-Based Grading and Rehabilitation in Patients With Facial Palsy Using Computer Vision: Prospective Validation Study.JMIR rehabilitation and assistive technologies · 2026Article
- Screen exposure and circadian disruption in paediatric epilepsy: risks and technology-based approaches - a literature review.Postepy psychiatrii neurologii · 2026Review
- Sleep in the age of technology: the use of sleep apps and perceived impact on sleep and sleep habits.Frontiers in psychology · 2026Article
- An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study.JMIR formative research · 2025Article
- Development of a Mobile App (iCANSleep) to Treat Insomnia in Cancer Survivors: User-Centered Design Study.JMIR cancer · 2025Article
- Evolving trends in novel sleep tracking and sleep testing technology publications between 2020 and 2022.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Review
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
STUDY
objectivesMobile health (mHealth) tools such as smartphone applications (apps) have potential to support sleep self-management. The objective of this review was to identify the status of available consumer mHealth apps targeted toward supporting sleep self-management and assess their functionalities.
methodsWe searched four mobile app stores (iTunes Appstore, Android Google Play, Amazon Appstore, and Microsoft Appstore) using the terms "sleep", "sleep management," "sleep monitoring," and "sleep tracking." Apps were evaluated using the Mobile Application Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality scores.
resultsWe identified 2,431 potentially relevant apps, of which 73 met inclusion criteria. Most apps were excluded because they were unrelated to sleep self-management, simply provided alarm service, or solely played relaxation sounds in an attempt to improve sleep. The median overall MARS score was 3.1 out of 5, and more than half of apps (42/73, 58%) had a minimum acceptability score of 3.0. The apps had on average 7 functions based on the IMS functionality criteria (range 2 to 11). A record function was present in all apps but only eight had the function to intervene. About half of the apps (33/73, 45%) collected data automatically using embedded sensors, 27 apps allowed the user to manually enter sleep data, and 14 apps supported both types of data recording.
conclusionsThe findings suggest that few apps meet prespecified criteria for quality, content, and functionality for sleep self-management. Despite the rapid evolution of sleep self-management apps, lack of validation studies is a significant concern that limits the clinical value of these apps.
Indexed as
Identifiers
What OpenQuestion holds
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.