Reference health
An App a Day Will (Probably Not) Keep the Doctor Away: An Evidence Audit of Health and Medical Apps Available on the Apple App Store
68/68 checkable references clean · checked 2026-09-05
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
37 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 68 checked references that resolve
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“A good little tool to get to know yourself a bit better”: a qualitative study on users’ experiences of app-supported menstrual tracking in Europe
resolves10.2196/12390
Why Reviewing Apps Is Not Enough: Transparency for Trust (T4T) Principles of Responsible Health App Marketplaces
resolves10.1016/j.ijmedinf.2018.08.003
How standards and user involvement can improve app quality: A lifecycle approach
resolves10.1377/hlthaff.2023.00384
Studies Of Prescription Digital Therapeutics Often Lack Rigor And Inclusivity
resolves10.7326/M17-2715
U.S. Food and Drug Administration Precertification Pilot Program for Digital Health Software: Weighing the Benefits and Risks
resolves10.1136/bmjopen-2018-022969
Digital health app development standards: a systematic review protocol
resolves10.2196/42415
Stress Management Apps: Systematic Search and Multidimensional Assessment of Quality and Characteristics
resolves10.1108/JSIT-07-2015-0061
Software-as-a-Medical Device: demystifying Connected Health regulations
resolves10.1097/PRS.0b013e318219c171
The Levels of Evidence and Their Role in Evidence-Based Medicine
resolves10.1111/jpm.12744
User perceptions of mobile digital apps for mental health: Acceptability and usability ‐ An integrative review
resolves10.21037/mhealth.2018.03.02
Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps
resolves10.1177/1460458219884195
Is there an app for that? A cluster randomised controlled trial of a mobile app–based mental health intervention
resolves10.1007/s11019-023-10146-y
'You have to put a lot of trust in me': autonomy, trust, and trustworthiness in the context of mobile apps for mental health
resolves10.1016/j.ijlp.2019.04.002
How private is your mental health app data? An empirical study of mental health app privacy policies and practices
resolves10.2196/mhealth.6020
Quantifying App Store Dynamics: Longitudinal Tracking of Mental Health Apps
resolves10.1371/journal.pone.0154248
A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
resolves10.1016/j.socscimed.2015.04.004
‘It's like having a physician in your pocket!’ A critical analysis of self-diagnosis smartphone apps
resolves10.2196/10141
Discovery of and Interest in Health Apps Among Those With Mental Health Needs: Survey and Focus Group Study
resolves10.1111/acps.13306
Assessing mental health apps marketplaces with objective metrics from 29,190 data points from 278 apps
resolves10.1093/jamia/ocz175
Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review
resolves10.1136/bmjopen-2017-018280
Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis
resolves10.1186/s12905-023-02612-9
A systematic review of menopause apps with an emphasis on osteoporosis
resolves10.2196/53262
mHealth Apps for the Self-Management of Low Back Pain: Systematic Search in App Stores and Content Analysis
resolves10.1136/eb-2012-100885
Medical apps for smartphones: lack of evidence undermines quality and safety
resolves10.1186/1741-7015-12-29
Do smartphone applications in healthcare require a governance and legal framework? It depends on the application!
resolves10.1177/1090198112452126
Apps of Steel: Are Exercise Apps Providing Consumers With Realistic Expectations?
resolves10.1377/hlthaff.2018.05081
Top-Funded Digital Health Companies And Their Impact On High-Burden, High-Cost Conditions
resolves10.1136/ebmental-2018-300069
Understanding the quality, effectiveness and attributes of top-rated smartphone health apps
resolves10.1177/2055207619878069
Stakeholder perspectives on evidence for digital mental health interventions: Implications for accreditation systems
resolves10.2196/24824
The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking
resolves10.3109/03091902.2015.1088087
Standalone medical device software: The evolving regulatory framework
resolves10.1038/s42256-021-00331-0
Direct-to-consumer medical machine learning and artificial intelligence applications
resolves10.2196/17046
Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review
resolves10.1177/2055207617701342
Do health apps need endorsement? Challenges for giving advice about which health apps are safe and effective to use
resolves10.1177/1357633X16673538
Evaluating mobile phone applications for health behaviour change: A systematic review
resolves10.1016/S0140-6736(18)33129-5
What is an appropriate level of evidence for a digital health intervention?
resolves10.1071/AH18064
Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management
resolves10.18332/popmed/165233
How to evaluate health and medical apps in public health - what are alternatives to randomized controlled trials?
resolves10.2196/16741
Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries
resolves10.2196/45143
Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis
resolves10.24989/dp.v1i2.1816
Development of a Multidimensional App-Quality Assessment Tool for Health-Related Apps (AQUA)
resolves10.2196/mhealth.3422
Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps
resolves10.1111/nin.12333
What makes a good health ‘app’? Identifying the strengths and limitations of existing mobile application evaluation tools
resolves10.1002/wps.20592
Towards a consensus around standards for smartphone apps and digital mental health
resolves10.2196/13057
Standards for Mobile Health–Related Apps: Systematic Review and Development of a Guide
resolves10.1186/s12916-015-0444-y
Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment
resolves10.1017/S0266462320000288
Development of a health technology assessment module for evaluating mobile medical applications
resolves10.2196/jmir.6.3.e35
Tackling Publication Bias and Selective Reporting in Health Informatics Research: Register your eHealth Trials in the International eHealth Studies Registry
resolves10.1001/jamapsychiatry.2017.0262
Needed Innovation in Digital Health and Smartphone Applications for Mental Health
The 37 references without a DOI — listed, not checked
no DOI — not checkedCan Apple and Google continue as health app gatekeepers as well as distributors and developers? npj
no DOI — not checkedWhich app should I use?
no DOI — not checkedPrescribable mHealth apps identified from an overview of systematic reviews
no DOI — not checkedHealth app policy: international comparison of nine countries' approaches
no DOI — not checkedA Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality
no DOI — not checkedPopular evidence-based commercial mental health apps: analysis of engagement, functionality, aesthetics, and information quality
no DOI — not checkedAugmenting Mental Health in Primary Care: A 1-Year Study of Deploying Smartphone Apps in a Multi-site Primary Care/Behavioral Health Integration Program
no DOI — not checkedUsing science to sell apps: Evaluation of mental health app store quality claims
no DOI — not checkedMind the Gap(s) in Mental Health Care
no DOI — not checkedAndroid and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review
no DOI — not checkedAssessing the Clinical Robustness of Digital Health Startups: Cross-sectional Observational Analysis
no DOI — not checkedref54
no DOI — not checkedref55
no DOI — not checkedStep 3: Pathway to Approval
no DOI — not checkedStep 4: FDA Device Review
no DOI — not checkedref58
no DOI — not checkedMobile Health App Interactive Tool
no DOI — not checkedHow to Determine if Your Product is a Medical Device
no DOI — not checkedref61
no DOI — not checkedLeaving patients to their own devices? Smart technology, safety and therapeutic relationships
no DOI — not checkedPocket Psychiatry: mobile mental-health apps have exploded onto the market, but few have been thoroughly tested
no DOI — not checkedDigital health: a path to validation. npj
no DOI — not checkedref68
no DOI — not checkedref69
no DOI — not checkedBeyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA's De Novo pathway
no DOI — not checkedChallenges for the evaluation of digital health solutions-A call for innovative evidence generation approaches
no DOI — not checkedBeyond the Randomized Controlled Trial: A Review of Alternatives in mHealth
no DOI — not checkedMethods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps
no DOI — not checkedTrials of Intervention Principles: Evaluation Methods for Evolving Behavioral Intervention Technologies
no DOI — not checkedDesign and testing of a mobile health application rating tool
no DOI — not checkedMobile app validation: a digital health scorecard approach
no DOI — not checkedMedical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study
no DOI — not checkedWhat happens to data gathered by health and wellness apps?
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no DOI — not checkedConsumer mobile health apps: current state, barriers, and future directions
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