ArticleJMIR mHealth and uHealth2022
Quality of Mobile Apps for Care Partners of People With Alzheimer Disease and Related Dementias: Mobile App Rating Scale Evaluation.
Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An update on mobile applications collecting data among subjects with or at risk of Alzheimer's disease.Frontiers in aging neuroscience · 2023Pooled it
- Technology caregiver intervention for Alzheimer's disease (I-CARE): Feasibility and preliminary efficacy of Brain CareNotes.Journal of the American Geriatrics Society · 2023Trial
- Caregivers' Early Experiences Using CareMobi: An mHealth Application to Support Care Coordination.Western journal of nursing research · 2026Article
- Content Analysis of Human Anatomy Mobile Apps for Undergraduate Student Learning using MARuL.Medical science educator · 2026Article
- Patient and clinician perspectives on misgendering in healthcare.BMJ quality & safety · 2026Article
- Mobile Applications for Sepsis-Related Healthcare: A Systematic Search and Evaluation Within App Stores.Health science reports · 2026Article
- Supporting Dementia Caregiving With a Mobile Care Ecosystem: Development and Mixed Methods Study.JMIR aging · 2025Article
- Co-creation process of an app for people with rare diseases - a citizen science approach.Orphanet journal of rare diseases · 2025Article
- Mobile Telehealth Intervention to Support Care Partners of Patients With Alzheimer Disease and Related Dementias (I-CARE 2): Protocol for a Randomized Effectiveness Clinical Trial.JMIR research protocols · 2025Article
- Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation.JMIR mHealth and uHealth · 2025Article
- Perspectives and Experiences of Family Caregivers Using Supportive Mobile Apps in Dementia Care: Meta-Synthesis of Qualitative Research.JMIR mHealth and uHealth · 2025Article
- Article
- Development and Evaluation of a Web-Based Platform for Personalized Educational and Professional Assistance for Dementia Caregivers: Proposal for a Mixed Methods Study.JMIR research protocols · 2024Article
- Improving Care for People Living With Dementia and Diabetes: Applying the Human-Centered Design Process to Continuous Glucose Monitoring.Journal of diabetes science and technology · 2024Article
- Mobile applications for cognitive training: Content analysis and quality review.Internet interventions · 2023Article
- Co-Design of a Financial and Legal Planning Tool for Care Partners of People Living With Alzheimer's Disease and Related Dementias.Innovation in aging · 2023Article
- "It made me feel like I wasn't alone in the darkness": exploring dementia care network communication and coordination through a digital health platform.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Text Messages to Support Caregivers in a Health Care System: Development and Pilot and National Rollout Evaluation.Journal of participatory medicine · 2022Article
- A Web-Based Platform (CareVirtue) to Support Caregivers of People Living With Alzheimer Disease and Related Dementias: Mixed Methods Feasibility Study.JMIR aging · 2022Article
- Advance Planning for Technology Use in Dementia Care: Development, Design, and Feasibility of a Novel Self-administered Decision-Making Tool.JMIR aging · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundOver 11 million care partners in the United States who provide care to people living with Alzheimer disease and related dementias (ADRD) cite persistent and pervasive unmet needs related to their caregiving role. The proliferation of mobile apps for care partners has the potential to meet care partners' needs, but the quality of apps is unknown.
objectiveThis study aims to evaluate the quality of publicly available apps for care partners of people living with ADRD and identify design features of low- and high-quality apps to guide future research and user-centered app development.
methodsWe searched the US Apple App and Google Play stores with the criteria that included apps needed to be available in the US Google Play or Apple App stores, accessible to users out of the box, and primarily intended for use by an informal (family or friend) care partner of a person living with ADRD. We classified and tabulated app functionalities. The included apps were then evaluated using the Mobile App Rating Scale (MARS) using 23 items across 5 dimensions: engagement, functionality, aesthetics, information, and subjective quality. We computed descriptive statistics for each rating. To identify recommendations for future research and app development, we categorized rater comments on score-driving factors for each MARS rating item and what the app could have done to improve the item score.
resultsWe evaluated 17 apps. We found that, on average, apps are of minimally acceptable quality. Functionalities supported by apps included education (12/17, 71%), interactive training (3/17, 18%), documentation (3/17, 18%), tracking symptoms (2/17, 12%), care partner community (3/17, 18%), interaction with clinical experts (1/17, 6%), care coordination (2/17, 12%), and activities for the person living with ADRD (2/17, 12%). Of the 17 apps, 8 (47%) had only 1 feature, 6 (35%) had 2 features, and 3 (18%) had 3 features. The MARS quality mean score across apps was 3.08 (SD 0.83) on the 5-point rating scale (1=inadequate to 5=excellent), with apps scoring highest on average on functionality (mean 3.37, SD 0.99) and aesthetics (mean 3.24, SD 0.92) and lowest on average on information (mean 2.95, SD 0.95) and engagement (mean 2.76, SD 0.89). The MARS subjective quality mean score across apps was 2.26 (SD 1.02).
conclusionsWe identified apps whose mean scores were more than 1 point below minimally acceptable quality, whereas some were more than 1 point above. Many apps had broken features and were rated as below acceptable for engagement and information. Minimally acceptable quality is likely to be insufficient to meet care partner needs. Future research should establish minimum quality standards across dimensions for care partner mobile apps. Design features of high-quality apps identified in this study can provide the foundation for benchmarking these standards.
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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.