Evidence map›Paper›PMID 41872793›Full record

ArticleBMC medical informatics and decision making2026

A mobile app (mWITH ME) for family caregivers of persons living with Alzheimer's disease: development and initial evaluation.

Anni Yang, Bin Hu, Menlong Ye, Xi Zhang, Weihua Yu, Jun Yin

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anni YangSchool of Design, Jiangnan University, Jiangsu, China.
Bin HuFaculty of Humanities and Arts, Macau University of Science and Technology, Macau, China.
Menlong YeSchool of Design, Jiangnan University, Jiangsu, China.
Xi ZhangSchool of Design, Jiangnan University, Jiangsu, China.
Weihua YuSchool of Design, Jiangnan University, Jiangsu, China.
Jun YinSchool of Digital Technology & Innovation Design, Jiangnan University, 1800 Lihu Avenue, Binhu District, Wuxi City, Jiangsu Province, China. 8843120002@jiangnan.edu.cn.

Funding

the National Social Science Foundation of China No.20AC003
6 · The paper itself

Abstract

backgroundThe rising global aging population has increased the prevalence of Alzheimer’s disease (AD), a condition with limited treatment options, making non-pharmacological interventions essential. While mobile health apps are increasingly common, there is currently a lack of theory-based, user-centered research to support the development of mobile health apps for family caregivers of persons living with AD.

objectiveThis study aimed to design a theory-based and user-centered mobile application that supports family caregivers by leveraging non-pharmacological interventions to aid in the management and potential slowing of AD progression, with the ultimate goals of improving care quality and reducing their burden.

methodsThe study employed a three-phase methodology: (1) Establishing a theoretical framework based on Narrative Evidence-Based Medicine and Maslow’s hierarchy of needs; (2) Conducting semi-structured interviews with target users (n = 18), with transcripts analyzed thematically to inform the app’s development by an interdisciplinary team; (3) Performing a preliminary evaluation with participants (n = 20) who used the app for three weeks, after which a questionnaire assessed its short-term impact and user-friendliness.

resultsThematic analysis yielded five key themes: Content, Platform, Functionality, Interactivity, and Interface. The mWITH ME app consists of four modules: educational support, professional support, peer support, and health monitoring. In the preliminary evaluation, 75% (n = 15) of participants reported that using the app reduced their daily caregiving burden, 80% (n = 16) expressed satisfaction with the application, and 70% (n = 14) acknowledged its role in improving care quality. The modules for Educational, Professional, and Peer Support received particularly positive feedback, which aligns with the app’s underlying theoretical framework of Narrative Evidence-Based Medicine and Maslow’s hierarchy of needs. Nonetheless, the Health Monitoring module was identified as requiring further enhancements to better meet user expectations.

conclusionsThe mWITH ME app demonstrates feasibility in supporting family caregivers by addressing their professional, educational, and emotional needs. Future work should focus on developing features for mood and fatigue monitoring, while long-term studies are needed to evaluate its integration into standard care pathways and its potential to improve the quality of life for both the caregivers and persons living with AD.

Indexed as

Alzheimer DiseaseCaregiversMobile ApplicationsAgedFemaleHumansMaleMiddle AgedAlzheimer's disease (AD)App developmenteHealthFamily caregiversMaslow's hierarchy of needsMobile healthNarrative Evidence-Based Medicine (NEBM)

Identifiers

PMID41872793
PMCPMC13134223

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.