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Accepted for/Published in: JMIR Aging

Date Submitted: Mar 18, 2024
Date Accepted: Sep 6, 2024

The final, peer-reviewed published version of this preprint can be found here:

mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps

Zou N, Xie B, He D, Hilsabeck RC, Aguirre A

mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps

JMIR Aging 2024;7:e58517

DOI: 10.2196/58517

PMID: 39621936

PMCID: 11617330

mHealth Applications for Dementia Caregivers: Systematic Review

  • Ning Zou; 
  • Bo Xie; 
  • Daqing He; 
  • Robin C. Hilsabeck; 
  • Alyssa Aguirre

ABSTRACT

Background:

Informal caregivers of persons living with dementia (PwDs) are increasingly using mobile health applications (apps) to obtain care information. Yet little is known about the types and quality of dementia care information that these apps provide. Is this information for caregivers individually tailored, and if it is tailored, how?

Objective:

To address the aforementioned gaps in the literature by systematically examining the types and quality of care-related information provided in publicly available apps for caregivers of PwDs as well as app features used to tailor information to caregivers’ information wants and situations.

Methods:

In September 2023, we used a multistage process to select mobile apps for caregivers of PwDs. The final sample included 35 apps. We assessed (1) types of dementia care information provided in the apps, using our 3-item Alzheimer’s Disease and Related Dementia Daily Care Strategy Framework; (2) quality of apps’ care information, using the 11 indicators recommended by the National Library of Medicine; and (3) types of tailoring to provide personalization, feedback, and content matching, which are common tailoring strategies described in the literature.

Results:

Educational information was the most prevalent type of information provided (29 of 35 apps, 83%), followed by information about tangible actions (18/35, 51%) and referrals (14/35, 40%). All apps presented their objectives clearly and avoided unrealistic or emotional claims. However, few provided information to explain whether the app’s content was generated or reviewed by experts (7/35, 20%) or how its content was selected (4/35, 11%). Six of the 35 apps (17%) implemented one type of tailoring; of them, 4 (11%) used content matching and the other 2 (6%) used personalization. No app used two types of tailoring; only 2 (6%) used all three types.

Conclusions:

Existing dementia care apps do not provide sufficient high-quality, tailored information for informal caregivers. Caregivers should exercise caution when they use dementia care apps. More research is needed to design high-quality dementia care apps for caregivers of PwDs.


 Citation

Please cite as:

Zou N, Xie B, He D, Hilsabeck RC, Aguirre A

mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps

JMIR Aging 2024;7:e58517

DOI: 10.2196/58517

PMID: 39621936

PMCID: 11617330

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