Evidence map›Paper›PMID 32012045›Full record

ArticleJMIR aging2020

Existing Mobile Phone Apps for Self-Care Management of People With Alzheimer Disease and Related Dementias: Systematic Analysis.

Yuqi Guo, Fan Yang, Fei Hu, Wei Li, Nicole Ruggiano, Hee Yun Lee

Erratum issuedAbstract read
In one paragraph

Article in JMIR aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–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

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. The Effect of theJMIR research protocols · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Mobile Phone Use and Cognitive Impairment among Elderly Chinese: A National Cross-Sectional Survey Study.International journal of environmental research and public health · 2021
    Article
  20. "Taking care of myself as long as I can": How People with Dementia Configure Self-Management Systems.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yuqi GuoSchool of Social Work, University of North Carolina at Charlotte, Charlotte, NC, United States.ORCID https://orcid.org/0000-0002-7060-8404
Fan YangSocial Welfare Program, School of Public Administration, Dongbei University of Finance and Economics, Dalian, China.ORCID https://orcid.org/0000-0003-4250-8446
Fei HuCollege of Engineering, University of Alabama, Tuscaloosa, AL, United States.ORCID https://orcid.org/0000-0003-4346-9477
Wei LiSchool of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID https://orcid.org/0000-0002-7530-4872
Nicole RuggianoSchool of Social Work, University of Alabama, Tuscaloosa, AL, United States.ORCID https://orcid.org/0000-0002-2398-7077
Hee Yun LeeSchool of Social Work, University of Alabama, Tuscaloosa, AL, United States.ORCID https://orcid.org/0000-0003-3499-6304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer disease and related dementias (AD/RD) are progressive neurocognitive disorders that currently affect approximately 50 million people worldwide. Mobile phone apps have been well-integrated into daily lives and can be used to deliver and promote health care. There is an increase in the use of technology to provide care and support to AD/RD patients and their families.

objectiveThis study aimed to review apps designed for AD/RD patients and analyze the benefits of, and challenges to, such technological solutions.

methodsA systematic approach was applied to review the availability, content, features, and quality of mobile phone apps to support self-care among AD/RD patients.

resultsThe initial search for this review was conducted in January 2019, and the screening and analysis of the included apps were completed in May 2019. A total of 14 apps were included from an initial search of 245 apps. The top 3 features were alert (9/14, 64%), self-care tips (6/14, 42%), and social networking capacity (5/14, 35%). On average, the readability of the apps was a tenth-grade reading level (SD 3.06). The overall quality was 3.71 out of 5 (SD 1.37).

conclusionsOur findings suggest that currently available apps for AD/RD patients may not meet complex needs and may be challenging to use, given the possible impaired communication ability associated with AD/RD. Therefore, high-quality apps need to be developed and rigorously evaluated for feasibility and efficacy.

Indexed as

alzheimer diseasedementiamobile phone appsself-care

Identifiers

PMID32012045
PMCPMC7007594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.