Evidence map›Paper›PMID 28347449›Full record

ArticleInternational journal of medical informatics2017

Mobile application for diabetes self-management in China: Do they fit for older adults?

Chenchen Gao, Lanshu Zhou, Zhihui Liu, Haocen Wang, Barbara Bowers

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Understanding older adults' perceptions of mHealth apps.Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society · 2023
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  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Home Blood Pressure Monitoring by a Mobile-Based Model in Chongqing, China: A Feasibility Study.International journal of environmental research and public health · 2019
    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

5 authors.

Chenchen GaoSchool of Nursing, Second Military Medical University, Shanghai, China. Electronic address: chenchengao1989@outlook.com.
Lanshu ZhouSchool of Nursing, Second Military Medical University, Shanghai, China. Electronic address: zhoulanshu@hotmail.com.
Zhihui LiuSchool of Nursing, Second Military Medical University, Shanghai, China. Electronic address: 1576783473@qq.com.
Haocen WangSchool of Nursing, University of Wisconsin-Madison, WI, United States. Electronic address: hwang472@wisc.edu.
Barbara BowersSchool of Nursing, University of Wisconsin-Madison, WI, United States. Electronic address: bjbowers@wisc.edu.

Funding

NCATS NIH HHS UL1 TR000427
6 · The paper itself

Abstract

objectivesDespite the exponential proliferation of Chinese diabetes applications, none are designed to meet the needs of the largest potential user population. The purpose of this study is to examine the features and contents of Chinese diabetes mobile applications in terms of their suitability for use by older adults with diabetes.

methodsA search of the Apple application store and the 360 Mobile Assistant was conducted to identify Chinese diabetes applications. Next, we compared the features and contents of all the included and most popular diabetes applications with both the International Diabetes Federation (IDF) clinical guideline and recommended usability criteria for older adults respectively.

resultsSeventy-one diabetes apps were randomly selected (from a pool of 552 diabetes apps) and reviewed. The features of most apps failed to include content areas of known importance for managing diabetes in older adults. Usability of all tested applications was rated moderate to good.

conclusionsDesigning maximally effective medical applications would benefit from attention to both usability and content guidelines targeted for the largest potential user population. Despite the preponderance of older adults in the potential user group, failing to consider the relevance of content, in addition to usability for the specific population will ultimately limit the usefulness of the app.

Indexed as

Self-ManagementAdultAgedChinaDiabetes MellitusHumansMiddle AgedMobile ApplicationsDiabetes mellitusMobile applicationOlder adultsSelf managementUser group

Identifiers

PMID28347449
PMCPMC5418079

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.