Evidence map›Paper›PMID 32255432›Full record

SynthesisJMIR mHealth and uHealth2020

Quality, Functionality, and Features of Chinese Mobile Apps for Diabetes Self-Management: Systematic Search and Evaluation of Mobile Apps.

Enying Gong, Zongmuyu Zhang, Xurui Jin, Yishan Liu, Lumin Zhong, Yao Wu, Xuefeng Zhong, Lijing L Yan, Brian Oldenburg

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  11. Quality assessment of mHealth apps: a scoping review.Frontiers in health services · 2024
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  16. Codesign and Feasibility Testing of a Tool to Evaluate Overweight and Obesity Apps.International journal of environmental research and public health · 2022
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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

9 authors.

Enying GongMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-2203-0369
Zongmuyu ZhangMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-0206-2523
Xurui JinGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.ORCID 0000-0002-8111-109X
Yishan LiuSchool of Public Health, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0003-2804-4710
Lumin ZhongSchool of Public Health, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0001-7356-0787
Yao WuMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-1155-9892
Xuefeng ZhongDepartment of Personal Health, Philips Research China, Shanghai, China.ORCID 0000-0003-1876-3711
Lijing L YanGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.ORCID 0000-0002-3029-0462
Brian OldenburgMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-7712-5413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence and advancement of mobile technologies offer a promising opportunity for people with diabetes to improve their self-management. Despite the proliferation of mobile apps, few studies have evaluated the apps that are available to the millions of people with diabetes in China.

objectiveThis study aimed to conduct a systematic search of Chinese mobile apps for diabetes self-management and to evaluate their quality, functionality, and features by using validated rating scales.

methodsA systematic search was conducted to identify Chinese apps for diabetes self-management in the four most popular Chinese language mobile app stores. Apps were included if they were designed for diabetes self-management and contained at least one of the following components: blood glucose management, dietary and physical activity management, medication taking, and prevention of diabetes-related comorbidities. Apps were excluded if they were unrelated to health, not in Chinese, or the targeted users are health care professionals. Apps meeting the identified inclusion criteria were downloaded and evaluated by a team of 5 raters. The quality, functionalities, and features of these apps were assessed by using the Mobile App Rating Scale (MARS), the IMS Institute for Healthcare Informatics Functionality score, and a checklist of self-management activities developed based on the Chinese diabetes self-management guideline, respectively.

resultsAmong 2072 apps searched, 199 were eligible based on the inclusion criteria, and 67 apps were successfully downloaded for rating. These 67 apps had an average MARS score of 3.42 out of 5, and 76% (51/67) of the apps achieved an acceptable quality (MARS score >3.0). The scores for the four subdomains of MARS were 3.97 for functionality, 3.45 for aesthetics, 3.21 for information, and 3.07 for engagement. On average, reviewed apps applied five out of the 19 examined behavior change techniques, whereas the average score on the subjective quality for the potential impact on behavior change is 3 out of 5. In addition, the average score on IMS functionality was 6 out of 11. Functionalities in collecting, recording, and displaying data were mostly presented in the reviewed apps. Most of the apps were multifeatured with monitoring blood glucose and tracking lifestyle behaviors as common features, but some key self-management activities recommended by clinical guidelines, such as stress and emotional management, were rarely presented in these apps.

conclusionsThe general quality of the reviewed apps for diabetes self-management is suboptimal, although the potential for improvement is significant. More attention needs to be paid to the engagement and information quality of these apps through co-design with researchers, public health practitioners, and consumers. There is also a need to promote the awareness of the public on the benefit and potential risks of utilizing health apps for self-management.

Indexed as

Diabetes MellitusHealth BehaviorMobile ApplicationsChinaHumansLanguageSelf-ManagementChinadiabetes mellitusmobile appsself-management

Identifiers

PMID32255432
PMCPMC7175187

What OpenQuestion holds

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LicenceCC BY
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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.