Evidence map›Paper›PMID 37937072›Full record

ArticleFrontiers in public health2023

Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study.

Mingjiao Zhang, Hao Zhang, Rong Zhu, Huiqi Yang, Mengjie Chen, Xiaoxia Wang, Zhe Li, Zhenzhen Xiong

Abstract read
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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

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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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

8 authors.

Mingjiao Zhang *School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Hao Zhang *West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Rong Zhu *The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, Sichuan, China.
Huiqi YangNanbu Country People's Hospital, Nanchong, Sichuan, China.
Mengjie ChenSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Xiaoxia WangSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Zhe LiMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhenzhen XiongSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global burden of type 2 diabetes has significantly increased, leading to a considerable impact on healthcare systems worldwide. While the advent of mobile healthcare has provided some relief by addressing the shortage of certain medical resources, its adoption among the Chinese population remains relatively low. To extend the benefits of mHealth to a greater number of Chinese diabetic patients, it is essential to investigate the factors that influence their willingness to utilize it and implement targeted interventions based on these influencing factors. The Technology Acceptance Model (TAM) is widely employed to examine users' ultimate usage behaviors, and previous studies have indicated the potential relevance of the Perceived Risk (PR) theory and the eHealth Literacy Theory to users' usage behaviors. Objective: Our objective was to investigate the determinants that affect the willingness of Chinese patients diagnosed with type 2 diabetes patients to utilize digital disease management applications (DDMAs). Methods: We conducted a cross-sectional study of patients with type 2 diabetes in three tertiary general hospitals in Chengdu using questionnaires designed by the investigators. Participants were sampled using a convenience sampling method. The questionnaire comprised three sections: socio-demographic profile and medical history; current awareness and willingness to use digital disease management applications; and the current level of e-health literacy. Structural equation modeling was employed to assess the impact of patient awareness of DDMAs and e-health literacy on the willingness to use such DDMAs. Results: (1) Patients' attitudes toward using DDMAs were significantly influenced by perceived ease of use ( Conclusions: The present research findings hold both theoretical and practical significance, and can serve as a guide for healthcare practitioners and researchers to gain a deeper comprehension of the acceptance of digital disease management applications (DDMAs) among type 2 diabetes patients.

Indexed as

Diabetes Mellitus, Type 2Health LiteracyTelemedicineAttitudeCross-Sectional StudiesHumanseHealth literacy theoryintention to usemobile medicalTAMtype 2 diabetes

Identifiers

PMID37937072
PMCPMC10626484

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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.