Evidence map›Paper›PMID 40841989›Full record

ArticleGlobal health research and policy2025

Cultural adaptation of digital healthcare tools: a cross-sectional survey of caregivers and patients.

Shuya Zhou, Muzi Shen, Xinge Tao, Shasha Han

Abstract read
In one paragraph

Article in Global health research and policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

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

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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

4 authors.

Shuya Zhou *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Muzi Shen *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Xinge TaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Shasha HanSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China. hanshasha@pumc.edu.cn.ORCID http://orcid.org/0000-0001-7388-8125

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2023-I2M-3-008Key Research and Development Program of Jiangxi Province 20244AFI920004National Natural Science Foundation of China 82304269
6 · The paper itself

Abstract

backgroundOptimizing the cultural accessibility of digital healthcare tools requires understanding user perspectives on usability features and cultural appropriateness.

methodsA cross-sectional survey of 3,030 caregivers (mean age 44.0, 52.9% female) and 2,108 inpatients (mean age 49.7, 54.0% female) at a Guangxi medical center (July-October 2024) assessed experiences with digital tools, support needs, and preferences for culturally adaptive features.

resultsCaregivers reported a higher adoption of digital tools than patients (caregivers: 87.1% vs. patients: 62.0%, P-value < .001), yet 81.1% of caregivers reported unmet needs. Both groups (caregivers: 67.0%; patients: 64.0%) prioritized integrating traditional medicine over other cultural factors (language diversity, traditional medicine, folk customs, and medical resource availability). Caregivers valued interactive health management tools (73.3% vs. 66.7% among patients, P-value < .001) and user feedback mechanisms (61.2% vs. 55.0% among patients, P-value < .001) more than patients.

conclusionsDespite high adoption, caregivers report significant gaps in culturally relevant support. Digital health interventions should prioritize user-centered designs, incorporating traditional medicine and addressing the divergent preferences of caregivers and patients.

Indexed as

CaregiversAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID40841989
PMCPMC12369145

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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.