Evidence map›Paper›PMID 42252428›Full record

ArticleBMC public health2026

Development and initial validation of the digital health equity questionnaire for rural older adults.

Qin Liu, Aifeire Abeibao, Na Meng, Mengsi Huang, Dilixiati Maimaitiyili, Hanyue Sun, Lei Kang, Shuping You

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qin LiuSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Aifeire AbeibaoSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Na MengSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Mengsi HuangSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Dilixiati MaimaitiyiliSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Hanyue SunSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Lei KangSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China.
Shuping YouSchool of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567, Shangde North Road, Shui mogou District, Urumqi, 830017, China. youshupin@163.com.

Funding

2024 National Social Science Foundation Program 24BSH0462024 National Undergraduate Innovation Training Program 202410760033
6 · The paper itself

Abstract

objectiveTo develop a digital health equity questionnaire for rural elderly and test its reliability and validity.

methodsThe initial questionnaire items were based on the social ecological model. They were identified by systematically reviewing the literature and conducting semi-structured interviews. Delphi expert consultation was used to screen and revise the items, resulting in a pre-test questionnaire for digital health equity among rural older adults. A total of 206 rural older adults were selected to complete item analysis and exploratory factor analysis on the pre-test questionnaire. Another group of 227 rural older adults were selected to evaluate the reliability and validity of the formal questionnaire.

resultsThe developed Digital Health Equity Questionnaire for rural older adults includes five dimensions: individual level, interpersonal level, organizational level, community level, and policy level, with a total of 31 items. Exploratory factor analysis extracted 5 common factors, with a cumulative variance contribution of 75.120%. The results of the confirmatory factor analysis indicate that the overall fit of the constructed model is good: χ2/df = 2.19, TLI = 0.916, IFI = 0.903, CFI = 0.912, RMSEA = 0.064. The overall Cronbach's α coefficient of the questionnaire is 0.903, the split-half reliability is 0.879, and the test-retest reliability after a two-week interval is 0.857.

conclusionThe Digital Health Equity Questionnaire for rural older adults has good reliability and validity and can be used as a standardized tool for the preliminary assessment of digital health equity among rural older adults.

Indexed as

Digital HealthHealth EquityRural PopulationAgedAged, 80 and overFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesDigital health equityElderlyQuestionnaire developmentReliabilityValidity

Identifiers

PMID42252428
PMCPMC13465290

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LicenceCC BY-NC-ND
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Registered trials

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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.