Evidence map›Paper›PMID 38147370›Full record

ArticleJournal of medical Internet research2023

The Effect of "Offline-to-Online" Trust Transfer on the Utilization of Online Medical Consultation Among Chinese Rural Residents: Experimental Study.

Jiao Lu, Jingyan Bai, Heng Zhao, Xiaoxiao Zhang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

5 citing papers in PubMed.

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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.

Jiao LuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0003-0866-8104
Jingyan BaiSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.ORCID 0000-0002-8496-6085
Heng ZhaoAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi, China.ORCID 0009-0005-2252-087X
Xiaoxiao ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0009-0001-0972-8829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline medical consultation can serve as a valuable means for rural residents to access high-quality health care resources, thereby mitigating the geographic and economic disadvantages prevalent in rural areas. Nevertheless, due to lower cognitive abilities, rural residents often face challenges in trusting and making effective use of online medical consultations. More likely, adopting a bounded rational decision-making model that facilitates the "offline-to-online" trust transfer could prove to be a potentially effective approach. This strategy aims to encourage less technologically experienced rural residents to trust and make use of online medical consultations.

objectiveThis study aims to characterize the status of "offline-to-online" trust transfer among rural residents in the context of internet health care, and analyze its direct impact on facilitating the utilization of online medical consultation. Additionally, we investigate the family spillover effect of "offline-to-online" trust transfer in promoting the use of online medical consultation among rural family members, considering its distributional effect across various education levels of the population.

methodsA multistage stratified random sampling method was used to survey participants in rural areas of China from July to September 2021, encompassing a total of 2597 rural residents from 960 rural households. Propensity score values were estimated using logit regression, and the propensity score matching method, using the K-nearest neighbor matching, radius matching, and kernel matching methods, was applied to create matched treatment and control samples of rural residents based on their experience of "offline-to-online" trust transfer. Subsequently, we calculated average treatment effect scores to compare the differences in utilizing online medical consultation between the treatment and control rural samples.

resultsAs many as 551/960 (57.4%) rural residents experienced an "offline-to-online" trust transfer, with a higher likelihood observed in the older population with lower levels of education and higher satisfaction with local health care services. Furthermore, rural residents who underwent "offline-to-online" trust transfer were 37%-40% more likely to utilize online medical consultation compared with those who did not experience this trust transfer. Additionally, family members of householders who underwent "offline-to-online" trust transfer were 25%-28% more likely to utilize online medical consultation than those whose householders did not experience this trust transfer. Notably, when compared with populations with high-level education, the "offline-to-online" trust transfer had more significant direct and spillover effects on the utilization of online medical consultation services among rural residents with low-level education.

conclusionsTo enhance the "offline-to-online" trust transfer among rural residents and its facilitation in their utilization of online medical consultation, as well as other mobile health (mHealth) and ubiquitous health (uHealth) services, we recommend that online health care providers adopt a "patient-oriented" service model. This approach aims to elevate rural residents' satisfaction with local health care services and harness the trust-building functions inherent in physician-patient relationships and among family members.

Indexed as

Referral and ConsultationTelemedicineTrustChinaEast Asian PeopleEducational StatusHumansRural PopulationChinese rural residentsdirect and family spillover effectshealth care services utilization"offline-to-online" trust transferonline medical consultation

Identifiers

PMID38147370
PMCPMC10777280

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LicenceCC BY
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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.