Evidence map›Paper›PMID 32525483›Full record

ArticleJournal of medical Internet research2020

Patients' Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China.

Peiyi Li, Yunmei Luo, Xuexin Yu, Jin Wen, Elizabeth Mason, Weimin Li, Mohammad S Jalali

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  13. Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review.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

7 authors.

Peiyi LiInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0003-0177-6970
Yunmei LuoInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-2661-3214
Xuexin YuBiomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-6484-6035
Jin WenInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-1502-7244
Elizabeth MasonMassachusetts General Hospital's Institute for Technology Assessment, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-4067-6999
Weimin Li *Department of Respiratory Medicine, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0003-0985-0311
Mohammad S Jalali *Massachusetts General Hospital's Institute for Technology Assessment, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-6769-2732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs an innovative approach to providing web-based health care services from physical hospitals to patients at a distance, e-hospitals (ie, extended care hospitals through the internet) have been extensively developed in China. This closed health care delivery chain was developed by combining e-hospitals with physical hospitals; treatment begins with web-based consultation and registration, and then, patients are diagnosed and treated in a physical hospital. This approach is promising in its ability to improve accessibility, efficiency, and quality of health care. However, there is limited research on end users' acceptance of e-hospitals and the effectiveness of strategies aimed to prompt the adoption of e-hospitals in China.

objectiveThis study aimed to provide insights regarding the adoption of e-hospitals by investigating patients' willingness to use e-hospitals and analyzing the barriers and facilitators to the adoption of this technology.

methodsWe used a pretested self-administered questionnaire and performed a cross-sectional analysis in 1032 patients across three hierarchical hospitals in West China from June to August 2019. Patients' sociodemographic characteristics, medical history, current disease status, proficiency with electronic devices, previous experience with web-based health services, willingness to use e-hospitals, and perceived facilitators and barriers were surveyed. Multiple significance tests were employed to examine disparities across four age groups, as well as those between patients who were willing to use e-hospitals and those who were not. Multivariate logistic regression was also performed to identify the potential predictors of willingness to use e-hospitals.

resultsOverall, it was found that 65.6% (677/1032) of participants were willing to use e-hospitals. The significant predictors of willingness to use e-hospitals were employment status (P=.02), living with children (P<.001), education level (P=.046), information technology skills (P<.001), and prior experience with web-based health care services (P<.001), whereas age, income, medical insurance, and familiarity with e-hospitals were not predictors. Additionally, the prominent facilitators of e-hospitals were convenience (641/677, 94.7%) and accessibility to skilled medical experts (489/677, 72.2%). The most frequently perceived barrier varied among age groups; seniors most often reported their inability to operate technological devices as a barrier (144/166, 86.7%), whereas young participants most often reported that they avoided e-hospital services because they were accustomed to face-to-face consultation (39/52, 75%).

conclusionsWe identified the variables, facilitators, and barriers that play essential roles in the adoption of e-hospitals. Based on our findings, we suggest that efforts to increase the adoption of e-hospitals should focus on making target populations accustomed to web-based health care services while maximizing ease of use and providing assistance for technological inquiries.

Indexed as

AdolescentAdultChinaCross-Sectional StudiesFemaleHumansMalePerceptionSurveys and QuestionnairesTelemedicineYoung AdultbarrierseHealthe-hospitalfacilitatorsinnovation adoptioninternet hospital

Identifiers

PMID32525483
PMCPMC7317627

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.