Evidence map›Paper›PMID 35190431›Full record

ArticleBMJ open2022

Readiness of healthcare providers for e-hospitals: a cross-sectional analysis in China before the COVID-19 period.

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

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Readiness for Health Information Technology is Associated to Information Security in Healthcare Institutions.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020
    Article
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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

8 authors at 4 institutions in 2 countries.

Peiyi Li *Department of Anesthesiology, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Yunmei Luo *West China Medical Publishers,West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-2661-3214
Xuexin YuBiomedical Big Data Center, Sichuan University West China Hospital, Chengdu, Sichuan, China.ORCID 0000-0002-6484-6035
Elizabeth MasonMGH Institute for Technology Assessment, Harvard Medical School, Boston, Massachusetts, USA.
Zhi ZengInstitute of Hospital Management, Sichuan University, West China Hospital, Chengdu, Sichuan, China.
Jin WenInstitute of Hospital Management, Sichuan University, West China Hospital, Chengdu, Sichuan, China.
Weimin LiDepartment of Respiratory and Critical Care Medicine, Sichuan University West China Hospital, Chengdu, China weimi003@scu.edu.cn.ORCID 0000-0003-0985-0311
Mohammad S JalaliMGH Institute for Technology Assessment, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-6769-2732
Sichuan University · CNHarvard University · USChinese Academy of Medical Sciences & Peking Union Medical College · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe growth and development of smartphones and eHealth technologies have enabled the potential for extended care hospitals (e-hospitals) in China in order to facilitate the success of a primary healthcare centre (PHC)-based integrated delivery model. Although the adoption of e-hospitals is essential, few studies have directed their research towards understanding the perspectives of healthcare providers. This study aims to identify the current readiness of healthcare providers to adopt e-hospital technologies, determine the factors influencing this adoption and describe the perceived facilitators and barriers in regard to working at e-hospitals.

designA cross-sectional study conducted in Sichuan, China, between June and September 2019. SETTINGS: Information was collected from healthcare providers who have more than 3 years of work experience from a tertiary hospital, secondary hospital, PHCs and private hospital.

participants2298 medical professionals were included in this study. OUTCOME MEASURE: This study included a self-administered questionnaire that was used to assess participants' sociodemographic characteristics, online medical practices, willingness to use e-hospitals and perceived facilitators/barriers to working at e-hospitals. Multivariate regression analysis was performed in order to evaluate the independent factors associated with e-hospital work.

resultsOverall, 86.3% had a positive response towards working at e-hospitals. Age (p<0.05), familiarity with e-hospitals (p<0.001) and prior work practices in online healthcare settings (p<0.001) were associated with participants' readiness to work at e-hospitals. Gender, education level, professional level, the tier of their affiliated hospital and workload were not statistically associated. Healthcare providers who had positive attitudes towards e-hospitals considered improved efficiency, patient satisfaction, communication among physicians, increased reputation and income, and alleviated workload to be advantages of adoption. The participants who were unwilling to work at e-hospitals perceived lack of time, insufficient authenticity/reliability and underdeveloped policies as potential barriers.

conclusionImproving operative proficiency in electronic devices, accommodating to work schedules, increasing familiarity with e-hospitals and regulating practices will improve the readiness of healthcare providers to work at e-hospitals.

Indexed as

COVID-19ChinaCross-Sectional StudiesHealth PersonnelHospitalsHumansPatient SatisfactionReproducibility of ResultsSARS-CoV-2health informaticshealth policytelemedicine

Identifiers

PMID35190431
PMCPMC8861885
OpenAlexW4212921248

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.