Evidence map›Paper›PMID 37344831›Full record

ArticleBMC health services research2023

The construction and operational models of internet hospitals in China: a hospital-based survey study.

Xuejiao Chen, Xinxia Wu, Qihang Zhang, Ran Jing, Weibin Cheng, Junzhang Tian, Changxiao Jin

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

7 authors.

Xuejiao Chen *Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China.
Xinxia Wu *Peking University Third Hospital, Beijing, China.
Qihang ZhangLondon School of Hygiene and Tropical Medicine, University of London, London, UK.
Ran JingInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China.
Weibin ChengInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China. chwb817@gmail.com.ORCID http://orcid.org/0000-0002-9845-6676
Junzhang TianInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China.
Changxiao JinPeking University Third Hospital, Beijing, China.

Funding

Key-Area Research and Development Program of Guangdong Province 2020B0101130020National Key-Area Research and Development Program of China 2021YFC2009400
6 · The paper itself

Abstract

backgroundChina has empowered and continues to empower internet hospitals, which saw an increase in their development due to the pandemic, to fight against COVID-19. The construction and operational models of internet hospitals can be categorized as self-constructed and self-managed models, self-constructed and enterprise-run models, hospital and enterprise joint-owned models, and hosted by a third-party platform. Despite the growing importance of internet hospitals, there have been few systematic summaries of their construction and operational models. The primary purpose of the study was to understand the construction and operational models of internet hospitals in China.

methodsData was collected from 39 internet hospitals and 356 medical staff between September 2020 and April 2021, via internet hospital and hospital staff surveys. T-tests were used to compare the continuous variables, while Chi-square tests were employed to compare the proportions of categorical variables. The self-perception of the internet hospitals' services was assessed using a 5-point Likert scale on 16 aspects and a root cause analysis was conducted to identify the root causes and influencing factors of current deficiencies experienced by internet hospitals.

resultsAmong the 39 internet hospitals, 22 (56.4%) were self-constructed and self-managed. Compared to other models of Internet hospitals, self-constructed and self-managed hospitals had lower percentages of professionals providing online services (P = 0.006), numbers of doctors outside of the entity (P = 0.006), numbers of online nurses (P = 0.004), and the ratio of online nurses to offline doctors (P < 0.001). Of the 16 aspects evaluated with regards to the medical staff's self-perception of the internet hospital services, the highest scores were given for fee transparency, fee rationality, travel cost capital, patience and responsibility, and consultation behaviors. The root causes included five aspects: human, channels, prices, services, and time.

conclusionsWhile the self-constructed and self-managed model was found to be the most prevalent form of internet hospital in China, the different models of internet hospitals can have an impact on both the quantity and quality of online healthcare services. This study contributes to the existing literature on internet hospitals' construction and operational models, offering additional policy implications for telemedicine management.

Indexed as

COVID-19TelemedicineChinaHospitalsHumansInternetPandemicsChinaConstruction; Establishment modelHospital-based surveyInternet hospital

Identifiers

PMID37344831
PMCPMC10283228

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LicenceCC BY
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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.