Evidence map›Paper›PMID 35435649›Full record

ArticleJMIRx med

Lessons Learned From the Resilience of Chinese Hospitals to the COVID-19 Pandemic: Scoping Review.

Jack Stennett, Renyou Hou, Lola Traverson, Valéry Ridde, Kate Zinszer, Fanny Chabrol

Abstract readScoping Review
In one paragraph

Article in JMIRx med. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  9. Review
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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

6 authors.

Jack Stennett *Centre Population et Développement Institut de Recherche pour le Développement Université de Paris Paris France.ORCID https://orcid.org/0000-0001-5393-6054
Renyou Hou *Centre Population et Développement Institut de Recherche pour le Développement Université de Paris Paris France.ORCID https://orcid.org/0000-0002-9355-0700
Lola TraversonCentre Population et Développement Institut de Recherche pour le Développement Université de Paris Paris France.ORCID https://orcid.org/0000-0003-2300-2247
Valéry RiddeCentre Population et Développement Institut de Recherche pour le Développement Université de Paris Paris France.ORCID https://orcid.org/0000-0001-9299-8266
Kate ZinszerCentre de Recherche en Santé Publique Université de Montréal Montréal, QC Canada.ORCID https://orcid.org/0000-0003-1388-1145
Fanny ChabrolCentre Population et Développement Institut de Recherche pour le Développement Université de Paris Paris France.ORCID https://orcid.org/0000-0002-3256-3217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The SARS-CoV-2 pandemic has brought substantial strain on hospitals worldwide; however, although the success of China's COVID-19 strategy has been attributed to the achievements of the government, public health officials, and the attitudes of the public, the resilience shown by China's hospitals appears to have been a critical factor in their successful response to the pandemic. Objective: This paper aims to determine the key findings, recommendations, and lessons learned in terms of hospital resilience during the pandemic; analyze the quality and limitations of research in this field at present; and contribute to the evaluation of the Chinese response to the COVID-19 outbreak, building on a growing literature on the role of hospital resilience in crisis situations. Methods: We conducted a scoping review of evidence on the resilience of hospitals in China during the COVID-19 crisis in the first half of 2020. Two online databases (the China National Knowledge Infrastructure and World Health Organization databases) were used to identify papers meeting the eligibility criteria. After extracting the data, we present an information synthesis using a resilience framework. Articles were included in the review if they were peer-reviewed studies published between December 2019 and July 2020 in English or Chinese and included empirical results pertaining to the resilience of Chinese hospitals in the COVID-19 pandemic. Results: From the publications meeting the criteria (n=59), we found that substantial research was rapidly produced in the first half of 2020 and described numerous strategies used to improve hospital resilience, particularly in three key areas: human resources; management and communication; and security, hygiene, and planning. Our search revealed a focus on interventions related to training, health care worker well-being, eHealth/telemedicine, and workplace organization, while other areas such as hospital financing, information systems, and health care infrastructure were less well represented in the literature. We also noted that the literature was dominated by descriptive case studies, often lacking consideration of methodological limitations, and that there was a lack of both highly focused research on specific interventions and holistic research that attempted to unite the topics within a resilience framework. Conclusions: We identified a number of lessons learned regarding how China's hospitals have demonstrated resilience when confronted with the SARS-CoV-2 pandemic. Strategies involving interprovincial reinforcements, online platforms and technological interventions, and meticulous personal protective equipment use and disinfection, combined with the creation of new interdisciplinary teams and management strategies, reflect a proactive hospital response to the pandemic, with high levels of redundancy. Research on Chinese hospitals would benefit from a greater range of analyses to draw more nuanced and contextualized lessons from the responses to the crisis.

Indexed as

COVID-19crisis preparednesscrisis responsehealth carehealth care strategyhospital resiliencehospitalsinterventionspandemicpublic healthSARS-CoV-2

Identifiers

PMID35435649
PMCPMC9004618

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.