Evidence map›Paper›PMID 34217292›Full record

ArticleBMC health services research2021

Are preventive measures adequate? An evaluation of the implementation of COVID-19 prevention and control measures in nursing homes in China.

Meihong Shi, Fengying Zhang, Xinxin He, Siyuan Huang, Mingfeng Zhang, Xiuying Hu

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. 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
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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 at 2 institutions in 1 country.

Meihong ShiWest China School of Nursing, Sichuan University/ Innovation Center of Nursing Research, West China Hospital, Sichuan University, PO Box 610041, Chengdu, Sichuan Province, People's Republic of China.
Fengying ZhangWest China School of Nursing, Sichuan University/ Innovation Center of Nursing Research, West China Hospital, Sichuan University, PO Box 610041, Chengdu, Sichuan Province, People's Republic of China.
Xinxin HeNursing Department of Southwest Medical University, No. 1 Xianglin Rode, Longmatan District, PO Box 646000, Luzhou, Sichuan, People's Republic of China.
Siyuan HuangNursing Department of Southwest Medical University, No. 1 Xianglin Rode, Longmatan District, PO Box 646000, Luzhou, Sichuan, People's Republic of China.
Mingfeng ZhangNursing Department of Southwest Medical University, No. 1 Xianglin Rode, Longmatan District, PO Box 646000, Luzhou, Sichuan, People's Republic of China.
Xiuying HuWest China School of Nursing, Sichuan University/ Innovation Center of Nursing Research, West China Hospital, Sichuan University, PO Box 610041, Chengdu, Sichuan Province, People's Republic of China. westchinahuxiuying@163.com.ORCID http://orcid.org/0000-0003-1774-6370
Sichuan University · CNSouthwest Medical University · CN

Funding

Luzhou Municipal People's Government-Southwest Medical University Science and Technology Strategic Cooperation Project 2019LZXNYDR09the National Natural Science Foundation of China 71871147
6 · The paper itself

Abstract

backgroundThe novel coronavirus disease 2019 (COVID-19) pandemic has become a challenge for nursing homes in China. Nursing homes are particularly dangerous places in terms of the spread of COVID-19 given that they house vulnerable, high-risk populations. As such, several useful guidelines for coping with COVID-19 in nursing homes have been provided. However, the actual implementation rates of such guidelines are unknown. This study aims to document the adherence of nursing homes to the Ministry of Civil Affairs guidelines for COVID-19 prevention and control in nursing homes.

methodsA cross-sectional study was conducted among 484 nursing homes in 136 cities of 28 provinces in China. A self-report questionnaire was created based on the Ministry of Civil Affairs guidelines for COVID-19 prevention and control in nursing homes (first edition). The questionnaire and the Transformational Leadership in the Public Sector Scale were sent to nursing home managers via the Wenjuanxing app online from February 7 to 29, 2020. Ultimately, 461 of 960 nursing homes participated, for a response rate of 48.0%.

resultsThe average overall implementation rate of COVID-19 prevention and control measures was 80.0% (143.97/180). The average implementation rates for hygienic behaviour management and access management were lower, at 75.3 and 78.7%, respectively. Number of medical staff and transformational leadership score of nursing home's manager were associated with total implementation score (p < 0.05). A total of 69.8% (322/461) of the nursing home managers had serious resource problems, and inadequate protective supplies (72.0%) and staff shortages (47.7%) were the two primary problems. The nursing homes that located in urban, with large nursing home size, had hospital-nursing home cooperation and the transformational leadership score of manager> 60, had a lower risk of having serious resource problems.

conclusionsOverall, the implementation of prevention and control measures by nursing homes are insufficient during the epidemic in China. More medical staff, adequate resource, cooperation with hospitals, and higher transformational leadership of manager are required to improve the implementation rate. It is urgent for nursing homes to maintain the safety of residents and staff.

Indexed as

COVID-19ChinaCross-Sectional StudiesHumansNursing HomesSARS-CoV-2COVID-2019EvaluationImplementationNursing homesPrevention and controlPrevention resourceTransformational leadership

Identifiers

PMID34217292
PMCPMC8254064
OpenAlexW3119076626

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.