Evidence map›Paper›PMID 34742268›Full record

Observational studyBMC public health2021

Evaluation of the quality of COVID-19 prevention and control by a novel comprehensive evaluation model in a tertiary general hospital: a prospective observational study.

Xiao Zhong, Dong-Li Wang, Lan-Fang Mo, Wen Zhang, Li-Hua Xiao, Xiang-Lin Wu, Yan-Wei Chen, Lei Yang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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 2 institutions in 1 country.

Xiao ZhongTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China. 187197283@qq.com.
Dong-Li WangTesting center, Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, China.
Lan-Fang MoTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China.
Wen ZhangTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China.
Li-Hua XiaoTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China.
Xiang-Lin WuTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China.
Yan-Wei ChenTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China.
Lei YangTertiary-grade & A-class office, Shenzhen Hospital, University of Chinese Academy of Sciences, Shenzhen, 518106, Guangdong, China.
University of Chinese Academy of Sciences · CNShenzhen Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevention and control (P&C) of Corona Virus Disease 2019 (COVID-19) is still a critical task in most countries and regions. However, there are many single evaluation indexes to assess the quality of COVID-19 P&C. It is necessary to synthesize the single evaluation indexes reasonably to obtain the overall evaluation results.

methodsThis study was divided into three steps. Step 1: In February 2020, the improved Delphi method was used to establish the quality evaluation indexes system for COVID-19 P&C. Step 2: in March 2020, the CRITIC method was used to adjust the Order Relation Analysis (G1) method to obtain the subjective and objective (S&O) combination weights. The comprehensive evaluation value was obtained using the weighted Efficacy Coefficient (EC) method, weighted TOPSIS method, weighted rank-sum ratio (RSR) method, and weighted Grey Relationship Analysis (GRA) method. Finally, the linear normalization method was used to synthesize the evaluation values of different evaluation methods. Step 3: From April 2020 to May 2021, this evaluation method was used to monitor and assess COVID-19 P&C quality in critical departments prospectively. The results were reported to the departments monthly.

resultA quality evaluation indexes system for COVID-19 P&C was established. Kendall's consistency test shows that the four evaluation method had good consistency (χ

conclusionsThe combined comprehensive evaluation method based on the S&O combined weight was more scientific and comprehensive than the single weighting and evaluation methods. In addition, monitoring and feedback of COVID-19 P&C quality were helpful for the improvement of P&C quality.

Indexed as

COVID-19Hospitals, GeneralHealth ServicesHumansProspective StudiesSARS-CoV-2Efficacy coefficient methodGrey relationship analysis methodMulti-index comprehensive evaluationQuality of COVID-19 prevention and controlRank-sum ratio methodSubjective and objective combined weightTOPSIS method

Identifiers

PMID34742268
PMCPMC8571898
OpenAlexW3212585228

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.