Evidence map›Paper›PMID 34666118›Full record

ArticleThe Journal of hospital infection2022

Development and validation of a competency evaluation model for hospital infection prevention and control practitioners in the post-pandemic era: a mixed methods study.

L Cui, A He, X Wang, Y Wang, X Huang, Z Ni

Abstract read
In one paragraph

Article in The Journal of hospital infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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, 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

6 authors.

L CuiDepartment of Health Management, School of Medicine and Health Management, Hangzhou Normal University, Yuhang District, Hangzhou, Zhejiang, PR China.
A HeDepartment of Health Management, School of Medicine and Health Management, Hangzhou Normal University, Yuhang District, Hangzhou, Zhejiang, PR China.
X WangDepartment of Health Management, School of Medicine and Health Management, Hangzhou Normal University, Yuhang District, Hangzhou, Zhejiang, PR China.
Y WangDepartment of Nosocomial Infection Prevention and Control, Zhongnan Hospital of Wuhan University and Department of Nosocomial Infection Prevention and Control, Leishenshan Hospital, Wuhan, Hubei, PR China.
X HuangDepartment of Health Management, School of Medicine and Health Management, Hangzhou Normal University, Yuhang District, Hangzhou, Zhejiang, PR China.
Z NiDepartment of Health Management, School of Medicine and Health Management, Hangzhou Normal University, Yuhang District, Hangzhou, Zhejiang, PR China. Electronic address: ziling@hznu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the coronavirus disease 2019 pandemic, the management of nosocomial infections became even more crucial. There is an urgent need to develop a competency model for healthcare practitioners to combat public health emergencies.

aimTo determine practitioners' competency in hospital infection prevention and control measures.

methodsA theoretical framework was developed based on a literature review, key informant interviews, the Delphi method and a questionnaire survey. These items were evaluated based on response rate, maximum score, minimum score and mean score. Factor analyses, both exploratory and confirmatory, were used to determine the structure of the competency model.

resultsThe effective response rate for the questionnaire was 88.29%, and Cronbach's α-coefficient was 0.964. Factor analysis revealed a Kaiser-Meyer-Olkin score of 0.945. Bartlett's test gave a χ

conclusionThe proposed scale is a useful tool to assess the competency of hospital infection prevention and control practitioners, which can help hospitals to improve infection prevention and control.

Indexed as

COVID-19Cross InfectionHospitalsHumansPandemicsReproducibility of ResultsSARS-CoV-2Surveys and QuestionnairesCompetency modelCOVID-19Infection prevention and control practitionersNosocomial infection

Identifiers

PMID34666118
PMCPMC8520173

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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.