Evidence map›Paper›PMID 35776753›Full record

ArticlePloS one2022

Construction of a competency evaluation index system for front-line nurses during the outbreak of major infectious diseases: A Delphi study.

Xue Bai, Xiuni Gan, Ruiqi Yang, Chuanlai Zhang, Xiaoqin Luo, Chengqin Luo, Senlin Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
9.9field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Xue BaiDepartment of Nursing, The Second Hospital of Chongqing Medical University, Chongqing, China.
Xiuni GanDepartment of Nursing, The Second Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0001-9854-7247
Ruiqi YangDepartment of Intensive Care Unit, The Second Hospital of Chongqing Medical University, Chongqing, China.
Chuanlai ZhangDepartment of Intensive Care Unit, The Second Hospital of Chongqing Medical University, Chongqing, China.
Xiaoqin LuoDepartment of Respiratory Medicine, The Second Hospital of Chongqing Medical University, Chongqing, China.
Chengqin LuoDepartment of Emergency Medicine, The Second Hospital of Chongqing Medical University, Chongqing, China.
Senlin ChenDepartment of Endocrinology and Breast Surgery, The First Hospital of Chongqing Medical University, Chongqing, China.
Dalian Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs the frequency of infectious diseases rises, it's more important than ever to pay attention to the competency level of front-line nurses as the primary force in front-line rescue, which has an impact on the quality of anti-epidemic response. This paper aims to construct the competency evaluation index system for front-line nurses during the outbreak of major infectious diseases. MATERIALS AND

methodsThis study combined literature review, critical incident technique interviews, and semi-structured in-depth interviews, as well as two rounds of Delphi expert correspondence, to construct a competence evaluation index system for front-line nurses during the outbreak of major infectious diseases. The study used purposive sampling to select 26 experts from 11 provinces and cities across China to conduct two rounds of Delphi expert consultation, and the indicators were selected based on the mean importance score > 3.5 and the coefficient of variation < 0.25, and the weights of the indicators were calculated by the Analytic Hierarchy Process. The effective recovery rates of the two rounds of correspondence questionnaires were 93.1% and 96%.

resultsThe effective recovery rates of the two rounds of correspondence questionnaires were 93.1% and 96%, the authority coefficients of experts were 0.96 and 0.98, the Kendall's coordination coefficients of the first, second, and third level indexes were 0.281, 0.132, and 0.285 (P < 0.001), 0.259, 0.158, and 0.415 (P < 0.001). The final index system includes 4 primary indicators (Knowledge System of Infectious Diseases, Nursing Skills for Infectious Diseases, Related Professional Abilities for Infectious Diseases, and Comprehensive Quality), 10 secondary indicators, and 64 tertiary indicators.

conclusionThe competency evaluation index system of front-line nurses during the outbreak of major infectious diseases is scientific, reasonable, and practical, which can provide a scientific basis for nursing managers to accurately understand, describe, analyze, and evaluate the competence level of nursing staff and scientifically implement the allocation of human resources in the future, as well as serve as a content framework for subsequent training programs.

Indexed as

Communicable DiseasesDisease OutbreaksChinaDelphi TechniqueHumansSurveys and Questionnaires

Identifiers

PMID35776753
PMCPMC9249240
OpenAlexW4283748962

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.