Development and preliminary validation of a public health emergency competency model for medical staffs of national health emergency teams in China.
BMC Health Serv Res
; 22(1): 1033, 2022 Aug 13.
Article
in English
| MEDLINE | ID: covidwho-2002169
ABSTRACT
BACKGROUND:
In the present study, we attempted to develop and validate a participatory competency model for medical workers and then evaluate the current status of competency characteristics of Chinese medical workers.METHODS:
The competency model was constructed in a multistage process, including literature review, expert consultation, critical incident and focus group interview. A pilot study was conducted to refine the initial model among 90 participators and the viability and reliability were evaluated by a questionnaire survey among 121 medical workers. Then, the current status of competency characteristics was measured based on the final version of competency model.RESULTS:
In the pilot study, ten questionnaires were dropped for the poor quality and thus the eligible rate was 92% (138/150). KMO value was 0.785 and Bartlett test showed that the χ2 = 6464.546 (df = 903) and p value < 0.001. Then, 10 items with double loading and factor loading < 0.4 were deleted. Finally, 33 items were retained with the lowest factor loading value of 0.465. The validity and reliability of competency model were determined with Cronbach's α coefficient of 0.975 and ICC value of 0.933. Finally, a revised competency model with 5 dimensions and 31 items was obtained. The overall competencies of current medical workers were in a high level, except for emergency knowledge related competencies. Age was an independent factor affecting the competencies.CONCLUSIONS:
Our competency model was a reliable and validated tool for assessing the competences of medical staffs against public health emergencies, and the overall competencies of current medical workers in China were in a high level, except for emergency knowledge related competencies.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Public Health
/
Clinical Competence
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Qualitative research
/
Randomized controlled trials
/
Reviews
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
BMC Health Serv Res
Journal subject:
Health Services Research
Year:
2022
Document Type:
Article
Affiliation country:
S12913-022-08361-z
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