Preparedness of community-based organisations in biohazard: reliability and validity of an assessment tool.
Ontology highlight
ABSTRACT: The purpose of this study was to develop a tool for community-based health organisations (CBHOs) to evaluate the preparedness in biohazards concerning epidemics or bioterrorism. We searched concepts on partnerships of CBHOs with health systems in guidelines of the Centers for Disease Control and Prevention and literature. Then, we validated the researcher-made tool by face validity, content validity, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and criterion validity. Data were collected by sending the tool to 620 CBHOs serving under supervision of Iran's ministry of health. Opinions of health professionals and stakeholders in CBHOs were used to assess face and content validity. Factor loads in EFA were based on three-factor structure that verified by CFA. We used SPSS V.18 and Mplus7 software for statistical analysis. About 105 health-based CBHOs participated. After conducting face validity and calculating content validity ratio and content validity index, we reached 54 items in the field of planning, training and infrastructure. We conducted construct validity using 105 CBHOs. Three items exchanged between the fields according to factor loads in EFA, and CFA verified the model fit as Comparative Fit Index, Tucker-Lewis index and root mean square error of approximation were 0.921, 0918 and 0.052, respectively. The Cronbach's of the whole tool was 0.944. Spearman correlation coefficient confirmed criterion validity as coefficient was 0.736. Planning, training and infrastructure fields are the most important aspects of preparedness in health-based CBHOs. Applying the new assessment tool in future studies will show the weaknesses and capabilities of health-based CBHOs in biohazard and clear necessary intervention actions for health authorities.
SUBMITTER: Rezaei F
PROVIDER: S-EPMC6910748 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
ACCESS DATA