Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study. 2019

Nikoloz Gambashidze, and Antje Hammer, and Tanja Manser
Institute for Patient Safety, University Hospital Bonn, Bonn, Germany nikoloz.gambashidze@ukbonn.de.

To study the psychometric properties of the Georgian version of the Hospital Survey on Patient Safety Culture (HSPSC-GE). Cross-sectional study. Three Georgian hospitals. Staff of participating hospitals (n=579 responses, response rate 41.6%). Psychometric properties (Model fit, internal consistency, construct validity) of the instrument, factor structure derived from the data. HSPSC-GE demonstrated acceptable construct validity but highly limited internal consistency (Cronbach's alpha 0.35-0.87). Confirmatory factor analysis with the original 12-factor model resulted in poor model fit (root mean square error of approximation (RMSEA)=0.06; standardised root mean square residuals (SRMR)=0.08; comparative fit index (CFI)=0.74; goodness of fit index (GFI)=0.81; Tucker-Lewis Index (TLI)=0.70). Accounting for reversed item bias resulted in improved fit indices. Exploratory factor analysis resulted in an alternative five-factor model including only 19 items, but with satisfactory model fit (RMSEA=0.07; SRMR=0.07; CFI=0.90; GFI=0.89; TLI=0.88). The HSPSC-GE as a whole demonstrated poor psychometric properties. However, a number of dimensions demonstrated acceptable internal consistency and reliability. Our results indicated presence of reversed item bias, which may be inherent to the original instrument design of the HSPSC and should be taken into account while interpreting or comparing results, as well as in analyses of psychometric properties of the instrument. Nevertheless, the HSPSC-GE provides first insights in hospital patient safety culture (PSC) in Georgia and we recommend using it in its full form to facilitate deeper analysis and further development of PSC in Georgian healthcare.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011320 Primary Health Care Care which provides integrated, accessible health care services by clinicians who are accountable for addressing a large majority of personal health care needs, developing a sustained partnership with patients, and practicing in the context of family and community. (JAMA 1995;273(3):192) Primary Care,Primary Healthcare,Care, Primary,Care, Primary Health,Health Care, Primary,Healthcare, Primary
D011594 Psychometrics Assessment of psychological variables by the application of mathematical procedures. Psychometric
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005163 Factor Analysis, Statistical A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires. Analysis, Factor,Analysis, Statistical Factor,Factor Analysis,Statistical Factor Analysis,Analyses, Factor,Analyses, Statistical Factor,Factor Analyses,Factor Analyses, Statistical,Statistical Factor Analyses
D005260 Female Females
D006761 Hospitals Institutions with an organized medical staff which provide medical care to patients. Hospital
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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