Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study
Objectives To study the psychometric properties of the Georgian version of the Hospital Survey on Patient Safety Culture (HSPSC-GE).Design Cross-sectional study.Setting Three Georgian hospitals.Participants Staff of participating hospitals (n=579 responses, response rate 41.6%).Primary and secondary...
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BMJ Publishing Group
2019-07-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/9/7/e030972.full |
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| author | Tanja Manser Nikoloz Gambashidze |
| author_facet | Tanja Manser Nikoloz Gambashidze |
| author_sort | Tanja Manser |
| collection | DOAJ |
| description | Objectives To study the psychometric properties of the Georgian version of the Hospital Survey on Patient Safety Culture (HSPSC-GE).Design Cross-sectional study.Setting Three Georgian hospitals.Participants Staff of participating hospitals (n=579 responses, response rate 41.6%).Primary and secondary outcome measures Psychometric properties (Model fit, internal consistency, construct validity) of the instrument, factor structure derived from the data.Results 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).Conclusions 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. |
| format | Article |
| id | doaj-art-974b5347b9f84e968b87887d05a4a5f1 |
| institution | DOAJ |
| issn | 2044-6055 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | BMJ Publishing Group |
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| series | BMJ Open |
| spelling | doaj-art-974b5347b9f84e968b87887d05a4a5f12025-08-20T02:50:26ZengBMJ Publishing GroupBMJ Open2044-60552019-07-019710.1136/bmjopen-2019-030972Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional studyTanja Manser0Nikoloz Gambashidze1School of Applied Psychology, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1 Institute for Patient Safety, University Hospital Bonn, Bonn, GermanyObjectives To study the psychometric properties of the Georgian version of the Hospital Survey on Patient Safety Culture (HSPSC-GE).Design Cross-sectional study.Setting Three Georgian hospitals.Participants Staff of participating hospitals (n=579 responses, response rate 41.6%).Primary and secondary outcome measures Psychometric properties (Model fit, internal consistency, construct validity) of the instrument, factor structure derived from the data.Results 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).Conclusions 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.https://bmjopen.bmj.com/content/9/7/e030972.full |
| spellingShingle | Tanja Manser Nikoloz Gambashidze Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study BMJ Open |
| title | Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study |
| title_full | Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study |
| title_fullStr | Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study |
| title_full_unstemmed | Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study |
| title_short | Psychometric properties of the Georgian version of Hospital Survey on Patient Safety Culture: a cross-sectional study |
| title_sort | psychometric properties of the georgian version of hospital survey on patient safety culture a cross sectional study |
| url | https://bmjopen.bmj.com/content/9/7/e030972.full |
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