Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability

• Published in: Journal of patient safety Vol. 18; no. 3; pp. 193 - 200
• Main Authors: Glarcher, Manela, Kaiser, Karin, Nestler, Nadja, Kutschar, Patrick
• Format: Journal Article
• Language: English
• Published: United States Lippincott Williams & Wilkins 01-04-2022
• Subjects: Austria; Cross-Sectional Studies; Humans; Organizational Culture; Original Studies; Psychometrics; Reproducibility of Results; Surveys and Questionnaires; Austria
• ISSN: 1549-8417; 1549-8425
• DOI: 10.1097/PTS.0000000000000888

Hospitals are complex organizations with a potential for medical errors that can be influenced by safety culture. Safety climate, as measurable element of safety culture, illustrates the perception of safety-relevant aspects of health care staff at a certain time. The Safety Climate Survey is applied internationally to measure safety climate. However, psychometrics for the German version of the survey have yet not been evaluated. The aim of this study is to explore the factor structure, reliability, and potential usefulness of the Safety Climate Survey in Austrian acute care.
Cross-sectional surveys of physicians, therapists, and nurses/midwives were implemented. An exploratory factor analysis was carried out, both in total sample and split by 2 selected professions. After deriving a factor structure for both professions, internal consistency and scale means were calculated for the subscales. Finally, mean subscale differences between physicians and nurses/midwives were tested.
Of 5160 eligible staff, 933 respondents participated. A 6-factor solution explaining 59.1% of total variance was identified. Comparison by profession illustrated that the factor structures and item loading patterns differ between physicians and nurses/midwives. To achieve an overarching solution, 5 items were excluded from consecutive subscale measures because of cross-loadings and contradictory factor loadings. Subscales demonstrated good to low internal consistency (α = 0.794-0.535). Significant mean differences between subscales of professions were found relating to 3 factors.
The German Safety Climate Survey measures safety climate multidimensionally rather than unidimensionally and demonstrated some limitations in factor structures and item loadings but overall had satisfactory reliability of the 6 subscales.