Login / Signup

Safety Performance of Healthcare Professionals: Validation and Use of the Adapted Workplace Health and Safety Instrument.

Lina HeierNikoloz GambashidzeJudith HammerschmidtDonia RiouchiMatthias WeiglAndrew NealAndrea IcksPeter BrossartFranziska GeiserNicole Ernstmann
Published in: International journal of environmental research and public health (2021)
Improving patient safety and reducing occupational accidents are two of the main challenges in healthcare. Instruments to measure safety performance and occupational safety are rare. This study aimed to prepare and validate a German version of the adapted workplace health and safety instrument to assess the safety performance of healthcare professionals. Overall, 168 healthcare professionals participated in this explorative cross-sectional study. The instrument consists of 16 items related to safety performance in four dimensions. We calculated mean values and standard deviations for each individual item and those of the four dimensions of the instrument. We evaluated internal consistency and construct validity, explored the dimensionality of the instrument through exploratory factor analysis, and tested how our data fit with the original model with confirmatory factor analysis. Among the participants, 73.8% were nurses and nurses in training, with the majority of the sample being female (71.9%) and younger than 30 (52.5%). Cronbach's alpha for all four dimensions was >0.7. All items were loaded on factors according to the original theoretical model. Confirmatory factor analysis showed good model fit (normed χ²/df = 1.43 (≤2.5), root mean square error of approximation = 0.06 (≤0.07), goodness of fit index = 0.90 (>0.90), comparative fit index = 0.95 (≥0.90), and Tucker-Lewis index = 0.93 (>0.90). The German version of the instrument demonstrated acceptable properties and was a good fit to the original theoretical model, allowing measurement of healthcare professionals' safety knowledge, motivation, compliance, and participation.
Keyphrases
  • healthcare
  • patient safety
  • mental health
  • patient reported outcomes
  • public health
  • machine learning
  • psychometric properties
  • big data
  • health insurance