Development and psychometric testing of an observation-based assessment tool focusing on work-related stressors among he
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(2020) 15:27
RESEARCH
Open Access
Development and psychometric testing of an observation-based assessment tool focusing on work-related stressors among health professionals: the STRAIN-External Observation of work Stressors Karin A. Peter1* , Esther Stadelmann2, Jos M. G. A. Schols3,4, Ruud J. G. Halfens5 and Sabine Hahn1
Abstract Background: Health professionals are especially affected by various stressors in their daily work, such as a high workload, physical and emotional challenges. The aim of this study was to develop and test the validity, reliability and usability of an observation-based instrument designed to assess work stressors in the healthcare sector. Methods: Using a cross sectional design, 110 health professionals were observed during one entire shift by an external observer. Factor analysis was used to test construct validity, Cronbach’s alpha to test internal consistency and correlations using Kendall’s Tau were computed to test for convergent validity. Results: For 9 out of 10 tested scales the results showed a one-factor solution for all observation scales (explained variance ranged from 55.5 to 80.2%), satisfactory reliability (Cronbach’s alpha between .67 and .92), sufficient usability and satisfactory convergent validity. Conclusions: The newly developed STRAIN-EOS, an observation-based assessment tool designed to assess stressors specifically in the healthcare sector, was shown to be potentially useful. However, further refinement and testing is necessary before it can be widely used. Keywords: Work stressors, Observation, Health professionals, Healthcare sector, Observation-based assessment
* Correspondence: [email protected] 1 Department of Applied Research & Development in Nursing, Bern University of Applied Sciences, Murtenstrasse 10, 3008 Bern, Switzerland Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Peter et al. Journal of Occupational Medicine and Toxicology
(2020) 15:27
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