Psychometric properties of the Turkish version of the moral distress-appraisal scale for nurses
Moral distress causes frustration, guilt, anger, stress, sadness, anxiety, fear, burnout, insecurity, and depression in nurses, and this is reflected in their work performances. Therefore, internationally validated tools and methodological studies are needed to measure moral distress among nurses. T...
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Veröffentlicht in: | Archives of psychiatric nursing 2023-10, Vol.46, p.21-25 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Moral distress causes frustration, guilt, anger, stress, sadness, anxiety, fear, burnout, insecurity, and depression in nurses, and this is reflected in their work performances. Therefore, internationally validated tools and methodological studies are needed to measure moral distress among nurses. This study aims to evaluate the psychometric properties of the Turkish version of the Moral Distress-Appraisal Scale (MD-APPS) among nurses in Turkey. Psychometric properties of the Turkish version of the Moral Distress-Appraisal Scale (MD-APPS), which included internal consistency reliability and construct validity with factor analysis, were examined in a sample of 420 nurses working in different hospitals in Turkey completed the study between February and July 2022. The content validity index of the Turkish version of the MD-APPS based on expert opinions was 0.90. Through exploratory factor analysis for construct validity, a two-factor structure was obtained as in the original scale. The variance explained by these two factors was 56.67 %. Confirmatory factor analysis showed that the scale was valid, while internal consistency coefficient and test–retest results demonstrated that the scale was reliable. The Turkish version of the MD-APPS is a valid and reliable tool for evaluating moral distress among nurses.
•It is important to evaluate the psychometric properties of tools adapted from different languages for that population.•Turkish version of the MD-APPS is validity and reliability.•In the factor analysis, all of the items and factors are similar to the original version of the MD-APPS. |
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ISSN: | 0883-9417 1532-8228 |
DOI: | 10.1016/j.apnu.2023.06.019 |