학술논문
Validation and psychometric properties of the Persian version of the MISSCARE survey
Document Type
Academic Journal
Author
Source
Nursing Open. September 2023, Vol. 10 Issue 9, p6058, 9 p.
Subject
Language
English
Abstract
INTRODUCTION The quality of nursing services is a major factor in patient safety (Kim et al., 2018). Missed care is a quality index identified for nursing care and patient safety [...]
: Aim: To conduct, translate, and psychometric evaluation of the MISSCARE‐Persian Survey. Design: A cross‐sectional study was conducted in Iran in February–June 2021. Methods: The translation of the MISSCARE Survey was accomplished according to World Health Organization (WHO) guidelines. Construct validity was performed by (N = 300) exploratory factor analysis and confirmation. To assess the reliability, internal consistency was assessed using Cronbach's alpha coefficient, and relative stability was assessed using the interclass correlation coefficient (ICC). The study adhered to COSMIN guidelines. Results: The exploratory factor analysis, which resulted in the identification of three factors in the second part of the tool, explained 79.6% of the total variance. Confirmatory factor analysis indicated the model's good fit of information. The reliability of the first and second parts of the tool was 0.912 and 0.901, respectively. Additionally, the ICC was found to be 0.687 for the first and 0.706 for the second part of the tool.
: Aim: To conduct, translate, and psychometric evaluation of the MISSCARE‐Persian Survey. Design: A cross‐sectional study was conducted in Iran in February–June 2021. Methods: The translation of the MISSCARE Survey was accomplished according to World Health Organization (WHO) guidelines. Construct validity was performed by (N = 300) exploratory factor analysis and confirmation. To assess the reliability, internal consistency was assessed using Cronbach's alpha coefficient, and relative stability was assessed using the interclass correlation coefficient (ICC). The study adhered to COSMIN guidelines. Results: The exploratory factor analysis, which resulted in the identification of three factors in the second part of the tool, explained 79.6% of the total variance. Confirmatory factor analysis indicated the model's good fit of information. The reliability of the first and second parts of the tool was 0.912 and 0.901, respectively. Additionally, the ICC was found to be 0.687 for the first and 0.706 for the second part of the tool.