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ABSTRACT: Aim
The present study aimed to evaluate the psychometric properties of the Persian version of the 'Intensive Care Unit Dignified Care Questionnaire (IDCQ)' among Iranian nurses.Design
A methodological and psychometric study was conducted in 2022, involving nurses from six teaching hospitals in Kermanshah, Western Iran.Methods
The IDCQ was translated into Persian using a forward-backward translation method. Construct validity was assessed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), employing a stratified sampling method with 455 critical care nurses. Internal consistency was gauged using Cronbach's alpha coefficient, while reliability was determined through the test-retest method. Analyses were performed using SPSS version 26 and Lisrel version 8 software.Results
EFA and CFA validated the instrument's two-factor, 17-item structure. The CFA indicated a well-fitting model with fit indices: CFI = 0.93, NNFI = 0.92, GFI = 0.861, RMSEA = 0.051 and SRMR = 0.046. Pearson's correlation coefficient substantiated a significant relationship between the items, subscales and the overall scale. The instrument's reliability was confirmed by a Cronbach's α coefficient of 0.88 and a test-retest reliability of 0.86.Conclusion
The Persian version of the IDCQ, comprising two factors and 17 items, has been validated as a reliable and applicable tool for use within the Iranian nursing community.
SUBMITTER: Jalali A
PROVIDER: S-EPMC11231042 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature

Nursing open 20240701 7
<h4>Aim</h4>The present study aimed to evaluate the psychometric properties of the Persian version of the 'Intensive Care Unit Dignified Care Questionnaire (IDCQ)' among Iranian nurses.<h4>Design</h4>A methodological and psychometric study was conducted in 2022, involving nurses from six teaching hospitals in Kermanshah, Western Iran.<h4>Methods</h4>The IDCQ was translated into Persian using a forward-backward translation method. Construct validity was assessed through exploratory factor analysi ...[more]