evaluation of mackey childbirth satisfaction rating scale in iran: what are the psychometric properties?

background with the integration of the evaluation of patient satisfaction in the overall assessment of healthcare services, authorities can be assured about the alignment of these services with patient needs and the suitability of care provided at the local level. objectives this study was conducted in 2013 in zahedan, iran, in order to assess the psychometric properties of the iranian version of the mackey childbirth satisfaction rating scale (mcsrs). patients and methods for this study, a methodological design was used. after translating the mcsrs and confirming its initial validity, the questionnaires were distributed among women with uncomplicated pregnancies and no prior history of cesarean section. the participants had given birth to healthy, full-term, singletons (with cephalic presentation) via normal vaginal delivery at hospitals within the past six months. cronbach’s alpha and test-retest (via the intraclass correlation coefficient) were applied to analyze the internal consistency and reliability of the scale. moreover, the validity of the scale was tested via exploratory factor analysis, confirmatory factor analysis, and convergent validity. conclusions the study findings indicated the farsi version of the mcsrs is a reliable and valid instrument. however, according to the reliability assessment and factor analysis, the “baby” and “self” subscales need further revisions. results the mcsrs consists of six subscales. through the process of validation, two partner-related items (“partner” subscale) of the scale were excluded due to cultural barriers and hospital policies. cronbach’s alpha for the total scale was 0.78. it ranged between 0.70 and 0.86 for five subscales, and was 0.31 for the “baby” subscale. factor analysis confirmed the subscales of “nurse,” “physician,” and “baby,” which were identified in the original scale. however, in the translated version, the “self” subscale was divided into two separate dimensions. the six subscales explained 70.37% of the variance. confirmatory factor analysis indicated a good fitness for the new model. convergent validity showed a significant correlation between the mcsrs and the servqual scale (r = 0.72, p < 0.001). moreover, the farsi version of the mcsrs showed excellent repeatability (r = 0.81 - 0.96 for individual subscales and r = 0.96 for the entire scale).