ABSTRACT
STUDY DESIGN: Descriptive cross-sectional study. PURPOSE: To validate the Persian version of the Million Visual Analogue Scale Questionnaire (MVAS), a self-administered low back pain (LBP) questionnaire. OVERVIEW OF LITERATURE: The majority of LBP questionnaires translated into Persian evaluate the impact of LBP on daily living. The MVAS is one of the most commonly used self-administered LBP questionnaires, and was developed to assess a different direction and effect of activities of daily living on LBP intensity. METHODS: The questionnaire was translated into Persian with the forward-backward method and was administered to 150 patients randomly sampled from an occupational medicine clinic in Tehran in 2017. RESULTS: Cronbach's alpha for all subscales ranged between 0.670 and 0.799. Confirmatory factor analysis showed adequate construct validity of the Persian version of the MVAS, with root mean square error of approximation 0.046, goodness of fit index 0.902, and comparative fit index 0.969. Other indexes were satisfactory. CONCLUSIONS: The Persian MVAS is a valid and reliable instrument that can assess the effect of various daily activities on the intensity of LBP.
ABSTRACT
BACKGROUND: Paying attention to the safety of hospitals, as the most crucial institute for providing medical and health services wherein a bundle of facilities, equipment, and human resource exist, is of significant importance. OBJECTIVE: The present research aims at developing a model for assessing hospitals' safety based on principles of inherent safety design. METHODS: Face validity (30 experts), content validity (20 experts), construct validity (268 examples), convergent validity, and divergent validity have been employed to validate the prepared questionnaire; and the items analysis, the Cronbach's alpha test, ICC test (to measure reliability of the test), composite reliability coefficient have been used to measure primary reliability. The relationship between variables and factors has been confirmed at 0.05 significance level by conducting confirmatory factor analysis (CFA) and structural equations modeling (SEM) technique with the use of Smart-PLS. RESULTS: R-square and load factors values, which were higher than 0.67 and 0.300 respectively, indicated the strong fit. Moderation (0.970), simplification (0.959), substitution (0.943), and minimization (0.5008) have had the most weights in determining the inherent safety of hospital respectively. CONCLUSIONS: Moderation, simplification, and substitution, among the other dimensions, have more weight on the inherent safety, while minimization has the less weight, which could be due do its definition as to minimize the risk.
