RESUMEN
STUDY DESIGN: Psychometric evaluation design. PURPOSE: Psychometric evaluation of a multidisciplinary work-related low back pain predictor questionnaire (MWRLBPPQ) of Iranians patient-care workers based on the social cognitive theory. OVERVIEW OF LITERATURE: Healthcare is one of the professions in which work-related musculoskeletal disorders are prevalent. The chronic low back pain experienced by patient caregivers can negatively impact their professional performance, and patient handling in a hospital is the main cause of low back pain in this population. METHODS: This was a cross-sectional study carried out in Qom, Iran from July 2014 to November 2014. A MWRLBPPQ based on nine concepts of the social cognitive theory and existing literature regarding chronic low back pain was developed. Ten patient-care workers first completed the questionnaire as a pilot test, allowing the ambiguities of the instrument to be resolved. Exploratory factor analysis was used to confirm construct validity. This questionnaire was distributed among 452 patient-care workers in hospitals located in different geographically areas in Qom, Iran. Cronbach's Alpha was calculated to assess reliability. RESULTS: In all, 452 caregivers of patients with mean age of 37.71 (standard deviation=8.3) years participated in the study. An exploratory factor analysis loaded seven concepts of self-efficacy, knowledge, outcome perception, self-control, emotional coping, and self-efficacy in overcoming impediments and challenges in the environment. All concepts were jointly accounted for 50.08% of variance of behavior change. The Cronbach's alpha coefficient showed favorable internal consistency (alpha=0.83), and test-retest of the scale with 2-week intervals indicated an appropriate stability for the MWRLBPPQ. CONCLUSIONS: The MWRLBPPQ is a reliable and valid theory-based instrument that can be used to predict factors influencing work-related low back pain among workers who lift and transfer patients in hospitals.
Asunto(s)
Humanos , Cuidadores , Estudios Transversales , Atención a la Salud , Irán , Dolor de la Región Lumbar , Movimiento y Levantamiento de Pacientes , Psicometría , AutocontrolRESUMEN
STUDY DESIGN: Psychometric evaluation design. PURPOSE: Psychometric evaluation of a multidisciplinary work-related low back pain predictor questionnaire (MWRLBPPQ) of Iranians patient-care workers based on the social cognitive theory. OVERVIEW OF LITERATURE: Healthcare is one of the professions in which work-related musculoskeletal disorders are prevalent. The chronic low back pain experienced by patient caregivers can negatively impact their professional performance, and patient handling in a hospital is the main cause of low back pain in this population. METHODS: This was a cross-sectional study carried out in Qom, Iran from July 2014 to November 2014. A MWRLBPPQ based on nine concepts of the social cognitive theory and existing literature regarding chronic low back pain was developed. Ten patient-care workers first completed the questionnaire as a pilot test, allowing the ambiguities of the instrument to be resolved. Exploratory factor analysis was used to confirm construct validity. This questionnaire was distributed among 452 patient-care workers in hospitals located in different geographically areas in Qom, Iran. Cronbach's Alpha was calculated to assess reliability. RESULTS: In all, 452 caregivers of patients with mean age of 37.71 (standard deviation=8.3) years participated in the study. An exploratory factor analysis loaded seven concepts of self-efficacy, knowledge, outcome perception, self-control, emotional coping, and self-efficacy in overcoming impediments and challenges in the environment. All concepts were jointly accounted for 50.08% of variance of behavior change. The Cronbach's alpha coefficient showed favorable internal consistency (alpha=0.83), and test-retest of the scale with 2-week intervals indicated an appropriate stability for the MWRLBPPQ. CONCLUSIONS: The MWRLBPPQ is a reliable and valid theory-based instrument that can be used to predict factors influencing work-related low back pain among workers who lift and transfer patients in hospitals.