Batia S Marom1, Navah Z Ratzon2, Rafael S Carel3, Moshe Sharabi4. 1. Occupational Therapy Unit, Clalit Health Services, North and Haifa District, School of Public Health, The University of Haifa, Haifa, Israel. Electronic address: batiamarom2@clalit.org.il. 2. Department of Occupational Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. 3. School of Public Health, The University of Haifa, Haifa, Israel. 4. Sociology and Anthropology Department, Max Stern Yezreel Valley College, Yezreel Valley, Israel.
Abstract
OBJECTIVE: To determine time of return to work (TRTW) in relation to multivariable predictors among male manual workers after hand injury (HI) over a 12-month follow-up. DESIGN: A cohort study with baseline medical information, functional evaluation, and 3-, 6-, 9-, and 12-month follow-up telephone interviews. SETTING: Seven physical rehabilitation community occupational therapy clinics. PARTICIPANTS: Participants (N=178) with acute HI aged 22-65. Two participants were lost to follow-up. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: The dependent variable was TRTW. The independent variables originated from 4 domains: personal factors, environmental factors, body function and structure, and activity limitation and participation restriction. The proportion of return to work (RTW) at each time point was calculated. Multiple Cox regressions established a predictive model for TRTW. RESULTS: At the end of the study, 75.3% participants returned to work. The median TRTW was 94 days. In the final model, only compensation factors and education contributed significantly to overall RTW, but when separate analyses were performed, decreased level of self-efficacy, higher workplace demands, level of pain, level of emotional response to trauma, reduced physical capability of the hand, and higher level of disability were significantly associated with delayed TRTW. CONCLUSIONS: TRTW was determined by the physical capability of the hand, pain, and psychosocial factors, but it was also affected by legal factors. Participants who did not return to work during the first 9 months are at risk for long-term disability. Developing treatment programs for those who are at risk for not returning to work, taking into consideration these factors, is recommended.
OBJECTIVE: To determine time of return to work (TRTW) in relation to multivariable predictors among male manual workers after hand injury (HI) over a 12-month follow-up. DESIGN: A cohort study with baseline medical information, functional evaluation, and 3-, 6-, 9-, and 12-month follow-up telephone interviews. SETTING: Seven physical rehabilitation community occupational therapy clinics. PARTICIPANTS: Participants (N=178) with acute HI aged 22-65. Two participants were lost to follow-up. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: The dependent variable was TRTW. The independent variables originated from 4 domains: personal factors, environmental factors, body function and structure, and activity limitation and participation restriction. The proportion of return to work (RTW) at each time point was calculated. Multiple Cox regressions established a predictive model for TRTW. RESULTS: At the end of the study, 75.3% participants returned to work. The median TRTW was 94 days. In the final model, only compensation factors and education contributed significantly to overall RTW, but when separate analyses were performed, decreased level of self-efficacy, higher workplace demands, level of pain, level of emotional response to trauma, reduced physical capability of the hand, and higher level of disability were significantly associated with delayed TRTW. CONCLUSIONS: TRTW was determined by the physical capability of the hand, pain, and psychosocial factors, but it was also affected by legal factors. Participants who did not return to work during the first 9 months are at risk for long-term disability. Developing treatment programs for those who are at risk for not returning to work, taking into consideration these factors, is recommended.
Authors: Po-Ching Chu; Wei-Shan Chin; Yue Leon Guo; Judith Shu-Chu Shiao Journal: Int J Environ Res Public Health Date: 2019-01-15 Impact factor: 3.390
Authors: José-María Figueredo; Cristina García-Ael; Andrea Gragnano; Gabriela Topa Journal: Int J Environ Res Public Health Date: 2020-10-15 Impact factor: 3.390