Published in:
01-02-2020 | Original Paper
Returning to Work Following an Injury: Practical Usage of a Predictive Model Based on a Nationwide Study
Authors:
Bella Savitsky, Irina Radomislensky, Sharon Goldman, Natalia Gitelson, Zhanna Frid, Kobi Peleg
Published in:
Journal of Community Health
|
Issue 1/2020
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Abstract
Work absenteeism following an injury creates an economic burden on society and the individual. Programs encouraging return to work (RTW) should be implemented for high risk populations. The aim of this study was to identify the predictors for duration until RTW following an injury. The Israeli National Trauma Registry and the National Insurance Institute database (2008–2013) were linked. Logistic-regression models tested the probability not RTW within 1 month, 1 year and 2 years among 67% of the population and the quality of the model was examined among 33% of the population. The study population comprised 45,291 casualties (aged 21–67 and employed prior to injury as salaried workers). The majority of the study population (61%) RTW within 1 month from the injury event. Injury severity, multiple injuries, brain injury, traffic related injuries and fall injuries were significantly associated with work absenteeism. A dose–response relationship was found between income and not RTW: the lower the income the greater was the chance of not RTW. Among casualties with occupational injuries the odds for not RTW within a month, a year and 2 years were respectively, 3.7, 2.4 and 2 times significantly greater in comparison with casualties not injured at work. Underprivileged ethnic groups (Arabs and immigrants from Ethiopia) had a greater chance for long out of work stay following an injury. The outcomes of this study identified casualties at high risk for not RTW and enables health professionals to develop intervention programs focusing on returning to a productive lifestyle.