ArticleJournal of community health2020
Returning to Work Following an Injury: Practical Usage of a Predictive Model Based on a Nationwide Study.
Article in Journal of community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Racial and Ethnic Inequities in the Return-to-Work of Workers Experiencing Injury or Illness: A Systematic Review.Journal of occupational rehabilitation · 2023Pooled it
- Cost-Consequence Analysis of the Return to Work (RTW) Program for Workers with Disabilities in Indonesia: Health, Economic and Productivity Outcomes.Journal of occupational rehabilitation · 2026Article
- Employment Characteristics and Risk of Hospitalization Among Older Adults Participating in the Mayo Clinic Biobank.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022Article
- Socio-economic disparities and returning to work following an injury.Israel journal of health policy research · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
31485793What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.