ArticleBMJ open2017
Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study.
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic Factors and Models for Predicting Work Absence in Adults with Musculoskeletal Conditions Consulting a Healthcare Practitioner: A Systematic Review.Journal of occupational rehabilitation · 2025Pooled it
- Sickness Absence Duration Across Twenty Different Pathologies: A Systematic Review.Journal of occupational rehabilitation · 2026Review
- Reflections on the Prospective Outcomes of Injury Study (POIS; 2006-2023): how population-based research can address Māori outcomes and governance.Frontiers in research metrics and analytics · 2023Article
- Economic costs and Predictors of occupation-related Injuries in Ethiopian sugar industries from the Employer's perspective: top-down approach and friction method.BMC public health · 2022Article
- POIS-10 Māori: Outcomes and Experiences in the Decade Following Injury.Methods and protocols · 2021Article
- Prospective Outcomes of Injury Study 10 Years on (POIS-10): An Observational Cohort Study.Methods and protocols · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesFew studies examine the influence of early predictors of work absence beyond 12 months following injury or the time-dependent relative importance of these factors. This study aimed to identify the most important sociodemographic, occupational, health, lifestyle and injury predictors of work absence at 12 and 24 months following injury and to examine changes in the relative importance of these over time.
designProspective cohort study.
settingThe Prospective Outcomes of Injury Study, New Zealand.
participants2626 injured New Zealand workers aged 18-64 years were identified from the Prospective Outcomes of Injury Study recruited form New Zealand's monopoly injury compensation provider injury claims register: 2092 completed the 12-month interview (80% follow-up) and 2082 completed the 24-month interview (79% follow-up). PRIMARY AND SECONDARY OUTCOMES MEASURES: The primary outcomes of interest was absence from work at the time of the 12-month and 24-month follow-up interviews.
resultsUsing modified Poisson regression to estimate relative risks, important groups of workers were identified at increased risk of work absence at both 12 and 24 months: males, low-income workers, trade/manual workers, temporary employees, those reporting two or more comorbidities and those experiencing a work-related injury. Important factors unique to predicting work absence at 12 months included financial insecurity, fixed-term employment and long weekly hours worked; unique factors at 24 months included job dissatisfaction, long weekly days worked, a prior injury and sustaining an injury that was perceived to be a threat to life.
conclusionsImportant early predictors of work absence at 12 or 24 months following injury are multidimensional and have a time dependent pattern. A consistent set of predictors was, however, present at both time periods that are prime for early intervention. Understanding the multidimensional, time-dependent patterns of early predictors of long-term disability is important to optimally target timely interventions to prevent long-term work disability.
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