Cargando…
Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study
OBJECTIVES: Few 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 w...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702023/ https://www.ncbi.nlm.nih.gov/pubmed/29150466 http://dx.doi.org/10.1136/bmjopen-2017-017390 |
_version_ | 1783281443037773824 |
---|---|
author | Lilley, Rebbecca Davie, Gabrielle Derrett, Sarah |
author_facet | Lilley, Rebbecca Davie, Gabrielle Derrett, Sarah |
author_sort | Lilley, Rebbecca |
collection | PubMed |
description | OBJECTIVES: Few 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. DESIGN: Prospective cohort study. SETTING: The Prospective Outcomes of Injury Study, New Zealand. PARTICIPANTS: 2626 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. RESULTS: Using 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. CONCLUSIONS: Important 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. |
format | Online Article Text |
id | pubmed-5702023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-57020232017-11-27 Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study Lilley, Rebbecca Davie, Gabrielle Derrett, Sarah BMJ Open Public Health OBJECTIVES: Few 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. DESIGN: Prospective cohort study. SETTING: The Prospective Outcomes of Injury Study, New Zealand. PARTICIPANTS: 2626 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. RESULTS: Using 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. CONCLUSIONS: Important 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. BMJ Publishing Group 2017-11-16 /pmc/articles/PMC5702023/ /pubmed/29150466 http://dx.doi.org/10.1136/bmjopen-2017-017390 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Public Health Lilley, Rebbecca Davie, Gabrielle Derrett, Sarah Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study |
title | Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study |
title_full | Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study |
title_fullStr | Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study |
title_full_unstemmed | Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study |
title_short | Are the early predictors of long-term work absence following injury time dependent? Results from the Prospective Outcomes of Injury Study |
title_sort | are the early predictors of long-term work absence following injury time dependent? results from the prospective outcomes of injury study |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702023/ https://www.ncbi.nlm.nih.gov/pubmed/29150466 http://dx.doi.org/10.1136/bmjopen-2017-017390 |
work_keys_str_mv | AT lilleyrebbecca aretheearlypredictorsoflongtermworkabsencefollowinginjurytimedependentresultsfromtheprospectiveoutcomesofinjurystudy AT daviegabrielle aretheearlypredictorsoflongtermworkabsencefollowinginjurytimedependentresultsfromtheprospectiveoutcomesofinjurystudy AT derrettsarah aretheearlypredictorsoflongtermworkabsencefollowinginjurytimedependentresultsfromtheprospectiveoutcomesofinjurystudy |