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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lilley, Rebbecca, Davie, Gabrielle, Derrett, Sarah
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