Literature DB >> 25638744

Assessment of the magnitude of geographical variations in the duration of non-work-related sickness absence by individual and contextual factors.

Isabel Torá-Rocamora1, José Miguel Martínez2, David Gimeno3, Constança Alberti4, Josefina Jardí4, Rafael Manzanera5, Fernando G Benavides2, George Delclos6.   

Abstract

OBJECTIVE: To examine variation in the duration of non-work-related sickness absence (NWRSA) across geographical areas and the degree to which this variation can be explained by individual and/or contextual factors.
METHODS: All first NWRSA episodes ending in 2007 and 2010 were analyzed. Individual (diagnosis, age, sex) and contextual factors (healthcare resources, socioeconomic factors) were analyzed to assess how much of the geographical variation was explained by these factors. Median NWRSA durations in quartiles were mapped by counties in Catalonia. Multilevel Cox proportional hazard regression models with episodes nested within counties were fitted to quantify the magnitude of this variation. The proportional change in variance (PCV), median hazard ratios (MHR) and interquartile hazard ratios (IHR) were calculated.
RESULTS: We found a geographical pattern in the duration of NWRSA, with longer duration in northwestern Catalonia. There was a small, but statistically significant, geographical variation in the duration of NWRSA, which mostly decreased after adjustment for individual factors in both women (PCV=34.98%, MHR=1.09, IHR=1.13 in 2007; PCV=34.68%, MHR=1.11, IHR=1.28 in 2010) and men (PCV=39.88%, MHR=1.10, IHR=1.27 in 2007; PCV=45.93%, MHR=1.10, IHR=1.25 in 2010); only in the case of women in 2010 was there a reduction in county-level variance due to contextual covariates (PCV=16.18%, MHR=1.12, IHR=1.32).
CONCLUSIONS: County-level variation in the duration of NWRSA was small and was explained more by individual than by contextual variables. Knowledge of geographic differences in NWRSA duration is needed to plan specific programs and interventions to minimize these differences.
Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

Entities:  

Keywords:  Análisis multilevel; Biological characteristics; Características biológicas; Características sociales; Incapacidad temporal; Multilevel analysis; Occupational health; Salud laboral; Sick leave; Social characteristics

Mesh:

Year:  2015        PMID: 25638744      PMCID: PMC8856566          DOI: 10.1016/j.gaceta.2014.12.004

Source DB:  PubMed          Journal:  Gac Sanit        ISSN: 0213-9111            Impact factor:   2.139


  36 in total

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2.  A comparison of perceived health, attitudes to work, leisure time, and social welfare systems among people in a rural area in the north of Sweden and among people in the city of Stockholm.

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Journal:  Work       Date:  2007

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4.  [Evaluation of the management of nonwork-related sick leave lasting more than 15 days in Catalonia (Spain)].

Authors:  Fernando G Benavides; Isabel Torá; José Miguel Martínez; Josefina Jardí; Rafael Manzanera; Constança Alberti; Jordi Delclós
Journal:  Gac Sanit       Date:  2010-03-04       Impact factor: 2.139

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Authors:  Xavier Duran; José Miguel Martínez; Fernando G Benavides
Journal:  Work       Date:  2013

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Authors:  C A M Roelen; P C Koopmans; J R Anema; A J van der Beek
Journal:  J Occup Rehabil       Date:  2010-03

7.  Problems in sickness certification of patients: a qualitative study on views of 26 physicians in Sweden.

Authors:  Mia von Knorring; Linda Sundberg; Anna Löfgren; Kristina Alexanderson
Journal:  Scand J Prim Health Care       Date:  2008       Impact factor: 2.581

8.  [Distribution of the duration of nonoccupational sick leave by medical diagnosis (Catalonia, Spain, 2006-2008)].

Authors:  Jordi Delclós; David Gimeno; Isabel Torá; José Miguel Martínez; Rafael Manzanera; Josefina Jardí; Constança Alberti; Fernando G Benavides
Journal:  Gac Sanit       Date:  2012-05-30       Impact factor: 2.139

9.  Health and the 2008 economic recession: evidence from the United Kingdom.

Authors:  Thomas Astell-Burt; Xiaoqi Feng
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

10.  Sickness absence as a measure of health status and functioning: from the UK Whitehall II study.

Authors:  M Marmot; A Feeney; M Shipley; F North; S L Syme
Journal:  J Epidemiol Community Health       Date:  1995-04       Impact factor: 3.710

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  3 in total

1.  Predictors of return to work with and without restrictions in public workers.

Authors:  Adriano Dias; João Marcos Bernardes; Sandro Augusto Servilha Coquemala; Juan Gómez-Salgado; Carlos Ruiz-Frutos
Journal:  PLoS One       Date:  2019-01-17       Impact factor: 3.240

2.  Six Years of Sick Leave Spells in a Group of University Civil Workers. Can Modern Work Bring Them a New Health Problem?

Authors:  Adriano Dias; João Marcos Bernardes; Miriam Malacize Fantazia; Carlos Ruiz-Frutos; Juan Gómez-Salgado
Journal:  Int J Environ Res Public Health       Date:  2018-12-21       Impact factor: 3.390

3.  Researching Complex and Multi-Level Workplace Factors Affecting Disability and Prolonged Sickness Absence.

Authors:  Vicki L Kristman; William S Shaw; Cécile R L Boot; George L Delclos; Michael J Sullivan; Mark G Ehrhart
Journal:  J Occup Rehabil       Date:  2016-12
  3 in total

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