Literature DB >> 16570253

Duration of work disability: a comparison of self-report and administrative data.

Jason D Pole1, Renée-Louise Franche, Sheilah Hogg-Johnson, Marjan Vidmar, Niklas Krause.   

Abstract

BACKGROUND: Studies have used insurer-reported compensable days absent as an outcome measure when studying work-related injury or illness. Compared to self-reported days absent, insurer data are less expensive to collect. Previous work has identified that insurer-claims data consistently underestimate the duration of days absent when compared to self-report. The objective of this study was to examine the agreement between the number of self-reported days absent from work following a compensable work-related injury and the number of insurer-reported compensation days paid, and to examine factors associated with the magnitude of the discrepancy between the number of self-reported days absent and the number of insurer-reported compensated days paid.
METHODS: One hundred sixty six respondents who experienced a work-related injury were interviewed approximately 200 days post-injury to assess the number of days absent from work. The number of days compensated by the insurer was compared to self-report using descriptive statistics and linear regression.
RESULTS: Respondents who had yet to experience a return-to-work (RTW) had the largest median discrepancy followed by respondents with an unsustained RTW and finally sustained RTW. Respondents with upper extremity injuries, lower education, and lower RTW self-efficacy showed greater discrepancy between self-reported and compensated days absent. Among respondents who self-reported fewer days absent than insurer-compensated days absent an inverse relationship between firm size and discrepancy was noted.
CONCLUSIONS: Researchers should be aware of the discrepancies between self-reported and compensated days absent. Future studies planning to incorporate days absent as an outcome variable should carefully consider what measure would be more appropriate and potentially collect both self-report and administrative data to assess the discrepancy. Copyright 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16570253     DOI: 10.1002/ajim.20300

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  21 in total

1.  Obesity and injury-related absenteeism in a population-based firefighter cohort.

Authors:  Walker S C Poston; Nattinee Jitnarin; C Keith Haddock; Sara A Jahnke; Brianne C Tuley
Journal:  Obesity (Silver Spring)       Date:  2011-06-02       Impact factor: 5.002

2.  A prospective study of the effectiveness of early intervention with high-risk back-injured workers--a pilot study.

Authors:  I Z Schultz; J Crook; J Berkowitz; R Milner; G R Meloche; M L Lewis
Journal:  J Occup Rehabil       Date:  2008-04-11

Review 3.  Exploring the diversity of conceptualizations of work (dis)ability: a scoping review of published definitions.

Authors:  Valérie Lederer; Patrick Loisel; Michèle Rivard; François Champagne
Journal:  J Occup Rehabil       Date:  2014-06

Review 4.  Measuring return to work.

Authors:  Radoslaw Wasiak; Amanda E Young; Richard T Roessler; Kathryn M McPherson; Mireille N M van Poppel; Johannes R Anema
Journal:  J Occup Rehabil       Date:  2007-10-11

5.  Predictors of time lost from work following a distal radius fracture.

Authors:  Joy C MacDermid; James H Roth; Robert McMurtry
Journal:  J Occup Rehabil       Date:  2007-01-24

6.  The recovery patterns of back pain among workers with compensated occupational back injuries.

Authors:  Cynthia Chen; Sheilah Hogg-Johnson; Peter Smith
Journal:  Occup Environ Med       Date:  2007-03-26       Impact factor: 4.402

7.  The economic consequences of obesity and overweight among adults in Quebec.

Authors:  Chantal Blouin; Denis Hamel; Nathalie Vandal; Amadou Diogo Barry; Ernest Lo; Guy Lacroix; Johanne Laguë; Marie-France Langlois; Sylvie Martel; Pierre-Carl Michaud; Louis Pérusse
Journal:  Can J Public Health       Date:  2017-03-01

8.  Test-Retest Reliability, Agreement and Responsiveness of Productivity Loss (iPCQ-VR) and Healthcare Utilization (TiCP-VR) Questionnaires for Sick Workers with Chronic Musculoskeletal Pain.

Authors:  Timo T Beemster; Judith M van Velzen; Coen A M van Bennekom; Michiel F Reneman; Monique H W Frings-Dresen
Journal:  J Occup Rehabil       Date:  2019-03

9.  How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data.

Authors:  Meghan E Short; Ron Z Goetzel; Xiaofei Pei; Maryam J Tabrizi; Ronald J Ozminkowski; Teresa B Gibson; Dave M Dejoy; Mark G Wilson
Journal:  J Occup Environ Med       Date:  2009-07       Impact factor: 2.162

10.  Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality.

Authors:  Christina Malmose Stapelfeldt; Chris Jensen; Niels Trolle Andersen; Nils Fleten; Claus Vinther Nielsen
Journal:  BMC Public Health       Date:  2012-08-15       Impact factor: 3.295

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