Literature DB >> 11876832

Estimating the population at risk for Ontario Workplace Safety and Insurance Board-covered injuries or diseases.

Dianne Zakaria1, James Robertson, Joy C MacDermid, Kathleen Hartford, John Koval.   

Abstract

Difficulty in quantifying the population at risk for a work-related injury or disease limits the usefulness of workers' compensation data for surveillance. This article presents a method of obtaining estimates of the Ontario Workplace Safety and Insurance Board (OWSIB)- covered workforce using the Canadian Labour Force Survey (LFS). The method involves extracting that class of worker most likely to be insured by the OWSIB and using actual hours worked to estimate full-time equivalents at risk. Compared to population at risk estimates readily available from published tables, the refined crude estimate was 26% lower and ranged from 15 to 79% lower depending on the age group. The percentage decrease from published estimates was generally greater for women compared to men, particularly in the 25 to 39 year age categories. Consequently, the method of deriving population at risk estimates should be considered when comparing rates across sexes, ages, industries or occupations.

Entities:  

Mesh:

Year:  2002        PMID: 11876832

Source DB:  PubMed          Journal:  Chronic Dis Can        ISSN: 0228-8699


  5 in total

1.  A shortened version of the Western ontario rotator cuff disability index: development and measurement properties.

Authors:  Helen Razmjou; Paul Stratford; Richard Holtby
Journal:  Physiother Can       Date:  2012-04-05       Impact factor: 1.037

2.  Psychometric Properties of the OSPRO-YF Screening Tool in Patients with Shoulder Pathology.

Authors:  Helen Razmjou; Veronica Palinkas; Susan Robarts; Deborah Kennedy
Journal:  Physiother Can       Date:  2021       Impact factor: 1.037

3.  All-arthroscopic versus mini-open repair of small or moderate-sized rotator cuff tears: a protocol for a randomized trial [NCT00128076].

Authors:  Joy C MacDermid; Richard Holtby; Helen Razmjou; Dianne Bryant
Journal:  BMC Musculoskelet Disord       Date:  2006-03-10       Impact factor: 2.362

4.  Using the modified Delphi method to establish clinical consensus for the diagnosis and treatment of patients with rotator cuff pathology.

Authors:  Breda H Eubank; Nicholas G Mohtadi; Mark R Lafave; J Preston Wiley; Aaron J Bois; Richard S Boorman; David M Sheps
Journal:  BMC Med Res Methodol       Date:  2016-05-20       Impact factor: 4.615

5.  Sex and gender disparity in pathology, disability, referral pattern, and wait time for surgery in workers with shoulder injury.

Authors:  Helen Razmjou; Sandra Lincoln; Iona Macritchie; Robin R Richards; Danielle Medeiros; Amr Elmaraghy
Journal:  BMC Musculoskelet Disord       Date:  2016-09-21       Impact factor: 2.362

  5 in total

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