View in EDS PDF Full Text

Underreporting Work Absences for Nontraumatic Work-Related Musculoskeletal Disorders to Workers' Compensation: Results of a 2007-2008 Survey of the Que´ bec Working Population.

Saved in:
Bibliographic Details
Title: Underreporting Work Absences for Nontraumatic Work-Related Musculoskeletal Disorders to Workers' Compensation: Results of a 2007-2008 Survey of the Que´ bec Working Population.
Authors: Stock, Susan (AUTHOR), Nicolakakis, Nektaria (AUTHOR), Raïq, Hicham (AUTHOR), Messing, Karen (AUTHOR), Lippel, Katherine (AUTHOR), Turcot, Alice (AUTHOR)
Source: American Journal of Public Health. Mar2014, Vol. 104 Issue 3, pe94-e101. 8p. 1 Diagram, 2 Charts, 1 Graph.
Subjects: Workers' compensation statistics, Surveys, Workers' compensation, Confidence intervals, Employees, Epidemiology, Experience, Income, Diagnosis of musculoskeletal system diseases, Occupational diseases, Research funding, Self-evaluation, Statistical hypothesis testing, Time, Labor unions, Health insurance reimbursement, Data analysis, Multiple regression analysis, Disease prevalence, Statistical models, Descriptive statistics
Geographic Terms: Québec (Province)
Abstract: Objectives. We examined underestimation of nontraumatic work-related musculoskeletal disorders (WMSDs) stemming from underreporting to workers' compensation (WC). Methods. In data from the 2007 to 2008 Que´bec Survey on Working and Employment Conditions and Occupational Health and Safety we estimated, among nonmanagement salaried employees (NMSEs) (1) the prevalence of WMSDs and resulting work absence, (2) the proportion with WMSDassociated work absence who filed a WC claim, and (3) among those who did not file a claim, the proportion who received no replacement income. We modeled factors associated with not filing with multivariate logistic regression. Results. Eighteen percent of NMSEs reported a WMSD, among whom 22.3% were absent from work. More than 80% of those absent did not file a WC claim, and 31.4% had no replacement income. Factors associated with not filing were higher personal income, higher seniority, shorter work absence, and not being unionized. Conclusions. The high level of WMSD underreporting highlights the limits of WC data for surveillance and prevention. Without WC benefits, injured workers may have reduced job protection and access to rehabilitation. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 94409462
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Underreporting Work Absences for Nontraumatic Work-Related Musculoskeletal Disorders to Workers' Compensation: Results of a 2007-2008 Survey of the Que´ bec Working Population.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Stock%2C+Susan%22">Stock, Susan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicolakakis%2C+Nektaria%22">Nicolakakis, Nektaria</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Raïq%2C+Hicham%22">Raïq, Hicham</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Messing%2C+Karen%22">Messing, Karen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lippel%2C+Katherine%22">Lippel, Katherine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Turcot%2C+Alice%22">Turcot, Alice</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Mar2014, Vol. 104 Issue 3, pe94-e101. 8p. 1 Diagram, 2 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Workers'+compensation+statistics%22">Workers' compensation statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Workers'+compensation%22">Workers' compensation</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Employees%22">Employees</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Experience%22">Experience</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis+of+musculoskeletal+system+diseases%22">Diagnosis of musculoskeletal system diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+diseases%22">Occupational diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+unions%22">Labor unions</searchLink><br /><searchLink fieldCode="DE" term="%22Health+insurance+reimbursement%22">Health insurance reimbursement</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Québec+%28Province%29%22">Québec (Province)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives. We examined underestimation of nontraumatic work-related musculoskeletal disorders (WMSDs) stemming from underreporting to workers' compensation (WC). Methods. In data from the 2007 to 2008 Que´bec Survey on Working and Employment Conditions and Occupational Health and Safety we estimated, among nonmanagement salaried employees (NMSEs) (1) the prevalence of WMSDs and resulting work absence, (2) the proportion with WMSDassociated work absence who filed a WC claim, and (3) among those who did not file a claim, the proportion who received no replacement income. We modeled factors associated with not filing with multivariate logistic regression. Results. Eighteen percent of NMSEs reported a WMSD, among whom 22.3% were absent from work. More than 80% of those absent did not file a WC claim, and 31.4% had no replacement income. Factors associated with not filing were higher personal income, higher seniority, shorter work absence, and not being unionized. Conclusions. The high level of WMSD underreporting highlights the limits of WC data for surveillance and prevention. Without WC benefits, injured workers may have reduced job protection and access to rehabilitation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=94409462
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2105/AJPH.2013.301562
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: e94
    Subjects:
      – SubjectFull: Workers' compensation statistics
        Type: general
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Workers' compensation
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Employees
        Type: general
      – SubjectFull: Epidemiology
        Type: general
      – SubjectFull: Experience
        Type: general
      – SubjectFull: Income
        Type: general
      – SubjectFull: Diagnosis of musculoskeletal system diseases
        Type: general
      – SubjectFull: Occupational diseases
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Statistical hypothesis testing
        Type: general
      – SubjectFull: Time
        Type: general
      – SubjectFull: Labor unions
        Type: general
      – SubjectFull: Health insurance reimbursement
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Disease prevalence
        Type: general
      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Québec (Province)
        Type: general
    Titles:
      – TitleFull: Underreporting Work Absences for Nontraumatic Work-Related Musculoskeletal Disorders to Workers' Compensation: Results of a 2007-2008 Survey of the Que´ bec Working Population.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Stock, Susan
      – PersonEntity:
          Name:
            NameFull: Nicolakakis, Nektaria
      – PersonEntity:
          Name:
            NameFull: Raïq, Hicham
      – PersonEntity:
          Name:
            NameFull: Messing, Karen
      – PersonEntity:
          Name:
            NameFull: Lippel, Katherine
      – PersonEntity:
          Name:
            NameFull: Turcot, Alice
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2014
              Type: published
              Y: 2014
          Identifiers:
            – Type: issn-print
              Value: 00900036
          Numbering:
            – Type: volume
              Value: 104
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: American Journal of Public Health
              Type: main
ResultId 1