Marginal structural modelling of associations of occupational injuries with voluntary and involuntary job loss among nursing home workers

Details

• Personal Author:
  Bacic J ; Hammer LB ; Okechukwu CA ; Velasquez E
• Description:
  Objectives: Qualitative studies have highlighted the possibility of job loss following occupational injuries for some workers, but prospective investigations are scant. We used a sample of nursing home workers from the Work, Family and Health Network to prospectively investigate association between occupational injuries and job loss. Methods: We merged data on 1331 workers assessed 4 times over an 18-month period with administrative data that include job loss from employers and publicly available data on their workplaces. Workers self-reported occupational injuries in surveys. Multivariable logistic regression models estimated risk ratios for the impact of occupational injuries on overall job loss, whereas multinomial models were used to estimate OR of voluntary and involuntary job loss. Use of marginal structural models allowed for adjustments of multilevel lists of confounders that may be time varying and/or on the causal pathway. Results: By 12 months, 30.3% of workers experienced occupational injury, whereas 24.2% experienced job loss by 18 months. Comparing workers who reported occupational injuries to those reporting no injuries, risk ratio of overall job loss within the subsequent 6 months was 1.31 (95% CI 0.93 to 1.86). Comparing the same groups, injured workers had higher odds of experiencing involuntary job loss (OR 2.19; 95% CI 1.27 to 3.77). Also, compared with uninjured workers, those injured more than once had higher odds of voluntary job loss (OR 1.95; 95% CI 1.03 to 3.67), while those injured once had higher odds of involuntary job loss (OR 2.19; 95% CI 1.18 to 4.05). Conclusions: Despite regulatory protections, occupational injuries were associated with increased risk of voluntary and involuntary job loss for nursing home workers. [Description provided by NIOSH]
• Subjects:
  Demography Health Care Facilities Workforce And Services Health Personnel Occupational Health Risk Assessment Risk Factors Safety Workplace
• Keywords:
  Demographic-characteristics Exposure-levels Health-care Health-care-facilities Health-care-personnel Injuries Nurses Nursing Risk-factors Statistical-analysis Total Worker Health TWH Work-environment Workers

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• ISSN:
  1351-0711
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; Oregon ; OSHA Region 1 ; OSHA Region 10
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  175-182
• Volume:
  73
• Issue:
  3
• NIOSHTIC Number:
  nn:20047280
• Citation:
  Occup Environ Med 2016 Mar; 73(3):175-182
• Contact Point Address:
  Dr. Cassandra Adiba Okechukwu, Harvard T.H. Chan School of Public Health, Kresge Building, 7th Floor, RM 722, 677 Huntington Avenue, Boston, MA 02115
• Email:
  cassandrao@post.harvard.edu
• Federal Fiscal Year:
  2016
• Performing Organization:
  Portland State University
• Peer Reviewed:
  True
• Start Date:
  20050901
• Source Full Name:
  Occupational and Environmental Medicine
• End Date:
  20081130
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:40472adc6f1e94bb72a523a0cb1eb1775edb38e896f9ea73079a8dc2dd8aaf12475db6ef9b3e10fe30870bf7f5a6b344c4dc84bea43b0de32d9ef153d648b310
• Download URL:
  https://stacks.cdc.gov/view/cdc/202415/cdc_202415_DS1.pdf
• File Type:
  [PDF - 371.02 KB ]