Paradoxical Impact of a Patient-Handling Intervention on Injury Rate Disparity Among Hospital Workers

Am J Public Health. 2019 Apr;109(4):618-625. doi: 10.2105/AJPH.2018.304929. Epub 2019 Feb 21.

Abstract

Objectives: To test whether a comprehensive safe patient-handling intervention, which successfully reduced overall injury rates among hospital workers in a prior study, was differentially effective for higher-wage workers (nurses) versus low-wage workers (patient care associates [PCAs]).

Methods: Data were from a cohort of nurses and PCAs at 2 large hospitals in Boston, Massachusetts. One hospital received the intervention in 2013; the other did not. Using longitudinal survey data from 2012 and 2014 plus longitudinal administrative injury and payroll data, we tested for socioeconomic differences in changes in self-reported safe patient-handling practices, and for socioeconomic differences in changes in injury rates using administrative data.

Results: After the intervention, improvements in self-reported patient-handling practices were equivalent for PCAs and for nurses. However, in administrative data, lifting and exertion injuries decreased among nurses (rate ratio [RR] = 0.64; 95% confidence interval [CI] = 0.41, 1.00) but not PCAs (RR = 1.10; 95% CI = 0.74,1.63; P for occupation × intervention interaction = 0.02).

Conclusions: Although the population-level injury rate decreased after the intervention, most improvements were among higher-wage workers, widening the socioeconomic gap in injury and exemplifying the inequality paradox. Results have implications for public health intervention development, implementation, and analysis.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Boston
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Moving and Lifting Patients / methods
  • Moving and Lifting Patients / nursing
  • Moving and Lifting Patients / statistics & numerical data*
  • Nursing Assistants / statistics & numerical data*
  • Nursing Staff, Hospital / statistics & numerical data*
  • Occupational Diseases / economics
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Wounds and Injuries / nursing*