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Manuel Cifuentes1, Rebecca Gore, PhD1, Jon Boyer1, Jamie Tessler1, Angelo D'Errico, MD1, Patrick Scollin2, Laura Punnett1, and The PHASE in Healthcare Research Team3. (1) Department of Work Environment, University of Massachusetts Lowell, One University Ave., Lowell, MA 01854, 978-934-3132, firstname.lastname@example.org, (2) Department of Community Health and Sustainability, University of Massachusetts Lowell, 3 Solomont Way, Suite 3, Lowell, MA 01854, (3) Center for Public Health Research and Health Promotion, University of Massachusetts Lowell, 3 Solomont Way, Lowell, MA 01854
Aim: to examine a questionnaire study response rate in relation to socioeconomic status (SES) and working conditions.
Methods: The target population was 1,606 workers at 1 hospital and 2 nursing homes. Questionnaires were distributed for self-administration on personal time. SES indicators included Nam-Powers scores, hourly wage, and a new 5-level measure (“PHASE SES”) based on job educational requirements and level of responsibility. Job-level indicators of working conditions were constructed from the national O*NET database. Three-level multilevel logistic regression analyses (random intercept, iterative generalized least squares, 2nd order penalized quasi-likelihood for linear approximation transformation (MLwiN)) modeled individual survey response as a function of worker-level demographic variables and job-level SES and working conditions.
Results: About 30% of the target population returned questionnaires. Nam-Powers (OR=1.09 per 10 points) and PHASE SES (1.20 per category) were significantly associated with survey response, controlling for age (OR=1.22 for 10 years), gender (OR= 0.60 for men), type of facility (OR=1.50 for nursing homes), and the interaction of gender and type of facility (OR=2.70 for men in nursing homes). Psychosocial job strain (ratio of demands to control) significantly improved the model (OR= 0.11 per unit) . Job strain mediated 56% of the effect of Nam-Powers on survey response and 68% for PHASE SES.
Conclusions: Job strain predicted as much as 50% of survey response by healthcare workers, after controlling for demographic and job-level SES indicators. This has important implications for our ability to study the health effects of working conditions among the most exposed sectors of the workforce.
Keywords: Survey, Health Care Workers
Related Web page: www.uml.edu/phase/
Presenting author's disclosure statement:
Any relevant financial relationships? No
The 134th Annual Meeting & Exposition (November 4-8, 2006) of APHA