Predictors of Nursing Staff Voluntary Termination in Nursing Homes: A Case-Control Study

Details

• Personal Author:
  Gore R ; Punnett, Laura ; Zhang Y
• Description:
  Workforce instability in the long-term care sector has raised wide attention about nursing staff turnover. Most attention has been devoted to understanding the relationship between facility's characteristics and organizational turnover. This case-control study examined the contribution of work characteristics to individual staff turnover. Surveys were collected with nursing staff in 18 for-profit nursing homes on up to five occasions between 2006 and 2012. A list of nursing staff voluntarily terminating jobs was provided by the company. Cases and controls (628 of each) were selected from survey respondents by matching on age, job category, and survey occasion. Multiple predictor conditional logistic regression models showed that evening shift work (hazards ratio HR = 2.00, p < .01) and shift length > 8 hr (HR = 1.42, p < .05) were contributing factors to voluntary termination. This study provides different perspectives of nursing staff voluntary termination in nursing homes. Future qualitative research would be valuable to explore and understand nursing staff turnover in the health care industry. Description provided by NIOSH
• Subjects:
  • Health Care Facilities Workforce and Services
  • Health Personnel
  • Occupational Health
  • Safety
  • Shift Work Schedule
  • Stress, Psychological
  • Workplace
• Keywords:
  • Health care workers
  • Nursing
  • Employee satisfaction
  • Health care facilities
  • Patient handling
  • Work environment
  • Work organization
  • Case control studies
  • Unemployment
  • Long work hours
  More +
• ISSN:
  0733-4648
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; OSHA Region 1
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  38
• Issue:
  11
• NIOSHTIC Number:
  nn:20055546
• Citation:
  J Appl Gerontol 2019 Nov; 38(11):1518-1536
• Contact Point Address:
  Yuan Zhang, Susan and Alan Solomont School of Nursing, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, 113 Wilder Street, Lowell, MA 01854, USA
• Email:
  Yuan_Zhang@uml.edu
• Federal Fiscal Year:
  2020
• NORA Priority Area:
  Public Safety ; Healthcare and Social Assistance
• Performing Organization:
  University of Massachusetts, Lowell
• Peer Reviewed:
  True
• Start Date:
  20060701
• Source Full Name:
  Journal of Applied Gerontology
• End Date:
  20210831
• Download URL:
  https://stacks.cdc.gov/view/cdc/213372/cdc_213372_DS1.pdf
• File Type:
  [PDF - 637.32 KB]
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:9a1114d982ba0a1453b22901175923f34634abb3c77509cc49f082cac6f499bbbe2a946a73042f600d8a720beda6586e3df7156f9c48bc3b6e7aac96426acee0