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How Do Hospital Nurse Staffing Strategies Affect Patient Satisfaction?

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  • Jason M. Hockenberry
  • Edmund R. Becker

Abstract

In this article, the authors evaluate the role of the nurse staffing mix on hospital patient satisfaction. Using three years (2009 to 2011) of hospital patient satisfaction data linked to data on the productive staffing hours of registered nurses (RNs), licensed vocational nurses, nurse’s aides, and contract nurses for 311 California hospitals, the authors analyze how nurse staffing levels affect 10 dimensions of patient satisfaction. The findings indicate that a higher level of RNs per bed appears to increase overall patient satisfaction. Conversely, hospitals with a higher proportion of nursing hours provided by contract nurses have significantly lower levels of patient satisfaction on scores related to overall patient satisfaction and nurses’ communication with the patient. The results have implications for RN staffing strategies and inform the broader literature on worker-skill mix and employment arrangements.

Suggested Citation

  • Jason M. Hockenberry & Edmund R. Becker, 2016. "How Do Hospital Nurse Staffing Strategies Affect Patient Satisfaction?," ILR Review, Cornell University, ILR School, vol. 69(4), pages 890-910, August.
  • Handle: RePEc:sae:ilrrev:v:69:y:2016:i:4:p:890-910
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    Cited by:

    1. Arthur, Jeffrey B., 2023. "Public announcements of employee recognitions from customers and customer satisfaction: Longitudinal effects in the healthcare context," Journal of Business Research, Elsevier, vol. 157(C).
    2. David, Guy & Kim, Kunhee Lucy, 2018. "The effect of workforce assignment on performance: Evidence from home health care," Journal of Health Economics, Elsevier, vol. 59(C), pages 26-45.
    3. Binru Han & Qiuping Li & Xi Chen & Guoguang Zhao, 2020. "Workflow for Intensive Care Unit Nurses: A Time and Motion Study," SAGE Open, , vol. 10(3), pages 21582440209, July.
    4. Xinxin Peng & Xiaolei Tang & Yijun Chen & Jinghua Zhang, 2021. "Ranking the Healthcare Resource Factors for Public Satisfaction with Health System in China—Based on the Grey Relational Analysis Models," IJERPH, MDPI, vol. 18(3), pages 1-13, January.

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