How does staff and patient feedback on hospital quality relate to mortality outcomes? A provider-level national study

Health Serv Manage Res. 2024 May;37(2):115-122. doi: 10.1177/09514848231179182. Epub 2023 Jun 27.

Abstract

This study aimed to use national data to examine the relationship between staff and inpatient survey results (National Health Service (NHS) Friends and Family Test (FFT)) and assess how these align with more traditional measurements of hospital quality as captured by the summary hospital mortality indicator (SHMI). Provider level FFT responses were obtained for 128 English non-specialist acute providers for staff and inpatients between April 2016 and March 2019. Multilevel linear regression models assessed the relationship between staff and patient FFT recommendations, and separately how SHMI related to each of staff and patient FFT recommendations. A total of 1,536 observations were recorded across all providers and financial quarters. Patients were more likely to recommend their provider (95.5%) than staff (76.8%). In multivariable regression, a statistically significant association was observed between staff and patient FFT recommendations. A statistically significant negative relationship was also observed between staff FFT recommendations and SHMI. The association between SHMI and staff FFT recommendations suggests that staff feedback tools may provide a useful analogue for providers in potential need of intervention and improvement in care. For patients meanwhile, qualitative approaches and hospital organisations working in partnership with patients may provide better opportunities for patients to drive improvement.

Keywords: Staff views; mortality; patient satisfaction; quality improvement.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Feedback*
  • Female
  • Hospital Mortality*
  • Hospitals / standards
  • Hospitals / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Patient Satisfaction / statistics & numerical data
  • Quality of Health Care*
  • State Medicine
  • Surveys and Questionnaires