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Healthcare Associated Infections, Nurse Staffing, and Financial Performance.

Soumya Upadhyay1, Dean G Smith2

  • 1University of Nevada Las Vegas, Las Vegas, NV, USA.

Inquiry : a Journal of Medical Care Organization, Provision and Financing
|March 7, 2023
PubMed
Summary
This summary is machine-generated.

Healthcare associated infections (HAIs) negatively impact hospital profit margins, but increased nurse staffing may mitigate this financial effect. This study analyzed 2059 hospitals from 2014-2016.

Keywords:
financial performancehealthcare associated infectionshospitals

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Area of Science:

  • Health Services Research
  • Health Economics
  • Hospital Management

Background:

  • Healthcare associated infections (HAIs) pose significant financial risks to hospitals.
  • Accountability measures for HAI costs have been implemented for over a decade.
  • Contingency theory provides a framework for understanding organizational performance.

Purpose of the Study:

  • To examine the association between HAIs and hospital financial performance.
  • To investigate the moderating role of nurse staffing on the HAI-financial performance relationship.
  • To apply contingency theory to the context of hospital financial management and infection control.

Main Methods:

  • Utilized publicly available data from 2059 hospitals (2014-2016).
  • Employed regression analysis with infection rates and nurse staffing as independent variables.
  • Measured financial performance using operating margin, total margin, and days cash on hand.

Main Results:

  • A negative association was found between HAIs and operating/total margins (-0.07%).
  • A positive association was observed between the interaction of HAIs and nurse staffing (0.05%).
  • A 10% increase in infection rates predicted only a 0.2% decrease in profit margin; other associations were not significant.

Conclusions:

  • HAIs have a modest negative impact on hospital financial performance.
  • Nurse staffing may buffer the financial consequences of HAIs.
  • Hospital financial performance is influenced by a complex interplay of factors including infection rates and staffing levels.