Nursing-Sensitive Process Indicators Predicting 30-Day Readmission in Chronic Heart Failure

Mohammad Sahebkar1, Mohammad Reza Ghasemi2

  • 1School of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada.

Insights

Nursing interventions like fall prevention and medication education significantly impact 30-day readmission rates for chronic heart failure patients. Improving discharge preparation can reduce preventable hospital returns.

Area of Science:

  • Nursing Science
  • Cardiology
  • Public Health

Background:

  • Unplanned 30-day readmissions for chronic heart failure (CHF) pose challenges to healthcare quality and patient safety.
  • Identifying predictive nursing-sensitive indicators is crucial for improving patient outcomes.

Purpose of the Study:

  • To identify nursing-sensitive process indicators during hospitalization and at discharge that predict 30-day hospital readmission in adults with CHF.
  • To inform targeted nursing interventions aimed at reducing readmission rates.

Main Methods:

  • Retrospective case-control study involving 640 adult CHF patients.
  • Data collected on nursing-sensitive indicators: in-hospital falls, fall-risk identification, discharge education, post-discharge follow-up, medication knowledge, polypharmacy, and dosing frequency.
  • Comparison between readmitted cases (n=320) and non-readmitted controls (n=320).

Main Results:

  • In-hospital falls, fall-risk identification, poor medication knowledge, polypharmacy, and complex medication schedules were associated with increased 30-day readmission odds.
  • Structured nursing education at discharge significantly reduced the likelihood of 30-day readmission.

Conclusions:

  • Nursing-sensitive process indicators independently predict 30-day readmission in adults with CHF.
  • Strengthening fall prevention, enhancing medication education, and improving discharge preparation are actionable nursing interventions.
  • Targeted nursing interventions can improve discharge readiness and reduce preventable readmissions.
Abstract

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