J Patient Saf. 2020 Dec;16(4):e250-e254. doi: 10.1097/PTS.0000000000000376.

Cost-Benefit Analysis of a Support Program for Nursing Staff.

Journal of patient safety

Dane Moran, Albert W Wu, Cheryl Connors, Meera R Chappidi, Sushama K Sreedhara, Jessica H Selter, William V Padula

PMID: 28452914 DOI: 10.1097/PTS.0000000000000376

Abstract

OBJECTIVES: A peer-support program called Resilience In Stressful Events (RISE) was designed to help hospital staff cope with stressful patient-related events. The aim of this study was to evaluate the impact of the RISE program by conducting an economic evaluation of its cost benefit.

METHODS: A Markov model with a 1-year time horizon was developed to compare the cost benefit with and without the RISE program from a provider (hospital) perspective. Nursing staff who used the RISE program between 2015 and 2016 at a 1000-bed, private hospital in the United States were included in the analysis. The cost of running the RISE program, nurse turnover, and nurse time off were modeled. Data on costs were obtained from literature review and hospital data. Probabilities of quitting or taking time off with or without the RISE program were estimated using survey data. Net monetary benefit (NMB) and budget impact of having the RISE program were computed to determine cost benefit to the hospital.

RESULTS: Expected model results of the RISE program found a net monetary benefit savings of US $22,576.05 per nurse who initiated a RISE call. These savings were determined to be 99.9% consistent on the basis of a probabilistic sensitivity analysis. The budget impact analysis revealed that a hospital could save US $1.81 million each year because of the RISE program.

CONCLUSIONS: The RISE program resulted in substantial cost savings to the hospital. Hospitals should be encouraged by these findings to implement institution-wide support programs for medical staff, based on a high demand for this type of service and the potential for cost savings.

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MeSH terms

• Cost-Benefit Analysis / methods
• Humans
• Nursing Staff / economics

Publication Types

• Journal Article
• Research Support, Non-U.S. Gov't