A BUDGET IMPACT ANALYSIS OF A CLINICAL MEDICATION REVIEW OF PATIENTS IN AN IRISH UNIVERSITY TEACHING HOSPITAL.

Author(s)

Kearney A1, Walsh EK2, Kirby A2, Halleran C1, Byrne D1, Haugh J1, Sahm LJ2
1Mercy University Hospital, Cork, Ireland, 2University College Cork, Cork, Ireland

OBJECTIVES

:
To measure the net benefit of a pharmacist led medication review in acute public hospitals.

METHODS

:
To identify and measure the resources used when completing a pharmacist led medication review, an observational study was conducted in an acute urban university teaching hospital. Health Information and Quality Authority (HIQA) guidelines were used to value resources used in a pharmacist led medication review. Model inputs included demographic data, probability of adverse drug events (ADEs) associated with the pharmacist interventions (PIs), estimates of future discharges and cost data. The cost of a pharmacist led medication review and savings generated from avoidance of ADEs were estimated and projected over a 5-year period, using hospital discharge rates taken from the Hospital Inpatient Enquiry (HIPE) system and the census of population.

RESULTS: Using the per patient cost of a medication review the annual cost of delivering a bi-weekly medication review is projected to vary between €6m and €6.4m over a 5-year period from 2017 to 2021. The per patient net benefit of a bi-weekly medication review is €45.88. Therefore, the projected annual net benefit of a bi-weekly medication review is between €29.5m and €31.2m over the 5-year period of 2017 to 2021.

CONCLUSIONS: Introducing a pharmacist led medication review for each inpatient saves in the short and longer term. The results are consistent with previous findings. Substantial savings were estimated, regardless of variation in model parameters tested in sensitivity analysis.

Conference/Value in Health Info

2018-11, ISPOR Europe 2018, Barcelona, Spain

Value in Health, Vol. 21, S3 (October 2018)

Code

PMU27

Topic

Economic Evaluation

Topic Subcategory

Budget Impact Analysis

Disease

Multiple Diseases

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