Literature DB >> 24929633

Cost-effectiveness of an electronic medication ordering system (CPOE/CDSS) in hospitalized patients.

K M Vermeulen1, J E van Doormaal2, R J Zaal3, P G M Mol2, A W Lenderink4, F M Haaijer-Ruskamp2, J G W Kosterink2, P M L A van den Bemt5.   

Abstract

INTRODUCTION: Prescribing medication is an important aspect of almost all in-hospital treatment regimes. Besides their obviously beneficial effects, medicines can also cause adverse drug events (ADE), which increase morbidity, mortality and health care costs. Partially, these ADEs arise from medication errors, e.g. at the prescribing stage. ADEs caused by medication errors are preventable ADEs. Until now, medication ordering was primarily a paper-based process and consequently, it was error prone. Computerized Physician Order Entry, combined with basic Clinical Decision Support System (CPOE/CDSS) is considered to enhance patient safety. Limited information is available on the balance between the health gains and the costs that need to be invested in order to achieve these positive effects. Aim of this study was to study the balance between the effects and costs of CPOE/CDSS compared to the traditional paper-based medication ordering.
METHODS: The economic evaluation was performed alongside a clinical study (interrupted time series design) on the effectiveness of CPOE/CDSS, including a cost minimization and a cost-effectiveness analysis. Data collection took place between 2005 and 2008. Analyses were performed from a hospital perspective. The study was performed in a general teaching hospital and a University Medical Centre on general internal medicine, gastroenterology and geriatric wards. Computerized Physician Order Entry, combined with basic Clinical Decision Support System (CPOE/CDSS) was compared to a traditional paper based system. All costs of both medication ordering systems are based on resources used and time invested. Prices were expressed in Euros (price level 2009). Effectiveness outcomes were medication errors and preventable adverse drug events.
RESULTS: During the paper-based prescribing period 592 patients were included, and during the CPOE/CDSS period 603. Total costs of the paper-based system and CPOE/CDSS amounted to €12.37 and €14.91 per patient/day respectively. The Incremental Cost-Effectiveness Ratio (ICER) for medication errors was 3.54 and for preventable adverse drug events 322.70, indicating the extra amount (€) that has to be invested in order to prevent one medication error or one pADE.
CONCLUSIONS: CPOE with basic CDSS contributes to a decreased risk of preventable harm. Overall, the extra costs of CPOE/CDSS needed to prevent one ME or one pADE seem to be acceptable.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Computerized decision support system; Computerized physician order entry; Cost-effectiveness

Mesh:

Year:  2014        PMID: 24929633     DOI: 10.1016/j.ijmedinf.2014.05.003

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  17 in total

Review 1.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Use of mind maps and iterative decision trees to develop a guideline-based clinical decision support system for routine surgical practice: case study in thyroid nodules.

Authors:  Hyeong Won Yu; Maqbool Hussain; Muhammad Afzal; Taqdir Ali; June Young Choi; Ho-Seong Han; Sungyoung Lee
Journal:  J Am Med Inform Assoc       Date:  2019-06-01       Impact factor: 4.497

3.  Cost-effectiveness of check of medication appropriateness: methodological approach.

Authors:  Erinn D'hulster; Charlotte Quintens; Jeroen Luyten; Raf Bisschops; Rik Willems; Willy E Peetermans; Jan Y Verbakel
Journal:  Int J Clin Pharm       Date:  2022-01-11

4.  Cost-effectiveness analysis of a hospital electronic medication management system.

Authors:  Johanna I Westbrook; Elena Gospodarevskaya; Ling Li; Katrina L Richardson; David Roffe; Maureen Heywood; Richard O Day; Nicholas Graves
Journal:  J Am Med Inform Assoc       Date:  2015-02-10       Impact factor: 4.497

Review 5.  Health information technology in oncology practice: a literature review.

Authors:  G Fasola; M Macerelli; A Follador; K Rihawi; G Aprile; V Della Mea
Journal:  Cancer Inform       Date:  2014-12-01

Review 6.  Systematic Review of Medical Informatics-Supported Medication Decision Making.

Authors:  Brittany L Melton
Journal:  Biomed Inform Insights       Date:  2017-03-30

Review 7.  Quality of Decision Support in Computerized Provider Order Entry: Systematic Literature Review.

Authors:  Delphine Carli; Guillaume Fahrni; Pascal Bonnabry; Christian Lovis
Journal:  JMIR Med Inform       Date:  2018-01-24

8.  Individualized versus standardized risk assessment in patients at high risk for adverse drug reactions (IDrug) - study protocol for a pragmatic randomized controlled trial.

Authors:  Julia Carolin Stingl; Katharina Luise Kaumanns; Katrin Claus; Marie-Louise Lehmann; Kathrin Kastenmüller; Markus Bleckwenn; Gunther Hartmann; Michael Steffens; Dorothee Wirtz; Ann-Kristin Leuchs; Norbert Benda; Florian Meier; Oliver Schöffski; Stefan Holdenrieder; Christoph Coch; Klaus Weckbecker
Journal:  BMC Fam Pract       Date:  2016-04-26       Impact factor: 2.497

9.  Barriers and facilitators to hospital pharmacists' engagement in medication safety activities: a qualitative study using the theoretical domains framework.

Authors:  Alemayehu B Mekonnen; Andrew J McLachlan; Jo-Anne E Brien; Desalew Mekonnen; Zenahebezu Abay
Journal:  J Pharm Policy Pract       Date:  2018-01-23

Review 10.  Economic impact of clinical decision support interventions based on electronic health records.

Authors:  Daniel Lewkowicz; Attila Wohlbrandt; Erwin Boettinger
Journal:  BMC Health Serv Res       Date:  2020-09-15       Impact factor: 2.655

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