Literature DB >> 35606646

Healthcare Costs Associated with Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm Among Older Patients.

Arnaud Pagès1,2,3,4, Nadège Costa5,6, Michaël Mounié5,6, Philippe Cestac7,5, Philipe De Souto Barreto8,5, Yves Rolland8,5, Bruno Vellas8,5, Laurent Molinier5,6, Blandine Juillard-Condat7,5.   

Abstract

INTRODUCTION: Potentially inappropriate medication prescribing (PIP) among older patients is associated with an increased risk of adverse events and hospitalization, and sometimes increased healthcare costs.
OBJECTIVE: The aim of this study was to explore the association between healthcare costs and PIP exposure among older patients.
METHODS: Analyses were conducted using data from the Multidomain Alzheimer Preventive Trial (MAPT). A computer algorithm was constructed to detect PIP based on various different explicit criteria-based tools, and the results were expressed in number of medication-related potential non-compliances (MRNCs). A prescription was considered potentially inappropriate if there were one or more MRNCs. We performed a cost analysis from the French National Health Insurance perspective, and also performed a multivariate analysis to identify the association between healthcare costs and PIP (number of MRNCs).
RESULTS: The computer algorithm analyzed medication prescribing from included patients (N = 1525 aged 75.3 ± 4.4 years; 64% women [n = 978]). PIP was associated with increased total healthcare costs and non-medication healthcare costs after adjusting for potential confounders. We also noted that healthcare costs tended to increase with the number of MRNCs. The mean additional healthcare costs were €517, €921, and €1669 per patient and year for patients with one or two MRNCs, three or four MRNCs, and five or more MRNCs, respectively, in comparison with patients with appropriate medication prescriptions.
CONCLUSION: These observations led us to conclude that interventions focused on reducing PIP could result in savings. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00672685.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Mesh:

Year:  2022        PMID: 35606646     DOI: 10.1007/s40266-022-00938-x

Source DB:  PubMed          Journal:  Drugs Aging        ISSN: 1170-229X            Impact factor:   3.923


  40 in total

1.  The Systematic Tool to Reduce Inappropriate Prescribing (STRIP): Combining implicit and explicit prescribing tools to improve appropriate prescribing.

Authors:  A Clara Drenth-van Maanen; Anne J Leendertse; Paul A F Jansen; Wilma Knol; Carolina J P W Keijsers; Michiel C Meulendijk; Rob J van Marum
Journal:  J Eval Clin Pract       Date:  2017-08-04       Impact factor: 2.431

Review 2.  Inappropriate prescribing in the older population: need for new criteria.

Authors:  Denis O'Mahony; Paul Francis Gallagher
Journal:  Age Ageing       Date:  2008-03       Impact factor: 10.668

3.  Computer-generated STOPP/START recommendations for hospitalised older adults: evaluation of the relationship between clinical relevance and rate of implementation in the SENATOR trial.

Authors:  Kieran Dalton; Denis Curtin; Denis O'Mahony; Stephen Byrne
Journal:  Age Ageing       Date:  2020-07-01       Impact factor: 10.668

Review 4.  Electronic prescribing and other forms of technology to reduce inappropriate medication use and polypharmacy in older people: a review of current evidence.

Authors:  Barbara Clyne; Marie C Bradley; Carmel Hughes; Tom Fahey; Kate L Lapane
Journal:  Clin Geriatr Med       Date:  2012-05       Impact factor: 3.076

5.  Potentially inappropriate medications in the elderly: the PRISCUS list.

Authors:  Stefanie Holt; Sven Schmiedl; Petra A Thürmann
Journal:  Dtsch Arztebl Int       Date:  2010-08-09       Impact factor: 5.594

Review 6.  Appropriate prescribing in elderly people: how well can it be measured and optimised?

Authors:  Anne Spinewine; Kenneth E Schmader; Nick Barber; Carmel Hughes; Kate L Lapane; Christian Swine; Joseph T Hanlon
Journal:  Lancet       Date:  2007-07-14       Impact factor: 79.321

7.  The FORTA (Fit fOR The Aged)-EPI (Epidemiological) Algorithm: Application of an Information Technology Tool for the Epidemiological Assessment of Drug Treatment in Older People.

Authors:  Andree Rabenberg; Timo Schulte; Helmut Hildebrandt; Martin Wehling
Journal:  Drugs Aging       Date:  2019-10       Impact factor: 3.923

8.  The EU(7)-PIM list: a list of potentially inappropriate medications for older people consented by experts from seven European countries.

Authors:  Anna Renom-Guiteras; Gabriele Meyer; Petra A Thürmann
Journal:  Eur J Clin Pharmacol       Date:  2015-05-14       Impact factor: 2.953

Review 9.  STOPP/START criteria for potentially inappropriate prescribing in older people: version 2.

Authors:  Denis O'Mahony; David O'Sullivan; Stephen Byrne; Marie Noelle O'Connor; Cristin Ryan; Paul Gallagher
Journal:  Age Ageing       Date:  2014-10-16       Impact factor: 10.668

10.  PIM-Check: development of an international prescription-screening checklist designed by a Delphi method for internal medicine patients.

Authors:  Aude Desnoyer; Anne-Laure Blanc; Valérie Pourcher; Marie Besson; Caroline Fonzo-Christe; Jules Desmeules; Arnaud Perrier; Pascal Bonnabry; Caroline Samer; Bertrand Guignard
Journal:  BMJ Open       Date:  2017-07-31       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.