Risk Indicators Improve the Prescription Quality of Drugs with Anticholinergic Properties in Nursing Homes

Stéphane Sanchez, Jan Chrusciel, Biné Mariam Ndiongue, Caroline Blochet, Jean François Forget, Aude Letty, Paul Emile Hay and Jean Luc Novella
Additional contact information
Stéphane Sanchez: Pole Territorial Santé Publique et Performance, Hôpitaux Champagne Sud, 10003 Troyes, France
Jan Chrusciel: Pole Territorial Santé Publique et Performance, Hôpitaux Champagne Sud, 10003 Troyes, France
Biné Mariam Ndiongue: Fondation Korian Pour le Bien Vieillir, 75008 Paris, France
Caroline Blochet: Medissimo, 78300 Poissy, France
Jean François Forget: Science Department Vidal, 92130 Issy les Moulineaux, France
Aude Letty: Fondation Korian Pour le Bien Vieillir, 75008 Paris, France
Paul Emile Hay: Fondation Korian Pour le Bien Vieillir, 75008 Paris, France
Jean Luc Novella: EA 3797, Santé Publique, Vieillissement, Qualité de vie et Réadaptation des Sujets Fragiles, Université Reims Champagne Ardennes, 51100 Reims, France

IJERPH, 2021, vol. 19, issue 1, 1-12

Abstract: Aim: The objective of this study was to assess the impact of a collaborative therapeutic optimization program on the rate of potentially inappropriate prescription of drugs with anticholinergic properties in nursing homes. Methods: Quasi-experimental study in 37 nursing homes in France. The intervention included the use of quality indicators for prescriptions combined with educational sessions and dedicated materials for nursing home staff (unlimited access to study material for staff, including nurses, general practitioners, pharmacists). Indicators were calculated based on routine data collected from an electronic pill dispenser system. The primary outcome was the presence of at least one prescription containing ≥1 drug from a list of 12 drugs with anticholinergic properties. A difference-in-differences analysis was conducted at 18 months as well as propensity score weighting to minimize any potential indication bias. A generalized estimating equation model estimated the probability of being prescribed at least one target drug at any time during a 9-month period for each resident. Results: In total, 33 nursing homes (intervention group: n = 10; control group: n = 23) were included, totalling 8137 residents. There was a decrease in the use of drugs with anticholinergic properties over time in both groups, as well as a decline in the intervention group compared to the control group (Odds Ratio: 0.685, 95% CI: 0.533, 0.880; p < 0.01) that was attributable to the intervention. An estimated 49 anticholinergic properties drug prescriptions were avoided by the intervention. Conclusion: This study found that an intervention based on indicators derived from routine prescription data was effective in reducing use of drugs with anticholinergic properties prescriptions in nursing homes.

Keywords: nursing homes; management indicators; anticholinergic; potentially inappropriate prescriptions (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/1/423/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/1/423/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2021:i:1:p:423-:d:715333

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().