Cargando…
Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study
(1) Background: Some medications may be dangerous for older patients. Potentially inappropriate medication prescribing (PIP) among older patients represents a significant cause of morbidity. The aim of this study was to create an algorithm to detect PIP in a geriatric database (Multidomain Alzheimer...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628967/ https://www.ncbi.nlm.nih.gov/pubmed/34842835 http://dx.doi.org/10.3390/pharmacy9040189 |
_version_ | 1784607108459659264 |
---|---|
author | Pagès, Arnaud Rouch, Laure Costa, Nadège Cestac, Philippe De Souto Barreto, Philipe Rolland, Yves Vellas, Bruno Molinier, Laurent Juillard-Condat, Blandine |
author_facet | Pagès, Arnaud Rouch, Laure Costa, Nadège Cestac, Philippe De Souto Barreto, Philipe Rolland, Yves Vellas, Bruno Molinier, Laurent Juillard-Condat, Blandine |
author_sort | Pagès, Arnaud |
collection | PubMed |
description | (1) Background: Some medications may be dangerous for older patients. Potentially inappropriate medication prescribing (PIP) among older patients represents a significant cause of morbidity. The aim of this study was to create an algorithm to detect PIP in a geriatric database (Multidomain Alzheimer Preventive Trial (MAPT) study), and then to assess the algorithm construct validity by comparing the prevalence of PIP and associated factors with literature data. (2) Methods: An algorithm was constructed to detect PIP and was based on different explicit criteria among which the European list of potentially inappropriate medications (EU(7)-PIM), the STOPP and START version 2 tools. For construct validity assessment, logistic mixed-effects model repeated measures analyses were used to identify factors associated with PIP. (3) Results: Prevalence of PIP was 59.0% with the EU(7)-PIM list criteria, 43.2% with the STOPP criteria and 51.3% with the START criteria. Age, polypharmacy, and higher Charlson comorbidity index were associated with PIP. (4) Conclusions: Prevalence of PIP and associated factors are consistent with literature data, supporting the construct validity of our algorithm. This algorithm opens up interesting perspectives both in terms of analysis of very large databases and integration into e-prescribing or pharmaceutical validation software. |
format | Online Article Text |
id | pubmed-8628967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86289672021-11-30 Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study Pagès, Arnaud Rouch, Laure Costa, Nadège Cestac, Philippe De Souto Barreto, Philipe Rolland, Yves Vellas, Bruno Molinier, Laurent Juillard-Condat, Blandine Pharmacy (Basel) Article (1) Background: Some medications may be dangerous for older patients. Potentially inappropriate medication prescribing (PIP) among older patients represents a significant cause of morbidity. The aim of this study was to create an algorithm to detect PIP in a geriatric database (Multidomain Alzheimer Preventive Trial (MAPT) study), and then to assess the algorithm construct validity by comparing the prevalence of PIP and associated factors with literature data. (2) Methods: An algorithm was constructed to detect PIP and was based on different explicit criteria among which the European list of potentially inappropriate medications (EU(7)-PIM), the STOPP and START version 2 tools. For construct validity assessment, logistic mixed-effects model repeated measures analyses were used to identify factors associated with PIP. (3) Results: Prevalence of PIP was 59.0% with the EU(7)-PIM list criteria, 43.2% with the STOPP criteria and 51.3% with the START criteria. Age, polypharmacy, and higher Charlson comorbidity index were associated with PIP. (4) Conclusions: Prevalence of PIP and associated factors are consistent with literature data, supporting the construct validity of our algorithm. This algorithm opens up interesting perspectives both in terms of analysis of very large databases and integration into e-prescribing or pharmaceutical validation software. MDPI 2021-11-24 /pmc/articles/PMC8628967/ /pubmed/34842835 http://dx.doi.org/10.3390/pharmacy9040189 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pagès, Arnaud Rouch, Laure Costa, Nadège Cestac, Philippe De Souto Barreto, Philipe Rolland, Yves Vellas, Bruno Molinier, Laurent Juillard-Condat, Blandine Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study |
title | Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study |
title_full | Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study |
title_fullStr | Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study |
title_full_unstemmed | Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study |
title_short | Potentially Inappropriate Medication Prescribing Detected by Computer Algorithm among Older Patients: Results from the MAPT Study |
title_sort | potentially inappropriate medication prescribing detected by computer algorithm among older patients: results from the mapt study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628967/ https://www.ncbi.nlm.nih.gov/pubmed/34842835 http://dx.doi.org/10.3390/pharmacy9040189 |
work_keys_str_mv | AT pagesarnaud potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT rouchlaure potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT costanadege potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT cestacphilippe potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT desoutobarretophilipe potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT rollandyves potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT vellasbruno potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT molinierlaurent potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT juillardcondatblandine potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy AT potentiallyinappropriatemedicationprescribingdetectedbycomputeralgorithmamongolderpatientsresultsfromthemaptstudy |