Assessing agreement between population-level administrative pharmaceutical databases and patient-reported medication dispensation in cardiac rehabilitation patients.

Medication data Patient reported Pharmacoepidemiology Pharmacy data

Journal

Journal of epidemiology and population health
ISSN: 2950-4333
Titre abrégé: J Epidemiol Popul Health
Pays: France
ID NLM: 9918769574106676

Informations de publication

Date de publication:
23 Jul 2024
Historique:
received: 23 05 2024
revised: 19 06 2024
accepted: 20 06 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 24 7 2024
Statut: aheadofprint

Résumé

Pharmacoepidemiology has emerged as a crucial field in evaluating the use and effects of medications in large populations to ensure their safe and effective use. This study aimed to assess the agreement of cardiac medication use between a provincial medication database, the Pharmaceutical Information Network (PIN), and reconciled medication data from confirmation through patient interviews for patients referred to cardiac rehabilitation. The study included data from patients referred to the TotalCardiology Rehabilitation CR program, and medication data was available in both TotalCardiology Rehabilitation charts and PIN. The accuracy of medication data obtained from patient interviews was compared to that obtained from PIN with proportions and kappa statistics to evaluate the reliability of PIN data in assessing medication use. Patient-reported usage was higher for statins (41.6 %) vs. 38.4 %), ACE/ARB, beta-blockers (75.7 %) vs. 73.7 %), DOAC (3.5 %) vs. 2.6 %), and ADP-receptor antagonists (71.0 %) vs. 68.1 %) than if PIN was used. Patient-reported usage data was lower for Ezetimibe (4.7 vs. 4.8 %), Aldosterone antagonists (5.4 %) vs. 5.5 %), digoxin (0.9 %) vs. 1.0 %), calcium channel blockers (19.2 vs. 19.9 %) and warfarin (7.2 %) vs. 8.1 %). The results indicated that the differences between the two sources were very small, with an average agreement of 95.3 % and a kappa of 0.70. The study's results, which show a high level of agreement between PIN and patient self-reporting, affirm the reliability of PIN data as a source for obtaining an accurate assessment of medication use. This finding is crucial in the context of pharmacoepidemiology research, where the accuracy of data is paramount. Further research to explore the complementary use of both data sources will be valuable.

Sections du résumé

BACKGROUND BACKGROUND
Pharmacoepidemiology has emerged as a crucial field in evaluating the use and effects of medications in large populations to ensure their safe and effective use. This study aimed to assess the agreement of cardiac medication use between a provincial medication database, the Pharmaceutical Information Network (PIN), and reconciled medication data from confirmation through patient interviews for patients referred to cardiac rehabilitation.
METHODS METHODS
The study included data from patients referred to the TotalCardiology Rehabilitation CR program, and medication data was available in both TotalCardiology Rehabilitation charts and PIN. The accuracy of medication data obtained from patient interviews was compared to that obtained from PIN with proportions and kappa statistics to evaluate the reliability of PIN data in assessing medication use.
RESULTS RESULTS
Patient-reported usage was higher for statins (41.6 %) vs. 38.4 %), ACE/ARB, beta-blockers (75.7 %) vs. 73.7 %), DOAC (3.5 %) vs. 2.6 %), and ADP-receptor antagonists (71.0 %) vs. 68.1 %) than if PIN was used. Patient-reported usage data was lower for Ezetimibe (4.7 vs. 4.8 %), Aldosterone antagonists (5.4 %) vs. 5.5 %), digoxin (0.9 %) vs. 1.0 %), calcium channel blockers (19.2 vs. 19.9 %) and warfarin (7.2 %) vs. 8.1 %). The results indicated that the differences between the two sources were very small, with an average agreement of 95.3 % and a kappa of 0.70.
CONCLUSION CONCLUSIONS
The study's results, which show a high level of agreement between PIN and patient self-reporting, affirm the reliability of PIN data as a source for obtaining an accurate assessment of medication use. This finding is crucial in the context of pharmacoepidemiology research, where the accuracy of data is paramount. Further research to explore the complementary use of both data sources will be valuable.

Identifiants

pubmed: 39047347
pii: S2950-4333(24)00573-1
doi: 10.1016/j.jeph.2024.202764
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

202764

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Danielle A Southern (DA)

Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. Electronic address: dasouthe@ucalgary.ca.

Codie Rouleau (C)

TotalCardiology Research Network, Department of Psychology, University of Calgary, Calgary, Alberta, Canada.

Stephen B Wilton (SB)

Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Sandeep G Aggarwal (SG)

TotalCardiology Research Network, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.

Michelle M Graham (MM)

Mazankowksi Alberta Heart Institute and Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.

Erik Youngson (E)

The Alberta Strategy for Patient Oriented Research Support Unit (AbSPORU), Alberta, Canada; Provincial Research Data Services, Alberta Health Services, Alberta, Canada.

A FinlayMcAlister (A)

Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.

Hude Quan (H)

Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Classifications MeSH