S'abonner

Comparison of a new 3-item self-reported measure of adherence to medication with pharmacy claims data in patients with cardiometabolic disease - 17/09/20

Doi : 10.1016/j.ahj.2020.06.012 
Julie C. Lauffenburger, PharmD, PhD a, b, , Constance P. Fontanet, MPH a, b, Thomas Isaac, MD, MBA, MPH c, Chandrasekar Gopalakrishnan, MD, MPH b, Thomas D. Sequist, MD, MPH d, Joshua J. Gagne, PharmD, ScD b, Cynthia A. Jackevicius, PharmD, MSc e, Michael A. Fischer, MD, MS b, Daniel H. Solomon, MD, MPH b, f, Niteesh K. Choudhry, MD, PhD a, b
a Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 
b Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 
c Atrius Health, Newton, MA 
d Division of General Internal Medicine and Department of Health Care Policy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 
e Western University of Health Sciences, Pomona, CA, USA; VA Greater Los Angeles Healthcare System, Los Angeles, CA; Institute for Health Policy, Management and Evaluation, University of Toronto; and ICES, University Health Network, Toronto, Canada 
f Division of Rheumatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA 

Reprint requests: Julie C. Lauffenburger, PharmD, PhD, Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02120.Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical SchoolBostonMA02120

Abstract

Background

Less than half of patients with cardiometabolic disease consistently take prescribed medications. While health insurers and some delivery organizations use claims to measure adherence, most clinicians do not have access during routine interactions. Self-reported scales exist, but their practical utility is often limited by length or cost. By contrast, the accuracy of a new 3-item self-reported measure has been demonstrated in individuals with HIV. We evaluated its concordance with claims-based adherence measures in cardiometabolic disease.

Methods

We used data from a recently-completed pragmatic trial of patients with cardiometabolic conditions. After 12 months of follow-up, intervention subjects were mailed a survey with the 3-item measure that queries about medication use in the prior 30 days. Responses were linearly transformed and averaged. Adherence was also measured in claims in month 12 and months 1-12 of the trial using proportion of days covered (PDC) metrics. We compared validation metrics for non-adherence for self-report (average <0.80) compared with claims (PDC <0.80).

Results

Of 459 patients returning the survey (response rate: 43.5%), 50.1% were non-adherent in claims in month 12 while 20.9% were non-adherent based on the survey. Specificity of the 3-item metric for non-adherence was high (month 12: 0.83). Sensitivity was relatively poor (month 12: 0.25). Month 12 positive and negative predictive values were 0.59 and 0.52, respectively.

Conclusions

A 3-item self-reported measure has high specificity but poor sensitivity for non-adherence versus claims in cardiometabolic disease. Despite this, the tool could help target those needing adherence support, particularly in the absence of claims data.

Le texte complet de cet article est disponible en PDF.

Plan


 Funding: This research was supported by a grant from the NIH National Heart, Lung, and Blood Institute (NHLBI) to BWH (R01 HL 117918). Dr Lauffenburger was supported by a career development grant (K01 HL 141538) from the NHLBI.


© 2020  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 228

P. 36-43 - octobre 2020 Retour au numéro
Article précédent Article précédent
  • Smartphone-based application to improve medication adherence in patients after surgical coronary revascularization
  • Chunyu Yu, Chongyang Liu, Junzhe Du, Hanning Liu, Heng Zhang, Yan Zhao, Limeng Yang, Xi Li, Jing Li, Jue Wang, Huishan Wang, Zhigang Liu, Chenfei Rao, Zhe Zheng, for the MISSION-2 Collaborative Group
| Article suivant Article suivant
  • Twelve weeks of treatment with empagliflozin in patients with heart failure and reduced ejection fraction: A double-blinded, randomized, and placebo-controlled trial
  • Jesper Jensen, Massar Omar, Caroline Kistorp, Mikael Kjær Poulsen, Christian Tuxen, Ida Gustafsson, Lars Køber, Finn Gustafsson, Jens Faber, Emil L Fosbøl, Niels Eske Bruun, Jan Christian Brønd, Julie Lyng Forman, Lars Videbæk, Jacob Eifer Møller, Morten Schou

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.