Development and validation of a drug adherence index for COPD

Autor: Tim Bancroft, Craig Schilling, Ami R Buikema, Richard H. Stanford, Lindsay G S Bengtson
Rok vydání: 2021
Předmět:
Zdroj: Journal of Managed Care & Specialty Pharmacy. 27:198-209
ISSN: 2376-1032
2376-0540
DOI: 10.18553/jmcp.2021.27.2.198
Popis: BACKGROUND: Inhaled medications are the mainstay of treatment for chronic obstructive pulmonary disease (COPD). Despite their importance, adherence to these medications is low. Low adherence is linked to increased exacerbation rates, mortality rates, health care utilization, and, ultimately, increased costs. A drug adherence index (DAI) is a predictive modeling tool that identifies patients most likely to change adherence status so that they can be targeted for support programs. Optum has previously developed DAI tools for diabetes, hypertension, and high cholesterol. In this study, a COPD-specific DAI was developed. This DAI tool could be used to better target medication adherence support in patients with COPD, aiming to increase adherence. OBJECTIVES: To develop a COPD-specific DAI using (a) enrollment, medical, and pharmacy variables and (b) only enrollment and pharmacy variables for potential application to pharmacy benefit managers and pharmacy plans. METHODS: This was a retrospective observational study using health care claims among Medicare Advantage with Part D beneficiaries with COPD in the United States. Potential predictors of adherence were measured during a 1-year baseline period. The adherence outcome was measured during a subsequent 1-year at-risk period. Adherence to long-acting bronchodilators was defined as a proportion of days covered (PDC) ≥80%. Nonadherence was defined as a PDC of
Databáze: OpenAIRE