Why the study?
Medication adherence correlates with morbidity and mortality in CHF patients, but assessing it is difficult.
How do different calculation parameters influence the proportion of days covered (PDC) when measuring medication adherence via claims data in patients with chronic heart failure?
How do different calculation parameters influence the proportion of days covered (PDC) when measuring medication adherence via claims data in patients with chronic heart failure?
Medication adherence calculations using claims data are highly sensitive to assumed prescribed daily dose, highlighting the need for sensitivity analyses.
Answers are grounded in this paper and cite their sources.
Dose assumptions drive wide PDC variation in HF claims data; supports sensitivity analyses in future adherence research.
Medication adherence correlates with morbidity and mortality in patients with chronic heart failure (CHF), but is difficult to assess. We conducted a retrospective methodological cohort study in 3,808 CHF patients, calculating adherence as proportion of days covered (PDC) utilizing claims data from 2010 to 2015. We aimed to compare different parameters' influence on the PDC of elderly CHF patients exemplifying a complex chronic disease. Investigated parameters were the assumed prescribed daily dose (PDD), stockpiling, and periods of hospital stay. Thereby, we investigated a new approach using the PDD assigned to different percentiles. The different dose assumptions had the biggest influence on the PDC, with variations from 41.9% to 83.7%. Stockpiling and hospital stays increased the values slightly. These results queries that a reliable PDC can be calculated with an assumed PDD. Hence, results based on an assumed PDD have to be interpreted carefully and should be presented with sensitivity analyses to show the PDC's possible range.
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Ihle et al. (2019) studied this question.
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