Adherence to osteoporosis pharmacotherapy is underestimated using days supply values in electronic pharmacy claims data

A.M. Burden*, J.M. Peterson, A. Gruneir, S.M. Cadarette

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


PurposeDays supply (prescription duration) values are commonly used to estimate drug exposure and quantify adherence to therapy, yet accuracy is not routinely assessed, and potential inaccurate reporting has been previously identified. We examined the impact of cleaning days supply values on the measurement of adherence to oral bisphosphonates.

MethodsWe identified new users of oral bisphosphonates among Ontario seniors (April 2001-March 2011). Days supply values were examined by dose, and we identified misclassification by comparing observed values to dose-specific expected values. Days supply values not matching expected values were cleaned using dose-specific algorithms. One-year adherence to therapy was defined using measures of compliance (mean proportion of days covered [PDC], and categorized into high [PDC80%], medium [50%

ResultsWe identified 337729 (5% LTC) eligible new users. Among LTC patients, adherence estimates increased significantly following data cleaning: mean PDC (59 to 83%), proportion with high compliance (47 to 76%), and proportion persisting with therapy (62 to 78%). Modest increases were identified among community-dwelling patients following data cleaning (mean PDC, 71 to 74%; high compliance, 54 to 58%; and persistence, 56 to 61%).

ConclusionsData cleaning to correct for exposure misclassification can influence estimates of adherence with oral bisphosphonate therapy, particularly in LTC. Results highlight the importance of developing data cleaning strategies to correct for exposure misclassification and improve transparency in pharmacoepidemiologic studies. Copyright (c) 2014 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)67-74
Number of pages8
JournalPharmacoepidemiology and Drug Safety
Issue number1
Publication statusPublished - 1 Jan 2015


  • exposure misclassification
  • days supply
  • adherence
  • pharmacy claims data
  • pharmacoepidemiology


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