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  • Title: Measuring adherence to oral antidiabetic multi-drug treatment: Comparative validity of prescription claims-based adherence measures against hospitalization.
    Author: Zongo A, Grégoire JP, Moisan J, Guénette L.
    Journal: Res Social Adm Pharm; 2019 Jun; 15(6):738-743. PubMed ID: 30253976.
    Abstract:
    BACKGROUND: The use of prescription claims data to measure adherence to diabetes treatment is very common in research. However, there is no clear evidence regarding the accuracy of the methods used to assess adherence to multi-drug treatments for the many patients using multiple antidiabetic drugs. PURPOSE: To assess the validity of prescription claims-based adherence measures in the context of multiple oral antidiabetic drug treatment. METHODS: A cohort of patients who began their antidiabetic drug treatment with at least two oral antidiabetic drugs (new users) was created using Quebec medico-administrative data. Four different prescription claims-based adherence measures were assessed: proportion of days covered (PDC) by at least one class of drugs, mean PDC, PDC by all classes and daily polypharmacy possession ratio (DPPR). All-cause and diabetes-related hospitalizations were the validation criteria. To assess the validity of the measures, receiver operating characteristic (ROC) curves were plotted for each measure and each criterion. RESULTS: A total of 5982 individuals were included. The areas under the ROC curves for the PDC by at least one class of drugs, the mean PDC, the PDC by all classes of drugs and the DPPR were respectively 0.54 (95% CI: 0.52-0.56), 0.51 (0.49-0.53), 0.50 (0.48-0.52) and 0.51 (0.49-0.53) with all-cause hospitalization as criterion and 0.55 (0.53-0.57), 0.53 (0.51-0.55), 0.51 (0.49-0.53) and 0.53 (0.51-0.55) using diabetes-related hospitalization as criterion. CONCLUSIONS: The results suggest that all measures have poor validity in predicting hospitalizations thus raising concerns about their utility in the assessment of adherence to multi-drug treatment. Future research should assess the capacity of these measures to predict other outcomes more closely related to medication adherence.
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