2009
DOI: 10.1016/j.clinthera.2009.10.002
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Predictors of medication nonadherence among patients with diabetes in Medicare Part D programs: A retrospective cohort study

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Cited by 130 publications
(134 citation statements)
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“…The study included a wash-in period to assess patient treatment history and a lengthy period during which treatment noncompliance could be assessed. The observed findings with respect to patient age, BMI, HbA 1c , and current smoking across the compliance categories are also consistent with previous reports (18)(19)(20). Finally, the study was able to assess the ultimate patient-relevant outcome: mortality.…”
Section: Mortalitysupporting
confidence: 92%
“…The study included a wash-in period to assess patient treatment history and a lengthy period during which treatment noncompliance could be assessed. The observed findings with respect to patient age, BMI, HbA 1c , and current smoking across the compliance categories are also consistent with previous reports (18)(19)(20). Finally, the study was able to assess the ultimate patient-relevant outcome: mortality.…”
Section: Mortalitysupporting
confidence: 92%
“…Age, marital status, diet found in the locality or surrounding environment, diet accessible by distance, diet accessible from the workplace, occupation status emerged as key spotlight factors in adherence model. These study results, did not fully agree with other studies that have concluded that socio-economic factors are weak in predicting adherence [13,39,41]. Although in this study sex did not have an influence on adherence, other studies have indicated that women are twice more likely to be depressed [22] leading to a dissatisfaction with care and subsequently, poor adherence to diabetes self-care [8].…”
Section: Discussioncontrasting
confidence: 55%
“…10 In addition, we included variables possibly associated with adherence including comorbidity, age, gender, visits to the general practitioner, socioeconomic status, psychosocial variables, as well as the year of cohort entry. [18][19][20][21][22][23][24] Appendix- Table 2 (available online) shows a detailed description of all variables. Since previous adherence has been identified as a dominant predictor of future adherence in COPD, 25 we did a fifth sensitivity analysis that did not include previous adherence among possible explanatory variables in the models in order to investigate possible masking of other variables caused by collinearity.…”
Section: Variables Associated With Adherencementioning
confidence: 99%