Monetary Value of a Prescription Assistance Program Service in a Rural Family Medicine Clinic

Whitley, Heather P.

doi:10.1111/j.1748-0361.2010.00320.x

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…For example, using “big data” health care delivery partners may see that a patient lives in a lower income neighborhood. Using patient‐reported data, health care delivery partners could discover that the same patient is struggling with the cost of a particular medication and connect him or her with a copayment assistance program . Through that conversation health care delivery partners might also learn that the patient has difficulty interpreting pill bottle instructions for when and how to take their medication, thus health care delivery partners could connect them with more innovative, pictorial medication packaging.…”

Section: Discussionmentioning

confidence: 99%

Novel application of approaches to predicting medication adherence using medical claims data

Zullig

Jazowski

Wang

et al. 2019

Health Services Research

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Objective To compare predictive analytic approaches to characterize medication nonadherence and determine under which circumstances each method may be best applied. Data Sources/Study Setting Medicare Parts A, B, and D claims from 2007 to 2013. Study Design We evaluated three statistical techniques to predict statin adherence (proportion of days covered [PDC ≥ 80 percent]) in the year following discharge: standard logistic regression with backward selection of covariates, least absolute shrinkage and selection operator (LASSO), and random forest. We used the C‐index to assess model discrimination and decile plots comparing predicted values to observed event rates to evaluate model performance. Data Extraction We identified 11 969 beneficiaries with an acute myocardial infarction (MI)‐related admission from 2007 to 2012, who filled a statin prescription at, or shortly after, discharge. Principal Findings In all models, prior statin use was the most important predictor of future adherence (OR = 3.65, 95% CI: 3.34‐3.98; OR = 3.55). Although the LASSO regression model selected nearly 90 percent of all candidate predictors, all three analytic approaches had moderate discrimination (C‐index ranging from 0.664 to 0.673). Conclusions Although none of the models emerged as clearly superior, predictive analytics could proactively determine which patients are at risk of nonadherence, thus allowing for timely engagement in adherence‐improving interventions.

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Section: Discussionmentioning

confidence: 99%

Novel application of approaches to predicting medication adherence using medical claims data

Zullig

Jazowski

Wang

et al. 2019

Health Services Research

View full text Add to dashboard Cite

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Adherence to antiplatelet treatment with P2Y12 receptor inhibitors. Is there anything we can do to improve it? A systematic review of randomized trials

Kubica

Obońska

Fabiszak

et al. 2016

Current Medical Research and Opinion

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Antiplatelet therapy is the cornerstone of treatment for patients with acute coronary syndromes (ACS) and/or undergoing percutaneous coronary interventions. Non-adherence to medication after ACS may lead to increased morbidity, mortality, and costs to the healthcare system due to elevated risk of stent thrombosis, myocardial infarction or death. Medication adherence is an issue of growing concern regarding the improvement of health system performance. Promoting medication adherence offers a rare opportunity to simultaneously improve health outcomes while reducing costs of treatment in patients with coronary artery disease (CAD). The aim of this systematic review was to critically discuss adherence to antiplatelet treatment with P2Y12 receptor inhibitors in CAD patients. After a systematic investigation of the literature in databases including PubMed, CENTRAL and Google Scholar, using appropriate keywords, and considering clinical randomized, prospective observational and retrospective studies, reporting on adherence to treatment with inhibitors of P2Y12 platelet receptors or educational interventions aimed to improve medication adherence in patients with CAD, seven articles were considered eligible for inclusion in this systematic review. Reported adherence to clopidogrel, despite catastrophic consequences of its premature discontinuation, is low. We identified several determinants of low adherence and early discontinuation of clopidogrel. We also present data on the usefulness, utilization and credibility of different methods of medication adherence assessment, and suggest and critically discuss available interventions aimed at improvement of adherence to clopidogrel, still showing the need for innovative approaches to achieve enhanced medication adherence and improve health outcomes after acute myocardial infarction.

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Cost-related medication underuse: Strategies to improve medication adherence at care transitions

Miranda

Serag-Bolos

Cooper

2019

American Journal of Health-System Pharmacy

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Monetary Value of a Prescription Assistance Program Service in a Rural Family Medicine Clinic

Cited by 3 publications

References 15 publications

Novel application of approaches to predicting medication adherence using medical claims data

Novel application of approaches to predicting medication adherence using medical claims data

Adherence to antiplatelet treatment with P2Y12 receptor inhibitors. Is there anything we can do to improve it? A systematic review of randomized trials

Cost-related medication underuse: Strategies to improve medication adherence at care transitions

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