Elinor C. G. Chumney

Effectiveness of Pharmacist-Administered Diabetes Mellitus Education and Management Services

Study Objectives. To evaluate the effectiveness of pharmacist‐administered diabetes mellitus education and management services on selected diabetes performance measures. Additional goals were to compare outcomes with goals specified for patients with diabetes by the National Committee for Quality Assurance (NCQA) and identify areas for improvement.

Cost effectiveness of lopinavir/ritonavir compared with atazanavir in antiretroviral-naive patients: modelling the combined effects of HIV and heart disease.

AbstractBackground and objective: The choice of initial highly active antiretroviral therapy (HAART) should take into account the need to balance efficacy, adverse event risk, resistance concerns for the treatment of HIV and treatment costs. Increased risk of coronary heart disease (CHD) may be of special concern in the selection of HAART therapy, because differences in potential CHD risk have been reported for different regimens. This study aimed to estimate the long-term combined effects of HIV disease and antiretroviral (ARV)-related risk for CHD on quality-adjusted survival and healthcare costs for ARV-naive patients. Methods: A previously validated Markov model was updated and supplemented with the Framingham CHD risk equation. In the model, the average patient was male, aged 37 years and had a baseline 10-year CHD risk of 4.6%. Patients started with either lopinavir/ritonavir or unboosted atazanavir as the first protease inhibitor (PI). Clinical trial data were used to estimate the differences between these two therapies. The daily PI costs were

The effect of cost construction based on either DRG or ICD-9 codes or risk group stratification on the resulting cost-effectiveness ratios

US18.52 for lopinavir/ritonavir and

Assessment of patient knowledge of diabetic goals, self-reported medication adherence, and goal attainment

US22.08 for atazanavir. Other costs were estimated from Medicaid billing databases and average wholesale drug price reports. All model costs were reported as the 2004 present value in US currency. The model’s time horizon reflected a patient’s lifetime, and the perspective of the analysis was that of the healthcare system and did not include indirect costs in the model cost estimates. Various CHD risk levels were tested in the sensitivity analysis. Results: In the base case, the model predicted a median duration of initial PI regimen of 5.6 years for lopinavir/ritonavir and 3.8 years for atazanavir. Over 10 years, patients who started on atazanavir had 30 additional AIDS events per 100 patients. Only 0.7 additional CHD events per 100 patients occurred for those who started on lopinavir/ritonavir. The model estimated 10-year total healthcare cost savings of

Impact of clinical pharmacist intervention on diabetes related quality-of-life in an ambulatory care clinic

US12 543 per patient in the lopinavir/ritonavir group. The lifetime incremental cost effectiveness of lopinavir/ritonavir versus atazanavir was

Estimating the social and economic benefits of pharmaceutical innovation: modeling clinical trial results in hiv disease

US6797 per quality-adjusted life-year gained. Conclusion: Lopinavir/ritonavir is a highly cost-effective regimen relative to atazanavir for the treatment of HIV. The effect of lopinavir/ritonavir on long-term CHD risk was minimal compared with the increased risk of AIDS/death projected for a less efficacious first PI regimen. The cost of lipid-lowering drugs and treatment of CHD for patients taking the lopinavir/ritonavir regimen was only 1.2% of the cost of AIDS care per person, which was too small to have a significant effect on the overall cost savings with lopinavir/ritonavir therapy. Thus, a decision to forgo potency and durability in an ARV regimen for an ARVnaive patient in favour of a less potent regimen with an improved lipid profile may prove to be costly over time, in terms of both budget impact and life expectancy.

Preadmission Predictors of Graduating Grade Point Average in a Professional Pharmacy Program

AbstractBackground: As cost-effectiveness analyses (CEAs) are increasingly used to inform policy decisions, there is a need for more information on how different cost determination methods affect cost estimates and the degree to which the resulting cost-effectiveness ratios (CERs) may be affected. The lack of specificity of diagnosis-related groups (DRGs) could mean that they are ill-suited for costing applications in CEAs. Yet, the implications of using International Classification of Diseases—9th edition (ICD-9) codes or a form of disease-specific risk group stratification instead of DRGs has yet to be clearly documented. Objective: To demonstrate the implications of different disease coding mechanisms on costs and the magnitude of error that could be introduced in head-to-head comparisons of resulting CERs. Methods: We based our analyses on a previously published Markov model for HIV/AIDS therapies. We used the Healthcare Cost and Utilisation Project Nationwide Inpatient Sample (HCUP-NIS) data release 6, which contains all-payer data on hospital inpatient stays from selected states. We added costs for the mean number of hospitalisations, derived from analyses based on either DRG or ICD-9 codes or risk group stratification cost weights, to the standard outpatient and prescription drug costs to yield an estimate of total charges for each AIDS-defining illness (ADI). Finally, we estimated the Markov model three times with the appropriate ADI cost weights to obtain CERs specific to the use of either DRG or ICD-9 codes or risk group. Results: Contrary to expectations, we found that the choice of coding/grouping assumptions that are disease-specific by either DRG codes, ICD-9 codes or risk group resulted in very similar CER estimates for highly active antiretroviral therapy. The large variations in the specific ADI cost weights across the three different coding approaches was especially interesting. However, because no one approach produced consistently higher estimates than the others, the Markov model’s weighted cost per event and resulting CERs were remarkably close in value to one another. Conclusion: Although DRG codes are based on broader categories and contain less information than ICD-9 codes, in practice the choice of whether to use DRGs or ICD-9 codes may have little effect on the CEA results in heterogeneous conditions such as HIV/AIDS.

The Emerging Role of the Consumer in Pharmaceutical Pricing Decisions

Background: Medication adherence is an integral aspect of disease state management for patients with chronic illnesses, including diabetes mellitus. It has been hypothesized that patients with diabetes who have poor medication adherence may have less knowledge of overall therapeutic goals and may be less likely to attain these goals. Objective: The purpose of this study was to assess self-reported medication adherence, knowledge of therapeutic goals (hemoglobin A1C [A1C], low density lipoprotein cholesterol [LDL-C] and blood pressure [BP]), and goal attainment in adult patients with diabetes. Methods: A survey was created to assess medication adherence, knowledge of therapeutic goals, and goal attainment for adult patients with diabetes followed at an internal medicine or a family medicine clinic. Surveys were self-administered prior to office visits. Additional data were collected from the electronic medical record. Statistical analysis was performed. Results: A total of 149 patients were enrolled. Knowledge of therapeutic goals was reported by 14%, 34%, and 18% of survived patients for LDL-C, BP, and A1C, respectively. Forty-six percent, 37%, and 40% of patients achieved LDL-C, BP, and A1C goals, respectively. Low prescribing of cholesterol-lowering medications was an interesting secondary finding; 36% of patients not at LDL-C goal had not been prescribed a medication targeted to lower cholesterol. Forty-eight percent of patients were medication non-adherent; most frequently reported reasons for non-adherence were forgot (34%) and too expensive (14%). Patients at A1C goal were more adherent than patients not at goal (p=0.025). Conclusion: The majority did not reach goals and were unknowledgeable of goals; however, most were provided prescriptions to treat these parameters. Goal parameters should be revisited often amongst multidisciplinary team members with frequent and open communications. Additionally, it is imperative that practitioners discuss the importance of medication adherence with every patient at every visit.

The effects of pharmacist interventions on patients with polypharmacy.

The purpose of this one-year observational study was to evaluate quality of life in patients at the Medical University of South Carolina Family Medicine clinic who were followed by a clinical pharmacist diabetes educator. Methods Patients who have been seen by the clinical pharmacist for diabetes education and management services were contacted by telephone and asked to complete a previously validated Diabetes-related Quality of Life (DRQL) survey. In addition, the patient’s most recent hemoglobin A1C, blood pressure, fasting lipid panel and aspirin use were obtained from the electronic medical record. Correlation and logistic regression analysis was completed in order to assess the quality of life score and clinical outcomes. Results A total of 47 patients completed the survey (37%). The median overall score was 1 (1-very satisfied; 5-very dissatisfied). Patients who were more satisfied with their current treatment tended to have lower LDL, systolic and diastolic blood pressure (BP) values (r=0.32, 0.3, 0.33; p=0.03, 0.03, 0.02). In addition, patients taking more medications were more dissatisfied with the amount of time spent managing their disease (r=0.29, p=0.04), felt more pain associated with the treatment of their disease (r=0.32, p=0.02), and were more worried that their body looked different as a result of their diabetes (r=0.32, p=0.02). Conclusion Patients in this clinic were highly satisfied with their quality of life. The authors found that trends exist for relationships between several important clinical parameters and quality of life.

Impact of a Dual PharmD/MBA Degree on Graduates' Academic Performance, Career Opportunities, and Earning Potential

The change from using clinical endpoints to surrogate marker endpoints in antiretroviral (ARV) trials for human immunodeficiency virus (HIV) disease, combined with the multiplicity of factors that may influence the effectiveness of ART in the community, requires the systematic integration of data through mathematical modeling in order for these data to be useful for most decision makers. Many issues must be considered in the construction of such models, but once constructed the models may be used to compare the expected value, epidemiological, and budget impacts of competing therapies and programs to help select the most cost effective approaches given local conditions.