Kavita V. Nair

Patient-Level Medication Regimen Complexity Across Populations With Chronic Disease

BACKGROUND Expected treatment effectiveness from medications can be diminished due to suboptimal adherence. Medication nonadherence has been linked to pill burden from the quantity of medications; however, medication regimens with similar quantities of medications vary in complexity due to multiple dosage forms, frequency of dosing, and additional usage directions. Thus, a simple medication count ignores medication regimen complexity, especially as it pertains to a patient-level perspective that includes prescription and over-the-counter medications. A gap exists in the study of a patient-level medication regimen complexity metric across disease-specific populations. OBJECTIVE The goal of this study was to implement the quantitative Medication Regimen Complexity Index (MRCI) at the patient level in defined populations with chronic disease (geriatric depression, HIV, diabetes mellitus, and hypertension). Patient-level medication regimen complexity included all prescribed medications and over-the-counter medications documented in the electronic medication list. METHODS Using electronic medical records at the University of Colorado Hospital ambulatory clinics, we sampled 4 retrospective cohorts of adult patients in active care in 2011 with a qualifying medical diagnosis and prescribed disease-specific medication. Samples were randomly selected from all qualifying patients; de-identified information was coded using the MRCI. RESULTS Cohort-defining disease-specific prescription medications (eg, antidepressants for the depression-defined cohort) contributed <20% to the total patient-level complexity MRCI score; the MRCI score was dominated by complexity associated with all other prescription medications. Within disease-specific cohorts, MRCI scores differentiated patients with the highest and lowest medication counts, comorbidity counts, and the Charlson comorbidity index scores. For example, geriatric depression patients had a highest quartile mean MRCI score of 41 and a lowest quartile mean MRCI score of 13. Between disease-specific cohorts, high and low MRCI scores differed because each cohort had its own MRCI ranges. For example, highest quartile MRCI scores varied from a mean MRCI score of 41 (geriatric depression) to 30 (hypertension); lowest quartile scores ranged from a mean MRCI score of 7 (hypertension and HIV) to 13 (geriatric depression). CONCLUSIONS MRCI components of dosing frequency and prescribed medications outside of the cohort-defining disease medications contributed the most to the patient-level scores. Thus, chronic disease management programs may want to consider all medications that patients are taking and examine ways to reduce complexity, such as reducing multiple dosing frequencies when possible. MRCI scores differentiated high and low patient-level complexity measures, representing possible utility as a prospective tool to identify target patients for intervention. Future work includes simplifying the MRCI and enhancing the scores with medication risk factors, as well as explicitly linking to adherence and health services.

Description of Antihypertensive Use in Patients With Resistant Hypertension Prescribed Four or More Agents

Data describing the use of recommended antihypertensive agents in the resistant hypertension population are limited. Treatment recommendations for resistant hypertension include maximizing diuretic therapy by using chlorthalidone and/or adding an aldosterone antagonist. Additional recommendations include combining antihypertensive agents from different drug classes. This retrospective cohort study describes antihypertensive use in patients with resistant hypertension defined as the concurrent use of ≥4 antihypertensive agents. Claims data from the Medstat MarketScan Commercial Claims and Encounter database were used to identify patients with resistant hypertension based on International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes and National Drug Codes between May 1, 2008 and June 30, 2009. Of the 5 442 410 patients with hypertension in the database, 140 126 met study criteria. The most frequently prescribed antihypertensive classes were angiotensin-converting enzyme inhibitors and/or angiotensin receptor blockers (96.2%), diuretics (93.2%), calcium channel blockers (83.6%), and &bgr;-blockers (80.0%). Only 3.0% and 5.9% of patients were on chlorthalidone or an aldosterone antagonist, respectively. A total of 15.6% of patients were treated with angiotensin-converting enzyme inhibitor plus angiotensin receptor blocker. Our findings demonstrate that frequently prescribed antihypertensive agents for the treatment of resistant hypertension included guideline-recommended first-line agents. However, evidence-based and recommended agents, such as chlorthalidone and aldosterone antagonists, were underused. Moreover, minimally efficacious combinations, such as an angiotensin-converting enzyme inhibitor with an angiotensin receptor blocker, were prescribed at higher rates than evidence-based and recommended agents.

Burden of multiple sclerosis on direct, indirect costs and quality of life: National US estimates.

BACKGROUND MS imposes a significant burden on patients, caregivers, employers, and the healthcare system. OBJECTIVE To comprehensively evaluate the US MS burden using nationally representative data from the Medical Expenditure Panel Survey. METHODS We identified non-institutionalized patients aged ≥18 with MS (ICD-9 code 340) from 1998 to 2009 and compared them to individuals without an MS diagnosis (non-MS) during the interview year. The cohorts were compared using multivariate regression on direct costs, indirect costs (measured in terms of employment status, annual wages, and workdays missed), and health-related quality of life (HRQoL; measured using Short Form 12, SF-6 Dimensions, and quality-adjusted life years [QALYs]). RESULTS MS prevalence was 572,312 (95% CI: 397,004, 747,619). Annual direct costs were

Cost-effectiveness of continuous glucose monitoring and intensive insulin therapy for type 1 diabetes

24,327 higher for the MS population (n=526) vs. the non-MS population (n=270,345) (95% CI:

Multiple sclerosis prevalence in the United States commercially insured population

22,320,

Utilization characteristics of spinal interventions

26,333). MS patients had an adjusted 3.3-fold (95% CI: 2.4, 4.5) increase in the odds of not being employed vs. non-MS individuals and a 4.4-fold higher adjusted number of days in bed (95% CI 2.97, 6.45). On average, MS patients lost 10.04 QALYs vs. non-MS cohort. CONCLUSIONS MS was associated with higher healthcare costs across all components, reduced productivity due to unemployment and days spent in bed, and lower HRQoL.

Comparison of patient characteristics and gout-related health-care resource utilization and costs in patients with frequent versus infrequent gouty arthritis attacks

BackgroundOur objective was to determine the cost-effectiveness of Continuous Glucose Monitoring (CGM) technology with intensive insulin therapy compared to self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes in the United States.MethodsA Markov cohort analysis was used to model the long-term disease progression of 12 different diabetes disease states, using a cycle length of 1 year with a 33-year time horizon. The analysis uses a societal perspective to model a population with a 20-year history of diabetes with mean age of 40. Costs are expressed in

Understanding barriers to medication adherence in the hypertensive population by evaluating responses to a telephone survey

US 2007, effectiveness in quality-adjusted life years (QALYs). Parameter estimates and their ranges were derived from the literature. Utility estimates were drawn from the EQ-5D catalogue. Probabilities were derived from the Diabetes Control and Complications Trial (DCCT), the United Kingdom Prospective Diabetes Study (UKPDS), and the Wisconsin Epidemiologic Study of Diabetic Retinopathy. Costs and QALYs were discounted at 3% per year. Univariate and Multivariate probabilistic sensitivity analyses were conducted using 10,000 Monte Carlo simulations.ResultsCompared to SMBG, use of CGM with intensive insulin treatment resulted in an expected improvement in effectiveness of 0.52 QALYs, and an expected increase in cost of

Comparative Effectiveness of Quality Improvement Interventions for Pressure Ulcer Prevention in Academic Medical Centers in the United States

23,552, resulting in an ICER of approximately

Hospital-Acquired Pressure Ulcers at Academic Medical Centers in the United States, 2008–2012: Tracking Changes Since the CMS Nonpayment Policy

45,033/QALY. For a willingness-to-pay (WTP) of