Publications

2005

Aspinall, Sherrie L, Chester B Good, Peter A Glassman, and Michael A Valentino. (2005) 2005. “The Evolving Use of Cost-Effectiveness Analysis in Formulary Management Within the Department of Veterans Affairs.”. Medical Care 43 (7 Suppl): 20-6.

The Veterans Health Administration (VHA) runs the largest integrated healthcare system in the nation. Formulary management within VHA primarily involves 3 national groups: the Medical Advisory Panel, the Veterans Integrated Service Network Formulary Leaders, and the Pharmacy Benefits Management Strategic Healthcare Group. Together, these groups manage the VHA national drug formulary with a goal of providing a comprehensive, safe, and cost-effective pharmacy benefit for veterans. Traditionally, VHA has relied on cost-minimization analyses in formulary decisions. More recently, VHA has emphasized the use of cost-effectiveness data, especially for newer, costly drugs. In addition to including this data in drug monographs, the VHA has begun requiring formal cost-effectiveness analysis from manufacturers of selected pharmaceuticals. VHA has also requested that clinically relevant information such as quality of life plus mortality benefit be made available from industry so that internal cost analyses can be performed. It is hoped that by setting the expectation that cost-effectiveness will be formally considered in all VHA formulary decisions, the pharmaceutical industry and others will be stimulated to collect and report data that enables these analyses. We believe that if other organizations also place an emphasis on economic evaluations, industry and the public will be more accepting of decisions that incorporate cost considerations.

Zahid, Maliha, Ali F Sonel, Mary E Kelley, Lauren Wall, Jeff Whittle, Michael J Fine, and Chester B Good. (2005) 2005. “Effect of Both Elevated Troponin-I and Peripheral White Blood Cell Count on Prognosis in Patients With Suspected Myocardial Injury.”. The American Journal of Cardiology 95 (8): 970-2.

We found a high white blood cell count (>11,000/mul) to be of additive prognostic value to high troponin-I levels in predicting risk of recurrent nonfatal myocardial infarctions and all-cause mortality in patients who present with acute coronary syndromes and non-ST-elevation myocardial infarctions. A high troponin-I level or white blood cell count increased the odds ratio of an event to 2.2 (95% confidence interval 1.0 to 4.73, p = 0.05), but high values for the 2 markers increased the odds ratio to 4.5 (95% confidence interval 1.42 to 14.21, p = 0.01).

Kilbourne, Amy M, Charles F Reynolds, Chester B Good, Susan M Sereika, Amy C Justice, and Michael J Fine. (2005) 2005. “How Does Depression Influence Diabetes Medication Adherence in Older Patients?”. The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry 13 (3): 202-10.

OBJECTIVE: Using various measures (electronic monitoring, patient/provider report, pharmacy data), the authors assessed the association between depression and diabetes medication adherence among older patients with Type 2 diabetes.

METHODS: Patients completed a baseline survey on depression (Patient Health Questionnaire) and were given electronic monitoring caps (EMCs) to use with their oral hypoglycemic medication. At the time of the patient baseline survey, providers completed a survey on their patients' overall medication adherence. Upon returning the caps after 30 days, patients completed a survey on their overall medication adherence. EMC adherence was defined as percent of days out of 30 with correct number of doses. Using pharmacy refill data from the patient baseline through 1 year later, they defined adherence as the percentage of days with adequate medication, based on days' supply across refill periods.

RESULTS: Of 203 patients (mean age: 67 years), 10% (N=19) were depressed. Depressed patients were less likely to self-report good adherence and had a lower median percentage of days with adequate medication coverage (on the basis of pharmacy refill data). After adjustment for alcohol use, cognitive impairment, age, and other medication use, depression was still negatively associated with adequate adherence, according to patient report and pharmacy data. Depression showed no associated with adherence on the basis of provider or EMC data.

CONCLUSIONS: Depression was independently associated with inadequate medication adherence on the basis of patient self-report and pharmacy data.

Kilbourne, Amy M, Mark S Bauer, Xiaoyan Han, Gretchen L Haas, Patrick Elder, Chester B Good, Mujeeb Shad, Joseph Conigliaro, and Harold Pincus. (2005) 2005. “Racial Differences in the Treatment of Veterans With Bipolar Disorder.”. Psychiatric Services (Washington, D.C.) 56 (12): 1549-55.

OBJECTIVES: The authors examined whether African Americans, compared with whites, received guideline-concordant care for bipolar I disorder.

METHODS: A retrospective analysis was conducted of data for patients who received a diagnosis of bipolar I disorder in fiscal year 2001 and received care in facilities in the Department of Veterans Affairs (VA) mid-Atlantic region. Indicators of guideline-concordant care were based on prescription data and data on utilization of inpatient and outpatient services from VA databases.

RESULTS: A total of 2,316 patients with a diagnosis of bipolar I disorder were identified. Their mean age was 52 years; 9.4 percent (N=218) were women, and 13.1 percent (N=303) were African American. Overall, mood stabilizers were prescribed for 74.6 percent (N=1,728) of the patients; 67.1 percent (N=1,554) had an outpatient mental health visit within 90 days after the index diagnosis, and 54.3 percent (N=1,258) had an outpatient visit within 30 days after discharge from a psychiatric hospitalization. Multivariate logistic regression analyses with adjustment for sociodemographic and facility factors revealed that African Americans were less likely than whites to have an outpatient follow-up visit within 90 days after the index diagnosis. Race was not associated with receipt of mood stabilizers or use of outpatient services after a hospital discharge.

CONCLUSIONS: Although a majority of patients received guideline-concordant care for bipolar disorder, potential gaps in continuity of outpatient care may exist for African-American patients.

Aspinall, Sherrie L, Beth E DeSanzo, Lauren E Trilli, and Chester B Good. (2005) 2005. “Bleeding Risk Index in an Anticoagulation Clinic. Assessment by Indication and Implications for Care.”. Journal of General Internal Medicine 20 (11): 1008-13.

BACKGROUND: The Outpatient Bleeding Risk Index (BRI) prospectively classified patients who were at high, intermediate, or low risk for warfarin-related major bleeding. However, there are only 2 published validation studies of the index and neither included veterans.

OBJECTIVE: To determine the accuracy of the BRI in patients attending a Veterans Affairs (VA) anticoagulation clinic and to specifically evaluate the accuracy of the BRI in patients with atrial fibrillation.

DESIGN: Retrospective cohort study.

PATIENTS AND MEASUREMENTS: Using the BRI, all patients managed by the Anticoagulation Clinic between January 1, 2001 and December 31, 2002 were classified as high, intermediate, or low risk for major bleeding. Bleeds were identified via quality-assurance reports. Poisson regression was used to determine whether there was an association between the index and the development of bleeding.

RESULTS: The rate of major bleeding was 10.6%, 2.5%, and 0.8% per patient-year of warfarin in the high-, intermediate-, and low-risk groups, respectively. Patients in the high-risk category had 14 times the rate of major bleeding of those in the low-risk group (incidence rate ratio (IRR) 14; 95% confidence interval (CI), 1.9 to 104.7). The rate of major bleeding was significantly different between the high- and intermediate-risk categories (P<.001). Among those with atrial fibrillation, patients in the high-risk category had 6 times the major bleeding rate of those in the intermediate- and low-risk groups combined (IRR=6; 95% CI, 2.4 to 15.3).

CONCLUSIONS: The BRI discriminates between high- and intermediate-risk patients in a VA anticoagulation clinic, including those with atrial fibrillation.