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Radomski TR, Good CB, Thorpe CT, Zhao X, Marcum ZA, Glassman PA, Lowe J, Mor MK, Fine MJ, Gellad WF. Variation in Formulary Management Practices Within the Department of Veterans Affairs Health Care System. J Manag Care Spec Pharm 2015; 22:114-20. [PMID: 27015250 PMCID: PMC7024562 DOI: 10.18553/jmcp.2016.14251] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND All Department of Veterans Affairs Medical Centers (VAMCs) operate under a single national drug formulary, yet substantial variation in prescribing and spending exists across facilities. Local management of the national formulary may differ across VAMCs and may be one cause of this variation. OBJECTIVE To characterize variation in the management of nonformulary medication requests and pharmacy and therapeutics (P&T) committee member perceptions of the formulary environment at VAMCs nationwide. METHODS We performed an online survey of the chief of pharmacy and an additional staff pharmacist and physician on the P&T committee at all VAMCs. Respondents were asked questions regarding criteria for use for nonformulary medications, specific procedures for ordering nonformulary medications in general and specific lipid-lowering and diabetes agents, the appeals process, and the formulary environment at their VAMCs. We compared responses across facilities and between chiefs of pharmacy, pharmacists, and physicians. RESULTS A total of 212 chief pharmacists (n = 80), staff pharmacists (n = 78), and physicians (n = 54) responded, for an overall response rate of 49%. In total, 107/143 (75%) different VAMCs were represented. The majority of VAMCs reported adhering to national criteria for use, with 38 (36%) being very adherent and 69 (65%) being mostly adherent. There was substantial variation between VAMCs regarding how nonformulary drugs were ordered, evaluated, and appealed. The nonformulary lipid-lowering drugs ezetimibe, rosuvastatin, and atorvastatin were viewable to providers in the order entry screen at 67 (63%), 67 (63%), and 64 (60%) VAMCs, respectively. The nonformulary diabetes medication pioglitazone was only viewable at 58 (55%) VAMCs. In the remaining VAMCs, providers could not order these nonformulary drugs through the normal order-entry process. For questions about the formulary environment, physician respondent perceptions differed from those of staff pharmacists and chief pharmacists. Compared with pharmacy chiefs and staff pharmacists, physicians were less likely to agree that providers at their VAMC prescribed too many nonformulary medications (47% and 44% vs. 12%, P < 0.001), more likely to agree that providers must jump through too many hoops to prescribe nonformulary medication (5% and 3% vs. 25%, P < 0.001), and more likely to agree that providers make an effort to convert new patients from nonformulary to formulary lipid-lowering (65% and 73% vs. 94%, P <0.02) and diabetic medications (49% and 50% vs. 88%, P < 0.001). CONCLUSIONS Although the Department of Veterans Affairs (VA) operates under a single national formulary, we found significant differences among VAMCs regarding their management of nonformulary medication requests. We also found differences among formulary leaders regarding their perception of the environment in which their VAMC's formulary is managed. These findings have important implications not just for VA, but for any organization that develops, implements, and manages drug formularies across multiple facilities.
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Affiliation(s)
- Thomas R Radomski
- 1 Clinical Instructor, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, and Clinical Research Fellow, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Chester B Good
- 2 Professor, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine; Professor, Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy; Core Investigator, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; and Chair, Medical Advisory Panel, and Co-director, VA Center for Medication Safety, Pharmacy Benefits Management Services, U.S. Department of Veterans Affairs, Hines, Illinois
| | - Carolyn T Thorpe
- 3 Core Investigator, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, and Assistant Professor, Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| | - Xinhua Zhao
- 4 Statistician, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Zachary A Marcum
- 5 Assistant Professor, Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Peter A Glassman
- 6 Staff Physician, VA Greater Los Angeles Healthcare System; Professor of Clinical Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles; and Chair, Medical Advisory Panel, and Co-director, VA Center for Medication Safety, Pharmacy Benefits Management Services, U.S. Department of Veterans Affairs, Hines, Illinois
| | - John Lowe
- 7 Associate Chief Consultant, Pharmacy Compliance and Efficiency, Pharmacy Benefits Management Services, U.S. Department of Veterans Affairs, Hines, Illinois
| | - Maria K Mor
- 8 Director, Biostatistics and Informatics Core, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, and Research Assistant Professor, Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael J Fine
- 9 Professor, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, and Director, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Walid F Gellad
- 10 Associate Professor, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, and Core Investigator, Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
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Polinski JM, Schneeweiss S, Maclure M, Marshall B, Ramsden S, Dormuth C. Time series evaluation of an intervention to increase statin tablet splitting by general practitioners. Clin Ther 2011; 33:235-43. [PMID: 21497707 DOI: 10.1016/j.clinthera.2011.02.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2011] [Indexed: 10/18/2022]
Abstract
BACKGROUND Tablet splitting, in which a higher-dose tablet is split to get 2 doses, reduces patients' drug costs. Statins can be split safely. General practitioners (GPs) may not direct their patients to split statins because of safety concerns or unawareness of costs. Medical chart inserts provide cost-effective education to physicians. OBJECTIVE The aim of this study was to assess whether providing GPs with statin-splitting chart inserts would increase splitting rates, and to identify predictors of splitting. METHODS In 2005 and 2006, we faxed a statin chart insert to British Columbia GPs with a request for a telephone interview. Consenting GPs were mailed 3 statin chart inserts and interviewed by phone (the intervention). In an interrupted time series, we compared monthly rates of statin-splitting prescriptions among intervention and nonintervention GPs before, during, and after the intervention. In multivariate logistic regressions accounting for patient clustering, predictors of splitting included physician and patient demographics and the specific statin prescribed. RESULTS Of 5051 GPs reached, 282 (6%) agreed to the intervention. Before the intervention, GPs' splitting rate was 2.6%; after intervention, GPs' splitting rate was 7.5%. The rate for the nonintervention GPs was 4.4%. Intervention GPs were 1.68 (95% CI, 1.12-2.53) times more likely to prescribe splitting after the intervention than were nonintervention GPs. Other predictors were a patient's female sex (odds ratio [OR] = 1.26; 95% CI, 1.18-1.34), lower patient income (OR = 1.33; 95% CI, 1.18-1.34), and a lack of drug insurance (OR = 1.89; 95% CI, 1.69-2.04). CONCLUSIONS An inexpensive intervention was effective in producing a sustained increase in GPs' splitting rate during 22 months of observed follow-up. Expanding statin-splitting education to all GPs might reduce prescription costs for many patients and payors.
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Affiliation(s)
- Jennifer M Polinski
- Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts 02120, USA.
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Chapman RH, Benner JS, Girase P, Benigno M, Axelsen K, Liu LZ, Nichol MB. Generic and therapeutic statin switches and disruptions in therapy. Curr Med Res Opin 2009; 25:1247-60. [PMID: 19344292 DOI: 10.1185/03007990902876271] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND The study objective was to compare dose-equivalence, adherence and subsequent switch rates among patients recently switched from a branded to generic version of the same statin (generic substitution, GS) vs. those switched from branded statin to generic version of a different statin (therapeutic substitution, TS). METHODS In a retrospective cohort analysis among adult enrollees in over 90 US health plans, the authors identified adult patients who switched from a branded to generic statin from July-December 2006 (simvastatin became generic in June 2006). Patients were classified by type of statin switch: GS (e.g., branded simvastatin --> generic simvastatin), and TS (e.g., branded atorvastatin --> generic simvastatin). Demographic and clinical data were collected from claims before switch through 6 months follow-up. Separate outcomes of interest included proportion of patients that switched to a less potent daily dose, that switched back to previous branded statin after switch, and that were at least 80% adherent during the 6 months after initial switch. Significant predictors of each clinical outcome were identified using multivariable logistic regression models, adjusting for differences between groups in covariates and potential confounders. RESULTS The 6-month TS (n = 3807) and GS (n = 40,165) groups were generally similar demographically. Compared to GS, TS patients were significantly more likely to be switched to a less potent dose (26.2% vs. 0.5%, adjusted odds ratio [AOR] in patients with high-potency index medication = 83.4, p < 0.0001); 33% less likely to be adherent in the 6 months after switch (67.7% vs. 75.9%, AOR in patients with no switch in first 6 months follow-up = 0.67, p < 0.0001); and four times more likely to switch back to previous branded statin (11.3% vs. 2.9%, AOR = 4.1, p < 0.0001). LIMITATIONS This study did not account for co-payment changes, lipid measurements, or changes in pill burden. CONCLUSIONS While this study did not have data on why patients had TS (e.g., for cost or clinical reasons), TS was more likely to involve a subsequent disruption to statin therapy than GS. TS could potentially lead to adverse impacts on patients' outcomes, and should be studied further.
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Vuchetich PJ, Garis RI, Jorgensen AMD. Evaluation of cost savings to a state Medicaid program following a sertraline tablet-splitting program. J Am Pharm Assoc (2003) 2003; 43:497-502. [PMID: 12952314 DOI: 10.1331/154434503322226248] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVES To evaluate the economic impact of implementing a sertraline (Zoloft--Pfizer) tablet-splitting program on the Nebraska Medicaid program based on the change in total and per-member-per-month (PMPM) prescription drug costs and to identify any real or perceived problems with tablet splitting using switches among selective serotonin reuptake inhibitors (SSRIs) as a proxy indicator. DESIGN Retrospective study of prescription claims before and after the tablet-splitting program was implemented. SETTING Nebraska Medicaid. PATIENTS All 14,520 patients who received an SSRI during the study period, including 5,466 patients who received at least one prescription for sertraline. INTERVENTIONS The Nebraska Medicaid program implemented a mandatory tablet-splitting program for sertraline. Pharmacists were paid a supplemental fee to split tablets. MAIN OUTCOME MEASURES Total costs, PMPM costs, and switches among SSRIs. RESULTS Using regression analysis, sertraline was the only SSRI that showed a downward slope in total cost per month, although the decrease was not statistically significant (P = .1156). Fluoxetine (Prozac--Eli Lilly) and paroxetine (Paxil--GlaxoSmithKline) both showed an upward slope, but the increases were not statistically significant (P = .1164 and .0671, respectively). Citalopram (Celexa--Forest) and fluvoxamine showed significantly positive upward slopes (P = .0001 and .0391, respectively). Sertraline was also the only SSRI that showed a downward slope in PMPM costs (P = .0093). Citalopram, fluvoxamine, fluoxetine, and paroxetine all showed an upward slope in PMPM costs (P = .4494, .0008, .0448, and .0482, respectively). The tablet-splitting program was not associated with a net change in patients being switched to or from sertraline. CONCLUSION Implementing the sertraline tablet-splitting program significantly decreased the PMPM cost of sertraline prescriptions, but it did not significantly decrease total costs of sertraline, nor did it result in disproportionate numbers of patients switching from sertraline to other SSRIs. Total costs and PMPM costs of the other four SSRI drugs did not decrease.
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Affiliation(s)
- Phillip J Vuchetich
- Department of Pharmacy Sciences, School of Pharmacy and Health Professions, Creighton University Medical Center, Omaha, Neb. 68178, USA.
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Rindone JP. The outcome of very low dosages of simvastatin in patients with hypercholesterolemia. Pharmacotherapy 1999; 19:399-403. [PMID: 10212010 DOI: 10.1592/phco.19.6.399.31045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
A retrospective study evaluated the success of dosages of simvastatin lower than the 10-20 mg/day recommended by the manufacturer in patients with hypercholesterolemia. Records of 95 patients enrolled in a pharmacist-managed lipid clinic receiving stable dosages of simvastatin were reviewed. Data collected were demographics, number of simvastatin refills, dosage distribution, baseline and posttreatment lipid profiles, and proportion of patients with low-density lipoprotein (LDL) levels below target as recommended by the National Cholesterol and Education Program. Dosages for 62% of patients were less than 20 mg/day. Percentages of patients at goal LDL were 98%, 89%, and 83% for patients taking 2.5, 5, and 10 mg/day, respectively. Patients taking 40 mg/day were least likely to be below the goal. There was an even distribution of patients taking each dosage. No statistical difference in compliance was noted among dosages based on prescription refills. Most patients taking less than the recommended initial dosage of the agent had satisfactory lipid control.
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Affiliation(s)
- J P Rindone
- Veterans Affairs Medical Center, Prescott, Arizona 86313, USA
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