Literature DB >> 20014874

The cost and incidence of prescribing errors among privately insured HIV patients.

Fred J Hellinger1, William E Encinosa.   

Abstract

BACKGROUND: With the rapid growth in the volume of HIV-related studies that address drug interactions, appropriate medication regimens, and when and how to alter drug regimens, it is challenging for physicians to stay informed. Physicians require knowledge about all drugs taken by HIV patients in order to assess accurately the benefits and risks of various drug combinations.
OBJECTIVE: To examine the cost and frequency of antiretroviral prescribing errors among a sample of privately insured patients with HIV disease.
METHODS: Data were obtained from the MarketScan Commercial Claims and Encounter Database created by the Medstat Group Inc. The MarketScan database contains claims data for inpatient care, outpatient care, physician services and prescription drugs in benefit plans sponsored by >50 large employers in the US. This study compared data from the 1999-2000 MarketScan database with those from the 2005 MarketScan database. The 2005 MarketScan database includes 12,226 HIV enrollees who received antiretroviral drugs. This study compared the claims experience of HIV patients who filled a prescription for a drug combination that is not recommended by the US Department of Health and Human Services Panel on Antiretroviral Guidelines for Adults and Adolescents with the claims experience of patients who did not receive such a prescription.
RESULTS: In the 1999-2000 database the most common inappropriate drug combination involved the co-administration of a protease inhibitor (PI) and the lipid-lowering drug simvastatin, and 1% of patients experienced this type of error. In the 2005 database, only 0.4% of patients (46 of 12,226) experienced an inappropriate combination of simvastatin and a PI while 5.3% of patients (644 of 12,226) received atazanavir and tenofovir without ritonavir (referred to herein as 'boosting errors'). Patients who experienced a boosting error incurred higher annual costs than patients who took ritonavir along with tenofovir and atazanavir ($US 20,927 vs $US 16,704). Because atazanavir was approved by the US FDA in June 2003, medication errors involving atazanavir were not relevant in 1999 and 2000. Overall, it was found that HIV patients were three times as likely to experience an inappropriate drug combination in 2005 than they were in either 1999 or 2000 (5.9% vs 1.9%), and that this increase is attributable to boosting errors. In addition, the prevalence rate of HIV in the 2005 MarketScan database was almost triple that in the 1999 MarketScan database (0.14% vs 0.05%).
CONCLUSION: This study indicates that those who provide care to HIV patients must be vigilant in their efforts to provide patients with a drug therapy regimen that minimizes the chance of an adverse reaction and maximizes the potential to control viral replication.

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Year:  2010        PMID: 20014874     DOI: 10.2165/11313810-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  39 in total

1.  Antiretroviral medication errors were universal in hospitalized HIV-seropositive patients at a teaching hospital.

Authors:  H Edelstein; M Wilson
Journal:  J Acquir Immune Defic Syndr       Date:  2001-12-15       Impact factor: 3.731

2.  The 'Medicaidization' of AIDS. Trends in the financing of HIV-related medical care.

Authors:  J Green; P S Arno
Journal:  JAMA       Date:  1990-09-12       Impact factor: 56.272

3.  Atazanavir trough plasma concentration monitoring in a cohort of HIV-1-positive individuals receiving highly active antiretroviral therapy.

Authors:  Alan Winston; Mark Bloch; Andrew Carr; Janaki Amin; Patrick W G Mallon; John Ray; Debbie Marriott; David A Cooper; Sean Emery
Journal:  J Antimicrob Chemother       Date:  2005-07-04       Impact factor: 5.790

4.  Variations in the care of HIV-infected adults in the United States: results from the HIV Cost and Services Utilization Study.

Authors:  M F Shapiro; S C Morton; D F McCaffrey; J W Senterfitt; J A Fleishman; J F Perlman; L A Athey; J W Keesey; D P Goldman; S H Berry; S A Bozzette
Journal:  JAMA       Date:  1999 Jun 23-30       Impact factor: 56.272

5.  Antiretroviral prescribing errors in hospitalized patients.

Authors:  B D Purdy; A M Raymond; T S Lesar
Journal:  Ann Pharmacother       Date:  2000 Jul-Aug       Impact factor: 3.154

6.  Costs of HIV medical care in the era of highly active antiretroviral therapy.

Authors:  K A Gebo; R E Chaisson; J G Folkemer; J G Bartlett; R D Moore
Journal:  AIDS       Date:  1999-05-28       Impact factor: 4.177

7.  The effect of hospital experience on mortality among patients hospitalized with acquired immunodeficiency syndrome in California.

Authors:  W E Cunningham; D M Tisnado; H H Lui; T T Nakazono; D M Carlisle
Journal:  Am J Med       Date:  1999-08       Impact factor: 4.965

8.  Comparison of health state utilities using community and patient preference weights derived from a survey of patients with HIV/AIDS.

Authors:  Bruce R Schackman; Sue J Goldie; Kenneth A Freedberg; Elena Losina; John Brazier; Milton C Weinstein
Journal:  Med Decis Making       Date:  2002 Jan-Feb       Impact factor: 2.583

9.  HIV infection in hospitalized patients and Medicaid enrollees: the accuracy of medical record coding.

Authors:  L Rosenblum; J W Buehler; M W Morgan; S Costa; J Hidalgo; R Holmes; L Lieb; A Shields; B Whyte
Journal:  Am J Public Health       Date:  1993-10       Impact factor: 9.308

10.  Monitoring atazanavir concentrations with boosted or unboosted regimens in HIV-infected patients in routine clinical practice.

Authors:  José Moltó; José Ramón Santos; Marta Valle; Cristina Miranda; José Miranda; Asunción Blanco; Eugenia Negredo; Bonaventura Clotet
Journal:  Ther Drug Monit       Date:  2007-10       Impact factor: 3.681

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  12 in total

1.  Role of the Pharmacist in Caring for Patients with HIV/AIDS: Clinical Practice Guidelines.

Authors:  Alice Tseng; Michelle Foisy; Christine A Hughes; Deborah Kelly; Shanna Chan; Natalie Dayneka; Pierre Giguère; Niamh Higgins; Cara Hills-Nieminen; Jeff Kapler; Charles J L la Porte; Pam Nickel; Laura Park-Wyllie; Carlo Quaia; Linda Robinson; Nancy Sheehan; Shannon Stone; Linda Sulz; Deborah Yoong
Journal:  Can J Hosp Pharm       Date:  2012-03

2.  Understanding Toxoplasmosis in the United States Through "Large Data" Analyses.

Authors:  Joseph Lykins; Kanix Wang; Kelsey Wheeler; Fatima Clouser; Ashtyn Dixon; Kamal El Bissati; Ying Zhou; Christopher Lyttle; Andrey Rzhetsky; Rima McLeod
Journal:  Clin Infect Dis       Date:  2016-06-26       Impact factor: 9.079

3.  Adverse drug interactions: moving from perception to action.

Authors:  Ryan Mayhew; June M McKoy; Thanh Ha Luu; Isaac Lopez; Melissa Frick; Charles L Bennett
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

4.  Recognition and management of significant drug interactions in HIV patients: challenges in using available data to guide therapy.

Authors:  A K Pau; S D Boyd
Journal:  Clin Pharmacol Ther       Date:  2010-07-28       Impact factor: 6.875

5.  Medical expenditures associated with major depressive disorder among privately insured working-age adults with diagnosed diabetes in the United States, 2008.

Authors:  Sundar S Shrestha; Ping Zhang; Rui Li; Theodore J Thompson; Daniel P Chapman; Lawrence Barker
Journal:  Diabetes Res Clin Pract       Date:  2013-03-13       Impact factor: 5.602

6.  A systematic review of approaches for calculating the cost of medication errors.

Authors:  Krishan Patel; Robert Jay; Muhammad Waseem Shahzad; William Green; Rakesh Patel
Journal:  Eur J Hosp Pharm       Date:  2016-06-08

7.  Adherence to antiretroviral treatment and correlation with risk of hospitalization among commercially insured HIV patients in the United States.

Authors:  Paul E Sax; Juliana L Meyers; Michael Mugavero; Keith L Davis
Journal:  PLoS One       Date:  2012-02-24       Impact factor: 3.240

8.  Association between daily antiretroviral pill burden and treatment adherence, hospitalisation risk, and other healthcare utilisation and costs in a US medicaid population with HIV.

Authors:  Calvin J Cohen; Juliana L Meyers; Keith L Davis
Journal:  BMJ Open       Date:  2013-08-01       Impact factor: 2.692

9.  The prevalence of transmitted resistance to first-generation non-nucleoside reverse transcriptase inhibitors and its potential economic impact in HIV-infected patients.

Authors:  Sonya J Snedecor; Alexandra Khachatryan; Katherine Nedrow; Richard Chambers; Congyu Li; Seema Haider; Jennifer Stephens
Journal:  PLoS One       Date:  2013-08-22       Impact factor: 3.240

Review 10.  The next therapeutic challenge in HIV: polypharmacy.

Authors:  E Jennifer Edelman; Kirsha S Gordon; Janis Glover; Ian R McNicholl; David A Fiellin; Amy C Justice
Journal:  Drugs Aging       Date:  2013-08       Impact factor: 3.923

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