Literature DB >> 6754838

Use of a computer-based Medicaid drug data to analyze and correct inappropriate medication use.

J Avorn, S B Soumerai.   

Abstract

In an experimental controlled trial, prescribing records were obtained from the Medicaid Management Information Systems (MMIS) of four states for all physicians participating in the Medicaid programs of those states. Three categories of drugs that are commonly misprescribed were identified, and moderate to high prescribers of these drugs were identified from the MMIS data set. These physicians were then randomly divided into three groups. One group received no intervention, the second group received an innovative series of print materials urging appropriate drug use, and a third group received the print materials and was visited by consultant pharmacists to discuss the drugs in question. Our experience suggests that use of Medicaid prescribing data can be an efficient and accurate way of conducting large-scale surveillance of misprescribing, and of targeting interventions that can improve such suboptimal drug utilization. Use of the same data set in a follow-up period can monitor the effectiveness of each mode of intervention and will measure the degree of behavior change for each physician.

Mesh:

Year:  1982        PMID: 6754838     DOI: 10.1007/bf00992880

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Drug information for prescribers and dispensers: toward a model system.

Authors:  T D Rucker
Journal:  Med Care       Date:  1976-02       Impact factor: 2.983

2.  Medicaid records as a valid data source: the Tennessee experience.

Authors:  C F Federspiel; W A Ray; W Schaffner
Journal:  Med Care       Date:  1976-02       Impact factor: 2.983

3.  Impact of a drug bulletin on prescribing oral analgesics in a teaching hospital.

Authors:  C G Berbatis; M J Maher; R J Plumridge; J U Stoelwinder; S R Zubrick
Journal:  Am J Hosp Pharm       Date:  1982-01
  3 in total
  3 in total

1.  Outcomes of a randomized controlled trial of a clinical pharmacy intervention in 52 nursing homes.

Authors:  M S Roberts; J A Stokes; M A King; T A Lynne; D M Purdie; P P Glasziou; D A Wilson; S T McCarthy; G E Brooks; F J de Looze; C B Del Mar
Journal:  Br J Clin Pharmacol       Date:  2001-03       Impact factor: 4.335

Review 2.  Assessing physicians' use of treatment algorithms: Project IMPACTS study design and rationale.

Authors:  Madhukar H Trivedi; Cynthia A Claassen; Bruce D Grannemann; T Michael Kashner; Thomas J Carmody; Ella Daly; Janet K Kern
Journal:  Contemp Clin Trials       Date:  2006-08-16       Impact factor: 2.226

Review 3.  Pharmacoepidemiologic research in Australia: challenges and opportunities for monitoring patients with rheumatic diseases.

Authors:  Christine Y Lu
Journal:  Clin Rheumatol       Date:  2009-02-04       Impact factor: 2.980

  3 in total

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