Literature DB >> 24628528

Incident user cohorts for assessing medication cost-offsets.

Bruce Stuart1, F Ellen Loh, Pamela Roberto, Laura Miller.   

Abstract

OBJECTIVE: To develop and test incident drug user designs for assessing cost savings from statin use in diabetics. DATA SOURCE: Random 5 percent sample of Medicare beneficiaries, 2006-2008. STUDY
DESIGN: Seven-step incident user design to assess impact of statin initiation on subsequent Medicare spending: (1) unadjusted pre/post initiation test; (2) unadjusted difference-in-difference (DID) with comparison series; (3) adjusted DID; (4) propensity score (PS)-matched DID with static and dynamic baseline covariates; (5) PS-matched DID by drug adherence strata; (6) PS-matched DID for high adherers controlling for healthy adherer bias; and (7) replication for ACE-inhibitor/ARB initiators. DATA COLLECTION/EXTRACTION
METHODS: Subjects with prevalent diabetes and no statin use (January-June 2006) and statin initiation (July 2006-January 2008) compared to nonusers with a random "potential-initiation" month. Monthly Medicare spending tracked 24 months pre- and post-initiation. PRINCIPAL
FINDINGS: Statistically significant savings in Medicare spending were observed beginning 7 months post-initiation for statins and 13 months post-initiation for ACEIs/ARBs. However, these savings were only observed for adherent patients in steps 5 and 6.
CONCLUSIONS: Drug initiator designs are more robust to confounding than prevalent user designs in assessing cost-offsets from drug use but still require other adjustments and sensitivity analysis to ensure proper inference. © Health Research and Educational Trust.

Entities:  

Keywords:  Drug initiator design; cost-offsets; statins

Mesh:

Substances:

Year:  2014        PMID: 24628528      PMCID: PMC4239854          DOI: 10.1111/1475-6773.12170

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  38 in total

1.  Randomized, controlled trials, observational studies, and the hierarchy of research designs.

Authors:  J Concato; N Shah; R I Horwitz
Journal:  N Engl J Med       Date:  2000-06-22       Impact factor: 91.245

2.  Propensity score methods in drug safety studies: practice, strengths and limitations.

Authors:  J Wang; P T Donnan
Journal:  Pharmacoepidemiol Drug Saf       Date:  2001 Jun-Jul       Impact factor: 2.890

Review 3.  Postmenopausal hormone replacement therapy and the primary prevention of cardiovascular disease.

Authors:  Linda L Humphrey; Benjamin K S Chan; Harold C Sox
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Review 4.  Muscular side effects of statins.

Authors:  Helmut Sinzinger; Roswitha Wolfram; Bernhard A Peskar
Journal:  J Cardiovasc Pharmacol       Date:  2002-08       Impact factor: 3.105

5.  A checklist for retrospective database studies--report of the ISPOR Task Force on Retrospective Databases.

Authors:  Brenda Motheral; John Brooks; Mary Ann Clark; William H Crown; Peter Davey; Dave Hutchins; Bradley C Martin; Paul Stang
Journal:  Value Health       Date:  2003 Mar-Apr       Impact factor: 5.725

Review 6.  Early vascular benefits of statin therapy.

Authors:  Stavroula Tsiara; Moses Elisaf; Dimitri P Mikhailidis
Journal:  Curr Med Res Opin       Date:  2003       Impact factor: 2.580

7.  Long-term persistence in use of statin therapy in elderly patients.

Authors:  Joshua S Benner; Robert J Glynn; Helen Mogun; Peter J Neumann; Milton C Weinstein; Jerry Avorn
Journal:  JAMA       Date:  2002 Jul 24-31       Impact factor: 56.272

8.  Should eligibility for medication therapy management be based on drug adherence?

Authors:  Bruce Stuart; Ellen Loh; Laura Miller; Pamela Roberto
Journal:  J Manag Care Pharm       Date:  2014-01

9.  Patient adherence and medical treatment outcomes: a meta-analysis.

Authors:  M Robin DiMatteo; Patrick J Giordani; Heidi S Lepper; Thomas W Croghan
Journal:  Med Care       Date:  2002-09       Impact factor: 2.983

10.  Evaluating medication effects outside of clinical trials: new-user designs.

Authors:  Wayne A Ray
Journal:  Am J Epidemiol       Date:  2003-11-01       Impact factor: 4.897

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