Literature DB >> 18442181

Validity and comparison of two measures of days supply in Medicaid claims data.

Robert Gross1, Warren B Bilker, Brian L Strom, Sean Hennessy.   

Abstract

BACKGROUND: In claims-based pharmacoepidemiologic and health services research studies of chronic medications, days supply can be determined using either an observed measure or a measure calculated from quantity dispensed and dosing directions. The two measures should yield the same duration, but if not, the preferred method is unknown.
OBJECTIVES: We aimed to determine whether the observed or calculated measure of days supply more closely approximated the actual refill interval.
METHODS: Using California Medicaid data from 1998 to 2001, we identified all prescriptions followed by > or = 1 refill for nevirapine and abacavir tablets. For each record, we calculated the difference between the days supply and the refill interval for each method. In a subgroup analysis, we compared the measures only in records where the methods were discordant.
RESULTS: Of 29 646 records, in 27 230 (92.5%) the measures were identical. The difference between the days supply and the refill interval was identical for each measure with a median difference of 4 days (range 0-1142 days), p = 0.5 for the difference between them. In the discordant subset, the median difference for the observed measure was 10 days (range 0-1053 days) and for the calculated measure it was 12 days (range 0-1023 days), p = 0.003 for the difference between them.
CONCLUSIONS: In California Medicaid, observed and calculated measures of days supply generally provided identical data which closely approximated the refill interval. In the few discordant records, the observed measure was slightly more accurate. These findings suggest that both variables provide valid data for temporal relations between anti-retroviral prescriptions and events.

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Year:  2008        PMID: 18442181     DOI: 10.1002/pds.1606

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  7 in total

1.  Sensitivity of the Medication Possession Ratio to Modelling Decisions in Large Claims Databases.

Authors:  Margret V Bjarnadottir; David Czerwinski; Eberechukwu Onukwugha
Journal:  Pharmacoeconomics       Date:  2018-03       Impact factor: 4.981

2.  Measuring drug exposure: concordance between defined daily dose and days' supply depended on drug class.

Authors:  Sarah-Jo Sinnott; Jennifer M Polinski; Stephen Byrne; Joshua J Gagne
Journal:  J Clin Epidemiol       Date:  2015-06-04       Impact factor: 6.437

3.  Mortality associated with medical therapy versus elective colectomy in ulcerative colitis: a cohort study.

Authors:  Meenakshi Bewtra; Craig W Newcomb; Qufei Wu; Lang Chen; Fenglong Xie; Jason A Roy; Cary B Aarons; Mark T Osterman; Kimberly A Forde; Jeffrey R Curtis; James D Lewis
Journal:  Ann Intern Med       Date:  2015-08-18       Impact factor: 25.391

4.  Evaluation of methods to estimate missing days' supply within pharmacy data of the Clinical Practice Research Datalink (CPRD) and The Health Improvement Network (THIN).

Authors:  Kirsten J Lum; Craig W Newcomb; Jason A Roy; Dena M Carbonari; M Elle Saine; Serena Cardillo; Harshvinder Bhullar; Arlene M Gallagher; Vincent Lo Re
Journal:  Eur J Clin Pharmacol       Date:  2016-10-27       Impact factor: 2.953

Review 5.  Claims-based measures of prescription opioid utilization: A practical guide for researchers.

Authors:  Sara E Heins; Christine Buttorff; Courtney Armstrong; Rosalie Liccardo Pacula
Journal:  Drug Alcohol Depend       Date:  2021-09-22       Impact factor: 4.492

6.  Medication adherence and use of generic drug therapies.

Authors:  Becky A Briesacher; Susan E Andrade; Hassan Fouayzi; K Arnold Chan
Journal:  Am J Manag Care       Date:  2009-07       Impact factor: 2.229

7.  Accuracy of the days' supply and the number of refills allowed recorded in Québec prescription claims databases for inhaled corticosteroids.

Authors:  Lucie Blais; Anne Vilain; Fatima-Zohra Kettani; Amélie Forget; Geneviève Lalonde; Marie-France Beauchesne; Francine M Ducharme; Catherine Lemière
Journal:  BMJ Open       Date:  2014-11-28       Impact factor: 2.692

  7 in total

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