Literature DB >> 31134859

Factors Influencing Prescription Drug Synchronization: The Complex Role of Number of Medications.

Joan M Neuner1, Nicole Fergestrom2, Purushottam W Laud3, Liliana Pezzin.   

Abstract

BACKGROUND: Despite the well-documented association of medication refill synchronization with medication adherence, little is known about how best to measure synchronization at pharmacy visits or about its relationship to number of medications.
OBJECTIVE: To examine the relationship of a commonly cited synchronization measure with the number of prescription medications.
METHODS: Using a cohort of women aged 66-90 years with stage 0-3 hormone receptor-positive breast cancer from the Surveillance, Epidemiology and End Result (SEER)-Medicare data, we identified women with pharmacy claims for at least 1 endocrine therapy prescription and at least 1 other medication fill. Twelve-month medication refill synchronization was calculated as the quotient of the number of pharmacy visits and the number of filled medications subtracted from 1. Multiple linear regression (including polynomials) was then used to assess the relationship between refill synchronization, number of medications, and other potentially influential factors.
RESULTS: Over 47% of cohort subjects took more than 10 unique medications. Subjects made an average (SD) of 29.9 (18.0) pharmacy visits, resulting in a mean (SD) synchronization of 0.28 (0.18, range = 0.0-0.92). The number of medications, including powers through to the fourth, was strongly associated with refill synchronization, with a rapid initial rise followed by a gradual increase after 10 medications. Although patient age and race/ethnicity were not associated with synchronization, there was a significant positive association of receipt of a low-income subsidy and residence in rural areas with synchronization.
CONCLUSIONS: There is a complex relationship between refill synchronization and number of prescribed medications, and future research into synchronization should account for this. DISCLOSURES: This study was supported by the National Institute on Minority Health and Health Disparities under grant R01 MD010728. The authors have nothing to disclose. This study was presented as an oral abstract at the Society of General Internal Medicine Meeting; April 13, 2018; Denver, CO.

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Year:  2019        PMID: 31134859      PMCID: PMC8787858          DOI: 10.18553/jmcp.2019.25.6.714

Source DB:  PubMed          Journal:  J Manag Care Spec Pharm


  14 in total

1.  Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population.

Authors:  Joan L Warren; Carrie N Klabunde; Deborah Schrag; Peter B Bach; Gerald F Riley
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

2.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

3.  Patterns of chemotherapy, toxicity, and short-term outcomes for older women receiving adjuvant trastuzumab-based therapy.

Authors:  Rachel A Freedman; Ines Vaz-Luis; William T Barry; Huichuan Lii; Nancy U Lin; Eric P Winer; Nancy L Keating
Journal:  Breast Cancer Res Treat       Date:  2014-04-23       Impact factor: 4.872

4.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

5.  Synchronized prescription refills and medication adherence: a retrospective claims analysis.

Authors:  Jalpa A Doshi; Raymond Lim; Pengxiang Li; Peinie P Young; Victor F Lawnicki; Andrea B Troxel; Kevin G Volpp
Journal:  Am J Manag Care       Date:  2017-02       Impact factor: 2.229

6.  Use and outcomes of adjuvant chemotherapy in older women with breast cancer.

Authors:  Sharon H Giordano; Zhigang Duan; Yong-Fang Kuo; Gabriel N Hortobagyi; James S Goodwin
Journal:  J Clin Oncol       Date:  2006-06-20       Impact factor: 44.544

7.  Development of a comorbidity index using physician claims data.

Authors:  C N Klabunde; A L Potosky; J M Legler; J L Warren
Journal:  J Clin Epidemiol       Date:  2000-12       Impact factor: 6.437

8.  Impact of Appointment-Based Medication Synchronization on Existing Users of Chronic Medications.

Authors:  David Holdford; Kunal Saxena
Journal:  J Manag Care Spec Pharm       Date:  2015-08

9.  A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients.

Authors:  Carrie N Klabunde; Julie M Legler; Joan L Warren; Laura-Mae Baldwin; Deborah Schrag
Journal:  Ann Epidemiol       Date:  2007-05-25       Impact factor: 3.797

10.  The impact of a retail prescription synchronization program on medication adherence.

Authors:  Charmaine Girdish; William Shrank; Sarah Freytag; David Chen; Doug Gebhard; Andrew Bunton; Niteesh Choudhry; Jennifer Polinski
Journal:  J Am Pharm Assoc (2003)       Date:  2017-07-29
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  1 in total

1.  The association of pharmacy fill synchronization with breast cancer endocrine therapy adherence.

Authors:  Joan M Neuner; Nicole M Fergestrom; Purushottam W Laud; Ann B Nattinger; Kirsten M M Beyer; Kathryn E Flynn; Liliana E Pezzin
Journal:  Cancer       Date:  2019-08-02       Impact factor: 6.860

  1 in total

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