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Examining Factors Associated With Nonadherence And Identifying Providers Caring For Nonadherent Subgroups.
Taira, Deborah A; Seto, Brendan K; Davis, James W; Seto, Todd B; Landsittel, Doug; Sumida, Wesley K.
Afiliação
  • Taira DA; Daniel K. Inouye College of Pharmacy, University of Hawaii, 677 Ala Moana Blvd, Suite 1025, Honolulu, Hawaii 96813.
  • Seto BK; AC# 0857, Keefe Campus Center, Amherst College, Amherst, MA 01002-5000.
  • Davis JW; Office of Biostatistics & Quantitative Health Sciences, John. A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813.
  • Seto TB; Department of Medicine, John. A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813.
  • Landsittel D; Department of Medicine, Division of General Internal Medicine, University of Pittsburgh, 200 Meyran Avenue, Suite 300, Pittsburgh, PA 15213.
  • Sumida WK; Daniel K. Inouye College of Pharmacy, University of Hawaii, 677 Ala Moana Blvd, Suite 1025, Honolulu, Hawaii 96813.
J Pharm Health Serv Res ; 8(4): 247-253, 2017 Dec.
Article em En | MEDLINE | ID: mdl-29151900
ABSTRACT

OBJECTIVES:

To examine racial/ethnic and regional differences in medication adherence in patients with diabetes taking oral anti-diabetic, anti-hypertensive, and cholesterol lowering medications and to identify the pharmacies and prescribers who serve these communities.

METHODS:

Administrative claims data was analyzed for members enrolled in a large health plan in Hawaii (2008-2010) with diabetes mellitus who were taking three types of medications 1) oral anti-diabetic medications; 2) anti-hypertensive medications; 3) cholesterol lowering medications (n=5136). The primary outcome was medication adherence based on medication possession ratios. Multivariable logistic regression models were estimated to examine the association between race/ethnicity and region to adherence to each drug class separately, followed by non-adherence to all three. Covariates included age, gender, education level, chronic conditions, copayment level, and number of prescribers and pharmacies from which the patients received their medications. KEY

FINDINGS:

After adjustment for other factors, Filipinos [OR=0.58, 95%CI(0.45,0.74)], Native Hawaiians [OR=0.74, 95%CI(0.56,0.98)], and people of other race [OR=0.67, 95%CI(0.55,0.82)] were significantly less adherent to anti-diabetic and anti-hypertensive medications than Japanese. For cholesterol-lowering medications, all racial and ethnic groups were significantly less adherent than Japanese, except mixed race. We also found that different racial/ethnic groups tended to use different pharmacies and prescribers, particularly in rural areas.

CONCLUSION:

Adherence differed by race/ethnicity as well as age and region. Qualitative research involving subgroups (e.g. Filipinos, Native Hawaiians, people under age 50) is needed to identify how to adapt and enhance the effects of interventions shown to be efficacious in prior studies.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article