Literature DB >> 26282954

Medication Adherence Does Not Explain Black-White Differences in Cardiometabolic Risk Factor Control among Insured Patients with Diabetes.

Jennifer Elston Lafata1,2,3, Andrew J Karter4, Patrick J O'Connor5, Heather Morris6, Julie A Schmittdiel4, Scott Ratliff7, Katherine M Newton8, Marsha A Raebel9,10, Ram D Pathak11, Abraham Thomas12, Melissa G Butler13, Kristi Reynolds14, Beth Waitzfelder15, John F Steiner9.   

Abstract

BACKGROUND: Among patients with diabetes, racial differences in cardiometabolic risk factor control are common. The extent to which differences in medication adherence contribute to such disparities is not known. We examined whether medication adherence, controlling for treatment intensification, could explain differences in risk factor control between black and white patients with diabetes.
METHODS: We identified three cohorts of black and white patients treated with oral medications and who had poor risk factor control at baseline (2009): those with glycated hemoglobin (HbA1c) >8 % (n = 37,873), low-density lipoprotein cholesterol (LDL-C) >100 mg/dl (n = 27,954), and systolic blood pressure (SBP) >130 mm Hg (n = 63,641). Subjects included insured adults with diabetes who were receiving care in one of nine U.S. integrated health systems comprising the SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) consortium. Baseline and follow-up risk factor control, sociodemographic, and clinical characteristics were obtained from electronic health records. Pharmacy-dispensing data were used to estimate medication adherence (i.e., medication refill adherence [MRA]) and treatment intensification (i.e., dose increase or addition of new medication class) between baseline and follow-up. County-level income and educational attainment were estimated via geocoding. Logistic regression models were used to test the association between race and follow-up risk factor control. Models were specified with and without medication adherence to evaluate its role as a mediator.
RESULTS: We observed poorer medication adherence among black patients than white patients (p < 0.01): 50.6 % of blacks versus 39.7 % of whites were not highly adherent (i.e., MRA <80 %) to HbA1c oral medication(s); 58.4 % of blacks and 46.7 % of whites were not highly adherent to lipid medication(s); and 33.4 % of blacks and 23.7 % of whites were not highly adherent to BP medication(s). Across all cardiometabolic risk factors, blacks were significantly less likely to achieve control (p < 0.01): 41.5 % of blacks and 45.8 % of whites achieved HbA1c <8 %; 52.6 % of blacks and 60.8 % of whites achieved LDL-C <100; and 45.7 % of blacks and 53.6 % of whites achieved SBP <130. Adjusting for medication adherence/treatment intensification did not alter these patterns or model fit statistics.
CONCLUSIONS: Medication adherence failed to explain observed racial differences in the achievement of HbA1c, LDL-C, and SBP control among insured patients with diabetes.

Entities:  

Keywords:  cardiometabolic risk factors; diabetes care; medication adherence; racial disparities

Mesh:

Substances:

Year:  2016        PMID: 26282954      PMCID: PMC4720651          DOI: 10.1007/s11606-015-3486-0

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  55 in total

1.  Racial differences in blood pressure control: potential explanatory factors.

Authors:  Hayden B Bosworth; Tara Dudley; Maren K Olsen; Corrine I Voils; Benjamin Powers; Mary K Goldstein; Eugene Z Oddone
Journal:  Am J Med       Date:  2006-01       Impact factor: 4.965

2.  Standards of medical care in diabetes--2008.

Authors: 
Journal:  Diabetes Care       Date:  2008-01       Impact factor: 19.112

3.  New prescription medication gaps: a comprehensive measure of adherence to new prescriptions.

Authors:  Andrew J Karter; Melissa M Parker; Howard H Moffet; Ameena T Ahmed; Julie A Schmittdiel; Joe V Selby
Journal:  Health Serv Res       Date:  2009-06-03       Impact factor: 3.402

Review 4.  Disparities in HbA1c levels between African-American and non-Hispanic white adults with diabetes: a meta-analysis.

Authors:  Julienne K Kirk; Ralph B D'Agostino; Ronny A Bell; Leah V Passmore; Denise E Bonds; Andrew J Karter; K M Venkat Narayan
Journal:  Diabetes Care       Date:  2006-09       Impact factor: 19.112

5.  Quality of diabetes care in U.S. academic medical centers: low rates of medical regimen change.

Authors:  Richard W Grant; John B Buse; James B Meigs
Journal:  Diabetes Care       Date:  2005-02       Impact factor: 19.112

Review 6.  Barriers to and determinants of medication adherence in hypertension management: perspective of the cohort study of medication adherence among older adults.

Authors:  Marie A Krousel-Wood; Paul Muntner; Tareq Islam; Donald E Morisky; Larry S Webber
Journal:  Med Clin North Am       Date:  2009-05       Impact factor: 5.456

7.  Racial disparities in diabetes care processes, outcomes, and treatment intensity.

Authors:  Michele Heisler; Dylan M Smith; Rodney A Hayward; Sarah L Krein; Eve A Kerr
Journal:  Med Care       Date:  2003-11       Impact factor: 2.983

Review 8.  Medication adherence: its importance in cardiovascular outcomes.

Authors:  P Michael Ho; Chris L Bryson; John S Rumsfeld
Journal:  Circulation       Date:  2009-06-16       Impact factor: 29.690

9.  Construction of a multisite DataLink using electronic health records for the identification, surveillance, prevention, and management of diabetes mellitus: the SUPREME-DM project.

Authors:  Gregory A Nichols; Jay Desai; Jennifer Elston Lafata; Jean M Lawrence; Patrick J O'Connor; Ram D Pathak; Marsha A Raebel; Robert J Reid; Joseph V Selby; Barbara G Silverman; John F Steiner; W F Stewart; Suma Vupputuri; Beth Waitzfelder
Journal:  Prev Chronic Dis       Date:  2012-06-07       Impact factor: 2.830

10.  Factors associated with intensification of oral diabetes medications in primary care provider-patient dyads: a cohort study.

Authors:  Shari Danielle Bolen; Eric Bricker; T Alafia Samuels; Hsin-Chieh Yeh; Spyridon S Marinopoulos; Maura McGuire; Marcela Abuid; Frederick L Brancati
Journal:  Diabetes Care       Date:  2008-10-17       Impact factor: 19.112

View more
  7 in total

1.  Capsule Commentary on Lafata et al., Medication Adherence Does Not Explain Black-White Differences in Cardiometabolic Risk Factor Control among Insured Patients with Diabetes.

Authors:  Ana M Palacio
Journal:  J Gen Intern Med       Date:  2016-02       Impact factor: 5.128

2.  Technology-Enabled Outreach to Patients Taking High-Risk Medications Reduces a Quality Gap in Completion of Clinical Laboratory Testing.

Authors:  Marsha A Raebel; Susan M Shetterly; Bharati Bhardwaja; Andrew T Sterrett; Emily B Schroeder; Joseph Chorny; Tyson P Hagen; David J Silverman; Rex Astles; Ira M Lubin
Journal:  Popul Health Manag       Date:  2019-05-20       Impact factor: 2.459

3.  Identifying Preanalytic and Postanalytic Laboratory Quality Gaps Using a Data Warehouse and Structured Multidisciplinary Process.

Authors:  Marsha A Raebel; LeeAnn M Quintana; Emily B Schroeder; Susan M Shetterly; Lisa E Pieper; Paul L Epner; Laura K Bechtel; David H Smith; Andrew T Sterrett; Joseph A Chorny; Ira M Lubin
Journal:  Arch Pathol Lab Med       Date:  2018-12-10       Impact factor: 5.534

4.  Intersectional Discrimination and Change in Blood Pressure Control Among Older Adults: The Health and Retirement Study.

Authors:  Kendra D Sims; Ellen Smit; G David Batty; Perry W Hystad; Michelle C Odden
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-02-03       Impact factor: 6.591

5.  2016 Writing Contest Undergraduate Winner: The Relationship Between Medication Adherence and Total Healthcare Expenditures by Race/Ethnicity in Patients with Diabetes in Hawai'i.

Authors:  Cori X Sutton; Dee-Ann Carpenter; Wesley Sumida; Deborah Taira
Journal:  Hawaii J Med Public Health       Date:  2017-07

Review 6.  Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review.

Authors:  Elizabeth Golembiewski; Katie S Allen; Amber M Blackmon; Rachel J Hinrichs; Joshua R Vest
Journal:  JMIR Public Health Surveill       Date:  2019-10-07

7.  Study protocol for investigating physician communication behaviours that link physician implicit racial bias and patient outcomes in Black patients with type 2 diabetes using an exploratory sequential mixed methods design.

Authors:  Nao Hagiwara; Briana Mezuk; Jennifer Elston Lafata; Scott R Vrana; Michael D Fetters
Journal:  BMJ Open       Date:  2018-10-18       Impact factor: 2.692

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.