Literature DB >> 34535514

Associations of Race, Insurance, and Zip Code-Level Income with Nonadherence Diagnoses in Primary and Specialty Diabetes Care.

Sourik Beltrán1, Daniel J Arenas2, Itzel J López-Hinojosa2, Elizabeth L Tung2, Peter F Cronholm2.   

Abstract

INTRODUCTION: Evidence suggests that clinicians may view or label patients as nonadherent in a biased manner. Therefore, we performed a retrospective cohort analysis exploring associations between patient demographics and zip code-level income with the International Classification of Diseases, Tenth Version (ICD-10) diagnoses for nonadherence among type 2 diabetes mellitus (T2DM) patients, comparing primary and specialty care settings. Providers in the primary care group included internal medicine and family medicine physicians. In the specialty care group, providers included endocrinologists and diabetologists only.
METHODS: Participants were identified from 5 primary care and 4 endocrinology sites in the University of Pennsylvania Health System between January 1, 2015, and January 1, 2019. Demographics, hemoglobin A1c (HbA1c), and ICD-10 codes for T2DM and nonadherence were extracted from the electronic health record and analyzed in October 2019. Log-binomial regression models were used to estimate patients' risk of nonadherence labeling by race, insurance, and zip code-level median household income, controlling for patient characteristics and HbA1c as a proxy for diabetes self-management. Results were compared between primary and specialty care sites.
RESULTS: A total of 6072 patients aged 18-70 years were included in this study. Black race, Medicare, and Medicaid were associated with increased nonadherence labeling while controlling for patient characteristics ([ARR = 2.48, 95% CI: 2.01, 3.04], [ARR = 1.82, 95% CI: 1.50, 2.18], [ARR = 1.61, 95% CI: 1.32, 1.93], respectively). The results remained significant on adjustment with zip code-level income and showed no differences between primary and specialty sites. Lower-income zip codes showed a significant association with increased rates of nonadherence labeling.
CONCLUSIONS: Black race, non-private insurance, and lower-income zip codes were associated with disproportionately high rates of nonadherence labeling in both primary and specialty management of T2DM, possibly suggestive of racial or class bias. © Copyright 2021 by the American Board of Family Medicine.

Entities:  

Keywords:  Bias; HbA1c; Nonadherence; Patient Compliance; Patient Labeling; Poverty; Primary Health Care; Race; Retrospective Studies; Socioeconomic Status; Type 2 Diabetes Mellitus

Mesh:

Substances:

Year:  2021        PMID: 34535514      PMCID: PMC9196950          DOI: 10.3122/jabfm.2021.05.200639

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.395


  24 in total

1.  Subgroup analyses in randomized trials: risks of subgroup-specific analyses; power and sample size for the interaction test.

Authors:  Sara T Brookes; Elise Whitely; Matthias Egger; George Davey Smith; Paul A Mulheran; Tim J Peters
Journal:  J Clin Epidemiol       Date:  2004-03       Impact factor: 6.437

2.  Nonadherence Labeling in Primary Care: Bias by Race and Insurance Type for Adults With Type 2 Diabetes.

Authors:  Sourik Beltrán; Lanair A Lett; Peter F Cronholm
Journal:  Am J Prev Med       Date:  2019-09-26       Impact factor: 5.043

3.  Unconscious race and social class bias among acute care surgical clinicians and clinical treatment decisions.

Authors:  Adil H Haider; Eric B Schneider; N Sriram; Deborah S Dossick; Valerie K Scott; Sandra M Swoboda; Lia Losonczy; Elliott R Haut; David T Efron; Peter J Pronovost; Pamela A Lipsett; Edward E Cornwell; Ellen J MacKenzie; Lisa A Cooper; Julie A Freischlag
Journal:  JAMA Surg       Date:  2015-05       Impact factor: 14.766

4.  Adherence communication: a qualitative analysis of physician-patient dialogue.

Authors:  K J Roberts; P Volberding
Journal:  AIDS       Date:  1999-09-10       Impact factor: 4.177

5.  Medical decision making and perceived socioeconomic class.

Authors:  G E Kikano; M A Schiaffino; S J Zyzanski
Journal:  Arch Fam Med       Date:  1996-05

6.  Disparity in physician perception of patients' adherence to medications by obesity status.

Authors:  Mary Margaret Huizinga; Sara N Bleich; Mary Catherine Beach; Jeanne M Clark; Lisa A Cooper
Journal:  Obesity (Silver Spring)       Date:  2010-02-25       Impact factor: 5.002

7.  Health disparities and health equity: the issue is justice.

Authors:  Paula A Braveman; Shiriki Kumanyika; Jonathan Fielding; Thomas Laveist; Luisa N Borrell; Ron Manderscheid; Adewale Troutman
Journal:  Am J Public Health       Date:  2011-05-06       Impact factor: 9.308

8.  Comparison of Physician Implicit Racial Bias Toward Adults Versus Children.

Authors:  Tiffani J Johnson; Daniel G Winger; Robert W Hickey; Galen E Switzer; Elizabeth Miller; Margaret B Nguyen; Richard A Saladino; Leslie R M Hausmann
Journal:  Acad Pediatr       Date:  2016-09-13       Impact factor: 3.107

9.  Disparities in HIV treatment and physician attitudes about delaying protease inhibitors for nonadherent patients.

Authors:  Mitchell D Wong; William E Cunningham; Martin F Shapiro; Ronald M Andersen; Paul D Cleary; Naihua Duan; Hong Hu Liu; Ira B Wilson; Bruce E Landon; Neil S Wenger
Journal:  J Gen Intern Med       Date:  2004-04       Impact factor: 5.128

10.  GPs' perspectives of type 2 diabetes patients' adherence to treatment: A qualitative analysis of barriers and solutions.

Authors:  Johan Wens; Etienne Vermeire; Paul Van Royen; Bernard Sabbe; Joke Denekens
Journal:  BMC Fam Pract       Date:  2005-05-12       Impact factor: 2.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.