Literature DB >> 33930437

Race and gender differences in abnormal blood glucose screening and clinician response to prediabetes: A mixed-methods assessment.

Tainayah W Thomas1, Carol Golin2, Carmen D Samuel-Hodge3, M Sue Kirkman4, Shelley D Golden5, Alexandra F Lightfoot6.   

Abstract

The projected three-fold increase in diabetes burden by 2060 in the United States will affect certain race and gender groups disproportionately. The objective of this mixed-methods study was to assess differences in prediabetes screening and clinician response to prediabetes by patient race and gender. We utilized data from 18,742 patients seen between 11/1/15 and 4/30/17 who met criteria for blood glucose screening by the 2015 US Preventive Service Task Force recommendation and had at least one visit to a primary care practice within a large, academic health system located in North Carolina. We utilized generalized estimating equations with logistic regression to assess race and gender differences in two outcomes: prediabetes screening and clinician response to prediabetes. We conducted twenty in-depth interviews (October 2018-May 2019) with physicians to assess their approach to screening for and treating prediabetes. Black patients had 11% higher odds (95% CI:1.02-1.20) of being screened for prediabetes than White patients. Men had 19% higher odds (95% CI:1.09-1.30) of being screened for prediabetes than women. There were no significant differences in clinician response to prediabetes by patient race or gender. Qualitatively, physicians reported a non-systematic approach to prediabetes screening and follow-up care related to: 1) System-level barriers to screening and treatment; 2) Implicit bias; 3) Patient factors; and 4) Physician preferences for prediabetes treatment. Targeted risk-based screening for prediabetes along with increased treatment for prediabetes are critical for preventing diabetes and reducing diabetes-related disparities.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Diabetes prevention; Health disparities; Prediabetes

Mesh:

Substances:

Year:  2021        PMID: 33930437      PMCID: PMC8300953          DOI: 10.1016/j.ypmed.2021.106587

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.637


  26 in total

1.  Screening for Abnormal Blood Glucose and Type 2 Diabetes Mellitus: U.S. Preventive Services Task Force Recommendation Statement.

Authors:  Albert L Siu
Journal:  Ann Intern Med       Date:  2015-10-27       Impact factor: 25.391

2.  Three approaches to qualitative content analysis.

Authors:  Hsiu-Fang Hsieh; Sarah E Shannon
Journal:  Qual Health Res       Date:  2005-11

3.  Integration of targeted health interventions into health systems: a conceptual framework for analysis.

Authors:  Rifat Atun; Thyra de Jongh; Federica Secci; Kelechi Ohiri; Olusoji Adeyi
Journal:  Health Policy Plan       Date:  2009-11-16       Impact factor: 3.344

Review 4.  Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review.

Authors:  William J Hall; Mimi V Chapman; Kent M Lee; Yesenia M Merino; Tainayah W Thomas; B Keith Payne; Eugenia Eng; Steven H Day; Tamera Coyne-Beasley
Journal:  Am J Public Health       Date:  2015-10-15       Impact factor: 9.308

5.  The awareness-to-adherence model of the steps to clinical guideline compliance. The case of pediatric vaccine recommendations.

Authors:  D E Pathman; T R Konrad; G L Freed; V A Freeman; G G Koch
Journal:  Med Care       Date:  1996-09       Impact factor: 2.983

Review 6.  Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities.

Authors:  Elizabeth N Chapman; Anna Kaatz; Molly Carnes
Journal:  J Gen Intern Med       Date:  2013-04-11       Impact factor: 5.128

Review 7.  Implicit bias in healthcare professionals: a systematic review.

Authors:  Chloë FitzGerald; Samia Hurst
Journal:  BMC Med Ethics       Date:  2017-03-01       Impact factor: 2.652

8.  The Economic Burden of Elevated Blood Glucose Levels in 2017: Diagnosed and Undiagnosed Diabetes, Gestational Diabetes Mellitus, and Prediabetes.

Authors:  Timothy M Dall; Wenya Yang; Karin Gillespie; Michelle Mocarski; Erin Byrne; Inna Cintina; Kaleigh Beronja; April P Semilla; William Iacobucci; Paul F Hogan
Journal:  Diabetes Care       Date:  2019-04-02       Impact factor: 19.112

9.  How to Construct a Mixed Methods Research Design.

Authors:  Judith Schoonenboom; R Burke Johnson
Journal:  Kolner Z Soz Sozpsychol       Date:  2017-07-05

10.  Standards of Medical Care in Diabetes-2020 Abridged for Primary Care Providers.

Authors: 
Journal:  Clin Diabetes       Date:  2020-01
View more
  1 in total

1.  Continuous glucose monitoring metrics for earlier identification of pre-diabetes: protocol for a systematic review and meta-analysis.

Authors:  Sara Gottfried; Laura Pontiggia; Andrew Newberg; Gregory Laynor; Daniel Monti
Journal:  BMJ Open       Date:  2022-08-25       Impact factor: 3.006

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.