Trends in Receipt of American Diabetes Association Guideline-Recommended Care Among U.S. Adults With Diabetes: NHANES 2005-2018.


Journal

Diabetes care
ISSN: 1935-5548
Titre abrégé: Diabetes Care
Pays: United States
ID NLM: 7805975

Informations de publication

Date de publication:
06 2021
Historique:
received: 14 10 2020
accepted: 24 02 2021
pubmed: 18 4 2021
medline: 12 11 2021
entrez: 17 4 2021
Statut: ppublish

Résumé

To characterize national trends and characteristics of adults with diabetes receiving American Diabetes Association (ADA) guideline-recommended care. We performed serial cross-sectional analyses of 4,069 adults aged ≥20 years with diabetes who participated in the 2005-2018 National Health and Nutrition Examination Survey (NHANES). Overall, the proportion of U.S. adults with diabetes receiving ADA guideline-recommended care meeting all five criteria by self-report in the past year (having a primary doctor for diabetes and one or more visits for this doctor, HbA Receipt of ADA guideline-recommended care increased only among adults with diabetes aged ≥65 years in the past decade. In 2017-2018, only one of three U.S. adults with diabetes reported receiving ADA guideline-recommended care, with even a lower receipt of care among those <65 years of age. Efforts are needed to improve health care delivery and equity in diabetes care. Insurance status is an important modifiable determinant of receiving ADA guideline-recommended care.

Identifiants

pubmed: 33863753
pii: dc20-2541
doi: 10.2337/dc20-2541
pmc: PMC8247496
doi:

Banques de données

figshare
['10.2337/figshare.14120087']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1300-1308

Subventions

Organisme : NIDDK NIH HHS
ID : K01 DK121825
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK115534
Pays : United States

Informations de copyright

© 2021 by the American Diabetes Association.

Auteurs

Jung-Im Shin (JI)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD jshin19@jhmi.edu.

Dan Wang (D)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Gail Fernandes (G)

Merck & Co., Inc., Kenilworth, NJ.

Natalie Daya (N)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Morgan E Grams (ME)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.

Sherita H Golden (SH)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.

Swapnil Rajpathak (S)

Merck & Co., Inc., Kenilworth, NJ.

Elizabeth Selvin (E)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.

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Classifications MeSH