National Estimates of the Adult Diabetes Care Continuum in India, 2019-2021.


Journal

JAMA internal medicine
ISSN: 2168-6114
Titre abrégé: JAMA Intern Med
Pays: United States
ID NLM: 101589534

Informations de publication

Date de publication:
31 Jul 2023
Historique:
pmc-release: 31 07 2024
medline: 31 7 2023
pubmed: 31 7 2023
entrez: 31 7 2023
Statut: aheadofprint

Résumé

Diabetes is widespread and treatable, but little is known about the diabetes care continuum (diagnosis, treatment, and control) in India and how it varies at the national, state, and district levels. To estimate the adult population levels of diabetes diagnosis, treatment, and control in India at national, state, and district levels and by sociodemographic characteristics. In this cross-sectional, nationally representative survey study from 2019 to 2021, adults in India from 28 states, 8 union territories, and 707 districts were surveyed for India's Fifth National Family Health Survey (NFHS-5). The survey team collected data on blood glucose among all adults (18-98 years) who were living in the same household as eligible participants (pregnant or nonpregnant female individuals aged 15-49 years and male individuals aged 15-54 years). The overall sample consisted of 1 895 287 adults. The analytic sample was restricted to those who either self-reported having diabetes or who had a valid measurement of blood glucose. The exposures in this survey study were district and state residence; urban vs rural residence; age (18-39 years, 40-64 years, or ≥65 years); sex; and household wealth quintile. Diabetes was defined by self-report or high capillary blood glucose (fasting: ≥126 mg/dL [to convert to mmol/L, multiply by 0.0555]; nonfasting: ≥220 mg/dL). Among respondents who had previously been diagnosed with diabetes, the main outcome was the proportion treated based on self-reported medication use and the proportion controlled (fasting: blood glucose <126 mg/dL; nonfasting: ≤180 mg/dL). The findings were benchmarked against the World Health Organization (WHO) Global Diabetes Compact targets (80% diagnosis; 80% control among those diagnosed). The variance in indicators between and within states was partitioned using variance partition coefficients (VPCs). Among 1 651 176 adult respondents (mean [SD] age, 41.6 [16.4] years; 867 896 [52.6%] female) with blood glucose measures, the proportion of individuals with diabetes was 6.5% (95% CI, 6.4%-6.6%). Among adults with diabetes, 74.2% (95% CI, 73.3%-75.0%) were diagnosed. Among those diagnosed, 59.4% (95% CI, 58.1%-60.6%) reported taking medication, and 65.5% (95% CI, 64.5%-66.4%) achieved control. Diagnosis and treatment were higher in urban areas, older age groups, and wealthier households. Among those diagnosed in the 707 districts surveyed, 246 (34.8%) districts met the WHO diagnosis target, while 76 (10.7%) districts met the WHO control target. Most of the variability in diabetes diagnosis (VPC, 89.1%), treatment (VPC, 85.9%), and control (VPC, 95.6%) were within states, not between states. In this survey study, the diabetes care continuum in India is represented by considerable district-level variation, age-related disparities, and rural-urban differences. Surveillance at the district level can guide state health administrators to prioritize interventions and monitor achievement of global targets.

Identifiants

pubmed: 37523192
pii: 2807945
doi: 10.1001/jamainternmed.2023.3070
pmc: PMC10391358
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Jithin Sam Varghese (JS)

Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia.
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.

Ranjit Mohan Anjana (RM)

Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.

Pascal Geldsetzer (P)

Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California.
Chan Zuckerberg Biohub-San Francisco, San Francisco, California.

Nikkil Sudharsanan (N)

Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany.
Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.

Jennifer Manne-Goehler (J)

Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Harsha Thirumurthy (H)

Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Soura Bhattacharyya (S)

Lattice Innovations, New Delhi, India.

K M Venkat Narayan (KMV)

Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia.
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.

Viswanathan Mohan (V)

Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.

Nikhil Tandon (N)

Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.

Mohammed K Ali (MK)

Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia.
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia.

Classifications MeSH