Evidence map›Paper›PMID 31084606›Full record

ArticleBMC medicine2019

Variation in health system performance for managing diabetes among states in India: a cross-sectional study of individuals aged 15 to 49 years.

Jonas Prenissl, Lindsay M Jaacks, Viswanathan Mohan, Jennifer Manne-Goehler, Justine I Davies, Ashish Awasthi, Anne Christine Bischops, Rifat Atun, Till Bärnighausen, Sebastian Vollmer and 1 more

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Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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38citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Patients', carers' and healthcare providers' views of patient-held health records in Kerala, India: A qualitative exploratory study.Health expectations : an international journal of public participation in health care and health policy · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Jonas PrenisslHeidelberg Institute of Global Health, Heidelberg University, Im Neuenheimer Feld 130/3, 69120, Heidelberg, Germany. jonas.prenissl@gmail.com.ORCID 0000-0003-4906-5043
Lindsay M JaacksDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Viswanathan MohanMadras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
Jennifer Manne-GoehlerDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Justine I DaviesMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Education Campus, University of Witwatersrand, Johannesburg, Gauteng, South Africa.
Ashish AwasthiIndian Institute of Public Health, Gandhinagar, Gujarat, India.
Anne Christine BischopsHeidelberg Institute of Global Health, Heidelberg University, Im Neuenheimer Feld 130/3, 69120, Heidelberg, Germany.
Rifat AtunDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Till BärnighausenHeidelberg Institute of Global Health, Heidelberg University, Im Neuenheimer Feld 130/3, 69120, Heidelberg, Germany.
Sebastian VollmerDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany.
Pascal GeldsetzerDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding where adults with diabetes in India are lost in the diabetes care cascade is essential for the design of targeted health interventions and to monitor progress in health system performance for managing diabetes over time. This study aimed to determine (i) the proportion of adults with diabetes in India who have reached each step of the care cascade and (ii) the variation of these cascade indicators among states and socio-demographic groups.

methodsWe used data from a population-based household survey carried out in 2015 and 2016 among women and men aged 15-49 years in all states of India. Diabetes was defined as a random blood glucose (RBG) ≥ 200 mg/dL or reporting to have diabetes. The care cascade-constructed among those with diabetes-consisted of the proportion who (i) reported having diabetes ("aware"), (ii) had sought treatment ("treated"), and (iii) had sought treatment and had a RBG < 200 mg/dL ("controlled"). The care cascade was disaggregated by state, rural-urban location, age, sex, household wealth quintile, education, and marital status.

resultsThis analysis included 729,829 participants. Among those with diabetes (19,453 participants), 52.5% (95% CI, 50.6-54.4%) were "aware", 40.5% (95% CI, 38.6-42.3%) "treated", and 24.8% (95% CI, 23.1-26.4%) "controlled". Living in a rural area, male sex, less household wealth, and lower education were associated with worse care cascade indicators. Adults with untreated diabetes constituted the highest percentage of the adult population (irrespective of diabetes status) aged 15 to 49 years in Goa (4.2%; 95% CI, 3.2-5.2%) and Tamil Nadu (3.8%; 95% CI, 3.4-4.1%). The highest absolute number of adults with untreated diabetes lived in Tamil Nadu (1,670,035; 95% CI, 1,519,130-1,812,278) and Uttar Pradesh (1,506,638; 95% CI, 1,419,466-1,589,832).

conclusionsThere are large losses to diabetes care at each step of the care cascade in India, with the greatest loss occurring at the awareness stage. While health system performance for managing diabetes varies greatly among India's states, improvements are particularly needed for rural areas, those with less household wealth and education, and men. Although such improvements will likely have the greatest benefits for population health in Goa and Tamil Nadu, large states with a low diabetes prevalence but a high absolute number of adults with untreated diabetes, such as Uttar Pradesh, should not be neglected.

Indexed as

Quality Assurance, Health CareAdolescentAdultCross-Sectional StudiesDiabetes MellitusFemaleHealth Services AccessibilityHealth Systems PlansHumansIndiaMaleMiddle AgedObserver VariationPrevalenceRural PopulationYoung AdultCare cascadeDiabetesHealth system performanceIndia

Identifiers

PMID31084606
PMCPMC6515628

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.