Evidence map›Paper›PMID 35174048›Full record

ArticleGlobal heart2022

Health System Performance for Multimorbid Cardiometabolic Disease in India: A Population-Based Cross-Sectional Study.

Pascal Geldsetzer, Jan-Walter De Neve, Viswanathan Mohan, Dorairaj Prabhakaran, Ambuj Roy, Nikhil Tandon, Justine I Davies, Sebastian Vollmer, Till Bärnighausen, Jonas Prenissl

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 6 countries.

Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, US.ORCID 0000-0002-8878-5505
Jan-Walter De NeveHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, DE.ORCID 0000-0003-0090-8249
Viswanathan MohanMadras Diabetes Research Foundation, ICMR Center for Advanced Research on Diabetes and Dr. Mohan's Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes Care, Chennai, Tamil Nadu, IN.ORCID 0000-0001-5038-6210
Dorairaj PrabhakaranPublic Health Foundation of India, New Delhi, Delhi NCR, IN.ORCID 0000-0002-3172-834X
Ambuj RoyDepartment of Cardiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, IN.ORCID 0000-0001-6418-4388
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, IN.ORCID 0000-0003-4604-1986
Justine I DaviesInstitute for Applied Health Research, Birmingham University, Birmingham, UK.ORCID 0000-0001-6834-1838
Sebastian VollmerDepartment of Economics & Centre for Modern Indian Studies, University of Goettingen, Göttingen, DE.ORCID 0000-0002-7863-0462
Till BärnighausenHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, DE.ORCID 0000-0002-4182-4212
Jonas PrenisslHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, DE.ORCID 0000-0003-4906-5043
All India Institute of Medical Sciences · INUniversity Hospital Heidelberg · DEDr. Mohan's Diabetes Specialities Centre · INHeidelberg (Poland) · PLPublic Health Foundation of India · INStanford University · USStellenbosch University · ZAUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of multimorbidity in low- and middle-income countries (LMICs) is thought to be rising rapidly. Research on the state of healthcare for multimorbidity in LMICs is needed to provide an impetus for integration of care across conditions, a baseline to monitor progress, and information for targeting of interventions to those most in need. Focusing on multimorbid cardiometabolic disease in India, this study thus aimed to determine 1) the proportion of adults with co-morbid diabetes and hypertension who successfully completed each step of the chronic disease care continuum from diagnosis to control for both conditions, and 2) how having additional cardiovascular disease (CVD) risk factors is associated with health system performance along the care continuum for diabetes, hypertension, and co-morbid diabetes and hypertension. Methods: Using a nationally representative household survey carried out in 2015 and 2016 among women aged 15-49 years and men aged 15-54 years, we created a 'cascade of care' for diabetes, hypertension, and co-morbid diabetes and hypertension by determining the proportion of those with the condition who had been diagnosed, were on treatment, and achieved control. We used Poisson regression with a robust error structure to estimate how having additional cardiovascular disease (CVD) risk factors (diabetes, hypertension, current smoking, and obesity) was associated with reaching each cascade step for diabetes, hypertension, and co-morbid diabetes and hypertension. Findings: Seven hundred thirty-four thousand seven hundred ninety-four adults were included in the analysis. Among individuals with co-morbid diabetes and hypertension, 28·8% (95% CI, 26·7%-31·0%), 16·1% (95% CI, 14·4%-17·9%), and 3·7% (95% CI, 2·8%-4·9%) - with these proportions varying between states by a factor of 4·8, 7·9, and 56·8 - were aware, treated, and achieved control of both conditions, respectively. Men, adults with lower household wealth, and those living in rural areas were less likely to reach each cascade step. Having additional CVD risk factors generally did not increase the probability of reaching each cascade step for diabetes, hypertension, and co-morbid diabetes and hypertension, except that having concurrent diabetes increased the probability of successfully transitioning through the hypertension care cascade. Interpretation: While varying widely between states and population groups, health system performance for co-morbid diabetes and hypertension is generally low in India, and there appears to be little integration of care across CVD risk factors. Funding: European Research Council.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHypertensionAdolescentAdultCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedMultimorbidityPrevalenceRisk FactorsYoung Adultcardiometabolic diseaseshealth system performanceIndiamultimorbidity

Identifiers

PMID35174048
PMCPMC8815445
OpenAlexW4210719917

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.