Evidence map›Paper›PMID 40514219›Full record

ArticleBMJ global health2025

Does home-based screening improve hypertension diagnosis, treatment and control? A regression discontinuity analysis in urban India.

Michaela Theilmann, Sneha Sarah Mani, Pascal Geldsetzer, Shivani A Patel, Mohammed K Ali, Harsha Thirumurthy, K M Venkat Narayan, Viswanathan Mohan, Nikhil Tandon, Dorairaj Prabhakaran and 1 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Michaela Theilmann *Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA mjtheilmann@bwh.harvard.edu.ORCID http://orcid.org/0000-0003-3413-232X
Sneha Sarah Mani *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California, USA.
Shivani A PatelEmory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0003-0082-5857
Mohammed K AliEmory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-7266-2503
Harsha ThirumurthyPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
K M Venkat NarayanEmory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-8621-5405
Viswanathan MohanDiabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.ORCID http://orcid.org/0000-0001-5038-6210
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, Delhi, India.ORCID http://orcid.org/0000-0003-4604-1986
Dorairaj PrabhakaranCentre for Chronic Disease Control, New Delhi, India.ORCID http://orcid.org/0000-0002-3172-834X
Nikkil SudharsananTUM School of Medicine and Health, Technical University of Munich, Munich, Germany.

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan, ARSHED A QUYYUMI · 2022 to 2026
$13.4M
NHLBI NIH HHS P01 HL154996
6 · The paper itself

Abstract

As part of India's efforts to expand primary healthcare services, several state governments are implementing or considering home-based hypertension screening programmes to improve population-wide diagnosis and blood pressure (BP) control rates. However, there is limited evidence on the effectiveness of home-based screening programmes in India. Using six waves of population-representative cohort data (N=15574), we estimate the causal effect of a home-based hypertension screening intervention on diagnosis, treatment, and BP using a novel application of the Regression Discontinuity Design. We find that measuring individuals' BP in their homes and providing health information and a referral to those with elevated BP did not meaningfully improve hypertension diagnosis (0.12 percentage points (pp), 95% CI -1.39 to 1.75), treatment (-0.16 pp, 95% CI -2.18 to 1.03), or change in BP (systolic: -0.96mm Hg, 95% CI -5.63 to 1.14; diastolic: 0.21, 95% CI -1.65 to 1.65). Our heterogeneity analyses suggest that home-based screening may reduce systolic BP for women with secondary education and women living in Chennai. However, we find null effects for diagnosis and treatment among these subpopulations and in all outcome variables across the other subpopulations and alternative specifications. Our findings suggest that a lack of knowledge of one's hypertension status might not be the primary reason for low diagnosis and treatment rates in India, where other structural and behavioural barriers may be more relevant. Adapting screening efforts to address these additional barriers will be essential for India's efforts to achieve universal health coverage.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionMass ScreeningAdultAgedFemaleHumansIndiaMaleMiddle AgedRegression AnalysisUrban PopulationCommunity-based surveyHealth policyHypertensionIndia

Identifiers

PMID40514219
PMCPMC12314835

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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 Socratic graph.