Evidence map›Paper›PMID 33715264›Full record

ArticleTropical medicine & international health : TM & IH2021

TB notification rates across parliamentary constituencies in India: a step towards data-driven political engagement.

Geeta Pardeshi, Weiyu Wang, Julie Kim, Jeffrey Blossom, Rockli Kim, S V Subramanian

Open access · hybridAbstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 10 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

6 authors at 5 institutions in 4 countries.

Geeta PardeshiDepartment of Community Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Weiyu WangHarvard Center for Population and Development Studies, Cambridge, MA, USA.
Julie KimHarvard Center for Population and Development Studies, Cambridge, MA, USA.
Jeffrey BlossomCenter for Geographic Analysis, Harvard University, Cambridge, MA, USA.
Rockli KimDivision of Health Policy & Management, College of Health Science, Korea University, Seoul, South Korea.
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, MA, USA.
Harvard University Press · USCenter for Policy Analysis · USDepartment of Public · INHarvard Global Health Institute · USHarvard University · US

Funding

Bill & Melinda Gates Foundation INV-002992
6 · The paper itself

Abstract

objectiveNational averages obscure geographic variation in program performance. We determined Parliamentary Constituency (PC)-wise estimates of TB notification to guide political engagement.

methodsWe extracted district-level TB notification data from the 2018 annual TB report. We derived PC-level estimates by building a 'cross-walk' between districts and PCs using boundary shapefiles. We described the spatial distribution of the PC-wise estimates of Total Notification Rate and percentage of Private Sector Notification.

resultsThe median PC-wise Total Notification Rate was 126.24/100 000 (IQR: 94.86/100 000, 162.22/100 000). The median PC-wise Percentage Private Sector Notification was 18.03% (IQR: 9.56%, 26.84%). Only 16 (2.94%) PCs met the target of 50% private sector notification. Most of high notification rates in PCs were driven by high notification in public sector. There was geographic - both interstate and within state inter-PC - variation in the estimates of these indicators. The study identified some geographic patterns of notification - high positive outlier PCs with adjoining PCs in lower deciles of notification rates, intra-state differences in PC performance, and similarities in notification rates of adjoining PCs in different states.

conclusionIn addition to regional inequality, the study identified geospatial patterns that can aid in the formulation of suitable interventions. These include decongestion of overburdened facilities by strengthening poorly performing units. The PCs with a high percentage Private Sector Notification can act as role models for neighbouring PCs to improve private sector engagement. MPs can play a crucial role in mobilising additional resources, creating awareness, and establishing inter-PC and inter-state collaboration to improve TB program performance.

Indexed as

Disease NotificationHumansIndiaPoliticsTuberculosisGeographic Information System (GIS) mappingpolitical commitmentregional variationTB elimination

Identifiers

PMID33715264
PMCPMC8360195
OpenAlexW3139187260

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.