Evidence map›Paper›PMID 37383497›Full record

ArticleHealth policy OPEN2021

Explaining regional variations in mother-child health: Additional identified determinants in India and Bangladesh.

Susmita Dasgupta, Subhendu Roy, David Wheeler

Open access · goldAbstract read
In one paragraph

Article in Health policy OPEN, 2021. 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
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Susmita DasguptaThe World Bank, 1818 H Street NW, Washington, DC 20433, USA.
Subhendu RoyWorld Bank, University of Phoenix, 5 Foster Road, Lexington, MA 02421, USA.
David WheelerWorld Resources Institute, 10G Street NE #800, Washington, DC 20002, USA.
World Bank · USWorld Resources Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper explores the sources of spatial variation in child wasting and maternal anemia in three Indian states and six Bangladeshi divisions.  Our initial probability models incorporate traditionally-cited variables from Demographic and Health Surveys such as mother's education, mother's age and household wealth, along with seasonal fluctuations and regional fixed effects. The regional fixed effects are highly significant, even after controlling for the traditionally-cited determinants.  We then re-estimate our models, replacing regional fixed effects with measures of four factors that exhibit spatial clustering in the study area: provision of health services, political instability, religious culture, and flood-proneness.  Our re-estimated models show highly significant effects for all four factors, thereby highlighting potential gains from more effective policy interventions at the regional level.  Mothers and children whose socioeconomic status is identical have much better health outcomes in areas where health services are relatively plentiful, political stability prevails, key protein sources are more plentiful, and water is abundant.  Our results also demonstrate a strong association of mother's health status post-partum with long term health outcomes for children.

Indexed as

BangladeshChild wastingEastern IndiaMaternal anemiaSpatial differences

Identifiers

PMID37383497
PMCPMC10297792
OpenAlexW3164698465

What OpenQuestion holds

Textmetadata
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.