Evidence map›Paper›PMID 35997640›Full record

ArticleHealth economics2022

Decomposing inequality of opportunity in child health in Tanzania: The role of access to water and sanitation.

Mkupete Jaah Mkupete, Dieter Von Fintel, Ronelle Burger

Open access · hybridAbstract read
In one paragraph

Article in Health economics, 2022. 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
1.6field-weighted citation impact, top 19% 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, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 2 countries.

Mkupete Jaah MkupeteUniversity of Dar es Salaam, Dar es Salaam, Tanzania.ORCID 0000-0001-6920-8748
Dieter Von FintelStellenbosch University, Stellenbosch, South Africa.ORCID 0000-0001-6771-1315
Ronelle BurgerStellenbosch University, Stellenbosch, South Africa.ORCID 0000-0003-2463-5265
Stellenbosch University · ZAUniversity of Dar es Salaam · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor child nutrition is a major public health challenge in Tanzania. Large between and within regional nutritional inequalities exist in rural and urban areas. We looked at how locational circumstances hinder children from having an equal opportunity for good nutrition. We used the 2008/09 Living Standards Measurement Study data for Tanzania to identify the part played by water and sanitation in rural and urban inequality of opportunity in child nutrition. We used the dissimilarity index and the Shapley decomposition technique to quantify and decompose inequality of opportunity in nutrition. We find that 16% of the circumstance-driven inequality of opportunity needs to be redistributed for equality of opportunity to prevail. We find that in rural areas, about 42% of the inequality of opportunity in nutrition is due to water and sanitation problems and 22% to child age. In urban areas, we find that the inequality of opportunity is related mainly to the child's sex, price fluctuations and intergenerational factors. The findings suggest that policies to improve water and sanitation coverage could help equalize opportunities for children in rural areas. In urban areas, policies that could help equalize opportunities require incentives to change social norms and behavior around feeding practices and vaccination.

Indexed as

Child HealthSanitationChildHumansRural PopulationSocioeconomic FactorsTanzaniaWaterWaterchild nutrition statusinequality of opportunitymaize pricesTanzaniawater and sanitation

Identifiers

PMID35997640
PMCPMC9805148
OpenAlexW4292722433

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.