Evidence map›Paper›PMID 37118765›Full record

ArticleBMC public health2023

What is the impact of national public expenditure and its allocation on neonatal and child mortality? A machine learning analysis.

Leandro Pereira Garcia, Ione Jayce Ceola Schneider, Cesar de Oliveira, Eliane Traebert, Jefferson Traebert

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Machine Learning Algorithms to Estimate Propensity Scores in Health Policy Evaluation: A Scoping Review.International journal of environmental research and public health · 2024
    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

5 authors.

Leandro Pereira GarciaGraduate Program in Health Sciences, Universidade do Sul de Santa Catarina, Avenida Pedra Branca, 25, Palhoça, Santa Catarina, 88132-260, Brazil.
Ione Jayce Ceola SchneiderGraduate Program in Rehabilitation Science, Public Health and Neuroscience, Universidade Federal de Santa Catarina, Rodovia Governador Jorge Lacerda, 3201, Araranguá, SC, 88906-072, Brazil.
Cesar de OliveiraDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK.
Eliane TraebertGraduate Program in Health Sciences, Universidade do Sul de Santa Catarina, Avenida Pedra Branca, 25, Palhoça, Santa Catarina, 88132-260, Brazil.
Jefferson TraebertGraduate Program in Health Sciences, Universidade do Sul de Santa Catarina, Avenida Pedra Branca, 25, Palhoça, Santa Catarina, 88132-260, Brazil. jefferson.traebert@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the impact of national public expenditure and its allocation on child mortality may help governments move towards target 3.2 proposed in the 2030 Agenda. The objective of this study was to estimate the impacts of governmental expenditures, total, on health, and on other sectors, on neonatal mortality and mortality of children aged between 28 days and five years.

methodsThis study has an ecological design with a population of 147 countries, with data between 2012 and 2019. Two steps were used: first, the Generalized Propensity Score of public spending was calculated; afterward, the Generalized Propensity Score was used to estimate the expenditures' association with mortality rates. The primary outcomes were neonatal mortality rates (NeoRt) and mortality rates in children between 28 days and 5 years (NeoU5Rt).

resultsThe 1% variation in Int$ Purchasing Power Parity (Int$ PPP) per capita in total public expenditures, expenditure in health, and in other sectors were associated with a variation of -0.635 (95% CI -1.176, -0.095), -2.17 (95% CI -3.051, -1.289) -0.632 (95% CI -1.169, -0.095) in NeoRt, respectively The same variation in public expenditures in sectors other than health, was associates with a variation of -1.772 (95% CI -6.219, -1.459) on NeoU5Rt. The results regarding the impact of total and health public spending on NeoU5Rt were not consistent.

conclusionPublic investments impact mortality in children under 5 years of age. Likely, the allocation of expenditures between the health sector and the other social sectors will have different impacts on mortality between the NeoRt and the NeoU5Rt.

Indexed as

Child MortalityHealth ExpendituresChildChild, PreschoolHumansInfant MortalityInfant, NewbornMachine LearningPublic ExpendituresChild mortalityCost allocationMachine learningNeonatal mortalityPublic expenditures

Identifiers

PMID37118765
PMCPMC10141942

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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 OpenQuestion graph.