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Health expenditure, child and maternal mortality nexus: a comparative global analysis

Overview of attention for article published in BMC Public Health, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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Citations

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32 Dimensions

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Title
Health expenditure, child and maternal mortality nexus: a comparative global analysis
Published in
BMC Public Health, July 2018
DOI 10.1186/s12914-018-0167-1
Pubmed ID
Authors

Rezwanul Hasan Rana, Khorshed Alam, Jeff Gow

Abstract

This paper provides empirical evidence on how the relationship between health expenditure and health outcomes varies across countries at different income levels. Heterogeneity and cross-section dependence were controlled for in the panel data which consist of 161 countries over the period 1995-2014. Infant, under-five and maternal mortality along with life expectancy at birth were selected as health outcome measures. Cross-sectional augmented IPS unit root, panel autoregressive distributed lag, Dumitrescu-Hurlin and Toda-Yamamoto approach to Granger causality tests were used to investigate the relationship across four income groups. An impulse response function modelled the impact on health outcomes of negative shocks to health expenditure. The results indicate that the health expenditure and health outcome link is stronger for low-income compared to high-income countries. Moreover, rising health expenditure can reduce child mortality but has an insignificant relationship with maternal mortality at all income levels. Lower-income countries are more at risk of adverse impact on health because of negative shocks to health expenditure. Variations in child mortality are better explained by rising health expenditure than maternal mortality. However, the estimated results showed dissimilarity when different assumptions and methods were used. The influence of health expenditure on health outcome varies significantly across different income levels except for maternal health. Policymakers should recognize that increasing spending has a minute potential to improve maternal health. Lastly, the results vary significantly due to income level, choice of assumptions (homogeneity, cross-section independence) and estimation techniques used. Therefore, findings of the cross-country panel studies should be interpreted with cautions.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Student > Bachelor 15 14%
Other 6 6%
Student > Doctoral Student 6 6%
Student > Postgraduate 6 6%
Other 20 19%
Unknown 33 32%
Readers by discipline Count As %
Economics, Econometrics and Finance 24 23%
Medicine and Dentistry 12 12%
Nursing and Health Professions 10 10%
Business, Management and Accounting 5 5%
Unspecified 3 3%
Other 14 13%
Unknown 36 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2018.
All research outputs
#4,621,327
of 25,385,509 outputs
Outputs from BMC Public Health
#5,474
of 17,517 outputs
Outputs of similar age
#81,789
of 339,622 outputs
Outputs of similar age from BMC Public Health
#163
of 342 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 342 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.