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Utilisation of health services and the poor: deconstructing wealth-based differences in facility-based delivery in the Philippines

Overview of attention for article published in BMC Public Health, July 2016
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Title
Utilisation of health services and the poor: deconstructing wealth-based differences in facility-based delivery in the Philippines
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3148-0
Pubmed ID
Authors

Andrew Hodge, Sonja Firth, Raoul Bermejo, Willibald Zeck, Eliana Jimenez-Soto

Abstract

Despite achieving some success, wealth-related disparities in the utilisation of maternal and child health services persist in the Philippines. The aim of this study is to decompose the principal factors driving the wealth-based utilisation gap. Using national representative data from the 2013 Philippines Demographic and Health Survey, we examine the extent overall differences in the utilisation of maternal health services can be explained by observable factors. We apply nonlinear Blinder-Oaxaca-type decomposition methods to quantify the effect of differences in measurable characteristics on the wealth-based coverage gap in facility-based delivery. The mean coverage of facility-based deliveries was respectively 41.1 % and 74.6 % for poor and non-poor households. Between 67 and 69 % of the wealth-based coverage gap was explained by differences in observed characteristics. After controlling for factors characterising the socioeconomic status of the household (i.e. the mothers' and her partners' education and occupation), the birth order of the child was the major factor contributing to the disparity. Mothers' religion and the subjective distance to the health facility were also noteworthy. This study has found moderate wealth-based disparities in the utilisation of institutional delivery in the Philippines. The results confirm the importance of recent efforts made by the Philippine government to implement equitable, pro-poor focused health programs in the most deprived geographic areas of the country. The importance of addressing the social determinants of health, particularly education, as well as developing and implementing effective strategies to encourage institutional delivery for higher order births, should be prioritised.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 16%
Student > Master 18 15%
Student > Ph. D. Student 11 9%
Student > Bachelor 11 9%
Student > Doctoral Student 5 4%
Other 14 12%
Unknown 39 33%
Readers by discipline Count As %
Nursing and Health Professions 17 15%
Medicine and Dentistry 16 14%
Social Sciences 16 14%
Psychology 4 3%
Unspecified 3 3%
Other 15 13%
Unknown 46 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 July 2019.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Public Health
#11,317
of 15,466 outputs
Outputs of similar age
#221,485
of 359,633 outputs
Outputs of similar age from BMC Public Health
#263
of 330 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 359,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.