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Associations in the continuum of care for maternal, newborn and child health: a population-based study of 12 sub-Saharan Africa countries

Overview of attention for article published in BMC Public Health, May 2016
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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)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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9 X users

Citations

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48 Dimensions

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215 Mendeley
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Title
Associations in the continuum of care for maternal, newborn and child health: a population-based study of 12 sub-Saharan Africa countries
Published in
BMC Public Health, May 2016
DOI 10.1186/s12889-016-3075-0
Pubmed ID
Authors

Patrick Opiyo Owili, Miriam Adoyo Muga, Yiing-Jenq Chou, Yi-Hsin Elsa Hsu, Nicole Huang, Li-Yin Chien

Abstract

Despite the progress in the Millennium Development Goals (MDGs) 4 and 5, inequity in the utilization of maternal, newborn and child health (MNCH) care services still remain high in sub-Saharan Africa (SSA). The continuum of care for MNCH that recognizes a tight inter-relationship between maternal, newborn and child health at different time periods and location is key towards reducing inequity in health. In this study, we explored the distributions in the utilization MNCH services in 12 SSA countries and further investigated the associations in the continuum of care for MNCH. Using Demographic and Health Surveys data of 12 countries in SSA, structural equation modeling approach was employed to analyze the complex relationships in continuum of care for MNCH model. The Full Information Maximum Likelihood estimation procedure which account for the Missing at Random (MAR) and Missing Completely at Random (MCAR) assumptions was adopted in LISREL 8.80. The distribution of MNCH care utilization was presented before the estimated association in the continuum of care for MNCH model. Some countries have a consistently low (Mali, Nigeria, DR Congo and Rwanda) or high (Namibia, Senegal, Gambia and Liberia) utilization in at least two levels of MNCH care. The path relationships in the continuum of care for MNCH from 'adequate antenatal care' to 'adequate delivery care' (0.32) and to 'adequate child's immunization' (0.36); from 'adequate delivery care' to 'adequate postnatal care' (0.78) and to 'adequate child's immunization' (0.15) were positively associated and statistically significant at p < 0.001. Only the path relationship from 'adequate postnatal care' to 'adequate child's immunization' (-0.02) was negatively associated and significant at p < 0.001. In conclusion, utilization of each level of MNCH care is related to the next level of care, that is - antenatal care is associated with delivery care which is then associated with postnatal and subsequently with child's immunization program. At the national level, identification of communities which are greatly contributing to overall disparity in health and a well laid out follow-up mechanism from pregnancy through to child's immunization program could serve towards improving maternal and infant health outcomes and equity.

X Demographics

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 23%
Student > Ph. D. Student 30 14%
Researcher 15 7%
Other 12 6%
Student > Postgraduate 12 6%
Other 39 18%
Unknown 57 27%
Readers by discipline Count As %
Nursing and Health Professions 49 23%
Medicine and Dentistry 47 22%
Social Sciences 19 9%
Agricultural and Biological Sciences 7 3%
Business, Management and Accounting 2 <1%
Other 17 8%
Unknown 74 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 June 2016.
All research outputs
#4,620,534
of 22,875,477 outputs
Outputs from BMC Public Health
#5,092
of 14,916 outputs
Outputs of similar age
#78,126
of 326,829 outputs
Outputs of similar age from BMC Public Health
#80
of 175 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 65% 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 326,829 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 175 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 54% of its contemporaries.