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Maternal mortality: a cross-sectional study in global health

Overview of attention for article published in Globalization and Health, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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47 Dimensions

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325 Mendeley
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Title
Maternal mortality: a cross-sectional study in global health
Published in
Globalization and Health, February 2015
DOI 10.1186/s12992-015-0087-y
Pubmed ID
Authors

Sima Sajedinejad, Reza Majdzadeh, AbouAli Vedadhir, Mahmoud Ghazi Tabatabaei, Kazem Mohammad

Abstract

Although most of maternal deaths are preventable, maternal mortality reduction programs have not been completely successful. As targeting individuals alone does not seem to be an effective strategy to reduce maternal mortality (Millennium Development Goal 5), the present study sought to reveal the role of many distant macrostructural factors affecting maternal mortality at the global level. After preparing a global dataset, 439 indicators were selected from nearly 1800 indicators based on their relevance and the application of proper inclusion and exclusion criteria. Then Pearson correlation coefficients were computed to assess the relationship between these indicators and maternal mortality. Only indicators with statistically significant correlation more than 0.2, and missing values less than 20% were maintained. Due to the high multicollinearity among the remaining indicators, after missing values analysis and imputation, factor analysis was performed with principal component analysis as the method of extraction. Ten factors were finally extracted and entered into a multiple regression analysis. The findings of this study not only consolidated the results of earlier studies about maternal mortality, but also added new evidence. Education (std. B = -0.442), private sector and trade (std. B = -0.316), and governance (std. B = -0.280) were found to be the most important macrostructural factors associated with maternal mortality. Employment and labor structure, economic policy and debt, agriculture and food production, private sector infrastructure investment, and health finance were also some other critical factors. These distal factors explained about 65% of the variability in maternal mortality between different countries. Decreasing maternal mortality requires dealing with various factors other than individual determinants including political will, reallocation of national resources (especially health resources) in the governmental sector, education, attention to the expansion of the private sector trade and improving spectrums of governance. In other words, sustainable reduction in maternal mortality (as a development indicator) will depend on long-term planning for multi-faceted development. Moreover, trade, debt, political stability, and strength of legal rights can be affected by elements outside the borders of countries and global determinants. These findings are believed to be beneficial for sustainable development in Post-2015 Development Agenda.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bolivia, Plurinational State of 1 <1%
South Africa 1 <1%
Unknown 323 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 55 17%
Student > Bachelor 34 10%
Lecturer 29 9%
Researcher 23 7%
Student > Ph. D. Student 17 5%
Other 60 18%
Unknown 107 33%
Readers by discipline Count As %
Nursing and Health Professions 69 21%
Medicine and Dentistry 68 21%
Social Sciences 20 6%
Economics, Econometrics and Finance 9 3%
Business, Management and Accounting 7 2%
Other 37 11%
Unknown 115 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 23 July 2022.
All research outputs
#1,848,155
of 25,311,095 outputs
Outputs from Globalization and Health
#297
of 1,220 outputs
Outputs of similar age
#26,188
of 370,129 outputs
Outputs of similar age from Globalization and Health
#5
of 14 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done well, scoring higher than 75% 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 370,129 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.