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Predictors of person-centered maternity care: the role of socioeconomic status, empowerment, and facility type

Overview of attention for article published in BMC Health Services Research, May 2018
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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2 news outlets
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9 X users
facebook
1 Facebook page

Citations

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56 Dimensions

Readers on

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298 Mendeley
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Title
Predictors of person-centered maternity care: the role of socioeconomic status, empowerment, and facility type
Published in
BMC Health Services Research, May 2018
DOI 10.1186/s12913-018-3183-x
Pubmed ID
Authors

Patience A. Afulani, Takudzwa S. Sayi, Dominic Montagu

Abstract

Low use of maternal health services, as well as poor quality care, contribute to the high maternal mortality in sub-Saharan Africa (SSA). In particular, poor person-centered maternity care (PCMC), which captures user experience, contributes both directly to pregnancy outcomes and indirectly through decreased demand for services. While many studies have examined disparities in use of maternal health services, few have examined disparities in quality of care, and none to our knowledge has empirically examined disparities in PCMC in SSA. The aim of this study is to examine factors associated with PCMC, particularly the role of household wealth, personal empowerment, and type of facility. Data are from a survey conducted in western Kenya in 2016, with women aged 15 to 49 years who delivered in the 9 weeks preceding the survey (N = 877). PCMC is operationalized as a summative score based on responses to 30 items in the PCMC scale capturing dignity and respect, communication and autonomy, and supportive care. We find that net of other factors; wealthier, employed, literate, and married women report higher PCMC than poorer, unemployed, illiterate, and unmarried women respectively. Also, women who have experienced domestic violence report lower PCMC than those who have never experienced domestic violence. In addition, women who delivered in health centers and private facilities reported higher PCMC than those who delivered in public hospitals. The effect of employment and facility type is conditional on wealth, and is strongest for the poorest women. Poor women who are unemployed and poor women who deliver in higher-level facilities receive the lowest quality PCMC. The findings imply the most disadvantaged women receive the lowest quality PCMC, especially when they seek care in higher-level facilities. Interventions to reduce disparities in PCMC are essential to improve maternal outcomes among disadvantaged groups.

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X Demographics

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 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 298 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 14%
Researcher 23 8%
Student > Ph. D. Student 20 7%
Student > Doctoral Student 20 7%
Student > Bachelor 18 6%
Other 55 18%
Unknown 119 40%
Readers by discipline Count As %
Nursing and Health Professions 54 18%
Medicine and Dentistry 49 16%
Social Sciences 28 9%
Business, Management and Accounting 5 2%
Arts and Humanities 5 2%
Other 32 11%
Unknown 125 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 08 March 2023.
All research outputs
#1,404,829
of 23,505,064 outputs
Outputs from BMC Health Services Research
#441
of 7,838 outputs
Outputs of similar age
#32,124
of 326,636 outputs
Outputs of similar age from BMC Health Services Research
#18
of 214 outputs
Altmetric has tracked 23,505,064 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,838 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 94% 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 326,636 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 90% of its contemporaries.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.