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Weighted log-linear models for service delivery points in Ethiopia: a case of modern contraceptive users at health facilities

Overview of attention for article published in Reproductive Health, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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1 blog
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48 Mendeley
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Title
Weighted log-linear models for service delivery points in Ethiopia: a case of modern contraceptive users at health facilities
Published in
Reproductive Health, May 2018
DOI 10.1186/s12978-018-0520-9
Pubmed ID
Authors

Demeke Lakew Workie, Dereje Tesfaye Zike, Haile Mekonnen Fenta, Mulusew Admasu Mekonnen

Abstract

Ethiopia is among countries with low contraceptive usage prevalence rate and resulted in high total fertility rate and unwanted pregnancy which intern affects the maternal and child health status. This study aimed to investigate the major factors that affect the number of modern contraceptive users at service delivery point in Ethiopia. The Performance Monitoring and Accountability2020/Ethiopia data collected between March and April 2016 at round-4 from 461 eligible service delivery points were in this study. The weighted log-linear negative binomial model applied to analyze the service delivery point's data. Fifty percent of service delivery points in Ethiopia given service for 61 modern contraceptive users with the interquartile range of 0.62. The expected log number of modern contraceptive users at rural was 1.05 (95% Wald CI: - 1.42 to - 0.68) lower than the expected log number of modern contraceptive users at urban. In addition, the expected log count of modern contraceptive users at others facility type was 0.58 lower than the expected log count of modern contraceptive users at the health center. The numbers of nurses/midwives were affecting the number of modern contraceptive users. Since, the incidence rate of modern contraceptive users increased by one due to an additional nurse in the delivery point. Among different factors considered in this study, residence, region, facility type, the number of days per week family planning offered, the number of nurses/midwives and number of medical assistants were to be associated with the number of modern contraceptive users. Thus, the Government of Ethiopia would take immediate steps to address causes of the number of modern contraceptive users in Ethiopia.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 27%
Researcher 7 15%
Student > Bachelor 4 8%
Unspecified 1 2%
Lecturer > Senior Lecturer 1 2%
Other 2 4%
Unknown 20 42%
Readers by discipline Count As %
Nursing and Health Professions 7 15%
Medicine and Dentistry 4 8%
Social Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 2 4%
Other 8 17%
Unknown 20 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 May 2018.
All research outputs
#3,784,451
of 23,047,237 outputs
Outputs from Reproductive Health
#410
of 1,424 outputs
Outputs of similar age
#74,203
of 326,024 outputs
Outputs of similar age from Reproductive Health
#20
of 47 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has gotten more attention than average, scoring higher than 69% 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 326,024 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 77% of its contemporaries.
We're also able to compare this research output to 47 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 55% of its contemporaries.