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Determinants of unmet need for family planning in rural Burkina Faso: a multilevel logistic regression analysis

Overview of attention for article published in BMC Pregnancy and Childbirth, December 2017
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Title
Determinants of unmet need for family planning in rural Burkina Faso: a multilevel logistic regression analysis
Published in
BMC Pregnancy and Childbirth, December 2017
DOI 10.1186/s12884-017-1614-z
Pubmed ID
Authors

Joseph K. Wulifan, Albrecht Jahn, Hervé Hien, Patrick Christian Ilboudo, Nicolas Meda, Paul Jacob Robyn, T. Saidou Hamadou, Ousmane Haidara, Manuela De Allegri

Abstract

Unmet need for family planning has implications for women and their families, such as unsafe abortion, physical abuse, and poor maternal health. Contraceptive knowledge has increased across low-income settings, yet unmet need remains high with little information on the factors explaining it. This study assessed factors associated with unmet need among pregnant women in rural Burkina Faso. We collected data on pregnant women through a population-based survey conducted in 24 rural districts between October 2013 and March 2014. Multivariate multilevel logistic regression was used to assess the association between unmet need for family planning and a selection of relevant demand- and supply-side factors. Of the 1309 pregnant women covered in the survey, 239 (18.26%) reported experiencing unmet need for family planning. Pregnant women with more than three living children [OR = 1.80; 95% CI (1.11-2.91)], those with a child younger than 1 year [OR = 1.75; 95% CI (1.04-2.97)], pregnant women whose partners disapproves contraceptive use [OR = 1.51; 95% CI (1.03-2.21)] and women who desired fewer children compared to their partners preferred number of children [OR = 1.907; 95% CI (1.361-2.672)] were significantly more likely to experience unmet need for family planning, while health staff training in family planning logistics management (OR = 0.46; 95% CI (0.24-0.73)] was associated with a lower probability of experiencing unmet need for family planning. Findings suggest the need to strengthen family planning interventions in Burkina Faso to ensure greater uptake of contraceptive use and thus reduce unmet need for family planning.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 23%
Researcher 7 9%
Student > Doctoral Student 6 7%
Student > Bachelor 6 7%
Student > Postgraduate 5 6%
Other 17 21%
Unknown 21 26%
Readers by discipline Count As %
Nursing and Health Professions 15 19%
Medicine and Dentistry 15 19%
Social Sciences 10 12%
Biochemistry, Genetics and Molecular Biology 4 5%
Unspecified 3 4%
Other 8 10%
Unknown 26 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 January 2018.
All research outputs
#9,883,469
of 12,380,517 outputs
Outputs from BMC Pregnancy and Childbirth
#1,936
of 2,236 outputs
Outputs of similar age
#252,089
of 351,890 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#108
of 122 outputs
Altmetric has tracked 12,380,517 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,236 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 5th percentile – i.e., 5% 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 351,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.