Evidence map›Paper›PMID 30010860›Full record

ArticleHealth policy and planning2018

Measuring family planning quality and its link with contraceptive use in public facilities in Burkina Faso, Ethiopia, Kenya and Uganda.

Timothee Fruhauf, Linnea Zimmerman, Simon Peter Sebina Kibira, Fredrick Makumbi, Peter Gichangi, Solomon Shiferaw, Assefa Seme, Georges Guiella, Amy Tsui

Abstract read
In one paragraph

Article in Health policy and planning, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Use of family planning information by primary healthcare clinic managers in South Africa.Health information management : journal of the Health Information Management Association of Australia · 2025
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  17. Investigating Seasonal Agriculture, Contraceptive Use, and Pregnancy in Burkina Faso.The Professional geographer : the journal of the Association of American Geographers · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Timothee FruhaufDepartment of Gynecology & Obstetrics, Johns Hopkins School of Medicine, 600 N. Wolfe Street, Baltimore, USA.
Linnea ZimmermanDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe Street, E4531, Baltimore, USA.
Simon Peter Sebina KibiraDepartment of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, New Mulago Hill Road, Kampala, Uganda.
Fredrick MakumbiDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, New Mulago Hill Road, Kampala, Uganda.
Peter GichangiUniversity of Nairobi and Ghent University, Nairobi, Kenya.
Solomon ShiferawDepartment of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Assefa SemeDepartment of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Georges GuiellaInstitut Supérieur des Sciences de la Population, Université Ouaga 1 Pr Joseph Ki-Zerbo, Burkina Faso.
Amy TsuiDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe Street, E4546, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The individual impacts of several components of family planning service quality on contraceptive use have been studied, but the influence of a composite measure synthesizing these components has not been often investigated. We (1) develop a composite score for family planning service quality based on health facility data from Burkina Faso, Ethiopia, Kenya and Uganda and (2) examine the influence of structural quality on contraceptive practice in these four countries. We used nationally representative cross-sectional survey data of health facilities and women of reproductive age. First, we constructed quality scores for facilities using principal component analysis to integrate 18 variables. Second, we linked women to their closest facility using geo-coordinates. Third, we estimated multivariable logistic regression models to calculate women's odds ratios for modern contraceptive use adjusting for facilities' quality and other factors. In Burkina Faso, Ethiopia and Uganda, the odds of using a modern method of contraception was greater if the nearest facility provided high- or medium-quality services compared with low quality in the univariable model. After controlling for possible confounders, the adjusted odds ratios were significant for high quality (aOR: 3.12, P value: 0.005) and medium quality (aOR: 2.57, P value: 0.009) in Ethiopia and in the hypothesized direction but not statistically significant in Uganda or Burkina Faso, and in the opposite direction in Kenya. A process quality measure-having been visited by a community health worker-was statistically significantly associated with modern contraceptive use in three of the four countries (Burkina Faso aOR: 2.18, P value: 0.000; Ethiopia aOR: 1.78, P value: 0.000; Uganda aOR: 1.96, P value: 0.012). These results suggest that service quality in public facilities may be less relevant to contraceptive use in environments where the universe and reach of providers changes actively. Programs promoting contraception therefore need to consider quality within facility types and their service environments.

Indexed as

Quality of Health CareAdolescentAdultAfricaContraceptionCross-Sectional StudiesDeveloping CountriesFamily Planning ServicesFemaleHealth FacilitiesHumans

Identifiers

PMID30010860
PMCPMC6097453

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.