Evidence map›Paper›PMID 38744488›Full record

ArticleGlobal health, science and practice2024

Trends in and Correlates of Short-Acting Contraceptive Stock-Outs: Multicountry Analysis of Performance Monitoring for Action Agile Platform Data.

Alain K Koffi, Pierre Muhoza, Saifuddin Ahmed, Philip Anglewicz, Funmilola OlaOlorun, Elizabeth Omoluabi, Mary Thiongo, Peter Gichangi, Georges Guiella, Pierre Akilimali and 3 more

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Article in Global health, science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Alain K KoffiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. akoffi1@jhu.edu.
Pierre MuhozaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Saifuddin AhmedDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Philip AnglewiczDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Funmilola OlaOlorunDepartment of Community Medicine, University of Ibadan, Ibadan, Nigeria.
Elizabeth OmoluabiCentre for Research, Evaluation Resources and Development, Ife, Nigeria.
Mary ThiongoInternational Centre for Reproductive Health Kenya, Nairobi, Kenya.
Peter GichangiTechnical University of Mombasa, Mombasa, Kenya.
Georges GuiellaInstitut Supérieur des Sciences de la Population, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso.
Pierre AkilimaliEcole de Santé Publique de l'Université de Kinshasa, Kinshasa, Democratic Republic of Congo.
P R SodaniIIHMR University, Jaipur, India.
Amy TsuiDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Scott RadloffDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding trends in contraceptive stock-outs, as well as their structural and demand-side correlates, is critical for policymakers and program managers to identify strategies to further anticipate, reduce, and prevent stock-outs. We analyzed trends as well as supply- and demand-side correlates of short-acting contraceptive method stock-outs by using data from multiple rounds of Performance Monitoring for Action Agile surveys. These data longitudinally measured contraceptive availability over 2 years (between November 2017 and January 2020) across 2,134 public and private service delivery points (SDPs) from urban areas of 5 countries (Burkina Faso, Democratic Republic of the Congo [DRC], India, Kenya, and Nigeria). For each country, we analyzed the trends and used multilevel mixed-effect logistic regression to model the odds of short-acting contraceptive stock-outs, adjusting for key structural and demand-side factors of the SDPs. Stock-outs in short-acting contraceptive methods were common in health facilities and varied markedly, ranging from as low as 2.9% (95% confidence interval [CI]=1.7%, 5.1%) in India to 51.0% (95% CIs=46.8%, 56.0%) in Kenya. During the observation period, stock-out rates decreased by 28% in the SDP samples in India (aOR=0.72,

Indexed as

Contraceptive AgentsBurkina FasoContraceptionDemocratic Republic of the CongoFamily Planning ServicesFemaleHumansIndiaKenyaNigeriaContraceptive Agents

Identifiers

PMID38744488
PMCPMC11216709

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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.