Evidence map›Paper›PMID 41329758›Full record

ArticlePLOS global public health2025

Structural quality of health facilities to provide family planning services in Ethiopia: Evidence from the 2021-22 Ethiopia Service Provision Assessment survey.

Tewachew Muche Liyeh, Angela Dawson, Abela Mahimbo, Andrew Hayen

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Tewachew Muche LiyehCollege of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0002-8839-8767
Angela DawsonSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
Abela MahimboSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
Andrew HayenSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structural quality of family planning services reflects the capacity of health facilities to deliver effective care through adequate infrastructure, supplies, commodities, and trained personnel. While some evidence exists, recent national-level estimates of structural quality in Ethiopia remain limited. This study addresses this gap by assessing the overall structural quality of family planning services and the factors influencing it. Using data from the 2021-22 Ethiopia Service Provision Assessment survey, we assessed the structural quality across four domains: availability of trained staff, family planning guidelines, contraceptives, and equipment and supplies, aggregated into a composite score ranging from 0 to 100%. A survey-weighted multiple linear regression model was applied to assess associations between structural quality and facility characteristics, management factors, and regional variation. Among 1,102 health facilities, the estimated overall structural quality score for family planning services was 42.4% (95% CI: 41.2% to 43.6%). The availability of family planning guidelines, trained staff, equipment and supplies, and contraceptives was 55.9%, 24.1%, 45.6%, and 44.1%, respectively. Structural quality was 18.4% lower in private clinics (95% CI: -25.1% to -11.7%) and 17.0% lower in health posts (95% CI: -24.3% to -9.6%) compared to hospitals. Compared to metropolitan regions, the score was 12.4% lower in Gambela (95% CI: -20.3% to -4.6%) and 13.5% higher in Benishangul Gumuz (95% CI: 4.2% to 22.7%). Facilities that received external supervision in the past six months had 4.9% (95% CI: 0.1% to 9.7%) higher structural quality than those without supervision. Overall, the structural quality of facilities providing family planning services in Ethiopia remains suboptimal, with notable variations by facility type, region, and supervision status. Strengthening facility readiness, especially in underperforming settings, and ensuring regular supervision are essential to improving the capacity of facilities to deliver effective family planning services and advance progress toward Family Planning 2030 commitments.

Identifiers

PMID41329758
PMCPMC12671807

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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.