Evidence map›Paper›PMID 40354416›Full record

ArticlePLOS global public health2025

Can audit and feedback improve health service readiness and delivery outcomes in a low-resource setting? Effectiveness results of the IDEAs strategy from central Mozambique.

Aneth Dinis, Orvalho Augusto, Quinhas Fernandes, Ermyas Birru, Ruth Etzioni, Sarah Gimbel, Stephen Gloyd, Isaías Ramiro, Artur Gremu, Grace John-Stewart and 4 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

14 authors.

Aneth DinisNational Department of Public Health, Ministry of Health, Maputo City, Mozambique.ORCID https://orcid.org/0000-0003-4596-2214
Orvalho AugustoDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Quinhas FernandesNational Department of Public Health, Ministry of Health, Maputo City, Mozambique.
Ermyas BirruDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0001-9393-2533
Ruth EtzioniDepartment of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Sarah GimbelDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Stephen GloydDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0001-7017-8750
Isaías RamiroComité para Saúde de Moçambique, Maputo, Mozambique.
Artur GremuComité para Saúde de Moçambique, Maputo, Mozambique.
Grace John-StewartDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-4301-1573
Bradley H WagenaarDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Bryan J WeinerDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Sérgio ChicumbeNational Institute of Health, Maputo, Mozambique.
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.

Funding

Spreading the Integrated District Evidence-to-Action Program for Neonatal Mortality Reduction (IDEAs) in MozambiqueR01HD092449 · NICHD · UNIVERSITY OF WASHINGTON · PI FERNANDES, QUINHAS, SHERR, KENNETH · 2018 to 2022
$2.8M
NICHD NIH HHS R01 HD092449
6 · The paper itself

Abstract

Limited evidence exists on audit and feedback(A&F) in low-resource contexts. We tested the Integrated District Evidence-to-Action (IDEAs), a multicomponent A&F strategy in Mozambique's maternal and child health (MCH) services. IDEAs include A&F meetings, readiness assessments, and facility support. We report the effectiveness results. IDEAs were implemented in 2016-2020 across two provinces, 12 districts, and 154 primary health facilities in Mozambique. We assessed 1) ten service delivery outcomes across antenatal, maternity, postpartum, childcare, and reproductive health services and 2) five service readiness outcomes (medicines, infrastructure, equipment, care, and staffing availability). We used propensity score matching to minimize bias and a controlled interrupted time series with a negative binomial mixed effects model for service delivery analysis, presenting incidence rate ratios (IRR) with 95% confidence intervals (95% CI). For service readiness outcomes, we created composite scores for each domain and a difference-in-difference analysis using an ordinal mixed effects model, reporting odds ratios (OR) and 95% CI. Significant associations were found with first at-risk child appointments (IRR = 1.06 [1.04, 1.07]), first polymerase chain reaction tests for HIV-exposed children (IRR = 1.02 [1.01, 1.03]), new contraceptive users (IRR = 0.95 [0.94, 0.96]), women starting long-lasting contraceptives (IRR = 0.94 [0.93, 0.95]), availability of infrastructure (OR = 5.84 [1.32, 25.88]) and essential care (OR = 0.13 [0.03, 0.54]). No significant associations were found between IDEAs and six of 10 service delivery outcomes (women with a fourth dose of preventive malaria treatment; women protected with tetanus vaccine; women with four+ antenatal visits; deliveries with active management of the third stage of labor; first postpartum consultations and fully vaccinated children) and on medicine, equipment, and staffing availability. We observed mixed effectiveness in implementing IDEAs, with null and sub-optimal effects suggesting the need to refine and adapt strategy components to more effectively address clinical and readiness outcomes.

Identifiers

PMID40354416
PMCPMC12068616

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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.