Evidence map›Paper›PMID 40660245›Full record

ArticleHealth research policy and systems2025

Assessing the potential for scaling evidence-based interventions in African health systems: A deliberate dialogue.

Humphrey Cyprian Karamagi, Ali Ben Charif, Hillary Kipchumba Kipruto, Sokona Sy, Jacinta Nzinga, Araia Berhane, Tewelde Yohannes, Stephen Senkomago Musoke, Kyuree Kim, Kristina Tunheim and 1 more

Abstract read
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Article in Health research policy and systems, 2025. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Humphrey Cyprian KaramagiData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo. karamagih@gmail.com.
Ali Ben CharifCubecXpert, Quebec City, QC, Canada.
Hillary Kipchumba KiprutoHealth Information System, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.
Sokona SyData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.
Jacinta NzingaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Araia BerhaneCommunicable Diseases, Ministry of Health, Asmara, Eritrea.
Tewelde YohannesPolicy and Planning, Ministry of Health Eritrea, Asmara, Eritrea.
Stephen Senkomago MusokeData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.
Kyuree KimData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.
Kristina TunheimData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.
Solyana Ngusbrhan KidaneData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe WHO Regional Office for Africa reviewed evidence-based interventions designed to enhance health systems outputs: access, quality, demand and resilience. Although there is eagerness to expand interventions, the extent to which they can be successfully scaled remains mostly unknown. This study evaluated their potential for scaling to enhance system outputs.

methodsUnderpinned by two frameworks for knowledge transfer, the study utilized a deliberative dialogue approach and an integrated knowledge translation strategy. A steering committee of 8 men and women oversaw the process, and 25 experts from across Africa were invited to participate. Data collection employed the African Scalability Assessment Framework (AFROSAF), consisting of 15 attributes grouped into nine scalability components: health need (three attributes), development process (three), intervention content (one), political context (one), evidence for impact (two), resource availability (one), target unit (one), scaling setting (one) and sustainability at scale (one). The scoring was on a 4-point Likert scale. Intervention scores ranged from 0 to 100, where higher scores indicated a greater potential for successful scaling. Data analysis included frequency counts, arithmetic mean, standard deviation (SD), 95% confidence interval (CI) and hierarchical cluster analysis.

resultsA total of 288 health services interventions were rated for scalability, with most focusing on disease prevention (n = 114; 39.6%) and newborn age group (n = 70; 24.3%). The scalability scores averaged 79.2 (SD 17.5). The highest component score was evidence for impact [mean (CI 95%) 87.9 (85.7, 90.2)] and lowest for health security [61.9 (58.0, 65.8)]. The scalability scores varied across public health functions and age cohorts. Interventions were clustered into three groups based on their scalability score: high (n = 185; 64.2%; mean 89.5; SD 6.1; range 78.7-100), medium (n = 77; 26.7%; mean 68.6; SD 5.3; range 58.3-76.9) and low (n = 26; 9.0%; mean 37.4; SD 14.2; range 3.7-55.6). Most high-scoring interventions focused on disease prevention, 78 (42.2%) and reproductive and newborn age groups 59 (31.9%).

conclusionsThis study rated public health interventions for their scalability in African health systems. Disease prevention interventions for pregnancy women and newborns were most likely to be scaled. However, health security remained largely unexplored, and further investigation remains pivotal.

Indexed as

Delivery of Health CareEvidence-Based PracticeTranslational Research, BiomedicalAfricaFemaleHumansMaleAfricaDeliberative dialogueEvidence-based interventionsHealth systemImplementation scienceKnowledge translationPublic healthScalabilityScaling

Identifiers

PMID40660245
PMCPMC12257760

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LicenceCC BY-NC-ND
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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.