Evidence map›Paper›PMID 39719642›Full record

ArticleHealth research policy and systems2024

Assessing the scalability of health system interventions in Africa: protocol for a Delphi study.

Humphrey Cyprian Karamagi, Ali Ben Charif, Solyana Ngusbrhan Kidane, Araia Berhane, Jacinta Nzinga, Tewelde Yohannes, Thandekile Ntombikayise Moyo, Sokona Sy, Hillary Kipchumba Kipruto

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Article in Health research policy and systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Humphrey Cyprian KaramagiData Analytics and Knowledge Management, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo. karamagih@gmail.com.ORCID http://orcid.org/0000-0002-6277-2095
Ali Ben CharifCubecXpert, Quebec City, QC, Canada.
Solyana Ngusbrhan KidaneCubecXpert, Quebec City, QC, Canada.
Araia BerhaneCommunicable Diseases, Ministry of Health, Asmara, Eritrea.
Jacinta NzingaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Tewelde YohannesPolicy and Planning, Ministry of Health, Asmara, Eritrea.
Thandekile Ntombikayise MoyoData Analytics and Knowledge Management, 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.
Hillary Kipchumba KiprutoHealth Information System, World Health Organization (WHO) Regional Office for Africa, Brazzaville, Republic of Congo.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThere is widespread enthusiasm for scaling interventions to strengthen health systems. However, little is known about the scalability of such interventions in Africa. In this study, we seek to assess the scalability of interventions for improving the functionality of health systems in Africa, as a key to large-scale implementation strategy of interventions with potential for impact.

methodsThe study will deploy a multi-pronged approach, grounded in an integrated knowledge translation (iKT) approach. First, a multidisciplinary steering committee will be established, involving key female and male stakeholders in all stages of our study from its inception and as equal members of the research team for overseeing the project. Second, as part of the RAND/University of California, Los Angeles (UCLA) Appropriateness Method, evidence from a published systematic review will be used to develop the African Scalability Assessment Framework (AFROSAF), a series of multiple attributes for assessing the ability to scale a health system intervention in Africa. Third, the content of the AFROSAF will be validated using Delphi survey (within a deliberative dialogue) following the Lavis' framework for knowledge transfer and a conceptual framework developed by Boyko et al. a multi-stakeholder consensus exercise with experts from Africa will be convened. The Likert scaled scalability attributes developed will be rated and descriptive statistics and hierarchical cluster analysis will be used to synthesize the data. Finally, document analyses will be conducted to rate to which extent each intervention has data that meet criteria responding to the essential components of scalability using the AFROSAF. We will conduct an analysis to score and rank each intervention for scalability. DISCUSSION: This project proposes an approach aiming to catalyse the scale of interventions for effective functionality of health systems in Africa. The process will yield a scalability assessment tool for Africa and inventory scalable interventions. The findings will help African countries and policymakers understand the parameters to use and assess health system interventions for scaling.

Indexed as

Delivery of Health CareDelphi TechniqueAfricaConsensusFemaleHumansMaleResearch DesignStakeholder ParticipationSystematic Reviews as TopicTranslational Research, BiomedicalAfricaAFROSAFHealth systemImplementation scienceInterventionKnowledge translationScalability

Identifiers

PMID39719642
PMCPMC11669216

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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.