Evidence map›Paper›PMID 40380347›Full record

ArticleBMC public health2025

Stakeholder mapping for a complex and diverse population: methodology for identifying leaders across sub-Saharan Africa.

Katherine Banchoff, Sualiha Abdulkader Muktar, Kelly E Perry, Kendra N Williams, Malanto Rabary, Choolwe Jacobs, Rosemary Morgan, Anna Kalbarczyk

Abstract read
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Article in BMC 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

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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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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

8 authors.

Katherine BanchoffDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sualiha Abdulkader MuktarInternational Institute for Primary Health Care Ethiopia, Addis Ababa, Ethiopia.
Kelly E PerryDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kendra N WilliamsDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Malanto RabaryIndependent Consultant, Antananarivo, Madagascar.
Choolwe JacobsUniversity of Zambia, Lusaka, Zambia.
Rosemary MorganDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Anna KalbarczykDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. akalbarc@jhu.edu.ORCID http://orcid.org/0000-0002-6143-8634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStakeholder-related methodologies for low- and middle-income countries (LMICs) have primarily focused on stakeholder engagement or identification of specific, well-defined populations. Current stakeholder mapping research methods do not provide sufficient sampling processes for defining and implementing a sampling frame for poorly defined populations. In this paper we develop a unique stakeholder mapping methodology and apply it to the Transforming health: The role and impact of women's leadership in the health sector (THRIVE) study, aimed at generating evidence to support investment in women's leadership in global health decision-making in reproductive, maternal, newborn, child, and adolescent health, and nutrition (RMNCAH-N) and immunization across sub-Saharan Africa (SSA). Though current literature has examined challenges women have faced to reach leadership roles, there are no methods for systematically identifying women leaders, and leaders in RMNCAH-N and immunization have not been uniformly well-defined or systematically documented. Consequently, understanding the impact of women's leadership on health and healthcare policies is lacking.

resultsWe developed a stakeholder mapping methodology to ensure accurate identification and representation of leaders in RMNCAH-N and immunization in Sub-Saharan Africa who could serve as a "sampling universe" for further investigation into the impact of women leaders. We began by defining what constituted a "leader" and "leader-adjacent" individual. Using a matrix, we refined the target sample of stakeholders and created uniform inclusion criteria. Stakeholder mapping was guided by the following strategic steps for each SSA country: screen government webpages; contact UN/multilateral agencies; conduct a systematic Google and social media search; identify relevant academic and grey literature; contact professional and personal connections in SSA; cross-check leads against a pre-defined matrix of stakeholder levels; and in-country validation. Inputs were collated into a shared Excel sheet. At the end of the stakeholder mapping exercise, we had systematically identified 3,901 leads. On average, 81 stakeholders were identified for each country. Approximately 38% (n = 1353) of the identified individual stakeholders were women.

conclusionsThis paper's focus on creating a sampling universe of women leaders in RMNCAH-N and immunization in SSA fills a gap in current operational and implementation research. The insights derived from the adaptation and application of this methodology highlight the value of a structured approach to capturing the complexities of stakeholder and leadership dynamics in global health, particularly when applied to systematically map health topics or disciplines that lack databases or public records.

Indexed as

LeadershipStakeholder ParticipationAfrica South of the SaharaFemaleHumansGlobal healthImmunizationRMNCAH-NSamplingSampling frameStakeholder mappingWomen’s leadership

Identifiers

PMID40380347
PMCPMC12082871

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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.