Evidence map›Paper›PMID 41179793›Full record

ArticleFrontiers in public health2025

Adapting the deliberative democracy approach to LMIC settings: a case study in Nigeria.

Laura M Gaydos, Kabiru Salami, Wasiu Yusuf, Ifeoma Idigbe, Olutosin Awolude, Olabanjo Ogunsola, Tyree Staple, Priscilla Ezemelue, Oluseye Ajayi, Oliver Ezechi and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Laura M GaydosDepartment of Health Policy and Management, Emory University, Atlanta, GA, United States.
Kabiru SalamiDepartment of Sociology (Medical Sociology), University of Ibadan, Ibadan, Nigeria.
Wasiu YusufDepartment of Sociology (Medical Sociology), University of Ibadan, Ibadan, Nigeria.
Ifeoma IdigbeClinical Sciences Department, Nigerian Institute of Medical Research, Lagos, Nigeria.
Olutosin AwoludeObstetrics and Gynecology Department, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Olabanjo OgunsolaAPIN Public Health Initiatives, Abuja, FCT, Nigeria.
Tyree StapleDepartment of Gynecology and Obstetrics, Emory University, Atlanta, GA, United States.
Priscilla EzemelueClinical Sciences Department, Nigerian Institute of Medical Research, Lagos, Nigeria.
Oluseye AjayiClinical Sciences Department, Nigerian Institute of Medical Research, Lagos, Nigeria.
Oliver EzechiClinical Sciences Department, Nigerian Institute of Medical Research, Lagos, Nigeria.
Colleen M McBrideDepartment of Behavioral, Social and Health Education Sciences, Emory University, Atlanta, GA, United States.
Lisa FlowersDepartment of Gynecology and Obstetrics, Emory University, Atlanta, GA, United States.

Funding

The CHESS (Community, Home-based Education, Screening Services) Strategy to increase cervical cancer control access for HIV positive women in NigeriaU01CA275113 · NCI · EMORY UNIVERSITY · PI Olutosin Alaba Awolude, OLIVER CHUKWUJEKWU EZECHI · 2022 to 2026
$3.1M
NCI NIH HHS U01 CA275113
6 · The paper itself

Abstract

Background: Developing sustainable health promotion interventions in low- and middle-income countries (LMICs) faces challenges due to limited infrastructure and diverse cultural contexts. Community engagement is essential for effective health promotion, but higher intensity strategies may be infeasible in under-resourced settings. This study aimed to adapt the Mentor Mother (MM) HIV peer program to include HPV self-screening for Nigerian women living with HIV using deliberative democracy (DD) principles. Methods: The study utilized a tiered DD approach to explore stakeholders' perspectives on feasible and sustainable strategies for the MM program. The process included two tiers: an initial deliberation among the research team and a subsequent community deliberation. The research team deliberation involved online sessions to identify feasible program adaptations as well as a model deliberation process. The community deliberation included a diverse group of stakeholders who participated in a two-day conference, engaging in small and large group discussions to reach consensus on program adaptations. Results: The research team identified two options for HPV sample collection and result delivery. The community deliberation reached consensus on both questions. For sample collection, the preferred option was for MMs to educate women in organized groups and transport samples to the laboratory. For result delivery, the consensus was for MMs to return all results to patients after additional training. The process demonstrated high levels of participant satisfaction, increased self-efficacy in explaining HPV screening, and adherence to DD principles of inclusivity, reasoned justification, and societal perspective. Conclusion: The DD process was feasible and effective in adapting the MM program for HPV screening in Nigeria. The approach empowered community members and enhanced the intervention's development. However, adaptations were necessary to address cultural norms and logistical challenges. The study highlights the potential of DD to inform health promotion strategies in LMICs, ensuring interventions are culturally appropriate and sustainable.

Indexed as

Community ParticipationDemocracyDeveloping CountriesHealth PromotionHIV InfectionsMass ScreeningPapillomavirus InfectionsAdultFemaleHumansNigeriaPeer Groupcervical cancerdeliberative democracyHIVHPVLMICwomen living with HIV

Identifiers

PMID41179793
PMCPMC12575237

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.