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Record W4409993755 · doi:10.1007/s44155-025-00205-5

Community leaders' perspectives on linking formal and informal health providers in Nigerian urban slums: a qualitative study

2025· article· en· W4409993755 on OpenAlexaff
Benard Okechi, Charles T. Orjiakor, Chukwudi Nwokolo, Chukwuedozie K. Ajaero, Mahua Das, Obinna Onwujekwe

Bibliographic record

VenueDiscover Social Science and Health · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersMedical Research Council
KeywordsQualitative researchCommunity health workersSociologyEconomic growthPublic relationsPolitical scienceHealth servicesSocial science

Abstract

fetched live from OpenAlex

Introduction: Poor living conditions and poverty in urban slums mean that informal health providers (IHPs) often dominate health service provision in such settings. We explored the capacity of leaders within slums to contribute to linking IHPs to formal health providers (FHPs), for improved access to quality health services in slums. Method: We purposively selected and interviewed 16 community leaders across 8 urban slums in Enugu and Anambra states in Southeast Nigeria. Transcribed interviews were then analyzed using thematic analysis aided by NVIVO. Finding: Chairpersons and local vigilante security outfits were ubiquitous across urban slum communities- coordinating and influencing actors and health activities within settlements. Oversight functions and lived experiences meant leaders had a good insight into existing community dynamics. Slum leaders acknowledged the differential roles, as well as the strengths and weaknesses of FHPs and IHPs. Linkage establishment was considered potentially useful, and leaders were willing to assist, if the existing shortcomings in FHPs were addressed. Conclusion: Despite being under-recognized, leaders in urban slums have the potential to help the realization of health goals given their grassroots influences. Leaders in urban have strategic positional knowledge and leverage that could catalyze the IHP-FHP linkage conversation and implementation towards improving access to quality healthcare services in slums.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.431
Teacher spread0.380 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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