Evidence map›Paper›PMID 39614807›Full record

ArticleSociology of health & illness2025

Navigating the Lay Referral System for Treatment-Seeking Decisions During Illness in the Digital Age: A Qualitative Study of Adults Living in Slums in Nigeria.

Chinwe Onuegbu, Jenny Harlock, Frances Griffiths

Abstract read
In one paragraph

Article in Sociology of health & illness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Chinwe OnuegbuDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0001-6372-9390
Jenny HarlockDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Frances GriffithsDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.

Funding

National Institute for Health and Care Research 16/136/87
6 · The paper itself

Abstract

Interaction with a lay referral system (informal networks that provide health advice during illness) influences the treatment-seeking decisions of individuals with perceived healthcare needs. We examined how this occurred in urban slums in Nigeria with scarce formal healthcare and unstable social networks. Using existing theories of social networks and lay referral, we examined the use of these systems for treatment-seeking decisions in slums, including the use of digital technologies. We interviewed 30 adults (aged 18-64) of diverse age, gender, network size and use of digital technologies for health advice in two Nigerian slums. We analysed the data using a thematic inductive-deductive approach. Lay referral was multidimensional: discussion of illness during daily bonding, social demonstration of self and purposeful exchange of support. People limited lay referrals to a few family members and friends, avoiding wider interactions due to mistrust. Use of online sources was scarce due to limited access to smart devices and low digital health literacy. Lay referral motivated timely care seeking but also facilitated unhelpful advice. Slum residents were agentic in their use of their lay referral system. The effectiveness of their agency may be improved if trusted and reliable health advice sources are available in addition to their social network.

Indexed as

Decision MakingPatient Acceptance of Health CarePoverty AreasReferral and ConsultationAdolescentAdultFemaleHumansInterviews as TopicMaleMiddle AgedNigeriaQualitative ResearchSocial SupportYoung Adult

Identifiers

PMID39614807
PMCPMC11851050

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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.