Evidence map›Paper›PMID 36963060›Full record

ArticlePLOS global public health2023

What influences slum residents' choices of healthcare providers for common illnesses? Findings of a Discrete Choice Experiment in Ibadan, Nigeria.

Olufunke Fayehun, Jason Madan, Abiola Oladejo, Omobowale Oni, Eme Owoaje, Motunrayo Ajisola, Richard Lilford, Akinyinka Omigbodun, Improving Health in Slums Collaborative

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Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Olufunke FayehunDepartment of Sociology, University of Ibadan, Ibadan, Nigeria.ORCID https://orcid.org/0000-0002-3769-2130
Jason MadanWarwick Medical School, University of Warwick, Warwick, United Kingdom.
Abiola OladejoDepartment of Sociology, University of Ibadan, Ibadan, Nigeria.
Omobowale OniDepartment of Agricultural Economics, University of Ibadan, Ibadan, Nigeria.
Eme OwoajeDepartment of Community Medicine, University of Ibadan, Ibadan, Nigeria.
Motunrayo AjisolaDepartment of Sociology, University of Ibadan, Ibadan, Nigeria.
Richard LilfordInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Akinyinka OmigbodunDepartment of Obstetrics & Gynecology, University of Ibadan, Ibadan, Nigeria.ORCID https://orcid.org/0000-0002-6377-9299
Improving Health in Slums Collaborative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban slum residents have access to a broad range of facilities of varying quality. The choices they make can significantly influence their health outcomes. Discrete Choice Experiments (DCEs) are a widely-used health economic methodology for understanding how individuals make trade-offs between attributes of goods or services when choosing between them. We carried out a DCE to understand these trade-offs for residents of an urban slum in Ibadan, Nigeria. We conducted 48 in-depth interviews with slum residents to identify key attributes influencing their decision to access health care. We also developed three symptom scenarios worded to be consistent with, but not pathegonian of, malaria, cholera, and depression. This led to the design of a DCE involving eight attributes with 2-4 levels for each. A D-efficient design was created, and data was collected from 557 residents between May 2021 and July 2021. Conditional-logit models were fitted to these data initially. Mixed logit and latent class models were also fitted to explore preference heterogeneity. Conditional logit results suggested a substantial Willingness-to-pay (WTP) for attributes associated with quality. WTP estimates across scenarios 1/2/3 were N5282 / N6080 / N3715 for the government over private ownership, N2599 / N5827 / N2020 for seeing a doctor rather than an informal provider and N2196 / N5421 /N4987 for full drug availability over none. Mixed logit and latent class models indicated considerable preference heterogeneity, with the latter suggesting a substantial minority valuing private over government facilities. Higher income and educational attainment were predictive of membership of this minority. Our study suggests that slum residents value and are willing to pay for high-quality care regarding staff qualifications and drug availability. It further suggests substantial variation in the perception of private providers. Therefore, improved access to government facilities and initiatives to improve the quality of private providers are complementary strategies for improving overall care received.

Identifiers

PMID36963060
PMCPMC10021758

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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.