Evidence map›Paper›PMID 36962860›Full record

ArticlePLOS global public health2023

Perceived quality of care and choice of healthcare provider in informal settlements.

Chris Conlan, Teddy Cunningham, Sam Watson, Jason Madan, Alexandros Sfyridis, Jo Sartori, Hakan Ferhatosmanoglu, Richard Lilford

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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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

8 authors.

Chris ConlanDepartment of Computer Science, University of Warwick, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-7138-9493
Teddy CunninghamDepartment of Computer Science, University of Warwick, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-8829-2532
Sam WatsonInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Jason MadanWarwick Medical School, University of Warwick, Coventry, United Kingdom.ORCID https://orcid.org/0000-0003-4316-1480
Alexandros SfyridisDepartment of Computer Science, University of Warwick, Coventry, United Kingdom.
Jo SartoriInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Hakan FerhatosmanogluDepartment of Computer Science, University of Warwick, Coventry, United Kingdom.
Richard LilfordInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When a person chooses a healthcare provider, they are trading off cost, convenience, and a latent third factor: "perceived quality". In urban areas of lower- and middle-income countries (LMICs), including slums, individuals have a wide range of choice in healthcare provider, and we hypothesised that people do not choose the nearest and cheapest provider. This would mean that people are willing to incur additional cost to visit a provider they would perceive to be offering better healthcare. In this article, we aim to develop a method towards quantifying this notion of "perceived quality" by using a generalised access cost calculation to combine monetary and time costs relating to a visit, and then using this calculated access cost to observe facilities that have been bypassed. The data to support this analysis comes from detailed survey data in four slums, where residents were questioned on their interactions with healthcare services, and providers were surveyed by our team. We find that people tend to bypass more informal local services to access more formal providers, especially public hospitals. This implies that public hospitals, which tend to incur higher access costs, have the highest perceived quality (i.e., people are more willing to trade cost and convenience to visit these services). Our findings therefore provide evidence that can support the 'crowding out' hypothesis first suggested in a 2016 Lancet Series on healthcare provision in LMICs.

Identifiers

PMID36962860
PMCPMC10022014

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LicenceCC BY
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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.