Evidence map›Paper›PMID 28511818›Full record

ArticleSocial science & medicine (1982)2017

"How the other half live": Lay perspectives on health inequalities in an age of austerity.

Kayleigh Garthwaite, Clare Bambra

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  3. Multimorbidity and person-centred care in a socioeconomically deprived community: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
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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

2 authors.

Kayleigh GarthwaiteInstitute of Health & Society, Newcastle University, Baddiley-Clark Building, Richardson Road, NE2 4AX United Kingdom. Electronic address: kayleigh.garthwaite@newcastle.ac.uk.
Clare BambraInstitute of Health & Society, Newcastle University, Baddiley-Clark Building, Richardson Road, NE2 4AX United Kingdom.

Funding

British Heart FoundationCancer Research UKMedical Research Council MR/K02325X/1
6 · The paper itself

Abstract

This paper examines how people living in two socially contrasting areas of Stockton on Tees, North East England experience, explain, and understand the stark health inequalities in their town. Participants displayed opinions that fluctuated between a variety of converging and contrasting explanations. Three years of ethnographic observation in both areas (2014-2017) generated explanations which initially focused closely on behavioural and individualised factors, whilst 118 qualitative interviews subsequently revealed more nuanced justifications, which prioritised more structural, material and psychosocial influences. Findings indicate that inequalities in healthcare, including access, the importance of judgemental attitudes, and perceived place stigma, would then be offered as explanations for the stark gap in spatial inequalities in the area. Notions of fatalism, linked to (a lack of) choice, control, and fear of the future, were common reasons given for inequalities across all participants. We conclude by arguing for a prioritisation of listening to, and working to understand, the experiences of communities experiencing the brunt of health inequalities; especially important at a time of austerity.

Indexed as

Health Status DisparitiesPerceptionAdultAnthropology, CulturalEconomic RecessionEnglandFemaleHumansMaleQualitative ResearchSocial ClassUrban PopulationAusterityBehaviourEthnographyFatalismHealth inequalitiesLay perspectivesUnited Kingdom

Identifiers

PMID28511818
PMCPMC5529211

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.