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Distributive justice criteria and social categorization processes predict healthcare allocation bias

2023Artigo científico Acesso aberto
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dc.contributor.authorMadeira, Filipa
dc.contributor.authorBú, Emerson Araújo Do
dc.contributor.authorFreitas, Gonçalo
dc.contributor.authorPereira, Cicero Roberto
dc.date.accessioned2022-12-12T10:35:12Z
dc.date.available2022-12-12T10:35:12Z
dc.date.issued2023
dc.description.abstractObjectives Drawing on theories of distributive justice and intergroup discrimination, we examined how much distributive justice criterion and racial group membership contribute to bias in healthcare allocation decisions, by testing a theoretical model that specifies perceived stereotypicality and individual responsibility as a serial mediation process in the relationship between disease's contraction controllability (controllable vs. non-controllable) and bias in medical decision-making. Method White Portuguese medical students (N = 213) participated in an online experimental study conducted in two phases. In phase 1, we manipulated the cause of disease contagion and the salience of patient's racial categorization, and measured the stereotypicality of behaviour. In phase 2, we assessed perceived responsibility and likelihood of recommending medical treatment. Results Controllable (vs. non-controllable) contraction behaviours in phase 1 were perceived as more stereotypic. As a spillover effect, more stereotypical behaviours in phase 1 predicted more patient's responsibility for their disease in phase 2. Importantly, controllable behaviours of disease contraction in phase 1 negatively affected recommendations for medical treatment in phase 2; and this negative effect was serially mediated by the stereotypicality of behaviour and patient responsibility. Furthermore, patients' skin colour moderated this process, meaning that perceptions of controllable behaviour as more stereotypic were stronger for Black than for White patients. Conclusions This research shows how stereotyping and social categorization bias allocation decisions through the patient's level of responsibility in decision-making processes. The findings are discussed in light of principles of distributive justice and the literature on intergroup relations with respect to racial disparities in health care.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMadeira, F., Do Bú, E. A., Freitas, G., & Pereira, C. R. (2023). Distributive justice criteria and social categorization processes predict healthcare allocation bias. British Journal of Health Psychology, 28(2), pp. 552-566. (Published online December 2022)pt_PT
dc.identifier.doi10.1111/bjhp.12640pt_PT
dc.identifier.eissn2044-8287
dc.identifier.urihttp://hdl.handle.net/10451/55371
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWiley-Blackwellpt_PT
dc.relationNormas Sociaisi e Decisões Socialmente Críticas face a imigrantes
dc.subjectperceived responsibilitypt_PT
dc.subjectdistributive justice principlespt_PT
dc.subjecthealthcare allocation decisionspt_PT
dc.subjectintergroup discriminationpt_PT
dc.subjectstereotypespt_PT
dc.titleDistributive justice criteria and social categorization processes predict healthcare allocation biaspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPD/BD/113556/2015
oaire.awardNumberPTDC/PSI-GER/30928/2017
oaire.awardTitleNormas Sociaisi e Decisões Socialmente Críticas face a imigrantes
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F113556%2F2015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FPSI-GER%2F30928%2F2017/PT
oaire.citation.titleBritish Journal of Health Psychologypt_PT
oaire.fundingStream3599-PPCDT
person.familyNameMadeira
person.familyNameDo Bú
person.familyNameFreitas
person.familyNamePereira
person.givenNameFilipa
person.givenNameEmerson
person.givenNameGonçalo
person.givenNameCicero Roberto
person.identifier.ciencia-id7C17-5134-30A1
person.identifier.ciencia-id7E11-41C5-AF56
person.identifier.ciencia-idC11D-62B6-49C4
person.identifier.ciencia-idD918-494B-6DAF
person.identifier.orcid0000-0003-4959-7947
person.identifier.orcid0000-0003-3864-3872
person.identifier.orcid0000-0001-5888-3000
person.identifier.orcid0000-0003-3406-3985
person.identifier.ridM-6011-2013
person.identifier.scopus-author-id57201006452
person.identifier.scopus-author-id36958271200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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