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Systematic review of individual-level, community-level, and healthcare system-level factors contributing to socioeconomic differences in healthcare utilisation in OECD countries with universal health coverage.
Meulman, Iris; Uiters, Ellen; Cloin, Mariëlle; Polder, Johan; Stadhouders, Niek.
Afiliação
  • Meulman I; School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands iris.meulman@rivm.nl.
  • Uiters E; Center for Public Health, Health Services and Society, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Cloin M; Center for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Polder J; School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.
  • Stadhouders N; School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.
BMJ Open ; 14(3): e080559, 2024 Mar 18.
Article em En | MEDLINE | ID: mdl-38503421
ABSTRACT

OBJECTIVES:

Countries with universal health coverage (UHC) strive for equal access for equal needs without users getting into financial distress. However, differences in healthcare utilisation (HCU) between socioeconomic groups have been reported in countries with UHC. This systematic review provides an overview individual-level, community-level, and system-level factors contributing to socioeconomic status-related differences in HCU (SES differences in HCU).

DESIGN:

Systematic review following the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines. The review protocol was published in advance. DATA SOURCES Embase, PubMed, Web of Science, Scopus, Econlit, and PsycInfo were searched on 9 March 2021 and 9 November 2022. ELIGIBILITY CRITERIA Studies that quantified the contribution of one or more factors to SES difference in HCU in OECD countries with UHC. DATA EXTRACTION AND

SYNTHESIS:

Studies were screened for eligibility by two independent reviewers. Data were extracted using a predeveloped data-extraction form. Risk of bias (ROB) was assessed using a tailored version of Hoy's ROB-tool. Findings were categorised according to level and a framework describing the pathway of HCU.

RESULTS:

Of the 7172 articles screened, 314 were included in the review. 64% of the studies adjusted for differences in health needs between socioeconomic groups. The contribution of sex (53%), age (48%), financial situation (25%), and education (22%) to SES differences in HCU were studied most frequently. For most factors, mixed results were found regarding the direction of the contribution to SES differences in HCU.

CONCLUSIONS:

SES differences in HCU extensively correlated to factors besides health needs, suggesting that equal access for equal needs is not consistently accomplished. The contribution of factors seemed highly context dependent as no unequivocal patterns were found of how they contributed to SES differences in HCU. Most studies examined the contribution of individual-level factors to SES differences in HCU, leaving the influence of healthcare system-level characteristics relatively unexplored.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aceitação pelo Paciente de Cuidados de Saúde / Cobertura Universal do Seguro de Saúde / Organização para a Cooperação e Desenvolvimento Econômico Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aceitação pelo Paciente de Cuidados de Saúde / Cobertura Universal do Seguro de Saúde / Organização para a Cooperação e Desenvolvimento Econômico Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda