Evidence map›Paper›PMID 39337174›Full record

ArticleHealthcare (Basel, Switzerland)2024

A Decade of Monitoring Primary Healthcare Experiences through the Lens of Inequality.

M Isabel Pasarín, Maica Rodríguez-Sanz, Silvina Berra, Carme Borrell, Kátia B Rocha

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

M Isabel PasarínAgència de Salut Pública de Barcelona, 08023 Barcelona, Spain.
Maica Rodríguez-SanzAgència de Salut Pública de Barcelona, 08023 Barcelona, Spain.
Silvina BerraEscuela de Salud Pública, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba 5000, Argentina.ORCID 0000-0003-3618-7041
Carme BorrellAgència de Salut Pública de Barcelona, 08023 Barcelona, Spain.ORCID 0000-0002-1170-2505
Kátia B RochaSchool of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre 90619-900, Brazil.ORCID 0000-0001-7603-1709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care is not exempt from harboring social inequalities, including in those countries with a universal public system. The objective was to ascertain whether the population's assessment of primary care (PC) changed between 2006 and 2016, the decade that included the economic crisis of 2008, and also if it exhibited patterns of social inequality in Barcelona (Spain).

methodsThis was a cross-sectional study using Barcelona Health Surveys 2006 and 2016. Samples (4027 and 3082 respectively) comprised residents in Barcelona, over 15 years old. DEPENDENT VARIABLE: Primary Care (PC) index. INDEPENDENT VARIABLES: age, social class, and birthplace. Analyses included means and percentiles of PC index, and Somers' D test to compare the distribution of the groups.

resultsComparing 2016 with 2006, the distribution of the PC index remained in women (median of 73.3) and improved in men (from 70 to 73.3). By social class, the pattern of inequality observed in 2006 in men with perceived poor health status disappeared in 2016. Inequalities according to birthplace persisted in women, regardless of perceived health status, but disappeared in men.

conclusionsIn the 10 years between which the global economic crisis occurred, the assessment of PC did not worsen, and it did improve for men, but the study points to the need for more focus on people born abroad.

Indexed as

access to carehealth inequalitieshealth informationprimary carepublic health

Identifiers

PMID39337174
PMCPMC11431352

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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.