Evidence map›Paper›PMID 41221908›Full record

ArticleCadernos de saude publica2025

Measuring and characterizing the quality of child care in Brazilian primary health care: a latent class analysis.

Maria Del Pilar Flores-Quispe, Michelle Passos, Josemir Almeida, Ythalo Santos, Rosana Aquino, Anya Pimentel Gomes Fernandes Vieira-Meyer, Leandro da Luz, Eduarda Dos Anjos, Acácia de Lima, Valentina Martufi and 5 more

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Maria Del Pilar Flores-QuispeCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0003-1472-7350
Michelle PassosCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0002-4387-2234
Josemir AlmeidaCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0002-1164-6259
Ythalo SantosCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0002-2577-5203
Rosana AquinoInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil.ORCID 0000-0003-3906-5170
Anya Pimentel Gomes Fernandes Vieira-MeyerFiocruz Ceará, Eusébio, Brasil.ORCID 0000-0003-4237-8995
Leandro da LuzSecretaria de Gestão do Trabalho e da Educação na Saúde, Ministério da Saúde, Brasília, Brasil.ORCID 0000-0002-3566-3117
Eduarda Dos AnjosCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0003-4322-236X
Acácia de LimaCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0003-4015-3768
Valentina MartufiCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0001-6120-0629
Naiá OrtelanCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0001-6535-748X
Maria Yury IchiharaCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0001-8590-6212
Mauricio Lima BarretoCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0002-0215-4930
Leila AmorimInstituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Brasil.ORCID 0000-0002-1112-2332
Elzo Pereira Pinto JuniorCentro de Integração de Dados e Conhecimentos para Saúde, Fiocruz Bahia, Salvador, Brasil.ORCID 0000-0002-6977-2071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to characterize the quality of child health care and explore its relationship with municipal characteristics. Using data from the external assessment of the first cycle of the Brazilian National Program for Access and Quality Improvement in Primary Care (PMAQ-AB, acronym in Portuguese), this cross-sectional study evaluated 16,566 Family Health Strategy teams. In total, nine binary indicators were created based on recommendations from the Brazilian Ministry of Health. We employed latent class analysis and multinomial logistic regression to assess the quality of care and its association with region and the Brazilian Deprivation Index. Three patterns of quality of care were identified: high, intermediate, and low adequacy. The "high adequacy" pattern included 22.5% of teams, "intermediate adequacy" 60.2%, and "low adequacy" only 17.3%. Teams in the Northeast Region were over twice as likely to belong to the "high adequacy" pattern (OR = 2.34; 95%CI: 1.15-4.76) compared with those in the Central-West Region. For teams located in municipalities with moderate and low deprivation, the chance of belonging to the "high adequacy" pattern was 2.04 (95%CI: 1.44-2.89) and 9.08 (95%CI: 4.54-18.14) times higher, respectively, compared with the high deprivation municipalities. This study identified three patterns of quality of child care, with most teams characterized by an "intermediate adequacy" pattern. The quality of care was associated with the municipality's characteristics. The methodology used in this study proved effective in characterizing the quality of care in a more consistent way.

Indexed as

Child Health ServicesPrimary Health CareQuality ImprovementQuality Indicators, Health CareAdolescentBrazilChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornLatent Class AnalysisLogistic ModelsMale

Identifiers

PMID41221908
PMCPMC12604818

What OpenQuestion holds

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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.