Primary Health Care attributes in the context of indigenous health.


Journal

Revista brasileira de enfermagem
ISSN: 1984-0446
Titre abrégé: Rev Bras Enferm
Pays: Brazil
ID NLM: 7910105

Informations de publication

Date de publication:
2020
Historique:
received: 02 09 2019
accepted: 01 11 2019
entrez: 16 7 2020
pubmed: 16 7 2020
medline: 2 4 2021
Statut: ppublish

Résumé

to assess the attributes of Primary Health Care from the perspective of health professionals, comparing services in the Special Indigenous Health District and the Municipal Health Offices. a cross-sectional study in the Upper Rio Negro region, State of Amazonas, with 116 professionals. The data were collected through the Primary Care Assessment Tool. Scores were categorized (≥ 6.6) - strong orientation and (<6.6) - low orientation. The chi-square and maximum likelihood test for crossover analysis. The comparison between professionals the Kruskal-Wallis Test. a higher overall score was observed in the Indigenous Health District (7.2). The same trend was observed individually in the essential and derived attributes. this work may support strategies that positively impact the management model and work processes from the perspective of strengthening the primary care offered to the population from Rio Negro.

Identifiants

pubmed: 32667395
pii: S0034-71672020000500189
doi: 10.1590/0034-7167-2019-0641
pii:
doi:

Types de publication

Journal Article

Langues

por eng

Pagination

e20190641

Auteurs

Esron Soares Carvalho Rocha (ESC)

Universidade Federal do Amazonas, Manaus, Amazonas, Brazil.

Noeli das Neves Toledo (NDN)

Universidade Federal do Amazonas, Manaus, Amazonas, Brazil.

Rizioléia Marina Pinheiro Pina (RMP)

Universidade Federal do Amazonas, Manaus, Amazonas, Brazil.

Márcia Cristina Rodrigues Fausto (MCR)

Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brazil.

Ana Luiza D'Viana (AL)

Universidade de São Paulo, São Paulo, São Paulo, Brazil.

Rúbia Aparecida Lacerda (RA)

Universidade de São Paulo, São Paulo, São Paulo, Brazil.

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Classifications MeSH