Children’s health care in the care network for people with disabilities in Brazil: a multicenter study

Abstract The aim of this study was to identify factors associated with early identification of disabilities and developmental follow-up of children in primary health care (PHC) services under the Care Network for People with Disabilities (RCPCD). We conducted a cross-sectional study using data from a multicenter study undertaken in eight states. The data were collected using a structured questionnaire answered by PHC professionals with degree-level qualifications selected using random sampling and stratified by state and municipality. Poisson regression with robust variance was performed for the two outcomes. Of the 1,488 workers in the final sample, 63.6% performed early identification of disabilities and 49% provided developmental follow-up. Family health teams performed early identification of disabilities and follow-up more than traditional model teams, and expanded family health teams provided developmental follow-up more than both these teams. The factors that showed the strongest association with identification and developmental follow-up were profession, working in a family health team and knowledge of the RCPCD.

Authors

Institutions

Publication Details

Journal
Ciência & Saúde Coletiva
Published
2024-08-01
DOI
https://doi.org/10.1590/1413-81232024298.06802023en
Primary Topic
Maternal and Neonatal Healthcare
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Children’s health care in the care network for people with disabilities in Brazil: a multicenter study

Ana Carolina Basso Schmitt, Bianca Larissa Lesca de Oliveira, Ralf Braga Barroso, Tiótrefis Gomes Fernandes et al.
Ciência & Saúde Coletiva
Maternal and Neonatal Healthcare
article

Children’s health care in the care network for people with disabilities in Brazil: a multicenter study

Ana Carolina Basso Schmitt, Bianca Larissa Lesca de Oliveira, Ralf Braga Barroso, Tiótrefis Gomes Fernandes, Ayrles Silva Gonçalves Barbosa Mendonça, Kátia Suely Queiroz Silva Ribeiro
article en

Abstract

Abstract The aim of this study was to identify factors associated with early identification of disabilities and developmental follow-up of children in primary health care (PHC) services under the Care Network for People with Disabilities (RCPCD). We conducted a cross-sectional study using data from a multicenter study undertaken in eight states. The data were collected using a structured questionnaire answered by PHC professionals with degree-level qualifications selected using random sampling and stratified by state and municipality. Poisson regression with robust variance was performed for the two outcomes. Of the 1,488 workers in the final sample, 63.6% performed early identification of disabilities and 49% provided developmental follow-up. Family health teams performed early identification of disabilities and follow-up more than traditional model teams, and expanded family health teams provided developmental follow-up more than both these teams. The factors that showed the strongest association with identification and developmental follow-up were profession, working in a family health team and knowledge of the RCPCD.

Ciência & Saúde ColetivaVol. 29(8)
Universidade Federal da Paraíba (BR), Universidade de São Paulo (BR), Universidade Brasil (BR), Universidade Federal do Amazonas (BR)
Universidade Federal do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Quality Education
Openalex Percentile: Top 78%
Maternal and Neonatal Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.