TY - JOUR
T1 - Psychometric properties of the reduced version of the Primary Care Assessment Tool (PCATool)
AU - Menegazzo, Gabriele Rissotto
AU - Fagundes, Maria Laura Braccini
AU - Amaral Júnior, Orlando Luiz do
AU - Bastos, Lucelen Fontoura
AU - Cunha, Amanda Ramos da
AU - Neves, Matheus
AU - Castilhos, Eduardo Dickie de
AU - D'Avila, Otávio Pereira
AU - Giordani, Jessye Melgarejo do Amaral
AU - Hugo, Fernando Neves
PY - 2024
Y1 - 2024
N2 - OBJECTIVE: This cross-sectional study aimed to evaluate the psychometric properties of the reduced version of the Primary Care Assessment Tool (PCATool) for adult patients in the Brazilian National Health Survey 2019, a nationally representative population-based study. METHODS: The reduced version of PCATool-adults measures the presence and extent of the following attributes: degree of affiliation; first-contact access; longitudinality; care coordination; comprehensiveness; family orientation; and community orientation. Exploratory and Confirmatory Factor Analysis were performed. RESULTS: The final sample consisted of 9,396 individuals. The PCATool latent variable for adults was related to two questionnaire items, one referring to the Degree of Affiliation attribute and the other to the Community Orientation attribute. Additionally, five latent variables, formed by 21 items, identified the other five attributes through standardized factor loadings. CONCLUSION: The reduced version of PCATool-Adult has good psychometric properties and captures the attributes of Primary Health Care.
AB - OBJECTIVE: This cross-sectional study aimed to evaluate the psychometric properties of the reduced version of the Primary Care Assessment Tool (PCATool) for adult patients in the Brazilian National Health Survey 2019, a nationally representative population-based study. METHODS: The reduced version of PCATool-adults measures the presence and extent of the following attributes: degree of affiliation; first-contact access; longitudinality; care coordination; comprehensiveness; family orientation; and community orientation. Exploratory and Confirmatory Factor Analysis were performed. RESULTS: The final sample consisted of 9,396 individuals. The PCATool latent variable for adults was related to two questionnaire items, one referring to the Degree of Affiliation attribute and the other to the Community Orientation attribute. Additionally, five latent variables, formed by 21 items, identified the other five attributes through standardized factor loadings. CONCLUSION: The reduced version of PCATool-Adult has good psychometric properties and captures the attributes of Primary Health Care.
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U2 - 10.1590/1980-549720240057
DO - 10.1590/1980-549720240057
M3 - Article
C2 - 39699476
AN - SCOPUS:85213166180
SN - 1415-790X
VL - 27
SP - e240057
JO - Revista Brasileira de Epidemiologia
JF - Revista Brasileira de Epidemiologia
ER -