Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
Revista de Salud Pública
versión impresa ISSN 0124-0064
Resumen
FANTINEL RUIZ, Luciana et al. Satisfaction of pregnant women during dental consults in Brazilian Unified Health System. Rev. salud pública [online]. 2021, vol.23, n.5, pp.1-. Epub 08-Ago-2022. ISSN 0124-0064. https://doi.org/10.15446/rsap.v23n5.80458.
Objective
The study aimed to verify the rate of satisfaction among pregnant women with dental consults performed in the Brazilian Unified Health System (BUHS), and associated factors.
Methodology
The design of the study was cross-sectional. To collect data a questionnaire approaching variables sociodemographic and relationship whit pregnancy were used. The data gathering was realized across interviews face to face in a maternity hospital in the metropolitan region of Porto Alegre-RS-Brazil. The chi-square test and Poisson regression with robust variance (p<0.05) were used for the bivariate and multivariate analyses.
Results
A total of 302 pregnant women were interviewed, 50% (n=151) performed dental consults, and 86% (131) related that they were satisfied with the consult. In the multivariate analysis it was found that the variable evaluating prenatal visits as good increased the likelihood of women expressing satisfaction with the outcome variable by 14% [Prevalence Ratio (PR) =1.14; 95% Confidence Interval (CI): 1.01-1.27].
Conclusions
The present study suggests that a high satisfaction rate with dental consult could be due to the highest satisfaction in prenatal consults performed in primary health care units, materializing the relationship of trust/connection between professional and user. This variable can be considered by workers and health managers during estrategic planning, performance, and evaluation of health policies.
Palabras clave : Pregnancy; community health systems; patient satisfaction; community dentistry (source: MeSH, NLM).