Validation of the internal structure of theBrazilian Dental Vulnerability Scale
DOI:
https://doi.org/10.11606/s1518-8787.2023057005360Keywords:
Oral Health, Primary Health Care, Population Health ManagementAbstract
OBJECTIVE: Th is s tudy a imed t o e valuate e vidence of v alidity of i nternal s tructure of t he Brazilian Dental Vulnerability Scale (EVO-BR) when applied in Brazil.
METHODS: This is a psychometric study that seeks to validate a scale elaborated by evidence of internal structure. Data collection was conducted in 18 basic health units that implement the Brazilian Healthcare Planning (PAS) methodology, across the five regions of Brazil. The initial version of the EVO-BR contained 41 items that measured dental vulnerability and was applied to users of the Brazilian Unified Health System (SUS) aged 18 years or older who were in basic health units for consultation with higher education professionals. To evaluate the evidence, the following statistical analyses were performed: exploratory factor analysis, confirmatory factor analysis, and network analysis.
RESULTS: A total of 1,753 users participated in the study. To adjust the sample, we considered the factorability obtained from Kaiser-Meyer-Olkin (KMO) test = 0.65, Bartlett sphericity test = 8019.7, and a matrix determinant of 0.008. The initial parallel analysis indicated a four-dimensional model and had the items adjusted according to factor loading (ranging from 0.38 to 0.99), common factors (0.13 to 0.89), and Pratt’s measure, until the model presented congruence in the statistical and interpretative principles simultaneously. The final model contained 15 items, maintaining the four dimensions indicated by the parallel analysis, and held an explained variance of 68.56%.
CONCLUSIONS: The EVO-BR is a validated scale to measure dental vulnerability and, thus, can contribute to the organization of access to the oral health team in primary health care (PHC) by stratifying the population, as recommended in the Brazilian Healthcare Planning.
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Copyright (c) 2023 Daniele Boina de Oliveira, Flávio Rebustini, Danielle da Costa Palacio, Marcio Cardozo Paresque, Ilana Eshriqui Oliveira, Wander Barbieri, Danielle Viana Ribeiro, Debora Heller, Daiana Bomfim, Tamara Kerber Tedesco
This work is licensed under a Creative Commons Attribution 4.0 International License.