eHEALS as a predictive factor of digital health information seeking behavior among Brazilian undergraduate students

Autor(es)

Lotto, Matheus ; Maschio, Kaiane Fatima ; Silva, Kimberly Kamila ; Ayala Aguirre, Patricia Estefania ; Cruvinel, Agnes ; Cruvinel, Thiago

• Tipo de documento: Artigo Científico
• Fonte: HEALTH PROMOTION INTERNATIONAL; v. N/A, p. 11-pg., 2021-10-29.

Resumo

Lay Summary The eHealth Literacy Scale (eHEALS) is a self-fulfilling tool designed to determine individuals' levels of electronic health literacy. It helps to determine how people deal with electronic health-related information, being useful to identify potential difficulties of accessing, evaluating and using online health information, with potential to support the planning of educational interventions. This study aimed to adapt and validate the eHealth Literacy Scale (eHEALS) for being applied to Brazilian Portuguese native speakers. Five hundred twenty-one undergraduate students answered the adapted version of the eHEALS, the General Perceived Self-Efficacy Scale (GSES), the Oral Health Impact Profile-14 (OHIP-14), and sociodemographic and health-related questions. The tool showed sufficient consistency and stability, with the detection of higher eHEALS scores among white and younger people who reported a frequent interest for seeking digital health information, students from health sciences courses, those with more years of graduation, and who their fathers were working in specialized functions. Also, the students with higher eHealth literacy scores were more likely to seek health information in the last 24 h. In conclusion, the eHEALS demonstrated being adequate to be applied for the Brazilian population. This study aimed to perform the cross-cultural adaptation and validation of the eHealth Literacy Scale (eHEALS) for Brazilian Portuguese. The cross-cultural adaptation was conducted through conceptual equivalence, verbatim translation, semantic, item and operational equivalence, and back-translation. Subsequently, 521 undergraduate students answered the adapted version of the eHEALS, the General Perceived Self-Efficacy Scale (GSES), the Oral Health Impact Profile-14 (OHIP-14) and sociodemographic and health-related questions. Statistical analysis was performed to determine the dimensionality, internal consistency, stability and concurrent/convergent/discriminant/predictive validities of the eHEALS (p < 0.05). The adequacy of sample size was confirmed by a non-identity correlation matrix (Bartlett's test of sphericity, p < 0.001), without influence of multicollinearity (determinant = 0.026). The confirmatory factor analysis identified four factors in agreement to the constructs namely as online searching self-efficacy, awareness of available sources, information usage ability, and critical analysis of useful information. The eHEALS displayed an excellent internal consistency (Cronbach's alpha = 0.88), a good stability (ICC = 0.71, 95% CI: 0.49-0.84), and it was significantly correlated with GSES (concurrent validity). Higher eHEALS scores were identified among (i) white and (ii) younger students, (iii) from health sciences courses, (iv) with more years of graduation, (v) who their fathers were working in specialized functions (discriminant validity), and (vi) among those who were frequently interested in digital health information (convergent validity). The students with higher eHealth literacy levels were more likely to seek health information in the last 24 h (predictive validity). In conclusion, the eHEALS demonstrated adequate psychometric properties to be applied for the Brazilian population. (AU)

• Processo FAPESP: 14/21292-2 - Tendências do volume de buscas e qualidade da informação na internet sobre dor de dente
• Beneficiário: Matheus Lotto de Almeida Souza
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica
• Processo FAPESP: 19/27242-0 - Fake news em saúde: validação de um modelo de redes neurais para detecção de desinformação em Odontopediatria por meio de reações psicofisiológicas de usuários da internet
• Beneficiário: Matheus Lotto de Almeida Souza
• Modalidade de apoio: Bolsas no Brasil - Doutorado