Browsing by Author "Costa, Andreia Silva da"
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- 1º relatório - vacinação para a COVID-19: intenção e seus preditores. Estudo na população portuguesa, em diferentes etapas do ciclo de vidaPublication . Godinho, Cristina Albuquerque; Francisco, Rita; Gaspar, Rui; Arriaga, Miguel Telo de; Costa, Andreia Silva da; Costa, Diana; António, João; Carvalho, Ana; Fonseca, Válter; Santos, Benvinda dos; Freitas, Graça
- 2º relatório - vacinação para a COVID-19: intenção e seus preditores. Estudo na população portuguesa, em diferentes etapas do ciclo de vidaPublication . Godinho, Cristina Albuquerque; Francisco, Rita; Gaspar, Rui; Arriaga, Miguel Telo de; Costa, Andreia Silva da; Costa, Diana; António, João; Carvalho, Ana; Fonseca, Válter; Freitas, Graça
- HLS19-NAV - validation of a new instrument measuring navigational health literacy in eight European countriesPublication . on behalf of the HLS Consortium; Griese, Lennert; Finbråten, Hanne S.; Francisco, Rita; Gani, Saskia M. de; Griebler, Robert; Guttersrud, Øystein; Jaks, Rebecca; Le, Christopher; Link, Thomas; Costa, Andreia Silva da; Arriaga, Miguel Telo de; Touzani, Rajae; Vrdelja, Mitja; Pelikan, Jürgen M.; Schaeffer, DorisTo manoeuvre a complex and fragmented health care system, people need sufficient navigational health literacy (NAV-HL). The objective of this study was to validate the HLS19-NAV measurement scale applied in the European Health Literacy Population Survey 2019–2021 (HLS19). From December 2019 to January 2021, data on NAV-HL was collected in eight European countries. The HLS19-NAV was translated into seven languages and successfully applied in and validated for eight countries, where language and survey method differed. The psychometric properties of the scale were assessed using confirmatory factor analysis (CFA) and Rasch modelling. The tested CFA models sufficiently well described the observed correlation structures. In most countries, the NAV-HL data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). For some countries, some items showed poor data–model fit when tested against the PCM, and some items displayed differential item functioning for selected person factors. The HLS19-NAV demonstrated high internal consistency. To ensure content validity, the HLS19-NAV was developed based on a conceptual framework. As an estimate of discriminant validity, the Pearson correlations between the NAV-HL and general health literacy (GEN-HL) scales were computed. Concurrent predictive validity was estimated by testing whether the HLS19-NAV, like general HL measures, follows a social gradient and whether it forms a predictor of general health status as a health-related outcome of general HL. In some countries, adjustments at the item level may be beneficial.
- Literacia em saúde e comunicação na promoção da adesão à vacinação contra a COVID-19Publication . Arriaga, Miguel Telo de; Costa, Andreia Silva da; Santos, Benvinda dos; Godinho, Cristina; Costa, Diana; Mendes, Diana; Mata, Francisco; Chaves, Nicole; Francisco, Rita; Gaspar, Rui; Fonseca, Válter; Freitas, Graça
- Navigational health literacyPublication . Schaeffer, Doris; Griese, Lennert; Arriaga, Miguel Telo de; Costa, Andreia Silva da; Francisco, Rita; De Gani, Saskia Maria; Jaks, Rebecca; Kučera, Zdeněk; Levin-Zamir, Diane; Link, Thomas; Mikšová, Dominika; Nowak, Peter; Pelikan, Jürgen M.; Silva, Carlota Ribeiro da; Straßmayr, Christa; Touzani, Rajae; Vrbovšek, Sanja; Vrdelja, Mitja
- Trends in delivery hospitalizations and the impact of ICD-9-CM to ICD-10-CM-PCS transition in Portugal between 2010 and 2018Publication . Camarinha, Catarina de Paraíso; Oliveira, Maria Miguel Gomes; Elias, Cecília; Nobre, Miguel de Araújo; Nicolau, Leonor Bacelar Costa; Furtado, Cristina; Costa, Andreia Silva da; Nogueira, Paulo Jorge da SilvaBackground: Hospital discharge data are essential for maternal health surveillance, clinical research, and healthcare resource allocation. In 2017, Portuguese hospitals transitioned from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the International Classification of Diseases, 10th edition, Clinical Modification and Procedure Coding System (ICD-10-CM/PCS), impacting the recording of delivery hospitalizations. This study examines trends in delivery hospitalizations from 2010 to 2018 and assesses the impact of the ICD-10-CM/PCS transition. Methods: We conducted a register-based observational cross-sectional analysis using data from the National Hospital Discharge Database, covering delivery hospitalizations in public hospitals from January 1, 2010, to December 31, 2018. Delivery episodes were identified using diagnosis codes, normal delivery codes, diagnosis-related group (DRG) codes, and procedure codes. Statistical analyses included descriptive statistics, interrupted time series with segmented regression, and Prophet forecasting models to evaluate trends and the impact of the coding transition. Results: A total of 673,978 delivery hospitalizations were recorded. The transition from ICD-9-CM to ICD-10-CM/PCS in 2017 had minimal overall impact on delivery trends. DRG codes consistently identified the majority of delivery episodes, with outcome of delivery codes and selected procedure codes showing varying trends. An increase in episodes identified by normal delivery codes and a significant decrease in episodes identified by procedure codes was observed immediately after the ICD-10 transition (p < 0.001). The Prophet model indicated improved forecast accuracy for procedure codes when including the ICD-10 transition variable. Conclusion: The transition to ICD-10-CM/PCS had a limited impact on overall delivery hospitalization trends but significantly affected procedure coding. These findings underscore the importance of considering coding system changes in healthcare data analyses. Further research should incorporate private hospital data and continuously monitor coding practices to ensure reliable health data for research and policy-making.