Combining self-reported and objectively measured survey data to improve hypertension prevalence estimates: Portuguese experience.

Kislaya, Irina; Leite, Andreia; Perelman, Julian; Machado, Ausenda; Torres, Ana Rita; Tolonen, Hanna; Nunes, Baltazar

Kislaya, Irina; Leite, Andreia; Perelman, Julian; Machado, Ausenda; Torres, Ana Rita; Tolonen, Hanna; Nunes, Baltazar.

Afiliación

Kislaya I; Departament of Epidemiology, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal. irina.kislaya@insa.min-saude.pt.
Leite A; NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal. irina.kislaya@insa.min-saude.pt.
Perelman J; Comprehensive Health Research Center (CHRC), Universidade NOVA de Lisboa, Lisbon, Portugal. irina.kislaya@insa.min-saude.pt.
Machado A; NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal.
Torres AR; Comprehensive Health Research Center (CHRC), Universidade NOVA de Lisboa, Lisbon, Portugal.
Tolonen H; NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal.
Nunes B; Comprehensive Health Research Center (CHRC), Universidade NOVA de Lisboa, Lisbon, Portugal.

Arch Public Health ; 79(1): 45, 2021 Apr 08.

Article en En | MEDLINE | ID: mdl-33827693

Palabras clave

Bias correction; Hypertension; MIME; Misclassification error; Multiple imputation; Self-reports; Survey

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prevalence_studies / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: Arch Public Health Año: 2021 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Reino Unido

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