Comparison of two methods to estimate adverse events in the IBEAS Study (Ibero-American study of adverse events): cross-sectional versus retrospective cohort design
Por:
Aranaz Andrés JM, Limón Ramírez R, Aibar Remón C, Gea-Velázquez de Castro MT, Bolúmar F, Hernández-Aguado I, López Fresneña N, Díaz-Agero Pérez C, Terol García E, Michel P, Sousa P, Larizgoitia Jauregui I and IBEAS Teamwork
Publicada:
1 oct 2017
Categoría:
Medicine (miscellaneous)
Resumen:
Background Adverse events (AEs) epidemiology is the first step to improve practice in the healthcare system. Usually, the preferred method used to estimate the magnitude of the problem is the retrospective cohort study design, with retrospective reviews of the medical records. However this data collection involves a sophisticated sampling plan, and a process of intensive review of sometimes very heavy and complex medical records. Cross-sectional survey is also a valid and feasible methodology to study AEs.
Objectives The aim of this study is to compare AEs detection using two different methodologies: crosssectional versus retrospective cohort design.
Setting Secondary and tertiary hospitals in five countries: Argentina, Colombia, Costa Rica, Mexico and Peru.
Participants The IBEAS Study is a cross-sectional survey with a sample size of 11 379 patients. The retrospective cohort study was obtained from a 10% random sample proportional to hospital size from the entire IBEAS Study population.
Methods This study compares the 1-day prevalence of the AEs obtained in the IBEAS Study with the incidence obtained through the retrospective cohort study.
Results The prevalence of patients with AEs was 10.47% (95% CI 9.90 to 11.03) (1191/11 379), while the cumulative incidence of the retrospective cohort study was 19.76% (95% CI 17.35% to 22.17%) (215/1088). In both studies the highest risk of suffering AEs was seen in Intensive Care Unit (ICU) patients. Comorbid patients and patients with medical devices showed higher risk.
Conclusion The retrospective cohort design, although requires more resources, allows to detect more AEs than the cross-sectional design.
Filiaciones:
Aranaz Andrés JM:
Department of Preventive Medicine and Public Health, Hospital Universitario Ramón y Cajal, Madrid, Spain
Center of Biomedical Network Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
Ramóny Cajal Biomedical Research Institute (IRYCIS), Madrid, Spain
La Rioja International University (UNIR), Logroño, Spain
:
Department of Preventive Medicine and Quality of Healthcare, Hospital de la Plana, Castellón, Spain
Aibar Remón C:
Department of Preventive Medicine and Public Health, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
Aragón Healthcare Research Institute (IIS), Zaragoza, Spain
:
Department of Preventive Medicine and Quality of Healthcare, Hospital Universitari Sant Joan d'Alacant, Sant Joan d'Alacant, Spain
Department of Public Health, Science, History and Gynaecology, Miguel Hernández University, Sant Joan d'Alacant, Spain
Bolúmar F:
Center of Biomedical Network Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
Unit of Public Health, University of Alcalá, Alcalá de Henares, Madrid, Spain
Hernández-Aguado I:
Center of Biomedical Network Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
Department of Public Health, Science, History and Gynaecology, Miguel Hernández University, Sant Joan d'Alacant, Spain
López Fresneña N:
Department of Preventive Medicine and Public Health, Hospital Universitario Ramón y Cajal, Madrid, Spain
Ramóny Cajal Biomedical Research Institute (IRYCIS), Madrid, Spain
La Rioja International University (UNIR), Logroño, Spain
Díaz-Agero Pérez C:
Department of Preventive Medicine and Public Health, Hospital Universitario Ramón y Cajal, Madrid, Spain
Ramóny Cajal Biomedical Research Institute (IRYCIS), Madrid, Spain
La Rioja International University (UNIR), Logroño, Spain
Terol García E:
General Direction SANCO, Unit D2 Health Care Systems, Brussels, Belgium
Michel P:
Centre Hospitalier Universitaire de Lyon, Université Claude Bernard Lyon 1, Lyon, France
Sousa P:
Universidade Nova de Lisboa, Escola Nacional de Saude Publica. Centro deInvestigação em Saúde Pública-UNL, Lisboa, Portugal
Larizgoitia Jauregui I:
Director General's Office, World Health Organization, Geneva, Switzerland
Green Published, gold
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