• 作者：J.M. Aranaz-Andr&#233 ; s^a ; ^{aranaz_jes@gva.es} ; C. Aibar-Remó ; n^b ; R. Limó ; n-Ramí ; rez^a ; A. Amarilla^c ; F.R. Restrepo^d ; O. Urroz^e ; O. Sarabia^f ; R. Inga^g ; A. Santivañ ; ez^h ; J. Gonseth-Garcí ; aⁱ ; I. Larizgoitia-Jauregui^j ; Y. Agra-Varela^k ; E. Terol-Garcí ; a^k
• 关键词：Gestió ; n de riesgos sanitarios ; Seguridad del paciente ; Calidad asistencial
• 刊名：Revista de Calidad Asistencial
• 出版年：2011
• 期刊代码：pca305_1134282X
• 类别：med
• 出版时间：May-June 2011
• 卷：26
• 期：3
• 页码：194-200
• 文件大小：308 K

Objectives

To describe the methodological characteristics of the IBEAS study: adverse events prevalence in Latin American hospitals, with the aim of analysing the magnitude, significance and impact of adverse events (AE); to identify the main problems associated with patient safety AE; to increase the capacity of professionals involved in patient safety; and the setting up of patient safety agendas in the participating countries.

Methods

A patient safety study launched in 35 Latin American hospitals through the analysis of AE in 5 countries: Argentina, Colombia, Costa Rica, Mexico and Peru, using a cross-sectional study using a review of clinical records as the main method.

Results

The implications of using a cross-sectional design when studying AE are described, in terms of resources required, internal validity and usefulness related to risk management.

Conclusions

The cross-sectional design seems an efficient methodology in terms of time and resources spent, as well as being easy to carry out. Although the cross-sectional design does not review the all hospital episodes, it is able to provide a reliable estimate of prevalence and to support a surveillance system. Because of a possible survival bias, it is likely that the AE which led to hospital admissions will be overestimated, as well as the health related infections or those adverse events which are difficult to identify if the patient is not examined (e.g. contusions). Communication with the ward staff (if the patient is still hospitalised) help in finding the causality and their prevention.