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Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study

2022; BioMed Central; Volume: 16; Issue: 1 Linguagem: Inglês

10.1186/s13037-021-00316-3

1754-9493

Ana Isabel Pérez Zapata, E. Rodríguez Cuéllar, Marta de la Fuente Bartolomé, Cristina Martín‐Arriscado Arroba, Maria Teresa García Morales, Carmelo Loinaz Segurola, Manuel Giner Nogueras, Á. Tejido Sánchez, Pedro Ruiz López, Eduardo Ferrero Herrero, Antonio Zarco Pleguezuelos, Manuel Romero Simó, Albert Caballero Bouza, David Martı́nez, Juan Francés Julián Ibáñez, José M. Balibrea, Xavier Morales Sevillano, Benjamín Díaz-Zorita Aguilar, Lorena Martín-Román, Marcos Gómez Ruiz, Tamara Fernández Miguel, Carmen Cagigas Fernández, A. Moreno Bargueiras, Óscar Cano-Valderrama, Daniel Alonso Rivera, María Gutiérrez Samaniego, Manuela Elía-Guedea, Elena Córdoba Diaz, José Antonio Gracia Solanas, Angela Bañuls Matoses, Ángel Macero, José Daniel Sánchez López, María Antonia Vaquero Pérez, José Alberto Rojo López, Francisca Lima Pinto, Eneida Bra Insa, Ignacio Rodríguez Prieto, Erlinda Daniela Padilla Zegarra, Mario Franco Chacon, R Memba Ikuga, Rosa Jorba, F Alcaide Matas, P Troncoso Pereira, Víctor Soria‐Aledo, Carmen Victoria Pérez Guarinos, Sixto Genzor Rios, Miguel Ángel Dobón Rascón, Sandra Núñez Fernández, Ernesta Valerias Domínguez, Manuel García García, Vanesa Zambrana Campos, Pere Rebasa, Mariano Artés Caselles, Matías Cea Soriano, Daniel Gambí Pisonero, Santos Jiménez de los Galanes, María Dolores Frutos, Ana Delegido García, B Gómez Pérez, Carlos Montero Zorrilla, Javier Cortés Climent, Cristina Vallejo Bernad, Ruth Bustamante Mosquera, María Luisa Blázquez, Jesús Muriel López, Juan Carlos García Pérez, Juan Ocaña Jiménez, G. Crespo, Cristina Pardo Martínez, María García Nebreda, José María Fernández Cebrián, Virginia Casanova Durán, Manuel Ferrer‐Márquez, Javier Aguiló Lucía,

Quality and Safety in Healthcare

Abstract Background In spite of the global implementation of standardized surgical safety checklists and evidence-based practices, general surgery remains associated with a high residual risk of preventable perioperative complications and adverse events. This study was designed to validate the hypothesis that a new “Trigger Tool” represents a sensitive predictor of adverse events in general surgery. Methods An observational multicenter validation study was performed among 31 hospitals in Spain. The previously described “Trigger Tool” based on 40 specific triggers was applied to validate the predictive power of predicting adverse events in the perioperative care of surgical patients. A prediction model was used by means of a binary logistic regression analysis. Results The prevalence of adverse events among a total of 1,132 surgical cases included in this study was 31.53%. The “Trigger Tool” had a sensitivity and specificity of 86.27% and 79.55% respectively for predicting these adverse events. A total of 12 selected triggers of overall 40 triggers were identified for optimizing the predictive power of the “Trigger Tool”. Conclusions The “Trigger Tool” has a high predictive capacity for predicting adverse events in surgical procedures. We recommend a revision of the original 40 triggers to 12 selected triggers to optimize the predictive power of this tool, which will have to be validated in future studies.