Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study
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 hypot...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-02-01
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| Series: | Patient Safety in Surgery |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13037-021-00316-3 |
| _version_ | 1819274975174983680 |
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| author | Ana Isabel Pérez Zapata Elías Rodríguez Cuéllar Marta de la Fuente Bartolomé Cristina Martín-Arriscado Arroba María Teresa García Morales Carmelo Loinaz Segurola Manuel Giner Nogueras Ángel Tejido Sánchez Pedro Ruiz López Eduardo Ferrero Herrero The Research Collaboration Group |
| author_facet | Ana Isabel Pérez Zapata Elías Rodríguez Cuéllar Marta de la Fuente Bartolomé Cristina Martín-Arriscado Arroba María Teresa García Morales Carmelo Loinaz Segurola Manuel Giner Nogueras Ángel Tejido Sánchez Pedro Ruiz López Eduardo Ferrero Herrero The Research Collaboration Group |
| author_sort | Ana Isabel Pérez Zapata |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T23:16:58Z |
| format | Article |
| id | doaj.art-41c08009b3ef41068bb8df5c65ba78fb |
| institution | Directory Open Access Journal |
| issn | 1754-9493 |
| language | English |
| last_indexed | 2024-12-23T23:16:58Z |
| publishDate | 2022-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Patient Safety in Surgery |
| spelling | doaj.art-41c08009b3ef41068bb8df5c65ba78fb2022-12-21T17:26:29ZengBMCPatient Safety in Surgery1754-94932022-02-0116111010.1186/s13037-021-00316-3Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation studyAna Isabel Pérez Zapata0Elías Rodríguez Cuéllar1Marta de la Fuente Bartolomé2Cristina Martín-Arriscado Arroba3María Teresa García Morales4Carmelo Loinaz Segurola5Manuel Giner Nogueras6Ángel Tejido Sánchez7Pedro Ruiz López8Eduardo Ferrero Herrero9The Research Collaboration GroupGeneral and Gastrointestinal Department at 12 de Octubre University HospitalGeneral and Gastrointestinal Department at 12 de Octubre University HospitalGeneral and Gastrointestinal Department at Infanta Elena University HospitalBiomedical Research Fundation, 12 de Octubre University HospitalBiomedical Research Fundation, 12 de Octubre University HospitalGeneral and Gastrointestinal Department at 12 de Octubre University HospitalMadrid Proffesor Surgery Department at Medicine Faculty. Complutense University, San Carlos University HospitalUrology Department, 12 de Octubre University HospitalGeneral and Gastrointestinal Department at 12 de Octubre University HospitalGeneral and Gastrointestinal Department at 12 de Octubre University HospitalAbstract 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.https://doi.org/10.1186/s13037-021-00316-3Adverse eventGeneral surgery“Trigger Tool” |
| spellingShingle | Ana Isabel Pérez Zapata Elías Rodríguez Cuéllar Marta de la Fuente Bartolomé Cristina Martín-Arriscado Arroba María Teresa García Morales Carmelo Loinaz Segurola Manuel Giner Nogueras Ángel Tejido Sánchez Pedro Ruiz López Eduardo Ferrero Herrero The Research Collaboration Group Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study Patient Safety in Surgery Adverse event General surgery “Trigger Tool” |
| title | Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study |
| title_full | Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study |
| title_fullStr | Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study |
| title_full_unstemmed | Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study |
| title_short | Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study |
| title_sort | predictive power of the trigger tool for the detection of adverse events in general surgery a multicenter observational validation study |
| topic | Adverse event General surgery “Trigger Tool” |
| url | https://doi.org/10.1186/s13037-021-00316-3 |
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