[Detection of adverse events in thyroid and parathyroid surgery using trigger tool and Minimum Basic Data Set (MBDS)]
R Kaibel Val1, P Ruiz López2, A I Pérez Zapata3
1Clínica Hospital Povisa, Vigo, España.
Objectives:
To compare the ability of the trigger tool) and the Minimum Basic Data Set (MBDS) in detecting adverse events (AE) in hospitalized surgical patients with thyroid and parathyroid disease.
Methods:
A descriptive, cross-sectional observational study, retrospective and cross-sectional study was conducted from May 2014 to April 2015 analysing retrospectively data on of patients submitted to thyroidectomy and parathyroidectomy in order to detect AE through the identification of triggers (an event often associated to an AE) and the MBDS. triggers and AE were located by systematic review of clinical documentation. The MBDS was got from the data base. Once an AE was detected, it was characterized.
Results:
203 AE were identified in 251 patients, being the 90.04% detected by trigger tool and 10.34% by MBDS. 126 patients had at least one AE (50.2%). Without the cases in which uncontrolled pain was the only AE, the percentage of patients that suffering AE was 38.65%. 187 AE were considered preventable and 16 AE were considered unpreventable. The trigger tool and the MBDS demonstrated a sensitivity of 91.27 and 13.49%, a specificity of 4.8 and 100%, a positive predictive value of 49,15 and 100%, and a negative predictive value of 35.29 and 53.42%, respectively. The triggers with more predictive power in AE detection were «antiemetic administration» and «calcium administration».
Conclusions:
Trigger tool shows higher sensitivity for detecting AE than the MBDS. All the detected AE were considered low severity and most of them were preventable.
Insights
The trigger tool is more effective than the Minimum Basic Data Set (MBDS) for detecting adverse events (AE) in surgical patients with thyroid and parathyroid disease. Most identified AEs were preventable and of low severity.
Area of Science:
- Healthcare Quality Improvement
- Patient Safety Research
- Surgical Outcomes Analysis
Background:
- Adverse events (AE) in hospitalized patients can impact outcomes and increase healthcare costs.
- Accurate detection of AEs is crucial for implementing effective patient safety interventions.
- Existing methods for AE detection have varying sensitivities and specificities.
Purpose of the Study:
- To compare the efficacy of the trigger tool and the Minimum Basic Data Set (MBDS) in identifying adverse events (AEs).
- To assess AE detection in hospitalized surgical patients with thyroid and parathyroid disease.
Main Methods:
- A retrospective, cross-sectional observational study analyzed data from May 2014 to April 2015.
- Patients undergoing thyroidectomy and parathyroidectomy were included.
- Adverse events were identified using a trigger tool and the MBDS through systematic clinical documentation review.
Main Results:
- 203 AEs were identified in 251 patients; 90.04% were detected by the trigger tool versus 10.34% by MBDS.
- The trigger tool demonstrated higher sensitivity (91.27%) compared to MBDS (13.49%).
- MBDS showed higher specificity (100%) and positive predictive value (100%) than the trigger tool.
Conclusions:
- The trigger tool is significantly more sensitive for detecting adverse events in this patient population.
- The majority of detected AEs were of low severity and considered preventable.
- Specific triggers like "antiemetic administration" and "calcium administration" showed high predictive power for AE detection.
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