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Development of a Surveillance System for Pediatric Hospital-Acquired Venous Thromboembolism
Laura H Brower1,2, Erin E Shaughnessy3,2, Ranjit S Chima2,2
1Divisions of Hospital Medicine and.
Insights
Accurate surveillance for pediatric hospital-acquired venous thromboembolism (VTE) is crucial. Combining multiple detection methods improved HA-VTE identification, enabling better quality improvement initiatives.
Area of Science:
- Pediatric Healthcare
- Clinical Surveillance
- Thromboembolic Disease
Background:
- Pediatric hospital-acquired venous thromboembolism (HA-VTE) presents a significant challenge.
- Existing surveillance methods lack the robustness needed to accurately determine HA-VTE rates.
- This hinders effective quality improvement efforts.
Purpose of the Study:
- To develop and implement a comprehensive surveillance strategy for HA-VTE in a pediatric hospital.
- To establish a reliable baseline rate for HA-VTE to guide quality improvement.
Main Methods:
- A multidisciplinary team developed a surveillance system integrating diagnosis codes with clinical and radiology data.
- HA-VTE events were tracked using descriptive statistics and statistical process control charts.
- Retrospective analysis evaluated the effectiveness of individual detection methods.
Main Results:
- A total of 68 HA-VTE events were identified.
- The median rate of HA-VTE increased from 0.18 to 0.34 events per 1000 patient days.
- No single detection method identified all events, highlighting the need for a combined approach.
Conclusions:
- Implementing multiple detection methods significantly enhances the timely identification of HA-VTE.
- This optimized surveillance enables the establishment of a reliable baseline rate.
- Reliable data supports targeted quality improvement initiatives to reduce HA-VTE.
Background:
Pediatric hospital-acquired (HA) venous thromboembolism (VTE) is a vexing problem with improvement efforts hampered by lack of robust surveillance methods to establish accurate rates of HA-VTE.
Methods:
At a freestanding children's hospital, a multidisciplinary team worked to develop a comprehensive surveillance strategy for HA-VTE. Starting with diagnosis codes, we implemented complementary detection methods, including clinical and radiology data, to develop a robust surveillance system. HA-VTE events were tracked by using descriptive statistics and a statistical process control chart. Detection methods were evaluated via retrospective application of each method to every identified HA-VTE. Initial detection method was tracked.
Results:
A total of 68 HA-VTE events were identified and the median number of events per 1000 patient days increased from 0.18 to 0.34. No single detection method would have identified all events. Each detection method initially identified HA-VTE events.
Conclusions:
Implementation of multiple detection methods has optimized timely detection of HA-VTE. This allows the establishment of a reliable baseline rate, enabling quality improvement efforts to address HA-VTE.
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