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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
Published on: January 22, 2011
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Launching the Quality Outcomes Database Tumor Registry: rationale, development, and pilot data.
Anthony L Asher1,2, Adham M Khalafallah3, Debraj Mukherjee3
11Neuroscience and Levine Cancer Institutes, Atrium Health.
Journal of Neurosurgery
|August 6, 2021
Summary
The Quality Outcomes Database (QOD) Tumor Registry pilot study shows feasibility in collecting real-time neurosurgical data. This supports objective quality of care assessment for brain tumors.
Area of Science:
- Neurosurgery
- Health Informatics
- Clinical Data Management
Background:
- Neurosurgery generates vast data, holding potential for healthcare reform and improved care quality.
- Real-time evaluation of clinical activities is crucial for objective quality measurement.
- High-precision data collection and analysis, similar to clinical trials, are needed for effective registries.
Purpose of the Study:
- To assess the feasibility of the Quality Outcomes Database (QOD) Tumor Registry pilot.
- To evaluate the collection of outcomes data for neurosurgical patients.
- To establish a foundation for real-time quality of care assessment in neurosurgery.
Main Methods:
- The QOD Tumor Registry was launched in February 2019, involving 8 academic sites.
- A 1-year pilot phase focused on collecting data on length of stay, discharge disposition, and inpatient complications.
- Data collection was designed with precision comparable to randomized clinical trials.
Main Results:
- The pilot successfully enrolled 923 eligible patients by November 2019.
- Key patient subsets included intracranial metastasis (17.3%), high-grade glioma (18.5%), meningioma (20%), and pituitary tumor (14.3%).
- The registry demonstrated the ability to document demographic, clinical, operative, and patient-reported outcomes.
Conclusions:
- The pilot study confirmed the feasibility of longitudinal data documentation for common intracranial tumor types.
- The QOD Tumor Registry provides a framework for real-time quality assessment in neurosurgery.
- This initiative supports evidence-based practice and healthcare improvement in neurosurgical oncology.

