Launching the Quality Outcomes Database Tumor Registry: rationale, development, and pilot data

Author:

Asher Anthony L.12,Khalafallah Adham M.3,Mukherjee Debraj3,Alvi Mohammed Ali4,Yolcu Yagiz U.4,Khan Inamullah5,Pennings Jacquelyn S.56,Davidson Claudia A.56,Archer Kristin R.56,Moshel Yaron A.7,Knightly John7,Roguski Marie8,Zacharia Brad E.9,Harbaugh Robert E.9,Kalkanis Steven N.10,Bydon Mohamad4

Affiliation:

1. Neuroscience and Levine Cancer Institutes, Atrium Health;

2. Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina;

3. Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland;

4. Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota;

5. Department of Orthopaedic Surgery, Center for Musculoskeletal Research, Vanderbilt University School of Medicine;

6. Department of Physical Medicine and Rehabilitation, Osher Center for Integrative Medicine, Vanderbilt University Medical Center, Nashville, Tennessee;

7. Atlantic Neurosurgical Specialists, Summit, New Jersey;

8. Department of Neurosurgery, Tufts University School of Medicine, Boston, Massachusetts;

9. Department of Neurosurgery, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania; and

10. Department of Neurosurgery, Neuroscience Institute, Henry Ford Hospital, Detroit, Michigan

Abstract

OBJECTIVE Neurosurgeons generate an enormous amount of data daily. Within these data lie rigorous, valid, and reproducible evidence. Such evidence can facilitate healthcare reform and improve quality of care. To measure the quality of care provided objectively, evaluating the safety and efficacy of clinical activities should occur in real time. Registries must be constructed and collected data analyzed with the precision akin to that of randomized clinical trials to accomplish this goal. METHODS The Quality Outcomes Database (QOD) Tumor Registry was launched in February 2019 with 8 sites in its initial 1-year pilot phase. The Tumor Registry was proposed by the AANS/CNS Tumor Section and approved by the QOD Scientific Committee in the fall of 2018. The initial pilot phase aimed to assess the feasibility of collecting outcomes data from 8 academic practices across the United States; these outcomes included length of stay, discharge disposition, and inpatient complications. RESULTS As of November 2019, 923 eligible patients have been entered, with the following subsets: intracranial metastasis (17.3%, n = 160), high-grade glioma (18.5%, n = 171), low-grade glioma (6%, n = 55), meningioma (20%, n = 184), pituitary tumor (14.3%, n = 132), and other intracranial tumor (24%, n = 221). CONCLUSIONS The authors have demonstrated here, as a pilot study, the feasibility of documenting demographic, clinical, operative, and patient-reported outcome characteristics longitudinally for 6 common intracranial tumor types.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

Genetics,Animal Science and Zoology

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