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28 Feb

QOD Spine

QOD Spine Registries

The QOD Spine registries serve as a continuous national clinical registry for the most common neurosurgical and spine procedures and provides individual surgeons, practice groups, hospitals, and healthcare systems with an immediate infrastructure for analyzing and reporting on the quality of their care. The QOD Spine registries include Lumbar Spine, Cervical Spine, and Spinal Deformity.

QOD Lumbar Registry:

Launched in March 2012, the QOD lumbar registry is aimed at assessing the extent to which lumbar spinal surgery improves pain, disability, and quality of life. The registry will determine risk-adjusted benchmarks of surgical morbidity and comparative effectiveness of low-back treatments. The QOD Lumbar tracks all lumbar and thoracic surgical cases for patients with degenerative disease including disc herniation, spondylolisthesis, stenosis, adjacent segment disease and pseudoarthrosis. The registry collects clinical variables that allow for appropriate risk-adjustment, patient-reported outcomes, and longitudinal follow-up to determine the sustainability of treatment effects.

QOD Cervical:

The QOD Cervical Registry was established to promote quality improvement efforts directed at patients with cervical spine diseases. The QOD Cervical registry utilizes validated outcomes measures to assess the extent to which cervical spinal surgery improves pain, disability, and quality of life. The QOD Cervical registry tracks all cervical surgical cases for patients with degenerative disease including disc herniation, stenosis (foraminal/central), instability, pseudoarthrosis, and adjacent segment disease. The registry was launched in March 2013 in collaboration with the Cervical Spine Research Society (CSRS) and AANS/CNS Section on Disorders of the Spine and Peripheral Nerves (DSPN).

QOD Spinal Deformity:

Launched in January 2015, the QOD Spinal Deformity registry initially focused on non-complex deformity cases, tracking kyphosis and scoliosis patients. The QOD Deformity registry has expanded to also include complex deformity cases and imaging. The registry tracks all deformity surgical cases for patients with scoliosis, kyphosis, and spondylolisthesis. The QOD Deformity registry was developed in collaboration with the AANS/CNS Section on Disorders of the Spine and Peripheral Nerves (DSPN) and the Scoliosis Research Society (SRS).

Benefits of Joining North America’s Largest Surgical Spine Registry

More than 100 active sites already participate in the QOD registry programs using the data for quality improvement and to publish research. When you access and contribute to this data, you give your organization an edge in quality patient care and position your data reporting for the future. See manuscripts representing QOD’s contributions in the fields of neurosurgery and other related fields here.

Current QOD participants also benefit from using the registries to:

  • Identify practice gaps through established benchmarks;
  • Participate in structured quality improvement projects and studies;
  • Negotiate with third-party payors;
  • Meet MIPS reporting requirements and avoid negative payment adjustments;
  • Publish and analyze outcomes from national aggregate data;
  • Fulfill Part IV reporting requirements for the American Board of Neurological Surgeons (ABNS) Maintenance of Certification (MOC) program;
  • And, coming in 2018, make data-driven decisions with the QOD Risk Calculator.

Join QOD

NeuroPoint Alliance (NPA) partners with Vanderbilt University Medical Center (VUMC) to manage the collection and analysis of standardized data across neurological practices. The NPA has also adopted the REDCap™ (Research Electronic Data Capture) platform, which provides comprehensive data services for the QOD project.

Contact NPA for more information or if you are interested in developing a new module.

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About Neuropoint

NeuroPoint Alliance, Inc. (NPA) is a not-for-profit corporation created to coordinate a variety of national projects involving the acquisition, analysis, and reporting of clinical data, using online technologies.

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