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Developing a Deep Brain Stimulation Neuromodulation Network for Parkinson Disease, Essential Tremor, and Dystonia: Report of a Quality Improvement Project

OBJECTIVE: To develop a process to improve patient outcomes from deep brain stimulation (DBS) surgery for Parkinson disease (PD), essential tremor (ET), and dystonia. METHODS: We employed standard quality improvement methodology using the Plan-Do-Study-Act process to improve patient selection, surgi...

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Detalles Bibliográficos
Autores principales: Dewey, Richard B., O’Suilleabhain, Padraig E., Sanghera, Manjit, Patel, Neepa, Khemani, Pravin, Lacritz, Laura H., Chitnis, Shilpa, Whitworth, Louis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053513/
https://www.ncbi.nlm.nih.gov/pubmed/27711133
http://dx.doi.org/10.1371/journal.pone.0164154
Descripción
Sumario:OBJECTIVE: To develop a process to improve patient outcomes from deep brain stimulation (DBS) surgery for Parkinson disease (PD), essential tremor (ET), and dystonia. METHODS: We employed standard quality improvement methodology using the Plan-Do-Study-Act process to improve patient selection, surgical DBS lead implantation, postoperative programming, and ongoing assessment of patient outcomes. RESULTS: The result of this quality improvement process was the development of a neuromodulation network. The key aspect of this program is rigorous patient assessment of both motor and non-motor outcomes tracked longitudinally using a REDCap database. We describe how this information is used to identify problems and to initiate Plan-Do-Study-Act cycles to address them. Preliminary outcomes data is presented for the cohort of PD and ET patients who have received surgery since the creation of the neuromodulation network. CONCLUSIONS: Careful outcomes tracking is essential to ensure quality in a complex therapeutic endeavor like DBS surgery for movement disorders. The REDCap database system is well suited to store outcomes data for the purpose of ongoing quality assurance monitoring.