Developing a deep brain stimulation neuromodulationnetwork for Parkinson disease, essential tremor, and dystonia: Report of a quality improvement project

Richard B. Dewey, Padraig E. O'Suilleabhain, Manjit Sanghera, Neepa Patel, Pravin Khemani, Laura H. Lacritz, Shilpa Chitnis, Louis A. Whitworth

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numbere0164154
JournalPloS one
Volume11
Issue number10
DOIs
StatePublished - Oct 2016

ASJC Scopus subject areas

  • General

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