Kaare Meier1, Lone Nikolajsen, Morten Flink, Ronnie Simonsen, Ioanna Milidou, Troels Staehelin Jensen, Jens Christian Sørensen. 1. Danish Pain Research Center, Aarhus University Hospital, Aarhus, Denmark; Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark; Department of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark; ITmedico, Aarhus, Denmark; Perinatal Epidemiology Research Unit, Aarhus University Hospital, Aarhus, Denmark; and Department of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Abstract
OBJECTIVES: Spinal cord stimulation (SCS) is increasingly gaining widespread use as a treatment for chronic pain. A widely used electronic registry could play a pivotal role in improving this complex and cost-intensive treatment. We aimed to construct a comprehensive, universally available data base for SCS. MATERIALS AND METHODS: The design considerations behind a new online data base for SCS are presented; basic structure, technical issues, research applications, and future perspectives are described. RESULTS: The Aarhus Neuromodulation Database covers core SCS treatment parameters, including procedure-related details and complications, and features recording of key success parameters such as pain intensity, work status, and quality of life. It combines easy access to patient information with exhaustive data extraction options, and it can readily be adapted and expanded to suit different needs, including other neuromodulation treatment modalities. CONCLUSIONS: We believe that the data base described in this article offers a powerful and versatile data collection tool suited for both clinicians and researchers in the field. The basic data base structure is immediately available on a no-cost basis, and we invite our colleagues to make use of the data base as part of the efforts to further the field of neuromodulation. Â
OBJECTIVES: Spinal cord stimulation (SCS) is increasingly gaining widespread use as a treatment for chronic pain. A widely used electronic registry could play a pivotal role in improving this complex and cost-intensive treatment. We aimed to construct a comprehensive, universally available data base for SCS. MATERIALS AND METHODS: The design considerations behind a new online data base for SCS are presented; basic structure, technical issues, research applications, and future perspectives are described. RESULTS: The Aarhus Neuromodulation Database covers core SCS treatment parameters, including procedure-related details and complications, and features recording of key success parameters such as pain intensity, work status, and quality of life. It combines easy access to patient information with exhaustive data extraction options, and it can readily be adapted and expanded to suit different needs, including other neuromodulation treatment modalities. CONCLUSIONS: We believe that the data base described in this article offers a powerful and versatile data collection tool suited for both clinicians and researchers in the field. The basic data base structure is immediately available on a no-cost basis, and we invite our colleagues to make use of the data base as part of the efforts to further the field of neuromodulation. Â
Authors: David M Hedges; John C Hegman; Jefferson R Brown; Jack T Wilburn; Brian E Chapman; Christopher R Butson Journal: Front Neuroinform Date: 2020-09-18 Impact factor: 4.081
Authors: Jean-Pierre Van Buyten; Frank Wille; Iris Smet; Carin Wensing; Jennifer Breel; Edward Karst; Marieke Devos; Katja Pöggel-Krämer; Jan Vesper Journal: Neuromodulation Date: 2017-08-18