Literature DB >> 16206546

Nursing time to program and assess deep brain stimulators in movement disorder patients.

Karen Hunka1, Oksana Suchowersky, Susan Wood, Lorelei Derwent, Zelma H T Kiss.   

Abstract

The use of deep brain stimulation (DBS) to treat movement disorders such as Parkinson's disease, essential tremor, and dystonia is increasing. Although some published literature describes the methods for DBS programming, the time and nursing requirements to run a DBS surgical program have not been examined previously. For this study, we prospectively recorded the time required for both assessments and programming of the DBS from the preoperative period to 1 year after surgery in a variety of patients. Results showed that the mean total time spent programming the stimulator and assessing these patients ranged from 18.0-36.2 hours per patient. It took twice as long to program the stimulator in patients with Parkinson's disease as it did in patients with essential tremor or dystonia. When setting up a program for movement disorders surgery, nursing time spent on patient assessment and programming should be considered in the workload.

Entities:  

Mesh:

Year:  2005        PMID: 16206546     DOI: 10.1097/01376517-200508000-00006

Source DB:  PubMed          Journal:  J Neurosci Nurs        ISSN: 0888-0395            Impact factor:   1.230


  24 in total

1.  Current steering to control the volume of tissue activated during deep brain stimulation.

Authors:  Christopher R Butson; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2008-01       Impact factor: 8.955

2.  Multi-objective particle swarm optimization for postoperative deep brain stimulation targeting of subthalamic nucleus pathways.

Authors:  Edgar Peña; Simeng Zhang; Remi Patriat; Joshua E Aman; Jerrold L Vitek; Noam Harel; Matthew D Johnson
Journal:  J Neural Eng       Date:  2018-09-13       Impact factor: 5.379

Review 3.  Mechanisms and targets of deep brain stimulation in movement disorders.

Authors:  Matthew D Johnson; Svjetlana Miocinovic; Cameron C McIntyre; Jerrold L Vitek
Journal:  Neurotherapeutics       Date:  2008-04       Impact factor: 7.620

4.  A retrospective evaluation of automated optimization of deep brain stimulation parameters.

Authors:  Johannes Vorwerk; Andrea A Brock; Daria N Anderson; John D Rolston; Christopher R Butson
Journal:  J Neural Eng       Date:  2019-11-06       Impact factor: 5.379

5.  Particle swarm optimization for programming deep brain stimulation arrays.

Authors:  Edgar Peña; Simeng Zhang; Steve Deyo; YiZi Xiao; Matthew D Johnson
Journal:  J Neural Eng       Date:  2017-01-09       Impact factor: 5.379

6.  Kinematic optimization of deep brain stimulation across multiple motor symptoms in Parkinson's disease.

Authors:  Thomas Mera; Jerrold L Vitek; Jay L Alberts; Joseph P Giuffrida
Journal:  J Neurosci Methods       Date:  2011-04-01       Impact factor: 2.390

7.  Origins and suppression of oscillations in a computational model of Parkinson's disease.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  J Comput Neurosci       Date:  2014-08-07       Impact factor: 1.621

8.  Double-blind optimization of subcallosal cingulate deep brain stimulation for treatment-resistant depression: a pilot study.

Authors:  Rajamannar Ramasubbu; Susan Anderson; Angela Haffenden; Swati Chavda; Zelma H T Kiss
Journal:  J Psychiatry Neurosci       Date:  2013-09       Impact factor: 6.186

9.  Interactive computation and visualization of deep brain stimulation effects using Duality.

Authors:  J Vorwerk; D McCann; J Krüger; C R Butson
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2019-07-02

Review 10.  Engineering the next generation of clinical deep brain stimulation technology.

Authors:  Cameron C McIntyre; Ashutosh Chaturvedi; Reuben R Shamir; Scott F Lempka
Journal:  Brain Stimul       Date:  2014-07-30       Impact factor: 8.955

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.