Testing the Effects of an Algorithm for Neuropathic Pain on Patient and System Outcomes
The overall purpose of this project is to improve nurse skills regarding neuropathic pain (NP) assessment, treatment and referral practices through implementation of an evidence-based algorithm and to improve selected patient outcomes as a result of algorithm use.
|Study Design:||Observational Model: Case-Only
Time Perspective: Prospective
|Official Title:||Testing the Effects of an Algorithm for Neuropathic Pain on Patient and System Outcomes|
- To implement an evidence based screening, assessment, treatment, and referral guideline for hematology/oncology patients with NP receiving care [ Time Frame: outcome measures will consist of the NPVAS, and a PPCPS adapted rom the original project. Adequate satisfaction will be defined as 25% or mor of all patients reporting being very or completely satisfied as measured by PPCPS ] [ Designated as safety issue: No ]
|Study Start Date:||August 2005|
|Study Completion Date:||December 2011|
|Primary Completion Date:||September 2010 (Final data collection date for primary outcome measure)|
Neuropathic pain (NP) is defined as pain that arises from injury, disease or dysfunction of the central or peripheral nervous system. For the patient focused phase of the project NP treatment will be guided via the Peripheral Neuropathy Treatment Algorithm. Patients will receive algorithm-specific treatment for 12 weeks.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00130130
|United States, New Hampshire|
|Dartmouth Hitchcock Medical Center|
|Lebanon, New Hampshire, United States, 03756|
|Principal Investigator:||Ellen Lavoie-Smith, ARNP||Dartmouth-Hitchcock Medical Center|