Computer Based Assessment and Treatment
COMBAT
1 other identifier
interventional
255
1 country
1
Brief Summary
This study aims to investigate computer based symptom assessment in an outpatient cancer population, and the use of a computer based decision support system to facilitate the diagnosis and treatment of cancer related pain. Primary hypothesis is, that this approach improves pain control and pain management in an unselected group of cancer patients in an outpatient setting.
- Improvement of average pain last 24 hours by at least 1.5 points on a 0-11 scale
- Improvement of worst pain last 24 hours by at least 1.5 points on a 0-11 scale
- An alteration in the prescribing dose of opioids in equipotent opioid dosage Secondary hypothesis is, that this system improves overall symptom control and symptom management in an unselected group of cancer patients in an outpatient setting.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2009
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2009
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2013
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2013
CompletedFirst Submitted
Initial submission to the registry
February 18, 2013
CompletedFirst Posted
Study publicly available on registry
February 20, 2013
CompletedSeptember 25, 2017
September 1, 2017
3.4 years
February 18, 2013
September 20, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
average and worst pain during the last 24 hours
\- The Brief Pain Inventory (BPI, a self-reported pain assessment tool aiming to quantify two aspects of cancer pain: Pain intensity and the functional disability as a result of cancer pain.
1 week
average and worst pain during the last 24 hours
\- The Brief Pain Inventory (BPI, a self-reported pain assessment tool aiming to quantify two aspects of cancer pain: Pain intensity and the functional disability as a result of cancer pain.
3 weeks
average and worst pain during the last 24 hours
\- The Alberta Breakthrough Pain Assessment Tool for cancer patients (ABPAT), a questionnaire developed in order to measure several dimensions of cancer-related breakthrough pain. It contains 15 questions, and was translated into Norwegian by our research group according to EORTC's rules for translation.
1 week
average and worst pain during the last 24 hours
\- The Alberta Breakthrough Pain Assessment Tool for cancer patients (ABPAT), a questionnaire developed in order to measure several dimensions of cancer-related breakthrough pain. It contains 15 questions, and was translated into Norwegian by our research group according to EORTC's rules for translation.
3 weeks
Secondary Outcomes (2)
symptoms
1 week
symptoms
3 weeks
Study Arms (2)
CCADSS
EXPERIMENTALquestionnaire completed using i-Pad
pen-paper
ACTIVE COMPARATORQuestionnaire completed using pen and paper
Interventions
Eligibility Criteria
You may qualify if:
- attending the outpatient clinic at the Cancer Clinic, St. Olavs Hospital Trondheim
- histologically verified malignancy
- able to follow study instructions
- able to read the information on the computer screen in the intervention period of the study
- able to use a touch screen in the intervention period of the study
- cancer related pain measured as average pain in last 24 hours of 4 or above on a numeric rating scale
- elective or emergency consultation with a physician
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Norwegian University of Science and Technologylead
- St. Olavs Hospitalcollaborator
Study Sites (1)
Department of Oncology outpatient clinic, St Olavs Hospital
Trondheim, Norway
Related Publications (1)
Raj SX, Brunelli C, Klepstad P, Kaasa S. COMBAT study - Computer based assessment and treatment - A clinical trial evaluating impact of a computerized clinical decision support tool on pain in cancer patients. Scand J Pain. 2017 Oct;17:99-106. doi: 10.1016/j.sjpain.2017.07.016. Epub 2017 Aug 8.
PMID: 28850380RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Stein Kaasa, MD prof
Norwegian University of Science and Technology
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 18, 2013
First Posted
February 20, 2013
Study Start
September 1, 2009
Primary Completion
February 1, 2013
Study Completion
February 1, 2013
Last Updated
September 25, 2017
Record last verified: 2017-09