Computer Based Assessment and Treatment

NCT ID: NCT01795157

Last Updated: 2017-09-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

255 participants

Study Classification

INTERVENTIONAL

Study Start Date

2009-09-30

Study Completion Date

2013-02-28

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

The traditional way of symptom assessment is by the paper-and-pen method, which suffers from several limitations. The assessment items are not individually adjusted to each patient and his/her subjective symptoms, the collected data is rarely used in clinical practice, and decision-support for the physician is not possible.

Although the body of evidence is accumulating regarding the benefits of computerised symptom assessment in cancer patients, there is still insufficient knowledge of the impact of computerised assessment tools on the management of cancer pain and other cancer related symptoms.

The COMBAT study aims to investigate if a computer based assessment of cancer related symptoms, and a computerized decision support can improve treatment of pain and other symptoms in cancer patients.

This is an open, comparative study with a sequential design with two consecutive study periods, the non-intervention period and the intervention period.

The computer-based clinical decision support system will utilize the following data to generate one or several treatment options:

1. Data from self assessment of cancer related symptoms
2. Data from relevant variables reported by the physician
3. Revisited guidelines on treatment of cancer pain

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Neoplasms Pain

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NON_RANDOMIZED

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

CCADSS

questionnaire completed using i-Pad

Group Type EXPERIMENTAL

CCADSS

Intervention Type DEVICE

Questionnaire is transferred wireless to the physician's PC

pen-paper

Questionnaire completed using pen and paper

Group Type ACTIVE_COMPARATOR

pen-paper

Intervention Type DEVICE

Questionnaire completed and transferred to the physician using standard methods

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

CCADSS

Questionnaire is transferred wireless to the physician's PC

Intervention Type DEVICE

pen-paper

Questionnaire completed and transferred to the physician using standard methods

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

St. Olavs Hospital

OTHER

Sponsor Role collaborator

Norwegian University of Science and Technology

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Stein Kaasa, MD prof

Role: STUDY_DIRECTOR

Norwegian University of Science and Technology

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Department of Oncology outpatient clinic, St Olavs Hospital

Trondheim, , Norway

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Norway

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type RESULT
PMID: 28850380 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2009/859

Identifier Type: -

Identifier Source: org_study_id