Computer Based Assessment and Treatment
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
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
Allocation: Non-Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic
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.
Stein Kaasa, MD prof
Norwegian University of Science and Technology
Norway:National Committee for Medical and Health Research Ethics