4.5 Article

Implementation of Computer-Based Quality-of-Life Monitoring in Brain Tumor Outpatients in Routine Clinical Practice

Journal

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT
Volume 39, Issue 2, Pages 219-229

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jpainsymman.2009.06.015

Keywords

Computer; quality of life; assessment; monitoring; neuro-oncology

Funding

  1. Austrian National Bank

Ask authors/readers for more resources

Context. Computerized assessment of quality of life (QOL) in patients with brain tumors can be an essential part of quality assurance with regard to evidence-based medicine in neuro-oncology. Objectives. The aim of this project was the implementation of a computer-based QOL monitoring tool in a neurooncology outpatient unit. A further aim was to derive reference values for QOL scores from the collected data to improve interpretability. Methods. Since August 2005, patients with brain tumors treated at the neurooncology outpatient unit of the Innsbruck Medical University were consecutively included in the study. QOL assessment (European Organisation for Research and Treatment of Cancer [EORTC] Quality of Life Questionnaire [QLQ-C30] plus the EORTC QLQ-brain cancer module [BN20]) was computer-based, using a software tool called the Computer-based Health Evaluation System. Results. A total of 110 patients with primary brain tumors (49% female; mean [standard deviation] age 47.9 [12.6] years; main diagnoses: 30.9% astrocytoma, 17.3% oligodendroglioma, 17.3% glioblastoma, 13.6% meningioma) was included in the study. On average, QOL was assessed 4.74 times per patient, 521 times in total. The user-friendly software was successfully implemented and tested. The routine QOL assessment was found to be feasible and was well accepted by both physicians and patients. Conclusion. The software-generated graphic QOL profiles were found to be an important tool for screening patients for clinically relevant problems. Thus, computer-based QOL monitoring can contribute to an optimization of treatment (e.g., symptom management, psychosocial interventions) and facilitate data collection for research purposes. J Pain Symptom Manage 2010;39:219-229. (C) 2010 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available