Email this article THE USE OF QUALITY OF LIFE AUTOMATIZED ASSESSMENT TECHNOLOGY IN PATIENTS IN CLINICAL PRACTICE OF THE ONCOUROLOGICAL DEPARTMENT
- Authors: Shirokorad V.I.1, Shtevnina Y.I.2, Shvyrev S.L.2, Makhson A.N.1, Dolgih D.V.1
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Affiliations:
- City Cancer Hospital Sixty-Two
- Department of medical cybernetics and information science, The Russian State Medical University, Moscow
- Issue: Vol 7, No 3 (2011)
- Pages: 121-128
- Section: PROSTATE CANCER
- Published: 30.09.2011
- URL: https://oncourology.abvpress.ru/oncur/article/view/247
- DOI: https://doi.org/10.17650/1726-9776-2011-7-3-121-128
- ID: 247
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Abstract
Objective. The developing and introduction the quality of life (QL) automatized assessment in oncourological patients in clinical practice.
Subjects and methods. General questionnaire EORTC QLQ-C30 and modules (QLQ-PR25 and QLQ-BLM30) were selected for QL assessment. The software tools of hospital information system were used for development. There were surveyed 236 oncourological patients.
Results. Forms of unitary and dynamic researches were developed for result visualization, interactive modules were developed for data complex analysis. The first results of QL assessment were received. The highest values were in role and social functions (medians were equal 100 points). Fatigue, pain and sleeplessness were disturbed patients most of all (medians — 33,3, 16,7 and 33,3 points respectively). The median of Global health status was not high, only 50 points. There were analyzed three nosological groups of patients: urinary bladder cancer, renal cancer, prostate cancer. And the lowest values of functioning scales were in patients with urinary bladder cancer; also these patients complained of dyspnea reliably more often.
Conclusions. The developed technology of quality of life study can be used as a good methodological base for assessment of cure efficiency not only in early postoperational period, but during treatment, and in late time after termination of course of treatment.
About the authors
V. I. Shirokorad
City Cancer Hospital Sixty-Two
Author for correspondence.
Email: Shirokorad@bk.ru
Russian Federation
Yu. I. Shtevnina
Department of medical cybernetics and information science, The Russian State Medical University, Moscow
Email: Shirokorad@bk.ru
Russian Federation
S. L. Shvyrev
Department of medical cybernetics and information science, The Russian State Medical University, Moscow
Email: Shirokorad@bk.ru
Russian Federation
A. N. Makhson
City Cancer Hospital Sixty-Two
Email: Shirokorad@bk.ru
Russian Federation
D. V. Dolgih
City Cancer Hospital Sixty-Two
Email: Shirokorad@bk.ru
Russian Federation
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