HEALTH RELATED QUALITY OF LIFE IN CANCER PATIENTS- EVALUATION WITH A SELF-ADMINISTERED IPAD APPLICATION
Author(s)
Yuce D, Hayran M, Kilickap S, Erman M, Celik I
Hacettepe University, Ankara, Turkey
Presentation Documents
OBJECTIVES Cancer has the second highest mortality rates after cardiovascular diseases in the world. Advances in treatment options caused significant enhancements in survival of cancer patients. However, the major parameter affecting treatment success and treatment adherence in these patients is the quality of life (QoL). We aimed to develop a self-administered iPad application for evaluation of QoL in a short questionnaire. METHODS As part of routine practice in Preventive Oncology Department EORTC QLQ-C30 was administered to 1549 cancer patients treated in Hacettepe University Oncology Hospital. We determined 10 questions that explains most of the variation in QoL using factor analysis, and designed a new application for iPad, where patients can record responses themselves. RESULTS The 10 factors that described by the factor analysis had the power of 74,2% explaining QoL variances. The reliability analysis of these factors showed a Cronbach alpha coefficient of 0,75. The new self-administered iPad application was tested in a pilot study that conducted in 127 patients taking chemotherapy regimens in the outpatient setting. The validity and reliability analyses revealed that the new application can be effectively used in Turkish cancer patients. CONCLUSIONS Our results revealed that our software application will be useful and efficient for monitoring of the changes in QoL during their treatment course. Furthermore, this kind of mobile applications may be practical for health professionals in daily routine clinical assessments of patients. Also, the audio and visual enhancements in electronic applications provide increased accessibility for the cancer patients.
Conference/Value in Health Info
2014-11, ISPOR Europe 2014, Amsterdam, The Netherlands
Value in Health, Vol. 17, No. 7 (November 2014)
Code
PRM168
Topic
Methodological & Statistical Research
Topic Subcategory
PRO & Related Methods
Disease
Oncology