Measuring quality of life in people living with and beyond cancer in the UK

Author:

Moschopoulou Elisavet,Deane Jennifer,Duncan Morvwen,Ismail Sharif A.,Moriarty Sophie,Sarker Shah-Jalal,White Peter,Korszun Ania,Bhui Kamaldeep,Bourke Liam,Chalder Trudie,Eldridge Sandra,Gribben John,Jones Louise,McCrone Paul,Morgan Adrienne,Ridge Damien,Roylance Rebecca,Taylor Steph,Thaha Mohamed,

Abstract

Abstract Purpose The aim of this study was to identify the most appropriate measure of quality of life (QoL) for patients living with and beyond cancer. Methods One hundred eighty-two people attending cancer clinics in Central London at various stages post-treatment, completed a series of QoL measures: FACT-G, EORTC QLQ-C30 , IOCv2 (positive and negative subscales) and WEMWBS, a wellbeing measure. These measures were chosen as the commonest measures used in previous research. Correlation tests were used to assess the association between scales. Participants were also asked about pertinence and ease of completion. Results There was a significant positive correlation between the four domain scores of the two health-related QoL measures (.32 ≤ r ≤ .72, P < .001), and a significant large negative correlation between these and the negative IOCv2 subscale scores (− .39 ≤ r ≤ − .63, P < .001). There was a significant moderate positive correlation between positive IOCv2 subscale and WEMWBS scores (r = .35, P < .001). However, neither the FACT-G nor the EORTC showed any significant correlation with the positive IOCv2 subscale. Participants rated all measures similarly with regards to pertinence and ease of use. Conclusion There was little to choose between FACT-G, EORTC, and the negative IOC scales, any of which may be used to measure QoL. However, the two IOCv2 subscales capture unique aspects of QoL compared to the other measures. The IOCv2 can be used to identify those cancer survivors who would benefit from interventions to improve their QoL and to target specific needs thereby providing more holistic and personalised care beyond cancer treatment.

Funder

Programme Grants for Applied Research

Publisher

Springer Science and Business Media LLC

Subject

Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3