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Measuring quality of life in people living with and beyond cancer in the UK.
Moschopoulou, Elisavet; Deane, Jennifer; Duncan, Morvwen; Ismail, Sharif A; Moriarty, Sophie; Sarker, Shah-Jalal; White, Peter; Korszun, Ania.
Afiliación
  • Moschopoulou E; Institute of Population Health Sciences, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Deane J; Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Newcastle upon Tyne, NE2 4AX, UK.
  • Duncan M; Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Ismail SA; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
  • Moriarty S; Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Sarker SJ; Research Department of Medical Education, UCL Medical School, UCL, London, UK.
  • White P; Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Korszun A; Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK. a.korszun@qmul.ac.uk.
Support Care Cancer ; 29(10): 6031-6038, 2021 Oct.
Article en En | MEDLINE | ID: mdl-33783624
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Supervivientes de Cáncer / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Support Care Cancer Asunto de la revista: NEOPLASIAS / SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Supervivientes de Cáncer / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Support Care Cancer Asunto de la revista: NEOPLASIAS / SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido