Dataset Information

Measuring change in health-related quality of life: the impact of different analytical methods on the interpretation of treatment effects in glioma patients.

ABSTRACT: Background: Different analytical methods may lead to different conclusions about the impact of treatment on health-related quality of life (HRQoL). This study aimed to examine 3 different methods to evaluate change in HRQoL and to study whether these methods result in different conclusions.

Methods: HRQoL data from 15 randomized clinical trials were combined (CODAGLIO project). Change in HRQoL scores, measured with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and BN20 questionnaires, was analyzed in 3 ways: (1) at the group level, comparing mean changes in scale/item scores between treatment arms, (2) at the patient level per scale/item, calculating the percentage of patients that deteriorated, improved, or remained stable per scale/item, and (3) at the individual patient level, combining all scales/items.

Results: Baseline and first follow-up HRQoL data were available for 3727 patients. At the group scale/item level, only the item "hair loss" showed a significant and clinically relevant change (ie, ?10 points) over time, whereas change scores on the other scales/items were statistically significant only (all P?
Conclusions: Different analytical methods of changes in HRQoL result in distinct conclusions of treatment effects, all of which may be relevant for informing clinical decision making.

SUBMITTER: Coomans MB

PROVIDER: S-EPMC7716184 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Measuring change in health-related quality of life: the impact of different analytical methods on the interpretation of treatment effects in glioma patients.

Coomans Marijke B MB Taphoorn Martin J B MJB Aaronson Neil K NK Baumert Brigitta G BG van den Bent Martin M Bottomley Andrew A Brandes Alba A AA Chinot Olivier O Coens Corneel C Gorlia Thierry T Herrlinger Ulrich U Keime-Guibert Florence F Malmström Annika A Martinelli Francesca F Stupp Roger R Talacchi Andrea A Weller Michael M Wick Wolfgang W Reijneveld Jaap C JC Dirven Linda L

Neuro-oncology practice 20200607 6

<h4>Background</h4>Different analytical methods may lead to different conclusions about the impact of treatment on health-related quality of life (HRQoL). This study aimed to examine 3 different methods to evaluate change in HRQoL and to study whether these methods result in different conclusions.<h4>Methods</h4>HRQoL data from 15 randomized clinical trials were combined (CODAGLIO project). Change in HRQoL scores, measured with the European Organization for Research and Treatment of Cancer Quali ...[more]

PMID: 33304601

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Project description:BACKGROUND:Domains other than those commonly measured (physical, psychological, social, and sometimes existential/spiritual) are important to the quality of life of people with life-threatening illness. The McGill Quality of Life Questionnaire (MQOL) - Revised measures the four common domains. The aim of this study was to create a psychometrically sound instrument, MQOL - Expanded, to comprehensively measure quality of life by adding to MQOL-Revised the domains of cognition, healthcare, environment, (feeling like a) burden, and possibly, finance. METHODS:Confirmatory factor analyses were conducted on three datasets to ascertain whether seven new items belonged with existing MQOL-Revised domains, whether good model fit was obtained with their addition as five separate domains to MQOL-Revised, and whether a second-order factor representing overall quality of life was present. People with life-threatening illnesses (mainly cancer) or aged > 80 were recruited from 15 healthcare sites in seven Canadian provinces. Settings included: palliative home care and inpatient units; acute care units; oncology outpatient clinics. RESULTS:Good model fit was obtained when adding each of the five domains separately to MQOL-Revised and for the nine correlated domains. Fit was acceptable for a second-order factor model. The financial domain was removed because of low importance. The resulting MQOL-Expanded is a 21-item instrument with eight domains (fit of eight correlated domains: Comparative Fit Index = .96; Root Mean Square Error of Approximation = .033). CONCLUSIONS:MQOL-Expanded builds on MQOL-Revised to more comprehensively measure the quality of life of people with life-threatening illness. Our analyses provide validity evidence for the MQOL-Expanded domain and summary scores; the need for further validation research is discussed. Use of MQOL-Expanded will enable a more holistic understanding of the quality of life of people with a life-threatening illness and the impact of treatments and interventions upon it. It will allow for a better understanding of less commonly assessed but important life domains (cognition, healthcare, environment, feeling like a burden) and their relationship to the more commonly assessed domains (physical, psychological, social, existential/spiritual).

Dataset Information

Measuring change in health-related quality of life: the impact of different analytical methods on the interpretation of treatment effects in glioma patients.

Publications

Measuring change in health-related quality of life: the impact of different analytical methods on the interpretation of treatment effects in glioma patients.

Similar Datasets

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