Abstract
BackgroundVarious scales have been used to assess palliative outcomes. But measurement can still be problematic and core components of measures have not been identified. This study aimed to determine the relationships between, and factorial structure of, three widely used scales among advanced cancer patients.MethodsPatients were recruited who received home or hospital palliative care services in the south of England. Hope, quality of life and palliative outcomes were assessed by patients in face to face interviews, using three previously established scales – a generic measure (EQoL), a palliative care specific measure (POS) and a measure of hope (Herth Hope Index). Analysis comprised: exploratory factor analysis of each individual scale, and all scales combined, and confirmatory factor analysis for model building and validation.ResultsOf 171 patients identified, 140 (81%) consented and completed first interviews; mean age was 71 years, 54% were women, 132 had cancer. In exploratory analysis of individual means, three out of the five factors in the EQoL explained 75% of its variability, four out of the 10 factors in POS explained 63% of its variability, and in the Hope Index, nine out of the 12 items explained 69% of its variability. When exploring the relative factorial structure of all three scales, five factors explained 56% of total combined variability. Confirmatory analysis reduced this to a model with four factors – self-sufficiency, positivity, symptoms and spiritual. Removal of the spiritual factor left a model with an improved goodness of fit and a measure with 11 items.ConclusionWe identified three factors which are important outcomes and would be simple to measure in clinical practice and research.
Highlights
Various scales have been used to assess palliative outcomes
We identified three factors which are important outcomes and would be simple to measure in clinical practice and research
The concurrent and historical samples were very similar in terms of characteristics like age, ethnicity, willingness to take part in the study, diagnosis, as well as their relationship to the carer and whether they resided with family, spouse or alone and housing
Summary
Various scales have been used to assess palliative outcomes. But measurement can still be problematic and core components of measures have not been identified. Measurement of the effect of illness and its treatment on patients is an accepted part of clinical trial design [1]. Such measurement is proposed as an aid to improve clinical practice and decision making [2,3]. Many quality of life scales focus on the assessment of physical functioning, which deteriorates as illness progresses [4,8]. This can render the measure insensitive to, or mask, other changes. Most quality of life scales have been (page number not for citation purposes)
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