Psychometric Evaluation of the Chinese Recovering Quality of Life (ReQoL) Outcome Measure and Assessment of Health-Related Quality of Life During the COVID-19 Pandemic

The EORTC QLU-C10D: the Hong Kong valuation study

OBJECTIVE

The EORTC QLU-C10D is a new preference-based measure derived from the EORTC QLQ-C30. Country-specific value sets are required to support the cost-utility analysis of cancer-related interventions. This study aimed to generate an EORTC QLU-C10 value set for Hong Kong (HK).

METHODS

A HK online panel was quota-sampled to achieve an adult general population sample representative by sex and age. Participants were invited to complete an online discrete choice experiment survey. Each participant was asked to complete 16 choice-pairs, randomly assigned from a total of 960 choice-pairs, each comprising two QLU-C10D health states and a duration attribute. Conditional and mixed logistic regression analyses were used to analyse the data.

RESULTS

The analysis included data from 1041 respondents who had successfully completed the online survey. The distribution of sex did not differ from that of the general population, but a significant difference was found among age groups. A weighting analysis for non-representative variable (age) was used. Utility decrements were generally monotonic, with the largest decrements for physical functioning (- 0.308), role functioning (- 0.165), and pain (- 0.161). The mean QLU-C10D utility score of the participants was 0.804 (median = 0.838, worst to best = - 0.169 to 1). The value of the worst health state was - 0.223, which was sufficiently lower than 0 (being dead).

CONCLUSIONS

This study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.

Psychometric evaluation of the German version of the Recovering Quality of Life (ReQoL) measures in patients with affective disorders

BACKGROUND

The generic self-reported Recovering Quality of Life (ReQoL) measures were developed for measuring recovery-focused health-related quality of life (HrQoL) in persons with mental health conditions. The aim of this study was to assess the psychometric properties of the German version of the ReQoL measures in patients with affective disorders in Germany.

METHODS

Data from a patient sub-sample in a randomized controlled trial have been used (N = 393). The internal consistency and the test-retest reliability of the ReQoL measures were assessed using Cronbach's Alpha and the intra-class correlation coefficient (ICC). The concurrent validity and the known-group validity of the ReQoL measures were assessed using Pearson's Correlation coefficient and Cohen's d. The responsiveness was assessed using Glass' Δ and the standardized response mean (SRM).

RESULTS

The reliability among the items of the ReQoL-20 was overall excellent. The ICC of the ReQoL-20 was r = 0.70, indicating moderate test-retest reliability. The concurrent validity of the ReQoL-20 with the clinical measure PHQ-9 was strong with a correlation coefficient of r = - 0.76. The known-group validity of the ReQoL-20 using PHQ-9 cut-off points was large with an effect size of d = 1.63. The ReQoL measures were sensitive to treatment response and remission of symptoms measured by the PHQ-9 with large effect sizes/SRM.

DISCUSSION

The psychometric properties of the ReQoL measures for the assessment of patients with affective disorders were overall good. With the ReQoL, valid and reliable measures for the assessment of recovery-focused HrQoL for persons with affective disorders are available in German language.

Translation and linguistic validation of the Swedish recovering quality of life (ReQoL) - A brief research report

In research and among clinicians, the focus has shifted from mainly symptom reduction and increasing functionality to a more recovery-oriented focus. Although there are instruments measuring recovery, there has been a lack of instruments sensitive enough to measure the quality of life for people with severe mental health disorders. Therefore, this study aimed to obtain a Swedish version of the Recovering Quality of Life (ReQoL) questionnaire adhering to best practice guidelines using various steps of translation, linguistic validation, and cognitive debriefing. The cognitive debriefing was conducted with seven participants, and all felt the items in the questionnaire were relevant to their health, apprehensible, and easy to complete. However, some issues were raised regarding wording and the concepts behind certain items. All feedback was considered, and some items were revised in response to criticism after continuous discussions. A Swedish version of ReQoL now exists, and although there is a need for ReQoL in different clinical research settings in Sweden, further research is required to psychometrically test the construct validity as well as reliability of the Swedish version in Sweden.

Measuring health-related quality of life and well-being: a head-to-head psychometric comparison of the EQ-5D-5L, ReQoL-UI and ICECAP-A

OBJECTIVE

This study aimed to assess the psychometric properties of three generic preference-based measures and compare their performance in a sample of Hong Kong general population.

METHODS

Data used for this analysis were obtained from a cross-sectional telephone-based survey in July 2020. Participants were asked to complete several measures, including The EuroQol five-dimensional five levels (EQ-5D-5L), Recovering Quality of Life-Utility Index (ReQoL-UI) and ICEpop CAPability measure for adults (ICECAP-A). Acceptability, reliability, convergent and discriminant validity of three measures were assessed as well as the agreement between these instruments.

RESULTS

Based on data from 500 participants to the survey, a lower mean score of the ICECAP-A (mean = 0.85) was observed compared to the other two measures (mean_ReQoL-UI = 0.92; mean_EQ-5D-5L = 0.92). All three measures showed an acceptable internal consistency reliability (Cronbach's alpha = 0.74, 0.82 and 0.77, respectively) as well as good test-retest reliability (intra-class correlation coefficient = 0.74, 0.82 and 0.77, respectively). Correlation analyses confirmed satisfactory convergent validity and the ability of the measures to differentiate between participants with different health or from socioeconomic status groups. The Bland-Altman plot revealed poor agreement between the three measures.

CONCLUSIONS

This study confirmed that EQ-5D-5L, ReQoL-UI and ICECAP-A were psychometrically robust to measure HRQoL in the general HK population. The EQ-5D-5L was more suitable for assessing physical HRQoL, whereas the ICECAP-A and ReQoL-UI were more appropriate for measuring interventions aimed at improving people's well-being and mental health.