Functioning and quality of life in Dutch oldest old with diverse levels of dependency

Scoring System for the Japanese Version of the ICECAP-A

Purpose

This study aimed to develop a value set for the Japanese version of the Investigating Choice Experiments CAPability Measure for Adults (ICECAP-A).

Patients and Methods

A total of 400 participants were recruited. Survey 1, conducted utilizing a self-report format, collected demographic data and responses to well-being scales, including the ICECAP-A, the Investigating Choice Experiments CAPability Measure for Older People (ICECAP-O), and the EuroQol 5 Dimensions (EQ-5D), among others. Participants who completed Survey 1 were invited to participate in Survey 2. In Survey 2, an interview-based assessment, participants engaged in best-worst scaling, where they identified the most and least favorable situations in each of the 16 hypothetical scenarios. A mixed-mixed multinomial logit (MM-MNL) model was utilized to estimate preference parameters, accounting for individual heterogeneity and latent classes.

Results

The estimated parameters and tariffs indicated that all five attributes contributed to an individual's capability for well-being, consistent with prior studies. The attributes were ranked in order of importance as follows: "enjoyment" (24.8% of the space), "attachment" (22.1%), "stability" (19.5%), "autonomy" (17.9%), and "achievement" (15.6%). For "enjoyment" and "attachment", the differences between levels 1 and 2 and between levels 2 and 3 were equally large. In contrast, for all other attributes, the greatest differences were observed between levels 1 and 2. Across all attributes, the differences between levels 3 and 4 were comparatively smaller.

Conclusion

We developed a Japanese version of the ICECAP-A and demonstrated the feasibility of utilizing best-worst scaling in a non-European context. This approach allows for a more precise evaluation of quality of life (QoL) among individuals with chronic conditions, caregivers, and the general population. Future research should assess the scale's sensitivity in capturing changes in capability over time.

Measuring the quality of life of long-term care service users in Japan: a cross-sectional questionnaire study

BACKGROUND

In Japan's super-aging society, the number of long-term care service providers is increasing, and the quality of care is a matter of concern. One aspect of the quality of care is the user's quality of life. The questionnaires EQ-5D and WHO-5 are representative indicators of quality of life. Herein, we aimed to measure the quality of life in long-term care service users in Japan and to clarify the relationship between quality of life and the level of care required.

METHODS

A questionnaire study was conducted in 106 facilities of 22 corporations. In addition to the EQ-5D and WHO-5, sex, age, and the level of care required were assessed by descriptive statistics. Bonferroni's multiple comparison test was used to analyze each quality of life score, and the differences by sex and age were analyzed multiple regression analyses, with each quality of life score as the objective variable.

RESULTS

Of 4647 cases collected, 2830 were analyzed, with no missing data. Both indicators tended to be lower than the general older population. Those scores tended to be higher in females than males (EQ-5D: males, 0.58 ± 0.26; females, 0.60 ± 0.24; P = 0.06 and WHO-5: males, 13.8 ± 5.92; females 14.9 ± 5.70; P < 0.001). In terms of age, those under 65 years old with specific diseases had lower EQ-5D scores than those in other age groups (P < 0.001); however, WHO-5 scores did not differ by age. Multiple regression analysis showed a significant association between the EQ-5D score and level of care required, except for support-required level 1, which tended to worsen as the level of care required increased. Conversely, the WHO-5 score was significantly lower for care need levels 2, 4, and 5.

CONCLUSIONS

The quality of life of long-term care service users was worse than that of the general older population, it tended to be low among males and those under 65 years old with specific diseases. Furthermore, it gradually decreased as the level of care required increased. It is important to monitor users' quality of life as a quality indicator of care, to improve and manage it.

Capability instruments in economic evaluations of health-related interventions: a comparative review of the literature

PURPOSE

Given increasing interest in using the capability approach for health economic evaluations and a growing literature, this paper aims to synthesise current information about the characteristics of capability instruments and their application in health economic evaluations.

METHODS

A systematic literature review was conducted to assess studies that contained information on the development, psychometric properties and valuation of capability instruments, or their application in economic evaluations.

RESULTS

The review identified 98 studies and 14 instruments for inclusion. There is some evidence on the psychometric properties of most instruments. Most papers found moderate-to-high correlation between health and capability measures, ranging between 0.41 and 0.64. ASCOT, ICECAP-A, -O and -SCM instruments have published valuation sets, most frequently developed using best-worst scaling. Thirteen instruments were originally developed in English and one in Portuguese; however, some translations to other languages are available. Ten economic evaluations using capability instruments were identified. The presentation of results show a lack of consensus regarding the most appropriate way to use capability instruments in economic evaluations with discussion about capability-adjusted life years (CALYs), years of capability equivalence and the trade-off between maximisation of capability versus sufficient capability.

CONCLUSION

There has been increasing interest in applying the capability-based approach in health economic evaluations, but methodological and conceptual issues remain. There is still a need for direct comparison of the different capability instruments and for clear guidance on when and how they should be used in economic evaluations.

A Review of the Development and Application of Generic Preference-Based Instruments with the Older Population

Older people (aged 65 years and over) are the fastest growing age cohort in the majority of developed countries, and the proportion of individuals defined as the oldest old (aged 80 years and over) living with physical frailty and cognitive impairment is rising. These population changes put increasing pressure on health and aged care services, thus it is important to assess the cost effectiveness of interventions targeted for older people across health and aged care sectors to identify interventions with the strongest capacity to enhance older peoples' quality of life and provide value for money. Cost-utility analysis (CUA) is a form of economic evaluation that typically uses preference-based instruments to measure and value health-related quality of life for the calculation of quality-adjusted life-years (QALYS) to enable comparisons of the cost effectiveness of different interventions. A variety of generic preference-based instruments have been used to measure older people's quality of life, including the Adult Social Care Outcomes Toolkit (ASCOT); Health Utility Index Mark 2 (HUI2); Health Utility Index Mark 3 (HUI3); Short-Form-6 Dimensions (SF-6D); Assessment of Quality of Life-6 dimensions (AQoL-6D); Assessment of Quality of Life-8 dimensions (AQoL-8D); Quality of Wellbeing Scale-Self-Administered (QWB-SA); 15 Dimensions (15D); EuroQol-5 dimensions (EQ-5D); and an older person specific preference-based instrument-the Investigating Choice Experiments Capability Measure for older people (ICECAP-O). This article reviews the development and application of these instruments within the older population and discusses the issues surrounding their use with this population. Areas for further research relating to the development and application of generic preference-based instruments with populations of older people are also highlighted.