Measuring well-being for public policy

The aim of this thesis is to explore the most appropriate means of measuring individual wellbeing for public policy. The thesis will begin by asking exactly what is meant by well-being and giving a brief overview of the main philosophical accounts of well-being, summarising the variations within each account and considering how well-being can be measured from that perspective. Chapter Three uses analysis of the British Household Panel Survey (BHPS) to explore the differences between the well-being measures available within that dataset. This shows that, although in many cases the choice between different subjective well-being (SWB) measures appears to make minimal difference, there is wide variation between household income and subjective well-being measures and also some important cases where subjective measures differ. This implies that the choice of well-being measure will have important implications for policy making. To aid judgement between different well-being measures a list of criteria for an ideal measure of well-being to be used for public policy are set out in Chapter Four. Chapter Five asks how the various measures of well-being fare according to these criteria, finding that subjective measures perform at least as well, if not better, than existing measures of well-being drawn from neoclassical economic theory. The next three chapters use evidence from the SWB literature and additional analysis of the BHPS to asks whether our current understanding of the determinants of SWB is sufficient to support policy recommendations. Chapter six focuses on the relationship between income and SWB, specifically on evidence for inefficiencies arising from adaptation to income and reference income effects. Chapter seven looks at the relationship between SWB and social capital and considers the extent to which the relationship between talking to neighbours and SWB can be thought of as causal through the use of Instrumental Variable techniques. Lastly, chapter eight considers the role of SWB measures within microeconomic evaluation. The final chapter summarises the advantages and potential hurdles for the use of SWB indicators of wellbeing within public policy, concluding with recommendations for extending this work, both in relation to public policy and academic research

The impact of diabetes-related complications on preference-based measures of health-related quality of life in adults with Type I diabetes

Introduction: This study estimates health-related quality of life (HRQoL) or utility decrements associated with type 1 diabetes mellitus (T1DM) using data from a UK research programme on the Dose Adjustment For Normal Eating (DAFNE) education programme. Methods: A wide range of data was collected from 2,341 individuals who undertook a DAFNE course in 2009-12, at baseline and for two subsequent years. We use fixed and random effects linear models to generate utility estimates for T1DM using different instruments: EQ-5D, SF-6D and EQ-VAS. We show models with and without controls for HbA1c and depression, which may be endogenous (if, for example, there is reverse causality in operation). Results: We find strong evidence of an unobserved individual effect, suggesting the superiority of the fixed effects model. Depression shows the greatest decrement across all the models in the preferred fixed effects model. The fixed effects EQ-5D model also finds a significant decrement from retinopathy, BMI and HbA1c(%). Estimating a decrement using the fixed effects model is not possible for some conditions where there are few new cases. In the random effects model diabetic foot disease shows substantial utility decrements, yet these are not significant in the fixed effects models. Conclusion: Utility decrements have been calculated for a wide variety of health states in T1DM which can be used in economic analyses. However, despite the large dataset, the low incidence of several complications leads to uncertainty in calculating the utility weights. Depression and diabetic foot disease result in a substantial loss in HRQoL for patients with T1DM. HbA1c(%) appears to have an independent negative impact upon HRQoL, although concerns remain regarding the potential endogeneity of this variable

Systematic review of the relative social value of child and adult health

Objectives: We aimed to synthesise knowledge on the relative social value of child and adult health. Methods: Quantitative and qualitative studies that evaluated the willingness of the public to prioritise treatments for children over adults were included. A search to September 2023 was undertaken. Completeness of reporting was assessed using a checklist derived from Johnston et al. Findings were tabulated by study type (matching/person trade-off, discrete choice experiment, willingness to pay, opinion survey or qualitative). Evidence in favour of children was considered in total, by length or quality of life, methodology and respondent characteristics. Results: Eighty-eight studies were included; willingness to pay (n = 9), matching/person trade-off (n = 12), discrete choice experiments (n = 29), opinion surveys (n = 22) and qualitative (n = 16), with one study simultaneously included as an opinion survey. From 88 studies, 81 results could be ascertained. Across all studies irrespective of method or other characteristics, 42 findings supported prioritising children, while 12 provided evidence favouring adults in preference to children. The remainder supported equal prioritisation or found diverse or unclear views. Of those studies considering prioritisation within the under 18 years of age group, nine findings favoured older children over younger children (including for life saving interventions), six favoured younger children and five found diverse views. Conclusions: The balance of evidence suggests the general public favours prioritising children over adults, but this view was not found across all studies. There are research gaps in understanding the public’s views on the value of health gains to very young children and the motivation behind the public’s views on the value of child relative to adult health gains. Clinical Trial Registration: The review is registered at PROSPERO number: CRD42021244593. There were two amendments to the protocol: (1) some additional search terms were added to the search strategy prior to screening to ensure coverage and (2) a more formal quality assessment was added to the process at the data extraction stage. This assessment had not been identified at the protocol writing stage.</p

What is the best approach to adopt for identifying the domains for a new measure of health, social care and carer-related quality of life to measure quality-adjusted life years? Application to the development of the EQ-HWB

Economic evaluation combines costs and benefits to support decision-making when assessing new interventions using preference-based measures to measure and value benefits in health or health-related quality of life. These health-focused instruments have limited ability to capture wider impacts on informal carers or outcomes in other sectors such as social care. Sector-specific instruments can be used but this is problematic when the impact of an intervention straddles different sectors.An alternative approach is to develop a generic preference-based measure that is sufficiently broad to capture important cross-sector outcomes. We consider the options for the selection of domains for a cross-sector generic measure including how to identify domains, who should provide information on the domains and how this should be framed. Beyond domain identification, considerations of criteria and stakeholder needs are also identified.This paper sets out the case for an approach that relies on the voice of patients, social care users and informal carers as the main source of domains and describes how the approach was operationalised in the ‘Extending the QALY’ project which developed the new measure, the EQ-HWB (EQ health and wellbeing instrument). We conclude by discussing the strengths and limitations of this approach. The new measure should be sufficiently generic to be used to consistently evaluate health and social care interventions, yet also sensitive enough to pick up important changes in quality of life in patients, social care users and carers

Is Meta-Analysis for Utility Values Appropriate Given the Potential Impact Different Elicitation Methods Have on Values?

A growing number of published articles report estimates from meta-analysis or meta-regression on health state utility values (HSUVs), with a view to providing input into decision-analytic models. Pooling HSUVs is problematic because of the fact that different valuation methods and different preference-based measures (PBMs) can generate different values on exactly the same clinical health state. Existing meta-analyses of HSUVs are characterised by high levels of heterogeneity, and meta-regressions have identified significant (and substantial) impacts arising from the elicitation method used. The use of meta-regression with few utility values and inclusion criteria that extend beyond the required utility value has not helped. There is the potential to explore greater use of mapping between different PBMs and valuation methods prior to data synthesis, which could support greater use of pooling values. Researchers wishing to populate decision-analytic models have a responsibility to incorporate all high-quality evidence available. In relation to HSUVs, greater understanding of the differences between different methods and greater consistency of methodology is required before this can be achieved

Experience-based utility and own health state valuation for a health state classification system: why do it and how to do it

In the estimation of population value sets for health state classification systems such as the EQ-5D, there is increasing interest in asking respondents to value their own health state, sometimes referred to as "experienced-based utility values" or more correctly ownrather than hypothetical health states. Own health state values differ to hypothetical health state values, and this may be attributed to many reasons. This paper critically examines: whose values matter; why there is a difference between own and hypothetical values; how to measure own health state values; and why to use own health state values. Finally, the paper also examines other ways that own health state values can be taken into account, such as including the use of informed general population preferences that may better take into account experience-based values

The impact of ADHD on the health and well-being of ADHD children and their siblings

Childhood attention-deficit/hyperactivity disorder (ADHD) has been associated with reduced health and well-being of patients and their families. The authors undertook a large UK survey-based observational study of the burden associated with childhood ADHD. The impact of ADHD on both the patient (N = 476) and their siblings (N = 337) on health-related quality of life (HRQoL) and happiness was quantified using multiple standard measures [e.g. child health utility-9D (CHU-9D), EuroQol-5D-Youth]. In the analysis, careful statistical adjustments were made to ensure a like-for-like comparison of ADHD families with two different control groups. We controlled for carers' ADHD symptoms, their employment and relationship status and siblings' ADHD symptoms. ADHD was associated with a significant deficit in the patient's HRQoL (with a CHU-9D score of around 6 % lower). Children with ADHD also have less sleep and were less happy with their family and their lives overall. No consistent decrement to the HRQoL of the siblings was identified across the models, except that related to their own conduct problems. The siblings do, however, report lower happiness with life overall and with their family, even when controlling for the siblings own ADHD symptoms. We also find evidence of elevated bullying between siblings in families with a child with ADHD. Overall, the current results suggest that the reduction in quality of life caused by ADHD is experienced both by the child with ADHD and their siblings

The EQ Health and Wellbeing: Overview of the Development of a Measure of Health and Wellbeing and Key Results

Objectives: Existing measures for estimating quality-adjusted life-years are mostly limited to health-related quality of life. This article presents an overview of the development the EQ Health and Wellbeing (EQ-HWB), which is a measure that encompasses health and wellbeing. Methods: Stages: (1) Establishing domains through reviews of the qualitative literature informed by a conceptual framework. (2) Generation and selection of items to cover the domains. (3) Face validation of these items through qualitative interviews with 168 patients, social care users, general population, and carers across 6 countries (Argentina, Australia, China, Germany, United Kingdom, United States). (4) Extensive psychometric testing of candidate items (using classical, factor analysis, and item response theory methods) on > 4000 respondents in the 6 countries. Stakeholders were consulted throughout. Results: A total of 32 subdomains grouped into 7 high-level domains were identified from the qualitative literature and 97 items generated to cover them. Face validation eliminated 36 items, modified 14, and added 3. Psychometric testing of 64 items found little difference in missing data or problems with response distribution, the conceptual model was confirmed except in China, and most items performed well in the item response theory in all countries. Evidence was presented to stakeholders in 2 rounds of consultation to inform the final selection of items for the EQ-HWB (25-item) and the short version of EQ-HWB (9-items). Conclusions: EQ-HWB measures have been developed internationally for evaluating interventions in health, public health, and social care including the impact on patients, social care users, and carers