Is well-becoming important for children and young people? Evidence from in-depth interviews with children and young people and their parents.

PURPOSE: This study explores how important well-becoming factors appear to be to children during childhood. We define well-becoming as the indicators which predict children and young people's future wellbeing and opportunities. The priority for this work was to explore whether well-becoming might be an important factor to include in outcome measures for children and young people. The inclusion of well-becoming indicators could ensure that opportunities to invest in promoting wellbeing in children's futures are not missed. METHODS: In-depth, qualitative interviews (N = 70) were undertaken with children and young people aged 6-15 years and their parents. Analysis used constant comparison and framework methods to investigate whether well-becoming factors were considered important by informants to children and young people's current wellbeing. RESULTS: The findings of the interviews suggested that children and young people and their parents are concerned with future well-becoming now, as factors such as future achievement, financial security, health, independence, identity, and relationships were identified as key to future quality of life. Informants suggested that they considered it important during childhood to aspire towards positive outcomes in children and young people's futures. CONCLUSION: The study findings, taken alongside relevant literature, have generated evidence to support the notion that future well-becoming is important to current wellbeing. We have drawn on our own work in capability wellbeing measure development to demonstrate how we have incorporated a well-becoming attribute into our measures. The inclusion of well-becoming indicators in measures could aid investment in interventions which more directly improve well-becoming outcomes for children and young people.

Adolescent's time use and skills development: Do cognitive and non-cognitive skills differ?

This study looks at the association of adolescent's time use on the acquisition of cognitive and non-cognitive (psychological and social) skills, thus contributing to the literature on parental investment and skills development. Specifically, using data relating to adolescent's time spent on school, study, sleep, and play, we investigate how these relate to cognitive and non-cognitive skills of older Indian children. For cognitive skills we use Peabody Picture Vocabulary Test (PPVT), which is a well-accepted measure of verbal intelligence. For non-cognitive skills, we construct a self-esteem variable using pride and shame questions; and a resilience variable using questions pertaining to whether an adolescent can get external help for coping with problems. Our results suggest that time use in all four types of activity has a positive association in the development of cognitive skills but competing associations when it comes to non-cognitive skills. We conclude that parental inputs into skills development, such as guidance about adolescent's time-use, are likely to have a differential association depending on the kind of skills being developed.

Community Participation and Multidimensional Child Growth: Evidence from the Vietnam Young Lives Study.

Background: Community participation has the potential to improve the effects of interventions and reduce inequalities in child growth. Multidimensional indicators capture such effects and inequalities. Objectives: The objective of this study was to measure the association between multidimensional child growth and community participation in 2 nutrition-sensitive interventions. Methods: A Multidimensional Index of Child Growth was calculated with the 5-y-old cohort of the Vietnam Young Lives Survey. Young Lives is a unique dataset that has information on community participation in the design and implementation stages of 2 interventions: a health and a water, sanitation, and hygiene (WASH) intervention. Community participation during the interventions was recorded retrospectively with interviews at the household level. Ordinary least-squares and quantile regressions were estimated using data on 240 children. A Multidimensional Index of Child Advantage, sex, and location (urban/rural) were included as control covariates. Results: A positive association (post hoc statistical power = 0.859) was estimated for community participation during the design stage of the WASH intervention, particularly for the most deprived children (P < 0.05). Negative effects were estimated for the health intervention during the design stage (P < 0.05) and no significant effects were found for community participation during the implementation stage of the interventions. Instead of the physical dimension, the significant associations in the design stage were related to the nonphysical dimension of child growth. Inequalities in multidimensional growth were found for children living in rural areas, but not for girls. Conclusions: The association between community participation and multidimensional child growth is indicative of the importance of community participation during the design phase of interventions, in particular for the nonphysical dimensions of child growth related to social and psychological factors. The benefits of participation were greater for urban children compared with rural children, which deserves further attention.

Work-related and personal predictors of COVID-19 transmission: evidence from the UK and USA.

OBJECTIVE: To develop evidence of work-related and personal predictors of COVID-19 transmission. SETTING AND RESPONDENTS: Data are drawn from a population survey of individuals in the USA and UK conducted in June 2020. BACKGROUND METHODS: Regression models are estimated for 1467 individuals in which reported evidence of infection depends on work-related factors as well as a variety of personal controls. RESULTS: The following themes emerge from the analysis. First, a range of work-related factors are significant sources of variation in COVID-19 infection as indicated by self-reports of medical diagnosis or symptoms. This includes evidence about workplace types, consultation about safety and union membership. The partial effect of transport-related employment in regression models makes the chance of infection over three times more likely while in univariate analyses, transport-related work increases the risk of infection by over 40 times in the USA. Second, there is evidence that some home-related factors are significant predictors of infection, most notably the sharing of accommodation or a kitchen. Third, there is some evidence that behavioural factors and personal traits (including risk preference, extraversion and height) are also important. CONCLUSIONS: The paper concludes that predictors of transmission relate to work, transport, home and personal factors. Transport-related work settings are by far the greatest source of risk and so should be a focus of prevention policies. In addition, surveys of the sort developed in this paper are an important source of information on transmission pathways within the community.

Stigma of persons with disabilities in South Africa: Uncovering pathways from discrimination to depression and low self-esteem.

Despite the fact that universal inclusion is a basic principle of the Sustainable Development Goals, the inclusion of persons with disabilities in humanitarian interventions and development policies remains elusive. Persons with disabilities face high risks of poverty, poor nutrition, limited inclusion in labor markets and poor mental health as a result. Stigma is likely to play a negative role in this regard and yet, no study has investigated the impact of stigma on depression and self-esteem of persons with disabilities. To address this gap in the literature, we conducted in June 2017 a random sample disability case control household study in Soweto, a township in Johannesburg, South Africa. Using propensity score analysis and structural equation modeling, we investigated the relationship between disability, stigma, depression and self-esteem controlling for socioeconomic covariates. Our main empirical results showed that stigma significantly mediates the association between disability and higher depression on the one hand and between disability and lower self-esteem on the other. This mediating effect exists even after controlling for age, gender, marital status, education, employment and wealth. We also found strong direct associations between disability and depressive mood, somatic indicators and negative feelings such as unhappiness and low self-esteem. Unemployment aggravates depression and low self-esteem while low education worsens self-esteem only. In addition, depression exacerbates low self-esteem. Both unemployment and low education are more common among persons with disabilities aggravating the disability, depression, poor self-esteem nexus. Similarly, persons with disabilities who are more likely to be depressed are also at higher risk of low self-esteem. These results point to a vicious reinforcing circle of exclusion from society, despair and self-deprecation, which could prove difficult to break. Substantial psycho-social support and anti-stigma policies anchored in local cultural values, engaging persons with disabilities and their communities, are required to break this vicious circle.

Disability and multidimensional quality of life: A capability approach to health status assessment.

This paper offers an approach to assessing quality of life, based on Sen's (1985) theory, which it uses to understand loss in quality of life due to mobility impairment. Specifically, it provides a novel theoretical analysis that is able to account for the possibility that some functionings may increase when a person's capabilities decrease, if substitution effects are large enough. We then develop new data consistent with our theoretical framework that permits comparison of quality of life between those with a disability (mobility impairment) and those without. Empirical results show that mobility impairment has widespread rather than concentrated impacts on capabilities and is associated with high psychological costs. We also find evidence that a small number of functionings are higher for those with a disability, as our theory allows. The paper concludes by discussing possible implications for policy and health assessment methods.

Towards a Multi-Dimensional Index of Child Growth to Combat the Double Burden of Malnutrition.

BACKGROUND: There is growing awareness in the field of public health that combatting the double burden of malnutrition requires approaches that address its multi-dimensional origin, rather than focusing primarily on the biomedical domain. Current frameworks of malnutrition like the UNICEF conceptual framework, and the Lancet Series 2013 framework have been instrumental in understanding the determinants of malnutrition and developing appropriate interventions. However, these frameworks fail to explicitly address issues of agency, that is, about being able to pursue one's goal. The capability approach as originally developed by Amartya Sen includes agency in the causal chain. Summary and key Messages: In the past 5 years, the International Union of Nutritional Sciences Task Force "Towards a multi-dimensional index for child growth and development" has developed a capability framework for child growth, and conducted empirical research applying this framework. The working group discussed what would be needed to further develop the approach and explained the added value to international organisations and policy makers. We suggest developing an index of advantage that will be a proxy for a child's agency. We hypothesise that such an index will explain much of the variance in studying inequalities in child nutrition and thus call for action to improve this focal point.

Depression and economic status: evidence for non-linear patterns in women from Mexico.

BACKGROUND: While social determinants of health perspective might lead to the hypothesis that higher economic achievements should be associated with better mental health, the evidence for adults is mixed and inconclusive. AIM: We test the role of wealth as a predictor of depressive symptoms controlling for a number of socio-demographic covariates, with a specific interest in gender-specific patterns. METHODS: Using a nationally representative survey from Mexico (N = 44,618), we carry out multivariate regression analysis where we jointly model linear and quadratic measures of wealth to detect non-linear relations between depression and wealth. RESULTS: The paper reports clear evidence of an inverted-U relationship between depressive symptoms and wealth for females, whereas the relationship for males tends to be linear and decreasing with wealth as expected (though weak and significant only in the upper part of the wealth distribution). Our findings are robust to alternative empirical strategies and we discuss potential explanations for this novel finding. CONCLUSION: The paper confirms that the association between standards of living and depression is complex, due to the mediating role of socio-demographic characteristics and the existence of non-linearities not fully explored in the literature.

Varied patterns of catch-up in child growth: Evidence from Young Lives.

The development of human capabilities for many disadvantaged children around the world depends on growth recovery ('catch-up growth'). Here we develop a novel framework that allows different types of catch-up growth to be classified and estimated. We distinguish between catch-up in the mean of a group toward that of a healthy reference population versus catch-up within the group. We show these different growth types can be tested in a unified setting using a latent growth framework. We apply the results to four developing countries, using longitudinal data on 7641 children collected over the period 2002-2013. The results show catch-up growth rates are generally modest but vary significantly between countries, and that local environmental factors are material to variation in child growth trajectories. The paper discusses the benefits of the new framework versus current methods, shows that the method is feasible, and suggests they call for intervention designs that are sensitive to community and country contexts.

Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH).

BACKGROUND: Patient reported outcome measures (PROMs) are widely used in mental healthcare research for quality of life assessment but most fail to capture the breadth of health and non-health domains that can be impacted. We report the psychometric validation of a novel, multi-dimensional instrument based on Amartya Sen's capability approach intended for use as an outcome measure in mental health research. METHODS: The Oxford Capabilities Questionnaire for Mental Health (OxCAP-MH) is a 16-item self-complete capability measure that covers multiple domains of functioning and welfare. Data for validation of the instrument were collected through a national randomised controlled trial of community treatment orders for patients with psychosis. Complete OxCAP-MH data were available for 172 participants. Internal consistency was established with Cronbach's alpha; an interclass correlation coefficient was used to assess test-retest reliability in a sub-sample (N = 50) tested one week apart. Construct validity was established by comparing OxCAP-MH total scores with established instruments of illness severity and functioning: EuroQol (EQ-5D), Brief Psychiatric Rating Scale (BPRS), Global Assessment of Functioning (GAF) and Objective Social Outcomes Index (SIX). Sensitivity was established by calculating standard error of measurement using distributional methods. RESULTS: The OxCAP-MH showed good internal consistency (Cronbach's alpha 0.79) and test-retest reliability (ICC = 0.86). Convergent validity was evidenced by strong correlations with the EQ-5D (VAS 0.52, p < .001) (Utility 0.45, p < .001), and divergent validity through more modest associations with the BPRS (-0.41, p < .001), GAF (0.24, p < .001) and SIX (0.12, p = ns). A change of 9.2 points on a 0-100 scale was found to be meaningful on statistical grounds. CONCLUSIONS: The OxCAP-MH has demonstrable reliability and construct validity and represents a promising multi-dimensional alternative to existing patient-reported outcome measures for quality of life used in mental health research.

Operationalising the capability approach as an outcome measure in public health: The development of the OCAP-18.

There is growing interest in operationalising the capability approach to measure quality of life. This paper reports the results of a research project undertaken in 2007 that sought to reduce and refine a longer survey in order to provide a summary measure of wellbeing and capability in the realm of public health. The reduction and refinement of the questionnaire took place across a number of stages, using both qualitative (five focus group discussions and 17 in-depth interviews) and quantitative (secondary data analysis, N = 1048 and primary data collection using postal surveys and interviews, N = 45) approaches. The questionnaire was reduced from its original 60+ questions to 24 questions (including demographic questions). Each of Nussbaum's ten Central Human Capabilities are measured using one (or more) of the 18 specific capability items which are included in the questionnaire (referred to as the OCAP-18). Analysis of the questionnaire responses (N = 198) found that respondents differed with respect to the levels of capabilities they reported, and that these capabilities appear to be sensitive to one's gender, age, income and deprivation decile. An index of capability, estimated by assuming equal weight for each capability question, found that the average level of capability amongst respondents was 12.44 (range 3-17.75). This index was found to be highly correlated with a measure of health (EQ-5D) and wellbeing (global QoL), although some differences were apparent. This project operationalised the capability approach to produce an instrument to measure the effectiveness (and cost effectiveness) of public health interventions; the resulting OCAP-18 appears to be responsive and measure something supplementary to health and wellbeing, thus offers a promising addition to the current suite of outcome measures that are available.

Operationalising the capability approach for outcome measurement in mental health research.

Amartya Sen's multidimensional capability approach focuses on the importance of freedoms to be or do things people have reason to value. It is an alternative to standard utilitarian welfarism, the theoretical approach to quality-adjusted life years (QALYs) and cost-utility analyses. Despite the limitations of the utility approach in capturing non-health benefits and broader welfare inequalities, there have been very limited applications of the capability approach in the mental health context where these issues are imperative. We report the development and application of a multidimensional instrument, the OxCAP-MH, which aims to operationalise the capability approach for outcome measurement in mental health research. The study was carried out as part of an ongoing programme on community coercion experienced by service users with severe and enduring mental illness being treated using Community Treatment Orders. Capabilities data were collected at baseline in the OCTET RCT for 333 'revolving door' mental health service users who were in involuntary hospital treatment at the time of recruitment in England (2008-2011). The research focused on the identification of capabilities domains most affected by mental illness and their association with socio-demographic and clinical factors and other measures of well-being such as the EQ-5D and Global Assessment of Functioning (GAF) scales. The OxCAP-MH item response rate was 90%-68%. There were significant correlations between service users' overall capability scores and the GAF, EQ-5D VAS and EQ-5D-3L utilities (corr = 0.249, 0.514, 0.415, respectively). The most affected capability domains were: 'Daily activities', 'Influencing local decisions', 'Enjoying recreation', 'Planning one's life' and 'Discrimination'. Age had a mixed effect, while female service users and those with a primary diagnosis of schizophrenia or longer illness duration reported significantly lower capability scores. The results support the feasibility and validity of directly measuring human capabilities for the mentally ill and the potential for applying the approach to outcome measurement.

Equity, capabilities and health.

This paper provides an introduction to a collection of articles concerning the relevance of Amartya Sen's work, the capability approach and related ethical claims, to health-care rationing.

The nature of procedural preferences for health-care rationing decisions.

Substantial debate on the appropriate foundations of economic evaluation in health-care has been conducted between welfarists and non-welfarists in the health economics literature. This has focussed on defining and measuring appropriate outcomes. However, there has been little discussion of the importance of procedures. This paper examines six dimensions of procedure in relation to health-care rationing which are drawn from existing literature and previous empirical investigation. A survey of the general public was used to test for preferences for each dimension of procedure. Results show that for each dimension the importance differed according to the level of decision-making (we tested decision-making at the level of the individual doctor, health authority and government). We identified three distinct clusters of respondents who can be broadly described as "proceduralists" (47%), "pluralists" (15%) and "anti-consequentialists" (38%). The paper concludes that consequentialism is insufficient to provide the conceptual framework that public decision-making in health requires, although this does not mean that consequences are unimportant.

The integration of claims to health-care: a programming approach.

The paper contributes to the use of social choice and welfare theory in health economics by developing and applying the integration of claims framework to health-care rationing. Related to Sen's critique of neo-classical welfare economics, the integration of claims framework recognises three primitive sources of claim: consequences, deontology and procedures. A taxonomy is presented with the aid of which it is shown that social welfare functions reflecting these claims individually or together, can be specified. Some of the resulting social choice rules can be regarded as generalisations of health-maximisation and all have normative justifications, though the justifications may not be universally acceptable. The paper shows how non-linear programming can be used to operationalise such choice rules and illustrates their differential impacts on the optimal provision of health-care. Following discussion of relations to the capabilities framework and the context in which rationing occurs, the paper concludes that the integration of claims provides a viable framework for modelling health-care rationing that is technically rigorous, general and tractable, as well as being consistent with relevant moral considerations and citizen preferences.