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Purpose: Different health state utility (HSU) instruments produce different utilities for the same individuals, thereby compromising the intended comparability of economic evaluations of health care interventions. When developing crosswalks, previous studies have indicated nonlinear relationships. This paper inquires into the degree of nonlinearity across the four most widely used HSU-instruments and proposes exchange rates that differ depending on the severity levels of the health state utility scale.Methods: Overall, 7933 respondents from six countries, 1760 in a non-diagnosed healthy group and 6173 in seven disease groups, reported their health states using four different instruments: EQ-5D-5L, SF-6D, HUI-3 and 15D. Quantile regressions investigate the degree of nonlinear relationships between these instruments. To compare the instruments across different disease severities, we split the health state utility scale into utility intervals with 0.2 successive decrements in utility starting from perfect health at 1.00. Exchange rates (ERs) are calculated as the mean utility difference between two utility intervals on one HSU-instrument divided by the difference in mean utility on another HSU-instrument.Results: Quantile regressions reveal significant nonlinear relationships across all four HSU-instruments. The degrees of nonlinearities differ, with a maximum degree of difference in the coefficients along the health state utility scale of 3.34 when SF-6D is regressed on EQ-5D. At the lower end of the health state utility scale, the exchange rate from SF-6D to EQ-5D is 2.11, whilst at the upper end it is 0.38.Conclusion: Comparisons at different utility levels illustrate the fallacy of using linear functions as crosswalks between HSU-instruments. The existence of nonlinear relationships between different HSU-instruments suggests that level-specific exchange rates should be used when converting a change in utility on the instrument used, onto a corresponding utility change had another instrument been used. Accounting for nonlinearities will increase the validity of the comparison for decision makers when faced with a choice between interventions whose calculations of QALY gains have been based on different HSU-instruments. [ABSTRACT FROM AUTHOR]

This paper aims to describe delivery and birth outcomes of Aboriginal infants and their mothers in an urban setting on the east coast of Australia. The paper uses a causal pathway approach to consider the role of risk and protective factors for low birthweight. All mothers who delivered at Campbelltown Hospital between October 2005 and May 2007 were eligible. The study included 1,869 non-Aboriginal infants and 178 Aboriginal infants and their mothers. Information on delivery and birthweight was extracted from electronic medical records. Risk factors for poor outcomes were explored using regression and causal pathway analysis. Mothers of Aboriginal infants were younger than mothers of non-Aboriginal infants, and were more likely to be single, less educated, unemployed prior to pregnancy, and live in a disadvantaged neighbourhood. Health and service use was similar. They were significantly more likely to have a vaginal delivery than mothers of non-Aboriginal infants (77% cf 62.5%; χ = 14.6, P < 0.001) and less likely to receive intervention during delivery. Aboriginal infants (3,281.1 g) weighed 137.5 g (95%CI: 54-221 g; P = 0.001) less then non-Aboriginal infants (3,418.7 g). Gestational age, and single mother with incomplete education, prior unemployment, smoking, and living in a disadvantaged neighbourhood were associated with lower birthweight. Maternal vulnerability had a cumulative impact on birthweight. A causal pathway analysis demonstrated the associations between risk factors. [ABSTRACT FROM AUTHOR]

Background: The Pediatric Quality of Life Inventory™ 4.0 Short Form 15 Generic Core Scales (hereafter the PedsQL) and the Child Health Utility-9 Dimensions (CHU9D) are two generic instruments designed to measure health-related quality of life in children and adolescents in the general population and paediatric patient groups living with specific health conditions. Although the PedsQL is widely used among paediatric patient populations, presently it is not possible to directly use the scores from the instrument to calculate quality-adjusted life-years (QALYs) for application in economic evaluation because it produces summary scores which are not preference-based.Objective: This paper examines different econometric mapping techniques for estimating CHU9D utility scores from the PedsQL for the purpose of calculating QALYs for cost-utility analysis.Methods: The PedsQL and the CHU9D were completed by a community sample of 755 Australian adolescents aged 15-17 years. Seven regression models were estimated: ordinary least squares estimator, generalised linear model, robust MM estimator, multivariate factorial polynomial estimator, beta-binomial estimator, finite mixture model and multinomial logistic model. The mean absolute error (MAE) and the mean squared error (MSE) were used to assess predictive ability of the models.Results: The MM estimator with stepwise-selected PedsQL dimension scores as explanatory variables had the best predictive accuracy using MAE and the equivalent beta-binomial model had the best predictive accuracy using MSE.Conclusions: Our mapping algorithm facilitates the estimation of health-state utilities for use within economic evaluations where only PedsQL data is available and is suitable for use in community-based adolescents aged 15-17 years. Applicability of the algorithm in younger populations should be assessed in further research. [ABSTRACT FROM AUTHOR]

Background: Patient-reported outcome measures (PROMs) provide a measure of self-perceived health status or health-related quality of life. They have been used to support provider-patient decisions, healthcare delivery, and value-based healthcare models. A barrier to routine collection of PROMs is the perception that PROMs lack clinical utility. As such, it is important to establish clinicians' acceptability of the PROM prior to large-scale implementation. This study explored the acceptability of the routine use and collection of a generic PROM in healthcare services from the perspective of healthcare staff. Methods: Individual semi-structured interviews were completed from September 2020 to March 2021 with 26 staff from two multi-disciplinary community healthcare services in Melbourne, Australia. Interviews explored their experiences of using the EQ-5D-5L in their routine care. Interviews were recorded and transcribed verbatim. Data were analysed according to a framework approach, using inductive and deductive techniques. Results: Participants discussed the acceptability of the EQ-5D-5L with reference to four themes: practicalities of use; holistic nature; influence on client care; and influence on health service. Participants found the EQ-5D-5L quick and easy to administer, and appreciated that it measured multiple domains of health that were relevant to their clients' care. They believed the EQ-5D-5L helped to identify client problems, and inform service delivery. They also reported features that were less acceptable, including a lack of item specificity to some healthcare disciplines. Participants reported the challenge of managing conflict between their assessment of the client's health and the client's perspective of their own health, leading some to question whether the client could provide an accurate reflection of their own health. Conclusions: The EQ-5D-5L has several features that healthcare staff viewed as acceptable for routine collection and use in healthcare. Training on the validity of the patient reported perspective and broadening the scope of PROMs collection beyond the EQ-5D-5L should be considered to facilitate large-scale implementation. [ABSTRACT FROM AUTHOR]

Background: The measurement and valuation of health-related quality of life for and by young people are increasingly important, yet research on the impact of study perspective and validity of preferences obtained from young populations remains limited.Objective: The objective of this study was to evaluate the feasibility and validity of collecting EQ-5D Youth version (EQ-5D-Y) preferences from adolescents, adults, and adults from a child perspective.Methods: A profile case best-worst scaling (BWS) online survey was administered to representative Australian and Spanish adult (age ≥ 18 years) and child (age 11-17 years) samples. Adults were told to either answer from their own perspective or for a hypothetical 10-year-old child. Marginal best- and worst-choice frequencies, analysis of dominant choices, self-reported difficulty completing the tasks, and time to complete tasks were used to determine the validity of responses.Results: In Australia, 2134 adults and 1010 adolescents completed the survey. In Spain, 2007 adults and 1000 adolescents completed it. Analysis of marginal choice frequencies and dominant choices indicated that the pattern of responses between adolescents and adults was similar. For Australian respondents, having no mobility problems was rated as best by adolescents, while adults rated having no pain and discomfort as 'best'. In Spain, both adults and adolescents rated no pain or discomfort as 'best'. Australian adolescents rated very worried, sad or unhappy as 'worst', while Spanish adolescents, Spanish adults and Australian adults rated a lot of pain and discomfort as 'worst'.Conclusions: Results suggest preferences from adolescents using direct BWS are valid. Our descriptive analysis also suggest that there are age-related and country-specific differences in elicitation values for the EQ-5D-Y. [ABSTRACT FROM AUTHOR]

Background: The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality-of-life (QOL) questionnaire, EORTC QLQ-C30. The QLU-C10D contains ten dimensions (Physical, Role, Social and Emotional Functioning; Pain, Fatigue, Sleep, Appetite, Nausea, Bowel Problems), each with four levels. To be used in cost-utility analysis, country-specific valuation sets are required.Objective: The aim of this study was to provide Australian utility weights for the QLU-C10D.Methods: An Australian online panel was quota-sampled to ensure population representativeness by sex and age (≥ 18 years). Participants completed a discrete choice experiment (DCE) consisting of 16 choice-pairs. Each pair comprised two QLU-C10D health states plus life expectancy. Data were analysed using conditional logistic regression, parameterised to fit the quality-adjusted life-year framework. Utility weights were calculated as the ratio of each QOL dimension-level coefficient to the coefficient on life expectancy.Results: A total of 1979 panel members opted in, 1904 (96%) completed at least one choice-pair, and 1846 (93%) completed all 16 choice-pairs. Dimension weights were generally monotonic: poorer levels within each dimension were generally associated with greater utility decrements. The dimensions that impacted most on choice were, in order, Physical Functioning, Pain, Role Functioning and Emotional Functioning. Oncology-relevant dimensions with moderate impact were Nausea and Bowel Problems. Fatigue, Trouble Sleeping and Appetite had relatively small impact. The value of the worst health state was -0.096, somewhat worse than death.Conclusions: This study provides the first country-specific value set for the QLU-C10D, which can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30, prospectively and retrospectively. [ABSTRACT FROM AUTHOR]