Menu choice stated preference tasks to capture demand complementarity in health

Health programs/services are often bundled, allowing for both substitution and complementarity. We adapt Discrete Choice Experiments to capture bundling, with application to a case study of exercise and nutrition; complementarity arises due to the goal of improving health. Our contributions are (1) to present a menu-based choice experiment to explore bundling; (2) to analyse the menu-based data using an extension of the choice set generation model (GenL) to account for correlations between bundles and component singles. A nationally representative sample of 333 Australians chose between a nutrition program only; exercise program only; both nutrition and exercise programs; or their status quo. Overall, we show that by incorporating the menu choice task and introducing the combined alternative, we capture a significant portion of the population seeking both exercise and nutrition components. We estimate a latent class GenL model, and identify two latent classes: Class 1 preferred to choose programs on offer, and Class 2 was more price sensitive and had a stronger preference for staying with their status quo. We show in the post-estimation analysis that heterogeneity in preferences translates into heterogeneity in the way alternatives are bundled, indicating that the combined offering is appealing to specific classes of individuals who prefer bundling. By implementing the menu choice task, researchers and policymakers can effectively identify, cater to and influence the demand for combined exercise and nutrition options, leading to more targeted and impactful interventions in promoting healthier lifestyle choices.

Preparing for future pandemics: A multi-national comparison of health and economic trade-offs

Government investment in preparing for pandemics has never been more relevant. The COVID-19 pandemic has stimulated debate regarding the trade-offs societies are prepared to make between health and economic activity. What is not known is: (1) how much the public in different countries are prepared to pay in forgone GDP to avoid mortality from future pandemics; and (2) which health and economic policies the public in different countries want their government to invest in to prepare for and respond to the next pandemic. Using a future-focused, multi-national discrete choice experiment, we quantify these trade-offs and find that the tax-paying public is prepared to pay $3.92 million USD (Canada), $4.39 million USD (UK), $5.57 million USD (US) and $7.19 million USD (Australia) in forgone GDP per death avoided in the next pandemic. We find the health policies that taxpayers want to invest in before the next pandemic and the economic policies they want activated once the next pandemic hits are relatively consistent across the countries, with some exceptions. Such results can inform economic policy responses and government investment in health policies to reduce the adverse impacts of the next pandemic.

Systematic Review of the Psychometric Performance of Generic Childhood Multi-attribute Utility Instruments

BACKGROUND

Childhood multi-attribute utility instruments (MAUIs) can be used to measure health utilities in children (aged ≤ 18 years) for economic evaluation. Systematic review methods can generate a psychometric evidence base that informs their selection for application. Previous reviews focused on limited sets of MAUIs and psychometric properties, and only on evidence from studies that directly aimed to conduct psychometric assessments.

OBJECTIVE

This study aimed to conduct a systematic review of psychometric evidence for generic childhood MAUIs and to meet three objectives: (1) create a comprehensive catalogue of evaluated psychometric evidence; (2) identify psychometric evidence gaps; and (3) summarise the psychometric assessment methods and performance by property.

METHODS

A review protocol was registered with the Prospective Register of Systematic Reviews (PROSPERO; CRD42021295959); reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline. The searches covered seven academic databases, and included studies that provided psychometric evidence for one or more of the following generic childhood MAUIs designed to be accompanied by a preference-based value set (any language version): 16D, 17D, AHUM, AQoL-6D, CH-6D, CHSCS-PS, CHU9D, EQ-5D-Y-3L, EQ-5D-Y-5L, HUI2, HUI3, IQI, QWB, and TANDI; used data derived from general and/or clinical childhood populations and from children and/or proxy respondents; and were published in English. The review included 'direct studies' that aimed to assess psychometric properties and 'indirect studies' that generated psychometric evidence without this explicit aim. Eighteen properties were evaluated using a four-part criteria rating developed from established standards in the literature. Data syntheses identified psychometric evidence gaps and summarised the psychometric assessment methods/results by property.

RESULTS

Overall, 372 studies were included, generating a catalogue of 2153 criteria rating outputs across 14 instruments covering all properties except predictive validity. The number of outputs varied markedly by instrument and property, ranging from 1 for IQI to 623 for HUI3, and from zero for predictive validity to 500 for known-group validity. The more recently developed instruments targeting preschool children (CHSCS-PS, IQI, TANDI) have greater evidence gaps (lack of any evidence) than longer established instruments such as EQ-5D-Y, HUI2/3, and CHU9D. The gaps were prominent for reliability (test-retest, inter-proxy-rater, inter-modal, internal consistency) and proxy-child agreement. The inclusion of indirect studies (n = 209 studies; n = 900 outputs) increased the number of properties with at least one output of acceptable performance. Common methodological issues in psychometric assessment were identified, e.g., lack of reference measures to help interpret associations and changes. No instrument consistently outperformed others across all properties.

CONCLUSION

This review provides comprehensive evidence on the psychometric performance of generic childhood MAUIs. It assists analysts involved in cost-effectiveness-based evaluation to select instruments based on the application-specific minimum standards of scientific rigour. The identified evidence gaps and methodological issues also motivate and inform future psychometric studies and their methods, particularly those assessing reliability, proxy-child agreement, and MAUIs targeting preschool children.

Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review

BACKGROUND AND OBJECTIVES

Valuing children's health states for use in economic evaluations is globally relevant and is of particular relevance in jurisdictions where a cost-utility analysis is the preferred form of analysis for decision making. Despite this, the challenges with valuing child health mean that there are many remaining questions for debate about the approach to elicitation of values. The aim of this paper was to identify and describe the methods used to value children's health states and the specific issues that arise in the use of these methods.

METHODS

We conducted a systematic search of electronic databases to identify studies published in English since 1990 that used preference elicitation methods to value child and adolescent (under 18 years of age) health states. Eligibility criteria comprised valuation studies concerning both child-specific patient-reported outcome measures and child health states defined in other ways, and methodological studies of valuation approaches that may or may not have yielded a value set algorithm.

RESULTS

A total of 77 eligible studies were identified from which data on country setting, aims, condition (general population or clinically specific), sample size, age of respondents, the perspective that participants were asked to adopt, source of values (respondents who completed the preference elicitation tasks) and methods questions asked were extracted. Extracted data were classified and evaluated using narrative synthesis methods. The studies were classified into three groups: (1) studies comparing elicitation methods (n = 30); (2) studies comparing perspectives (n = 23); and (3) studies where no comparisons were presented (n = 26); selected studies could fall into more than one group. Overall, the studies varied considerably both in methods used and in reporting. The preference elicitation tasks included time trade-off, standard gamble, visual analogue scaling, rating/ranking, discrete choice experiments, best-worst scaling and willingness to pay elicited through a contingent valuation. Perspectives included adults' considering the health states from their own perspective, adults taking the perspective of a child (own, other, hypothetical) and a child/adolescent taking their own or the perspective of another child. There was some evidence that children gave lower values for comparable health states than did adults that adopted their own perspective or adult/parents that adopted the perspective of children.

CONCLUSIONS

Differences in reporting limited the conclusions that can be formed about which methods are most suitable for eliciting preferences for children's health and the influence of differing perspectives and values. Difficulties encountered in drawing conclusions from the data (such as lack of consensus and poor reporting making it difficult for users to choose and interpret available values) suggest that reporting guidelines are required to improve the consistency and quality of reporting of studies that value children's health using preference-based techniques.

Testing the Impact of Familiarity with Health Benefits Information on Dietary Supplement Choice in Pregnancy: An Online Choice Experiment

To help meet the increased requirements for critical nutrients during and around pregnancy, supplementation with essential nutrients is recommended. This study aims to determine how the previous awareness of nutrient health benefits and/or the provision of this information influences the importance placed on nutrients (folate, iodine, omega-3 fatty acids, and vitamin D) when choosing between dietary supplement products for pregnancy. Discrete choice experiment data were collected as part of a cross-sectional online survey administered to 857 pregnant women living in Australia. Four segments of women were identified that differ in their preference criteria when choosing among dietary supplement products for pregnancy. When choosing between products, the reinforcement of perceived health benefits (i.e., showing information on health benefits to those already aware of the benefits) was most effective at increasing the importance of folate (in all segments) and iodine (in two segments, 63% of the sample). Neither prior awareness of health benefits alone nor information provided at the point-of-purchase without prior awareness were enough to increase the importance of folate. Our findings suggest a need for simultaneous strategies that (1) provide information on health benefits before purchase and (2) ensure that information on health benefits is available at the point-of-purchase.

Systematic Review of Conceptual, Age, Measurement and Valuation Considerations for Generic Multidimensional Childhood Patient-Reported Outcome Measures

BACKGROUND AND AIMS

Patient-reported outcome measures (PROMs) for children (aged ≤ 18 years) present methodological challenges. PROMs can be categorised by their diverse underlying conceptual bases, including functional, disability and health (FDH) status; quality of life (QoL); and health-related quality of life (HRQoL). Some PROMs are designed to be accompanied by preference weights. PROMs should account for childhood developmental differences by incorporating age-appropriate health/QoL domains, guidance on respondent type(s) and design. This systematic review aims to identify generic multidimensional childhood PROMs and synthesise their characteristics by conceptual basis, target age, measurement considerations, and the preference-based value sets that accompany them.

METHODS

The study protocol was registered in the Prospective Register of Systematic Reviews (CRD42021230833), and reporting followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conducted systematic database searches for generic multidimensional childhood PROMs covering the period 2012-2020, which we combined with published PROMs identified by an earlier systematic review that covered the period 1992-2011. A second systematic database search identified preference-based value sets for generic multidimensional PROMs. The PROMs were categorised by conceptual basis (FDH status, QoL and HRQoL) and by target age (namely infants and pre-schoolers aged < 5 years, pre-adolescents aged 5-11, adolescents aged 12-18 and multi-age group coverage). Descriptive statistics assessed how PROM characteristics (domain coverage, respondent type and design) varied by conceptual basis and age categories. Involvement of children in PROM development and testing was assessed to understand content validity. Characteristics of value sets available for the childhood generic multidimensional PROMs were identified and compared.

RESULTS

We identified 89 PROMs, including 110 versions: 52 FDH, 29 QoL, 12 HRQoL, nine QoL-FDH and eight HRQoL-FDH measures; 20 targeted infants and pre-schoolers, 29 pre-adolescents, 24 adolescents and 37 for multiple age groups. Domain coverage demonstrated development trajectories from observable FDH aspects in infancy through to personal independence and relationships during adolescence. PROMs targeting younger children relied more on informant report, were shorter and had fewer ordinal scale points. One-third of PROMs were developed following qualitative research or surveys with children or parents for concept elicitation. There were 21 preference-based value sets developed by 19 studies of ten generic multidimensional childhood PROMs: seven were based on adolescents' stated preferences, seven were from adults from the perspective of or on behalf of the child, and seven were from adults adopting an adult's perspective. Diverse preference elicitation methods were used to elicit values. Practices with respect to anchoring values on the utility scale also varied considerably. The range and distribution of values reflect these differences, resulting in value sets with notably different properties.

CONCLUSION

Identification and categorisation of generic multidimensional childhood PROMs and value sets by this review can aid the development, selection and interpretation of appropriate measures for clinical and population research and cost-effectiveness-based decision-making.

Choosing and Managing Aged Care Services from Afar: What Matters to Australian Long-Distance Care Givers

This research aims to identify the factors that influence caregivers' decisions about the aged care providers they select for their elder relatives when caring from a distance and what they value once they have engaged a service. Adult long-distance carers for older relatives living within Australia were purposively sampled and they participated in audio-recorded interviews. A thematic analysis was employed to investigate the data. A sample of 13 participants enabled data saturation with no new major themes identified in the final three interviews. Participants were 50 to 65 years (Mean = 59.8) and mostly (77%) female. Four themes emerged relating to selection of care providers: (1) availability of care, (2) financial arrangements, (3) proximity and location, and (4) reputation of care provider. Five themes detailed valued qualities of care: (1) vigilant monitoring and responsivity, (2) communication with family, (3) flexibility and proactiveness of care, (4) staffing, and (5) access to appropriate and holistic care to maintain wellbeing. Long-distance caregivers face barriers in selecting and managing aged care services from afar within a complex Australian aged care system. They strongly value regular, proactive communication about the wellbeing of their relatives and may be particular beneficiaries of communication and assistive monitoring technologies.

Development of Population Tariffs for the ICECAP-A Instrument for Hungary and their Comparison With the UK Tariffs

OBJECTIVES

The ICEpop CAPability measure for Adults (ICECAP-A) was developed to assess the capability well-being of adults for use in economic evaluations. Currently, ICECAP-A tariffs are available only for the UK population. The objectives of this study were to develop a Hungarian tariff set for the ICECAP-A instrument and to explore intercountry differences between the Hungarian and the UK value sets.

METHODS

A survey was conducted by computer-assisted personal interviews on a sample representative of the Hungarian adult population (N = 1000) to elicit their preferences regarding ICECAP-A attributes with the use of a best-worst scaling choice task. A latent class multinomial logit model with continuous variance scale was used to estimate the weights for each of the 4 capability levels of all 5 ICECAP-A attributes, namely, attachment, stability, achievement, enjoyment, and autonomy.

RESULTS

The model identified 2 preference classes with approximately equal share. The first class had a stronger relative preference for autonomy and achievement, whereas the second class had a strong preference for attachment. Multivariate analysis of the classes revealed that women, pensioners, people who are married or living in a partnership, and people with poorer health status are characteristics associated with the latter class membership (preference for attachment). Population tariffs were estimated from the model. Overall, attachment was found to be the most important attribute, followed by stability, enjoyment, achievement, and autonomy.

CONCLUSIONS

Hungarian tariffs are largely consistent with those found for the United Kingdom; nevertheless, autonomy seems to be less important in Hungary compared with the United Kingdom.

German tariffs for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluations at the end of life

OBJECTIVES

Economic evaluations often use preference-based value sets (tariffs) for health-related quality of life to quantify health effects. For wellbeing at the end of life, issues beyond health-related quality of life may be important. Therefore, the ICECAP Supportive Care Measure (ICECAP-SCM), based on the capability approach, was developed. A validated German ICECAP-SCM version was published recently. However, tariffs for the German ICECAP-SCM are not available. Therefore, the aim was to determine tariffs for the ICECAP-SCM based on preferences of the German general population.

METHODS

An online sample of 2996 participants completed a best-worst scaling (BWS) and a discrete choice experiment (DCE). BWSs required participants to choose the best and worst statement within the same capability state, whereas DCEs required participants to trade-off between two capability states. First, BWS and DCE data were analyzed separately. Subsequently, combined data were analyzed using scale-adjusted conditional logit latent class models. Models were selected based on the stability of solutions and the Bayesian information criterion.

RESULTS

The two latent class model was identified to be optimal for the BWS, DCE, and combined data, and was used to derive tariffs for the ICECAP-SCM capability states. BWS data captured differences in ICECAP-SCM scale levels, whereas DCE data additionally explained interactions between the seven ICECAP-SCM attributes.

DISCUSSION

The German ICECAP-SCM tariffs can be used in addition to health-related quality of life to quantify effectiveness in economic evaluations. The tariffs based on BWS data were similar for Germany and the UK, whereas the tariffs based on combined data varied. We would recommend to use tariffs based on combined data in German evaluations. However, only results on BWS data are comparable between Germany and the UK, so that tariffs based on BWS data should be used when comparing results between Germany and the UK.

Mapping the PedsQL™ onto the CHU9D: An Assessment of External Validity in a Large Community-Based Sample

BACKGROUND

Mapping algorithms have been indicated as a second-best solution for estimating health state utilities for the calculation of quality-adjusted life-years within cost-utility analysis when no generic preference-based measure is incorporated into the study. However, the predictive performance of these algorithms may be variable and hence it is important to assess their external validity before application in different settings.

OBJECTIVE

The aim of this study was to assess the external validity and generalisability of existing mapping algorithms for predicting preference-based Child Health Utility 9D (CHU9D) utilities from non-preference-based Pediatric Quality of Life Inventory (PedsQL) scores among children and adolescents living with or without disabilities or health conditions.

METHODS

Five existing mapping algorithms, three developed using data from an Australian community population and two using data from a UK population with one or more self-reported health conditions, were externally validated on data from the Longitudinal Study of Australian Children (n = 6623). The predictive accuracy of each mapping algorithm was assessed using the mean absolute error (MAE) and the mean squared error (MSE).

RESULTS

Values for the MAE (0.0741-0.2302) for all validations were within the range of published estimates. In general, across all ages, the algorithms amongst children and adolescents with disabilities/health conditions (Australia MAE: 0.2085-0.2302; UK MAE: 0.0854-0.1162) performed worse relative to those amongst children and adolescents without disabilities/health conditions (Australia MAE: 0.1424-0.1645; UK MAE: 0.0741-0.0931).

CONCLUSIONS

The published mapping algorithms have acceptable predictive accuracy as measured by MAE and MSE. The findings of this study indicate that the choice of the most appropriate mapping algorithm to apply may vary according to the population under consideration.

Assessing quality of care in nursing homes using discrete choice experiments: How does the level of cognitive functioning impact upon older people's preferences?

Traditionally older people with mild to moderate cognitive impairment have been excluded from preference elicitation studies in health economics. We assessed the impact of the level of cognitive functioning on preference and scale heterogeneity in a discrete choice experiment undertaken with 126 older people living in residential aged care homes in Australia between January 2015 and February 2016. Data was analysed using conditional logit models for sub-groups of participants with mild to moderate cognitive impairment (N = 52) and without cognitive impairment (N = 74), and for the entire study sample using a heteroscedastic conditional logit regression model allowing for scale heterogeneity. The Swait-Louviere test was undertaken to formally test for differences in preference and scale between the two groups. Cognitive impairment was not significant in the scale function of the heteroscedastic conditional logit model (beta = -0.403, SE=0.341, p = 0.237). There were no statistical differences in estimated vector of preference parameters based on the presence or absence of cognitive impairment (Chi-squared = 13, 25 df, p = 0.976). Although there was evidence of a small increase in response variability with increasing cognitive impairment this did not reach statistical significance, and we were able to combine responses for people with and without cognitive impairment. Overall, the findings provide support for the more widespread inclusion of older people with mild to moderate cognitive impairment in such studies.

Can the number of surgery delays and postponements due to unavailable instrumentation be reduced? Evaluating the benefits of enhanced collaboration between the sterilization and orthopedic surgery units

INTRODUCTION

The development of outpatient surgery, cost-reduction pressures and instrumentation storage limitations have led to their use "just-in-time". A recent study showed that stoppage of surgical procedures immediately before the incision (No-Go) was often due to the management of supplies and implantable medical devices. To our knowledge, since the development of outpatient surgery and the shortening of hospital stays, managing the flow of instrumentation has not been optimized. At our hospital, we used a two-prong approach consisting of a tool to manage instrumentation and working group from the sterilization and orthopedic surgery units. The aims of this study were to: 1) evaluate whether this approach led to better notification of the risk of supply shortage for instrumentation and 2) determine whether it could reduce by at least half operating room disruptions such as delays or cancellation of surgical procedures.

HYPOTHESIS

This approach results in better notification of the risk of supply shortage for instrumentation and reduces by at least half operating room disruptions such as delays or cancellation of surgical procedures.

MATERIAL AND METHODS

A tool was developed to manage instrumentation flow based on a retrospective analysis of data from 2015. This tool consisted of: (1) a list of instrumentation needed for each surgical procedure from an analysis of the surgical schedule and verification of traceability labels of the instrumentation actually used, (2) a list of reasons for supply shortage identified from an analysis of non-conformities occurring in the sterilization process of instrumentation kits. These analyses resulted in the development of checklists for instrument sets for each procedure, while identifying those with a high risk of shortage. In 2017, a working group focused on instrumentation was set up with personnel from the sterilization unit and the orthopedic surgery unit. Based on the check-lists and the schedule 24hours before the surgery, the sterilization unit alerted the surgery unit by email of the risk of material shortage; the surgery ward replied with potential changes to the material or the surgery planning. This approach (instrumentation management tool and working group) was named just-in-time (JIT). The main outcome was the number of notifications of potential supply shortage with and without JIT over a 10-week period. The secondary outcomes were the number of notifications resolved in time and the occurrence of operating room disruptions (delay>30min or postponement of surgery) related to unavailable instrumentation.

RESULTS

Nine reasons for potential supply shortage were identified such as instrumentation kits used for several types of procedures, those with fast rotation and low stock, or in double pathways (on loan and on deposit). The working group reported 163 potential shortages with JIT versus 41 without (p<10^-5), of which 150 (92.5%) were resolved. Thirteen operating room disruptions occurred; only one was not detected by the JIT approach.

CONCLUSION

Our JIT approach (instrumentation management tool and working group) is effective at preventing instrumentation supply shortages.

LEVEL OF EVIDENCE

III, prospective comparative study.

Scoring the Child Health Utility 9D instrument: estimation of a Chinese child and adolescent-specific tariff

PURPOSE

To derive children and adolescents' preferences for health states defined by the Chinese version of Child Health Utility 9D (CHU9D-CHN) instrument in China that can be used to estimate quality-adjusted life years (QALYs) for economic evaluation.

METHODS

A profile case best-worst scaling (BWS) and a time trade-off (TTO) method were combined to derive a Chinese-specific tariff for the CHU9D-CHN. The BWS survey recruited students from primary and high schools using a multi-stage random sampling method and was administered in a classroom setting, whilst the TTO survey adopted an interviewer-administrated conventional TTO task and was administered to a convenience sample of undergraduate students. A latent class modelling framework was adopted for analysing the BWS data.

RESULTS

Two independent surveys were conducted in Nanjing, China, including a valid sample of 902 students (mean age 13 years) from the BWS survey and a valid sample of 38 students (mean age 18 years) from the TTO survey. The poolability of the best and the worst responses was rejected and the optimal result based on the best responses only. The optimal model suggests the existence of two latent classes. The BWS estimates were further re-anchored onto the QALY scale using the TTO generated health state values via a mapping approach.

CONCLUSION

This study provides further insights into the use of the BWS method to generate health state values with young people and highlights the potential different decision rules that young people may employ for determining best vs. worst choices in this context.

Evaluating residents' preferences for remediation technologies: A choice experiment approach

The choice of technologies used to remediate contaminated environments is increasingly made through engagement with a multitude of stakeholders including affected residents. Despite this, little is known about how residents perceive remediation technology applications. In this study a choice experiment is designed to explore ways of understanding and measuring residents' preferences for different remediation technologies approaches using a sample of 944 residents in New South Wales, Australia. Analysis reveals that the residents' acceptability of remediation technologies can be explained by both the efficacy of the technology in improving the environmental quality of the community, and the reputational value of the technology. In particular it is found that residents prefer Monitor Natural Attenuation and Bioremediation to other remediation technologies. In particular they are willing to pay an increase in yearly taxes of $44.60 and $41.15 respectively for implementing such technologies instead of alternative remediation technologies like Chemical remediation.

Choice Defines Value: A Predictive Modeling Competition in Health Preference Research

OBJECTIVE

To identify which specifications and approaches to model selection better predict health preferences, the International Academy of Health Preference Research (IAHPR) hosted a predictive modeling competition including 18 teams from around the world.

METHODS

In April 2016, an exploratory survey was fielded: 4074 US respondents completed 20 out of 1560 paired comparisons by choosing between two health descriptions (e.g., longer life span vs. better health). The exploratory data were distributed to all teams. By July, eight teams had submitted their predictions for 1600 additional pairs and described their analytical approach. After these predictions had been posted online, a confirmatory survey was fielded (4148 additional respondents).

RESULTS

The victorious team, "Discreetly Charming Econometricians," led by Michał Jakubczyk, achieved the smallest χ², 4391.54 (a predefined criterion). Its primary scientific findings were that different models performed better with different pairs, that the value of life span is not constant proportional, and that logit models have poor predictive validity in health valuation.

CONCLUSIONS

The results demonstrated the diversity and potential of new analytical approaches in health preference research and highlighted the importance of predictive validity in health valuation.

Protocol for a systematic review of instruments for the assessment of quality of life and well-being in children and adolescents with cerebral palsy

INTRODUCTION

Cerebral palsy is the most common cause of physical disability in children and adolescents and is associated with impairments that may reduce the quality of life (QOL) of this population. Patient-reported outcome measures (PROMs) can facilitate the assessment of the effect of disease and treatment on QOL, from a patient viewpoint. The purpose of this systematic review is to identify PROMs that are used to measure QOL and subjective well-being (SWB) outcomes in young people with cerebral palsy and to evaluate the suitability of these PROMs for application in economic evaluations within this population.

METHODS AND ANALYSIS

MEDLINE, Scopus, the Cochrane Library, Web of Science Core Collection, EconLit, PsycINFO, CINAHL, EMBASE and Informit will be systematically searched from inception to date of search. Published peer-reviewed, English-language articles reporting PROMs measuring QOL or SWB outcomes in children and adolescents with cerebral palsy will be included. One reviewer will conduct the initial search and screen titles and abstracts for potentially eligible studies. The search will be performed in November 2017. To reduce the likelihood of reviewer selection bias, two other reviewers will independently screen a randomly selected subsample (10%) of the citations. Two reviewers will then retrieve full texts of potentially eligible studies and assess them against predefined inclusion criteria. The suitability of selected PROMs for use in economic evaluations of young people with cerebral palsy will be assessed using the International Society of Quality of Life Research recommended Minimum Standards and the Patient-Centered Outcomes and Comparative Effectiveness Research checklist. A narrative synthesis of extracted data will be presented including study descriptive data, PROMs measurement properties, settings in which they were applied and the valuation methods. Recommendations for practice on the selection of PROMs for use in economic evaluations of children and adolescents with cerebral palsy will be presented.

ETHICS AND DISSEMINATION

Ethical approval is not required as the proposed systematic review will not use primary data. The results of this study will be widely disseminated through publication in a peer-reviewed journal and conference presentation(s).

SYSTEMATIC REVIEW REGISTRATION NUMBER

International Prospective Register of Systematic Reviews number: CRD42016049746.

Complex Valuation: Applying Ideas from the Complex Intervention Framework to Valuation of a New Measure for End-of-Life Care

BACKGROUND

The UK Medical Research Council approach to evaluating complex interventions moves through development, feasibility, piloting, evaluation and implementation in an iterative manner. This approach might be useful as a conceptual process underlying complex valuation tasks.

OBJECTIVE

The objective of the study was to explore the applicability of such a framework using a single case study (valuing the ICECAP-Supportive Care Measure) and considering three key uncertainties: the number of response categories for the measure; experimental design; and the potential for using slightly different variants of the measure with the same value set.

METHODS

Three on-line pilot studies (n = 204, n = 100, n = 102) were undertaken during 2012 and 2013 with adults from the UK general population. Each used variants of discrete choice and best-worst scaling tasks; respondents were randomly allocated to different groups to allow exploration of the number of levels for the instrument (four or five), optimal experimental design and the values for alternative wording around prognosis. Conditional logit regression models were used in the analysis and variance scale factors were explored.

RESULTS

The five-level version of the measure seemed to result in simplifying heuristics. Plotting the variance scale factors suggested that best-worst scaling answers were approximately four times more consistent than the discrete choice answers. The likelihood ratio test indicated there was virtually no difference in values between the differently worded versions.

CONCLUSION

Rigorous piloting can improve the design of valuation studies. Thinking in terms of a 'complex valuation framework' may emphasise the importance of conducting and funding such rigorous pilots.

Nothing About Us Without Us? A Comparison of Adolescent and Adult Health-State Values for the Child Health Utility-9D Using Profile Case Best-Worst Scaling

The main objective of this study was to compare and contrast adolescent and adult values for the Child Health Utility-9D (CHU9D), a new generic preference-based measure of health-related quality of life designed for application in the economic evaluation of treatment and preventive programmes for children and adolescents. Previous studies have indicated that there may be systematic differences in adolescent and adult values for identical health states. An online survey including a series of best-worst scaling discrete choice experiment questions for health states defined by the CHU9D was administered to two general population samples comprising adults and adolescents, respectively. The results highlight potentially important age-related differences in the values attached to CHU9D dimensions. Adults, in general, placed less weight upon impairments in mental health (worried, sad, annoyed) and more weight upon moderate to severe levels of pain relative to adolescents. The source of values (adults or adolescents) has important implications for economic evaluation and may impact significantly upon healthcare policy.

Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm

In contrast to the recent proliferation of studies incorporating ordinal methods to generate health state values from adults, to date relatively few studies have utilised ordinal methods to generate health state values from adolescents. This paper reports upon a study to apply profile case best worst scaling methods to derive a new adolescent specific scoring algorithm for the Child Health Utility 9D (CHU9D), a generic preference based instrument that has been specifically designed for the estimation of quality adjusted life years for the economic evaluation of health care treatment and preventive programs targeted at young people. A survey was developed for administration in an on-line format in which consenting community based Australian adolescents aged 11-17 years (N = 1982) indicated the best and worst features of a series of 10 health states derived from the CHU9D descriptive system. The data were analyzed using latent class conditional logit models to estimate values (part worth utilities) for each level of the nine attributes relating to the CHU9D. A marginal utility matrix was then estimated to generate an adolescent-specific scoring algorithm on the full health = 1 and dead = 0 scale required for the calculation of QALYs. It was evident that different decision processes were being used in the best and worst choices. Whilst respondents appeared readily able to choose 'best' attribute levels for the CHU9D health states, a large amount of random variability and indeed different decision rules were evident for the choice of 'worst' attribute levels, to the extent that the best and worst data should not be pooled from the statistical perspective. The optimal adolescent-specific scoring algorithm was therefore derived using data obtained from the best choices only. The study provides important insights into the use of profile case best worst scaling methods to generate health state values with adolescent populations.

Valuing Child Health Utility 9D Health States with Young Adults: Insights from a Time Trade Off Study

OBJECTIVES

In contrast to the proliferation of studies incorporating health state values from adults of all ages, relatively few studies have reported upon the application of the time trade off (TTO) approach to generate health state values from populations of younger adults. This study sought to employ a conventional TTO approach to obtain values for a selection of Child Health Utility 9D (CHU9D) health states from a sample of young adults aged 18-29 years and to compare with the values generated from application of the original UK adult standard gamble scoring algorithm and the Australian adolescent scoring algorithm.

METHODS

A convenience sample of Flinders University undergraduate students aged 18-29 years were invited to participate in an interviewer administered conventional TTO task to value a series of five CHU9D health impairment states using the widely used variant developed by the York EQ-5D team.

RESULTS

A total of 152 students within the target age range were approached to participate in the study of whom n = 38 consented to participate, giving an overall participation rate of 25%. With the exception of one health state, the mean TTO values were consistently lower than those generated from application of the original scoring algorithm for the CHU9D elicited with adults of all ages. A significant proportion of participants (n = 17, 45%) considered the most severe CHU9D (PITS) state to be worse than death.

CONCLUSIONS

This study adds to a growing body of evidence indicating that the values attached to identical health states are typically lower for younger people in comparison with adults of all ages and dependent upon the elicitation method utilised. The values obtained are applicable for re-scaling raw CHU9D health state values obtained from younger adolescent samples using profile case best-worst scaling.

Assessing the Health-Related Quality of Life of Australian Adolescents: An Empirical Comparison of the Child Health Utility 9D and EQ-5D-Y Instruments

OBJECTIVES

To examine the performance of two recently developed preference-based instruments-the Child Health Utility 9D (CHU9D) and the EuroQol five-dimensional questionnaire Youth version (EQ-5D-Y)-in assessing the health-related quality of life (HRQOL) of Australian adolescents.

METHODS

An online survey including the CHU9D and the EQ-5D-Y, self-reported health status, and a series of sociodemographic questions was developed for administration to a community-based sample of adolescents (aged 11-17 years). Individual responses to both instruments were translated into utilities using scoring algorithms derived from the Australian adult general population.

RESULTS

A total of 2020 adolescents completed the online survey. The mean ± SD utilities of the CHU9D and the EQ-5D-Y were very similar (0.82 ± 0.13 and 0.83 ± 0.19, respectively), and the intraclass correlation coefficient (0.80) suggested good levels of agreement. Both instruments were able to discriminate according to varying levels of self-reported health status (P < 0.001). Although exhibiting good levels of agreement overall, some wide divergences were apparent at an individual level.

CONCLUSIONS

The study results are encouraging and illustrate the potential for both the CHU9D and the EQ-5D-Y to be more widely used for measuring and valuing the HRQOL of adolescent populations in Australia and internationally. Generating adolescent-specific scoring algorithms pertaining to each instrument and an empirical comparison of the resulting utilities is a natural next step. More evidence is required from the application of the CHU9D and the EQ-5D-Y in specific patient groups in adolescent health settings to inform the choice of instrument for measuring and valuing the HRQOL for the economic evaluation of adolescent health care treatments and services.

Scoring the Icecap-a capability instrument. Estimation of a UK general population tariff

This paper reports the results of a best-worst scaling (BWS) study to value the Investigating Choice Experiments Capability Measure for Adults (ICECAP-A), a new capability measure among adults, in a UK setting. A main effects plan plus its foldover was used to estimate weights for each of the four levels of all five attributes. The BWS study was administered to 413 randomly sampled individuals, together with sociodemographic and other questions. Scale-adjusted latent class analyses identified two preference and two (variance) scale classes. Ability to characterize preference and scale heterogeneity was limited, but data quality was good, and the final model exhibited a high pseudo-r-squared. After adjusting for heterogeneity, a population tariff was estimated. This showed that 'attachment' and 'stability' each account for around 22% of the space, and 'autonomy', 'achievement' and 'enjoyment' account for around 18% each. Across all attributes, greater value was placed on the difference between the lowest levels of capability than between the highest. This tariff will enable ICECAP-A to be used in economic evaluation both within the field of health and across public policy generally.

Circulating tumor cells monitored over time in lung cancer patients

11025

Background: Circulating tumor cell (CTC) detection and enumeration is a valuable tool for monitoring cancer patient status and outcome. While many current techniques employ immunomagnetic-enrichment based protocols focused on the importance of a particular CTC number as the indicator of patient status or outcome, we employ a cytometric, enrichment free approach using an immunofluorescent protocol to monitor CTC counts in patients with non-small cell lung cancer (NSCLC) over the course of treatment. Methods: Eligible patients had progressive stage IV NSCLC. The histological subtypes in the 42 cases for which the data was available included adenocarcinoma (22/42), squamous cell carcinoma (6/42), large cell undifferentiated carcinoma (3/42), and non-small cell lung carcinoma not further described, poorly differentiated, or with a mixed pattern (11/42). Blood samples were collected 3 wks, 3 mo, 6 mo, 9 mo, and 1 yr after the initial sample. CTCs were identified via immunofluorescence and cytometric analysis. Patient response to therapy was determined by RECIST every 3 months between time 0 and time 12 mo. Results: 80 of 109 patient samples have CTCs (73%) and all of the 52 patients tested have CTCs. 13 of 52 patients have CTC data for time 0 and 3 wks. Only 4 of these patients (30.8%) show a correlation linking CTC count change between time 0 and 3 wks and clinical assessment. 13 patients have CTC data for time 0 and 3 mo, 10 of whom show a correlation linking CTC count change between time 0 and 3 mo and clinical assessment. 7 of the 8 patients (87.5%) showing stable or partial response at 3 mo show a decrease in CTC count between time 0 and 3 mo. Five of the 6 patients (83.3%) clinically showing progressive disease at the 3 mo time point show an increase in CTC count between time 0 and 3 mo. The patients that do not show a correlation linking CTC count change between time 0 and 3 mo and clinical assessment at 3 mo show a correlation at the 6 mo time point. Conclusions: CTCs can be effectively enumerated in metastatic NSCLC patients, with the majority demonstrating CTCs in the setting of progressive disease. The change in CTC count at 3 mo, but not at 3 wks, correlates with radiographic response to chemotherapy. Further follow-up will determine the predictive value of CTC enumeration on survival.

No significant financial relationships to disclose.