The Inclusion of Spillover Effects in Economic Evaluations: Not an Optional Extra

A Systematic Review of Methods and Practice for Integrating Maternal, Fetal, and Child Health Outcomes, and Family Spillover Effects into Cost-Utility Analyses

BACKGROUND

Maternal-perinatal interventions delivered during pregnancy or childbirth have unique characteristics that impact the health-related quality of life (HRQoL) of the mother, fetus, and newborn child. However, maternal-perinatal cost-utility analyses (CUAs) often only consider either maternal or child health outcomes. Challenges include, but are not limited to, measuring fetal, newborn, and infant health outcomes, and assessing their impact on maternal HRQoL. It is also important to recognize the impact of maternal-perinatal health on family members' HRQoL (i.e., family spillover effects) and to incorporate these effects in maternal-perinatal CUAs.

OBJECTIVE

The aim was to systematically review the methods used to include health outcomes of pregnant women, fetuses, and children and to incorporate family spillover effects in maternal-perinatal CUAs.

METHODS

A literature search was conducted in Medline, Embase, EconLit, Cochrane Collection, Cumulative Index to Nursing and Allied Health Literature (CINAHL), International Network of Agencies for Health Technology Assessment (INAHTA), and the Pediatric Economic Database Evaluation (PEDE) databases from inception to 2020 to identify maternal-perinatal CUAs that included health outcomes for pregnant women, fetuses, and/or children. The search was updated to December 2022 using PEDE. Data describing how the health outcomes of mothers, fetuses, and children were measured, incorporated, and reported along with the data on family spillover effects were extracted.

RESULTS

Out of 174 maternal-perinatal CUAs identified, 62 considered the health outcomes of pregnant women, and children. Among the 54 quality-adjusted life year (QALY)-based CUAs, 12 included fetal health outcomes, the impact of fetal loss on mothers' HRQoL, and the impact of neonatal demise on mothers' HRQoL. Four studies considered fetal health outcomes and the effects of fetal loss on mothers' HRQoL. One study included fetal health outcomes and the impact of neonatal demise on maternal HRQoL. Furthermore, six studies considered the impact of neonatal demise on maternal HRQoL, while four included fetal health outcomes. One study included the impact of fetal loss on maternal HRQoL. The remaining 26 only included the health outcomes of pregnant women and children. Among the eight disability-adjusted life year (DALY)-based CUAs, two measured fetal health outcomes. Out of 174 studies, only one study included family spillover effects. The most common measurement approach was to measure the health outcomes of pregnant women and children separately. Various approaches were used to assess fetal losses in terms of QALYs or DALYs and their impact on HRQoL of mothers. The most common integration approach was to sum the QALYs or DALYs for pregnant women and children. Most studies reported combined QALYs and incremental QALYs, or DALYs and incremental DALYs, at the family level for pregnant women and children.

CONCLUSIONS

Approximately one-third of maternal-perinatal CUAs included the health outcomes of pregnant women, fetuses, and/or children. Future CUAs of maternal-perinatal interventions, conducted from a societal perspective, should aim to incorporate health outcomes for mothers, fetuses, and children when appropriate. The various approaches used within these CUAs highlight the need for standardized measurement and integration methods, potentially leading to rigorous and standardized inclusion practices, providing higher-quality evidence to better inform decision-makers about the costs and benefits of maternal-perinatal interventions. Health Technology Assessment agencies may consider providing guidance for interventions affecting future lives in future updates.

Social costs associated with fibromyalgia in Spain

BACKGROUND

Fibromyalgia is a chronic rheumatic disease of unknown aetiology, highly disabling and mainly affecting women. The aim of our work is to estimate, on a national scale, the economic impact of this disease on the employment of patients and non-professional (informal) care dimension.

METHODS

Survey on Disabilities, Autonomy and Dependency carried out in Spain in 2020/21 was used to obtain information on disabled individuals with AD and their informal caregivers. Six estimation scenarios were defined as base case, depending on whether the maximum daily informal caregiving time was censored or not, and on the approach chosen for the valuation of informal caregiving time (contingent valuation and replacement time). Another six conservative scenarios were developed using the minimum wage for the estimation of labour losses.

RESULTS

Our estimates range from 2,443.6 (willingness to pay, censored informal care time) to 7,164.8 million euros (replacement cost, uncensored informal care time) (base year 2021). Multivariate analyses identified that the degree of dependency of the person suffering from fibromyalgia is the main explanatory variable for both the probability of being employed and the time spent in informal care. Conservative scenarios estimates range from 1,807 to 6,528 million euros.

CONCLUSIONS

The high economic impact revealed should help to position a health problem that is relatively unknown in society and for which there are significant research and care gaps to be filled.

The Validity of the EuroQol Health and Wellbeing Short Version (EQ-HWB-S) Instrument in Parents of Children With and Without Health Conditions

BACKGROUND

 The EuroQol Health and Wellbeing Short Version (EQ-HWB-S) instrument has been developed to measure the health and wellbeing of care-recipients and their caregivers for use in economic evaluation.The EQ-HWB-S has nine items, and pilot UK preference weights have now been developed.

OBJECTIVE

We aimed to investigate the validity of the instrument in parents of children with and without health conditions.

METHODS

EQ-HWB-S data were sourced from an Australian paediatric multi-instrument comparison study. We analysed the baseline characteristics and response distribution of the EQ-HWB-S items. Assessment of known-group validity was conducted for EQ-HWB-S items, level sum-scores and preference-weighted scores, including partial effects. Known-group analyses included three child health variables and where caregivers reported coronavirus disease 2019 (COVID-19) had impacted their wellbeing. We included analyses across gender, controlled for child and parent demographic variables, and compared scores across child health conditions.

RESULTS

 Item responses were distributed as expected, with higher skew for mobility and activities. Parents experienced high levels of exhaustion. We detected significant differences between groups for level sum-scores and preference-weighted scores, as hypothesised; all tests were significant (p < 0.001), with moderate effect sizes (effect sizes were slightly higher for female than male parents). The regression analysis identified significantly different EQ-HWB-S scores for child health samples compared with the general population after controlling for demographic variables. Differences were observed between child health conditions.

CONCLUSION

The EQ-HWB-S is a useful instrument to measure parent quality of life for economic evaluation in this population. Data were limited to one time point; further research should investigate the instrument's sensitivity to change and test-retest reliability in this population.

The performance of the EQ-HWB-S as a measure of quality-of-life of caregivers in families that have experienced adverse events

PURPOSE

The recently developed EQ Health and Wellbeing Instrument (EQ-HWB) is a broad, generic measure of quality-of-life designed to be suitable for caregivers. The aim of this study was to investigate performance and validity of the 9-item version (EQ-HWB-S) for caregivers where families had experienced adverse-life-events.

METHODS

Using survey data from caregivers of children aged 0-8 years attending a community-health centre in 2021-2022, the general performance, feasibility, convergent and known-group validity, responsiveness-to-change, and test-retest reliability of the EQ-HWB-S was assessed. Twelve semi-structured interviews were conducted with survey respondents to assess acceptability and content validity.

RESULTS

The sample included  234 caregivers at baseline (81% female, mean age 36-years, 38% Australian-born) and 190 at 6-months follow-up. Most EQ-HWB-S item responses were evenly spread, except for 'Mobility'. The instrument showed good convergent validity with psychological distress (Kessler 6 (K6)) and personal-wellbeing (PWI-A) scales. EQ-HWB-S level sum-scores and preference-weighted scores were significantly different in all known-group analyses, in expected directions, and the instrument was responsive to change. For test-retest reliability, Intraclass Correlation Coefficients were excellent and individual item Kappa scores were moderate. The instrument was well received by interviewees who found the questions clear and relevant. The items were appropriate for parents experiencing adversity and carers of children with additional needs.

CONCLUSION

The EQ-HWB-S appeared valid, responsive to change, feasible, and well accepted by caregivers. By demonstrating the validity of the EQ-HWB-S in this hard-to-reach population of caregivers in families experiencing adverse events, this study adds to existing international evidence supporting its use.

Mapping of Family Reported Outcome Measure (FROM-16) scores to EQ-5D: algorithm to calculate utility values

OBJECTIVE

Although decision scientists and health economists encourage inclusion of family member/informal carer utility in health economic evaluation, there is a lack of suitable utility measures comparable to patient utility measures such those based on the EQ-5D. This study aims to predict EQ-5D-3L utility values from Family Reported Outcome Measure (FROM-16) scores, to allow the use of FROM-16 data in health economic evaluation when EQ-5D data is not available.

METHODS

Data from 4228 family members/partners of patients recruited to an online cross-sectional study through 58 UK-based patient support groups, three research support platforms and Welsh social services departments were randomly divided five times into two groups, to derive and test a mapping model. Split-half cross-validation was employed, resulting in a total of ten multinomial logistic regression models. The Monte Carlo simulation procedure was used to generate predicted EQ-5D-3L responses, and utility scores were calculated and compared against observed values. Mean error and mean absolute error were calculated for all ten validation models. The final model algorithm was derived using the entire sample.

RESULTS

The model was highly predictive, and its repeated fitting using multinomial logistic regression demonstrated a stable model. The mean differences between predicted and observed health utility estimates ranged from 0.005 to 0.029 across the ten modelling exercises, with an average overall difference of 0.015 (a 2.2% overestimate, not of clinical importance).

CONCLUSIONS

The algorithm developed will enable researchers and decision scientists to calculate EQ-5D health utility estimates from FROM-16 scores, thus allowing the inclusion of the family impact of disease in health economic evaluation of medical interventions when EQ-5D data is not available.

Examining how well economic evaluations capture the value of mental health

Health economics evidence informs health-care decision making, but the field has historically paid insufficient attention to mental health. Economic evaluations in health should define an appropriate scope for benefits and costs and how to value them. This Health Policy provides an overview of these processes and considers to what extent they capture the value of mental health. We suggest that although current practices are both transparent and justifiable, they have distinct limitations from the perspective of mental health. Most social value judgements, such as the exclusion of interindividual outcomes and intersectoral costs, diminish the value of improving mental health, and this reduction in value might be disproportionate compared with other types of health. Economic analyses might have disadvantaged interventions that improve mental health compared with physical health, but research is required to test the size of such differential effects and any subsequent effect on decision-making systems such as health technology assessment systems. Collaboration between health economics and the mental health sciences is crucial for achieving mental-physical health parity in evaluative frameworks and, ultimately, improving population mental health.

Recommendations for Emerging Good Practice and Future Research in Relation to Family and Caregiver Health Spillovers in Health Economic Evaluations: A Report of the SHEER Task Force

BACKGROUND

Omission of family and caregiver health spillovers from the economic evaluation of healthcare interventions remains common practice. When reported, a high degree of methodological inconsistency in incorporating spillovers has been observed.

AIM

To promote emerging good practice, this paper from the Spillovers in Health Economic Evaluation and Research (SHEER) task force aims to provide guidance on the incorporation of family and caregiver health spillovers in cost-effectiveness and cost-utility analysis. SHEER also seeks to inform the basis for a spillover research agenda and future practice.

METHODS

A modified nominal group technique was used to reach consensus on a set of recommendations, representative of the views of participating subject-matter experts. Through the structured discussions of the group, as well as on the basis of evidence identified during a review process, recommendations were proposed and voted upon, with voting being held over two rounds.

RESULTS

This report describes 11 consensus recommendations for emerging good practice. SHEER advocates for the incorporation of health spillovers into analyses conducted from a healthcare/health payer perspective, and more generally inclusive perspectives such as a societal perspective. Where possible, spillovers related to displaced/foregone activities should be considered, as should the distributional consequences of inclusion. Time horizons ought to be sufficient to capture all relevant impacts. Currently, the collection of primary spillover data is preferred and clear justification should be provided when using secondary data. Transparency and consistency when reporting on the incorporation of health spillovers are crucial. In addition, given that the evidence base relating to health spillovers remains limited and requires much development, 12 avenues for future research are proposed.

CONCLUSIONS

Consideration of health spillovers in economic evaluations has been called for by researchers and policymakers alike. Accordingly, it is hoped that the consensus recommendations of SHEER will motivate more widespread incorporation of health spillovers into analyses. The developing nature of spillover research necessitates that this guidance be viewed as an initial roadmap, rather than a strict checklist. Moreover, there is a need for balance between consistency in approach, where valuable in a decision making context, and variation in application, to reflect differing decision maker perspectives and to support innovation.

A Systematic Review of Methods Used by Pediatric Cost-Utility Analyses to Include Family Spillover Effects

BACKGROUND

A child's health condition affects family members' health and well-being. However, pediatric cost-utility analysis (CUA) commonly ignores these family spillover effects leading to an incomplete understanding of the cost and benefits of a child's health intervention. Methodological challenges exist in assessing, valuing, and incorporating family spillover effects.

OBJECTIVE

This study systematically reviews and compare methods used to include family spillover effects in pediatric CUAs.

METHODS

A literature search was conducted in MEDLINE, Embase, EconLit, Cochrane collection, CINAHL, INAHTA, and the Pediatric Economic Database Evaluation (PEDE) database from inception to 2020 to identify pediatric CUAs that included family spillover effects. The search was updated to 2021 using PEDE. The data describing in which family members spillover effects were measured, and how family spillover effects were measured, incorporated, and reported, were extracted. Common approaches were grouped conceptually. Further, this review identified theories or theoretical frameworks used to justify approaches for integrating family spillover effects into CUA.

RESULTS

Of 878 pediatric CUAs identified, 35 included family spillover effects. Most pediatric CUAs considered family spillover effects on one family member. Pediatric CUAs reported eight different approaches to measure the family spillover effects. The most common method was measuring the quality-adjusted life years (QALY) loss of the caregiver(s) or parent(s) due to a child's illness or disability using an isolated approach whereby family spillover effects were quantified in individual family members separately from other health effects. Studies used four approaches to integrate family spillover effects into CUA. The most common method was to sum children's and parents/caregivers' QALYs. Only two studies used a theoretical framework for incorporation of family spillover effects.

CONCLUSIONS

Few pediatric CUAs included family spillover effects and the observed variation indicated no consensus among researchers on how family spillover effects should be measured and incorporated. This heterogeneity is mirrored by a lack of practical guidelines by Health Technology Assessment (HTA) agencies or a theoretical foundation for including family spillover effects in pediatric CUA. The results from this review may encourage researchers to develop a theoretical framework and HTA agencies to develop guidelines for including family spillover effects. Such guidance may lead to more rigorous and standardized methods for including family spillover effects and better-quality evidence to inform decision-makers on the cost-effectiveness of pediatric health interventions.

On spillovers in economic evaluations: definition, mapping review and research agenda

An important issue in economic evaluations is determining whether all relevant impacts are considered, given the perspective chosen for the analysis. Acknowledging that patients are not isolated individuals has important implications in this context. Increasingly, the term "spillovers" is used to label consequences of health interventions on others. However, a clear definition of spillovers is lacking, and as a result, the scope of the concept remains unclear. In this study, we aim to clarify the concept of spillovers by proposing a definition applicable in health economic evaluations. To illustrate the implications of this definition, we highlight the diversity of potential spillovers through an expanded impact inventory and conduct a mapping review that outlines the evidence base for the different types of spillovers. In the context of economic evaluations of health interventions, we define spillovers as all impacts from an intervention on all parties or entities other than the users of the intervention under evaluation. This definition encompasses a broader range of potential costs and effects, beyond informal caregivers and family members. The expanded impact inventory enables a systematic approach to identifying broader impacts of health interventions. The mapping review shows that the relevance of different types of spillovers is context-specific. Some spillovers are regularly included in economic evaluations, although not always recognised as such, while others are not. A consistent use of the term "spillovers", improved measurement of these costs and effects, and increased transparency in reporting them are still necessary. To that end, we propose a research agenda.

A novel set of Austrian reference unit costs for comprehensive societal perspectives consistent with latest European costing methods for economic evaluations

Decision making in public health often happens against the background of scarce resources. The systematic use of economic evaluations can be a main enabler in the alignment of public health goals with budgetary constraints. However, the lack of standardized methodology in terms of costing method and perspective are a critical barrier to the implementation of economic evaluations and the international comparability of results. We present a novel set of 22 reference unit costs (RUCs) optimized for cross-sectoral economic evaluations in Austria suitable for international comparability calculated using the standardized PECUNIA RUC Template. The common framework for costing and reporting, as well as the easy availability of the RUCs will reduce the burden on researchers and policy makers in future economic evaluations. The higher quality, accuracy, transparency and availability of economic evidence for policy design will help to improve the efficiency of public health-relevant healthcare decisions and make it easier for policy makers to bring funding arrangements and decision making across multiple sectors in line with Health-in-All-Policies goals.

Choosing the Best Instrument for Measuring Health Spillover Effect in Caregivers of Patients With Multiple Sclerosis

OBJECTIVES

To measure the health spillover effect in caregivers of patients with multiple sclerosis (MS), we aimed to select the best instrument from 2 common health-related quality of life (QoL) instruments, the 3-level EQ-5D (EQ-5D-3L) and the Health Utilities Index Mark 3 (HUI-3), by assessing them.

METHODS

Using consecutive sampling, 452 primary caregivers of patients with MS were asked to fill out a Care-related QoL instrument (CarerQol-7D), EQ-5D-3L, HUI-3, and the Center for Epidemiologic Studies Depression Scale between October 2019 and May 2020. Convergent and clinical validity were assessed to measure spillover effect in caregivers of patients with MS.

RESULTS

A strong correlation of health-utility scores between EQ-5D-3L and HUI-3 (r = 0.914, P < .01) was observed. The 95% limit of agreement (LoA) for CarerQol-7D and HUI-3 (-10.6 to 8.2) was narrower than the LoA for CarerQol-7D and EQ-5D-3L (-15.1 to 17.1). Both EQ-5D-3L and HUI-3 proved clinical validity for the QoL of caregivers. The CarerQoL-7D score was significantly lower in female (P < .001), single (P < .014), lower-educated (P < .001), parent's relatives (P < .001), and unemployed (P < .001) caregivers.

CONCLUSIONS

We found that both, EQ-5D-3L and HUI-3, were appropriate for measuring caregivers' QoL, although HUI-3 was a better choice because of its narrower LoA. Our findings suggest researchers should use HUI-3 to measure the quality-adjusted life-year of caregivers to aggregate with the QoL of patients in the denominator of an economic evaluation equation, such as the cost-effective ratio.

Modelling Spillover Effects on Informal Carers: The Carer QALY Trap

The provision of informal (unpaid) care can impose significant 'spillover effects' on carers, and accounting for these effects is consistent with the efficiency and equity objectives of health technology assessment (HTA). Inclusion of these effects in health economic models, particularly carer health-related quality of life (QOL), can have a substantial impact on net quality-adjusted life year (QALY) gains and the relative cost effectiveness of new technologies. Typically, consideration of spillover effects improves the value of a technology, but in some circumstances, consideration of spillover effects can lead to situations whereby life-extending treatments for patients may be considered cost ineffective due to their impact on carer QOL. In this piece we revisit the classic 'QALY trap' and introduce an analogous 'carer QALY trap' which may have practical implications for economic evaluations where the inclusion of carer QOL reduces incremental QALY gains. Such results may align with a strict QALY-maximisation rule, however we consider the extent to which this principle may be at odds with the preferences of carers themselves (and possibly society more broadly), potentially leading decision makers into the carer QALY trap as a result. We subsequently reflect on potential solutions, highlighting the important (albeit limited) role that deliberation has to play in HTA.

How well do the adult social care outcomes toolkit for carers, carer experience scale and care-related quality of life capture aspects of quality of life important to informal carers in Australia?

PURPOSE

Identify aspects of quality of life (QoL) important to Australian informal carers and explore how well the Adult Social Care Outcomes Toolkit for Carers, Care-related Quality of Life instrument and Carer Experience Scale capture these aspects in the Australian context.

METHODS

Online questionnaires were completed by Australian informal carers. Socio-demographics, open-ended questions: positive/negative aspects of caring and QoL aspects missing from the instruments, and ranking of the instrument domains was used to explore the content of the instruments. Instruments were scored using preference-weighted value sets (reported in another paper). Content analysis was used to analyse the open-ended responses. Chi-squared test looked at differences in domain importance. Descriptive analyses summarised all other information.

RESULTS

Eight themes were identified: Behaviour-mood of the care recipient, Caring responsibilities, Finances, Health, Own life, Perception of carers, Relationship with care recipient and Support. Many aspects of carer QoL mentioned as missing in the instruments appeared covered by the domains, of which all were reported as important. The highest ranked domain was relationship with the care recipient. The influence of the care recipient specific support, behaviour/mood and health on carer QoL appear absent in all instruments.

CONCLUSION

The content of the three instruments appears relevant in an Australian setting. The influence of care recipient's health and well-being on carer QoL should be considered, along with spillover effects. A content and/or face validity analysis is required to confirm differences in item interpretation in Australian informal carers.

The Feasibility and Validity of Preference-Based Quality of Life Measures With Informal Carers: A Think-Aloud Study

OBJECTIVES

A range of preference-based quality of life (QoL) measures have been proposed for use with informal carers. Qualitative evaluation of validity and feasibility of the measures is an important step in understanding whether measures will work as intended. At present, little is known about the performance of different types of preference-based QoL measures with informal carers. The objective of this study was to qualitatively assess the feasibility, content validity (including face validity), and acceptability of 5 QoL measures (the Carer Experience Scale, CarerQoL-7D, ASCOT-C, ICECAP-A, and EQ-5D-5L) with informal carers.

METHODS

A total of 24 "think-aloud" interviews were conducted with a cross-section of carers of adults in the United Kingdom. This think-aloud process was followed by semistructured discussion to probe issues of validity and feasibility in more detail. The interview data were transcribed, coded to identify the frequency of errors in completing the QoL measures and thematically analyzed to study the validity, feasibility, and acceptability of the measures.

RESULTS

Few errors (3%-7% per item) were identified in completing each of the measures with little distinct pattern. Most participants found the measures to be concise, clear, and relevant. Challenges included relevance, context, time period, missing items, multiple questions, and response options. Informal carers generally expressed a preference for using a care-related QoL measure.

CONCLUSIONS

Existing preference-based QoL measures have encouraging validity and feasibility within a mixed sample of informal carers, with minor challenges raised. These challenges ought to be considered, alongside the decision context, when administering QoL measures in this context.

Production Losses due to Absenteeism and Presenteeism: The Influence of Compensation Mechanisms and Multiplier Effects

BACKGROUND

Productivity costs can form a large and influential component of total costs in an economic evaluation taking a societal perspective. In calculating productivity costs, estimating productivity losses is a central element. Compensation mechanisms and multiplier effects may influence these losses but remain understudied. Compensation mechanisms could reduce productivity losses while multiplier effects may increase them.

METHODS

Data on productivity losses were collected in 2015 using an online survey among a sample of persons aged 15-65 years in The Netherlands who worked at least 12 h per week and reported to have experienced absenteeism and/or presenteeism during the past 4 weeks. A total of 877 respondents completed the survey that contained questions on productivity losses, compensation mechanisms, and multiplier effects.

RESULTS

We found that 45.5% of the respondents reported absenteeism (average 6.5 days) during the past 4 weeks, losing on average 48.7 working hours, while presenteeism was experienced by 75.9% of respondents, with an average loss of 10.7 working hours. Compensation mechanisms were reported by 76.9% of respondents, compensating almost 80% of their lost production, while multiplier effects were reported by 23.6% of respondents, reducing the productivity of 4.2 colleagues by 27.8% on average, implying a multiplier of 2.1 in that subgroup.

CONCLUSIONS

This study highlights that compensation mechanisms and multiplier effects are common and may substantially affect production losses. Investigating these mechanisms and effects further, as well as their interactions, remains important. Translating these findings into productivity cost calculations in economic evaluations is not straightforward and requires attention, especially since compensation mechanisms may not be costless and, for multiplier effects, the value of hours of colleagues may not be similar to that of the person experiencing health problems.

Does the inclusion of societal costs change the economic evaluations recommendations? A systematic review for multiple sclerosis disease

BACKGROUND

Multiple sclerosis imposes a heavy burden on the person who suffers from it and on the relatives, due to the caregiving load involved. The objective was to analyse whether the inclusion of social costs in economic evaluations of multiple sclerosis-related interventions changed results and/or conclusions.

METHODS

A systematic review was launched using Medline and the Cost-Effectiveness Analysis Registry of Tufts University (2000-2019). Included studies should: (1) be an original study published in a scientific journal, (2) be an economic evaluation of any multiple sclerosis-related intervention, (3) include productivity losses and/or informal care costs (social costs), (4) be written in English, (5) use quality-adjusted life years as outcome, and (6) separate the results according to the perspective applied.

RESULTS

Twenty-nine articles were selected, resulting in 67 economic evaluation estimations. Social costs were included in 47% of the studies. Productivity losses were assessed in 90% of the estimations (the human capital approach was the most frequently used method), whereas informal care costs were included in nearly two-thirds of the estimations (applying the opportunity and the replacement-cost methods equally). The inclusion of social costs modified the figures for incremental costs in 15 estimations, leading to a change in the conclusions in 10 estimations, 6 of them changing from not recommended from the healthcare perspective to implemented from the societal perspective. The inclusion of social costs also altered the results from cost-effective to dominant in five additional estimations.

CONCLUSIONS

The inclusion of social costs affected the results/conclusions in multiple sclerosis-related interventions, helping to identify the most appropriate interventions for reducing its economic burden from a broader perspective.

How is the Societal Perspective Defined in Health Technology Assessment? Guidelines from Around the Globe

Some researchers have argued that the aim of an economic evaluation should be to offer guidance on resource allocation based on public interest from a societal perspective. The application of a societal perspective in health technology assessment (HTA), while common in many published studies, is not mandated in most countries, and there is limited discussion on what the societal perspective should encompass. This study aimed to systematically compare and contrast the HTA guidelines in different countries. HTA methods guidelines were identified through international HTA networks, such as the Professional Society for Health Economics and Outcomes Research (ISPOR) and Guide to Economic Analysis Research (GEAR). The respective HTA agencies were grouped into two categories: well-established and newly developed, based on the establishment date. Data extracted from the guidelines summarised the methodological details in the reference cases, including specifics on the societal perspective. The database search yielded 46 guidelines, and 65% explicitly considered the societal perspective. The maturity of these agencies is reflected in their attitudes towards the societal perspective; the societal perspective is defined in 73% of the guidelines of well-established agencies and only 56% of those of newly developed agencies. The guidelines from multipayer healthcare systems are more likely to consider the societal perspective. Although most guidelines from the well-established agencies recommend the inclusion of a societal perspective, the types of costs and consequences that should be included and the recommended approaches to valuing them are variable. The direct costs to family and carers were included in 73% of the societal perspective definitions, while non-health outcomes were considered in only 40%. Most HTA guidelines lack clear guidance on what to include under specific perspectives. Considering the recent advancements in economic evaluation methods, it is timely to rethink the role of the societal perspective in HTA guidelines and adopt a more comprehensive perspective to include all costs and consequences of healthcare services.

Benefits and harms adopted by health economic assessments evaluating antenatal and newborn screening programmes in OECD countries: A systematic review of 336 articles and reports

BACKGROUND

Health economic assessments are used to determine whether the resources needed to generate net benefit from a screening programme, driven by multiple complex benefits and harms, are justifiable. We systematically identified the benefits and harms incorporated within economic assessments evaluating antenatal and newborn screening programmes.

METHODS

For this systematic review and thematic analysis, we searched the published and grey literature from January 2000 to January 2021. Studies that included an economic evaluation of an antenatal or newborn screening programme in an OECD country were eligible. We identified benefits and harms using an integrative descriptive analysis, and illustrated a thematic framework. (Systematic review registration PROSPERO, CRD42020165236).

FINDINGS

The searches identified 52,244 articles and reports and 336 (242 antenatal and 95 newborn) were included. Eighty-six subthemes grouped into seven themes were identified: 1) diagnosis of screened for condition, 2) life years and health status adjustments, 3) treatment, 4) long-term costs, 5) overdiagnosis, 6) pregnancy loss, and 7) spillover effects on family members. Diagnosis of screened for condition (115 studies, 47.5%), life-years and health status adjustments (90 studies, 37.2%) and treatment (88 studies, 36.4%) accounted for most of the benefits and harms evaluating antenatal screening. The same themes accounted for most of the benefits and harms included in studies assessing newborn screening. Overdiagnosis and spillover effects tended to be ignored.

INTERPRETATION

Our proposed framework can be used to guide the development of future health economic assessments evaluating antenatal and newborn screening programmes, to prevent exclusion of important potential benefits and harms.

The quality of life of older carers and the people they support: An international scoping review

Older carers, aged 65 or over, may find it difficult to balance caring while maintaining their own health and quality of life (QoL). For older carers, especially, established approaches to separately identifying, assessing and addressing carers' and care-recipients' needs, may not fully consider the interwoven nature of caregiving relationships and the ways in which community-based social care services may impact the QoL of both parties. The purpose of this scoping review is to identify and synthesise what is already known about the QoL of older carers and care-recipients, considered together, which we refer to as 'dyadic QoL'; both in general, and with regard to the impact of community-based social care. We searched 16 electronic databases and grey literature in October and November 2020. A total 822 items were identified and reviewed based on the inclusion criteria: focusing on older carers and care-recipients from a dyadic perspective and their QoL or well-being, published since 2000 and in English. Fourteen papers were thematically analysed, and the findings were presented under two themes. First, the value of applying an overarching conceptual framework of 'interdependence theory' in understanding dyadic QoL, including two broad approaches: dyadic data analysis and the dynamics of caring relationships. Second, a number of papers highlighted the role of support from family, friends and neighbours and community-based social care services in promoting QoL outcomes of caring dyads. This review emphasised that considering the QoL of carers and care-recipients, together, would potentially improve the understanding of care needs, provision of care services and QoL outcomes. However, there is limited and fragmentary evidence about dyadic QoL or the impact of social care services on dyadic QoL outcomes. Future work is required to explore and evaluate the use of a dyadic approach in social care practice and research.

Systematic Review of Cost-Utility Analyses That Have Included Carer and Family Member Health-Related Quality of Life

OBJECTIVES

Health interventions for patients can also affect the health of their informal carers and family members. These changes in carer or family member health could be reflected in cost-utility analyses (CUAs) through the inclusion of their quality-adjusted life-years (QALYs). We conducted a systematic review to identify and describe all CUAs that have included family member health-related QALYs.

METHODS

A total of 4 bibliographic databases were searched from inception to July 2021. A 2-stage sifting process for inclusion of studies was undertaken. We performed data extraction using a standardized data extraction form and performed a narrative synthesis of the evidence.

RESULTS

A total of 40 CUAs published between 1999 and 2021 were identified. CUAs were conducted in 15 different countries. CUAs examined 13 different conditions including 15 CUAs on vaccination, 5 on Alzheimer's disease, 2 on Parkinson's disease, 3 on dementia, and 2 on terminal illness. The EQ-5D was the most commonly used measure of family member health. Generally, including carer QALYs resulted in lower incremental cost-effectiveness ratios.

CONCLUSIONS

When considering the total number of economic evaluations published, few have included family member QALYs and the methods for doing so are often inconsistent and data sources often limited. Estimation of family member QALYs in patient CUAs was regularly uncertain and often substantial in magnitude. The findings highlight the variation among methods and call for greater consistency in methods for incorporating family member QALYs in patient CUAs.

Carers' Health-Related Quality of Life in Global Health Technology Assessment: Guidance, Case Studies and Recommendations

Including health outcomes for carers as well as patients in economic evaluations can change the results and conclusions of the analysis. Whilst in many disease areas there can be clear justification for including carers' health-related quality of life (HRQL) in health technology assessments (HTAs), we believe that, in general, the perspective of carers is under-represented in HTA. We were interested in the extent, and methods by which, HTA bodies include carers' HRQL in economic evaluation. We reviewed guidance from 13 HTA bodies across the world regarding carers' HRQL. We examined five interventions, as case studies, assessed by different HTA bodies, and extracted information on whether carers' HRQL was included by the manufacturers or assessors in their dossiers of evidence, the data and methods used, and the impact on the results. We developed recommendations to guide analysts on including carers' HRQL in economic evaluations. When reviewing the methods guides: two bodies recommend including carers' HRQL in the base case, two referred to outcomes for all individuals, two preferred to exclude carers, three said it depended on other conditions, and it was unclear for four. Across the five case studies: five source studies for carers' HRQL and two different modelling approaches were used. Including carers' HRQL increased incremental quality-adjusted life-years (QALYs) in 19/23 analyses (decreased it in two); there was substantial variation in the magnitude of change. We recommend: (1) the inclusion of carers is clearly justified, (2) the use of HRQL data from the population under comparison where possible, (3) the use of data from another disease area or country is clearly justified (and transferability/applicability issues are discussed), (4) the use of external data to derive comparisons for cross-sectional data is justified, (5) assumptions and implications of the modelling approach are explicit, and (6) disaggregated results for patients and carers are presented.

Assessing the impact of caregiving on informal caregivers of adults with a mental disorder in OECD countries: A systematic literature review of concepts and their respective questionnaires

We conducted a systematic literature review to identify and review the concepts and questionnaires used to assess the impact of caregiving on caregivers for adults with a mental disorder. With our study, we aimed to provide an overview and categorize the conceptualization and operationalization of the impact of caregiving, with special attention for the complexity and multi-conceptualization of concepts. Embase, Medline, PsycInfo, Web of Science Core Collection, Cochrane Central Register of Trials, Cinahl Plus, Econlit and Google Scholar were systematically searched for articles from 1 January 2004 to 31 December 2019. Eligible articles were peer-reviewed studies that assessed the impact of caregiving for informal caregivers of adults with a reported mental disorder by means of a questionnaire. The complete study protocol can be found on PROSPERO (CRD42020157300). A total of 144 questionnaires were identified that assessed the impact of caregiving. Based on similarities in meaning, concepts were classified into 15 concept clusters. The most frequently assessed concept clusters were mental health, caregiving burden, other caregiving consequences, family impact, and overall health-related outcomes. The use of concept clusters differed per diagnosis group, with diagnoses, such as schizophrenia, using a wide range of caregiving impact concepts and other diagnoses, such as personality disorders, only using a limited range of concepts. This is the first study that identified and reviewed the concepts and questionnaires that are used to assess the impact of caregiving. Caregiving is researched from a broad array of perspectives, with the identification of a variety of concepts and dimensions and use of non-specific questionnaires. Despite increasing interest in this field of research, a high degree of variability remains abundant with limited consensus. This can partially be accredited to differences in the naming of concepts. Ultimately, this review can serve as a reference to researchers who wish to assess the impact of caregiving and require further insight into concepts and their respective questionnaires.

Capturing what matters: updating NICE methods guidance on measuring and valuing health

In July 2019, the National Institute for Health and Care Excellence (NICE) initiated a major review of its health technology evaluation methods to update its methods guide. This update has recently concluded with the publication of its health technology evaluation manual in January 2022. This paper reports the methods and findings of the review in relation to the recommended approach to use for the measurement and valuation of health-related quality of life (HRQoL) in submissions to NICE. Issues related to (i) the methods to use when NICE’s preferred measure (EQ-5D) is not appropriate or not available; (ii) adjusting health state utility values over time to account for age; (iii) measuring and valuing HRQoL in children and young people; and (iv) including carers’ QoL in economic evaluations were included in this review. This commentary summarises the methods used to undertake the review, its findings, and the changes to NICE methods that were proposed based on these findings. It also outlines topics where further research is needed before definitive methods guidance can be issued. The broad proposals described here were subject to a public consultation in 2020 and a further consultation on the updated methods guidance was completed in October 2021 before the publication of the manual in January 2022.

Evaluation of the Cost-effectiveness of Drug Treatment for Alzheimer Disease in a Simulation Model That Includes Caregiver and Societal Factors

IMPORTANCE

The possibility of widespread use of a novel effective therapy for Alzheimer disease (AD) will present important clinical, policy, and financial challenges.

OBJECTIVE

To describe how including different patient, caregiver, and societal treatment-related factors affects estimates of the cost-effectiveness of a hypothetical disease-modifying AD treatment.

DESIGN, SETTING, AND PARTICIPANTS

In this economic evaluation, the Alzheimer Disease Archimedes Condition Event Simulator was used to simulate the prognosis of a hypothetical cohort of patients selected from the Alzheimer Disease Neuroimaging Initiative database who received the diagnosis of mild cognitive impairment (MCI). Scenario analyses that varied costs and quality of life inputs relevant to patients and caregivers were conducted. The analysis was designed and conducted from June 15, 2019, to September 30, 2020.

EXPOSURES

A hypothetical drug that would delay progression to dementia in individuals with MCI compared with usual care.

MAIN OUTCOMES AND MEASURES

Incremental cost-effectiveness ratio (ICER), measured by cost per quality-adjusted life-year (QALY) gained.

RESULTS

The model included a simulated cohort of patients who scored between 24 and 30 on the Mini-Mental State Examination and had a global Clinical Dementia Rating scale of 0.5, with a required memory box score of 0.5 or higher, at baseline. Using a health care sector perspective, which included only individual patient health care costs, the ICER for the hypothetical treatment was $192 000 per QALY gained. The result decreased to $183 000 per QALY gained in a traditional societal perspective analysis with the inclusion of patient non-health care costs. The inclusion of estimated caregiver health care costs produced almost no change in the ICER, but the inclusion of QALYs gained by caregivers led to a substantial reduction in the ICER for the hypothetical treatment, to $107 000 per QALY gained in the health sector perspective. In the societal perspective scenario, with the broadest inclusion of patient and caregiver factors, the ICER decreased to $74 000 per added QALY.

CONCLUSIONS AND RELEVANCE

The findings of this economic evaluation suggest that policy makers should be aware that efforts to estimate and include the effects of AD treatments outside those on patients themselves can affect the results of the cost-effectiveness analyses that often underpin assessments of the value of new treatments. Further research and debate on including these factors in assessments that will inform discussions on fair pricing for new treatments are needed.

Comprehensive support for families with parental cancer (Family-SCOUT), evaluation of a complex intervention: study protocol for a non-randomized controlled trial

Background

Families with minor children affected by parental cancer are at risk of considerable emotional and organizational stress that can severely burden all family members. So far, there has been a lack of comprehensive support services for affected families. The aim of this project is to implement and evaluate a complex psychosocial intervention for these families by providing advice, information, and care on an emotional, psycho-social, and communicative level during and after the cancer experience and across healthcare sectors.

Methods

Family-SCOUT is a project supported by the German Innovation Fund (https://innovationsfonds.g-ba.de/). The evaluation is based on a mixed-methods quasi-experimental design with the intervention and control groups. A standardized postal survey at three measurement points (T0: study enrollment; T1: 3 months of follow-up; T2: 9 months of follow-up), secondary data from the participating health insurance funds, and semi-structured qualitative interviews are used for summative and formative evaluation. The study aim is to include n=560 families. Data will be analyzed according to the intention-to-treat principle. The primary analysis is the comparison of the Hospital Anxiety and Depression Scale (HADS) response rates (minimal important difference (MID) ≥ 1.6 in at least one of the two parents) at T2 between the intervention and control group using Fisher’s exact test. The conduct of the study as well as the development and implementation of the intervention will be accompanied by comprehensive study monitoring following the principles of an effectiveness-implementation hybrid study.

Discussion

The results will allow to test the effectiveness and efficiency of the intervention for the target group. The first experience with the implementation of the intervention in model regions will be available. The evaluation results will serve as the basis to assess the need of including the intervention in the catalog of services of the statutory health insurance funds in Germany.

Trial registration

ClinicalTrials.gov, NCT04186923. Retrospectively registered on 4 December 2019.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-021-05577-y.

Mental health spillovers from serious family illness: Doubly robust estimation using EQ-5D-5L population normative data

People are interconnected and ill-health is rarely experienced in isolation. However, while there has been extensive research on health spillovers related to informal caregiving, there is comparatively little evidence on how ill-health may impact upon non-caregiving family members. This paper analyses EQ-5D-5L normative data from a nationally representative sample of adult residents of Ireland to estimate the independent relationship between serious family illness and five distinct dimensions of health. The empirical strategy combines inverse probability weighting and multivariate ordered probit regression in a doubly robust estimation. We find that experience of serious family illness is associated with large mental health decrements that are independent of caring responsibilities, while similar results are not evident for the four other health dimensions. Furthermore, stratified sub-sample analyses indicate considerable heterogeneity by sex and by income. In particular, we find evidence consistent with larger mental health spillovers for females than for males, as well as for low- and medium-income households relative to high-income households. The latter suggests that such spillovers may be substantially worse for those with fewer resources. Overall, the findings have a range of potential implications, including for the provision of mental health supports and services, for equity of health outcomes, as well as for health economic evaluation. For example, we calculate that our estimates of health spillovers are consistent with a 1.3% reduction in health utility for non-caregiving family members.

"It is not a scientific number it is just a feeling": Populating a multi-dimensional end-of-life decision framework using deliberative methods

The capability approach is potentially valuable for economic evaluation at the end of life because of its conceptualization of wellbeing as freedom and the potential for capturing outcomes for those at end of life and those close to persons at the end of life. For decision making, however, this information needs to be integrated into current evaluation paradigms. This research explored weights for an integrated economic evaluation framework using a deliberative approach. Twelve focus groups were held (38 members of the public, 29 "policy makers," seven hospice volunteers); budget pie tasks were completed to generate weights. Constant comparison was used to analyze qualitative data, exploring principles behind individuals' weightings. Average weights elicited from members of the general population and policy makers for the importance that should be given to close persons (vs. patients) were very similar, at around 30%. A "sliding scale" of weights between health gain and the capability for a good death resulted from the policy maker and volunteer groups, with increasing weight given to the capability for a good death as the trajectory got closer to death. These weights can be used in developing a more comprehensive framework for economic evaluation at end of life.

Modelling collective action to change social norms around domestic violence: social dilemmas and the role of altruism

Interventions promoting collective action have been used to prevent domestic violence in a range of settings, but their mechanisms of operation remain unclear. We formalise and combine feminist theoretical approaches to domestic violence into a game-theoretic model of women's collective action to change gendered social norms and outcomes. We show that social norms create a social dilemma in which it is individually rational for women to abstain from action to prevent domestic violence among neighbours, but all women suffer negative consequences if none take action. Promoting altruism among women can overcome the social dilemma. Discouraging women from tolerating domestic violence, imposing additional external punishment on men for perpetrating violence, or lowering costs to women of taking action against violence may not work or even backfire. We invite researchers on community mobilisation to use our framework to frame their understandings of collective action to prevent domestic violence.

Validation of the Hungarian version of the CarerQol instrument in informal caregivers: results from a cross-sectional survey among the general population in Hungary

Purpose

The CarerQol instrument has been designed and validated as an instrument able to measure both the positive and the negative impacts of caregiving on the quality of life of informal caregivers (CarerQol-7D), as well as their general happiness (CarerQol-VAS). The aim of this study was to assess the construct validity of the CarerQol in the Hungarian context.

Methods

The CarerQol was translated into Hungarian. Subsequently, in a cross-sectional online survey, representative for the general Hungarian population (N = 1000), informal caregivers were identified (N = 149, female 51.2%, mean age 53.2). Clinical, convergent and discriminant validity of the CarerQol were evaluated in relation to the caregivers’ and care recipients’ EQ-5D-5L health status, and caregiving situation characteristics.

Results

Average CarerQol-7D and CarerQol-VAS scores were 76.0 (SD 16.2) and 6.8 (SD 2.3), respectively. CarerQol-7D and CarerQol-VAS scores were significantly correlated with caregiving time (r = − 0.257; − 0.212), caregivers’ EQ-5D-5L scores (r = 0.453; 0.326) and the CarerQol-7D also with care recipients’ EQ-5D-5L scores (r = 0.247). CarerQol-7D scores differed significantly with relevant caregiving characteristics (e.g. nature and severity of care recipients’ health status, sharing household) and both the CarerQol-7D and CarerQol-VAS with the overall care experience.

Conclusion

Our findings confirmed the validity of the Hungarian language version of the CarerQol and support the cross-cultural validity of the instrument. CarerQol-7D scores performed better in distinguishing caregiving situation characteristics than the general happiness measure CarerQol-VAS. Care recipients’ health status was only weakly associated with informal caregivers’ care-related quality of life and happiness. Caregivers’ own health and caregiving circumstances were more strongly associated with these scores.

Electronic supplementary material

The online version of this article (10.1007/s11136-020-02662-8) contains supplementary material, which is available to authorized users.

Inclusion of Carer Health-Related Quality of Life in National Institute for Health and Care Excellence Appraisals

OBJECTIVES

Health interventions for patients can have effects on their carers too. For consistency, decision makers may wish to specify whether carer outcomes should be included. One example is the National Institute for Health and Care Excellence (NICE), whose reference case specifies that economic evaluations should include direct health effects for patients and carers where relevant. We aimed to review the methods used in including carer health-related quality of life (HRQL) in NICE appraisals.

METHODS

We reviewed all published technology appraisals (TAs) and highly specialized technologies (HSTs) to identify those that included carer HRQL and discussed the methods and data sources.

RESULTS

Twelve of 414 TAs (3%) and 4 of 8 HSTs (50%) included carer HRQL in cost-utility analyses. Eight were for multiple sclerosis, the remainder were each in a unique disease area. Twelve of the 16 appraisals modeled carer HRQL as a function of the patient's health state, 3 modeled carer HRQL as a function of the patient's treatment, and 1 included family quality-adjusted life year (QALY) loss. They used 5 source studies: 2 compared carer EQ-5D scores with controls, 2 measured carer utility only (1 health utilities index and 1 EQ-5D), and 1 estimated family QALY loss from a child's death. Two used disutility estimates not from the literature. Including carer HRQL increased the incremental QALYs and decreased incremental cost-effectiveness ratios in all cases.

CONCLUSIONS

The inclusion of carer HRQL in NICE appraisals is relatively uncommon and has been limited by data availability.

Perspective and Costing in Cost-Effectiveness Analysis, 1974-2018

OBJECTIVE

Our objective was to examine perspective and costing approaches used in cost-effectiveness analyses (CEAs) and the distribution of reported incremental cost-effectiveness ratios (ICERs).

METHODS

We analyzed the Tufts Medical Center's CEA and Global Health CEA registries, containing 6907 cost-per-quality-adjusted-life-year (QALY) and 698 cost-per-disability-adjusted-life-year (DALY) studies published through 2018. We examined how often published CEAs included non-health consequences and their impact on ICERs. We also reviewed 45 country-specific guidelines to examine recommended analytic perspectives.

RESULTS

Study authors often mis-specified or did not clearly state the perspective used. After re-classification by registry reviewers, a healthcare sector or payer perspective was most prevalent (74%). CEAs rarely included unrelated medical costs and impacts on non-healthcare sectors. The most common non-health consequence included was productivity loss in the cost-per-QALY studies (12%) and patient transportation in the cost-per-DALY studies (21%). Of 19,946 cost-per-QALY ratios, the median ICER was $US26,000/QALY (interquartile range [IQR] 2900-110,000), and 18% were cost saving and QALY increasing. Of 5572 cost-per-DALY ratios, the median ICER was $US430/DALY (IQR 67-3400), and 8% were cost saving and DALY averting. Based on 16 cost-per-QALY studies (2017-2018) reporting 68 ICERs from both the healthcare sector and societal perspectives, the median ICER from a societal perspective ($US22,710/QALY [IQR 11,991-49,603]) was more favorable than from a healthcare sector perspective ($US30,402/QALY [IQR 10,486-77,179]). Most governmental guidelines (67%) recommended either a healthcare sector or a payer perspective.

CONCLUSION

Researchers should justify and be transparent about their choice of perspective and costing approaches. The use of the impact inventory and reporting of disaggregate outcomes can reduce inconsistencies and confusion.

Considering the societal perspective in economic evaluations: a systematic review in the case of depression

BACKGROUND

Depressive disorders are associated with a high burden of disease. However, due to the burden posed by the disease on not only the sufferers, but also on their relatives, there is an ongoing debate about which costs to include and, hence, which perspective should be applied. Therefore, the aim of this paper was to examine whether the change between healthcare payer and societal perspective leads to different conclusions of cost-utility analyses in the case of depression.

METHODS

A systematic literature search was conducted to identify economic evaluations of interventions in depression, launched on Medline and the Cost-Effectiveness Registry of the Tufts University using a ten-year time horizon (2008-2018). In a two-stepped screening process, cost-utility studies were selected by means of specified inclusion and exclusion criteria. Subsequently, relevant findings was extracted and, if not fully stated, calculated by the authors of this work.

RESULTS

Overall, 53 articles with 92 complete economic evaluations, reporting costs from healthcare payer/provider and societal perspective, were identified. More precisely, 22 estimations (24%) changed their results regarding the cost-effectiveness quadrant when the societal perspective was included. Furthermore, 5% of the ICURs resulted in cost-effectiveness regarding the chosen threshold (2% of them became dominant) when societal costs were included. However, another four estimations (4%) showed the opposite result: these interventions were no longer cost-effective after the inclusion of societal costs.

CONCLUSIONS

Summarising the disparities in results and applied methods, the results show that societal costs might alter the conclusions in cost-utility analyses. Hence, the relevance of the perspectives chosen should be taken into account when carrying out an economic evaluation. This systematic review demonstrates that the results of economic evaluations can be affected by different methods available for estimating non-healthcare costs.

Clinical and economic outcomes evaluated in Lyme disease: a systematic review

BACKGROUND

The financial implications of Lyme disease (LD) can vary widely for both the health system and the individual patients experiencing the disease. The aim of this review was to summarize published data on clinical and economic outcomes associated with LD.

METHODS

A literature review was conducted to identify all studies of LD that incorporate both clinical outcomes and costs. Included studies were described and categorized based on costs consistent with best practices used in economic evaluation.

RESULTS

The most frequent costs identified focused on formal health costs and productivity losses were the most common costs identified outside of the health system. Travel and informal care costs were less frequently reported. Clinical and economic outcomes of LD are primarily studied through economic models or observational analyses and focus on formal health care.

CONCLUSIONS

This review provides and overview of existing evidence and recommendations for future economic analyses in LD.

Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale

BACKGROUND

Discrete choice experiments (DCEs) are widely used to elicit health state preferences. However, additional information is required to transform values to a scale with dead valued at 0 and full health valued at 1. This paper presents DCE-VAS, an understandable and easy anchoring method with low participant burden based on the visual analogue scale (VAS).

METHODS

Responses from 1450 members of the UK general public to a discrete choice experiment (DCE) were analysed using mixed logit models. Latent scale valuations were anchored to a full health = 1, dead = 0 scale using participants' VAS ratings of three states including the dead. The robustness of results was examined. This included a filtering procedure with the influence each individual respondent had on valuation being calculated, and those whose influence was more than two standard deviations away from the mean excluded.

RESULTS

Coefficients in all models were in the expected direction and statistically significant. Excluding respondents who self-reported not understanding the VAS task did not significantly influence valuation, but excluding a small number who valued 33333 extremely low did. However, after eight respondents were removed via the filtering procedure, valuations were robust to removing other participants.

CONCLUSION

DCE-VAS is a feasible way of anchoring DCE results to a 0-1 anchored scale with low additional respondent burden.

Development of Population Tariffs for the CarerQol Instrument for Hungary, Poland and Slovenia: A Discrete Choice Experiment Study to Measure the Burden of Informal Caregiving

BACKGROUND

The CarerQol instrument can be used in economic evaluations to measure the care-related quality of life of informal caregivers. Tariff sets are available for Australia, Germany, Sweden, the Netherlands, the UK, and the USA.

OBJECTIVE

Our objective was to develop tariff sets for the CarerQol instrument for Hungary, Poland and Slovenia and to compare these with the existing value sets.

METHODS

Discrete-choice experiments were carried out in Hungary, Poland and Slovenia. Data were collected through an online survey between November 2018 and January 2019, using representative samples of 1000 respondents per country. Tariffs were calculated from coefficient estimates from panel mixed multinomial logit models with random parameters.

RESULTS

All seven CarerQol domains contributed significantly to the utility associated with different caregiving situations. Attributes valued highest were 'physical health' (tariffs for no problems were 15.6-21.8), 'mental health' (18.1-18.9) and 'fulfilment' (16.3-22.9). Value sets were comparable across the countries, although in Poland 'a lot of fulfilment' was valued higher (22.9) than in Hungary (16.3) and Slovenia (17.1). Compared with existing value sets, in the three Central European countries, 'fulfilment' was more important, whereas 'financial problems' were less important.

CONCLUSION

For the first time in the Central and Eastern European region, country-specific tariffs are now available for the Hungarian, Polish and Slovenian versions of the CarerQol instrument. This facilitates inclusion of the impact of informal care in economic evaluations. Our results can be used to develop and evaluate country-specific health policy strategies to support informal caregivers. The differences found in informal care preferences highlight the limited transferability of CarerQol tariffs across European regions.

Parental health spillover effects of paediatric rare genetic conditions

PURPOSE

The complexity and severity of rare genetic conditions pose substantial burden to families. While the importance of spillovers on carers' health in resource allocation decisions is increasingly recognised, there is significant lack of empirical evidence in the context of rare diseases. The objective of this study was to estimate the health spillovers of paediatric rare genetic conditions on parents.

METHODS

Health-related quality-of-life (HRQoL) data from children with rare genetic conditions (genetic kidney diseases, mitochondrial diseases, epileptic encephalopathies, brain malformations) and their parents were collected using the CHU9D and SF-12 measures, respectively. We used two approaches to estimate parental health spillovers. To quantify the 'absolute health spillover', we matched our parent cohort to the Australian general population. To quantify the 'relative health spillover', regression models were applied using the cohort data.

RESULTS

Parents of affected children had significantly lower HRQoL compared to matched parents in the general public (- 0.06; 95% CIs - 0.08, - 0.04). Multivariable regression demonstrated a positive association between parental and child health. The mean magnitude of HRQoL loss in parents was estimated to be 33% of the HRQoL loss observed in children (95% CIs 21%, 46%).

CONCLUSION

Paediatric rare genetic conditions appear to be associated with substantial parental health spillovers. This highlights the importance of including health effects on family members and caregivers into economic evaluation of genomic technologies and personalised medicine. Overlooking spillover effects may undervalue the benefits of diagnosis and management in this context. This study also expands the knowledge of family spillover to the rare disease spectrum.

Review of Valuation Methods of Preference-Based Measures of Health for Economic Evaluation in Child and Adolescent Populations: Where are We Now and Where are We Going?

Methods for measuring and valuing health benefits for economic evaluation and health technology assessment in adult populations are well developed. In contrast, methods for assessing interventions for child and adolescent populations lack detailed guidelines, particularly regarding the valuation of health and quality of life in these age groups. This paper critically examines the methodological considerations involved in the valuation of child- and adolescent-specific health-related quality of life by existing preference-based measures. It also describes the methodological choices made in the valuation of existing generic preference-based measures developed with and/or applied in child and adolescent populations: AHUM, AQoL-6D, CHU9D, EQ-5D-Y, HUI2, HUI3, QWB, 16D and 17D. The approaches used to value existing child- and adolescent-specific generic preference-based measures vary considerably. While the choice of whose preferences and which perspective to use is a matter of normative debate and ultimately for decision by reimbursement agencies and policy makers, greater research around these issues would be informative and would enrich these discussions. Research can also inform the other methodological choices required in the valuation of child and adolescent health states. Gaps in research evidence are identified around the impact of the child described in health state valuation exercises undertaken by adults, including the possibility of informed preferences; the appropriateness and acceptability of valuation tasks for adolescents, in particular tasks involving the state 'dead'; anchoring of adolescent preferences; and the generation and use of combined adult and adolescent preferences.

Provider and household costs of Plasmodium vivax malaria episodes: a multicountry comparative analysis of primary trial data

OBJECTIVE

To determine household and health-care provider costs associated with Plasmodium vivax infection across a range of endemic settings.

METHODS

We collected cost data alongside three multicentre clinical trials of P. vivax treatment in Afghanistan, Brazil, Colombia, Ethiopia, Indonesia, Philippines, Peru, Thailand and Viet Nam conducted between April 2014 to December 2017. We derived household costs from trial participant surveys administered at enrolment and again 2 weeks later to determine the costs of treatment and transportation, and the number of days that patients and their household caregivers were unable to undertake their usual activities. We determined costs of routine care by health-care providers by micro-costing the resources used to diagnose and treat P. vivax at the study sites.

FINDINGS

The mean total household costs ranged from 8.7 United States dollars (US$; standard deviation, SD: 4.3) in Afghanistan to US$ 254.7 (SD: 148.4) in Colombia. Across all countries, productivity losses were the largest household cost component, resulting in mean indirect costs ranging from US$ 5.3 (SD: 3.0) to US$ 220.8 (SD: 158.40). The range of health-care provider costs for routine care was US$ 3.6-6.6. The cost of administering a glucose-6-phosphate-dehydrogenase rapid diagnostic test, ranged from US$ 0.9 to 13.5, consistently lower than the costs of the widely-used fluorescent spot test (US$ 6.3 to 17.4).

CONCLUSION

An episode of P. vivax malaria results in high costs to households. The costs of diagnosing and treating P. vivax are important inputs for future cost-effectiveness analyses to ensure optimal allocation of resources for malaria elimination.

Hard choices: Reflections from the tomb of the unknown patient

Health Technology Assessment (HTA) has always sought to incorporate the evidence of all patients affected in the decision-making process. While health system budgets could increase to cover costs of new technologies, the relevant patients are those benefitting from access to the technology being appraised. More recently, with health system budgets effectively fixed, costs of new technologies are covered by displacing other, currently funded care. This reallocation means the patients affected by the decision include those whose healthcare is displaced. These patients are typically unidentified, however, and so HTA in this instance involves choosing between identified and unidentified patients. We argue that HTA should take account of identifiability bias in this decision-making, to avoid promoting inequitable and inefficient access to healthcare.

Methods for public health economic evaluation: A Delphi survey of decision makers in English and Welsh local government

Standard reference case methods recommended for health technology appraisals do not translate well to a public health setting. This paper reports on a Delphi survey designed to elicit views of public health decision makers in England and Wales, about different methodological elements of economic evaluation. This is important as methods should align with the objective function of decision makers. The Delphi survey comprised two rounds, with round 1 allowing open-ended recommendations in addition to 5-point Likert scale responses. The final survey comprised 36 questions, and levels and strength of agreement were assessed using median values and mean absolute deviation of the median. The Delphi panel (n = 66) achieved high levels of agreement for costs, health, well-being, and productivity impact to be important elements within an economic evaluation. The panel agreed that evaluations should be relevant to the local context and include costs and consequences over a lifetime horizon. There was a call for the transparent reporting of costs and effects for different population subgroups, and for different sectors. Overall, the panel revealed a preference for a flexible approach, understanding that economic evidence fits within a dynamic process of decision making. These results provide empirical evidence to inform guidelines for public health economic evaluation.

Spillover Effects on Caregivers' and Family Members' Utility: A Systematic Review of the Literature

BACKGROUND

A growing body of research has identified health-related quality-of-life effects for caregivers and family members of ill patients (i.e. 'spillover effects'), yet these are rarely considered in cost-effectiveness analyses (CEAs).

OBJECTIVE

The objective of this study was to catalog spillover-related health utilities to facilitate their consideration in CEAs.

METHODS

We systematically reviewed the medical and economic literatures (MEDLINE, EMBASE, and EconLit, from inception through 3 April 2018) to identify articles that reported preference-based measures of spillover effects. We used keywords for utility measures combined with caregivers, family members, and burden.

RESULTS

Of 3695 articles identified, 80 remained after screening: 8 (10%) reported spillover utility per se, as utility or disutility (i.e. utility loss); 25 (30%) reported a comparison group, either population values (n = 9) or matched, non-caregiver/family member or unaffected individuals' utilities (n = 16; 3 reported both spillover and a comparison group); and 50 (63%) reported caregiver/family member utilities only. Alzheimer's disease/dementia was the most commonly studied disease/condition, and the EQ-5D was the most commonly used measurement instrument.

CONCLUSIONS

This comprehensive catalog of utilities showcases the spectrum of diseases and conditions for which caregiver and family members' spillover effects have been measured, and the variation in measurement methods used. In general, utilities indicated a loss in quality of life associated with being a caregiver or family member of an ill relative. Most studies reported caregiver/family member utility without any comparator, limiting the ability to infer spillover effects. Nevertheless, these values provide a starting point for considering spillover effects in the context of CEA, opening the door for more comprehensive analyses.