Evidence of spillover of illness among household members: EQ-5D scores from a US sample

Addressing the distributional consequences of spillovers in health economic evaluation: A prioritarian approach

Health spillovers arise when an individual's serious illness affects those close to them emotionally, psychologically, and/or physically. As a result, healthcare interventions that improve the lives of patients may also confer wider health benefits. However, contrary to widespread calls for health spillovers to be included in health economic evaluation, others have argued this could have adverse distributional consequences and equity implications. This paper presents a novel approach to spillover inclusion in health economic evaluation using a 'prioritarian transformation' of health gains that allows these equity concerns to be addressed. Affording greater weight to the incremental change in patient outcomes when incorporating carer/family health spillovers into resource allocation decisions, the method provides a feasible means of moderating the distributional impact of spillover inclusion. It also introduces a normative, theoretical perspective to a largely empirical extant literature and, as such, its axiomatic basis is examined. Finally, an illustrative example of the approach is presented to demonstrate its application.

Comparison of EQ Health and Well-Being Long and Short With Other Preference-Based Measures Among United States Informal Caregivers

OBJECTIVES

Several measures have been used or developed to capture the health and well-being of caregivers, including the EQ Health and Well-being (EQ-HWB) and its short form, EQ-HWB-S. This study aimed to evaluate the psychometric properties and construct validity of the EQ-HWB/EQ-HWB-S in a US caregiver population.

METHODS

A cross-sectional survey was conducted involving 504 caregivers. Eligible participants were 18+ years old, provided unpaid care to a relative/friend aged 18+ in the past 6 months, and spent on average of at least 1 hour per week caregiving. Survey included the following measures: EQ-HWB, Adult Social Care Outcomes Toolkit for Carers-Carer, CarerQol, and EQ-5D-5L. Psychometric properties were assessed using response distributions, floor/ceiling effects, Spearman's correlation for convergent validity, and effect sizes (ES) for known-group validity based on caregiving situations and intensity.

RESULTS

The average age of caregivers was 49.2 (SD = 15.4), with 57.5% being female. More than half (54.4%) reported high caregiving intensity, and 68.3% lived with the care recipient. The EQ-HWB-S index showed a strong positive correlation with the EQ-5D-5L (rs = 0.72), Adult Social Care Outcomes Toolkit for Carers (rs = 0.54), and CarerQol (rs = 0.54) indices. Notably, the EQ-HWB-S index showed the largest ES among measures in differentiating caregiving scenarios with a large ES for caregiver's general health (d = 1.00) and small ES for caregiving intensity (d = 0.39).

CONCLUSIONS

Results support construct validity of EQ-HWB and EQ-HWB-S as measures for assessing health and well-being of adult informal caregivers in comparison with other validated instruments. Differing levels of known-group validity across anchors emphasize the importance of selecting appropriate measures for caregivers, depending on research question and/or intervention aims.

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.

Fighting to Breathe and Fighting for Health-Related Quality of Life: Measuring the Impact of Being Dependent on Technology for Breathing on the Child and Their Caregiver

BACKGROUND AND OBJECTIVE

Medical advancement has enabled children to survive congenital airway anomalies, rare diseases and critical illnesses with medical technology including tracheostomies and long-term ventilation to support breathing. This study aimed to assess (1) the validity of the EQ-TIPS and EQ-5D-Y-3L in children dependent on technology and (2) the impact of caring for these children on the EQ-5D-5L and CarerQoL.

METHODS

Caregivers of children aged 1 month to 18 years completed the EQ-TIPS or EQ-5D-Y-3L, Pediatric Quality of Life Inventory (PedsQL) and Paediatric Tracheostomy Health Status Instrument (PTHSI) to reflect the child's health. In addition, caregivers self-completed the EQ-5D-5L and CarerQoL. Reports of problems on EQ dimensions were compared across age groups with the Fisher's exact test. Spearman and Pearson's correlation coefficients and Kruskal-Wallis H-test were used to explore the association between caregiver and child scores, concurrent validity, and known-group validity of the EQ-TIPS and EQ-5D-Y-3L.

RESULTS

Responses from 144 caregivers were collected, 66 for children aged 1 month to 4 years completing EQ-TIPS and 78 for children aged 5-18 years completing EQ-5D-Y-3L. The EQ-TIPS showed a higher report of no problems for social interaction for children aged 1-12 months (p = 0.040) than the older age groups, there were however no differences in the level sum score (LSS) or EQ Visual Analogue Scale scores between the age groups. The EQ-5D-Y-3L showed a significantly less report of problems for mobility (p = 0.013) and usual activities (p = 0.006) for children aged 5-7 years compared with children aged 8-12 and children aged 13-18 years. Similarly, the 5-7 years of age group had a significantly lower EQ-5D-Y-3L LSS compared with the older groups (H = 12.08, p = 0.002). The EQ-TIPS and EQ-5D-Y-3L showed moderate-to-strong associations with the PedsQL. EQ-TIPS median LSS was able to differentiate between groups on the clinical prognosis with a better health-related quality of life (HRQoL) in those where weaning from technology is possible compared with those where weaning is not possible (H = 18.98, p = 0.011). The EQ-5D-Y-3L can discriminate between breathing technology, where those with only a tracheostomy reported better HRQoL (H = 8.92, p = 0.012), and between mild and moderate clinical severity (H = 19.42, p < 0.001). Neither the PedsQL nor the PTHSI was able to discriminate between these groups across the age range. Caregiver and child HRQoL scores showed moderate-to-strong associations.

CONCLUSIONS

The EQ-TIPS and EQ-5D-Y-3L showed good validity in children dependent on the technology for breathing. The EQ-TIPS and EQ-5D-Y-3L LSS were all able to differentiate between children with known clinical variables and outperformed both the PedsQL and PTHSI, making them preferable for intervention research. The caregiver scores are associated with the child HRQoL scores and thus a spill-over should be accounted for in any interventions targeting this cohort. It is recommended that future studies investigate the reliability and responsiveness of these measures in children dependent on technology for breathing.

Cost-Effectiveness of Blinatumomab in Pediatric Patients with High-Risk First-Relapse B-Cell Precursor Acute Lymphoblastic Leukemia in France

BACKGROUND

Based on the results of the phase III randomized 20120215 trial, the European Medicines Agency granted the approval of blinatumomab for the treatment of pediatric patients with high-risk first-relapsed Philadelphia chromosome-negative B-cell precursor acute lymphoblastic leukemia (ALL). In France, blinatumomab received reimbursement for this indication in May 2022. This analysis assessed the cost effectiveness of blinatumomab compared with high-risk consolidation chemotherapy (HC3) in this indication from a French healthcare and societal perspective.

METHODS

A partitioned survival model with three health states (event-free, post-event and death) was developed to estimate life-years (LYs), quality-adjusted life-years (QALYs) and costs over a lifetime horizon. Patients who were alive after 5 years were considered to be cured. An excess mortality rate was applied to capture the late effects of cancer therapy. Utility values were based on the TOWER trial using French tariffs, and cost input data were identified from French national public health sources. The model was validated by clinical experts.

RESULTS

Treatment with blinatumomab over HC3 was estimated to provide gains of 8.39 LYs and 7.16 QALYs. Total healthcare costs for blinatumomab and HC3 were estimated to be €154,326 and €102,028, respectively, resulting in an increment of €52,298. The incremental cost-effectiveness ratio was estimated to be €7308 per QALY gained from a healthcare perspective. Results were robust to sensitivity analyses, including analysis from the societal perspective.

CONCLUSIONS

Blinatumomab administered as part of consolidation therapy in pediatric patients with high-risk first-relapsed ALL is cost effective compared with HC3 from the French healthcare and societal perspective.

Quality of Life, Physical and Mental Health, and Economic Evaluation of Family Caregivers of Chronic Dependent Children: INFAPRINT Cohort Study Protocol

BACKGROUND

Caregivers for children with complex chronic illnesses may experience emotional and physical strain, especially as concerns attention overload and the perceptions of their own psychosocial situation. These concerns, together with the additional financial cost and the socioeconomic inequalities that arise from caregiving responsibilities, create major challenges to the health status of this population group.

METHODS

A prospective analytical longitudinal study will be conducted, based on an exposed cohort of adult caregivers (parents or guardians) for children with complex chronic processes, to evaluate the impact of caregiving responsibilities on the health status of this population group.

CONCLUSIONS AND IMPLICATIONS

The practical implications of this study are of great significance for clinical practice. The results of this study have the potential to inform the decision-making process in the healthcare sector and guide future research initiatives. The findings of this study will provide crucial insights into the health-related quality of life of caregivers of children with complex chronic illnesses, which will be valuable in addressing the challenges faced by this population group. This information can be used to improve the availability and accessibility of appropriate health services and to facilitate the development of more equitable health outcomes for caregivers of children with complex chronic illnesses. By highlighting the extent to which this population is affected both physically and mentally, the study can contribute to the development of clinical practices that prioritize the health and well-being of caregivers in the care of children with complex chronic illnesses.

Health Utility of Drinkers' Family Members: A Secondary Analysis of a US Population Data Set

Background. Problematic alcohol use is known to harm individuals surrounding the drinker. This study described the health utility of people who reported having a family member(s) whom they perceived as a "problem drinker."Methods. We conducted a secondary analysis of the US National Epidemiologic Survey of Alcohol and Related Conditions Wave 3 (NESARC-III, 2012-13) data to estimate the independent associations of a family member's problem drinking on the respondent's health utility, also known as health-related quality of life, assessed via the SF-6D. Participants included 29,159 noninstitutionalized adults, of whom 21,808 reported perceiving a family member or members as having a drinking problem at any point in that person's life. Respondent drinking was assessed via self-report and diagnostic interview. We used population-weighted multivariate regression to estimate disutility. Results. After adjusting for the respondent's own alcohol consumption, alcohol use disorder (AUD), family structure, and sociodemographic characteristics, the mean decrement in SF-6D score associated with perceiving a family member as a problem drinker ranged from 0.033 (P < 0.001) for a spouse/partner to 0.023 (P < 0.001) for a grandparent, sibling, aunt, or uncle. The mean decrement in SF-6D score from having AUD oneself was 0.039 (P < 0.001). Conclusions. Perceived problem drinking within one's family is associated with statistically significant losses in health utility, the magnitude of which is dependent on relationship type. The adverse consequences associated with problem drinking in the family may rival having AUD oneself. Implications. Family-oriented approaches to AUD interventions may confer outsize benefits, especially if focused on the spouse or partner. Economic evaluation of alcohol misuse could be made more accurate through the inclusion of family spillover effects.

Highlights

Spillover effects from problem drinking in the family vary by relationship type.One's perception of their spouse or child as having a drinking problem is associated with a utility decrement of equal magnitude to having alcohol use disorder oneself.Medical decision makers should consider the outsize effects of family spillovers in treatment decisions in the context of alcohol consumption, particularly among spouses and children of problem drinkers.Economic evaluation should consider how to incorporate family spillover effects from problem drinking in alcohol-related models.

Using the EQ-5D to measure caregiver health-related quality of life in rare pediatric disease: a study in aromatic L-amino acid decarboxylase deficiency

Aims: To evaluate how well the EQ-5D-5L, a generic preference-based measure of health-related quality of life, captures caregiver burden in a rare pediatric neurotransmitter disease. Materials & methods: Caregivers (n = 14) of individuals with aromatic L-amino acid decarboxylase (AADC) deficiency completed qualitative interviews on their experience as a caregiver, the EQ-5D-5L and a background questionnaire. Qualitative and quantitative data were compared to determine whether there was concordance or discordance in the findings. Results: No caregivers reported problems with mobility and self-care in either the qualitative interviews or on the EQ-5D-5L, and there was general concordance for pain/discomfort and anxiety/depression. However, discordance was found for usual activities, with 79% reporting no problems with this dimension on the EQ-5D-5L, compared with 100% describing substantial limitations during the interviews. Conclusion: The EQ-5D-5L may not be appropriate to evaluate caregiver burden in AADC deficiency, where caregivers' perceptions of “usual activities” differ substantially from the general population.

Exploring the relationship between functional limitations of the older adults and the health-related quality of life of their spouse in Shaanxi Province, China

BACKGROUND

With trends towards longer life expectancy, lifetime with disability has also been prolonged. It is increasingly recognized that not only the person with disability but also those around them are affected. The relationship between functional limitation (FL) of the older adults and health-related quality of life (HRQoL) of their spouse is of interest. So too is the determination of the factors aside from FL that influence HRQoL.

METHODS

The sample was derived from the 2013 National Health Service Survey conducted in Shaanxi Province in China. Married couples aged ≥ 60 years were selected (n = 3463). The European quality of life five dimensions (EQ-5D) and visual analogue scale were used to measure HRQoL.

RESULTS

Both wife and husband reported lower HRQoL if either the male or female partner had some or serious FLs (P < 0.001). Other factors associated with lower HRQoL of the spouse included age, lower educational level, presence of chronic disease, and lower household economic status. Family size was associated with wife's HRQoL only when the male had no FL and lived with another 1-2 persons, or when the male had some FLs and lived in a larger family (n ≥ 5). Residential status did not relate to the HRQoL of spouses regardless of FL status.

CONCLUSIONS

Older adults in Shaanxi province who have partners with FLs tend to report poorer EQ-5D, suggesting that couples amongst whom one has FL may be particularly vulnerable to lower HRQoL.

Spillover Effects of Mental Health Disorders on Family Members' Health-Related Quality of Life: Evidence from a US Sample

OBJECTIVES

This study aims to characterize the spillover effects of selected mental health disorders (episodic mood disorder (EMD), anxiety, substance use disorder (SUD), schizophrenia, attention-deficit/hyperactivity disorder (ADHD), and dementia) on family members' health-related quality of life and to compare the magnitude of spillover effects across these types.

METHODS

Using the 2000-2015 Medical Expenditure Panel Survey, households having individuals with mental health disorders were identified. The SF-12 and EQ-5D surveys were used to acquire utility and health status scores for household members. The outcomes in households including an individual with a mental health disorder were compared to those of the control group (absence of individuals with mental health disorders in the household). We also compared a total of 15 pairs of diseases based on the SF-6D scores. A beta generalized estimating equation model was employed.

RESULTS

Average scores of utility and health status among individuals living with a member with a mental health disorder in the household were statistically lower than those of the control group and; for the SF-6D, met the minimally important difference for SUD, schizophrenia, and dementia. Differences in the SF-6D scores were statistically significant for 5 pairs of the mental health disorders: EMD-anxiety, EMD-ADHD, dementia-anxiety, dementia-ADHD, and schizophrenia-ADHD.

CONCLUSIONS

This study provides evidence of family spillover effects in mental illness using both utility and health status measures from a US representative sample. Integrating this evidence into clinical and policy decision making as well as economic evaluations would allow for a more comprehensive valuation of the societal benefits of mental and behavioral health interventions.

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.

The cost-effectiveness of a culturally tailored parenting program: estimating the value of multiple outcomes

Background

Parenting programs can be economically attractive interventions for improving the mental health of both parents and their children. Few attempts have been made to analyse the value of children’s and parent’s outcomes simultaneously, to provide a qualified support for decision making.

Methods

A within trial cost-effectiveness evaluation was conducted, comparing Ladnaan, a culturally tailored parenting program for Somali-born parents, with a waitlist control. Quality-adjusted life years (QALY) for parents were estimated by mapping the General Health Questionnaire-12 to Euroqol’s EQ-5D-3L to retrieve utilities. Behavioural problems in children were measured using the Child Behaviour Checklist (CBCL). Intervention costs were estimated for the trial. A net benefit regression framework was employed to study the cost-effectiveness of the intervention, dealing with multiple effects in the same analysis to estimate different combinations of willingness-to pay (WTP) thresholds.

Results

For a WTP of roughly €300 for a one point improvement in total problems on the CBCL scale (children), Ladnaan is cost-effective. In contrast, the WTP would have to be roughly €580,000 per QALY (parents) for it to be cost-effective. Various combinations of WTP values for the two outcomes (i.e., CBCL and QALY) may be used to describe other scenarios where Ladnaan is cost-effective.

Conclusions

Decision-makers interested in multiple effects must take into account combinations of effects in relation to budget, in order to obtain cost-effective results. A culturally adapted parenting program may be cost-effective, depending on the primary outcome, or multiple outcomes of interest.

Trial registration clinicaltrials.gov, NCT02114593. Registered 15 April 2014—prospectively registered, https://www.clinicaltrials.gov/ct2/results?recrs=&cond=&term=NCT02114593&cntry=&state=&city=&dist=

A model-based cost-utility analysis of multi-professional simulation training in obstetric emergencies

OBJECTIVE

To determine the cost-utility of a multi-professional simulation training programme for obstetric emergencies-Practical Obstetric Multi-Professional Training (PROMPT)-with a particular focus on its impact on permanent obstetric brachial plexus injuries (OBPIs).

DESIGN

A model-based cost-utility analysis.

SETTING

Maternity units in England.

POPULATION

Simulated cohorts of individuals affected by permanent OBPIs.

METHODS

A decision tree model was developed to estimate the cost-utility of adopting annual, PROMPT training (scenario 1a) or standalone shoulder dystocia training (scenario 1b) in all maternity units in England compared to current practice, where only a proportion of English units use the training programme (scenario 2). The time horizon was 30 years and the analysis was conducted from an English National Health Service (NHS) and Personal Social Services perspective. A probabilistic sensitivity analysis was performed to account for uncertainties in the model parameters.

MAIN OUTCOME MEASURES

Outcomes for the entire simulated period included the following: total costs for PROMPT or shoulder dystocia training (including costs of OBPIs), number of OBPIs averted, number of affected adult/parental/dyadic quality adjusted life years (QALYs) gained and the incremental cost per QALY gained.

RESULTS

Nationwide PROMPT or shoulder dystocia training conferred significant savings (in excess of £1 billion ($1.5 billion)) compared to current practice, resulting in cost-savings of at least £1 million ($1.5 million) per any type of QALY gained. The probabilistic sensitivity analysis demonstrated similar findings.

CONCLUSION

In this model, national implementation of multi-professional simulation training for obstetric emergencies (or standalone shoulder dystocia training) in England appeared to both be cost-saving when evaluating their impact on permanent OBPIs.

Associations between perceived environmental pollution and health-related quality of life in a Chinese adult population

BACKGROUND

Health-related quality of life (HRQoL) measures are being used in increasingly diverse populations. However, there have no known studies to date to examine the associations between perceived environmental pollution and HRQoL in a Chinese population. This study aimed to report the associations between air, water, noise pollution and HRQoL among Chinese adult population.

METHODS

A cross-sectional survey data was used from East Asian Social Survey 2010 with a sample of 3866 Chinese populations regarding environmental pollution. HRQoL was computed by SF-12 and reflected by physical and mental component summary score (PCS & MCS). Ordinary least regression analyses were used to examine associations between perceived environmental pollution and PCS and MCS scores. Models in SPSS PROCESS were selected to demonstrate the moderating and mediating effects.

RESULTS

Only considering one pollutant, perceived air pollution and perceived water pollution had significant associations with PCS and MCS scores. Perceived noise pollution had significant associations with PCS scores. Perceived air×noise, air×water, noise×water, and air×noise×water pollution had significant associations with PCS and MCS scores. Conditional (moderated) mediation showed that there were no moderating effects and mediating effects of perceived one pollutant on another pollutant.

CONCLUSIONS

Co-occurring perceived environmental pollution were mainly associated with progressive increase in PCS and MCS scores among the Chinese adult population. These results suggested that some effective policies should be carried out to improve environmental quality in Chinese adult population.

Validity and Responsiveness of Preference-Based Quality-of-Life Measures in Informal Carers: A Comparison of 5 Measures Across 4 Conditions

OBJECTIVES

Carer quality-of-life (QoL) effects are recommended for inclusion in economic evaluations, but little is known about the relative performance of different types of QoL measures with carers. This study evaluated the validity and responsiveness of 3 care-related QoL measures (the Carer Experience Scale [CES], CarerQoL-7D, and ASCOT-Carer), 1 health-related QoL measure (the EQ-5D-5L), and 1 generic QoL measure (the ICECAP-A).

METHODS

Validity and responsiveness were assessed in a UK sample of informal carers of adults with dementia, stroke, mental illness, or rheumatoid arthritis. A questionnaire containing the 5 QoL measures was posted to carers identified through the Family Resources Survey (N = 1004). Hypotheses regarding the anticipated associations between constructs related to the QoL of carers were tested to investigate construct validity and responsiveness.

RESULTS

Each measure exhibited some level of construct validity. In general, larger effect sizes and stronger associations were detected for the ASCOT-Carer and ICECAP-A measures in the pooled sample and across all conditions. The 5 measures did not exhibit clear responsiveness to changes over a 12-month period in care recipient health status or hours of care provided per week.

CONCLUSION

The results of this study provide initial evidence of the validity of care-related, health-related, and generic QoL (capability) measures in informal carers of adults with 4 highly prevalent conditions. Care-related measures were not always more sensitive to constructs associated with QoL of carers compared with generic measures. The performance of the ICECAP-A was comparable with that of the best-performing care-related measure, the ASCOT-Carer.

Children with an Autism Spectrum Disorder and Their Caregivers: Capturing Health-Related and Care-Related Quality of Life

This study investigated health-related QoL (HRQoL) and care-related quality of life (CarerQol) in clinically referred children with an autism spectrum disorder (ASD), and their primary and secondary caregivers. The EuroQol five-dimensional (EQ-5D) and the CarerQol questionnaires were used to respectively measure health-related QoL and care-related QoL. Primary caregivers reported pain/discomfort (42%) and anxiety/depression (40%). In caring, they mostly experienced problems in the relationship with the child (84%), and in combining care with daily activities (51%). Children with ASD had a relevantly lower QoL. Despite negative effects, almost all caregivers (96%) derived fulfillment from caring for their affected children. HRQoL and CarerQol reports of primary caregivers and children were correlated, both providing useful information to ASD measurement and treatment.

Impact of hereditary pancreatitis on patients and their families

Hereditary pancreatitis (HP), a highly penetrant (~80%) autosomal dominant disease associated with PRSS1 variants, causes acute pancreatitis in childhood and chronic pancreatitis by early adulthood. Other clinical features include pain, diabetes, and risk of pancreatic cancer. HP kindreds were prospectively recruited from 1995 to 2015. At enrollment, study participants completed medical and family history questionnaires, and provided samples for genotyping. Participants were recontacted between 2015 and 2017 and asked to complete a survey on concerns and experiences related to HP, PRSS1 testing, and genetic counseling. Data were analyzed with descriptive and thematic methods. Thirty-nine affected participants with HP and 21 unaffected family members completed the survey. Among unaffected family members, 'worry' and 'helplessness' were frequently described as the most difficult problem in their family because of HP, particularly with regard to pain. Three participants described the impact of drug addiction on their family. 'School or work limitations' was the leading financial concern, with 65.5% (36/55) rating it as 'moderately' or 'extremely important.' Unexpectedly, only 62% (21/34) of affected PRSS1 carriers believed the chance for a parent to pass HP to his or her children was 50%, whereas 18% (6/34) believed the chance was 100%. The impact of HP on individuals and families varied, which may reflect the highly unpredictable nature of HP severity and outcomes. Based on current and previously reported findings, an overview of important issues for genetic counselors to consider for counseling HP families is included.

Health-related quality of life in neonates and infants: a conceptual framework

PURPOSE

With reduced mortality of neonatal conditions, health-related quality of life (HRQOL) has become an important clinical outcome. However, since the meaning of HRQOL in dependent, non-autonomous infants and neonates remains largely undefined, HRQOL measurement and economic evaluation are limited due to the lack of age-specific methodology. The objective was to construct a conceptual framework of neonatal and infant HRQOL (NIHRQOL) which identifies factors relevant to the neonate and infant, their relationship with each other and the caregiving environment.

METHODS

Using qualitative methods, a concept was developed based on in-depth analysis of verbatim records of two focus groups (6 caregivers, 6 healthcare providers) and five interviews with caregivers of chronically ill neonates/infants (n = 2), and healthcare professionals of a pediatric tertiary healthcare center (n = 3). Two analysts independently performed thematic analysis using an inductive and contextual approach.

RESULTS

The majority of participants regarded NIHRQOL as an individual entity, which was closely related and strongly influenced by caregivers and family. It may be gauged by the perceived degree of effort required to achieve expected normalcy in everyday life for the neonate/infant and its family. The importance of individual HRQOL factors is developmental stage-dependent.

CONCLUSION

Neonatal and infant HRQOL is a multidimensional, multilayered and interconnected concept, where the child's needs contribute most directly, and the caregiver's and society's ability to meet those needs characterize the interdependence between the child and its caregiving environment. Developmental stage-specific HRQOL instruments for premature and mature neonates, and infants are warranted to allow for valid HRQOL measurement.

Incorporating Household Spillovers in Cost Utility Analysis: A Case Study Using Behavior Change in COPD

OBJECTIVES

It is important to capture all health effects of interventions in cost-utility analyses conducted under a societal or healthcare perspective. However, this is rarely done. Household spillovers (health effects on patients' other household members) may be particularly likely in the context of technologies and interventions to change behaviors that are interdependent in the household. Our objective was to prospectively collect outcome data from household members and illustrate how these can be included in a cost-utility analysis of a behavior change intervention in chronic obstructive pulmonary disease (COPD).

METHODS

Data were collected from patients' household members (n = 153) alongside a randomized controlled trial of a COPD self-management intervention. The impact of the intervention on household members' EQ-5D-5L scores (primary outcome), was evaluated. Analyses were then carried out to estimate household members' quality-adjusted life-years (QALYs) and assess the impact of including these QALYs on cost-effectiveness.

RESULTS

The intervention had a negligible spillover on household members' EQ-5D-5L scores (-0.007; p = .75). There were also no statistically significant spillovers at the 5 percent level in household member secondary outcomes. In the base-case model, the inclusion of household member QALYs in the incremental cost-effectiveness ratio (ICER) denominator marginally increased the ICER from GBP 10,271 (EUR 13,146) to GBP 10,991 (EUR 14,068) per QALY gained.

CONCLUSIONS

This study demonstrates it is feasible to prospectively collect and include household members' outcome data in cost utility analysis, although the study highlighted several methodological issues. In this case, the intervention did not impact significantly on household members' health or health behaviors, but inclusion of household spillovers may make a difference in other contexts.

Measuring Health Spillover Effects in Caregivers of Children with Autism Spectrum Disorder: A Comparison of the EQ-5D-3L and SF-6D

BACKGROUND AND OBJECTIVE

Healthcare interventions that improve the health of children with autism spectrum disorder (ASD) have the potential to affect the health of caregivers. This study compares the three-level EuroQoL-5 Dimension (EQ-5D-3L) and the Short Form-6 Dimension (SF-6D) in their ability to value such spillover effects in caregivers.

METHODS

Clinical data collected from two Autism Treatment Network (ATN) sites was combined with survey data of caregivers of children diagnosed with ASD. Caregivers completed instruments by proxy describing child health and completed the EQ-5D-3L and SF-6D preference-weighted instruments to describe their own health.

RESULTS

There was a strong correlation between the health utility scores of the two preference-weighted instruments (ρ = 0.6172, p < 0.001) measuring caregiver health-related quality of life. There was a similar correlation between both the SF-6D and EQ-5D-3L scores with a previously validated care-related quality of life measure (Care-related Quality of Life instrument [CarerQol-7D]) (ρ = 0.569, p < 0.001 and ρ = 0.541, p < 0.001, respectively). The mean SF-6D scores for caregivers differed significantly in relation to four of the five child health or behavior measures whereas the EQ-5D-3L differed for only two of them.

CONCLUSIONS

Health utility values of caregivers for children with ASD vary by the health characteristics of the child, suggesting significant potential for spillover effects. The comparison of the EQ-5D-3L and SF-6D demonstrated that both instruments can be used to estimate spillover effects of interventions to improve child health, but the SF-6D exhibited greater sensitivity to child health among children with ASD.

Family Spillover Effects in Pediatric Cost-Utility Analyses

BACKGROUND

Childhood illness can impose significant costs and health strains on family members, but these are not routinely captured by pediatric economic evaluations. This review investigated how family "spillover effects" related to costs and health outcomes are considered in pediatric cost-utility analyses (CUAs).

METHODS

We reviewed pediatric CUAs published between 2000 and 2015 using the Tufts Medical Center Cost-effectiveness Analysis (CEA) Registry and the Pediatric Economic Database Evaluation (PEDE) Registry. We selected studies conducted from the societal perspective and included in both registries. We investigated how frequently family spillover was incorporated into analyses, and how the inclusion of spillover health effects and costs changed CUA results.

RESULTS

We found 142 pediatric CUAs meeting inclusion criteria. Of those, 105 (72%) considered either family spillover costs (n = 98 time costs, n = 33 out-of-pocket costs, n = 2 caregiver healthcare costs) or health outcomes (n = 15). Twenty-four studies included 43 pairs of incremental cost-effectiveness ratios (ICERs) with and without spillover. In 19 pairs of ICERs, adding spillover changed the ICER enough to cross a common cost-effectiveness threshold (i.e., $50,000/QALY, $100,000/QALY, $150,000/QALY; values are in 2016 US$). Incorporating spillover generally made interventions more cost-effective (n = 18; 42%), or did not change CUA results enough to cross a threshold (n = 24; 56%). Including family spillover reduced ICERs by 31% ($40,000/QALY) on average.

CONCLUSION

Most pediatric CUAs conducted from a societal perspective include family costs but fewer include family health effects. Inclusion of family spillover effects tends to make CUA results more favorable. Future pediatric CUAs should aim to more fully incorporate the family burden of illness.

The Monetary Value of Informal Care: Obtaining Pure Time Valuations Using a Discrete Choice Experiment

BACKGROUND

Interventions in health care often not only have an effect on patients, but also on their informal caregivers. Caregiving can have a profound impact on the health and wellbeing of carers. Ignoring these spillovers in economic evaluations risks labelling interventions mistakenly as cost-effective, at the expense of informal caregivers.

OBJECTIVE

This paper investigates willingness-to-accept (WTA) values for an hour of informal care, corrected for positive and negative impacts of informal care, to facilitate the inclusion of informal care hours on the cost side of economic evaluations without double-counting spillover effects.

METHODS

A discrete choice experiment (DCE) was conducted among a representative sample of the adult population in the Netherlands (n = 552) in September 2011. An experimental design minimizing the D-error was used to construct choice sets with two unlabelled alternatives with the attributes 'hours caregiving', 'monetary compensation for caregiving' and seven impacts of caregiving. To operationalize the random utility model, we used a panel mixed multinomial logit (MMNL) parameter model. For calculation of WTA, we used both population-level parameters and individual-level parameters.

RESULTS

The mean WTA for an additional hour of informal care, corrected for positive and negative impacts of informal care, was €14.57. The signs of the coefficients were all in the expected directions.

CONCLUSIONS

This study reports a preference-based monetary value for informal care, corrected for other impacts. This valuation facilitates the inclusion of informal care hours on the cost side in economic evaluations without double-counting any spillover effects included on the effects side.

Estimating Informal Caregiving Time from Patient EQ-5D Data: The Informal CARE Effect (iCARE) Tool

BACKGROUND

Families and friends provide a considerable proportion of care for patients and elderly people. Caregiving can have substantial effects on caregivers' lives, health, and well-being. However, because clinical trials rarely assess these effects, no information on caregiver burden is available when evaluating the cost effectiveness of treatments.

OBJECTIVE

This study develops an algorithm for estimating caregiver time using information that is typically available in clinical trials: the EQ-5D scores of patients and their gender.

METHODS

Four datasets with a total of 8012 observations of dyads of caregivers and a gamma model with a log-link estimated with the Bayesian approach were used to estimate the statistical association between patient scores on the EQ-5D-3L dimensions and the numbers of hours of care provided by caregivers during the previous week. The model predicts hours of care as mean point estimates with 95% credible intervals or entire distributions.

RESULTS

Model predictions of hours of care based on the five EQ-5D dimensions ranged from 13.06 (12.7-14.5) h/week for female patients reporting no health problems but receiving informal care to 52.82 (39.38-66.26) for male patients with the highest level of problems on all EQ-5D dimensions.

CONCLUSIONS

The iCARE algorithm developed in this study allows researchers who only have patient-level EQ-5D data to estimate the mean hours of informal care received per week, including a 95% Bayesian credible interval. Caregiver time can be multiplied with a monetary value for caregiving, enabling the inclusion of informal care costs in economic evaluations. We recommend using the tool for samples that fall within the confidence intervals of the characteristics of our samples: men (age range 47.0-104.2 years), women (age range 55-103 years).

Spillover Effects of Long-Term Disabilities on Close Family Members

BACKGROUND

Care and support of people dealing with long-term disabilities involves the entire family.

OBJECTIVE

This paper evaluates the effect of living with a relative dealing with a long-term disability on the health status of all family members in the household.

METHODS

Using information from the Swiss household panel from the year 1999 to 2003 (n = 18,030), a linear regression is implemented to compare the health status of family members cohabiting with individuals dealing with a long-term disability with the health status of individuals of similar characteristics in the general population. Additionally, a non-parametric graphical analysis estimates the smooth patterns of the results over time.

RESULTS

Family members who cohabit with a person dealing with a long-term disability have a consistently reduced health status. The size of the impact depends on the sex and the role in the family. In general, women show the most negative effects. For children, the impact depends on the relationship with the disabled person.

CONCLUSIONS

Recognizing the presence of health spillovers can help to design policies to better support families. Being the perceived health status a good indicator of the use of health services and mortality, the health system should focus on the entire family, and not only on the patient or the main caregiver.

Setting the Boundaries for Economic Evaluation: Investigating Time Horizon and Family Effects in the Case of Postnatal Depression

OBJECTIVES

This study investigates the impact of varying the boundaries of economic evaluation: time horizon and inclusion of family effects. The context is postnatal mental health, where although advocates for investment often include longer-term and family problems in describing the burden of postnatal depression, economic evaluations are usually limited to mothers' effects with a relatively short time horizon. This discrepancy may lead to suboptimal allocation of healthcare resources.

METHODS

The question of whether such boundary extensions could make a difference to decision-making is explored using decision analytic models, populated with data from the literature, to estimate the cost-effectiveness of a hypothetical preventive intervention under alternate boundary-setting approaches.

RESULTS

The results suggest that broader boundaries, particularly extension of the time horizon, could make substantial differences to estimated cost-effectiveness. Inclusion of family effects without extension of the time horizon had little impact, but where a longer time horizon was used, family effects could make a significant difference to the conclusions drawn from cost-effectiveness analysis.

CONCLUSIONS

Considerations in applying broader boundaries include the substantial resource requirements for evaluation, potential equity implications, relevance to decision-makers, methods for inclusion, and the interpretation and use of such results in decision-making. However, this context underscores the importance of considering not only caregiving but also family health effects, and illustrates the need for consistency between the arguments presented to decision-makers and the analytical approach taken in economic evaluation.

Influence of the child's perceived general health on the primary caregiver's health status

BACKGROUND

In estimating the impact of an intervention, ignoring the effect of improving the health of one member of the caregiver/child dyad on the Health Related Quality of Life (HRQoL) of the other member may lead to an underestimation of the utility gained. This may be particularly true for infants/young children and their caregivers. The aim of this study was to quantify the interaction between the child's perceived general health as assessed by the newly developed Toddler and Infant Questionnaire (TANDI) on the reporting of the caregiver's own HRQoL as assessed by the EQ-5D-3 L.

METHODS

A sample of 187 caregivers participated. A total of 60 caregivers of acutely-ill (AI) and 60 caregivers of chronically-ill (CI) children were recruited from a children's hospital. The 67 caregivers of general population (GP) children were recruited at a pre-school. Each caregiver completed the proxy rating of their child's HRQoL on the TANDI (The TANDI is an experimental HRQoL instrument, modelled on the EQ-5D-Y proxy, for children aged 1-36 months), which comprises of six dimensions of health and a rating of general health on a Visual Analogue Scale (VAS). The caregiver completed the EQ-5D-3 L, a self-report measure of their own HRQoL. Forward stepwise regression models were developed with 1) the VAS score of the caregiver and 2) the VAS score of the child as dependent variables. The independent variables for the caregiver included dummy variables for the presence or absence of problems on the EQ-5D-3 L and the VAS score of the child. The independent variables for the child included dummy variables for each TANDI dimension and the VAS of the caregiver.

RESULTS

The TANDI results indicated that in five of the six dimensions AI children had more problems than the other two groups and the GP children were reported to have a significantly higher VAS than the other two groups. The child's VAS was significantly correlated with the caregiver's VAS in all groups, but most strongly in the AI group. The preference based scores (using the UK TTO tariff) were only correlated in the AI group. The inclusion of the child's VAS increased the variance accounted for 11% of the VAS score of the caregiver. Anxiety and depression was the only dimension which accounted for more variance (18%). Similarly the perceived health state, VAS of the caregiver accounted for 14% of the variance in the child's VAS, second only to problems with play (25%).

CONCLUSION

There does indeed appear to be a strong relationship between the VAS scores of the children and their caregivers. The perceived general health of the child influences the caregivers reporting of their general health, more than their own report of experiencing pain or discomfort or problems with mobility. Thus, improving the HRQoL of the very young child may improve the caregiver's HRQoL as well. Conversely, if the caregiver has a lower perceived HRQoL this may result in a decrement in the reported VAS of the child, independent of the presence or absence of problems in the different dimensions. This improvement is not currently captured by Cost Utility Analysis (CUA). It is recommended that future research investigates this effect with regards to CUA calculations.

Predicting carer health effects for use in economic evaluation

Background

Illnesses and interventions can affect the health status of family carers in addition to patients. However economic evaluation studies rarely incorporate data on health status of carers.

Objectives

We investigated whether changes in carer health status could be ‘predicted’ from the health data of those they provide care to (patients), as a means of incorporating carer outcomes in economic evaluation.

Methods

We used a case study of the family impact of meningitis, with 497 carer-patient dyads surveyed at two points. We used regression models to analyse changes in carers’ health status, to derive predictive algorithms based on variables relating to the patient. We evaluated the predictive accuracy of different models using standard model fit criteria.

Results

It was feasible to estimate models to predict changes in carers’ health status. However, the predictions generated in an external testing sample were poorly correlated with the observed changes in individual carers’ health status. When aggregated, predictions provided some indication of the observed health changes for groups of carers.

Conclusions

At present, a ‘one-size-fits-all’ predictive model of carer outcomes does not appear possible and further research aimed to identify predictors of carer’s health status from (readily available) patient data is recommended. In the meanwhile, it may be better to encourage the targeted collection of carer data in primary research to enable carer outcomes to be better reflected in economic evaluation.

Measuring Health Spillovers for Economic Evaluation: A Case Study in Meningitis

The health of carers and others close to the patient will often be relevant to economic evaluation, but it is very rarely considered in practice. This may reflect a lack of understanding of how the spillover effect of illness can be appropriately quantified. In this study we used three different approaches to quantify health spillovers resulting from meningitis. We conducted a survey of 1218 family networks affected by meningitis and used regression modelling to estimate spillover effects. The findings show that meningitis had long-term effects on family members' health, particularly affecting the likelihood of family members reporting anxiety and depression. These effects extended beyond a single close family member. These findings suggest that vaccinating against meningitis will bring significant health benefits not just to those that might have contracted the illness but also to their family networks. In methodological terms, different approaches for quantifying health spillovers provided broadly consistent results. The choice of method will be influenced by the ease of collecting primary data from family members in intervention contexts. © 2015 The Authors. Health Economics published by John Wiley & Sons Ltd.

EQ-5D in Central and Eastern Europe: 2000-2015

OBJECTIVE

Cost per quality-adjusted life year data are required for reimbursement decisions in many Central and Eastern European (CEE) countries. EQ-5D is by far the most commonly used instrument to generate utility values in CEE. This study aims to systematically review the literature on EQ-5D from eight CEE countries.

METHODS

An electronic database search was performed up to 1 July 2015 to identify original EQ-5D studies from the countries of interest. We analysed the use of EQ-5D with respect to clinical areas, methodological rigor, population norms and value sets.

RESULTS

We identified 143 studies providing 152 country-specific results with a total sample size of 81,619: Austria (n = 11), Bulgaria (n = 6), Czech Republic (n = 18), Hungary (n = 47), Poland (n = 51), Romania (n = 2), Slovakia (n = 3) and Slovenia (n = 14). Cardiovascular (21 %), neurologic (17 %), musculoskeletal (15 %) and endocrine, nutritional and metabolic diseases (13 %) were the most frequently studied clinical areas. Overall, 112 (78 %) of the studies reported EQ VAS results and 86 (60 %) EQ-5D index scores, of which 27 (31 %) did not specify the applied tariff. Hungary, Poland and Slovenia have population norms. Poland and Slovenia also have a national value set.

CONCLUSIONS

Increasing use of EQ-5D is observed throughout CEE. The spread of health technology assessment activities in countries seems to be reflected in the number of EQ-5D studies. However, improvement in informed use and methodological quality of reporting is needed. In jurisdictions where no national value set is available, in order to ensure comparability we recommend to apply the most frequently used UK tariff. Regional collaboration between CEE countries should be strengthened.

A Framework for Including Family Health Spillovers in Economic Evaluation

Health care interventions may affect the health of patients' family networks. It has been suggested that these "health spillovers" should be included in economic evaluation, but there is not a systematic method for doing this. In this article, we develop a framework for including health spillovers in economic evaluation. We focus on extra-welfarist economic evaluations where the objective is to maximize health benefits from a health care budget (the "health care perspective"). Our framework involves adapting the conventional cost-effectiveness decision rule to include 2 multiplier effects to internalize the spillover effects. These multiplier effects express the ratio of total health effects (for patients and their family networks) to patient health effects. One multiplier effect is specified for health benefit generated from providing a new intervention, one for health benefit displaced by funding this intervention. We show that using multiplier effects to internalize health spillovers could change the optimal funding decisions and generate additional health benefits to society.

Measuring caregiver outcomes in palliative care: a construct validation study of two instruments for use in economic evaluations

PURPOSE

Providing care to patients nearing the end of life can place a considerable burden on caregivers. Hence, policy decisions on interventions in palliative care should be guided by information on this burden. This study investigates construct validation of two preference-based caregiver outcome instruments suitable for economic evaluations: the Carer Experience Scale (CES) and the Care-related Quality of Life (CarerQol) instrument. Moreover, this study reports caregiver experiences in end-of-life care.

METHODS

Data were collected with written questionnaires among caregivers of patients receiving palliative care services in the Southern metropolitan area of Adelaide, South Australia (n = 97). The effect of caregiving on caregivers was measured with the CES, CarerQol, Process Utility (PU) and Caregiver Strain Index (CSI). Convergent, discriminative and clinical validity were studied.

RESULTS

As hypothesized, higher negative effect of caregiving measured on the CES was associated with higher negative effect on the CarerQol. Both the CES and CarerQol were associated in the expected positive direction with less strain from caregiving (CSI), more positive care experiences and more PU from caring. Caregivers' and care recipients' health status and duration of caregiving were negatively associated with caring experiences.

CONCLUSIONS

Our findings suggest that the CES and CarerQol validly assess the effect of caregiving on caregivers in end-of-life care. Economic evaluations in end-of-life care should attempt to incorporate such instruments to provide a more holistic assessment of the true impact of interventions, especially where family and friends are heavily involved in caregiving.

Mixed housing with DBA/2 mice induces stress in C57BL/6 mice: implications for interventions based on social enrichment

Several behavioral interventions, based on social enrichment and observational learning are applied in treatment of neuropsychiatric disorders. However, the mechanism of such modulatory effect and the safety of applied methods on individuals involved in social support need further investigation. We took advantage of known differences between inbred mouse strains to reveal the effect of social enrichment on behavior and neurobiology of animals with different behavioral phenotypes. C57BL/6 and DBA/2 female mice displaying multiple differences in cognitive, social, and emotional behavior were group-housed either in same-strain or in mixed-strain conditions. Comprehensive behavioral phenotyping and analysis of expression of several plasticity- and stress-related genes were done to measure the reciprocal effects of social interaction between the strains. Contrary to our expectation, mixed housing did not change the behavior of DBA/2 mice. Nevertheless, the level of serum corticosterone and the expression of glucocorticoid receptor Nr3c1 in the brain were increased in mixed housed DBA/2 as compared with those of separately housed DBA/2 mice. In contrast, socially active C57BL/6 animals were more sensitive to the mixed housing, displaying several signs of stress: alterations in learning, social, and anxiety-like behavior and anhedonia. These behavioral impairments were accompanied by the elevated serum corticosterone and the reduced expression of Nr3c1, as well as the elevated Bdnf levels in the cortex and hippocampus. Our results demonstrate the importance of social factors in modulation of both behavior and the underlying neurobiological mechanisms in stress response, and draw attention to the potential negative impact of social interventions for individuals involved in social support.

Measuring family HRQoL spillover effects using direct health utility assessment

Background. Applications of cost-effectiveness analysis do not typically incorporate effects on caregiver quality of life despite increasing evidence that these effects are measurable. Methods. Using a national sample of US adults, we conducted 2 cross-sectional surveys during December 2011 and January 2012. One version asked respondents to value their own experience as the family member of a person with a chronic illness (experienced sample), and the other version asked respondents to value hypothetical scenarios describing the experience of having a family member with a chronic illness (community sample). Conditions included Alzheimer’s disease/dementia, arthritis, cancer, and depression. Using standard gamble questions, respondents were asked to value the spillover effects of a family member’s illness. We used regression analysis to evaluate the disutility (loss in health-related quality of life) of having a family member with a chronic illness by condition and relationship type, controlling for the respondent’s own conditions and sociodemographic characteristics. Results. For the experienced sample (n = 1389), regression analyses suggested that greater spillover was associated with certain conditions (arthritis, depression) compared with other conditions (Alzheimer’s disease, cancer). For the community sample (n = 1205), regression analyses indicated that lower spillover was associated with condition (cancer) but not the type of relationship with the ill family member (parent, child, spouse). Conclusions. The effects of illness extend beyond the individual patient to include effects on caregivers of patients, parents of ill children, spouses, and other close family and household members. Cost-effectiveness analyses should consider the inclusion of health-related quality of life spillover effects in addition to caregiving time costs incurred by family members of ill individuals.

How illness affects family members: a qualitative interview survey

OBJECTIVE

Spillover effects of illness on family members can be substantial. The objective of this study was to identify the domains of family members' health and well-being that are affected when a relative has a chronic health condition.

METHODS

Semi-structured telephone interviews were conducted in February 2012 with 49 individuals whose relatives had any of five chronic health conditions (arthritis, cancer, Alzheimer's disease/dementia, cerebral palsy, and depression), purposively sampled to include different relationships with the ill relative (parent, child, spouse). Subjects were queried on whether and how having an ill relative affected their health and well-being; they were also asked about their caregiving responsibilities and the relative's health. Interview data were analyzed using thematic analysis.

RESULTS

Family members in our sample reported experiencing psychological and non-health effects from having an ill relative, and secondarily somatic effects. Effects on emotional health were most commonly reported as psychological spillover; non-health effects frequently included changes in daily activities and provision of caregiving. Spouses of patients reported the broadest range of spillover domains affected and adolescents of ill parents the fewest. Family members reported experiencing effects that were perceived as both positive and negative.

CONCLUSIONS

Spillover of illness onto family members encompasses a wide range of domains of health and well-being, extending beyond those included in many existing health-related quality of life measures. Outcomes measurement efforts should be expanded to adequately capture these health and well-being outcomes for analysis, to ensure that the benefits of interventions are accurately estimated and conclusions are valid.

Variation in the spillover effects of illness on parents, spouses, and children of the chronically ill

BACKGROUND

Given the broad scope of the spillover effects of illness, it is important to characterize the variability in these outcomes to identify relationship types in which secondary impacts of illness are particularly important to include in health economic evaluations.

PURPOSE

To examine heterogeneity in spillover effects of chronic conditions on family members by type of familial relationship with patient.

METHODS

Adults (aged ≥18 years) and adolescents (aged 13-17 years) who had a parent, spouse, or child in their household with a chronic condition (Alzheimer's disease/dementia, arthritis, cancer, or depression) were recruited from a US national panel to participate in an on-line survey. Respondents were asked to rate the spillover effect of their family member's illness on their own health on a 0-100 scale, with lower scores indicating greater spillover. Regression analysis was used to evaluate the association between rating scale scores and relationship with an ill family member (ill parent, child, or spouse) for each illness separately, controlling for caregiving responsibility and the health status of the ill family member.

RESULTS

1,267 adults and 102 adolescents met inclusion criteria. In adjusted analyses, having a sick child was significantly (p < 0.05) associated with lower rating scale scores compared with having a spouse with the same condition (cancer: -24.2; depression -9.7). Having a non-elderly or elderly adult parent with a condition, compared with a spouse, was significantly associated with lower rating scale scores for arthritis (-3.8) and depression (-5.3), but not for Alzheimer's disease/dementia or cancer.

CONCLUSIONS

The impact of illness on family members, measured with a rating scale, varies by relationship type for certain illnesses. Having a child with cancer, a parent with arthritis, or either with depression, is significantly associated with greater spillover, compared with having a spouse with one of these conditions.

Disutility of illness for caregivers and families: a systematic review of the literature

BACKGROUND

Caring for an ill or disabled family member imposes a well-documented burden on the caregiver. The benefits of a health intervention may be underestimated if "spillover" effects on family members are not captured, resulting in inaccurate conclusions of economic evaluations.

OBJECTIVE

To provide an estimate of, and to summarize measurement approaches for, the spillover disutility of illness on family members, relatives, and caregivers, through a systematic review of the literature.

METHODS

The medical (PubMED), psychology (PsycINFO), and economics (EconLit) literatures were searched from inception through February 2012 for published studies measuring spillover disutility of illness on family members and caregivers. Inclusion criteria were (1) studies using preference-based measures of health-related quality of life, and (2) studies reporting spillover disutility, or (3) studies reporting data from which a spillover disutility could be inferred.

RESULTS

Fifteen studies were included in this review: seven reported estimates of spillover disutility and eight reported data from which disutility could be inferred. Three studies found no disutility associated with spillover, whereas 12 found measurable effects as large as -0.718 (and two found evidence of positive spillover in subsets of their samples). Generic (indirect) utility instruments were primarily used to measure spillover, including the EQ-5D, QWB, and HUI (n = 13), though two studies used modified versions of the time trade-off technique. Illnesses studied included childhood disorders (e.g., spina bifida, congenital malformations), diseases of the elderly (e.g., Alzheimer's disease and dementia), physically disabling conditions (e.g., arthritis, multiple sclerosis), and medical conditions such as cancer and stroke. The persons affected by spillover included parents, grandparents, spouses/partners, other family caregivers, and household members.

CONCLUSIONS

There is a limited literature on the spillover disutility of illness on family members and caregivers, providing some specific estimates of a generally small, negative effect for particular conditions and individuals. Measurement methods vary across studies and a consensus approach has not yet been reached. Evidence suggests that the inclusion of spillover effects in economic evaluations would increase the relative effectiveness of interventions that address conditions with spillover compared to those without, though such differential benefits may be limited to such specific circumstances.