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

Implementation of a value-based approach for older people who have suffered an acute myocardial infarction: study protocol

Introduction

Due to the rapid aging of the global population, new approaches are required to improve the quality of life of older people and to reduce healthcare system expenditures. One of the approaches that can be used is value-based healthcare. This article describes a value-based solution for older people who have suffered a myocardial infarction.

Methods

This solution combines the work of healthcare professionals and informal caregivers and the use of modern and user-friendly technologies to support the achievement of patients' values. Patients older than 65 years who have suffered a myocardial infarction will be divided into control and intervention groups within a pre-post-controlled design research study. Members of the intervention group will be provided with a personalized plan developed by healthcare professionals and based on the results from the baseline questionnaire.

Discussion

Two ValueCare digital solution components will be developed: a mobile application for the participants and a web platform for the professionals, researchers, and informal caregivers. Together with smartwatches, which will track important health aspects, and applications, this approach would enable older people to improve their health through correct lifestyle choices and their professional and informal caregivers to track their progress. With the use of the described technology and the multidisciplinary approach, the unmet needs and values of participants could be achieved. Using this approach, it could be possible to reduce overall healthcare expenses through the active involvement of both older people and their informal caregivers through a shared decision-making process with healthcare professionals.

Clinical trial registration

The ISRCTN registry number is 25089186. The date of trial registration is 16/11/2021.

Including carer health-related quality of life in NICE health technology assessments in the United Kingdom

The impact of health technologies may extend beyond the patient and affect the health of people in their network, like their informal carers. The National Institute for Health and Care Excellence (NICE) methods guide explicitly allows the inclusion of health-related quality of life (HRQoL) effects on carers in economic evaluations when these effects are substantial, but the proportion of NICE appraisals that includes carer HRQoL remains small. This paper discusses when inclusion of carer HRQoL is justified, how inclusion can be substantiated, and how carer HRQoL can be measured and included in health economic models. Inclusion of HRQoL in economic evaluations can best be substantiated by data collected in (carers for) patients eligible for receiving the intervention. To facilitate combining patient and carer utilities on the benefit side of economic evaluations, using EQ-5D to measure impacts on carers seems the most successful strategy in the UK context. Alternatives to primary data collection of EQ-5D include vignette studies, using existing values, and mapping algorithms. Carer HRQoL was most often incorporated in economic models in NICE appraisals by employing (dis)utilities as a function of the patient's health state or disease severity. For consistency and comparability, economic evaluations including carer HRQoL should present analyses with and without carer HRQoL.

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.

Research trends in contemporary health economics: a scientometric analysis on collective content of specialty journals

INTRODUCTION

Health economics is a thriving sub-discipline of economics. Applied health economics research is considered essential in the health care sector and is used extensively by public policy makers. For scholars, it is important to understand the history and status of health economics-when it emerged, the rate of research output, trending topics, and its temporal evolution-to ensure clarity and direction when formulating research questions.

METHODS

Nearly 13,000 articles were analysed, which were found in the collective publications of the ten most specialised health economic journals. We explored this literature using patterns of term co-occurrence and document co-citation.

RESULTS

The research output in this field is growing exponentially. Five main research divisions were identified: (i) macroeconomic evaluation, (ii) microeconomic evaluation, (iii) measurement and valuation of outcomes, (iv) monitoring mechanisms (evaluation), and (v) guidance and appraisal. Document co-citation analysis revealed eighteen major research streams and identified variation in the magnitude of activities in each of the streams. A recent emergence of research activities in health economics was seen in the Medicaid Expansion stream. Established research streams that continue to show high levels of activity include Child Health, Health-related Quality of Life (HRQoL) and Cost-effectiveness. Conversely, Patient Preference, Health Care Expenditure and Economic Evaluation are now past their peak of activity in specialised health economic journals. Analysis also identified several streams that emerged in the past but are no longer active.

CONCLUSIONS

Health economics is a growing field, yet there is minimal evidence of creation of new research trends. Over the past 10 years, the average rate of annual increase in internationally collaborated publications is almost double that of domestic collaborations (8.4% vs 4.9%), but most of the top scholarly collaborations remain between six countries only.

Informal Care Costs According to Age and Proximity to Death to Support Cost-Effectiveness Analyses

BACKGROUND

Costs of informal care are ignored in many cost-effectiveness analyses (CEAs) conducted from a societal perspective; however, these costs are relevant for lifesaving interventions targeted at the older population. In this study, we estimated informal care costs by age and proximity to death across European regions and showed how these estimates can be included in CEAs.

METHODS

We estimated informal care costs by age and proximity to death using generalised linear mixed-effects models. For this, we selected deceased singles from the Survey of Health, Ageing and Retirement, which we grouped by four European regions. We combined the estimates of informal care costs with life tables to illustrate the impact of including informal care costs on the incremental cost-effectiveness ratio (ICER) of a hypothetical intervention that prevents a death at different ages.

RESULTS

Informal care use, and hence informal care costs, increase when approaching death and with increasing age. The impact of including informal care costs on the ICER varies between €200 and €17,700 per quality-adjusted life-year gained. The impact increases with age and is stronger for women and in southern European countries.

CONCLUSION

Our estimates of informal care costs facilitate including informal care costs in CEAs of life-extending healthcare interventions. Including these costs may influence decisions as it leads to reranking of life-extending interventions compared with interventions improving quality of life.

Family Spillover Effects: Are Economic Evaluations Misrepresenting the Value of Healthcare Interventions to Society?

The societal impacts of health interventions are seldom incorporated into health economic evaluations, including the impact that illness can have on informal or unpaid caregivers and other family members (i.e., "family spillover effects"). Previous research has demonstrated that by excluding family spillover effects, the value of health interventions may be underestimated on average. In this commentary, we discuss how the inclusion of spillover effects influences how we value interventions and, given the extent to which caregiver/family effects are largely not captured or known, propose ways in which these data could be more systematically collected or estimated and used by researchers. These recommendations include prioritizing data collection alongside clinical trials and patient registries, engaging expert opinion panels, and developing mapping algorithms for estimating caregiver/family utility values from non-preference-based caregiver health-related quality-of-life measures and/or from patient preference-based measures.

Patients' productivity losses and informal care costs related to ischemic stroke: a French population-based study

BACKGROUND AND PURPOSE

Large societal costs of stroke should not be ignored. We aimed to estimate patients' productivity losses and informal care costs during the first year after ischemic stroke.

METHODS

A cross-sectional survey was performed within the STROKE69 regional population-based cohort study. At 1 year post-stroke, each patient and the corresponding main informal caregiver received questionnaires followed by a telephone interview if necessary. Time losses were valued using the human capital approach and proxy good method for patients with and without a professional activity, respectively.

RESULTS

Among the 222 patients with ischemic stroke (58% men; mean age 68 years; and 86% with a modified Rankin Scale (mRS) score of <3 at 3 months), 54%, 32%, and 25% received informal, formal, and both cares, respectively. Among the 108 main informal caregivers, 63% were women, 74% lived with the patient, and 57% were retired or unemployed. The mean cost of productivity losses was estimated at €7589 ± €12 305 per patient in the first post-stroke year with 5.4%, 71.2%, and 23.4% of these being attributed to presenteeism, absenteeism, and leisure time, respectively. Informal care was given at an average of 25 h/week. The annual mean estimated total cost of informal care was €10 635 per caregiver.

CONCLUSIONS

Informal care and productivity losses of patients with ischemic stroke during the first post-stroke year represent a significant economic burden for society comparable to direct costs. These costs should be included in economic evaluations with the adoption of a societal perspective to avoid underestimating the societal stroke economic burden.

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.

Cost-Utility Analyses of Interventions for Informal Carers: A Systematic and Critical Review

BACKGROUND

Demographic and epidemiological changes place an increasing reliance on informal carers. Some support programmes exist, but funding is often limited. There is a need for economic evaluation of interventions for carers to assist policymakers in prioritizing carer support.

OBJECTIVE

Our aim was to systematically review and critically appraise cost-utility analyses of interventions for informal carers, in order to assess the methods employed and the quality of the reporting.

METHODS

A systematic review of databases was conducted using MEDLINE, Embase, PsycINFO, and EconLit of items published between 1950 and February 2019. Published studies were selected if they involved a cost-utility analysis of an intervention mainly or jointly targeting informal carers. The reporting quality of economic analyses was evaluated using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.

RESULTS

An initial set of 1364 potentially relevant studies was identified. The titles and the abstracts were then screened, resulting in the identification of 62 full-text articles that warranted further assessment of their eligibility. Of these, 20 economic evaluations of informal carer interventions met the inclusion criteria. The main geographical area was the UK (n = 11). These studies were conducted in mental and/or behavioural (n = 15), cardiovascular (n = 3) or cancer (n = 2) clinical fields. These cost-utility analyses were based on randomized clinical trials (n = 16) and on observational studies (n = 4), of which only one presented a Markov model-based economic evaluation. Four of the six psychological interventions were deemed to be cost effective versus two of the four education/support interventions, and four of the nine training/support interventions. Two articles achieved a CHEERS score of 100% and nine of the economic evaluations achieved a score of 85% in terms of the CHEERS criteria for high-quality economic studies.

CONCLUSIONS

Our critical review highlights the lack of cost-utility analyses of interventions to support informal carers. However, it also shows the relative prominence of good reporting practices in these analyses that other studies might be able to build on.

Burden and Gender inequalities around Informal Care

OBJECTIVES

This work comes from the interest and need to understand the problems arising from the activity of caring for dependent people, in the world and particularly in the European region. Altogether, it seeks to understand the consequences of informal care on the caregiver adding to the debate a gender perspective. Through a multidisciplinary bibliographic review, the current care crisis becomes clear. The demographic and socio-cultural changes in recent years are causing dependency to increase dramatically, while putting at risk the availability of informal caregivers. Several studies have shown that women are the ones on whom the burden of care mainly falls. Therefore, under the gender perspective, it becomes clear that the consequences of caregiver burden increase gender inequalities worldwide. The study analyzes the current situation and underlines the need to promote alternatives and opportunities so that care is shared and does not fall only on the female gender. Solutions need to be included in public and community health interventions and policies, and to this respect, nurses play an important role in changing the care paradigm.

The burden of informal caregiving in Hungary, Poland and Slovenia: results from national representative surveys

BACKGROUND

We aimed to investigate the burden of informal care in Hungary (HU), Poland (PL) and Slovenia (SI).

METHODS

A cross-sectional online survey was performed involving representative samples of 1000 respondents per country. Caregiving situations were explored; health status of informal caregivers/care recipients and care-related quality of life were assessed using the EQ-5D-5L and CarerQol-7D.

RESULTS

The proportion of caregivers was (HU/PL/SI) 14.9, 15.0 and 9.6%, respectively. Their mean age was 56.1, 45.6 and 48.0, and the average time spent on informal care was 27.6, 35.5 and 28.8 h/week. Chronic care was dominant (> 1 year: 78.5%, 72.0%, 74.0%) and care recipients were mainly (own/in-law) parents. Average EQ-5D-5L scores of care recipients were 0.53, 0.49 and 0.52. For Poland and Slovenia, EQ-5D-5L scores of informal care providers were significantly lower than of other respondents. Average CarerQol-7D scores were (HU/PL/SI) 76.0, 69.6 and 70.9, and CarerQol-VAS was 6.8, 6.4 and 6.6, respectively. Overall, 89, 87, and 84% of caregivers felt some or a lot fulfilment related to caring. Problems with combining tasks with daily activities were most important in Hungary and Slovenia. Women had a higher probability of being a caregiver in Hungary. CarerQol-7D scores were significantly associated with caregivers' EQ-5D-5L scores. In Hungary and Poland, living in a larger household was positively, while caring for patients with mental health problems was negatively associated with CarerQol-7D scores.

CONCLUSIONS

These first results from the Central and Eastern European region using preference-based measures for the evaluation of informal care can serve as a valuable input for health economic analyses.