Summarizing Patient Preferences for the Competitive Landscape of Multiple Sclerosis Treatment Options

Objective. Quantitatively summarize patient preferences for European licensed relapsing-remitting multiple sclerosis (RRMS) disease-modifying treatment (DMT) options. Methods. To identify and summarize the most important RRMS DMT characteristics, a literature review, exploratory physician interviews, patient focus groups, and confirmatory physician interviews were conducted in Germany, the United Kingdom, and the Netherlands. A discrete choice experiment (DCE) was developed and executed to measure patient preferences for the most important DMT characteristics. The resulting DCE data (n=799 and n=363 respondents in the United Kingdom and Germany, respectively) were analyzed using Bayesian mixed logit models. The estimated individual-level patient preferences were subsequently summarized using 3 additional analyses: the quality of the choice data was assessed using individual-level R² estimates, individual-level preferences for the available DMTs were aggregated into DMT-specific preference shares, and a principal component analysis was performed to explain the patients' choice process. Results. DMT usage differed between RRMS patients in Germany and the United Kingdom but aggregate patient preferences were similar. Across countries, 42% of all patients preferred oral medications, 38% infusions, 16% injections, and 4% no DMT. The most often preferred DMT was natalizumab (26%) and oral DMT cladribine tablets (22%). The least often preferred were mitoxantrone and the beta-interferon injections (1%-3%). Patient preferences were strongly correlated with patients' MS disease duration and DMT experience, and differences in patient preferences could be summarized using 8 principle components that together explain 99% of the variation in patients' DMT preferences. Conclusion. This study summarizes patient preferences for the included DMTs, facilitates shared decision making along the dimensions that are relevant to RRMS patients, and introduces methods in the medical DCE literature that are ideally suited to summarize the impact of DMT introductions in preexisting treatment landscapes.

Views of older people in the Netherlands on wellbeing: A Q-methodology study

Population ageing and restricted budgets result in the need for an efficient allocation of scarce resources in care services for older people. As these services tend to address more than only health, diverse wellbeing measures have been developed to assess their benefits in economic evaluations. These measures are grounded in research on wellbeing of older people and its determinants. Little is known about possible heterogeneity in this context and the extent to which wellbeing measures cover the aspects of wellbeing that are most important to older people with different views on wellbeing. We conducted a Q-methodology study between December 2016 and October 2017 to investigate the variety in views among people aged 65 and older in the Netherlands on what is important to their wellbeing. A purposive sample of 53 respondents ranked 34 opinion statements according to importance to their wellbeing and explained their ranking during a follow-up interview. Data were analysed using by-person factor analysis to identify common patterns in the rankings of the statements. Five distinct views were extracted in which different aspects were considered important: (I) health, financial security and a life partner; (II) family, support and physical functioning (III); autonomy, mental health and helping others; (IV) social contacts, support, mental health and religion; and (V) a life partner, social contacts, living environment and adaptation. This heterogeneity in views of older people on what constitutes wellbeing supports the use of person-centered approaches in care services for older people. Arguably, (evaluations of) policies and services for older people should take this plurality into consideration.

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.

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).

[The conversation with the patient is essential for good pharmacotherapeutic care]

Frail elderly with polypharmacy are at greater risk of preventable medication-related health damage. To improve medication safety, the healthcare field prepared, in consultation with the Dutch Health Care Inspectorate, a number of guidelines and standards containing conditions for safe prescribing. According to these standards the active involvement of patients by health care professionals is essential for good pharmacotherapeutic care. However, two studies with patients show that there is still room for improvement. According to patients, they can be (even) better informed about changes in their medication. Also the caregivers could communicate more clearly who is the central contact point and who is ultimately responsible for the medication. Patients are not sufficiently informed on this. Furthermore, there is uncertainty about how and why medication reviews are performed. More explanation to patients about this is desirable. In addition, patients experience that keeping their medication list up to date and transferring medication data between health care providers could be improved. Finally, a group of patients welcomes the opportunity to co-decide on changes in their medication. In order to prescribe safely, it is crucial that caregivers actively involve patients in pharmacotherapeutic care and really enter into conversation with them about their medication.

Who is responsible for providing care? Investigating the role of care tasks and past experiences in a cross-sectional survey in the Netherlands

Background

Many countries face substitution from formal to informal care. It is essential that a sufficient number of caregivers, such as family, friends or neighbors, are willing and able to lend care to address the needs of ill or elderly persons. We investigated whether the general public, who might become caregivers in the future, and current informal caregivers align with the shift to more informal caregiving.

Methods

We studied the views on the responsibility for care of the general public versus the government, and whether these views differed among groups with diverse past experiences with care in terms of own health problems or previous caregiving activities. Data (n = 1097) was collected among the Dutch Health Care Consumer Panel with a survey in October 2015. Multivariate analyses of the views on responsibility for care in general and for different types of care were performed using (i) health, (ii) informal care, and (iii) general background characteristics, among a sample of the general public and among a subgroup of current caregivers.

Results

The majority (67%) of the respondents would be willing to provide informal care in the future, when necessary. Respondents were more willing to provide support tasks than personal or nursing care activities. Among current caregivers, views on responsibility for care were associated with their past experience. Experiencing less burden of caregiving was associated with perceiving the general public as more responsible for personal or nursing care.

Conclusions

The results of this study show that substitution from formal to informal care is more in line with public views when support activities are concerned than personal or nursing care. In addition, burdened caregivers also consider the government more responsible for personal or nursing care. When handing over care tasks to the public domain a critical view is needed on which care tasks are most appropriate for this.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-017-2435-5) contains supplementary material, which is available to authorized users.

Measuring Care-Related Quality of Life of Caregivers for Use in Economic Evaluations: CarerQol Tariffs for Australia, Germany, Sweden, UK, and US

BACKGROUND

Informal care is often not included in economic evaluations in healthcare, while the impact of caregiving can be relevant for cost-effectiveness recommendations from a societal perspective. The impact of informal care can be measured and valued with the CarerQol instrument, which measures the impact of informal care on seven important burden dimensions (CarerQol-7D) and values this in terms of general quality of life (CarerQol-VAS). The CarerQol can be included at the effect side of multi-criteria analyses of patient interventions or in cost-effectiveness or utility analysis of interventions targeted at caregivers.

OBJECTIVE

At present, utility scores based on relative utility weights for the CarerQol-7D are only available for the Netherlands. This study calculates CarerQol-7D tariffs for Australia, Germany, Sweden, UK, and US.

METHODS

Data were collected among the general population in Australia, Germany, Sweden, UK, and US by an Internet survey. Utility weights were collected with a discrete choice experiment with two unlabeled alternatives described in terms of the seven CarerQol-7D dimensions. An efficient experimental design with priors obtained from the Netherlands was used to create the choice sets. Data was analyzed with a panel mixed multinomial logit model with random parameters.

RESULTS

In all five countries, the CarerQol-7D dimensions were significantly associated with the utility of informal care situations. Physical health problems were most strongly associated with the utility for informal care situations. The tariff was constructed by adding up the relative utility weights per category of all CarerQol-7D dimensions for each country separately.

CONCLUSION

The CarerQol tariffs for Australia, Germany, Sweden, UK, and US facilitate the inclusion of informal care in economic evaluations.

Are some QALYs more equal than others?

Including societal preferences in allocation decisions is an important challenge for the health care sector. Here, we present results of a phased discrete choice experiment investigating the impact of various attributes on respondents' preferences for distribution of health and health care. In addition to the renowned equity principles severity of illness (operationalized as initial health) and fair innings (operationalized as age), some characteristics of beneficiaries (culpability and having dependents) and the disease (rarity) were included in the choice experiment. We used a nested logit model to analyse the data. We found that all selected attributes significantly influenced respondents' choices. The phased inclusion showed that additional attributes affected respondents' preferences for previously-included attributes and reduced unobserved variance. Although not all these attributes may be considered relevant for decision making from a normative perspective, including them in choice experiments contributes to our understanding of societal preferences for each single attribute.

How to include informal care in economic evaluations

Economic evaluations of health interventions aim to support decision making in healthcare. To effectively do so, evaluations need to include all relevant costs and effects of an intervention. Informal care provided by family or friends is an important element of care for many patients, but can have a profound impact on the health and well-being of carers. Therefore, informal care should be considered in economic evaluations of health interventions. Different methods to do so exist. This paper provides an overview of state-of-the-art methods available for this purpose, illustrated with practical examples. Since the choice of measurement and valuation technique depends on the type and perspective of the economic evaluation, this paper supports researchers in choosing the appropriate techniques to include informal care in their economic evaluation of a health intervention. We discuss the different approaches to measuring and valuing informal care, covering both partial and full valuation methods, allowing inclusion as costs or effects.

Measuring the impact of caregiving on informal carers: a construct validation study of the CarerQol instrument

Background

Informal caregivers provide a significant part of the total care needed by ill or disabled persons. Although informal care is often the preferred option of those who provide and those who receive informal care, caring can nevertheless be very straining. This study investigates construct validation of an instrument of the impact of caregiving, the CarerQol.

Methods

Data was collected among adult caregivers (n = 1,244) selected from the general population using an online questionnaire in October 2010, in the Netherlands. The CarerQol measures and values the impact of informal care. The CarerQol measures subjective burden (CarerQol-7D) and well-being (CarerQol-VAS). Construct validation comprised clinical, convergent and discriminative validity tests.

Results

Clinical validity was supported by statistically significant associations of CarerQol-VAS and caregivers’ health, income and employment status, care recipients’ health, and the relationship between caregiver and care recipient. Convergent validity was supported by positive associations of CarerQol-VAS with the two positive CarerQol-7D dimensions (fulfillment and support) and negative associations with the five negative CarerQol-7D dimensions (relational problems, mental health problems, problems combining daily activities, financial problems and physical health problems). Moreover, CarerQol-VAS was negatively associated with other instruments measuring caregiving burden.

Conclusions

Construct validity tests in a large, heterogeneous sample of caregivers show that the CarerQol validly measures the impact of caregiving. The CarerQol can be used in informal care research and economic evaluations of health care interventions. Hence, its use can facilitate informed decision making in health care.

A discrete choice experiment to obtain a tariff for valuing informal care situations measured with the CarerQol instrument

BACKGROUND / OBJECTIVE

Economic evaluations adopting a societal perspective need to include informal care whenever relevant. However, in practice, informal care is often neglected, because there are few validated instruments to measure and value informal care for inclusion in economic evaluations. The CarerQol, which is such an instrument, measures the impact of informal care on 7 important burden dimensions (CarerQol-7D) and values this in terms of general quality of life (CarerQol-VAS). The objective of the study was to calculate utility scores based on relative utility weights for the CarerQol-7D. These tariffs will facilitate inclusion of informal care in economic evaluations.

METHODS

The CarerQol-7D tariff was derived with a discrete choice experiment conducted as an Internet survey among the general adult population in the Netherlands (N = 992). The choice set contained 2 unlabeled alternatives described in terms of the 7 CarerQol-7D dimensions (level range: "no,""some," and "a lot"). An efficient experimental design with priors obtained from a pilot study (N = 104) was used. Data were analyzed with a panel mixed multinomial parameter model including main and interaction effects of the attributes.

RESULTS

The utility attached to informal care situations was significantly higher when this situation was more attractive in terms of fewer problems and more fulfillment or support. The interaction term between the CarerQol-7D dimensions physical health and mental health problems also significantly explained this utility. The tariff was constructed by adding up the relative utility weights per category of all CarerQol-7D dimensions and the interaction term.

CONCLUSIONS

We obtained a tariff providing standard utility scores for caring situations described with the CarerQol-7D. This facilitates the inclusion of informal care in economic evaluations.

Explaining ethnic differences in late antenatal care entry by predisposing, enabling and need factors in The Netherlands. The Generation R Study

Despite compulsory health insurance in Europe, ethnic differences in access to health care exist. The objective of this study is to investigate how ethnic differences between Dutch and non-Dutch women with respect to late entry into antenatal care provided by community midwifes can be explained by need, predisposing and enabling factors. Data were obtained from the Generation R Study. The Generation R Study is a multi-ethnic population-based prospective cohort study conducted in the city of Rotterdam. In total, 2,093 pregnant women with a Dutch, Moroccan, Turkish, Cape Verdean, Antillean, Surinamese Creole and Surinamese Hindustani background were included in this study. We examined whether ethnic differences in late antenatal care entry could be explained by need, predisposing and enabling factors. Subsequently, logistic regression analysis was used to assess the independent role of explanatory variables in the timing of antenatal care entry. The main outcome measure was late entry into antenatal care (gestational age at first visit after 14 weeks). With the exception of Surinamese-Hindustani women, the percentage of mothers entering antenatal care late was higher in all non-Dutch compared to Dutch mothers. We could explain differences between Turkish (OR = 0.95, CI: 0.57–1.58), Cape Verdean (OR = 1.65. CI: 0.96–2.82) and Dutch women. Other differences diminished but remained significant (Moroccan: OR = 1,74, CI: 1.07–2.85; Dutch Antillean OR 1.80, CI: 1.04–3.13). We found that non-Dutch mothers were more likely to enter antenatal care later than Dutch mothers. Because we are unable to explain fully the differences regarding Moroccan, Surinamese-Creole and Antillean women, future research should focus on differences between 1st and 2nd generation migrants, as well as on language barriers that may hinder access to adequate information about the Dutch obstetric system.

Sustained informal care: the feasibility, construct validity and test-retest reliability of the CarerQol-instrument to measure the impact of informal care in long-term care

OBJECTIVES

This study analyses feasibility, construct validity and test-retest reliability of the Care-related Quality of Life (CarerQol)-instrument among informal caregivers of long-term care (LTC) users. The CarerQol measures the impact of informal care by assessing happiness (CarerQol-VAS) and describing burden dimensions (CarerQol-7D).

METHODS

Data was gathered among informal caregivers of patients obtaining day care or living in a LTC facility in the Netherlands with two questionnaires sent with a two-week interval (n test = 108, n retest = 100). Percentages of missing values indicated feasibility of the CarerQol. Construct validity assessed the extent to which differences in background characteristics were reflected in happiness scores (CarerQol-VAS) with univariate and multivariate statistics. Additionally, construct validity was tested with assessing the correlation between the CarerQol and the Self-Rated Burden (SRB) scale. Percentages of complete agreement between CarerQol scores at test and retest, Cohen's kappa coefficients (κ value) and Intraclass Correlation Coefficients (ICCs) were used to assess reliability.

RESULTS

In this study, 3.7% was missing on the CarerQol. CarerQol-VAS was positively associated with caregivers' age and health, and negatively with SRB score. The percentage of complete agreement of CarerQol-VAS between the measure moments was 60% and between 76% and 96% for CarerQol-7D. κ value and ICC of CarerQol-VAS were 0.52 and 0.86, and ranged between 0.55 and 0.94 for CarerQol-7D.

CONCLUSION

The CarerQol measures the impact of informal care among carers of LTC users in a feasible, valid and reliable way.

A new test of the construct validity of the CarerQol instrument: measuring the impact of informal care giving

PURPOSE

Most economic evaluations of health care programmes do not consider the effects of informal care, while this could lead to suboptimal policy decisions. This study investigates the construct validity of the CarerQol instrument, which measures and values carer effects, in a new population of informal caregivers.

METHODS

A questionnaire was distributed by mail (n = 1,100, net response rate = 21%) to regional informal care support centers throughout the Netherlands. Two types of construct validity, i.e., convergent and clinical validity, have been analyzed. Convergent validity was assessed with Spearman's correlation coefficients and multivariate correlation between the burden dimensions (CarerQol-7D) and the valuation component (CarerQol-VAS) of the CarerQol. Additionally, convergent validity was analyzed with Spearman's correlation coefficients between the CarerQol and other measures of subjective caregiver burden (SRB, PU). Clinical validity was evaluated with multivariate correlation between CarerQol-VAS and CarerQol-7D, characteristics of caregivers, care recipients and care situation among the whole sample of caregivers and subgroups.

RESULTS

The positive (negative) dimensions of CarerQol-7D were positively (negatively) related to CarerQol-VAS, and almost all had moderate strength of convergent validity. CarerQol-VAS was positively associated with PU and negatively with SRB. The CarerQol-VAS reflects differences in important background characteristics of informal care: type of relationship, age of the care recipient and duration of care giving were associated with higher CarerQol-VAS scores. These results confirmed earlier tests of the construct validity of the CarerQol. Furthermore, the dimensions of CarerQol-7D significantly explained differences in CarerQol-VAS scores among subgroups of carers.

CONCLUSION

Notwithstanding the limitations of our study, such as the low response rate, this study shows that the CarerQol provides a valid means to measure carer effects for use in economic evaluations. Future research should derive a valuation set for the CarerQol and further address the instrument's content validity, sensitivity and reliability.