Comparison of preferences for end-of-life care among patients with advanced cancer and their caregivers: A discrete choice experiment

Malhotra, Chetna; Farooqui, Muhammad Assad; Kanesvaran, Ravindran; Bilger, Marcel; Finkelstein, Eric A.

doi:10.1177/0269216315578803

Cited by 77 publications

(77 citation statements)

References 60 publications

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“…Previous patient preference studies in oncology have generally assessed trade‐offs over a wider range of attributes, including aspects such as route of administration , cost of treatment , and length of therapy‐free intervals . While all of these attributes are likely to be important considerations in the setting of shared decision‐making, whereby patients and health care professionals decide together the best course of action, one should strike a balance between number of attributes and total length of the survey.…”

Section: Discussionmentioning

confidence: 99%

Individual Trade-Offs Between Possible Benefits and Risks of Cancer Treatments: Results from a Stated Preference Study with Patients with Multiple Myeloma

Postmus

Richard

Bere³

et al. 2017

The Oncologist

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Section: Discussionmentioning

confidence: 99%

Individual Trade-Offs Between Possible Benefits and Risks of Cancer Treatments: Results from a Stated Preference Study with Patients with Multiple Myeloma

Postmus

Richard

Bere³

et al. 2017

The Oncologist

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“…of life is currently being tested, but previous successful discrete choice experiments amongst end of life patients (Douglas, Normand, Higginson, & Goodwin, 2005;Finkelstein, Bilger, Flynn, & Malhotra, 2015;Malhotra, Farooqui, Kanesvaran, Bilger, & Finkelstein, 2015;Morton et al, 2012) give grounds for optimism that this research will be possible to conduct.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Values for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluation at end of life

Huynh

Coast

Rose

et al. 2017

Social Science & Medicine

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End of life care may have elements of value that go beyond health. A generic measure of the benefits of end of life care could be helpful to decision makers. Such a measure, based on the capability approach, has recently been developed: the ICECAP Supportive Care Measure. This paper reports the first valuation exercise for that measure, with data from 6020 individuals collected from an on-line general population panel during June 2013. Individuals were asked to complete a stated choice experiment that combined best-worst scaling and a standard discrete choice experiment. Analysis of the best-worst data used limited dependent variable models within the random utility framework including the multinomial logit models and latent class choice model analysis. Exploratory steps were taken to determine the similarity of the best-worst and DCE data before formal testing and pooling of the two data sources. Combined data were analysed in a heteroscedastic conditional logit model adjusting for continuous scale. Two sets of tariffs were generated, one from the best-worst data capturing only main effects, and a second from the pooled data allowing for two-way interactions. Either tariff could be used in economic evaluation of interventions at the end of life, although there are advantages and disadvantages with each. This extensive valuation exercise for the ICECAP Supportive Care Measure, with a large number of members of the general public, could be complemented in the future with best-worst scaling studies amongst those experiencing the end of life.

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“…Furthermore, differences could be due to the populations studied, either caregivers or non-caregivers (e.g. [47]), and their actual experience with caregiving tasks.…”

Section: Discussionmentioning

confidence: 99%

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

2018

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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.

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Comparison of preferences for end-of-life care among patients with advanced cancer and their caregivers: A discrete choice experiment

Cited by 77 publications

References 60 publications

Individual Trade-Offs Between Possible Benefits and Risks of Cancer Treatments: Results from a Stated Preference Study with Patients with Multiple Myeloma

Individual Trade-Offs Between Possible Benefits and Risks of Cancer Treatments: Results from a Stated Preference Study with Patients with Multiple Myeloma

Values for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluation at end of life

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

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