Matching and weighting in stated preferences for health care

Vass, Caroline; Boeri, Marco; Poulos, Christine; Turner, Alexander

doi:10.1016/j.jocm.2022.100367

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…We will also explore the use of matching algorithms to assess preference robustness from the addition of a cost vector (eg, payment via income tax) to net zero plans. 46 Where possible, we will explore the use of hybrid choice models to include the effect of attitudinal responses as indicators of latent variables. 47 The choice of the final model will be determined based on a combination of robustness tests, measures of fit (eg, log-likelihood and Akaike and Bayesian Information Criteria) and conversations with the Stakeholder Advisory Group (see below) on which best conveys potential policy implications.…”

Section: Discussionmentioning

confidence: 99%

Public preferences and willingness to pay for a net zero NHS: a protocol for a discrete choice experiment in England and Scotland

Loría-Rebolledo,

Abbott,

Antunes

et al. 2024

BMJ Open

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IntroductionClimate change poses a major threat to our health, livelihoods and the planet. In 2020, the UK National Health Service (NHS) committed to reducing its Scope 1, 2 and 3 emissions to reach net zero by 2045. Although a net zero NHS would help to limit the consequences of climate change, little is known about the UK general public’s values and preferences for the proposed service changes needed to reach net zero.MethodsThis study will elicit the public’s preferences for actions to help achieve net zero NHS in England and Scotland using a discrete choice experiment (DCE). The DCE attributes and levels describe actions that can be taken by the NHS across key areas: buildings and estates, outdoor space, travel and transport, provision of care, goods and services and food and catering. The survey was designed using online think-aloud interviews with 17 members of the public. Two versions of the survey will be administered to a sample of up to 2200 respondents. One will include a payment vehicle as income tax increases. We will estimate the relative importance of each attribute and, for the former survey, the monetary trade-offs which individuals are willing to make between attributes. Where possible, we will match both samples to gauge preference robustness with the inclusion of the monetary payment. We will test whether respondents’ preferences differ based on their socioeconomic circumstances and attitudes toward the NHS and climate change.Ethics and disseminationThe University of Aberdeen’s School of Medicine, Medical Sciences and Nutrition Ethics Research Board has approved the study (reference: SERB/690090). All participants will provide informed consent. Results will be submitted to peer-reviewed publications and presented at relevant conferences and seminars. A lay summary of the research will be published on the Health Economics Research Unit website.

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Section: Discussionmentioning

confidence: 99%