Preferred treatment outcome feedback modalities for mental health patients based on ROM-prediction models: A discreet-choice experiment.
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2020-08-31
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en
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Abstract
Aims: There is a shortage of understanding patients’ preferences and needs in the context of the
development of prognostic feedback tools. The aim of this study was to elicit patients’
preferences towards outcome feedback modalities of prognosis tools and to lay down
groundwork for future research and development of such tools.
Materials and methods: To elicit patients’ preference towards feedback modalities, a discrete choice experiment was conducted. Participants chose repetitively, within 12-13 choice-sets,
between two hypothetical feedback reports that varied in four feedback attributes: visualization,
outcome, predictors and advice. A multinomial logit model was fitted to the data to estimate
patients’ stated preferences for attribute-levels.
Results: Patients preferred specific feedback regarding the attributes predictors and advice over
generalized or no information. Patients reference towards the attribute outcome favoured the
statistical explanations in terms of probability and continuous over dichotomous. The addition of
complementing visual information appeared to be insignificant to respondents and weighted
considerably less in choice trade-off in comparison to the alternative feedback attributes.
Discussion: This study provides some clues on patients’ preferred comprehensiveness of
feedback outcome modalities from prognostic tools reports. It discusses and provides
suggestions for future endeavours towards patient-focused research and development of
prognostic feedback tools.
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Faculteit der Sociale Wetenschappen