Article
Patient preferences for robotic and assistance technologies in healthcare: a discrete choice experiment
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Authors
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Ann-Kathrin Fischer
- Neubrandenburg, Deutschland
| Published: | September 27, 2021 |
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Outline
Text
Background: The increasing need for rehabilitative services, together with the shortage of professionals and rising costs, leads to the need for new healthcare solutions [1], [2]. As part of the digital transformation and with the introduction of robotic and assistance systems, the problem should be reduced [3], [4]. In healthcare, there are more and more new technologies that patients are confronted with [5], [6], [7].
Question and objective: Analysis of patient preferences and acceptance criteria is necessary because there is little consensus on whether and how patients accept digital therapy [8]. People accept something by weighing positive and negative attributes and making trade-offs or compromises [1], [2]. To evaluate acceptability, we need to know how trade-offs are situated and which features are preferred by patients. The following research question arises: When do patients accept a therapy with a digital robotic or assistance system or with a digital technology?
Method: Based on a systematic literature review, the qualitative portion of the study consists of a series of patient interviews. Results from the interviews have led to a selection of therapy attributes that will be incorporated into a quantitative evaluation of relative attribute importance through a discrete choice experiment (DCE) or best-worst scaling (BWS).
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