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Communicate Heal-th: A Virtual Reality training tool for optimizing expectancy effects in patient-provider interaction

Project description

Healthcare-patient communication improved for better expectations and treatment outcomes

Studies have shown that positive patient expectations are important to optimise treatment success. Simply put, a positive attitude improves treatment outcome. This phenomenon has been investigated in clinical practice, but these interventions have only targeted the patients. The EU-funded COMMUNICATE-HEAL-TH project will focus on the healthcare provider’s relationship with the patient, and effective communication. Specifically, it will develop a virtual reality-based training tool to teach healthcare professionals to optimise the expectations of their patients. The tool will be brought to the pre-demonstration phase by a team of experts in expectancy effects on health and eHealth intervention development.

Objective

As shown in the EXPECT-HEALTH project (617700), positive treatment expectations lead to improved health outcomes, while negative expectations have the opposite effect. To make use of this phenomenon in clinical practice, interventions have been developed to improve treatment expectations in patients, but these thus far only target the patient. A novel application would be to instead train healthcare professionals to optimize the expectations of their patients. This allows a much bigger audience to be reached with less investment. To make the training as efficient and effective as possible, state-of-the-art technological means must be used. We therefore propose an innovative virtual reality-based training tool for healthcare professionals, that will teach them to optimize expectations in their patients. In this project, the virtual training tool will be developed and brought to the pre-demonstration phase by a team of experts in expectancy effects on health and eHealth intervention development.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Host institution

UNIVERSITEIT LEIDEN
Net EU contribution
€ 150 000,00
Address
RAPENBURG 70
2311 EZ Leiden
Netherlands

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Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Beneficiaries (1)

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