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ZENODO
Conference object . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2022
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2022
License: CC BY
Data sources: Datacite
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Patient experiences library

Authors: Turk, Eva; Jevtic, Marija;

Patient experiences library

Abstract

Patients trust doctors with their health. But how doctors communicate with the patients and how patients feel when at the “doctors office” impacts the patient journey in different ways. With our ongoing project, we are aiming to provide platform of a video library of stories and experiences in the ”doctors’ office”, designed to empower both patients and health professionals and to enable experience-based knowledge. Method As a first step towards developing the video library, we asked individuals on Social Media to share 3 words when thinking about their medical consultation. Based on the social media campaign, we developed a set of questions as an interview guide for interviews. Results The Social Media campaign provided us insights into the feelings of patients when being at the doctors office. The common words about how people across the world feel when visiting a doctor can be summarised into confused, frustrated, no shown empathy, anxious and intimidated. But also heard, relieved, supported. Conclusion The interactive library will allow patients from across the globe to search for interviews based on what their peers have been experiencing at that time, exploring stories and lessons shared by someone who has been in a similar situation. This will bring experience based learning and empowering the patients via other patient stories.

Keywords

Library, experience based learning, Video Recording, patient information

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green