Cocreation of Assistive Technologies for Patients With Long COVID: Qualitative Analysis of a Literature Review on the Challenges of Patient Involvement in Health and Nursing Sciences.

Autor: Dalko K; Dorothea Erxleben Lernzentrum, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Kraft B; Institute for History and Ethics of Medicine, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.; Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Jahn P; Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Schildmann J; Institute for History and Ethics of Medicine, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Hofstetter S; Dorothea Erxleben Lernzentrum, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.; Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Jazyk: angličtina
Zdroj: Journal of medical Internet research [J Med Internet Res] 2023 Aug 15; Vol. 25, pp. e46297. Date of Electronic Publication: 2023 Aug 15.
DOI: 10.2196/46297
Abstrakt: Background: Digital assistive technologies have the potential to address the pressing need for adequate therapy options for patients with long COVID (also known as post-COVID-19 condition) by enabling the implementation of individual and independent rehabilitation programs. However, the involvement of the target patient group is necessary to develop digital devices that are closely aligned to the needs of this particular patient group.
Objective: Participatory design approaches, such as cocreation, may be a solution for achieving usability and user acceptance. However, there are currently no set methods for implementing cocreative development processes incorporating patients. This study addresses the following research questions: what are the tasks and challenges associated with the involvement of patient groups? What lessons can be learned regarding the adequate involvement of patients with long COVID?
Methods: First, a literature review based on a 3-stage snowball process was conducted to identify the tasks and challenges emerging in the context of the cocreation of digital assistive devices and services with patient groups. Second, a qualitative analysis was conducted in an attempt to extract relevant findings and criteria from the identified studies. Third, using the method of theory adaptation, this paper presents recommendations for the further development of the existing concepts of cocreation in relation to patients with long COVID.
Results: The challenges of an active involvement of patients in cocreative development in health care include hierarchical barriers and differences in the levels of specific knowledge between professionals and patients. In the case of long COVID, patients themselves are still inexperienced in dealing with their symptoms and are hardly organized into established groups. This amplifies general hurdles and leads to questions of group identity, power structure, and knowledge creation, which are not sufficiently addressed by the current methods of cocreation.
Conclusions: The adaptation of transdisciplinary methods to cocreative development approaches focusing on collaborative and inclusive communication can address the recurring challenges of actively integrating patients with long COVID into development processes.
(©Katharina Dalko, Bernhard Kraft, Patrick Jahn, Jan Schildmann, Sebastian Hofstetter. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.08.2023.)
Databáze: MEDLINE