Shared Decision-Making in Healthcare

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Nursing".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1045

Special Issue Editors


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Guest Editor
Institute for Management and Economics in Health Care, UMIT—University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria
Interests: health systems management; primary healthcare; behavioral sciences in health and healthcare; interprofessional collarboration; health promotion and prevention
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Guest Editor
Institute for Management and Economics in Healthcare, UMIT Tirol—Private University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria
Interests: medical rehabilitation; health management

Special Issue Information

Dear Colleagues, 

The COVID-19 outbreak has changed all societal domains, including health care services. The abrupt challenge for healthcare providers to manage a rise in COVID-19 cases and maintain essential healthcare services placed a heavy strain on healthcare professionals and also patients. Unfortunately, this situation is still going on. Since the coronavirus pandemic, the physical and psychological stresses have reached a new high. Work density is intensified by the increasing shortage of skilled workers.

Especially in times of stricter guidelines, the active participation of patients regarding treatment options should be encouraged and demanded. Shared decision making (SDM) shall not be forgotten during these challenging circumstances, as restrictive measures influence the relationship between patients and health professionals but also provide opportunities to foster a patient-centred approach, e.g., the transfer of SDM into virtual space. Papers dealing with behaviours and attitudes of health professionals and/or patients or considering psychosocial factors are particularly welcome.

The aim of this issue is to provide an updated overview on the current practice and importance of SDM in healthcare, addressing new and innovative topics, and on measures to be developed and implemented to promote patient participation in health care.

Prof. Dr. Harald Stummer
Dr. Valentina Mitgutsch
Guest Editors

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Keywords

  • COVID-19
  • participation
  • decision making
  • self-determination

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Published Papers (1 paper)

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12 pages, 1246 KiB  
Protocol
Factors Influencing the Participation of Shared Decision Making in Stable Coronary Artery Disease Patient: Protocol of a Mixed Methods Study
by Xiangxu Meng, Chengang Hong and Xingwei Zhang
Healthcare 2024, 12(18), 1883; https://doi.org/10.3390/healthcare12181883 - 20 Sep 2024
Viewed by 369
Abstract
Introduction: The “paternalistic decision-making model” is no longer well suited to the modern clinical environment, and therefore, shared decision making (SDM) has emerged as a key approach. Although the benefits of SDM have been largely reported, several studies have reported low participation in [...] Read more.
Introduction: The “paternalistic decision-making model” is no longer well suited to the modern clinical environment, and therefore, shared decision making (SDM) has emerged as a key approach. Although the benefits of SDM have been largely reported, several studies have reported low participation in SDM in coronary artery disease (CAD) patients. The theory of planned behavior (TPB) model is one of the most frequently employed theoretical frameworks for predicting human behaviors. According to the TPB, intention is influenced by attitude, subjective norm, and perceived behavioral control, while behavior is influenced by both intention and perceived behavioral control. Therefore, we propose a mixed methods study based on TPB to investigate the status of Chinese stable coronary artery disease (SCAD) patients’ participation in SDM, understand their experiences of SDM, and explore the factors that influence their participation in SDM. Materials and Methods: An explanatory sequential mixed methods design will be used to explore the study aims, including a quantitative phase, a subsequent qualitative phase, and the final integration study. The quantitative study will use convenient sampling from the Affiliated Hospital of Hangzhou Normal University to conduct a cross-sectional survey (n ≥ 252). The qualitative study will be sampled using the maximum difference sampling method from the quantitative study results, and then the data will be collected through semi-structured interviews (n = 10–20). This study will use descriptive statistics and test hypotheses while considering a p-value of <0.05, which will be considered statistically significant. Discussions: The study employs a mixed method approach with an explanatory sequential design, incorporating qualitative and quantitative methods to comprehensively understand the factors influencing SCAD patients’ participation in SDM. Furthermore, these findings can inform the design of future intervention studies and provide healthcare providers with targeted information and communication to help SCAD patients make the most appropriate decisions. Study participants will be recruited using convenience sampling from just one single clinical setting, which may limit the findings’ generalizability. Ethics and Dissemination: This study has been approved by the Ethical Committee of the School of Nursing, Hangzhou Normal University (Approval No.: 2024013). All the participants will sign an informed consent form before participating in the survey. The corresponding results and conclusions will be disseminated in journals and conferences after the completion of the study. Full article
(This article belongs to the Special Issue Shared Decision-Making in Healthcare)
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