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已发表论文
住院患者参与患者安全行为：一项定性研究中的决策类型学
Authors Wang C, Shi H, Du X, Peng Y, Xiao M, Zhao Q, Huang H
Received 5 May 2025
Accepted for publication 31 August 2025
Published 13 September 2025 Volume 2025:18 Pages 3029—3039
DOI https://doi.org/10.2147/RMHP.S538389
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Gulsum Kaya
Chunni Wang,1,2 Haoning Shi,1,2 Xingyao Du,1,2 Ying Peng,1,2 Mingzhao Xiao,1,2 Qinghua Zhao,1,2 Huanhuan Huang1,2
1Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Nursing Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
Correspondence: Qinghua Zhao, Email qh20063@163.com Huanhuan Huang, Email hxuehao@126.com
Background: Patient participation in safety behaviors has been recognized as a critical component of reducing medical errors and improving healthcare outcomes in hospitalized settings. However, there is currently a lack of research to understand the decision-making processes that drive these behaviors.
Purpose: This study aimed to identify and construct the different types of decision-making personas adopted by inpatients when thinking about participating in patient safety.
Methods: A qualitative phenomenological study was conducted at a tertiary hospital in Chongqing from October to December 2024. Inpatients meeting the inclusion and exclusion criteria were selected via purposive sampling, and semi-structured interviews were performed to explore their motivation, willingness, decision-making factors, decision-making balance, and effect evaluation during their participation in patient safety decision-making. Data were analyzed using Colaizzi’s seven-step method, facilitating the process from raw data to factual labeling and ultimately to the construction of personas dimensions. Patient characteristics were extracted and personas were constructed by artificial intelligence (AI), with the visualization of these personas achieved through a combination of character images and labels.
Results: This study developed four distinct personas that reflect the decision-making types of inpatients’ participation in patient safety, with the personas classifications as follows: self-driven decision-makers, passive collaborators, resource-limited decision avoiders, and self-assertive decision-makers.
Conclusion: The diversity of patients’ decision-making types necessitates targeted interventions, such as shared decision-making tools, simplified communication, community support provision, and trust reconstruction. Future research should also include longitudinal studies and cross-cultural validation.
Keywords: patients for patient safety, inpatients, persona, decision making, qualitative study
1Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Nursing Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
Correspondence: Qinghua Zhao, Email qh20063@163.com Huanhuan Huang, Email hxuehao@126.com
Background: Patient participation in safety behaviors has been recognized as a critical component of reducing medical errors and improving healthcare outcomes in hospitalized settings. However, there is currently a lack of research to understand the decision-making processes that drive these behaviors.
Purpose: This study aimed to identify and construct the different types of decision-making personas adopted by inpatients when thinking about participating in patient safety.
Methods: A qualitative phenomenological study was conducted at a tertiary hospital in Chongqing from October to December 2024. Inpatients meeting the inclusion and exclusion criteria were selected via purposive sampling, and semi-structured interviews were performed to explore their motivation, willingness, decision-making factors, decision-making balance, and effect evaluation during their participation in patient safety decision-making. Data were analyzed using Colaizzi’s seven-step method, facilitating the process from raw data to factual labeling and ultimately to the construction of personas dimensions. Patient characteristics were extracted and personas were constructed by artificial intelligence (AI), with the visualization of these personas achieved through a combination of character images and labels.
Results: This study developed four distinct personas that reflect the decision-making types of inpatients’ participation in patient safety, with the personas classifications as follows: self-driven decision-makers, passive collaborators, resource-limited decision avoiders, and self-assertive decision-makers.
Conclusion: The diversity of patients’ decision-making types necessitates targeted interventions, such as shared decision-making tools, simplified communication, community support provision, and trust reconstruction. Future research should also include longitudinal studies and cross-cultural validation.
Keywords: patients for patient safety, inpatients, persona, decision making, qualitative study