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已发表论文
主动脉夹层患者决策延迟的关键因素解析：一项横断面研究
Authors Zhang J, Song Y, Jin S, Zhang R, Li L, Zhuang S
Received 12 August 2025
Accepted for publication 6 December 2025
Published 15 December 2025 Volume 2025:19 Pages 4077—4090
DOI https://doi.org/10.2147/PPA.S560036
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Dr Johnny Chen
Jiaqi Zhang,1,* Yuelin Song,1,* Shimei Jin,1 Ruiying Zhang,2 Lehan Li,1 Shumei Zhuang1
1School of Nursing, Tianjin Medical University, Tianjin, People’s Republic of China; 2Clinical School of Thoracic, Tianjin Medical University, Tianjin, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Shumei Zhuang, School of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, People’s Republic of China, Tel +86-13001378987, Email snshumei@126.com
Purpose: To determine the prevalence of patient decision delay in aortic dissection and identify its associated factors, representing the first application of the Self-Regulatory Model as a guiding theoretical framework.
Patients and Methods: A total of 386 patients with aortic dissection were enrolled in this single-center, cross-sectional study. Participants were recruited from the emergency department of a tertiary cardiovascular hospital in China, using a convenience sampling methodology. Data were collected using the Brief Illness Perception Questionnaire, the Perceived Barriers to Healthcare-Seeking Decision Scale, and the Social Support Rating Scale. Logistic regression analysis was performed to identify factors associated with patient decision delay.
Results: The prevalence of patient decision delay in this study was 67.88% (95% CI: 63.22% - 72.54%). Logistic regression analysis identified several potential factors associated with this delay, including education level, presence of bystanders at symptom onset, Stanford classification, and pain severity. Symptoms such as back pain, abdominal pain, profuse perspiration, and persistent unrelieved pain were also significant. Furthermore, perceived barriers and illness perception were found to be linked to decision delay.
Conclusion: Decision delay is a prevalent issue among aortic dissection patients, necessitating targeted interventions. The study confirms that patient decision delay is driven by clinical factors and, crucially, by modifiable factors within the Self-Regulatory Model, such as negative illness perceptions and heightened perceived barriers. Interventions targeting these cognitive and psychosocial barriers are imperative for improving outcomes.
Keywords: aortic dissection, patient decision delay, cardiovascular nursing, self-regulatory model
1School of Nursing, Tianjin Medical University, Tianjin, People’s Republic of China; 2Clinical School of Thoracic, Tianjin Medical University, Tianjin, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Shumei Zhuang, School of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, People’s Republic of China, Tel +86-13001378987, Email snshumei@126.com
Purpose: To determine the prevalence of patient decision delay in aortic dissection and identify its associated factors, representing the first application of the Self-Regulatory Model as a guiding theoretical framework.
Patients and Methods: A total of 386 patients with aortic dissection were enrolled in this single-center, cross-sectional study. Participants were recruited from the emergency department of a tertiary cardiovascular hospital in China, using a convenience sampling methodology. Data were collected using the Brief Illness Perception Questionnaire, the Perceived Barriers to Healthcare-Seeking Decision Scale, and the Social Support Rating Scale. Logistic regression analysis was performed to identify factors associated with patient decision delay.
Results: The prevalence of patient decision delay in this study was 67.88% (95% CI: 63.22% - 72.54%). Logistic regression analysis identified several potential factors associated with this delay, including education level, presence of bystanders at symptom onset, Stanford classification, and pain severity. Symptoms such as back pain, abdominal pain, profuse perspiration, and persistent unrelieved pain were also significant. Furthermore, perceived barriers and illness perception were found to be linked to decision delay.
Conclusion: Decision delay is a prevalent issue among aortic dissection patients, necessitating targeted interventions. The study confirms that patient decision delay is driven by clinical factors and, crucially, by modifiable factors within the Self-Regulatory Model, such as negative illness perceptions and heightened perceived barriers. Interventions targeting these cognitive and psychosocial barriers are imperative for improving outcomes.
Keywords: aortic dissection, patient decision delay, cardiovascular nursing, self-regulatory model