Yang L, Zhang Q, Wang DH, Zhou Q. Exploration of doctor-patient communication characteristics and optimization path for gastrointestinal surgery of acute abdomen. World J Gastrointest Surg 2025; 17(8): 106245 [DOI: 10.4240/wjgs.v17.i8.106245]
Corresponding Author of This Article
Qing Zhou, PhD, Doctor, Department of Education and Training, The Affiliated Hospital of Nantong University, Xinchengqiao Street, Chongchuan District, Nantong 226001, Jiangsu Province, China. zhq117@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Surg. Aug 27, 2025; 17(8): 106245 Published online Aug 27, 2025. doi: 10.4240/wjgs.v17.i8.106245
Exploration of doctor-patient communication characteristics and optimization path for gastrointestinal surgery of acute abdomen
Lun Yang, Qi Zhang, Dong-Hao Wang, Qing Zhou
Lun Yang, Department of Education and Training, The Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China
Qi Zhang, Department of Rehabilitation Medicine Center, The Affiliated Hospital of Nantong University, Nursing and Rehabilitation School of Nantong University, Nantong 226001, Jiangsu Province, China
Dong-Hao Wang, Department of Neurology, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin 214400, Jiangsu Province, China
Qing Zhou, Department of Education and Training, The Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
Author contributions: Yang L designed the study; Zhang Q, Wang DH, and Zhou Q contributed to the analysis of the manuscript; Yang L, Zhang Q, and Wang DH were involved in the data collection and writing of this article; All the authors have read and approved the final manuscript.
Supported by the Graduate Research and Practice Innovation Program of Jiangsu Province, No. KYCX233374.
Institutional review board statement: This study was reviewed and approved by the Institutional Review Board of the Affiliated Hospital of Nantong University, Medical School of Nantong University (No. 2025-K045-01).
Informed consent statement: All study participants and their legal guardians provided written informed consent before recruitment.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: No additional data are available.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Qing Zhou, PhD, Doctor, Department of Education and Training, The Affiliated Hospital of Nantong University, Xinchengqiao Street, Chongchuan District, Nantong 226001, Jiangsu Province, China. zhq117@163.com
Received: May 9, 2025 Revised: May 29, 2025 Accepted: June 20, 2025 Published online: August 27, 2025 Processing time: 108 Days and 4.7 Hours
Abstract
BACKGROUND
Gastrointestinal surgical acute abdomen conditions. These conditions not only cause significant suffering to patients but also increase psychological stress for both patients and their families.
AIM
To investigate communication characteristics in gastrointestinal surgical acute abdomen cases (such as appendicitis and pancreatitis) and explore optimization pathways.
METHODS
Eighty-two patients with gastrointestinal surgical acute abdomen (including appendicitis and pancreatitis) admitted to the hospital between November 2022 and June 2024 were selected. Physician-patient communication characteristics were analyzed. Patients were randomly divided into two groups (41 each) using a random draw method. The control group received conventional physician-patient communication. The observation group received an optimized communication model based on the conventional method. The two groups were compared for treatment efficacy and outcomes, psychological status, coping strategies, sleep quality, and compliance.
RESULTS
Significant differences were observed between the two groups in terms of time to ambulation and duration of hospital stay (P < 0.05), whereas hospitalization costs were not significantly different (P > 0.05). After the intervention, the psychological status scale scores in both groups decreased significantly (P < 0.05), with significant differences between the groups (P < 0.05). Following the intervention, the facing subscale scores of the medical coping questionnaire increased, while the avoidance and submission subscale scores decreased (P < 0.05), with significant differences between the groups (P < 0.05). The observation group had lower scores on the sleep quality scale (P < 0.05). The compliance rate was higher in the observation group (97.56% vs 80.49%, P < 0.05).
CONCLUSION
Physician-patient communication presented contradictions between professionalism and laymen’s expression and rigid communication methods. Optimizing communication models can improve sleep quality, coping strategies, patient compliance, and treatment outcomes and reduce negative emotions.
Core Tip: Effective physician-patient communication is crucial for patients with a gastrointestinal surgical acute abdomen. Treatment efficiency and outcomes can be improved by analyzing communication characteristics and optimizing the existing model.
