Jie Wang, HaoFen Xie, Hong Zhu, Yue Hu, Shanshan Mi, Wang Ying, QinHong Xu, Liang Yang
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引用次数: 0
Abstract
Purpose: To investigate the impact of implementing a pre-hospitalization optimization strategy on the length of stay and hospital costs for patients undergoing gallbladder surgery at a tertiary hospital, this study aims to analyze patient characteristics relevant to pre-hospitalization gallbladder surgery, focusing on age and underlying medical conditions.
Method: The data from patients who underwent the pre-hospitalization optimization strategy were analyzed and compared with that of patients receiving standard hospitalization to determine whether there were statistically significant differences in duration of stay and associated costs.
Results: Under the optimal management strategy for pre-hospitalization, we analyzed the hospitalization of patients with and without underlying diseases, specifically comparing those aged over 65 years to those under 65 years, against a cohort of general hospitalized patients. The results indicated a significant reduction in preoperative preparation time, postoperative recovery time, total hospitalization days, and hospitalization costs (P < 0.05). Notably, pre-hospitalized patients under 65 years exhibited a significant decrease in postoperative recovery time and total hospitalization days compared to general hospitalized patients (P < 0.05), while the difference in preoperative preparation time was not statistically significant (P > 0.05).
Conclusion: The pre-hospitalization optimization strategy management model can significantly reduce the duration of hospital stays and medical costs for gallbladder surgery patients. This model is advocated for all patients, irrespective of whether they are aged 65 or above, or below 65.
期刊介绍:
BMC Gastroenterology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of gastrointestinal and hepatobiliary disorders, as well as related molecular genetics, pathophysiology, and epidemiology.