1.Clinical Research On Fast Track Surgery in Neurosurgery
Chaoyue LI ; Liming ZHAO ; Yue LOU ; Xiwen SHI ; Jiadong ZHANG ; Zhiqiang REN ; Longxiang MA
Chinese Journal of Nervous and Mental Diseases 2014;(10):620-623
Objective To investigate the feasibility and effectiveness of fast track surgery (FTS) in neurosurgery. Methods One hundred fifteen patients who underwent neurosurgery surgery in Henan Province People's Hospital from June 2012 to March 2014 were enrolled in this study. All the patients were divided into FTS group (62 cases) and the tra?ditional operation group (53 cases). The clinical index, postoperative hospital stay and hospitalization cost were compared between the two groups. Results The clinical index were significantly lower in FTS group than in traditional operation group (P<0.05). Length of hospital stay (days) and hospitalization cost of FTS group were significantly shorter and lower in FTS group compared with traditonal operation group (8±1 vs. 11±2 days and RMB 4.58 ±0.75 vs. 5.78 ±0.64 ten thou?sand, respectively) (P<0.05). Conclusion FTS in neurosurgery operation is an all-new concept for surgery which can ef?fectively reduce postoperative complications, shorten length of hospital stay, decrease hospitalization cost and promote postoperative recovery.
2.Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data from 2015 to 2020.
Longxiang SU ; Xudong MA ; Sifa GAO ; Zhi YIN ; Yujie CHEN ; Wenhu WANG ; Huaiwu HE ; Wei DU ; Yaoda HU ; Dandan MA ; Feng ZHANG ; Wen ZHU ; Xiaoyang MENG ; Guoqiang SUN ; Lian MA ; Huizhen JIANG ; Guangliang SHAN ; Dawei LIU ; Xiang ZHOU
Frontiers of Medicine 2023;17(4):675-684
This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans
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China/epidemiology*
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Cross Infection/epidemiology*
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Intensive Care Units/statistics & numerical data*
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Quality Control
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Quality Indicators, Health Care/statistics & numerical data*
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Sepsis/therapy*
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East Asian People/statistics & numerical data*