Reducing Extended Hospital Lengths of Stay

In the United States, the costs of health care have become a major burden for the health care system. In order to address this problem, the hospitals of Syracuse, New York, developed programs to provide subacute and complex care. The Subacute programs provided patient transportation services for dialysis and other types of care outside hospitals. They also developed programs for services such as intravenous therapy in nursing homes. The Complex Care Programs, such as intravenous therapy and mental health services, have provided alternatives to extended care in hospitals. During the past five years, utilization of these programs has varied, declining between 2019 and 2022, and then increasing between 2022 and 2024. The programs have avoided the need for 1530 - 2974 patient days in hospitals. The programs saved the Syracuse hospitals approximately $600 per inpatient day. This amounted to savings of $918,000 - $1,784,400 per year. These programs demonstrated how relatively small mechanisms can save large amounts of health care resources.

The impact of emergency department length of stay on the outcomes of trauma patients requiring hospitalization: a retrospective observational study

BACKGROUND: We aimed to explore the impact of the emergency department length of stay(EDLOS) on the outcome of trauma patients.METHODS: A retrospective study was conducted on all trauma patients requiring hospitalization between 2015 and 2019. Patients were categorized into 4 groups based on the EDLOS(<4 h, 4–12 h,12–24 h, and >24 h). Data were analyzed using Chi-square test(categorical variables), Student’s t-test(continuous variables), correlation coefficient, analysis of variance and multivariate logistic regression analysis for identifying predictors of short EDLOS and hospital mortality.RESULTS: The study involved 7,026 patients with a mean age of 32.1±15.6 years. Onefifth of patients had a short EDLOS(<4 h) and had higher level trauma team T1 activation(TTA-1), higher Injury Severity Score(ISS), higher shock index(SI), and more head injuries than the other groups(P=0.001). Patients with an EDLOS >24 h were older(P=0.001) and had more comorbidities(P=0.001) and fewer deaths(P=0.001). Multivariate regression analysis showed that the predictors of short EDLOS were female gender, GCS, SI, hemoglobin level, ISS, and blood transfusion. The predictors of mortality were TTA-1(odds ratio [OR]=4.081, 95%CI: 2.364–7.045), head injury(OR=3.920, 95%CI: 2.413–6.368), blood transfusion(OR=2.773, 95%CI: 1.668–4.609), SI(OR=2.132, 95%CI: 1.364–3.332), ISS(OR=1.077, 95%CI: 1.057–1.096), and age(OR=1.040, 95%CI: 1.026–1.054). CONCLUSIONS: Patients with shorter EDLOS had different baseline characteristics and hospital outcomes compared with patients with longer EDLOS. Patients with prolonged EDLOS had better outcomes;however, the burden of prolonged boarding in the ED needs further elaboration.

Correlation of serum albumin level on postoperative day 2 with hospital length of stay in patients undergoing emergency surgery for perforated peptic ulcer

BACKGROUND Perforated peptic ulcer(PPU)is a common emergency surgical condition and a significant cause of morbidity and mortality worldwide.While advances in surgical techniques have improved outcomes for patients with PPU,many factors still affect postoperative hospital stay and overall prognosis.One potential factor is the serum albumin(SA)level,a widely utilized marker of nutritional status that has been associated with length of stay and complications in various surgical procedures.AIM To clarify the correlation of SA level on postoperative day 2 with hospital length of stay(HLOS)in patients undergoing emergency surgery for perforated peptic ulcer(PPU).METHODS We retrospectively collected and analyzed clinical baseline data,including blood routine and SA levels,of patients who underwent emergency PPU surgery and postoperative treatment at the Lingnan Hospital,the Third Affiliated Hospital of Sun Yat-sen University between December 2012 and September 2021.Patients were grouped according to HLOS with 7 d as the cut-off value,and relevant indicators were analyzed using SPSS 26.0.RESULTS Of the 37 patients undergoing emergency surgery for PPU referred to our department,33 had gastric and 4 had duodenal ulcer perforation.The median HLOS was 10 d.There were 8 patients in the≤7-d group(median HLOS:7 d)and 29 patients in the>7-d group(median HLOS:10 d).The≤7-d group had markedly higher SA on postoperative day 2 than the>7-d group(37.7 g/L vs 32.6g/L;P<0.05).The SA level on postoperative day 2 was a protective factor for patients with HLOS>7 d(Odds ratio=0.629,P=0.015).The cut-off of SA on postoperative day 2 was 30.6g/L,with an area under the curve of 0.86 and a negative predictive value of 100%for the prediction of HLOS≤7 d.CONCLUSION The SA level on postoperative day 2 was associated with the HLOS in patients undergoing emergency surgery for PPU.The pre-and post-operative albumin levels should be monitored,and infusion of human SA should be considered in a timely manner.

Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients

BACKGROUND Geriatric hip fractures are one of the most common fractures in elderly individuals,and prolonged hospital stays increase the risk of death and complications.Machine learning(ML)has become prevalent in clinical data processing and predictive models.This study aims to develop ML models for predicting extended length of stay(eLOS)among geriatric patients with hip fractures and to identify the associated risk factors.AIM To develop ML models for predicting the eLOS among geriatric patients with hip fractures,identify associated risk factors,and compare the performance of each model.METHODS A retrospective study was conducted at a single orthopaedic trauma centre,enrolling all patients who underwent hip fracture surgery between January 2018 and December 2022.The study collected various patient characteristics,encompassing demographic data,general health status,injury-related data,laboratory examinations,surgery-related data,and length of stay.Features that exhibited significant differences in univariate analysis were integrated into the ML model establishment and subsequently cross-verified.The study compared the performance of the ML models and determined the risk factors for eLOS.RESULTS The study included 763 patients,with 380 experiencing eLOS.Among the models,the decision tree,random forest,and extreme Gradient Boosting models demonstrated the most robust performance.Notably,the artificial neural network model also exhibited impressive results.After cross-validation,the support vector machine and logistic regression models demonstrated superior performance.Predictors for eLOS included delayed surgery,D-dimer level,American Society of Anaesthesiologists(ASA)classification,type of surgery,and sex.CONCLUSION ML proved to be highly accurate in predicting the eLOS for geriatric patients with hip fractures.The identified key risk factors were delayed surgery,D-dimer level,ASA classification,type of surgery,and sex.This valuable information can aid clinicians in allocating resources more efficiently to meet patient demand effectively.

Concept Analysis: Emergency Department Crowding and Length of Stay before and after an Increase in Catchment Area

Several notable issues arise from overcrowding in an emergency department (ED) for both patients and staff. Longer wait times, higher ambulance diversion rates, longer stays, higher incidence of medical errors, higher rates of patient mortality, and greater harm to hospitals due to financial losses are some of these problems. Collaboration is crucial in the healthcare industry since it determines the team’s hourly performance in managing patient care. By using Walker and Avant’s (2011) concept analysis method, the author reviewed the literature to better understand ED crowding, to ensure that patients receive safe treatment in a timely manner, and to highlight best practices that can be identified through concept analysis and practice evaluations. In conducting this concept analysis, Walker and Avant’s framework was applied to examine the nature of the findings selected for the advancement of the concept. Everyone working in the ED, from those who determine policy to those on the front lines continually encounter new obstacles, but has little or no time to formulate fresh concepts or reconsider how ED treatment is provided. Overcrowding occurs when the number of patients requiring attention, awaiting transfer, or undergoing diagnosis and treatment exceeds the physical capacity of ED staff. If a clear plan is not in place to increase and improve services in proportion to a growing population, this situation will persist.

Comparison of Mortality, Length of Stay, and Hospitalization Costs of Hospitalized COVID-19 Patients with Cardiac and Non-Cardiac Disease

Background: The COVID-19 pandemic has presented unprecedented challenges to global healthcare systems. As the pandemic unfolded, it became evident that certain groups of individuals were at an elevated risk of experiencing severe disease outcomes. Among these high-risk groups, individuals with pre-existing cardiac conditions emerged as particularly vulnerable. Objective: This study aimed to investigate the relationship between the length of stay, mortality, and costs of COVID-19 patients with and without a history of cardiac disease. Design: This retrospective study was conducted in Jam Hospital in Tehran, Iran, from March 21, 2021, to March 21, 2022. All patients with laboratory-confirmed COVID-19 who were hospitalized during this period were included. Results: A total of 500 COVID-19 patients were hospitalized, with 31.6% having a history of cardiac disease and 68.4% without any cardiac disease. Patients with cardiac disease were significantly older (median [range] age, 69.35 [37 - 94] years) compared to non-cardiac patients (54.95 [13 - 97] years) (p Conclusion: Patients with cardiac disease who are hospitalized with COVID-19 have a higher mortality rate, longer hospital stays, greater disease severity, ICU admission, and higher costs. Therefore, improved prevention and management strategies are crucial for these patients.

Evaluation of the inclusive payment system based on the diagnosis procedure combination with respect to cataract operations in Japan------A comparison of lengths of hospital stay and medical payments among hospitals

Following the recommendations of a report submitted by the Central Social Insurance Medical Council concerning the 2002 revision of the Medical Service Fee Schedule, a new inclu-sive payment system, which is based on the Diagnosis Procedure Combination (DPC) sys-tem, was introduced in 82 special functioning hospitals in Japan, effective beginning in April 2003. Since April 2004, the system has been gradually extended to general hospitals that satisfy certain prerequisites. In this paper, the new inclusive payment system is analyzed. Data pertaining to 1,225 patients, who were hospital-ized for cataract diseases and underwent lens operations from July 2004 to September 2005, are used. The lengths of hospital stay and medical payments among hospitals are com-pared. Even after eliminating the influence of patient characteristics, there are large differ-ences among hospitals in average lengths of hospital stay and DPC-based inclusive pay-ments. The highest average inclusive payment is 3.5 times as high as the lowest payment. On the other hand, there are relatively small differ-ences in non-inclusive payments based on the conventional fee-for-service system—the larg-est deviation from the average of all hospitals is approximately 10%. Thus, although payments based on the DPC account for only one-third of the total medical payments for this disease, the major differences in medical payments among hospitals are caused by differences in their DPC-based inclusive payments. The results of the study strongly suggest that revisions of the payment system in Japan are necessary for the efficient use of medical resources in the future.

Evaluation of Length of Hospital Stay Joining Educational Programs for Type 2 Diabetes Mellitus Patients: Can We Control Medical Costs in Japan?

Diabetes has become a growing concern in Japan, both medically and financially. The medical cost of diabetes was estimated at 1215 billion yen for fiscal year 2011. We analyzed the length of stay (LOS) in a hospital for type 2 diabetes mellitus patients who participated in educational programs to determine factors affecting LOS. Data on 991 patients obtained from 28 Red Cross hospitals in 2008 were used. For the analysis, we used the Box-Cox transformation model and Hausman test. The results revealed that patients aged 75 years and above and those with comorbidities and complications were prone to longer LOS. The analysis also revealed significant differences in LOS across the hospitals, even after controlling for patient characteristics. Finally, we applied the least squares method to determine the effects of hospital and regional factors and revealed that patients’ LOS was affected by the region’s average LOS. Regional corporations and networks appeared to be important in improving educational programs.

Effect of dynamic light at the coronary care unit on the length of hospital stay and development of delirium： a retrospective cohort study

Background Disturbed circadian rhythm is a potential cause of delirium and is linked to disorganisation of the circadian rhythmicity. Dynamic light （DL） could reset the circadian rhythm by activation of the suprachiasmatic nucleus to prevent delirium. Evidence regarding the effects of light therapy is predominantly focused on psychiatric disorders and circadian rhythm sleep disorders. In this study, we investi- gated the effect of DL on the total hospital length of stay （LOS） and occurrence of delirium in patients admitted to the Coronary Care Unit （CCU）. Methods This was a retrospective cohort study. Patients older than 18 years, who were hospitalized longer than 12 h at the CCU and had a total hospital LOS for at least 24 h, were included. Patients were assigned to a room with DL （n = 369） or regular lighting condi- tions （n = 379）. DL was administered at the CCU by two ceiling-mounted light panels delivering light with a colour temperature between 2700 and 6500 degrees Kelvin. Reported outcome data were： total hospital LOS, delirium incidence, consultation of a geriatrician and the amount of prescripted antipsychotics. Results Between May 2015 and May 2016, data from 748 patients were collected. Baseline charac- teristics, including risk factors provoking delirium, were equal in both groups. Median total hospital LOS in the DL group was 100.5 （70.8-186.0） and 101.0 （73.0-176.4） h in the control group （P = 0.935）. The incidence of delirium in the DL and control group was 5.4% （20/369） and 5.0% （19/379）, respectively （P = 0.802）. No significant differences between the DL and control group were observed in secon- dary endpoints. Subgroup analysis based on age and CCU LOS also showed no differences. Conclusion Our study suggests exposure to DL as an early single approach does not result in a reduction of total hospital LOS or reduced incidence of delirium. When delirium was diagnosed, it was associated with poor hospital outcome.

Comparison of the Length of Stay and Medical Expenditures among Japanese Hospitals for Type 2 Diabetes Treatments: The Box-Cox Transformation Model under Heteroscedasticity

In this paper, we analyzed length of stay (LOS) in hospitals and medical expenditures for type 2 diabetes patients. LOS was analyzed by the power Box-Cox transformation model when variances differed among hospitals. We proposed a new test and consistent estimator. We rejected the ho-moscedasticity of variances among hospitals, and then analyzed the LOS of 12,666 type 2 diabetes patients hospitalized for regular medical treatments collected from 60 general hospitals in Japan. The variables found to affect LOS were age, number of comorbidities and complications, introduced by another hospital, one-week hospitalization, 2010 revision, specific-hospitalization-period (SHP), and principal diseases E11.5, E11.6 and E11.7. There were surprisingly large differences in ALOS among hospitals even after eliminating the influence of characteristics and conditions of patients. We then analyzed daily medical expenditure (DME) by the ordinary least squares methods. The variables that affected DME were LOS, number of comorbidities and complications, acute hospitalization, hospital’s own outpatient, season, introduced by another hospital, one-week hospitalization, 2010 revision, SHP, time trend, and principal diseases E11.2, E11.4 and E117. The DME did not decrease after the SHP. After eliminating the influences of characteristics and conditions of patients, the differences among hospitals were relatively small, 12% of the overall average. LOS is the main determinant of medical expenditures, and new incentives to reduce LOS are needed to control Japanese medical expenditures. Since at least 99% of patients require medical care after leaving the hospital, systems that take proper care of patients for long periods of time after hospitalization are absolutely necessary for efficient treatment of diabetes.

Incidence trends and predictors for cost and average lengths of stay in colorectal cancer surgery

AIM:To evaluate the changing trends and outcomes of colorectal cancer(CRC)surgery performed at a large single institution in Taiwan.METHODS:This study retrospectively analyzed 778patients who received colorectal cancer surgery at E-Da Hospital in Taiwan from 2004 to 2009.These patients were from health examination,inpatient or emergency settings.The following attributes were analyzed in patients who had undergone CRC surgical procedures:gender,age,source,surgical type,tumor number,tumor size,number of lymph node metastasis,pathologic differentiation,chemotherapy,distant metastases,tumor site,tumor stage,average hospitalization cost and average lengths of stay(ALOS).The odds ratio and95%confidence intervals were calculated to assess the relative rate of change.Regression models were employed to predict average hospitalization cost and ALOS.RESULTS:The study sample included 458(58.87%)males and 320(41.13%)females with a mean age of64.53 years(standard deviation,12.33 years;range,28-86 years).The principal patient source came from inpatient and emergency room(96.02%).The principal tumor sites were noted at the sigmoid colon(35.73%)and rectum(30.46%).Most patients exhibited a tumor stage of 2(37.28%)or 3(34.19%).The number of new CRC surgeries performed per 100000 persons was12.21 in 2004 and gradually increased to 17.89 in 2009,representing a change of 46.52%.During the same period,the average hospitalization cost and ALOS decreased from$5303 to$4062 and from 19.7 to 14.4 d,respectively.The following factors were associated with considerably decreased hospital resource utilization:age,source,surgical type,tumor size,tumor site,and tumor stage.CONCLUSION:These results can be generalized to patient populations elsewhere in Taiwan and to other countries with similar patient profiles.

Customized Prediction of Short Length of Stay Following Elective Cardiac Surgery in Elderly Patients Using a Genetic Algorithm

Objective: To develop a customized short LOS (gery, using local data and a computational feature selection algorithm. Design: Utilization of a machine learning algorithm in a prospectively collected STS database consisting of patients who received cardiac surgery between January 2002 and June 2011. Setting: Urban tertiary-care center. Participants: Geriatric patients aged 70 years or older at the time of cardiac surgery. Interventions: None. Measurements and Main Results: Predefined morbidity and mortality events were collected from the STS database. 23 clinically relevant predictors were investigated for short LOS prediction with a genetic algorithm (GenAlg) in 1426 patients. Due to the absence of an STS model for their particular surgery type, STS risk scores were unavailable for 771 patients. STS prediction achieved an AUC of 0.629 while the GenAlg achieved AUCs of 0.573 (in those with STS scores) and 0.691 (in those without STS scores). Among the patients with STS scores, the GenAlg features significantly associated with shorter LOS were absence of congestive heart failure (CHF) (OR = 0.59, p = 0.04), aortic valve procedure (OR = 1.54, p = 0.04), and shorter cross clamp time (OR = 0.99, p = 0.004). In those without STS prediction, short LOS was significantly correlated with younger age (OR = 0.93, p 0.001), absence of CHF (OR = 0.53, p = 0.007), no preoperative use of beta blockers (OR = 0.66, p = 0.03), and shorter cross clamp time (OR = 0.99, p 0.001). Conclusion: While the GenAlg-based models did not outperform STS prediction for patients with STS risk scores, our local-data-driven approach reliably predicted short LOS for cardiac surgery types that do not allow STS risk calculation. We advocate that each institution with sufficient observational data should build their own cardiac surgery risk models.

Did the Revision of the Japanese Medical Payment System Work Properly?—An Analysis of Averages and Variances of Length of Hospital Stay for Type 2 Diabetes Patients by Individual Hospital

We evaluated the effects of the 2010 revision of the medical payment system on the length of stay (LOS). In this analysis, we assessed not only the average length of stay (ALOS), but also variance of LOS at individual hospitals. We used a dataset of 18,641 type 2 diabetes patients collected from 51 general hospitals. The variables found to affect LOS were age, comorbidities, complications, acute hospitalization, introduced by other hospitals, winter, one-week hospitalization, specific hospitalization period, and principal diseases coded E11.5, E11.6 and E11.7. Although the effect was marginal, the 2010 revision did reduce ALOS, and the reduction was larger as ALOS became longer. On the other hand, we did not find that the variance of LOS within hospitals became smaller. The results of the study suggest that new incentives and assistance to hospitals to help them make efficient use of medical information are needed.

Language affects length of stay in emergency departments in Queensland public hospitals

BACKGROUND:A long length of stay(LOS) in the emergency department(ED) associated with overcrowding has been found to adversely affect the quality of ED care.The objective of this study is to determine whether patients who speak a language other than English at home have a longer LOS in EDs compared to those whose speak only English at home.METHODS:A secondary data analysis of a Queensland state-wide hospital EDs dataset(Emergency Department Information System) was conducted for the period,1 January 2008 to 31 December 2010.RESULTS:The interpreter requirement was the highest among Vietnamese speakers(23.1%)followed by Chinese(19.8%) and Arabic speakers(18.7%).There were significant differences in the distributions of the departure statuses among the language groups(Chi-squared=3236.88,P<0.001).Compared with English speakers,the Beta coefficient for the LOS in the EDs measured in minutes was among Vietnamese,26.3(95%Cl:22.1-30.5);Arabic,10.3(95%Cl:7.3-13.2);Spanish,9.4(95%CI:7.1-11.7);Chinese,8.6(95%Cl:2.6-14.6);Hindi,4.0(95%Cl:2.2-5.7);Italian,3.5(95%Cl:1.6-5.4);and German,2.7(95%Cl:1.0-4.4).The final regression model explained 17%of the variability in LOS.CONCLUSION:There is a close relationship between the language spoken at home and the LOS at EDs,indicating that language could be an important predictor of prolonged LOS in EDs and improving language services might reduce LOS and ease overcrowding in EDs in Queensland's public hospitals.

Point-of-care ultrasound versus radiology department pelvic ultrasound on emergency department length of stay

BACKGROUND: The study aimed to compare the time to overall length of stay(LOS) for patients who underwent point-of-care ultrasound(POCUS) versus radiology department ultrasound(RDUS).METHODS: This was a prospective study on a convenience sample of patients who required pelvic ultrasound imaging as part of their emergency department(ED) assessment.RESULTS: We enrolled a total of 194 patients who were on average 32 years-old. Ninety-eight(51%) patients were pregnant(<20 weeks). Time to completion of RDUS was 66 minutes longer than POCUS(95%CI 60–73, P<0.01). Patients randomized to the RDUS arm experienced a 120 minute longer ED length of stay(LOS)(95%CI 66–173, P<0.01)CONCLUSION: In patients who require pelvic ultrasound as part of their diagnostic evaluation, POCUS resulted in a signifi cant decrease in time to ultrasound and ED LOS.

Emergency Department Waiting Times and Determinants of Prolonged Length of Stay in a Botswana Referral Hospital

Introduction: Emergency medicine is a critical component of quality public health service. In fact length of stay and waiting times in the Emergency department are key indicators of quality. The aim of this study was to determine waiting times and determinants of prolonged length of stay (LOS) in the Princess Marina Hospital Emergency Department. Methods: This was a retrospective observational study. It was done at Princess Marina, a referral hospital in Gaborone, Botswana. Triage forms of patients who presented between 19/11/ 2018 and 18/12/2018 were reviewed. Data from patient files was used to determine time duration from triage to being reviewed by a doctor, time duration from review by emergency doctor to patients’ disposition and the time duration from patient’s triage to disposition (length of stay). Prolonged length of stay was defined as duration > 6 hours. Results: A total of 1052 files repre- senting patients seen over a 1-month period were reviewed. 72.5% of the patients had a prolonged length of stay. The median emergency doctor waiting time was 4.5 hours (IQR 1.6 - 8.3 hours) and the maximum was 27.1 hours. The median length of stay in the emergency department was 9.6 hours (IQR 5.8 - 14.6 hours) and the maximum was 45.9 hours. Patient’s age (AOR 1.01), mental status (AOR 0.61), admission to internal medicine service (AOR 5.12) and pediatrics admissions (AOR 0.11) were significant predictors of prolonged length of stay in the emergency department. Conclusion: Princess Marina Hospital emergency department waiting times and length of stay are long. Age, normal mental status and internal medicine admission were independent predictors of prolonged stay (>6 hours). Admission to the pediatrics service was associated with shorter length of stay. There is a need for interventions to address the long waiting times and length of stay. Interventions should particularly focus on the identified predictors.

The Correlation of Hospital Operational Efficiency and Average Length of Stay in China: A Study Based on Provincial Level Data

Objective: To measure the hospital operation efficiency, study the correlation between average length of stay and hospital operation efficiency, analyze the importance of shortening average length of stay to the improvement of the hospital operation efficiency and put forward relevant policy suggestion. Methods: Based on China provincial panel data from 2003 to 2012, the hospital operation efficiencies are calculated using Super Efficiency Data Envelopment Analysis model, and the correlation between average length of stay and hospital operation efficiency is tested using Spearman rank correlation coefficient test. Results: From 2003 to 2012, the average of national hospital operation efficiency was increasing slowly and the hospital operations were inefficient in most of the areas. The national hospital operation efficiency is negatively correlated to the average length of stay. Conclusion: Measures should be taken to set average length of stay in a scientific and reasonable way, improve social and economic benefits based on the improvement of efficiency.

Waiting Times and Length of Stay of Trauma Patients in a Botswana Referral Hospital Emergency Department

Background: Mortality and morbidity due to trauma are a significant public health challenge. There is paucity of data on the waiting times and length of stay (LOS) of trauma patients in emergency departments in Botswana. The aim of this study was to determine the Emergency Department (ED) waiting times and LOS of trauma patients at Princess Marina Hospital in Gaborone, Botswana. Methods: This was a retrospective medical records review of waiting times (time from triage to review by ED medical officer) and LOS (time from triage to disposition from the emergency department). The waiting times for the different assigned acuities were assessed against the South African Triage System (SATS) standards. All trauma patients seen from 19/11/2018 to 18/12/2018 were included in the study. Prolonged length of stay was defined as duration > 6 hours. Categorical data was summarized with frequencies while numeric data was summarized with medians and interquartile ranges. Results: A total of 187 trauma patients’ files were analyzed. Of these, 72 (38.5%) were females. The median waiting time was 3.8 hours and the maximum was 19.2 hours. The median length of stay (LOS) was 8.8 hours with a maximum of 37.2 hours. Only 53 (28.3%) of the participants had a LOS of less than 6 hours. None of the emergent patients were seen immediately. Only 5 (4.0%) of the very urgent patients were seen within the target of 10 minutes. Finally, only 10 (20.4%) of urgent patients were seen within the target time of 1 hour. Conclusion: The waiting times and length of stay in Princess Marina Hospital were mostly above the recommended standards. Urgent interventions are needed to reduce waiting times and length of stay for trauma patients. More studies are needed to explore the sources of delay and investigate possible solutions to this public health challenge.

The effect of intraoperative goal-directed fluid therapy in patients under anesthesia for gastrointestinal surgery

BACKGROUND Intraoperative fluid management is an important aspect of anesthesia mana-gement in gastrointestinal surgery.Intraoperative goal-directed fluid therapy(GDFT)is a method for optimizing a patient's physiological state by monitoring and regulating fluid input in real-time.AIM To evaluate the efficacy of intraoperative GDFT in patients under anesthesia for gastrointestinal surgery.METHODS This study utilized a retrospective comparative study design and included 60 patients who underwent gastrointestinal surgery at a hospital.The experimental group(GDFT group)and the control group,each comprising 30 patients,received intraoperative GDFT and traditional fluid management strategies,respectively.The effect of GDFT was evaluated by comparing postoperative recovery,com-plication rates,hospitalization time,and other indicators between the two patient groups.RESULTS Intraoperative blood loss in the experimental and control groups was 296.64±46.71 mL and 470.05±73.26 mL(P<0.001),and urine volume was 415.13±96.72 mL and 239.15±94.69 mL(P<0.001),respectively.The postoperative recovery time was 5.44±1.1 days for the experimental group compared to 7.59±1.45 days(P<0.001)for the control group.Hospitalization time for the experimental group was 10.87±2.36 days vs 13.65±3 days for the control group(P<0.001).The visual analogue scale scores of the experimental and control groups at 24 h and 48 h INTRODUCTION Gastrointestinal surgery is one of the most common procedures in the field of general surgery[1],involving the stomach,intestines,liver,pancreas,spleen,and other internal abdominal organs[2,3].With advancements in surgical technology and anesthesia methods,the safety and success rates of surgery have significantly improved[4,5].However,intraop-erative fluid management remains a critical challenge[6].Traditional fluid management strategies often rely on experience and basic physiological parameters,which may lead to excessive or insufficient fluid input,thereby affecting postoperative recovery and complication rates.Intraoperative goal-directed fluid therapy(GDFT)is an emerging fluid management strategy that dynamically adjusts fluid input volume by monitoring the patient's hemodynamic parameters in real-time to optimize the patient's physiological state[7,8].GDFT has shown superiority in many surgical fields;however,its application in gastrointestinal surgery requires further research and verification[9,10].The application of intraoperative GDFT in clinical settings has gradually increased in recent years[11,12].Studies have demonstrated that GDFT can optimize tissue perfusion and oxygenation by precisely controlling fluid input and reducing the occurrence of postoperative complications[13,14].For example,in cardiac and major vascular surgeries,GDFT significantly reduced the incidence of postoperative acute kidney injury and cardiovascular events[15,16].Similarly,in abdominal surgery,GDFT effectively reduced postoperative infections and expedited recovery[17].However,studies on the utilization of GDFT in gastrointestinal surgery are relatively limited and they are confounded by contradictory findings[18].Traditional fluid management strategies typically rely on estimating fluid input volume based on the patient's weight,preoperative status,and basic physiological parameters[19].However,this method lacks real-time dynamic adjustment,which may result in either insufficient or excessive fluid input,consequently affecting postoperative recovery.Insufficient fluid input can lead to hypovolemia and inadequate tissue perfusion,whereas excessive fluid input can cause tissue edema and postoperative complications,such as pulmonary edema and heart failure.GDFT involves dynamically adjusting fluid input volume by monitoring the patient's hemodynamic parameters in real-time,such as cardiac output,pulse pressure variability,and central venous pressure.Commonly used monitoring equipment include esophageal Doppler and pulse wave profile analyzers[20].These devices provide real-time hemo-dynamic data to assist anesthesiologists in tailoring fluid therapy to a patient's specific condition.Firstly,the patient's volume responsiveness is assessed by preloading fluid;secondly,fluid input volume is dynamically adjusted based on real-time monitoring data;finally,vasoactive and inotropic drugs are administered in combination to further optimize the patient’s hemodynamic status.Through personalized fluid management,GDFT can more accurately maintain intraop-erative hemodynamic stability and reduce complications[21].Gastrointestinal surgery involves procedures on multiple organs,often requiring prolonged operative times and extensive tissue trauma,which presents challenges for intraop-erative fluid management.Surgical procedures can lead to significant bleeding and fluid loss,requiring prompt and effective fluid replenishment.In addition,the slow recovery of gastrointestinal function after surgery and susceptibility to complications such as intestinal obstruction and delayed gastric emptying elevate the necessity for postoperative fluid management.

Cost analysis of radical resection of malignant breast tumors under the China Healthcare Security Diagnosis Related Groups payment system

BACKGROUND Breast cancer is one of the most common malignant tumors in women worldwide and poses a severe threat to their health.Therefore,this study examined patients who underwent breast cancer surgery,analyzed hospitalization costs and structure,and explored the impact of China Healthcare Security Diagnosis Related Groups(CHS-DRG)management on patient costs.It aimed to provide medical institutions with ways to reduce costs,optimize cost structures,reduce patient burden,and improve service efficiency.AIM To study the CHS-DRG payment system’s impact on breast cancer surgery costs.METHODS Using the CHS-DRG(version 1.1)grouping criteria,4073 patients,who underwent the radical resection of breast malignant tumors from January to December 2023,were included in the JA29 group;1028 patients were part of the CHS-DRG payment system,unlike the rest.Through an independent sample t-test,the length of hospital stay as well as total hospitalization,medicine and consumables,medical,nursing,medical technology,and management expenses were compared.Pearson’s correlation coefficient was used to test the cost correlation.RESULTS In terms of hospitalization expenses,patients in the CHS-DRG payment group had lower medical,nursing,and management expenses than those in the diagnosis-related group(DRG)non-payment group.For patients in the DRG payment group,the factors affecting the total hospitalization cost,in descending order of relevance,were medicine and consumable costs,consumable costs,medicine costs,medical costs,medical technology costs,management costs,nursing costs,and length of hospital stay.For patients in the DRG nonpayment group,the factors affecting the total hospitalization expenses in descending order of relevance were medicines and consumable expenses,consumable expenses,medical technology expenses,the cost of medicines,medical expenses,nursing expenses,length of hospital stay,and management expenses.CONCLUSION The CHS-DRG system can help control and reduce unnecessary medical expenses by controlling medicine costs,medical consumable costs,and the length of hospital stay while ensuring medical safety.