scholarly journals Casemix and rehabilitation: evaluation of an early discharge scheme

2000 ◽  
Vol 23 (3) ◽  
pp. 154 ◽  
Author(s):  
Susan Brandis
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Early Discharge ◽  
Rehabilitation Program ◽  
Hospital Inpatient ◽  
Average Length Of Stay ◽  
Carer Support ◽  
Hospital Inpatient Care ◽  
High Level

This paper presents a case study of an early discharge scheme funded by casemix incentives and discusses limitationsof a casemix model of funding whereby hospital inpatient care is funded separately from care in other settings. ThePOSITIVE Rehabilitation program received 151 patients discharged early from hospital in a twelve-month period.Program evaluation demonstrates a 40.9% drop in the average length of stay of rehabilitation patients and a 42.6%drop in average length of stay for patients with stroke. Other benefits of the program include a high level of patientsatisfaction, improved carer support and increased continuity of care. The challenge under the Australianinterpretation of a casemix model of funding is ensuring the viability of services that extend across acute hospital, non-acutecare, and community and home settings.

Early Discharge Does Not Increase Readmission Rates After Minimally Invasive Anatomic Lung Resection

2019 ◽  
Vol 14 (3) ◽  
pp. 218-226
Author(s):  
Guillaume S. Chevrollier ◽  
Amanda K. Nemecz ◽  
Courtney Devin ◽  
Kendrick V. Go ◽  
Misung Yi ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Minimally Invasive ◽  
Enhanced Recovery ◽  
Average Length ◽  
Lung Resection ◽  
Multivariable Analysis ◽  
Early Discharge ◽  
Enhanced Recovery Pathway ◽  
Average Length Of Stay ◽  
Anatomic Lung Resection

Objective Enhanced recovery pathways reduce length of stay and costs following lung resection. However, many fear that early discharge may lead to increased hospital readmissions. In this study, we aimed to determine whether early discharge was associated with increased readmission following anatomic lung resection. Methods Using the lung resection database approved by our institutional review board, we identified all patients undergoing minimally invasive lobectomy and segmentectomy between January 2010 and March 2017 at our institution, where an enhanced recovery pathway is well established. Thirty-day readmissions were compared between patients with short- and average length of stay, defined as 1 to 2 days and 3 to 5 days, respectively. Multivariable logistic regression analysis of patients matched by propensity scores was performed to determine odds of 30-day readmission for each group. Significance was set at P < 0.05. Results A total of 296 patients met inclusion criteria. Unadjusted analysis revealed a 3-fold increased rate of readmission in the group with average length of stay (9%, n = 12) versus the group with short length of stay (3%, n = 5; P < 0.01). At baseline, patients with average length of stay had increased rates of preoperative chemotherapy (13%, n = 18 vs. 4%, n = 6; P < 0.01) and radiation (12%, n = 16 vs. 3%, n = 5). Patients with average length of stay also had higher rates of lobectomy (95%, n = 127 vs. 86%, n = 140; P = 0.02) and postoperative complications (31%, n = 41 vs. 4%, n = 7; P < 0.01). On multivariable analysis, patients with average length of stay had a 2.3-fold greater odds of readmission, which was not statistically significant (OR = 2.33; 95% CI, 0.60 to 9.02; P = 0.22). Conclusions Early discharge following minimally invasive anatomic lung resection does not increase the risk of hospital readmission in patients treated within an enhanced recovery pathway.

scholarly journals Describing Serbian Hospital Activity Using Australian Refined Diagnosis Related Groups: A Case Study in Vojvodina Province

2019 ◽  
Vol 59 (1) ◽  
pp. 18-26
Author(s):  
Aleksandar P Medarevic
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Diagnosis Related Groups ◽  
Diagnostic Category ◽  
Percentile Method ◽  
Average Length Of Stay ◽  
Medical Groups ◽  
Group Homogeneity ◽  
Major Diagnostic Category

Abstract Introduction AR-DRG system for classification hospital episodes was implemented in Serbia to improve efficiency and transparency in the health system. Methods L3H3, IQR, and 10th–95th percentile methods were used to identify outlier episodes in the classification. Classification efficiency and within-group homogeneity were measured by an adjusted reduction in variance (R2) and a coefficient of variation (CV). Results There were 246,131 hospital episodes with a total 1,651,913 bed days from 14 hospitals. All episodes were classified into 652 groups of which 441 had CV lower than 100%. “Medical groups” accounted for 51% of groups and for 72% of episodes. Chemotherapy and vaginal delivery were the highest volume groups, with 5% and 4% of total episodes. Major diagnostic category 6 (MDC 6, Diseases of the digestive system) was the highest volume MDC, accounting for 11% of episodes. “Day-cases” and “prolonged hospitalisation” accounted for 21% and 3% of episodes, respectively. The average length of stay varied from 5.6 to 8.2 days. Adjusted R2 was 0.3 for untrimmed data. Trimming by L3H3, IQR, and 10th–95th percentile method improved the value of adjusted R2 to 0.61, 0.49, and 0.51, identifying 24%, 7%, and 7% of total cases as outliers, respectively. Mental diseases (MDC 19) remained the lowest adjusted R2 in untrimmed and trimmed datasets. Conclusion A long length of stay and a small percentage of “day-cases” characterized hospital activity in Vojvodina. Trimming methods significantly improved DRG efficiency. Future studies should consider cost data.

scholarly journals Discrete simulation applied to queue management in a supermarket

2020 ◽  
Vol 11 (5) ◽  
pp. 1667
Author(s):  
Jefferson Vasconcelos Pereira Junior ◽  
Adriano Maniçoba da Silva ◽  
Diego Galileu de Moraes
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Length Of Stay ◽  
Average Length ◽  
Queue Management ◽  
Discrete Simulation ◽  
Average Length Of Stay ◽  
Financial Investments ◽  
Simulated Scenario

This research presents a case study related to the management of queues in a supermarket and the problems found in the organization of this process. In order to reduce the time that customers remain in the checkout lines, an analysis of the environment (supermarket) was carried out virtually through the discrete simulation technique, linked to the Arena software. This technique is classified as quantitative because it makes it possible to measure entities and predict the action of the environment in a way that mimics the reality of the queues at the site. Through the simulated scenario, it was possible to identify the flaws in the process and the cause of the queuing. Through the results of the simulation, it was observed that the average length of stay in the queue would be reduced by 88.23% if it contemplates the inclusion of 2 to 3 employees to perform the service. Note that the application of this technique is favorable for problem solving and decision-making, as it reduces the time that customers spend in the queue and optimizes the financial investments allocated in this area.

scholarly journals Impact of Implementation of Additional Endoscopy List on Hospital Inpatient Length of Stay

2020 ◽  
Vol 6 ◽  
pp. 1
Author(s):  
Pamila S Adikari ◽  
John Olynyk ◽  
◽  
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Service Improvement ◽  
Hospital Inpatient ◽  
Improvement Project ◽  
Average Length Of Stay ◽  
Full Participation ◽  
Before And After ◽  
Tertiary Hospitals ◽  
Satellite Service

Extended average length of stay (ALOS) leads to increased hospital expenditure. Prioritization of emergency endoscopies over routine elective procedures results in delay and adds on to patients’ ALOS at tertiary hospitals. The gastroenterology department of Fiona Stanley Hospital aimed a service improvement project to shorten the ALOS of inpatients by implementing a new quarantined booking and procedural system allowing elective access to endoscopic procedures. An additional endoscopy list (quarantine list) was implemented with full participation of the stakeholders once a month for a 3-month trial period for inpatients by moving resources from a nearby satellite service. A comparison of the ALOS of patients before and after realizing the preceding intervention was carried out using the time and date information obtained from the theater management and the e-referral system of all routine inpatients with a valid e-referral for gastroscopy or colonoscopy. Upper gastrointestinal endoscopies comprised over two-thirds of the inpatient scopes performed. The ALOS and average time spent for referral improved by 1.09 and 1.97 days, respectively. The ALOS reduced by over 1 day, and improvement was noticed in the prereferral segment. Postreferral efficiency did not improve, and undertaking further analysis to determine the root causes for the continual delay is recommended.

scholarly journals Colonization and Infection With MRSA and CRKP and Its Result in an Increased Mortality Rate Within the Intensive Care and High-Dependency Units in Barbados

2020 ◽  
Vol 41 (S1) ◽  
pp. s173-s174
Author(s):  
Keisha Gustave
Keyword(s):  
Intensive Care ◽  
Length Of Stay ◽  
High Mortality ◽  
Average Length ◽  
Cohort Analysis ◽  
Health Concern ◽  
Queen Elizabeth Hospital ◽  
Surveillance Program ◽  
Average Length Of Stay ◽  
High Dependency

Background: Methicillin-resistant Staphylococcus aureus(MRSA) and carbapenem-resistant Klebsiella pneumoniae (CRKP) are a growing public health concern in Barbados. Intensive care and critically ill patients are at a higher risk for MRSA and CRKP colonization and infection. MRSA and CRKP colonization and infection are associated with a high mortality and morbidly rate in the intensive care units (ICUs) and high-dependency units (HDUs). There is no concrete evidence in the literature regarding MRSA and CRKP colonization and infection in Barbados or the Caribbean. Objectives: We investigated the prevalence of MRSA and CRKP colonization and infection in the patients of the ICU and HDU units at the Queen Elizabeth Hospital from 2013 to 2017. Methods: We conducted a retrospective cohort analysis of patients admitted to the MICU, SICU, and HDU from January 2013 through December 2017. Data were collected as part of the surveillance program instituted by the IPC department. Admissions and weekly swabs for rectal, nasal, groin, and axilla were performed to screen for colonization with MRSA and CRKP. Follow-up was performed for positive cultures from sterile isolates, indicating infection. Positive MRSA and CRKP colonization or infection were identified, and patient notes were collected. Our exclusion criteria included patients with a of stay of <48 hours and patients with MRSA or CRKP before admission. Results: Of 3,641 of persons admitted 2,801 cases fit the study criteria. Overall, 161 (5.3%) were colonized or infected with MRSA alone, 215 (7.67%) were colonized or infected with CRKP alone, and 15 (0.53%) were colonized or infected with both MRSA and CRKP. In addition, 10 (66.6%) of patients colonized or infected with MRSA and CRKP died. Average length of stay of patients who died was 50 days. Conclusions: The results of this study demonstrate that MRSA and CRKP cocolonization and coinfection is associated with high mortality in patients within the ICU and HDU units. Patients admitted to the ICU and HDU with an average length of stay of 50 days are at a higher risk for cocolonization and coinfection with MRSA and CRKP. Stronger IPC measures must be implemented to reduce the spread and occurrence of MRSA and CRKP.Funding: NoneDisclosures: None

scholarly journals Temporal Changes in Central-Line–Associated Bloodstream Infection Time Between Events, 2017–2018 Versus 2015–2016

2020 ◽  
Vol 41 (S1) ◽  
pp. s403-s404
Author(s):  
Jonathan Edwards ◽  
Katherine Allen-Bridson ◽  
Daniel Pollock
Keyword(s):  
Length Of Stay ◽  
Patient Care ◽  
Average Length ◽  
Bloodstream Infections ◽  
Central Line ◽  
Significant Shift ◽  
Care Hospital ◽  
Average Length Of Stay ◽  
Period 2 ◽  
Hospital Bed

Background: The CDC NHSN surveillance coverage includes central-line–associated bloodstream infections (CLABSIs) in acute-care hospital intensive care units (ICUs) and select patient-care wards across all 50 states. This surveillance enables the use of CLABSI data to measure time between events (TBE) as a potential metric to complement traditional incidence measures such as the standardized infection ratio and prevention progress. Methods: The TBEs were calculated using 37,705 CLABSI events reported to the NHSN during 2015–2018 from medical, medical-surgical, and surgical ICUs as well as patient-care wards. The CLABSI TBE data were combined into 2 separate pairs of consecutive years of data for comparison, namely, 2015–2016 (period 1) and 2017–2018 (period 2). To reduce the length bias, CLABSI TBEs were truncated for period 2 at the maximum for period 1; thereby, 1,292 CLABSI events were excluded. The medians of the CLABSI TBE distributions were compared over the 2 periods for each patient care location. Quantile regression models stratified by location were used to account for factors independently associated with CLABSI TBE, such as hospital bed size and average length of stay, and were used to measure the adjusted shift in median CLABSI TBE. Results: The unadjusted median CLABSI TBE shifted significantly from period 1 to period 2 for the patient care locations studied. The shift ranged from 20 to 75.5 days, all with 95% CIs ranging from 10.2 to 32.8, respectively, and P < .0001 (Fig. 1). Accounting for independent associations of CLABSI TBE with hospital bed size and average length of stay, the adjusted shift in median CLABSI TBE remained significant for each patient care location that was reduced by ∼15% (Table 1). Conclusions: Differences in the unadjusted median CLABSI TBE between period 1 and period 2 for all patient care locations demonstrate the feasibility of using TBE for setting benchmarks and tracking prevention progress. Furthermore, after adjusting for hospital bed size and average length of stay, a significant shift in the median CLABSI TBE persisted among all patient care locations, indicating that differences in patient populations alone likely do not account for differences in TBE. These findings regarding CLABSI TBEs warrant further exploration of potential shifts at additional quantiles, which would provide additional evidence that TBE is a metric that can be used for setting benchmarks and can serve as a signal of CLABSI prevention progress.Funding: NoneDisclosures: None

scholarly journals Biased and unbiased estimation of the average length of stay in intensive care units in the Covid-19 pandemic

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nathanael Lapidus ◽  
Xianlong Zhou ◽  
Fabrice Carrat ◽  
Bruno Riou ◽  
Yan Zhao ◽  
...  
Keyword(s):  
Intensive Care ◽  
Length Of Stay ◽  
Average Length ◽  
Parametric Method ◽  
Estimation Methods ◽  
Unbiased Estimation ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Discharged Patients ◽  
First Admission

Abstract Background The average length of stay (LOS) in the intensive care unit (ICU_ALOS) is a helpful parameter summarizing critical bed occupancy. During the outbreak of a novel virus, estimating early a reliable ICU_ALOS estimate of infected patients is critical to accurately parameterize models examining mitigation and preparedness scenarios. Methods Two estimation methods of ICU_ALOS were compared: the average LOS of already discharged patients at the date of estimation (DPE), and a standard parametric method used for analyzing time-to-event data which fits a given distribution to observed data and includes the censored stays of patients still treated in the ICU at the date of estimation (CPE). Methods were compared on a series of all COVID-19 consecutive cases (n = 59) admitted in an ICU devoted to such patients. At the last follow-up date, 99 days after the first admission, all patients but one had been discharged. A simulation study investigated the generalizability of the methods' patterns. CPE and DPE estimates were also compared to COVID-19 estimates reported to date. Results LOS ≥ 30 days concerned 14 out of the 59 patients (24%), including 8 of the 21 deaths observed. Two months after the first admission, 38 (64%) patients had been discharged, with corresponding DPE and CPE estimates of ICU_ALOS (95% CI) at 13.0 days (10.4–15.6) and 23.1 days (18.1–29.7), respectively. Series' true ICU_ALOS was greater than 21 days, well above reported estimates to date. Conclusions Discharges of short stays are more likely observed earlier during the course of an outbreak. Cautious unbiased ICU_ALOS estimates suggest parameterizing a higher burden of ICU bed occupancy than that adopted to date in COVID-19 forecasting models. Funding Support by the National Natural Science Foundation of China (81900097 to Dr. Zhou) and the Emergency Response Project of Hubei Science and Technology Department (2020FCA023 to Pr. Zhao).

scholarly journals Times of change in complex environments - Evaluating hospital co-payments in Palestine refugee camps

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S V Valente de Almeida ◽  
H Ghattas ◽  
G Paolucci ◽  
A Seita
Keyword(s):  
Length Of Stay ◽  
Policy Change ◽  
Negative Binomial ◽  
Negative Impact ◽  
Average Length ◽  
Lessons Learned ◽  
Policy Impact ◽  
Average Length Of Stay ◽  
Ex Post ◽  
The Impact

Abstract We measure the impact introducing a of 10% co-payment component on hospitalisation costs for Palestine refugees from Lebanon in public and private hospitals. This ex-post analysis provides a detailed insight on the direction and magnitude of the policy impact in terms of demand and supply for healthcare. The data was collected by the United Nations Relief and Works Agency for Palestine Refugees in the Near East and include episode level information from all public, private and Red Crescent Hospitals in Lebanon, between April 2016 and October 2017. This is a complete population episode level dataset with information from before and after the policy change. We use multinomial logit, negative binomial and linear models to estimate the policy impact on demand by type of hospital, average length of stay and treatment costs for the patient and the provider. After the new policy was implemented patients were 18% more likely to choose a (free-of-charge) PRCS hospital for secondary care, instead of a Private or Public hospital, where the co-payment was introduced. This impact was stronger for episodes with longer stays, which are also the more severe and more expensive cases. Average length of stay decreased in general for all hospitals and we could not find a statistically significant impact on costs for the provider nor the patient. We find evidence that the introduction of co-payments is hospital costs led to a shift in demand, but it is not clear to what extent the hospitals receiving this demand shift were prepared for having more patients than before, also because these are typically of less quality then the others. Regarding costs, there is no evidence that the provider managed to contain costs with the new policy, as the demand adapted to the changes. Our findings provide important information on hospitalisation expenses and the consequences of a policy change from a lessons learned perspective that should be taken into account for future policy decision making. Key messages We show that in a context of poverty, the introduction of payment for specific hospital types can be efficient for shifting demand, but has doubtable impact on costs containment for the provider. The co-payment policy can have a negative impact on patients' health since after its implementation demand increased at free-of-charge hospitals, which typically have less resources to treat patients.

scholarly journals P17 An audit of Trakcare discharge times for Laparoscopic Cholecystectomy

BJS Open ◽  
2021 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
Jacob Rapier ◽  
Steven Hornby ◽  
Jacob Rapier
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Length Of Stay ◽  
Initial Data ◽  
Best Practice ◽  
Average Length ◽  
Accurate Data ◽  
Day Case ◽  
Average Length Of Stay ◽  
Number Of Patients ◽  
Elective Laparoscopic Cholecystectomy

Abstract Introduction Nationally 61,220 Laparoscopic Cholecystectomies are carried out annually. Those carried out as day-cases reduce providers’ costs and increase income through the best practice tariff. The system in our trust to record discharges is ‘Trakcare’. The aim of this audit was to accurately measure the discharge times of patients undergoing elective Laparoscopic Cholecystectomies, to try and reduce the number of patients recorded as having an overnight stay by accurate data collection. Methods Initial data was collected for all elective Laparoscopic Cholecystectomy discharge times on Trakcare, over a 1 month period. This data was then re-audited prospectively both from Trakcare and discharges reported by nurses/patients. A comparison was then made of Trakcare against reported discharge times. Results Initially 54 operations were recorded, with 30 completed as day cases (55.6%). The re-audited data (on Trakcare) recorded 47 operations, with 15 completed as day cases (37.91%). Of these discharges we were able to capture 26 (55.32%) manually, and 11 were completed as day cases (42.31%). Measuring these 26 with the same operations on Trakcare we were unable to show a difference in the number of cases completed as a day case (11 vs 11), with only a 33 minute decrease in the average length of stay. Conclusion Trakcare is a reliable tool for measuring the date of discharge for patients. The recommendations in are: scheduling surgery for a time pre-13:00 shows a higher proportion of patients discharged the same day, and continue to use Trakcare to record discharge times.

Total Population Estimate of Newborn Special-Care Bed Needs

PEDIATRICS ◽  
1985 ◽  
Vol 75 (6) ◽  
pp. 993-996
Author(s):  
August L. Jung ◽  
Nan Sherman Streeter
Keyword(s):  
Length Of Stay ◽  
Total Population ◽  
Average Length ◽  
Special Care ◽  
Care Hospital ◽  
Total Hospital ◽  
Live Births ◽  
Average Length Of Stay ◽  
Study Results ◽  
Hospital Days

In 1977, 7% of the 38,855 infants born in Utah were estimated to have required a total of 27,439 special-care hospital days. About half (53%) were mildly ill; their average length of stay was 4.6 days, or 24% of the total hospital-days. Another 20% of the infants had intermediate illness, with a 12-day average stay, or 23% of the total hospital-days. The remaining 27% of the infants required intensive care and used 53% of the total hospital-days; their average length of stay was 20 days. As a total population, the state's 38,855 births generated a need for two beds per 1,000 annual live births in special-care facilities. The estimated bed need was: mild illness (Level I), 0.5 beds per 1,000 annual live births; intermediate illness (Level II), 0.5 beds per 1,000 annual live births; and intense illness (Level III), one bed per 1,000 annual live births. Results are based on the assumption that nonstudy births, 30% of the total, have needs proportionate to study births. The following considerations are necessary to extrapolate these bed needs to other populations: (1) convalescence of intensely ill babies may require that up to 50% of their bed needs may be shifted to intermediate care; (2) compliance with criteria for transport to the next level of care may not be 100% as assumed in the study, thus redistributing bed needs; (3) census characteristically fluctuates in special-care nurseries (study results are reported for an unchanging daily census); and (4) the low birth rate of a population is intimately related to the bed needs.

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