Discharge destination of patients from a psychogeriatric unit

2011 ◽  
Vol 26 (S2) ◽  
pp. 845-845
Author(s):  
M. Ochuko-Emore
Keyword(s):  
Mental Illness ◽  
Length Of Stay ◽  
Average Length ◽  
Discharge Destination ◽  
Average Length Of Stay ◽  
The Mean ◽  
Time Of Admission ◽  
At Home

ObjectivesTo determine the discharge destination of patients admitted to a psychogeriatric unit.MethodsRecords of all patients discharged from an in-patient psychogeriatric unit between 1st July 2009 and 30th June 2010 were examined. The diagnosis, residence at admission, length of stay and discharge destination were recorded.ResultsThere were ninety-four discharges over the study period. Four of the patients were admitted and discharged twice. The mean age was 76.7 years (range 65–95 years). 52.1% (n = 49) were diagnosed with dementia and 47.9% (n = 45) with functional mental illness. The average length of stay was 67.4 days for dementia compare to 74.2 days for functional mental illness. 17.1% (n = 6/32) of patients with dementia and 84.2% (n = 32/38) of patients with functional mental illness resident at home at the time of admission were discharged home.ConclusionThis finding suggests that patients with functional mental illness are more likely to be discharge back to their homes compared with patients with dementia.

scholarly journals Weekend new patient reviews in psychiatry: evaluation of activity over 3 months

2017 ◽  
Vol 41 (6) ◽  
pp. 337-340
Author(s):  
Michael Rutherford ◽  
Mark Potter
Keyword(s):  
Mental Health ◽  
Length Of Stay ◽  
Average Length ◽  
Clinical Implications ◽  
Out Of Hours ◽  
Feasible Method ◽  
Average Length Of Stay ◽  
South West ◽  
Before And After ◽  
The Mean

Aims and methodSouth West London and St George's Mental Health NHS Trust developed a system of weekend new patient reviews by higher trainees to provide senior medical input 7 days a week. To evaluate the effectiveness of these reviews, the notes for all patients admitted over 3 months were examined. The mean length of stay for patients before and after the introduction of the weekend new patient reviews were compared via unpaired t-test.ResultsA total of 88 patients were seen: 84.4% of patients were seen within 24 h of admission. Higher trainees instituted some changes in 78.9% of patients. The most frequent action was to modify medication, in 47.8%. The average length of stay after the introduction of weekend reviews was not significantly different.Clinical implicationsWeekend reviews of newly admitted patients by higher trainees is a feasible method for providing senior input to patients admitted out of hours.

scholarly journals Contribution of the BioFire® FilmArray® Meningitis/Encephalitis Panel:

2019 ◽  
Vol 12 (1) ◽  
pp. 1-3 ◽  
Author(s):  
Kyle Dack ◽  
Stephanie Pankow ◽  
Elizabeth Ablah ◽  
Rosey Zackula ◽  
Maha Assi
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Medical Center ◽  
Antiviral Treatment ◽  
Length Of Hospital Stay ◽  
Average Length Of Stay ◽  
Regional Medical ◽  
Regional Medical Center ◽  
The Mean ◽  
Hospital Stay Duration

Introduction. Traditional evaluation of meningitis includes cerebrospinalfluid (CSF) culture and gram stain to pinpoint specific causalorganisms. The BioFire® FilmArray® Meningitis/Encephalitis (ME)Panel has been implemented as a more timely evaluation method.This study sought to assess if the BioFire® ME Panel was associatedwith a decreased length of stay or decreased antimicrobial durationwhen used in the diagnosis of meningitis or encephalitis.Methods.xA case, historical-control, chart review was performed onpatients admitted to a regional medical center with CSF pleocytosisduring Cohort 1 (the year prior to BioFire® ME Panel implementation)and Cohort 2 (the year after BioFire® ME Panel implementation).Length of hospital stay, duration of antimicrobials, and BioFire® MEPanel result were gathered and analyzed.Results. Average length of stay for both cohorts was about fourhospital days. Approximately three-fourths of all patients receivedantibiotic/antiviral treatment with an average of three days duration.No significant differences were observed between groups. The mean(median) duration of antimicrobials in the year prior to and afterthe BioFire® ME Panel implementation was 3.6 (3) and 3.1 (2) days,respectively (p = 0.835). The mean (median) length of stay in the yearprior to and after the BioFire® ME Panel implementation was 5.8 (4)and 5.4 (4) days, respectively (p = 0.941). Among the patients admittedafter the implementation of the BioFire® ME Panel, 4.3 % (n =2) had a positive bacterial result, 38.3% (n = 18) had a positive viralresult, and 57.4% (n = 27) had a negative result. Of the 27 negativeresults, 77.8% (n = 21) were treated with antimicrobial medication.Conclusions. This study suggested there is no difference betweenlength of stay or antimicrobial duration in presumed meningitis casesassessed with traditional methods as compared to the BioFire® MEPanel. Kans J Med 2019;12(1):1-3.

scholarly journals Identifying the Characteristics of Patients With Cervical Degenerative Disease for Surgical Treatment From 17-Year Real-World Data: Retrospective Study

10.2196/16076 ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. e16076 ◽  
Author(s):  
Si Zheng ◽  
Yun Xia Wu ◽  
Jia Yang Wang ◽  
Yan Li ◽  
Zhong Jun Liu ◽  
...  
Keyword(s):  
Surgical Treatment ◽  
Length Of Stay ◽  
Real World ◽  
Average Length ◽  
Real World Data ◽  
Female Patients ◽  
Average Length Of Stay ◽  
Age At Surgery ◽  
The Mean ◽  
Cervical Degenerative Disease

Background Real-world data (RWD) play important roles in evaluating treatment effectiveness in clinical research. In recent decades, with the development of more accurate diagnoses and better treatment options, inpatient surgery for cervical degenerative disease (CDD) has become increasingly more common, yet little is known about the variations in patient demographic characteristics associated with surgical treatment. Objective This study aimed to identify the characteristics of surgical patients with CDD using RWD collected from electronic medical records. Methods This study included 20,288 inpatient surgeries registered from January 1, 2000, to December 31, 2016, among patients aged 18 years or older, and demographic data (eg, age, sex, admission time, surgery type, treatment, discharge diagnosis, and discharge time) were collected at baseline. Regression modeling and time series analysis were conducted to analyze the trend in each variable (total number of inpatient surgeries, mean age at surgery, sex, and average length of stay). A P value <.01 was considered statistically significant. The RWD in this study were collected from the Orthopedic Department at Peking University Third Hospital, and the study was approved by the institutional review board. Results Over the last 17 years, the number of inpatient surgeries increased annually by an average of 11.13%, with some fluctuations. In total, 76.4% (15,496/20,288) of the surgeries were performed in patients with CDD aged 41 to 65 years, and there was no significant change in the mean age at surgery. More male patients were observed, and the proportions of male and female patients who underwent surgery were 64.7% (13,126/20,288) and 35.3% (7162/20,288), respectively. However, interestingly, the proportion of surgeries performed among female patients showed an increasing trend (P<.001), leading to a narrowing sex gap. The average length of stay for surgical treatment decreased from 21 days to 6 days and showed a steady decline from 2012 onward. Conclusions The RWD showed its capability in supporting clinical research. The mean age at surgery for CDD was consistent in the real-world population, the proportion of female patients increased, and the average length of stay decreased over time. These results may be valuable to guide resource allocation for the early prevention and diagnosis, as well as surgical treatment of CDD.

scholarly journals The Use of Determinants of Length of Stay in the Post-anesthesia Care Unit (PACU) at the Philippine General Hospital among Postoperative Patients who Underwent Elective Surgeries to Create a Predictive Model for PACU Length of Stay

2020 ◽  
Vol 54 (5) ◽  
Author(s):  
Maria Teresita B. Aspi ◽  
Evangeline Ko-Villa
Keyword(s):  
Length Of Stay ◽  
General Hospital ◽  
Chart Review ◽  
Average Length ◽  
Anesthetic Technique ◽  
Published Data ◽  
Post Anesthesia Care Unit ◽  
Average Length Of Stay ◽  
Duration Of Surgery ◽  
The Mean

Background. The aims of this study were to determine the average length of stay in the Post-anesthesia CareUnit (PACU LOS) in the Philippine General Hospital (PGH) and to create a model that will predict the PACU LOSbased on the factors that significantly affect the LOS. Determination and prediction of PACU LOS is essential inresource utilization, and in cost containment and reduction. Addressing the modifiable variables that affect thePACU LOS may lead to an improvement in the LOS of patients in the PACU and, consequently, to better recoveryroom staffing and a reduced cost for the patients and the hospital. Methods. A prospective chart review of 400 postoperative patients admitted in the PGH PACU was done. Summarystatistics were presented. Using the set of variables found to be significant, a regression model was formulatedto estimate the PACU LOS. Results. The mean PACU LOS was 4.59 hours. There were significant differences in the mean PACU LOS basedon the occurrence of complications. There were also significant differences in the median PACU LOS based onthe type and duration of surgery, anesthetic technique, and duration of anesthesia. The multiple linear regressionmodel that best predicted PACU LOS included ASA-PS classification, type of surgery, duration of surgery, anesthetictechnique, and occurrence of intraoperative or postoperative complications. Conclusions. The mean PACU LOS of the Philippine Genera Hospital is higher than that of published data. Thefactors included in the model that best predicts PACU LOS may be studied to improve the PACU LOS.

scholarly journals Impact of vaccination in reducing Hospital expenses, Mortality and Average length of stay among COVID 19 patients. A retrospective cohort study from India

2021 ◽  
Author(s):  
Madhumathi Ramakrishnan ◽  
Prakash Subbarayan
Keyword(s):  
Cohort Study ◽  
Relative Risk ◽  
Length Of Stay ◽  
Retrospective Cohort ◽  
Relative Risk Reduction ◽  
Average Length ◽  
Total Hospital ◽  
Average Length Of Stay ◽  
The Mean ◽  
Hospital Expenses

Background & Aim: WHO listed vaccine hesitancy among the top 10 global threats to health and there are very few reports highlighting vaccine benefits against COVID-19. The aim of this study was to study the impact of vaccination on reducing the average length of stay (ALOS), intensive care unit (ICU) requirement, mortality and cost of the treatment among COVID-19 patients. Methods: In this retrospective cohort study all the patients above 45 years who underwent treatment for COVID-19 were included. The data of patients treated pan India during the period March & April 2021 with the diagnosis of COVID-19, under health insurance cover, were extracted to study parameters like the ALOS, mortality, ICU requirement, total hospital expenses incurred and the vaccination status. Results: Among 3820 patients with COVID-19, 3301 (86.4%) were unvaccinated while 519 (13.6%) were vaccinated. Among the unvaccinated the mean (s.d) ALOS was 7 days. Fourteen days after second dose of vaccination this was significantly less (p=0.01) at 4.9. The mean total hospital expense among the unvaccinated was Rs. 277850. Fourteen days after second dose of vaccination this was further less (p=0.001) at Rs. 217850. Among the unvaccinated population 291/3301 (8.8%) required ICU and this was significantly less (p=0.03) at 31/519 (6%) among the vaccinated. Among those who received two doses of vaccination it was further less at 1/33 (3%). The mortality among unvaccinated patients was 16/3301 (0.5%) while there was no mortality among the vaccinated. Among those who received two doses of vaccination there was a 66% relative risk reduction in ICU stay and 81% relative risk reduction in mortality. Conclusions: There was a significant reduction in ALOS, ICU requirement, mortality & treatment cost in patients who had completed two doses of vaccination. These findings may be used in motivating public and promoting vaccination drive.

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.

Sign in / Sign up

Export Citation Format

Share Document