scholarly journals Investigating the Impact of Indemnity Waivers on the Length of Stay of Cats at an Australian Shelter

Animals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 50 ◽  
Author(s):  
Jessica Pockett ◽  
Bronwyn Orr ◽  
Evelyn Hall ◽  
Wye Li Chong ◽  
Mark Westman
Keyword(s):  
Length Of Stay ◽  
Coat Colour ◽  
Multivariate Model ◽  
Australian Capital Territory ◽  
Animal Shelters ◽  
Resource Limitations ◽  
Final Multivariate Model ◽  
Likelihood Model ◽  
Cruelty To Animals ◽  
The Impact

Due to resource limitations, animal shelters in Australia historically have focused on rehoming animals considered ‘highly adoptable’. Increasingly, animal shelters in Australia are rehoming animals with pre-existing medical and/or behavioural issues. These animals are often rehomed with an ‘indemnity waiver’ to transfer the responsibility of ongoing financial costs associated with these conditions from the shelter to the new owner. However, it is unknown what effect these indemnity waivers have on the length of stay (LOS) of animals prior to adoption. The current study used data collected from the Royal Society for the Prevention of Cruelty to Animals (RSPCA) Weston shelter located in the Australian Capital Territory (ACT), Australia in 2017 to investigate the effect of indemnity waivers on the LOS of cats. A restricted maximum likelihood model (REML) was used to determine the effect of breed, age, coat colour, presence of a waiver, waiver type (categorised into seven groups) and waiver number (no waiver, single waiver or multiple waivers) on LOS. In the final multivariate model, age, breed and waiver number were found to influence LOS. Young cats, purebred cats and cats adopted without a waiver were adopted fastest. This study is the first to report the effect of indemnity waivers on the adoptability of cats from shelters.

scholarly journals Effect of Seasonal Variation on Clinical Outcome in Patients with Chronic Conditions: Analysis of the Commonwealth Scientific and Industrial Research Organization (CSIRO) National Telehealth Trial (Preprint)

2017 ◽  
Author(s):  
Ahmadreza Argha ◽  
Andrey Savkin ◽  
Siaw-Teng Liaw ◽  
Branko George Celler
Keyword(s):  
Seasonal Variation ◽  
Length Of Stay ◽  
Clinical Outcome ◽  
Seasonal Variations ◽  
Chronic Conditions ◽  
Hospital Admissions ◽  
Australian Capital Territory ◽  
Home Telemonitoring ◽  
The Impact ◽  
At Home

BACKGROUND Seasonal variation has an impact on the hospitalization rate of patients with a range of cardiovascular diseases, including myocardial infarction and angina. This paper presents findings on the influence of seasonal variation on the results of a recently completed national trial of home telemonitoring of patients with chronic conditions, carried out at five locations along the east coast of Australia. OBJECTIVE The aim is to evaluate the effect of the seasonal timing of hospital admission and length of stay on clinical outcome of a home telemonitoring trial involving patients (age: mean 72.2, SD 9.4 years) with chronic conditions (chronic obstructive pulmonary disease coronary artery disease, hypertensive diseases, congestive heart failure, diabetes, or asthma) and to explore methods of minimizing the influence of seasonal variations in the analysis of the effect of at-home telemonitoring on the number of hospital admissions and length of stay (LOS). METHODS Patients were selected from a hospital list of eligible patients living with a range of chronic conditions. Each test patient was case matched with at least one control patient. A total of 114 test patients and 173 control patients were available in this trial. However, of the 287 patients, we only considered patients who had one or more admissions in the years from 2010 to 2012. Three different groups were analyzed separately because of substantially different climates: (1) Queensland, (2) Australian Capital Territory and Victoria, and (3) Tasmania. Time series data were analyzed using linear regression for a period of 3 years before the intervention to obtain an average seasonal variation pattern. A novel method that can reduce the impact of seasonal variation on the rate of hospitalization and LOS was used in the analysis of the outcome variables of the at-home telemonitoring trial. RESULTS Test patients were monitored for a mean 481 (SD 77) days with 87% (53/61) of patients monitored for more than 12 months. Trends in seasonal variations were obtained from 3 years’ of hospitalization data before intervention for the Queensland, Tasmania, and Australian Capital Territory and Victoria subgroups, respectively. The maximum deviation from baseline trends for LOS was 101.7% (SD 42.2%), 60.6% (SD 36.4%), and 158.3% (SD 68.1%). However, by synchronizing outcomes to the start date of intervention, the impact of seasonal variations was minimized to a maximum of 9.5% (SD 7.7%), thus improving the accuracy of the clinical outcomes reported. CONCLUSIONS Seasonal variations have a significant effect on the rate of hospital admission and LOS in patients with chronic conditions. However, the impact of seasonal variation on clinical outcomes (rate of admissions, number of hospital admissions, and LOS) of at-home telemonitoring can be attenuated by synchronizing the analysis of outcomes to the commencement dates for the telemonitoring of vital signs. CLINICALTRIAL Australian New Zealand Clinical Trial Registry ACTRN12613000635763; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364030&isReview=true (Archived by WebCite at http://www.webcitation.org/ 6xLPv9QDb)

The Institute for Healthcare Improvement–NeuroPoint Alliance collaboration to decrease length of stay and readmission after lumbar spine fusion: using national registries to design quality improvement protocols

2020 ◽  
Vol 33 (6) ◽  
pp. 812-821
Author(s):  
Scott L. Zuckerman ◽  
Clinton J. Devin ◽  
Vincent Rossi ◽  
Silky Chotai ◽  
E. Hunter Dyer ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Length Of Stay ◽  
Discharge Planning ◽  
Lumbar Fusion ◽  
Nonparametric Tests ◽  
Learning System ◽  
Design Quality ◽  
Implementation Phase ◽  
Healthcare Improvement ◽  
The Impact

OBJECTIVENational databases collect large amounts of clinical information, yet application of these data can be challenging. The authors present the NeuroPoint Alliance and Institute for Healthcare Improvement (NPA-IHI) program as a novel attempt to create a quality improvement (QI) tool informed through registry data to improve the quality of care delivered. Reducing the length of stay (LOS) and readmission after elective lumbar fusion was chosen as the pilot module.METHODSThe NPA-IHI program prospectively enrolled patients undergoing elective 1- to 3-level lumbar fusions across 8 institutions. A three-pronged approach was taken that included the following phases: 1) Research Phase, 2) Development Phase, and 3) Implementation Phase. Primary outcomes were LOS and readmission. From January to June 2017, a learning system was created utilizing monthly conference calls, weekly data submission, and continuous refinement of the proposed QI tool. Nonparametric tests were used to assess the impact of the QI intervention.RESULTSThe novel QI tool included the following three areas of intervention: 1) preoperative discharge assessment (location, date, and instructions), 2) inpatient changes (LOS rounding checklist, daily huddle, and pain assessments), and 3) postdischarge calls (pain, primary care follow-up, and satisfaction). A total of 209 patients were enrolled, and the most common procedure was a posterior laminectomy/fusion (60.2%). Seven patients (3.3%) were readmitted during the study period. Preoperative discharge planning was completed for 129 patients (61.7%). A shorter median LOS was seen in those with a known preoperative discharge date (67 vs 80 hours, p = 0.018) and clear discharge instructions (71 vs 81 hours, p = 0.030). Patients with a known preoperative discharge plan also reported significantly increased satisfaction (8.0 vs 7.0, p = 0.028), and patients with increased discharge readiness (scale 0–10) also reported higher satisfaction (r = 0.474, p < 0.001). Those receiving postdischarge calls (76%) had a significantly shorter LOS than those without postdischarge calls (75 vs 99 hours, p = 0.020), although no significant relationship was seen between postdischarge calls and readmission (p = 0.342).CONCLUSIONSThe NPA-IHI program showed that preoperative discharge planning and postdischarge calls have the potential to reduce LOS and improve satisfaction after elective lumbar fusion. It is our hope that neurosurgical providers can recognize how registries can be used to both develop and implement a QI tool and appreciate the importance of QI implementation as a separate process from data collection/analysis.

11 Vitamin D Deficiency on Admission and the Association with Length of Stay in Patients with Thermal Injury: A Multi-center Analysis

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S13-S14
Author(s):  
Sarah Zavala ◽  
Kate Pape ◽  
Todd A Walroth ◽  
Melissa A Reger ◽  
Katelyn Garner ◽  
...  
Keyword(s):  
Vitamin D ◽  
Length Of Stay ◽  
Vitamin D Deficiency ◽  
Burn Injury ◽  
Total Body Surface Area ◽  
Inhalation Injury ◽  
Hospital Length Of Stay ◽  
Burn Patients ◽  
Comfort Care ◽  
The Impact

Abstract Introduction In burn patients, vitamin D deficiency has been associated with increased incidence of sepsis. The objective of this study was to assess the impact of vitamin D deficiency in adult burn patients on hospital length of stay (LOS). Methods This was a multi-center retrospective study of adult patients at 7 burn centers admitted between January 1, 2016 and July 25, 2019 who had a 25-hydroxyvitamin D (25OHD) concentration drawn within the first 7 days of injury. Patients were excluded if admitted for a non-burn injury, total body surface area (TBSA) burn less than 5%, pregnant, incarcerated, or made comfort care or expired within 48 hours of admission. The primary endpoint was to compare hospital LOS between burn patients with vitamin D deficiency (defined as 25OHD &lt; 20 ng/mL) and sufficiency (25OHD ≥ 20 ng/mL). Secondary endpoints include in-hospital mortality, ventilator-free days of the first 28, renal replacement therapy (RRT), length of ICU stay, and days requiring vasopressors. Additional data collected included demographics, Charlson Comorbidity Index, injury characteristics, form of vitamin D received (ergocalciferol or cholecalciferol) and dosing during admission, timing of vitamin D initiation, and form of nutrition provided. Dichotomous variables were compared via Chi-square test. Continuous data were compared via student t-test or Mann-Whitney U test. Univariable linear regression was utilized to identify variables associated with LOS (p &lt; 0.05) to analyze further. Cox Proportional Hazard Model was utilized to analyze association with LOS, while censoring for death, and controlling for TBSA, age, presence of inhalation injury, and potential for a center effect. Results Of 1,147 patients screened, 412 were included. Fifty-seven percent were vitamin D deficient. Patients with vitamin D deficiency had longer LOS (18.0 vs 12.0 days, p &lt; 0.001), acute kidney injury (AKI) requiring RRT (7.3 vs 1.7%, p = 0.009), more days requiring vasopressors (mean 1.24 vs 0.58 days, p = 0.008), and fewer ventilator free days of the first 28 days (mean 22.9 vs 25.1, p &lt; 0.001). Univariable analysis identified burn center, AKI, TBSA, inhalation injury, admission concentration, days until concentration drawn, days until initiating supplementation, and dose as significantly associated with LOS. After controlling for center, TBSA, age, and inhalation injury, the best fit model included only deficiency and days until vitamin D initiation. Conclusions Patients with thermal injuries and vitamin D deficiency on admission have increased length of stay and worsened clinical outcomes as compared to patients with sufficient vitamin D concentrations.

scholarly journals Association of Emergency Department Waiting Times With Patient Experience in Admitted and Discharged Patients

2021 ◽  
Vol 8 ◽  
pp. 237437352110114
Author(s):  
Andrew Nyce ◽  
Snehal Gandhi ◽  
Brian Freeze ◽  
Joshua Bosire ◽  
Terry Ricca ◽  
...  
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Patient Experience ◽  
Waiting Times ◽  
Hospital Length ◽  
Short Length ◽  
Hospital Length Of Stay ◽  
Patient’S Experience ◽  
Discharged Patients ◽  
The Impact

Prolonged waiting times are associated with worse patient experience in patients discharged from the emergency department (ED). However, it is unclear which component of the waiting times is most impactful to the patient experience and the impact on hospitalized patients. We performed a retrospective analysis of ED patients between July 2018 and March 30, 2020. In all, 3278 patients were included: 1477 patients were discharged from the ED, and 1680 were admitted. Discharged patients had a longer door-to-first provider and door-to-doctor time, but a shorter doctor-to-disposition, disposition-to-departure, and total ED time when compared to admitted patients. Some, but not all, components of waiting times were significantly higher in patients with suboptimal experience (<100th percentile). Prolonged door-to-doctor time was significantly associated with worse patient experience in discharged patients and in patients with hospital length of stay ≤4 days. Prolonged ED waiting times were significantly associated with worse patient experience in patients who were discharged from the ED and in inpatients with short length of stay. Door-to-doctor time seems to have the highest impact on the patient’s experience of these 2 groups.

scholarly journals Outcomes of non-COVID-19 critically ill patients during the COVID-19 pandemic

2021 ◽  
Author(s):  
Răzvan Bologheanu ◽  
Mathias Maleczek ◽  
Daniel Laxar ◽  
Oliver Kimberger
Keyword(s):  
Intensive Care ◽  
Length Of Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Medical Specialty ◽  
Routine Care ◽  
Treatment Pathways ◽  
Icu Length Of Stay ◽  
Matched Study ◽  
The Impact

Summary Background Coronavirus disease 2019 (COVID-19) disrupts routine care and alters treatment pathways in every medical specialty, including intensive care medicine, which has been at the core of the pandemic response. The impact of the pandemic is inevitably not limited to patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and their outcomes; however, the impact of COVID-19 on intensive care has not yet been analyzed. Methods The objective of this propensity score-matched study was to compare the clinical outcomes of non-COVID-19 critically ill patients with the outcomes of prepandemic patients. Critically ill, non-COVID-19 patients admitted to the intensive care unit (ICU) during the first wave of the pandemic were matched with patients admitted in the previous year. Mortality, length of stay, and rate of readmission were compared between the two groups after matching. Results A total of 211 critically ill SARS-CoV‑2 negative patients admitted between 13 March 2020 and 16 May 2020 were matched to 211 controls, selected from a matching pool of 1421 eligible patients admitted to the ICU in 2019. After matching, the outcomes were not significantly different between the two groups: ICU mortality was 5.2% in 2019 and 8.5% in 2020, p = 0.248, while intrahospital mortality was 10.9% in 2019 and 14.2% in 2020, p = 0.378. The median ICU length of stay was similar in 2019: 4 days (IQR 2–6) compared to 2020: 4 days (IQR 2–7), p = 0.196. The rate of ICU readmission was 15.6% in 2019 and 10.9% in 2020, p = 0.344. Conclusion In this retrospective single center study, mortality, ICU length of stay, and rate of ICU readmission did not differ significantly between patients admitted to the ICU during the implementation of hospital-wide COVID-19 contingency planning and patients admitted to the ICU before the pandemic.

The impact of medical interventions on admission characteristics in children with congenital heart disease and cardiomyopathy

2020 ◽  
pp. 1-8
Author(s):  
Rohit S. Loomba ◽  
Jacqueline Rausa ◽  
Vincent Dorsey ◽  
Ronald A. Bronicki ◽  
Enrique G. Villarreal ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Length Of Stay ◽  
Congenital Heart ◽  
Unit Length ◽  
Channel Blockers ◽  
Regression Analyses ◽  
Converting Enzyme Inhibitors ◽  
Medical Interventions ◽  
The Impact

Abstract Introduction: Children with congenital heart disease and cardiomyopathy are a unique patient population. Different therapies continue to be introduced with large practice variability and questionable outcomes. The purpose of this study is to determine the impact of various medications on intensive care unit length of stay, total length of stay, billed charges, and mortality for admissions with congenital heart disease and cardiomyopathy. Materials and methods: We identified admissions of paediatric patients with cardiomyopathy using the Pediatric Health Information System database. The admissions were then separated into two groups: those with and without inpatient mortality. Univariate analyses were conducted between the groups and the significant variables were entered as independent variables into the regression analyses. Results: A total of 10,376 admissions were included these analyses. Of these, 904 (8.7%) experienced mortality. Comparing patients who experienced mortality with those who did not, there was increased rate of acute kidney injury with an odds ratio (OR) of 5.0 [95% confidence interval (CI) 4.3 to 5.8, p < 0.01], cardiac arrest with an OR 7.5 (95% CI 6.3 to 9.0, p < 0.01), and heart transplant with an OR 0.3 (95% CI 0.2 to 0.4, p < 0.01). The medical interventions with benefit for all endpoints after multivariate regression analyses in this cohort are methylprednisolone, captopril, enalapril, furosemide, and amlodipine. Conclusions: Diuretics, steroids, angiotensin-converting enzyme inhibitors, calcium channel blockers, and beta blockers all appear to offer beneficial effects in paediatric cardiomyopathy admission outcomes. Specific agents within each group have varying effects.

The association of psychiatric and neurological comorbidities with outcomes in traumatic injury patients

2021 ◽  
pp. 009121742198914
Author(s):  
Jennifer Brady ◽  
R David Hayward ◽  
Elango Edhayan
Keyword(s):  
Length Of Stay ◽  
Psychiatric Illness ◽  
Traumatic Injury ◽  
Lower Mortality ◽  
Linear Modeling ◽  
Psychiatric Comorbidities ◽  
Trauma Outcomes ◽  
Hospital Stays ◽  
The Impact ◽  
The Relationship

Introduction Mental illness is a well-known risk factor for injury and injury recidivism. The impact of pre-existing psychiatric illness on trauma outcomes, however, has received less attention. Our study examines the relationship of pre-existing psychiatric illness on trauma outcomes including length of stay, cost, and mortality. Methods Patient data were obtained from the Healthcare Cost and Utilization Project’s State Inpatient Database. All patients admitted for trauma in the Detroit metropolitan area from 1/1/2006 to 12/31/2014 were included. The relationship between individual psychiatric comorbidities (depression, psychosis, and other neurological disorders) and outcomes were evaluated with logistic regression (mortality) and generalized linear modeling (length of stay and cost). Results Over 260,000 records were reviewed. Approximately one-third (29.9%) of patients had one or more psychiatric diagnoses. Patients with depression had longer hospital stays (RR = 1.12, p < 0.001) and higher costs (RR = 1.07, p < 0.001), but also lower mortality (OR = 0.69, p < 0.001). Patients with psychosis had longer stays (RR = 1.18, p < 0.001), higher costs (RR = 1.02, p = 0.002), and lower mortality (OR = 0.61, p < 0.001). Patients with other neurological comorbidities had higher mortality (OR = 1.23, p < 0.001), longer stays (RR = 1.29, p < 0.001), and higher costs (RR = 1.10, p < 0.001). Conclusion Patients with a psychiatric disorder required longer care and incurred greater costs, whereas mortality was higher for only those with a neurological disorder. Identifying patients’ psychiatric comorbidities at the time of admission for trauma may help optimize treatment. Addressing these conditions may help reduce the cost of trauma care.

565 POST-OPERATIVE WEIGHT LOSS AND OUTCOMES FOLLOWING ESOPHAGECTOMY

2020 ◽  
Vol 33 (Supplement_1) ◽  
Author(s):  
R Khaw ◽  
S Munro ◽  
J Sturrock ◽  
H Jaretzke ◽  
S Kamarajah ◽  
...  
Keyword(s):  
Weight Loss ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Enhanced Recovery ◽  
Length Of Hospital Stay ◽  
Failure To Thrive ◽  
Post Discharge ◽  
Postoperative Weight Loss ◽  
Poor Outcomes ◽  
The Impact

Abstract   Oesophageal cancer is the 11th most common cancer worldwide, with oesophagectomy remaining the mainstay curative treatment, despite significant associated morbidity and mortality. Postoperative weight loss remains a significant problem and is directly correlated to poor prognosis. Measures such as the Enhanced Recovery After Surgery (ERAS) programme and intraoperative jejunostomy feed have looked to tackle this. This study investigates the impact of these on mortality, length of hospital stay and postoperative weight loss. Methods Patients undergoing oesophagectomy between January 1st 2012—December 2014 and 28th October 2015–December 31st 2019 in a national tertiary oesophagogastric unit were included retrospectively. Variables measured included comorbidities, operation, histopathology, weights (pre- and post-operatively), length of hospital stay, postoperative complications and mortality. Pre-operative body weight was measured at elective admission, and further weights were identified from a prospectively maintained database, during further clinic appointments. Other data was collected through patient notes. Results 594 patients were included. Mean age at diagnosis was 65.9 years (13–65). Majority of cases were adenocarcinoma (63.3%), with varying stages of disease (TX-4, NX-3). Benign pathology accounted for 8.75% of cases. Mean weight loss post-oesophagectomy exceeded 10% at 6 months (SD 14.49). Majority (60.1%) of patients were discharged with feeding jejunostomy, and 5.22% of these required this feed to be restarted post-discharge. Length of stay was mean 16.5 days (SD 22.3). Complications occurred in 68.9% of patients, of which 13.8% were infection driven. Mortality occurred in 26.6% of patients, with 1.83% during hospital admission. 30-day mortality rate was 1.39%. Conclusion Failure to thrive and prolonged weight-loss following oesophagectomy can contribute to poor recovery, with associated complications and poor outcomes, including increased length of stay and mortality. Further analysis of data to investigate association between weight loss and poor outcomes for oesophagectomy patients will allow for personalised treatment of high-risk patients, in conjunction with members of the multidisciplinary team, including dieticians.

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