Effects of pharmacy interventions at transitions of care on patient outcomes

2020 ◽  
Vol 77 (12) ◽  
pp. 943-949
Author(s):  
Susan Fosnight ◽  
Philip King ◽  
Jacqueline Ewald ◽  
John Feucht ◽  
Angela Lamtman ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Readmission Rate ◽  
Average Length ◽  
Care Transitions ◽  
Outcome Data ◽  
Transitions Of Care ◽  
Readmission Rates ◽  
Average Length Of Stay ◽  
Pharmacy Intervention ◽  
Surgical Unit

Abstract Purpose An interdisciplinary group developed a care transitions process with a prominent pharmacist role. Methods The new transitions process was initiated on a 32-bed medical/surgical unit. Demographics, reconciliation data, information on medication adherence barriers, medication recommendations, and time spent performing interventions were prospectively collected for 284 consecutive patients over 54 days after the pharmacy participation was completely implemented. Outcome data, including 30-day readmission rates and length of stay, were retrospectively collected. Results When comparing metrics for all intervention patients to baseline metrics from the same months of the previous year, the readmission rate was decreased from 21.0% to 15.3% and mean length of stay decreased from 5.3 days to 4.4 days. Further improvement to a 10.2% readmission rate and a 3.6-day average length of stay were observed in the subgroup of intervention patients who received all components of the pharmacy intervention. Additionally, greater improvements were observed in intervention-period patients who received the full pharmacy intervention, as compared to those receiving only parts of the pharmacy intervention, with a 10.2-percentage-point lower readmission rate (10.2% vs 20.4%, P = 0.016) and a 1.7-day shorter length of stay (3.6 days vs 5.3 days; 95% confidence interval, 0.814-2.68 days; P = 0.0003). For patients receiving any component of the pharmacy intervention, an average of 9.56 medication recommendations were made, with a mean of 0.89 change per patient deemed to be required to avoid harm and/or increased length of stay. Conclusion A comprehensive pharmacy intervention added to a transitions intervention resulted in an average of nearly 10 medication recommendations per patient, improved length of stay, and reduced readmission rates.

Reduction of Length of Stay in an Acute Care Psychiatric Unit

1996 ◽  
Vol 41 (1) ◽  
pp. 49-51 ◽  
Author(s):  
Therese Edward-Chandran ◽  
De Malcolm ◽  
RC Bowen
Keyword(s):  
Length Of Stay ◽  
Acute Care ◽  
Readmission Rate ◽  
Average Length ◽  
National Level ◽  
Care Facility ◽  
Initial Increase ◽  
Psychiatric Unit ◽  
Readmission Rates ◽  
Average Length Of Stay

Objective: To study the association between reduced length of stay in an acute care psychiatric unit and readmission rates. Method: Data on average length of stay, total discharges and readmission rates from April 1988 to March 1994 for 2 hospitals with high average lengths of stay was obtained from the Canadian Institute for Health Information database. Results: The average length of stay decreased from 25 days to 16 days, reaching the national level at one hospital. An initial increase in the readmission rate subsequently declined to pre-study levels. There was no change in length of stay at the other hospital. Conclusion: Reducing the length of stay in an acute care facility by 9 days to an average of 16 days did not lead to a sustained increase in the readmission rate.

Comparing an on-site nurse practitioner with telemedicine physician support hospitalist programme with a traditional physician hospitalist programme

2018 ◽  
Vol 25 (4) ◽  
pp. 213-220
Author(s):  
Michelle Boltz ◽  
Norma G Cuellar ◽  
Casey Cole ◽  
Brent Pistorese
Keyword(s):  
Length Of Stay ◽  
Nurse Practitioners ◽  
Care Delivery ◽  
Average Length ◽  
Retrospective Chart Review ◽  
Mortality Rates ◽  
Provider Communication ◽  
Readmission Rates ◽  
Average Length Of Stay ◽  
Physician Support

Introduction Since 2010, more than 75 rural hospitals have closed in the USA and more than one-third are at risk of closure due to lower patient volumes, lower funding levels, decreased hospital revenue and lower physician employment pools. Telemedicine can provide new models of care delivery that maintain quality and reduce cost of healthcare in rural populations. The purpose of this project was to evaluate a cross-organizational pilot program by comparing a NP/telemedicine physician hospitalist programme with a traditional physician hospitalist model to assess effects on length of patient stay, mortality rates, readmission rate, Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings of provider communication, and total hospital costs. Methods The Standard for Quality Improvement Reporting Excellence (SQUIRE) guidelines were followed. Using a one-year retrospective chart review, average length of stay, mortality rates, 30-day readmission rates and provider communication ratings were compared between hospitalists that were nurse practitioners working with physicians through telemedicine support and physicians alone. Results There was no statistically significant variance in average length of stay, mortality rates, 30-day readmission rates, or provider communication ratings on HCAHPS surveys compared to the NP or physician hospitalist. Discussion This new model of care demonstrates that telemedicine can be used to provide safe and efficient physician support from a regional hub medical centre to nurse practitioners practising as hospitalists in rural Critical Access Hospitals at up to 58% cost savings while maintaining quality of care and increasing access to community-based physicians.

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.

Abstract TP300: Implementation of Stroke Pathways to Reduce Length of Stay, Cost, Readmissions, and Mortality

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Jayme Strauss ◽  
Andrew Waisbrot ◽  
Daniel D'Amour ◽  
Amy K Starosciak
Keyword(s):  
Mortality Rate ◽  
Length Of Stay ◽  
Readmission Rate ◽  
Clinical Pathways ◽  
Transitions Of Care ◽  
Fiscal Year ◽  
Variable Cost ◽  
Total Cost ◽  
Iv Tpa ◽  
Order Set

Introduction: Acute stroke is a major contributor to healthcare costs. In 2012, estimated direct costs associated with stroke was $71B, which is projected to double to $184B by 2030. As healthcare evolves and reimbursements decrease, cost control in disease specific populations is critical. In November 2017, length of stay (LOS) peaked at 5.78 days, as did variable and total cost/case (Table). In fiscal year 2017 the 30-d readmission rate was 9% and the mortality rate was 12%. Compliance with stroke admission order sets was at 55%. Methods: A multidisciplinary committee was formed in February 2017 to develop standardized, evidence-based clinical pathways for three populations: Ischemic stroke (IS) treated with IV tPA, TIA/IS without IV tPA, and intracerebral hemorrhage. The team met biweekly to standardize clinical pathways, decrease time to follow-up imaging, focus on physician order set utilization, and control costs. A comprehensive education program for all clinical staff was completed; official implementation of the pathways was in November 2017. A stroke financials team meets monthly to continue to look at opportunities and transitions of care. We reviewed a retrospective financial report of all in-hospital cases coded as MS-DRG 61-69 from 12/2017 through 7/31/2019 and compared it the 11/2017 report. Results: A total of 83 cases were available for 12/2017 and 2192 for 1/2018 through 7/2019. There was a reduced LOS by 26% (4.34 days), reduced variable cost/case by 24% ($5,958), reduced total cost/case by 23% ($13,790), reduced the 30-d readmission rate to 6%, and reduced the mortality rate to 4%. Case mix index was 12% higher at 1.3272 (vs. 1.2055 previously). Order set compliance improved to 94% (Table). A total cost saving dollar realization of $4.5 million. Discussion: Standardization of stroke clinical pathways led to improved order set compliance, almost 1/4 reduction in variable and total costs per case, shortened LOS, and reduced mortality and readmission rates.

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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