scholarly journals Real-world evidence on impact of a pharmacist-led transitional care program on 30- and 90-day readmissions after acute care episodes

2020 ◽  
Vol 77 (7) ◽  
pp. 535-545 ◽  
Author(s):  
Yuna H Bae-Shaaw ◽  
Hyunah Eom ◽  
Robert F Chun ◽  
D Steven Fox
Keyword(s):  
Acute Care ◽  
Transitional Care ◽  
Care Program ◽  
Hospital Length ◽  
Transitions Of Care ◽  
Hospital Length Of Stay ◽  
Care Process ◽  
Chronic Obstructive ◽  
Intervention Site ◽  
The Impact

Abstract Purpose Recent evidence suggests that improving the transitional care process may reduce 30-day readmissions and hospital length of stay (LOS). The objective of this study was to evaluate the impact of a pharmacist-led transitions-of-care (TOC) program on 30- and 90-day all-cause readmissions and LOS for patients discharged from the hospital acute care setting. Methods A retrospective cohort study was conducted using a difference-in-difference (DID) approach. Patients who were at least 18 years old with any of the following primary diagnoses were included: acute myocardial infarction, chronic obstructive pulmonary disease, congestive heart failure (CHF), and pneumonia. Outcome measures were all-cause 30- and 90-day readmission and LOS for the index admission. Results From October 2013 through September 2017, 1,776 patients were discharged from the intervention site, and 2,969 patients were discharged from 3 control sites. Only 33.3% of eligible patients at the intervention site actually received the intervention. The DID analysis showed that the odds ratio (OR) for 30-day readmission was 0.65 [P = 0.035] at the intervention site following TOC program initiation. The OR for 90-day readmission was 0.75 [P = 0.070]. Among all diagnosis groups, the CHF subgroup had the highest proportion of patients who actually received the TOC intervention (57.2%). Within that CHF subgroup, the ORs for 30- and 90-day readmissions were 0.52 [P = 0.056] and 0.47 [P = 0.005], respectively. The mean LOS did not change significantly in either analysis. Conclusion This pharmacist-led transitional care intervention was associated with significantly decreased inpatient readmissions. The analysis indicates that pharmacist interventions can significantly reduce 30-day readmissions for high-risk populations and 90-day readmissions in patients with CHF.

Abstract TP278: Positive Impact of a Stroke Bundle Program

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Deborah Murphy ◽  
Colleen Boyle ◽  
Elissa Della Monica ◽  
Heather Peiritsch ◽  
Laura Schmidt ◽  
...  
Keyword(s):  
Care Coordination ◽  
Positive Impact ◽  
Hospital Readmissions ◽  
Transitions Of Care ◽  
Hospital Length Of Stay ◽  
Care Process ◽  
Full Time ◽  
Stroke Patients ◽  
Nurse Navigator ◽  
The Impact

Introduction: There are limited comparative data on the impact of a stroke bundle program on patient outcomes. We aimed to assess the magnitude of change that could occur during transitions of care process by implementation of a stroke bundle program. Methods: Six skilled nursing facilities (SNF) participated with a Joint Commission certified Comprehensive Stroke Center to implement a Bundled Payment Care Initiative (BPCI) program. The stroke leadership developed a charter and additional support teams (care coordination and SNF). Three smart goals were identified and reflected organizational strategic goals: reduction of the number of stroke patients that are admitted to a SNF by 5% (baseline 27.9%); reduction of preferred provider SNF days for stroke patients by 10% (baseline 35.5%) and reduction of hospital readmissions for stroke by 5% (baseline 31.5%). A strong infrastructure supported the care coordination teams including the hiring of a full time stroke nurse navigator. The kick off for the program was October 1, 2015. Several strategic and operational initiatives were developed and successfully implemented at SNFs: utilization of stroke clinical practice guidelines: stroke education programs; stroke summit for all SNF administrators, physicians and staff; bi-monthly, face to face/conference call meetings with SNF administrators and bundle team leadership; case reviews between caregivers at acute setting and SNF; SharePoint site to enhance communication; stroke nurse navigator interaction with patients, families, SNF staff, 90 day follow up and readmission case reviews. Results: Smart goal achievement over a 6 month period demonstrated: reduction of the number of stroke patients that were admitted to SNF by .4% (21.9%); reduction of preferred provider SNF days for stroke patients by 16% (16%) and reduction of hospital readmissions for stroke by 7% (23.3%). Comparison of hospital length of stay variance between bundle (3.78) and non-bundle patients (5.08) patients was 1.3%. Conclusions: A stroke bundle program impacts positively on transitions of care at preferred provider SNF facilities. Standardization of care and a unified care team attributes to stroke patients returning to their life at home in a much more efficient and timely manner.

Abstract WP390: Closing the Gap: Integrating Community Paramedics in Stroke Patients Transition to Home

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Susan J Ashcraft ◽  
Laura Post ◽  
Camron Young
Keyword(s):  
Readmission Rate ◽  
Transitional Care ◽  
Care Delivery ◽  
Care Program ◽  
Adverse Outcomes ◽  
Transitions Of Care ◽  
Stroke Recurrence ◽  
Stroke Patients ◽  
Stroke Population ◽  
The Impact

Background and Issues: The transition of stroke patients home is complex. Assessment of functional status and coordination of healthcare and support services while engaging patient and family to be active participants in secondary prevention is essential in preventing stroke recurrence. Readmission rates for stroke patients are also high. Reductions in stroke readmissions must target unresolved problems at discharge and the quality of immediate post-hospital care. Purpose: The purpose of the Community Paramedic program is to reduce stroke readmissions. An additional goal is to identify key areas which may contribute to poor patient outcomes or readmission and develop and implement action plans for their prevention. Methods: Use of a community paramedic transitional care model is an innovative approach to reduce readmissions in the stroke population. Using the Model for Improvement, an interprofessional team developed a transitional care program focusing on patient-centered care delivery, and on reducing readmissions and adverse outcomes. Use of The National Transitions of Care Coalition’s essential interventions categories, the program addressed: medication management, transitional planning, shared accountability, provider engagement, patient and family engagement and education, follow-up care, and information transfer. Results: Despite a 13% increase in stroke patient volume from 2014 to 2015, the program realized a statistically significant reduction in readmission rate (10.7% to 8.51%; p = .045, α =.05) in 2015 and has sustained the reduction through 2016. This reduction represents 21 avoided readmissions in the stroke population with cost avoidance of at least $210,000.00. The decrease in readmission rate is well below both the goal and stretch goals of 5% and 10% reduction in stroke readmissions. Conclusion: The impact of integrating Community Paramedics into a transitional care program coordinated through Stroke Navigators shows a significant impact on reducing 30-day readmissions. Replication in other patient populations and other counties may have a significant impact for both patients and hospitals focused on improving similar outcomes.

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 Ethnicity and outcomes in patients hospitalised with COVID-19 infection in East London: an observational cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042140
Author(s):  
Vanessa J Apea ◽  
Yize I Wan ◽  
Rageshri Dhairyawan ◽  
Zudin A Puthucheary ◽  
Rupert M Pearse ◽  
...  
Keyword(s):  
Premature Death ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Organ Support ◽  
Invasive Ventilation ◽  
Black Patients ◽  
Hospitalised Patients ◽  
Observational Cohort ◽  
The Impact ◽  
To Receive

ObjectiveTo describe outcomes within different ethnic groups of a cohort of hospitalised patients with confirmed COVID-19 infection. To quantify and describe the impact of a number of prognostic factors, including frailty and inflammatory markers.SettingFive acute National Health Service Hospitals in east London.DesignProspectively defined observational study using registry data.Participants1737 patients aged 16 years or over admitted to hospital with confirmed COVID-19 infection between 1 January and 13 May 2020.Main outcome measuresThe primary outcome was 30-day mortality from time of first hospital admission with COVID-19 diagnosis during or prior to admission. Secondary outcomes were 90-day mortality, intensive care unit (ICU) admission, ICU and hospital length of stay and type and duration of organ support. Multivariable survival analyses were adjusted for potential confounders.Results1737 were included in our analysis of whom 511 had died by day 30 (29%). 538 (31%) were from Asian, 340 (20%) black and 707 (40%) white backgrounds. Compared with white patients, those from minority ethnic backgrounds were younger, with differing comorbidity profiles and less frailty. Asian and black patients were more likely to be admitted to ICU and to receive invasive ventilation (OR 1.54, (95% CI 1.06 to 2.23); p=0.023 and OR 1.80 (95% CI 1.20 to 2.71); p=0.005, respectively). After adjustment for age and sex, patients from Asian (HR 1.49 (95% CI 1.19 to 1.86); p<0.001) and black (HR 1.30 (95% CI 1.02 to 1.65); p=0.036) backgrounds were more likely to die. These findings persisted across a range of risk factor-adjusted analyses accounting for major comorbidities, obesity, smoking, frailty and ABO blood group.ConclusionsPatients from Asian and black backgrounds had higher mortality from COVID-19 infection despite controlling for all previously identified confounders and frailty. Higher rates of invasive ventilation indicate greater acute disease severity. Our analyses suggest that patients of Asian and black backgrounds suffered disproportionate rates of premature death from COVID-19.

scholarly journals The risk of clinical complications and death among pregnant women with COVID-19 in the Cerner COVID-19 cohort: a retrospective analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fares Qeadan ◽  
Nana A. Mensah ◽  
Benjamin Tingey ◽  
Joseph B. Stanford
Keyword(s):  
Pregnant Women ◽  
Disease Outbreaks ◽  
Hospital Length ◽  
Morbidity And Mortality ◽  
Hospital Length Of Stay ◽  
High Risk Population ◽  
Invasive Ventilation ◽  
Female Patients ◽  
Race Ethnicity ◽  
The Impact

Abstract Background Pregnant women are potentially a high-risk population during infectious disease outbreaks such as COVID-19, because of physiologic immune suppression in pregnancy. However, data on the morbidity and mortality of COVID-19 among pregnant women, compared to nonpregnant women, are sparse and inconclusive. We sought to assess the impact of pregnancy on COVID-19 associated morbidity and mortality, with particular attention to the impact of pre-existing comorbidity. Methods We used retrospective data from January through June 2020 on female patients aged 18–44 years old utilizing the Cerner COVID-19 de-identified cohort. We used mixed-effects logistic and exponential regression models to evaluate the risk of hospitalization, maximum hospital length of stay (LOS), moderate ventilation, invasive ventilation, and death for pregnant women while adjusting for age, race/ethnicity, insurance, Elixhauser AHRQ weighted Comorbidity Index, diabetes history, medication, and accounting for clustering of results in similar zip-code regions. Results Out of 22,493 female patients with associated COVID-19, 7.2% (n = 1609) were pregnant. Crude results indicate that pregnant women, compared to non-pregnant women, had higher rates of hospitalization (60.5% vs. 17.0%, P < 0.001), higher mean maximum LOS (0.15 day vs. 0.08 day, P < 0.001) among those who stayed < 1 day, lower mean maximum LOS (2.55 days vs. 3.32 days, P < 0.001) among those who stayed ≥1 day, and higher moderate ventilation use (1.7% vs. 0.7%, P < 0.001) but showed no significant differences in rates of invasive ventilation or death. After adjusting for potentially confounding variables, pregnant women, compared to non-pregnant women, saw higher odds in hospitalization (aOR: 12.26; 95% CI (10.69, 14.06)), moderate ventilation (aOR: 2.35; 95% CI (1.48, 3.74)), higher maximum LOS among those who stayed < 1 day, and lower maximum LOS among those who stayed ≥1 day. No significant associations were found with invasive ventilation or death. For moderate ventilation, differences were seen among age and race/ethnicity groups. Conclusions Among women with COVID-19 disease, pregnancy confers substantial additional risk of morbidity, but no difference in mortality. Knowing these variabilities in the risk is essential to inform decision-makers and guide clinical recommendations for the management of COVID-19 in pregnant women.

scholarly journals The Impact of Selenium Supplementation on Trauma Patients—Systematic Review and Meta-Analysis

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 342
Author(s):  
Jen-Fu Huang ◽  
Chih-Po Hsu ◽  
Chun-Hsiang Ouyang ◽  
Chi-Tung Cheng ◽  
Chia-Cheng Wang ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Meta Analysis ◽  
Infectious Complications ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Current Evidence ◽  
Trauma Patients ◽  
Positive Effects ◽  
Standard Difference ◽  
The Impact

This study aimed to assess current evidence regarding the effect of selenium (Se) supplementation on the prognosis in patients sustaining trauma. MEDLINE, Embase, and Web of Science databases were searched with the following terms: “trace element”, “selenium”, “copper”, “zinc”, “injury”, and “trauma”. Seven studies were included in the meta-analysis. The pooled results showed that Se supplementation was associated with a lower mortality rate (OR 0.733, 95% CI: 0.586, 0.918, p = 0.007; heterogeneity, I2 = 0%). Regarding the incidence of infectious complications, there was no statistically significant benefit after analyzing the four studies (OR 0.942, 95% CI: 0.695, 1.277, p = 0.702; heterogeneity, I2 = 14.343%). The patients with Se supplementation had a reduced ICU length of stay (standard difference in means (SMD): −0.324, 95% CI: −0.382, −0.265, p < 0.001; heterogeneity, I2 = 0%) and lesser hospital length of stay (SMD: −0.243, 95% CI: −0.474, −0.012, p < 0.001; heterogeneity, I2 = 45.496%). Se supplementation after trauma confers positive effects in decreasing the mortality and length of ICU and hospital stay.

scholarly journals What Is the Impact of Ambulatory Vital Sign Monitoring on Deterioration Detection and Related Clinical Outcomes in Hospitalised Patients: a Systematic Review and Meta-analysis.

2021 ◽  
Author(s):  
Carlos Morgado Areia ◽  
Christopher Biggs ◽  
Mauro Santos ◽  
Neal Thurley ◽  
Stephen Gerry ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Outcomes ◽  
Standard Care ◽  
Meta Analysis ◽  
Ambulatory Monitoring ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Monitoring Systems ◽  
Hospitalised Patients ◽  
The Impact

Abstract Background: Timely recognition of the deteriorating inpatient remains challenging. Ambulatory monitoring systems (AMS) may augment current monitoring practices. However, there are many challenges to implementation in the hospital environment, and evidence describing the clinical impact of AMS on deterioration detection and patient outcome remains unclear. Objective: To assess the impact of vital signs monitoring on detection of deterioration and related clinical outcomes in hospitalised patients using ambulatory monitoring systems, in comparison with standard care.Methods: A systematic search was conducted in August 2020 using MEDLINE, Embase, CINAHL, Cochrane Database of Systematic Reviews, CENTRAL and Health Technology Assessment databases, as well as grey literature. Studies comparing the use of AMS against standard care for deterioration detection and related clinical outcomes in hospitalised patients were included. Deterioration related outcomes (primary) included unplanned intensive care admissions, rapid response team or cardiac arrest activation, total and major complications rate. Other clinical outcomes (secondary) included in-hospital mortality and hospital length of stay. Exploratory outcomes included alerting system parameters and clinical trial registry information. Results: Of 8706 citations, 10 studies with different designs met the inclusion criteria, of which 7 were included in the meta-analyses. Overall study quality was moderate. The meta-analysis indicated that the AMS, when compared with standard care, was associated with a reduction in intensive care transfers (risk ratio, RR, 0.87; 95% confidence interval, CI, 0.66 to 1.15), rapid response or cardiac arrest team activation (RR, 0.84; 95% CI 0.69 to 1.01), total (RR, 0.77; 95% CI 0.44 to 1.32) and major (RR, 0.55; 95% CI 0.24 to 1.30) complications prevalence. There was also association with reduced mortality (RR, 0.48; 95% CI 0.18 to 1.29) and hospital length of stay (mean difference, MD, -0.09; 95% CI -0.43 to 0.44). However, none were statistically significant.Conclusion: This systematic review indicates that implementation of AMS may have a positive impact on early deterioration detection and associated clinical outcomes, but differing design/quality of available studies and diversity of outcomes measures limits a definite conclusion. Our narrative findings suggested that alarms should be adjusted to minimise false alerts and promote rapid clinical action in response to deterioration.PROSPERO Registration number: CRD42020188633

scholarly journals Postoperative Respiratory Impairment Is a Real Risk for Our Patients: The Intensivist’s Perspective

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Vidya K. Rao ◽  
Ashish K. Khanna
Keyword(s):  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Postoperative Monitoring ◽  
Respiratory Impairment ◽  
Monitoring Strategies ◽  
Downstream Effects ◽  
Real Risk ◽  
Anesthetic Risk ◽  
Preoperative Risk Stratification ◽  
The Impact

Postoperative respiratory impairment occurs as a result of a combination of patient, surgical, and management factors and contributes to both surgical and anesthetic risk. This complication is challenging to predict and has been associated with an increase in mortality and hospital length of stay. There is mounting evidence to suggest that patients remain vulnerable to respiratory impairment well into the postoperative period, with the vast majority of adverse events occurring during the first 24 hours following discharge from anesthesia care. At present, preoperative risk stratification scores may be able to identify patients who are particularly prone to respiratory complications but cannot consistently and globally predict risk in an ongoing fashion as they do not incorporate the impact of intra- and postoperative events. Current postoperative monitoring strategies are not always continuous or comprehensive and do not dependably identify all cases of respiratory impairment or mitigate their sequelae, which may be severe and require the use of increasingly limited intensive care unit resources. As a result, postoperative respiratory impairment has the potential to cause significant downstream effects that can increase cost and adversely impact the care of other patients.

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