scholarly journals Decreasing Readmissions in Medically Complex Children

2020 ◽  
Author(s):  
◽  
Colleen Bartlett
Keyword(s):  
Medication Reconciliation ◽  
Hospital Readmissions ◽  
Outcome Evaluation ◽  
Evidence Based ◽  
Post Discharge ◽  
Readmission Rates ◽  
Hospital System ◽  
Practice Problem ◽  
Telephone Calls

Practice Problem: There was a report of an existing practice problem of increased 30-day readmission rates in medically complex children at an outpatient clinic within an extensive hospital system. Hospital readmissions can cause clinical, social, and financial burdens to the patients and their families and thus reflected a need for interventions to reduce readmissions. PICOT: The PICOT question that guided this change project: In medically complex pediatric patients ages 0-17, what is the effect of a discharge intervention bundle in reducing all-cause 30-day hospital readmissions compared to current practice within an 8-week timeframe? Evidence: The literature revealed 18 pertinent studies that fit the inclusion and exclusion criteria that promoted a discharge intervention bundle. The themes within the evidence included post-discharge telephone calls, follow-up appointments, medication reconciliation, and education with teach-back to reduce overall readmission rates. Intervention: The evidence-based intervention utilized the bundle of post-discharge telephone calls within 72 hours, follow up appointments within 7 days, and medication reconciliation with education and teach-back through in-person and virtual care. The clinic nurses championed the intervention and tracked all the data using a check sheet. Outcome: Evaluation of the outcome measures confirmed a decrease in all-cause 30-day readmissions from 23% to 14.5% within the project timeframe. Implications of the findings support the existing evidence for implementing a multifaceted bundle to decrease readmissions. Conclusion: The evidence-based change project decreased all-cause 30-day readmissions rates. The results of the project proved that implementing consistent discharge standards in medically complex children helped guide medical staff, improved patient outcomes, saved costs to the organization, and reduced 30-day all-cause hospital readmissions.

scholarly journals Successful care transitions for older people: a systematic review and meta-analysis of the effects of interventions that support medication continuity

2020 ◽  
Vol 49 (4) ◽  
pp. 558-569 ◽  
Author(s):  
Justine Tomlinson ◽  
V-Lin Cheong ◽  
Beth Fylan ◽  
Jonathan Silcock ◽  
Heather Smith ◽  
...  
Keyword(s):  
Hospital Readmission ◽  
Older Patients ◽  
Medication Reconciliation ◽  
Meta Analysis ◽  
Hospital Readmissions ◽  
Transitions Of Care ◽  
Self Management ◽  
Multiple Time ◽  
Post Discharge

Abstract Background medication-related problems occur frequently when older patients are discharged from hospital. Interventions to support medication use have been developed; however, their effectiveness in older populations are unknown. This review evaluates interventions that support successful transitions of care through enhanced medication continuity. Methods a database search for randomised controlled trials was conducted. Selection criteria included mean participant age of 65 years and older, intervention delivered during hospital stay or following recent discharge and including activities that support medication continuity. Primary outcome of interest was hospital readmission. Secondary outcomes related to the safe use of medication and quality of life. Outcomes were pooled by random-effects meta-analysis where possible. Results twenty-four studies (total participants = 17,664) describing activities delivered at multiple time points were included. Interventions that bridged the transition for up to 90 days were more likely to support successful transitions. The meta-analysis, stratified by intervention component, demonstrated that self-management activities (RR 0.81 [0.74, 0.89]), telephone follow-up (RR 0.84 [0.73, 0.97]) and medication reconciliation (RR 0.88 [0.81, 0.96]) were statistically associated with reduced hospital readmissions. Conclusion our results suggest that interventions that best support older patients’ medication continuity are those that bridge transitions; these also have the greatest impact on reducing hospital readmission. Interventions that included self-management, telephone follow-up and medication reconciliation activities were most likely to be effective; however, further research needs to identify how to meaningfully engage with patients and caregivers to best support post-discharge medication continuity. Limitations included high subjectivity of intervention coding, study heterogeneity and resource restrictions.

scholarly journals Successful hospital readmission reduction initiatives: Top five strategies to consider implementing today

2018 ◽  
Vol 7 (5) ◽  
pp. 16 ◽  
Author(s):  
Bita A. Kash ◽  
Juha Baek ◽  
Ohbet Cheon ◽  
Nana E. Coleman ◽  
Stephen L. Jones
Keyword(s):  
Hospital Readmission ◽  
Discharge Planning ◽  
Hospital Readmissions ◽  
Post Discharge ◽  
Readmission Rates ◽  
Effective Interventions ◽  
Hospital Readmission Rates ◽  
Weighted Means ◽  
Pubmed Database

Only one quarter of U.S. hospitals demonstrated low enough levels of 30 day readmission rates to avoid penalties imposed by the Hospital Readmissions Reduction Program (HRRP) in 2016. Previous work describes interventions for reducing hospital readmission rates; however, without a comprehensive analysis of these interventions, healthcare leaders cannot prioritize strategies for implementation within their healthcare environment. This comparative study identifies the most effective interventions to reduce unplanned 30-day readmissions. The MEDLINE-PubMed database was used to conduct a systematic review of existing literature about interventions for 30-day readmission reduction published from 2006 through 2017. Data were extracted on hospital type, setting, disease type, intervention type, study sample, and impact level. Of 4,886 citations, 508 articles were reviewed in full-text, and 90 articles met the inclusion criteria. Based on the three analytic methodologies of means, weighted means, and pooled estimated impact level, the most effective interventions to reduce unplanned 30-day admissions were identified as collaboration with clinical teams and/or community providers, post-discharge home visits, telephone follow-up calls, patient/family education, and discharge planning. Commonly, all five interventions identify patient level engagement for success. The findings reveal the need for shared accountability towards desired outcomes among health systems, providers, and patients while providing hospital leaders with actionable strategies that can effectively reduce 30-day readmission rates.

scholarly journals Reducing Stroke Readmission Through the Implementation of Telehealth

2021 ◽  
Author(s):  
◽  
Leilani Hermosura
Keyword(s):  
Readmission Rate ◽  
Hospital Setting ◽  
Outcome Data ◽  
Stroke Patients ◽  
Post Discharge ◽  
Readmission Rates ◽  
Discharge Care ◽  
Practice Problem ◽  
The Impact

Practice Problem: Readmission occurs frequently among patients with stroke and because of this, the Centers for Medicare and Medicaid Services (CMS) have imposed programs to reduce 30-day readmissions among hospitals. The health care system must respond with transition of care, especially during the period of recent stroke to improve patient outcomes. PICOT: The PICOT question that guided this project was among patients with a recent diagnosis of stroke (P), what is the effect of a telehealth appointment with a nurse practitioner (NP) for post discharge follow-up (I), compared to a standard face-to-face clinic appointment (C), on 30-day readmissions rates (O), within two months (T)? Evidence: Stroke is the fourth leading cause of death and has a readmission rate of 14%. Past studies have demonstrated the effectiveness of telehealth in treating patients outside of the hospital setting, which suggests the potential of telehealth on post-discharge follow-up care. Intervention: To assess the impact of telehealth on 30-day readmission rates, stroke patients received a telehealth follow-up phone visit by a NP within ten days of being discharged to home. Outcome: Data was collected from participant’s electronic health records (EHR) and discharge databases from October 13 to November 13, 2020. Among participants, the implementation of telehealth visits demonstrated a reduced readmission rate of 6.25% for stroke patients. Conclusion: Telehealth is an effective, sustainable, and widely implementable strategy to provide post-discharge care to patients. This study outlined a framework to further analyze the effectiveness of telehealth visits in reducing 30-day readmission rates among stroke patients.

Abstract T P341: Transitions of Care: Increasing Follow-up and Decreasing Readmission Rates After Hospitalization for Acute Ischemic Stroke

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Joyce Maygers ◽  
Erin Lawrence ◽  
Cheryl Woolford ◽  
Rafael H Llinas ◽  
Elisabeth B Marsh
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Hospital Readmissions ◽  
Case Manager ◽  
Stroke Survivors ◽  
Post Discharge ◽  
Readmission Rates ◽  
Discharge Plan ◽  
Neurology Clinic

Background: Acute ischemic stroke accounts for nearly 800,000 inpatient hospitalizations annually in the United States. Post-discharge disposition varies greatly among stroke survivors. The transition to home or nursing facilities post-hospitalization provides an opportunity to improve quality of life; but also increases the potential for miscommunication between patients, care givers, and health care providers. This may result in the need for hospital readmission, which further complicates patient care. A timely post-discharge neurology clinic visit would be the ideal forum to address miscommunication and reduce readmission. Without dedicated infrastructure, it is difficult to see patients quickly, resulting in a poor follow-up rate. Our Stroke Center sought to improve transitions for stroke survivors with the addition of a neurology nurse case manager, creation of a targeted post-discharge plan, and implementation of the Bayview Stroke Intervention Clinic (BaSIC). Methods: Beginning in September 2013, all patients admitted with acute ischemic stroke were assessed by our case manager prior to discharge and a specific post-discharge plan was developed including a plan for follow-up within 4-6 weeks. This was achieved with the implementation of a weekly neurology clinic dedicated to post-stroke care, staffed by two cerebrovascular neurologists. To gauge the effectiveness of our intervention to improve follow-up rates and decrease hospital readmissions, we retrospectively compared stroke patients discharged in fiscal year 2013 (prior to implementation) to those discharged in 2014. Annual readmission rates as well as follow-up rates in neurology clinic at 30, 60 and 90 day post-discharge intervals were assessed. Results: With implementation of targeted post-discharge planning and BaSIC clinic, the 30 day follow-up rate (2.6% pre versus 8.4% post; p=0.01), 60 day follow-up rate (8.3% pre versus 16% post; p=0.01), and 90 day follow-up rate (14.4% pre versus 20.6% post; p=0.10) all improved. Hospital readmissions fell from 10.5% to 8.7% (p=0.63). Conclusion: Implementation of a targeted post-discharge plan and specialized stroke follow-up clinic decreases readmissions and increases follow-up visits with neurology.

Abstract TP198: Reducing Stroke Readmissions

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Jessica Douglas ◽  
Heather Ramsey ◽  
Kelly Venters ◽  
Amber Parker
Keyword(s):  
Primary Care ◽  
Hospital Care ◽  
Negative Impact ◽  
Hospital Readmissions ◽  
Phone Call ◽  
Healthcare Organizations ◽  
Post Discharge ◽  
Readmission Rates ◽  
Call Process

Background and Purpose: Hospital readmissions have become a priority focus for healthcare organizations. According to the Centers for Medicare and Medicaid, 20% of all patients who are discharged from a hospital will be readmitted within thirty days (CMS, 2015). This not only has a negative impact for the patient, but also imposes a financial impact on the healthcare organization. Baseline data from 2014 at Lake Cumberland Regional Hospital (LCRH) showed a stroke readmission rate of 9.6%. The purpose was to decrease stroke readmissions through development of a discharge call process that targets risk factors for readmission and ensures transition from hospital care to post-discharge follow-up. Methods: The discharge call process was implemented in June 2014. Calls were conducted by the facility’s stroke educator. All stroke program participants excluding discharges to nursing homes, rehabilitation center, or hospice were included in the discharge call process. Minimally, 3 attempts per patient were made to conduct the phone call within 3 days of discharge. In addition, the Lake Cumberland Area Stroke Support Group was established in May 2016 for stroke survivors and their caregivers. Results: Stroke readmission rates at LCRH decreased to 7.9% in 2015 and further declined to 1.6% as of 2nd quarter 2016. Interventions completed as a result of the discharge phone call process include: expediting follow-up appointments, collaborating with primary care practitioner for needed prescriptions, clarifying discharge instructions, reinforcing stroke education, and scheduling additional follow-up calls to provide assistance when needed. Conclusions: Stroke readmission rates decreased from 9.6% in 2014 to 1.6% through second quarter of 2016. Multiple opportunities were discovered to close the communication gap between hospital care and primary care follow-up. Maintaining contact post-discharge is needed to transition from the hospital to home care.

scholarly journals Impact of pharmacist-conducted anticoagulation patient education and telephone follow-up on transitions of care: a randomized controlled trial

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lamis R. Karaoui ◽  
Elsy Ramia ◽  
Hanine Mansour ◽  
Nisrine Haddad ◽  
Nibal Chamoun
Keyword(s):  
Tertiary Care ◽  
Intervention Group ◽  
Bleeding Event ◽  
Transitions Of Care ◽  
Control Group ◽  
Published Data ◽  
Post Discharge ◽  
Readmission Rates ◽  
The Impact

Abstract Background There is limited published data in Lebanon evaluating the impact of supplemental education for anticoagulants use, especially DOACs, on clinical outcomes such as bleeding. The study aims to assess the impact of pharmacist-conducted anticoagulation education and follow-up on bleeding and readmission rates. Methods This study was a randomized, non-blinded interventional study conducted between August 2017 and July 2019 in a tertiary care teaching Lebanese hospital. Participants were inpatients ≥18 years discharged on an oral anticoagulant for treatment. Block randomization was used. The control group received the standard nursing counseling while the intervention group additionally received pharmacy counseling. Phone call follow-ups were done on day 3 and 30 post-discharge. Primary outcomes included readmission rates and any bleeding event at day 3 and 30 post-discharge. Secondary outcomes included documented elements of education in the medical records and reported mortality upon day 30 post-discharge. Results Two hundred patients were recruited in the study (100 patients in each study arm) with a mean age of 73.9 years. In the pharmacist-counseled group, more patients contacted their physician within 3 days (14% versus 4%; p = 0.010), received explicit elements of education (p < 0.001) and documentation in the chart was better (p < 0.05). In the standard of care group, patients were more aware of their next physician appointment date (52% versus 31%, p < 0.001). No difference in bleeding rates at day 3 and 30 post-discharge was observed between the groups. Conclusions Although pharmacist-conducted anticoagulation education did not appear to reduce bleeding or readmission rates at day 30, pharmacist education significantly increased patient communication with their providers in the early days post-discharge. Trial registration Lebanon Clinical Trial Registry LBCTR2020033424. Retrospectively registered. Date of registration: 06/03/2020.

Abstract TP366: Significant Reduction in Readmission Using Transitions Nurse

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Kiersten Espaillat ◽  
Paula Buckner
Keyword(s):  
Hospital Discharge ◽  
Transitional Care ◽  
Medical Center ◽  
Hospital Readmissions ◽  
Primary Diagnosis ◽  
Adult Patients ◽  
Care Coordinator ◽  
Readmission Rates ◽  
Before And After

In an effort to reduce early hospital readmissions, Vanderbilt University Medical Center (VUMC) implemented a transitional care coordinator (TCC) to provide careful coordinated follow up care for stroke patients after hospital discharge. The aim of this study is to compare all cause thirty- day readmission rates of adult patients with a primary diagnosis of stroke before and after the implementation of a stroke services TCC. All adult patients admitted to VUMC with a primary diagnosis of stroke; ischemic, hemorrhagic, and TIA; and readmitted within the first thirty days following hospital discharge between January-June of 2015, 2016, 2017, & 2018 were analyzed. Readmission data from 2015 & 2016, prior to the implementation of the TCC was compared to readmission data from 2017 & 2018, after the TCC was implemented. A total of 1911 charts were reviewed for the timeframe January-June of 2015-2018. In 2015 there were 369 stroke admissions and 120 (33%) were readmitted and in 2016 there were 474 stroke admissions and 112 (24%) readmissions, before the TCC role was implemented. In 2017 there were 540 stroke admissions and 62 (11%) were readmitted and in 2018 there were 528 stroke admissions and 74 (14%) readmissions, after the TCC role was implemented. Hospital readmissions were reduced significantly after implementing a TCC.

Abstract TP288: Overcoming Obstacles Making People Healthy (OOMPH): A Patient Centered Post Discharge Follow-up Program for Stroke Patients

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Jonathan Muller ◽  
Barbara Gatton ◽  
Linda Fox ◽  
Joseph A Bove ◽  
Johanna Donovan Turner ◽  
...  
Keyword(s):  
Support Groups ◽  
Medical Information ◽  
Patient Adherence ◽  
Hospital Readmissions ◽  
Phone Call ◽  
Stroke Patients ◽  
Post Discharge ◽  
Phone Calls ◽  
Stroke Support Groups

Background and Purpose: At least 12% of stroke patients are readmitted to a hospital within 30 days of discharge. We know that patients hospitalized for other conditions are less likely to be readmitted within 30 days if they are seen by their PCP shortly after discharge. However, less than a third of patients in the New York metropolitan area admitted for heart failure, heart attacks, and pneumonia see their PCP within 14 days after discharge and nearly 40% of patients do not adhere to their prescribed regimen. In the case of cerebrovascular diseases, outpatient follow-up may prevent the majority of avoidable readmissions. The purpose of this project is to identify and reduce unnecessary, unplanned hospital readmissions after stroke. Our goal is to encourage patient adherence to prescribed medication and other therapies, as well as to ensure timely follow-up with their PCP. Methods: Stroke and transient ischemic attack (TIA) patients with a disposition of either home or short-term rehabilitation are visited and offered enrollment. Participants are given a kit which includes a personalized binder (to manage essential medical information) and a 28-slot pill box. Each patient then receives 3 phone call interviews at 7, 21 and 32 days after discharge. The aim of the phone calls is to identify obstacles to compliance with treatment regimen and follow-up care. Results: From January 2015 to June 2016, 247 patients were enrolled and followed up. Within 30 days of discharge, 10% were readmitted and 50% of all readmissions occurred within the first 7 days. Of those readmitted, 19% were due to an injury from physical therapy. Data from follow-up phone calls revealed that 83% were taking all prescribed medications, 89% had completed a follow-up with any physician, 69% were using the binder, and 61% had done all three. Conclusions: While we have not enrolled enough patients to see a statistically significant reduction in readmissions, our interviews showed that weather, depression, as well as a lack of insurance, family support, and a home health aide are all determinants on how patients will follow their prescribed regimen. The results of this study have allowed us to begin implementing stroke support groups and pre-discharge follow-up appointment scheduling.

Abstract 14996: Healthcare Resource Utilization and Costs in Congestive Heart Failure 90-day Episodes Within the Bundled Payment for Care Initiative (BPCI) Model 2, 2016-2018

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Xian Shen ◽  
Gabriel Sullivan ◽  
Mark Adelsberg ◽  
Martins Francis ◽  
Taylor T Schwartz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Hospital Stay ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Angiotensin Receptor ◽  
Post Discharge ◽  
Readmission Rates ◽  
Hospital Readmission Rates ◽  
Initial Hospital

Introduction: Congestive heart failure (HF) is the fourth most commonly selected clinical episode among Model 2 participants of the Medicare Bundled Payments for Care Improvement (BPCI) Initiative. This study describes utilization of pharmacologic therapies, hospital readmission rates, and HF episode costs within the BPCI framework. Methods: The 100% sample of Medicare FFS enrollment/claims were used to identify acute hospital stays with a MS-DRG 291/292/293 between 1JAN2016 and 31DEC2018. A HF episode consisted of the initial hospital stay and all Part A & B covered services up to 90-days post-discharge. Prescription fills for angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), or angiotensin receptor-neprilysin inhibitors (ARNI) during the 90 days post-discharge were captured. Rates of all-cause and HF readmissions were reported per 10,000 episodes during the 30-, 60-, and 90-days post-discharge period. Total episode costs were defined as the sum of Medicare payments for the initial hospital stay plus all Part A & B covered medical services in the 90-day post-discharge. Results: The sample included 634,307 HF episodes. Patients received ARNIs in 3%, ACEIs/ARBs in 45%, and neither in 52% of the episodes, respectively. All-cause hospital readmission rates were 2,503, 4,465, and 6,368 per 10,000 episodes during the 30-, 60-, and 90-day periods. The 30-, 60-, and 90-day HF readmission rates were 958, 1,696, and 2,394 per 10,000 episodes. Total mean 90-day episode cost was $20,122, of which $8,002 was attributable to hospital readmissions. Conclusions: Hospital readmissions are frequent for HF patients and contribute a notable proportion of overall HF BPCI episode costs. BPCI participants may consider improving utilization of guideline directed medical therapies for HF, including ACEIs/ARBs and ARNI, as a strategy for reducing hospital readmissions and associated costs.

scholarly journals Implementation and Evaluation of a Team-Based Approach to Hospital Discharge Transition of Care

PRiMER ◽  
2021 ◽  
Vol 5 ◽  
Author(s):  
Matthew Van De Graaf ◽  
Hemal Patel ◽  
Brynn Sheehan ◽  
Jennifer Ryal
Keyword(s):  
Hospital Discharge ◽  
Transitional Care ◽  
Data Extraction ◽  
Hospital Readmissions ◽  
Cost Of Care ◽  
Phone Call ◽  
Readmission Rates ◽  
The Cost ◽  
Discharge Transition

Background: Transitional care management (TCM) programs guide patients from hospital discharge to outpatient follow-up with the goal to decrease hospital readmissions and the cost of care. In 2017, the department of primary care internal medicine (PCIM) at Eastern Virginia Medical Group implemented TCM. We aimed to evaluate the efficacy and self-sustainability of this TCM program. Methods: The TCM team contacted patients upon discharge to schedule the follow-up appointment. We coded patient contact as (1) no successful phone-call contact, patient did not attend appointment; (2) successful phone-call contact, patient did not attend appointment; and (3) patient attended appointment. We collected patient demographics, readmissions, and visit costs using manual chart review and electronic health record (EHR) data extraction. We conducted χ2 analysis, one-way analysis of variance, and unpaired t tests to assess associations between readmission rates or costs and TCM care. Results: Initial analysis did not indicate significant associations between readmission rates and level of TCM care at 30 (χ2=1.40, P=.50), 60 (χ2=5.48, P=.06), or 90 (χ2=4.23, P=.12) days or significant differences in patient charges at 30 (F[2,59]=2.85, P=.06), 60 (F[2,91]=2.00, P=.14), or 90 (F[2,126]=1.39, P=.25) days. Follow-up analysis indicated significant associations between readmission rates and any level of TCM care at 60 (χ2=5.40, P=.02) and 90 (χ2=4.21, P=.04) days, but not at 30 days (χ2=1.39, P=.28). Conclusions: Our TCM program review suggests that the benefits of transitional care extend beyond 30 days by decreasing readmission rates at 60 and 90 days after hospital discharge.

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