Reduction In 30-day Readmission Rates Research Articles

#2657 Evaluation of the impact of a nephrologist led acute kidney Injury clinic in a large district general hospital

Abstract Background and Aims Acute kidney injury (AKI) has a significant impact on inpatient hospital admissions costing the NHS in the UK an estimated £1bn. Hospitalisation complicated by AKI results in increased length of stay and mortality and up to a fifth of discharged patients are readmitted to hospital within 30 days. Traditionally district general hospitals in the UK have limited nephrology cover. In our large district general hospital, a new nephrologist led AKI clinic was established to review patients whose inpatient admissions were complicated by a stage 2 or 3 AKI. Over a 7-month period the aim was to evaluate this new clinic and its impact for local patients and the hospital trust. Method Inpatients with stage 2 and 3 AKI were identified by a specialist AKI nurse and nephrologist as suitable for the clinic. A discharge summary was generated with the stage and cause of AKI. Patients were seen within 6 weeks of discharge by either a nephrologist or a specialist AKI nurse. Data was retrospectively collected, and this included diagnosis, causes of AKI, highest stage of AKI, progression of chronic kidney disease (CKD) and referral to tertiary chronic kidney disease services. Using the hospital's own AKI dashboard, we looked at 30-day readmission rates of all AKIs and overall hospital length of stay over this period. Results Retrospective data was collected for 245 patients who attended the clinic over 7 months. 43.9% had a stage 3 AKI, 41.4% had a stage 2 AKI, the remainder of patients were CKD patients with progression or had an underlying glomerular pathology. The most common cause for AKI was hypovolaemia (41.8%) followed by infection/sepsis (37.7%). Most AKIs fully resolved (58.1%), 7% of patients had not resolved and 27% partially resolved. 12.3% of patients were referred onto nephrology tertiary services. Over the course of the 7 months, the trend of 30-day readmission rates dropped from 18.2% to 10.1% (Fig. 1). There was no significant change in hospital length of stay. Conclusion The nephrology led AKI clinic has had a meaningful impact in our post discharge patient care. We have been able to review patients in a timely manner providing them with a holistic approach. A significant number of patients were identified and referred early for specialist tertiary CKD management. Over the 7-month period there was a reduction in 30-day readmission rates however it has not yet affected overall length of stay. This study supports a nephrologist led AKI clinic in a district general hospital.

Impact of Pharmacist Transitions of Care on 30-Day Readmissions Within a Primary Care-Based Accountable Care Organization.

Previous studies in the ambulatory care setting have shown inconsistent results in regard to, or with respect to pharmacist telephonic transitions of care (TOC) encounters and reduction in 30-day readmission rates. No studies that have been completed within an accountable care organization (ACO) evaluating the impact of telephonic TOC encounters performed by a pharmacist have been identified. The objective of this study was to analyze the impact of clinical pharmacy telephonic TOC encounters on readmission rates within a primary care-based ACO. In this retrospective chart review, data for those who had a pharmacist telephonic TOC encounter and those who had an attempt were collected. The primary outcome of this study was all-cause 30-day readmission rate. Secondary outcomes included 30-day readmission rate for targeted disease states, time to readmission, and readmission reason the same as previous discharge reason. For subjects who received a telephonic TOC encounter, pharmacist intervention type and provider acceptance of intervention(s) were described. For the final analysis, 154 encounters were included, 83 encounters in the telephonic TOC encounter group, and 71 did not receive a telephonic TOC encounter. The 30-day readmission rates were similar among those who received a telephonic TOC encounter and those who did not: the difference was not significant (15.7% vs. 28.2%; P = 0.059). There was also no statistical difference in the secondary outcomes. Even so, the results of this study suggest that performing a pharmacist telephonic TOC encounter in a primary care-based ACO setting has the potential to reduce 30-day readmission rates and further research appears to be warranted in this important area of practice.

Patient Safety and Suitability for Primary Cleft Lip Repair as Day Case Surgery - A Systematic Review and Meta-Analysis.

To perform a systematic review and meta-analysis to determine if day case cleft lip surgery has an impact on complications and 30-day readmission rate. A systematic review was conducted using PRISMA guidelines. Databases included; PubMed, Science Direct, Ovid and Cochrane. Search terms; "Day Case", "Day Care", "outpatient", "Ambulatory" AND "Cleft", "Cleft Lip". Meta-analysis was performed using RevMan 5. Eligible study types included; randomised controlled trials, observational studies (prospective and retrospective) and case series. Paediatric patients undergoing primary cleft lip repair. Day case surgery versus inpatient admission post-operative. Primary outcome measure: Primary cleft lip repair performed as a day case in paediatric patients. Secondary outcome measures: 1. Complication rates and 30-day re-admission to hospital rate. 2. Patient suitability for day case surgery. Ten papers with 13 804 patients undergoing primary cleft lip repair were included, 28% were discharged on the day of surgery (Range 17%-81%). There was no significant difference in complication rate between the inpatient and day case cohorts. There was a significant reduction in 30-day readmission rates in the day case cohort. This meta-analysis indicates there is no difference in complication rates for patients discharged on the day of surgery compared to those admitted overnight. Complications encountered were infrequent, non-life threatening and often occurred more than 24 h following discharge. There was an observed reduction in 30-day readmission rates for day-case patients. This is likely to represent a variation in baseline characteristics which deemed them suitable for day case surgery pre-operatively.

Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks.

Reduction in 30-day readmission rate is an important quality factor for hospitals as it can reduce the overall cost of care and improve patient post-discharge outcomes. While deep-learning-based studies have shown promising empirical results, several limitations exist in prior models for hospital readmission prediction, such as: (a) only patients with certain conditions are considered, (b) do not leverage data temporality, (c) individual admissions are assumed independent of each other, which ignores patient similarity, (d) limited to single modality or single center data. In this study, we propose a multimodal, spatiotemporal graph neural network (MM-STGNN) for prediction of 30-day all-cause hospital readmission, which fuses in-patient multimodal, longitudinal data and models patient similarity using a graph. Using longitudinal chest radiographs and electronic health records from two independent centers, we show that MM-STGNN achieved an area under the receiver operating characteristic curve (AUROC) of 0.79 on both datasets. Furthermore, MM-STGNN significantly outperformed the current clinical reference standard, LACE+ (AUROC=0.61), on the internal dataset. For subset populations of patients with heart disease, our model significantly outperformed baselines, such as gradient-boosting and Long Short-Term Memory models (e.g., AUROC improved by 3.7 points in patients with heart disease). Qualitative interpretability analysis indicated that while patients' primary diagnoses were not explicitly used to train the model, features crucial for model prediction may reflect patients' diagnoses. Our model could be utilized as an additional clinical decision aid during discharge disposition and triaging high-risk patients for closer post-discharge follow-up for potential preventive measures.

Health service planning to assess the expected impact of centralising specialist cancer services on travel times, equity, and outcomes: a national population-based modelling study

Centralisation of specialist cancer services is occurring in many countries, often without evaluating the potential impact before implementation. We developed a health service planning model that can estimate the expected impacts of different centralisation scenarios on travel time, equity in access to services, patient outcomes, and hospital workload, using rectal cancer surgery as an example. For this population-based modelling study, we used routinely collected individual patient-level data from the National Cancer Registration and Analysis Service (NCRAS) and linked to the NHS Hospital Episode Statistics (HES) database for 11 888 patients who had been diagnosed with rectal cancer between April 1, 2016, and Dec 31, 2018, and who subsequently underwent a major rectal cancer resection in 163 National Health Service (NHS) hospitals providing rectal cancer surgery in England. Five centralisation scenarios were considered: closure of lower-volume centres (scenario A); closure of non-comprehensive cancer centres (scenario B); closure of centres with a net loss of patients to other centres (scenario C); closure of centres meeting all three criteria in scenarios A, B, and C (scenario D); and closure of centres with high readmission rates (scenario E). We used conditional logistic regression to predict probabilities of affected patients moving to each of the remaining centres and the expected changes in travel time, multilevel logistic regression to predict 30-day emergency readmission rates, and linear regression to analyse associations between the expected extra travel time for patients whose centre is closed and five patient characteristics, including age, sex, socioeconomic deprivation, comorbidity, and rurality of the patients' residential areas (rural, urban [non-London], or London). We also quantified additional workload, defined as the number of extra patients reallocated to remaining centres. Of the 11 888 patients, 4130 (34·7%) were women, 5249 (44·2%) were aged 70 years and older, and 5005 (42·1%) had at least one comorbidity. Scenario A resulted in closures of 43 (26%) of the 163 rectal cancer surgery centres, affecting 1599 (13·5%) patients; scenario B resulted in closures of 112 (69%) centres, affecting 7029 (59·1%) patients; scenario C resulted in closures of 56 (34%) centres, affecting 3142 (26·4%) patients; scenario D resulted in closures of 24 (15%) centres, affecting 874 (7·4%) patients; and scenario E resulted in closures of 16 (10%) centres, affecting 1000 (8·4%) patients. For each scenario, there was at least a two-times increase in predicted travel time for re-allocated patients with a mean increase in travel time of 23 min; however, the extra travel time did not disproportionately affect vulnerable patient groups. All scenarios resulted in significant reductions in 30-day readmission rates (range 4-48%). Three hospitals in scenario A, 41 hospitals in in scenario B, 13 hospitals in scenario C, no hospitals in scenario D, and two hospitals in scenario E had to manage at least 20 extra patients annually. This health service planning model can be used to to guide complex decisions about the closure of centres and inform mitigation strategies. The approach could be applied across different country or regional health-care systems for patients with cancer and other complex health conditons. National Institute for Health Research.

Routine postoperative fluid restriction to prevent syndrome of inappropriate antidiuretic hormone secretion after transsphenoidal resection of pituitary adenoma.

Syndrome of inappropriate antidiuretic hormone secretion (SIADH) is a common problem during the postoperative course after pituitary surgery. Although treatment of this condition is well characterized, prevention strategies are less studied and reported. The authors sought to characterize outcomes and predictive factors of SIADH after implementation of routine postoperative fluid restriction for patients undergoing endoscopic transsphenoidal surgery for pituitary adenoma. In March 2018, routine postoperative fluid restriction to 1000 ml/day for 7 days was instituted for all patients who underwent surgery for pituitary adenoma. These patients were compared with patients who underwent surgery for pituitary adenoma between March 2016 and March 2018, prior to implementation of routine fluid restriction. Patients with preoperative history of diabetes insipidus (DI) or concern for postsurgical DI were excluded. Patients were followed by neuroendocrinologists and neurosurgeons, and sodium levels were checked between 7 and 10 days postoperatively. SIADH was defined by a serum sodium level less than 136 mmol/L, with or without symptoms within 10 days after surgery. Thirty-day readmission was recorded and reviewed to determine underlying reasons. In total, 82 patients in the fluid-unrestricted cohort and 135 patients in the fluid-restricted cohort were analyzed. The patients in the fluid-restricted cohort had a significantly lower rate of postoperative SIADH than patients in the fluid-unrestricted cohort (5% vs 15%, adjusted OR [95% CI] 0.1 [0.0-0.6], p = 0.01). Higher BMI was associated with lower rate of postoperative SIADH (adjusted OR [95%] 0.9 [0.9-1.0], p = 0.03), whereas female sex was associated with higher rate of SIADH (adjusted OR [95% CI] 3.1 [1.1-9.8], p = 0.03). There was no difference in the 30-day readmission rates between patients in the fluid-unrestricted and fluid-restricted cohorts (4% vs 7%, adjusted OR [95% CI] 0.5 [0-5.1], p = 0.56). Thirty-day readmission was more likely for patients with history of hypertension (adjusted OR [95% CI] 5.7 [1.3-26.3], p = 0.02) and less likely for White patients (adjusted OR [95% CI] 0.3 [0.1-0.9], p = 0.04). Routine fluid restriction reduced the rate of SIADH in patients who underwent surgery for pituitary adenoma but was not associated with reduction in 30-day readmission rate.

Collaboration Structures in Integrated Healthcare Delivery Systems: An Exploratory Study of Accountable Care Organizations

Problem definition: This study explores the performance implications of collaboration structures in an integrated healthcare delivery system, namely, an accountable care organization (ACO). ACOs consist of providers from various stages of the care continuum (preacute, acute, and postacute) that voluntarily assume collective responsibility for the quality and cost of care for a defined patient population. Academic/practical relevance: ACOs’ unsatisfied outcomes are largely due to a lack of provider collaboration. There is a dearth of empirical studies on how to develop collaboration structures. Studies in the healthcare operations management primarily have focused on collaboration within a single organization, shedding little light on this problem. We address this issue by exploring two distinct dimensions of collaboration: partnership scope and scale. Partnership scope measures the presence of providers from the preacute, acute, and/or postacute care-continuum stages, whereas partnership scale measures the presence of providers within a single care-continuum stage. Methodology: We assemble a unique data set of provider types, collaboration structures, and system-level performance for 528 Medicare Shared Savings Program (MSSP) ACOs from 2013–2016. To investigate the impact of partnership scope and scale on ACO performance, we then use econometric estimation approaches that account for endogeneity in collaboration structure decisions. ACO performance is measured by experiential quality and 30-day readmission rates. As additional tests, we also investigate our research questions by assembling data sets at both the hospital level (20,975 hospital-year panel data spanning 2009 to 2015) and patient level (859,145 Medicare patients admitted to 39 California hospitals over a four-year period from 2012 to 2015). Results: We find that synergies exist between partnership scope and scale with respect to ACO performance. Specifically, an average-sized ACO can realize 3.2% more improvement in experiential quality and a 6.6% greater reduction in 30-day readmission rates through partnership scope and scale synergies in the preacute care stage. We also show that the benefits of increasing partnership scope are consistent across providers and patient-level analysis. Further, we find that these benefits come at some cost, suggesting an initial cost-quality trade-off when developing collaboration structures. Managerial implications: Our results offer important insights into the healthcare operations management literature on designing effective healthcare delivery systems extending beyond a single organization.

Regional trends of minimally invasive radical hysterectomy for cervical cancer and exploration of perioperative outcomes

IntroductionRadical hysterectomy (RH) with bilateral pelvic lymph node dissection is the standard treatment for early stage cervical cancer which can be performed either by an abdominal or a minimally invasive (MIS) approach. In 2018, Ramirez et al. presented their randomized-controlled trial data which demonstrated that patients who were treated with minimally invasive surgical (MIS) radical hysterectomy (RH) had higher rates of locoregional disease recurrence and lower rates of overall survival when compared to patients treated with an abdominal approach. The objective of this study is to examine the trends in management of patients diagnosed with cervical cancer in New York State (NYS) and to analyze their perioperative outcomes. MethodsUsing the Statewide Planning and Research Cooperative System (SPARCS) Database, patients undergoing RH for early stage cervical cancer in NYS between the years of 2007–2015 were identified and categorized based on surgical approach. Demographic information was collected and multivariable regression was conducted to assess the impact of hysterectomy approach on perioperative outcomes. ResultsIn NYS, 5575 patients were treated with RH for early stage cervical cancer with 3257 (58.4%) treated by abdominal RH and 2318 (41.6%) treated with MIS RH. Between the years of 2007 and 2015, patients diagnosed with cervical cancer treated with MIS RH increased from 25.7% to 48.3% respectively. Surgeons performing MIS RH were more likely to be younger (average age 47.1 vs 49.2, p < 0.001) and have less time elapsed from their fellowship graduation (20.37 vs 22.64 years, p < 0.001). Patients who saw high volume doctors (OR 1.95, CI 1.65–2.31) and were seen in high volume facilities (OR 1.40, CI 1.18–1.65) were more likely to undergo MIS RH compared to abdominal RH. Patients who underwent MIS RH were more likely to be discharged home as opposed to acute rehab or nursing facility, when compared to patients treated with abdominal RH (98.5 vs 94.2% p < 0.001). When analyzing perioperativce outcomes, patient undergoing MIS RH had a 85% decrease in length of hospital stay compared to abdominal RH, a 40% reduction in 30-day readmission rates, and a 10% reduction in hospital costs respectively. DiscussionIn our study period, between the years of 2007 and 2015, the number of cervical cancer cases treated with MIS RH increased from 25.7% to 48.3%. MIS techniques led to a reduction in length of hospital stay, patient readmission rates, and hospital costs. Based on recent data from Ramirez et al., preliminary data demonstrated decrease in MIS RH for treatment of cervical cancer after presentation of the LACC trial and our data confirmed these reported trends in NYS. With this change in surgical practice, there will be associated changes in perioperative outcomes. Moreover, for patients diagnosed with cervical cancer with microscopic disease or previous treatment with an excisions procedure, MIS approach should be considered for improvement in perioperative outcomes as long as oncologic outcomes are not compromised.

An Initiative to Improve 30-Day Readmission Rates Using a Transitions-of-Care Clinic Among a Mixed Urban and Rural Veteran Population.

Hospital readmissions in the United States, especially in patients at high-risk, cost more than $17 billion annually. Although care transitions is an important area of research, data are limited regarding its efficacy, especially among rural patients. In this study, we describe a novel transitions-of-care clinic (TOCC) to reduce 30-day readmissions in a Veterans Health Administration setting that serves a high proportion of rural veterans. In this quality improvement initiative we conducted a pre-post study evaluating clinical outcomes in adult patients at high risk for 30-day readmission (Care Assessment Needs score > 85) discharged from the Iowa City Veterans Affairs (ICVA) Health Care System from 2017 to 2020. The ICVA serves 184,000 veterans across 50 counties in eastern Iowa, western Illinois, and northern Missouri, with more than 60% of these patients residing in rural areas. We implemented a multidisciplinary TOCC to provide in-person or virtual follow-up to high-risk veterans after hospital discharge. The main purpose of this study was to assess how TOCC follow-up impacted the monthly 30-day patient readmission rate. The TOCC resulted in a 19.2% relative reduction in 30-day readmission rates in the 12-month postimplementation period compared to the preimplementation period (9.2% vs 11.4%, P = .04). Virtual visits were more popular than in-person visits among both urban and rural veterans. There was no difference in outcomes between these two follow-up options, and both groups had reduced readmission rates compared to non-TOCC follow-up. A multidisciplinary TOCC within the ICVA featuring both virtual and in-person visits reduced the 30-day readmission rate. This reduction was particularly notable among patients with congestive heart failure.

Relative Clinical Outcomes Comparing Manual and Robotic-Assisted Total Knee Arthroplasty at Minimum 1-Year Follow-up.

Background: Total knee arthroplasty (TKA) demonstrates excellent durability using jig-based manual techniques (manual TKA [mTKA]), but significant rates of dissatisfaction remain. Modifications of mTKA techniques and TKA implant designs to improve outcomes have had minimal success. Studies comparing relative outcomes of mTKA and robotic-assisted TKA (raTKA) are limited. Purpose: This study sought to compare outcomes of mTKA and raTKA in patients at a single institution. Methods: We retrospectively reviewed all primary TKAs performed by 1 surgeon from 2015 to 2017. In all, 139 consecutive mTKAs (2015–2016) and 148 consecutive raTKAs (2016–2017) were included. No cases were excluded. Patient demographics, complications, readmission rates, and clinical and patient-reported outcomes were compared at a minimum of 1-year follow-up. A post hoc student t test and Pearson χ2 test were used for continuous and categorical data. Results: We found that mTKA patients compared with raTKA patients required significantly longer length of stay (LOS) (1.73 vs 1.18 days, respectively), greater morphine milligram equivalents consumption (89.6 vs 65.2, respectively), and increased physical therapy (PT) visits (13.0 vs 11.0, respectively) with increased 30-day readmission rates (4.3 vs 0.7%, respectively) that approached significance. Knee Injury and Osteoarthritis Outcome Score for Joint Replacement and the University of California at Los Angeles activity score did not differ significantly comparing raTKA with mTKA patients at 1 year. There were no differences in complication rates. Conclusion: Significant early clinical benefits were noted with raTKA, including lower opioid requirements, shorter LOS, and fewer PT visits when compared with mTKA. A reduction in 30-day readmission rates was noted with raTKA that was not significant. Excellent clinical results with similar patient-reported outcomes were noted in both groups at 1-year follow-up. Further prospective investigations at longer follow-up intervals comparing these techniques are warranted.

Impact of an electronic medical record-based appointment order on outpatient cardiology follow-up after hospital discharge

Outpatient follow-up after hospital discharge improves continuity of care and reduces readmissions, but rates of follow-up remain low. It is not known whether electronic medical record (EMR)-based tools improve follow-up. The aim of this study was to determine if an EMR-based order to secure cardiology follow-up appointments at hospital discharge would improve follow-up rates and hospital readmission rates. A pre-post interventional study was conducted and evaluated 39,209 cardiovascular medicine discharges within an academic center between 2012 and 2017. Follow-up rates and readmission rates were compared during 2 years prior to EMR-order implementation (pre-order era 2012–2013, n = 12,852) and 4 years after implementation (EMR-order era 2014–2017, n = 26,357). The primary endpoint was 90-day cardiovascular follow-up rates within our health system. In the overall cohort, the mean age of patients was 69.3 years [SD 14.7] and 60.7% (n = 23,827) were male. In the pre-order era, 90-day follow-up was 56.7 ± 0.4% (7286 of 12,852) and increased to 67.9 ± 0.3% (17,888 of 26,357, P < 0.001) in the EMR-order era. The use of the EMR follow-up order was independently associated with increased outpatient follow-up within 90 days after adjusting for patient demographics and payor status (OR 3.28, 95% CI 3.10–3.47, P < 0.001). The 30-day readmission rate in the pre-order era was 12.8% (1642 of 12,852) compared with 13.7% (3601 of 26,357, P = 0.016) in the EMR-order era. An EMR-based appointment order for follow-up appointment scheduling was associated with increased cardiovascular medicine follow-up, but was not associated with an observed reduction in 30-day readmission rates.

The use of clinical decision support in reducing readmissions for patients with heart failure: a quasi-experimental study

Background Heart failure is a chronic, progressive condition which affects over six million Americans and 26 million people worldwide. Evidence-based guidelines, protocols, and decision-support tools are available to enhance the quality of care delivery but are not implemented consistently. Aims To examine the effect of clinical decision-making support during patient discharge on 30-day hospital readmission among patients admitted with heart failure and evaluate provider utilization and satisfaction of clinical decision support tool. Design A quasi-experimental study. Methods An intervention group of hospitalized patients (N = 55) with heart failure were provided the intervention over a 3-month period and compared to the pre-intervention comparison group (N = 109) of patients who did not receive the intervention. An evidence-based discharge checklist and a pocket guide was implemented by an advanced practice nurse to assist health providers with clinical decision making. Descriptive statistics among samples, 30-day readmission rates, and provider utilization and satisfaction were examined. Results Readmission rates slightly decreased (N = 109, 9.2% vs. N = 55, 9.1%) in the post-intervention period, but no significant difference. Heterogeneity between the two groups were minimal related to use of specific medications, age, length-of-stay and comorbidities. Descriptively, there was a significant difference the use of diuretics among each group (p = .002).The discharge checklist was used regularly by 67% of (N = 15) providers, and 93% expressed satisfaction with use. Conclusion There was no significant reduction in 30-day readmission rates between both groups. However, a slight reduction was noted which indicates the need for further examination into how the use of checklists for clinical decision support can reduce readmissions. A well-designed evidence-based discharge plan remains a critical component of the patient discharge process. Advance practice nurses are uniquely qualified to implement evidence-based interventions that promote practice change among health care providers and improve health outcomes.

Evaluation of a Transitional Care Program After Hospitalization for Heart Failure in an Integrated Health Care System

Prompted by null findings from several care transition trials and practice changes for heart failure in recent years, leaders from a large integrated health care system aimed to reassess the outcomes of its 10-year multicomponent transitional care program for heart failure (HF-TCP). To examine the association of the individual HF-TCP components and their bundle with the primary outcome of all-cause 30-day inpatient or observation stay readmissions. This retrospective cohort study included patients enrolled in the HF-TCP during an inpatient encounter for heart failure at 13 Kaiser Permanente Southern California hospitals from January 1, 2013, to October 31, 2018, who were followed up from discharge until 30 days, readmission, or death. Data were analyzed from May 7, 2019, to May 1, 2020, with additional review from September 2 to October 1, 2020. Patients received 1 home health visit or telecare (telephone) visit from a registered nurse within 2 days of hospital discharge, a heart failure care manager call within 7 days, and a clinic visit with a physician or a nurse practitioner within 7 days. Multivariable proportional hazards regression models were used to estimate the probability of 30-day readmission for those who received the individual or bundled HF-TCP components compared with those who did not. A total of 26 128 patients were included; 57.0% were male, and the mean (SD) age was 73 (13) years. The 30-day readmission rate was 18.1%. Both exposure to a home health visit within 2 days of discharge (hazard ratio [HR], 1.03; 95% CI, 0.96-1.10) and a 7-day heart failure case manager call (HR, 1.08; 95% CI, 0.99-1.18) compared with no visit or call were not associated with a lower rate of readmission. Completion of a 7-day clinic visit was associated with a lower readmission rate (HR, 0.88; 95% CI, 0.81-0.94) compared with no clinic visit. There were no synergistic effects of all 3 components compared with clinic visit alone (HR, 1.05; 95% CI, 0.87-1.28). This study found that HF-TCP as a whole was not associated with a reduction in 30-day readmission rates, although a follow-up clinic visit within 7 days of discharge may be helpful. These findings highlight the importance of continuous quality improvement and refinement of existing clinical programs.

Impact of medication bedside delivery program on hospital readmission rates

BackgroundSince the establishment of the Hospital Readmission Reduction Program by the Centers for Medicare and Medicaid Services, reducing readmission rates has been a priority for health care institutions. Many institutions have developed services to combat high readmission rates, including bedside medication delivery programs, which have demonstrated reductions in 30-day readmission rates in patients who used these services. ObjectiveTo evaluate the impact of health system–based bedside medication delivery programs on readmission rates in patients at a low to moderate risk of hospital readmission. MethodsA single-center retrospective cohort study conducted on adult patients of low-to moderate–transitions of care (TOC) risk status with unplanned admissions to a large academic medical center between January 1, 2017, and January 1, 2019 who used the medication bedside delivery service or an outside pharmacy. The TOC risk status was defined using historic institutional definitions. Patients with at least a 2-day hospital stay and who were discharged to home from select primary medical services were included. The primary outcome was 30-day readmission rates between the 2 groups. Secondary outcomes included 60- and 90-day readmission rates and readmission rates stratified by primary medical service and TOC status. Coarsened exact matching was used to account for variation between groups. ResultsThe study evaluated 6583 patients discharged with a total of 3905 patients and corresponding index admissions meeting inclusion criteria for analysis. No statistically significant difference between readmission rates at 30 days after the index admission was found between the medication bedside delivery group and the outside pharmacy group, 7.97% and 10.09%, respectively (P = 0.136). However, the readmission rate of the medication bedside delivery group was statistically significantly lower than that of the outside pharmacy group at 60 and 90 days. ConclusionsThis study suggests that bedside medication delivery programs do not significantly reduce readmission rates at 30 days but may do so at 60 and 90 days.

Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals

BackgroundSevere sepsis and septic shock are among the leading causes of death in the USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis remains one of...

The Race for Readmission Reduction

Background: In 2012, the Centers for Medicare and Medicaid Services began to reduce payments to qualifying hospitals for 30-day readmission rates that were higher than predicted for specific diagnoses. The process was broadened to include skilled nursing facilities in 2018. It is reasonable to expect future expansion will include acute inpatient rehabilitation facilities. A pre-intervention quality improvement project from 2017 identified that patients admitted to an acute inpatient rehabilitation facility (IRF) for the primary diagnosis of debility were readmitted within 30 days of discharge at a rate of 38%, which was nearly three times higher than the next most readmitted diagnosis. A literature review identified rapid primary care provider (PCP) outpatient follow up as a worthy intervention to reduce readmissions. Objectives: Over a six-month intervention period, we attempted to achieve a reduction in 30-day readmission rates in the debility population of an IRF by scheduling PCP follow-ups within seven business days after discharge. Results: Of those that received the intervention, 7% were readmitted (P=0.018). Of those who did not receive the intervention, 56% were readmitted. Conclusion: The adoption of PCP follow-up within seven business days of discharge may lower the 30-day readmission rate for patients admitted to IRF with a primary diagnosis of debility.

Decreasing Heart Failure Readmission's among Elderly Patients with Cognitive Impairment by Engaging Family

Background Higher 30-day readmission rates have been documented in older patients with cognitive impairment (CI) and heart failure (HF). Objective To determine whether readmission rates are related primarily to HF severity or may be modified by inclusion of caregivers in nursing discharge education. Methods Prospective QI program of cognitive testing and inclusion of caregivers in discharge education. Retrospective chart review for outcomes. Setting: Academic tertiary care hospital, two cardiovascular units with enhanced discharge education program. PARTICIPANTS: 232 patients age greater than 70 with diagnosis of HF screened for CI with documentation whether education included caregivers. Individuals with ventricular assist devices, transplant, or hospice excluded. INTERVENTIONS: Patients were screened for CI using Mini-Cog, if score Results No differences in measures of HF severity between those with normal and abnormal Mini-Cog ( Conclusions Patients age greater than 70 with HF and CI had two-fold reduction in 30-day readmission rates when caregivers were involved in discharge education. No differences in HF severity were found in this group of HF patients with normal vs abnormal screens for CI using Mini-Cog. Identification of CI and targeted caregiver engagement appear to be critical in reduction of readmission rates for older HF patients.

ASSESSING THE IMPACT OF A NUTRITION-FOCUSED QUALITY IMPROVEMENT PROGRAM IN CARDIOPULMONARY PATIENTS

Background: Patients with cardiopulmonary diagnoses are at high risk for hospital readmissions and prolonged hospitalizations. Nutrition-focused quality improvement programs (QIPs) can improve the care of malnourished hospitalized patients. Objectives: Data collected previously was analyzed to evaluate the impact of a nutrition-focused QIP on health outcomes in patients with cardiopulmonary diseases. Design: The QIP consisted of malnutrition risk screening, prompt initiation of oral nutritional supplements (ONS), and nutrition education. Setting: A total of 4 hospitals implemented the QIP–2 teaching hospitals and 2 community hospitals. Participants: Eligible QIP participants were hospitalized patients with any diagnosis, 18 years of age or older, at risk for malnutrition at admission, and able to consume food and beverages orally. Measurements: Data collected from the QIP patients was compared to data from historical controls to assess differences in readmission rates and length of stay (LOS). Results: Patients were mainly older adults (66 ± 17.4 years) and non-obese (85%). Univariate analysis showed significant reductions in 30-day readmission rates for the QIP group when compared with the controls (13.9% for QIP vs. 26.4% for controls), with the QIP group experiencing a 55% reduction in the odds of being readmitted (OR = 0.45, p = 0.006). Similarly, a significant reduction in LOS was reported for the QIP group (5.4 ± 5.7 days for QIP vs. 6.8 ± 5.7 days for controls) corresponding to a relative risk reduction (RR) of 20% (RR = 0.80, p = 0.0085). Logistic regression adjusting for patient characteristics showed that the QIP patients were 33% less likely to be readmitted (p = 0.33), and had a 6% RR (RR = 0.94, p = 0.55) in LOS versus controls. Conclusions: Malnourished hospitalized cardiopulmonary patients participating in a nutrition-focused QIP experienced fewer readmissions and improved LOS compared to controls. These results underscore the importance of nutrition-focused interventions as a key part of treatment for cardiopulmonary patients.

1938. Sustained Reduction in 30-Day Readmission Rates After Implementation of an OPAT Program in an Academic Medical Center

BackgroundThe Outpatient Parenteral Antibiotic Therapy Program at the University Of Pittsburgh Medical Center began in December 2013. UPMC Presbyterian is a Level I center consisting of 775 beds (150 ICU beds). Prior to program implementation, the 30-day readmission rate for patients discharged from our facility on an IV antibiotic was 32%.MethodsOur Program is a multidisciplinary team consisting of physicians, advance practice providers, pharmacists, nurses, and coordinators. We use a pharmacist-based monitoring program to review weekly laboratories and adjust dosing through a collaborative practice agreement. ID fellows participate in the management of patients while receiving IV antibiotics. Patients are evaluated one week post discharge and prior to end of therapy in the ID clinic. Weekly laboratories are monitored as per the IDSA Society Guidelines. In addition, all patients all reviewed in our weekly huddle prior to end of therapy. We also conduct a monthly M&M to review readmissions.ResultsOur overall patient population has increased from 847 in 2014 to 1,234 in 2015 to 1,569 in 2016 and 1,512 patients in 2017. Post-implementation, we have demonstrated an ongoing reduction in 30-day readmission rates. In 2014, our rate decreased to 17.2%, in 2015 to 15.6%, in 2016 to 11.5% and in 2017 to 18.5% (see Figure 1). 2,337 (54%) of patients were male; the average age of our patients was 56.4 years. 35% were diabetics; 35% have chronic kidney disease, 25.4% have CAD and 43.7% have HTN. More patients are discharged home (n = 2,246) vs. to a facility (n = 1,583). Over half of our patients receive vancomycin.Figure 1.ConclusionA pharmacist managed OPAT Program can successfully reduce and maintain lower 30-day readmission rates in an academic facility.Disclosures All authors: No reported disclosures.

1941. Comparison of Patient Outcomes in a Pharmacist-Led Outpatient Parenteral Antimicrobial Therapy (OPAT) Program

BackgroundDespite the benefits of OPAT programs, readmission rates of up to 20% have been reported. In November 2016 at Franciscan Alliance Indianapolis, a dedicated pharmacist was assigned to build a formal OPAT program for all patients discharged on IV antimicrobials under the care of the infectious disease physician group. This study juxtaposed 30-day readmission rates and other patient outcomes for patients with and without an OPAT consult in order to assess how the program impacted patient care.MethodsThis was a retrospective cohort study comparing patients discharged on IV antimicrobials between December 1, 2016 and May 31, 2017. These patients were grouped based on whether they had a consult from the OPAT program. Thirty-day readmission rate, antimicrobial selection, discharge disposition, and treatment duration were collected and compared between groups. For the primary objective, at least 87 patients were needed to attain a power of 80% and detect a 30% difference between treatment groups.ResultsOut of 1,502 patients screened, 117 were deemed eligible and included (95 patients with a consult and 22 patients without). No statistically significant difference between the readmission rates of the consult group and the nonconsult group was observed (14.74% vs. 31.80%, P = 0.07). However, the consult group exhibited lower utilization of antipseudomonal coverage (38.95% vs. 86.40%, P < 0.0001) and ceftriaxone (9.47% vs. 45.45%, P < 0.001). Use of agents requiring closer therapeutic drug monitoring was higher in the nonconsult group, specifically vancomycin (86.36% vs. 41.05%, P < 0.001) and gentamicin (6.32% vs. 22.73%, P < 0.05), despite the diminished intensity of follow-up for patients not followed by the service.ConclusionThe OPAT service did not show a statistically significant reduction in 30-day readmission rate during the first 6 months of the program. However, this may have been due to insufficient power to detect the true difference between treatment arms. Additionally, use of the program was associated with improved antimicrobial stewardship through reduced use of antipseudomonal coverage and ceftriaxone. Disclosures All authors: No reported disclosures.