Protocol-Driven Allied Health Post-Discharge Transition Clinic to Reduce Hospital Readmissions in Heart Failure

Key Factors to Consider When Implementing an Advanced Practice Registered Nurse-Led Heart Failure Clinic

Advanced practice registered nurses (APRNs) such as clinical nurse specialists and nurse practitioners excel at chronic disease management. Development of an APRN-led heart failure (HF) clinic is an ideal way to manage complex HF patients. However, there are important factors to consider when implementing an APRN-led HF clinic. The purpose of this paper is to provide a consolidation of recommendations to consider when developing and implementing an APRN-led HF clinic. A review of applicable literature within the last 10 years was conducted to determine the key factors to be considered when developing organizational structures and processes for an APRN-led HF clinic. The increasing need for primary care and internal medicine providers supports using APRNs to fill the gap and provide disease management for HF patients. Also, APRNs can impact the overall costs of HF treatment by optimizing postdischarge care and preventing hospitalizations and readmissions. Multiple studies supported implementation of APRN-led HF clinics for disease management to provide complex treatment strategies and comprehensive care to these patients.

Person-Centered Models for Cardiovascular Care: A Review of the Evidence: A Scientific Statement From the American Heart Association

Cardiovascular disease remains the leading cause of death and disability in the United States and globally. Disease burden continues to escalate despite technological advances associated with improved life expectancy and quality of life. As a result, longer life is associated with multiple chronic cardiovascular conditions. Clinical guidelines provide recommendations without considering prevalent scenarios of multimorbidity and health system complexities that affect practical adoption. The diversity of personal preferences, cultures, and lifestyles that make up one's social and environmental context is often overlooked in ongoing care planning for symptom management and health behavior support, hindering adoption and compromising patient outcomes, particularly in groups at high risk. The purpose of this scientific statement was to describe the characteristics and reported outcomes in existing person-centered care delivery models for selected cardiovascular conditions. We conducted a scoping review using Ovid MEDLINE, Embase.com, Web of Science, CINAHL Complete, Cochrane Central Register of Controlled Trials through Ovid, and ClinicalTrials.gov from 2010 to 2022. A range of study designs with a defined aim to systematically evaluate care delivery models for selected cardiovascular conditions were included. Models were selected on the basis of their stated use of evidence-based guidelines, clinical decision support tools, systematic evaluation processes, and inclusion of the patient's perspective in defining the plan of care. Findings reflected variation in methodological approach, outcome measures, and care processes used across models. Evidence to support optimal care delivery models remains limited by inconsistencies in approach, variation in reimbursement, and inability of health systems to meet the needs of patients with chronic, complex cardiovascular conditions.

Prognostic efficacy of a post-discharge visiting program for patients with heart failure

We aimed to investigate the impact of post-discharge scheduled hospital visits on readmission due to heart failure (HF). In this retrospective study, a total of 245 patients (N = 101 in the scheduled hospital visit group, N = 144 in the non-scheduled hospital visit group) who were alive with free from readmission due to HF for 90 days after discharge were enrolled. The patients had been hospitalized with acute decompensated HF between August 2018 and July 2019. Scheduled hospital visits were recommended 90 days after the patients had been discharged. After checking their self-care adherence, nurse-led self-care maintenance and monitoring were provided. To determine the effectiveness of the scheduled hospital visits, we conducted landmark analyses divided into two periods: Scheduled visits within 180 days, and after 180 days. The readmission rate due to HF within 180 days was lower in the scheduled visit group. In the landmark analysis, the 1-year incidence rate of readmission was significantly lower in patients with a scheduled hospital visit than in those without, in the period within 180 days (2.0% vs 9.0%, P = 0.029) but not after 180 days. After adjusting for age and estimated glomerular filtration rate as confounders, scheduled hospital visits tended to reduce readmission due to HF (P = 0.060); however, readmission was significantly reduced in the period within 180 days (P = 0.007). In conclusion, scheduled hospital visits at 90 days after discharge may be beneficial in delaying readmission due to HF by reducing risk of readmission during the early post-visit period.

Teledermatology to Facilitate Patient Care Transitions from Inpatient to Outpatient Dermatology: a Mixed Methods Evaluation (Preprint)

Background

Both clinicians and patients have increasingly turned to telemedicine to improve care access, even in physical examination–dependent specialties such as dermatology. However, little is known about whether teledermatology supports effective and timely transitions from inpatient to outpatient care, which is a common care coordination gap.

Objective

Using mixed methods, this study sought to retrospectively evaluate how teledermatology affected clinic capacity, scheduling efficiency, and timeliness of follow-up care for patients transitioning from inpatient to outpatient dermatology care.

Methods

Patient-level encounter scheduling data were used to compare the number and proportion of patients who were scheduled and received in-clinic or video dermatology follow-ups within 14 and 90 days after discharge across 3 phases: June to September 2019 (before teledermatology), June to September 2020 (early teledermatology), and February to May 2021 (sustained teledermatology). The time from discharge to scheduling and completion of patient follow-up visits for each care modality was also compared. Dermatology clinicians and schedulers were also interviewed between April and May 2021 to assess their perceptions of teledermatology for postdischarge patients.

Results

More patients completed follow-up within 90 days after discharge during early (n=101) and sustained (n=100) teledermatology use than at baseline (n=74). Thus, the clinic’s capacity to provide follow-up to patients transitioning from inpatient increased from baseline by 36% in the early (101 from 74) and sustained (100 from 74) teledermatology periods. During early teledermatology use, 61.4% (62/101) of the follow-ups were conducted via video. This decreased significantly to 47% (47/100) in the following year, when COVID-19–related restrictions started to lift (P=.04), indicating more targeted but still substantial use. The proportion of patients who were followed up within the recommended 14 days after discharge did not differ significantly between video and in-clinic visits during the early (33/62, 53% vs 15/39, 38%; P=.15) or sustained (26/53, 60% vs 28/47, 49%; P=.29) teledermatology periods. Interviewees agreed that teledermatology would continue to be offered. Most considered postdischarge follow-up patients to be ideal candidates for teledermatology as they had undergone a recent in-person assessment and might have difficulty attending in-clinic visits because of competing health priorities. Some reported patients needing technological support. Ultimately, most agreed that the choice of follow-up care modality should be the patient’s own.

Conclusions

Teledermatology could be an important tool for maintaining accessible, flexible, and convenient care for recently discharged patients needing follow-up care. Teledermatology increased clinic capacity, even during the pandemic, although the timeliness of care transitions did not improve. Ultimately, the care modality should be determined through communication with patients to incorporate their and their caregivers’ preferences.

Quality improvement project to increase screening and referral for biologic therapy for patients with uncontrolled asthma

BACKGROUND

Asthma is a treatable chronic disease of airway inflammation with varying levels of control and severity. Biological therapy is an effective evidence-based treatment for patients with allergic and eosinophilic phenotypes of asthma who are classified as poorly controlled moderate to severe asthma. Yet, evidence-based treatments are infrequently used to support effective care of poorly controlled moderate and severe asthma. This quality improvement (QI) project aimed to increase the number of patients with uncontrolled moderate to severe asthma at an outpatient asthma center who are screened and referred for biologic therapy when appropriate.

METHODS

A guideline-based biologic screening protocol was implemented using plan-do-study-act (PDSA) methodology allowing for a systematic approach for implementation, monitoring and making adjustments. A pre- and post-independent groups comparative design was utilized to evaluate screening and referral data.

RESULTS

Screening improved significantly from pre- (n = 30, 23.8%) to post-implementation (n = 17, 70.8%), p < 0.001; phi = .372. Referrals to biologics also improved from 42.4% (n = 28) to 93.3% (n = 14), p < 0.001; phi = .396. Providers reported increased knowledge, confidence, and satisfaction with the asthma screening protocol at post-implementation.

CONCLUSIONS

The implementation of an asthma screening protocol for asthma patients in an ambulatory center is an effective way of increasing screening for eligibility for biologic therapy. Adhering to the standard of care based on evidence-based guidelines increased access to biologic therapy with a higher percentage of patients being referred for therapy.

Emergency Department Visits Versus Hospital Readmissions Among Patients Hospitalized for Heart Failure

BACKGROUND

Worsening heart failure (HF) often requires hospitalization but in some cases may be managed in the outpatient or emergency department (ED) settings. The predictors and clinical significance of ED visits without admission vs hospitalization are unclear.

METHODS

The ASCEND-HF trial included 2661 US patients hospitalized for HF with reduced or preserved ejection fraction. Clinical characteristics were compared between patients with a subsequent all-cause ED visit (with ED discharge) within 30 days vs all-cause readmission within 30 days. Factors associated with each type of care were assessed in multivariable models. Multivariable models landmarked at 30 days evaluated associations between each type of care and subsequent 150-day mortality.

RESULTS

Through 30-day follow-up, 193 patients (7%) had ED discharge, 459 (17%) had readmission, and 2009 (76%) had neither urgent visit. Patients with ED discharge vs readmission were similar with respect to age, sex, systolic blood pressure, ejection fraction, and coronary artery disease, whereas ED discharge patients had a modestly lower creatinine (P < .01). Among patients with either event within 30 days, a higher creatinine and prior HF hospitalization were associated with a higher likelihood of readmission, as compared with ED discharge (P < .02). Landmarked at 30 days, rates of death during the subsequent 150 days were 21.0% for patients who were readmitted and 11.4% for patients discharged from the ED. Compared with patients who were readmitted, ED discharge was independently associated with lower 150-day mortality (adjusted hazard ratio 0.58, 95% confidence interval 0.36-0.92, P = .02).

CONCLUSIONS

In this cohort of US patients hospitalized for HF, worse renal function and prior HF hospitalization were associated with a higher likelihood of early postdischarge readmission, as compared with ED discharge. Although subsequent mortality was high after discharge from the ED, this risk of mortality was significantly lower than patients who were readmitted to the hospital.

Cardiac Transitional Care Effectiveness: Does Overall Comorbidity Burden Matter?

BACKGROUND

Cardiovascular disease is the most common cause of mortality and hospitalization in the United States. Transitional care initiatives can improve outcomes for cardiac patients, but it is unclear whether patients with different baseline comorbidity burden benefit equally. We evaluated the effectiveness of the Bridging the Discharge Gap Effectively (BRIDGE) program, a nurse-practitioner-led transitional care clinic, in mitigating adverse clinical outcomes in cardiac patients with varying Charlson comorbidity index (CCI).

METHODS

We studied patients referred to BRIDGE between 2008 and 2017 postdischarge for a cardiac condition. Using proportional hazards regression models, we evaluated associations between attendance at BRIDGE and hospital readmission, emergency department (ED) visit, and a composite outcome consisting of readmission, ED visit, or mortality, and assessed interaction between BRIDGE attendance and CCI.

RESULTS

Of 4559 patients, 3256 (71.4%) attended BRIDGE. In patients with low CCI, attendance at BRIDGE was inversely associated with hospital readmission (adjusted hazard ratio = 0.82, 95% confidence interval [CI]: 0.69, 0.97, P = .02) and the composite endpoint (adjusted hazard ratio = 0.84, 95% CI: 0.72, 0.98, P = .02). Associations of BRIDGE attendance with both readmission and ED visit were significantly weaker in patients with high CCI (adjusted P, interaction = .007 and .03, respectively). Overall, BRIDGE attendance was associated with an 11% lower hazard of developing the composite endpoint (95% CI: 2%, 19%, P = .01).

CONCLUSIONS

Attendance at a transitional care clinic is inversely associated with risk of readmission and a composite endpoint in cardiac patients with low CCI. Future research should investigate modified transitional care programs in patients with varying comorbidity burden.

Discharging the complex patient - changing our focus to patients' networks of care providers

Background

A disconnect exists between the idealized model of every patient having a family physician (FP) who acts as the central hub for care, and the reality of health care where patients must navigate a network of different providers. This disconnect is particularly evident when hospitalized multimorbid patients transition back into the community. These discharges are identified as high-risk due to lapses in care continuity. The aim of this study was to identify and explore the networks of care providers in a sample of hospitalized, complex patients, and better understand the nature of their attachments to these providers as a means of discovering novel approaches for improving discharge planning.

Methods

This was a constructivist grounded theory study. Data included interviews from 30 patients admitted to an inpatient internal medicine service of a midsized academic hospital in Ontario, Canada. Analysis and data collection proceeded iteratively with sampling progressing from purposive to theoretical.

Results

We identified network of care configurations commonly found in patients with multiple medical comorbidities receiving care from multiple different providers admitted to an internal medicine service. FPs and specialists form the network’s scaffold. The involvement of physicians in the network dictated not only how patients experienced transitions in care but the degree of reliance on social supports and personal capacities. The ideal for the multimorbid patient is an optimally involved FP that remains at the centre, even when patients require more subspecialized care. However, in cases where a rostered FP is non-existent or inadequate, increased involvement and advocacy from specialists is crucial.

Conclusions

Our results have implications for transition planning in hospitalized complex patients. Recognizing salient network features can help identify patients who would benefit from enhanced discharge support.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06841-2.

Impact of pharmacist and physician collaborations in primary care on reducing readmission to hospital: A systematic review and meta-analysis

BACKGROUND

Readmissions to hospital due to medication-related problems are common and may be preventable. Pharmacists act to optimise use of medicines during care transitions from hospital to community.

OBJECTIVE

To assess the impact of pharmacist-led interventions, which include communication with a primary care physician (PCP) on reducing hospital readmissions.

METHODS

PubMed, EMBASE, Cochrane Central Register of Controlled Trials, CINAHL and Web of Science were searched for articles published from inception to March 2021 that described interventions involving a pharmacist interacting with a PCP in regards to medication management of patients recently discharged from hospital. The primary outcome was effect on all-cause readmission expressed as Mantel-Haenszel risk ratio (RR) derived from applying a random effects model to pooled data. Sensitivity analysis was also conducted to investigate differences between randomised controlled trials (RCTs) and non-RCTs. The GRADE system was applied in rating the quality of evidence and certainty in the estimates of effect.

RESULTS

In total, 37 studies were included (16 RCTs and 29 non-RCTs). Compared to control patients, the proportion of intervention patients readmitted at least once was significantly reduced by 13% (RR = 0.87, CI:0.79-0.97, p = 0.01; low to very low certainty of evidence) over follow-up periods of variable duration in all studies combined, and by 22% (RR = 0.78, CI:0.67-0.92; low certainty of evidence) at 30 day follow-up across studies reporting this time point. Analysis of data from RCTs only showed no significant reduction in readmissions (RR = 0.92, CI:0.80-1.06; low certainty of evidence).

CONCLUSIONS

The totality of evidence suggests pharmacist-led interventions with PCP communication are effective in reducing readmissions, especially at 30 days follow-up. Future studies need to adopt more rigorous study designs and apply well-defined patient eligibility criteria.

Optimization of Heart Failure Patients Discharge Plan in Rajaie Cardiovascular Medical and Research Center: An Action Research

BACKGROUND

Chronic heart failure can lead to frequent hospitalizations. Improving the discharge planning is an approach to reduce hospitalization. Since there has not been enough structured and effective discharge plan in Iranian hospitals, the present study was designed to optimize this program.

METHOD

This is a participatory action research based on Hart and Bond's framework, conducted in a cardiovascular center in Iran from June 2016 to April 2018 during two cycles. Based on the optimization strategies obtained through semi-structured interviews with 15 participants, three focus group discussions and six expert panels, the operational discharge plan, including three areas of patient empowerment, telephone follow-up and home visit, was designed, implemented for three months and evaluated for 23 patients. European Heart Failure Self-Care Behavior Scale and information registration form to record the number of hospitalization and length of hospital stay were used to collect the quantitative data. The non-parametric Wilcoxon test was used to analyze the data by SPSS 16. Qualitative participatory evaluation was performed during a group discussion and analyzed based on qualitative content analysis method with conventional approach P<0.05 was statistically significant.

RESULTS

Considering the solutions provided by the participants, the operational discharge plan was designed and implemented with the cooperation of relevant stakeholders. Evaluation showed significant effects of designed discharge plan on self-care behavior (P<0.001), number of hospitalizations (P<0.001), and length of hospital stay (P<0.001).

CONCLUSION

Changes were made to improve the heart failure patients' discharge plan using action research, which resulted in reduced re-hospitalization and improved self-care behavior.

Captopril Versus Hydralazine-Isosorbide Dinitrate Vasodilator Protocols in Patients With Acute Decompensated Heart Failure Transitioning From Sodium Nitroprusside

BACKGROUND

The role of oral vasodilators in the management of acute decompensated heart failure (ADHF) is not clearly defined. We evaluated the use of captopril vs hydralazine-isosorbide dinitrate (H-ISDN) in the transition from sodium nitroprusside (SNP) in patients with ADHF.

METHODS AND RESULTS

A retrospective chart review was performed of 369 consecutive adult patients in the intensive care unit with ADHF and reduced ejection fraction, who received either a captopril or an H-ISDN protocol to transition from SNP. Captopril patients were matched 1:2 to H-ISDN patients, based on serum creatinine and race (Black vs non-Black). Baseline demographics, serum chemistry and use of angiotensin converting enzyme inhibitors (ACEis) and angiotensin receptor blockers (ARBs) were similar in both groups. Time to SNP discontinuation (46.9 vs 40.4 hours, P = 0.11) and length of hospital stay (9.86 vs 7.99 days, P = 0.064) were similar in both groups. Length of hospital stay in the intensive care unit was statistically shorter in the H-ISDN group (4.11 vs 3.96 days, P = 0.038). Fewer H-ISDN protocol patients were discharged on ACEis/ARBs (82.9 % vs 69.9%, P = 0.003) despite similar kidney function at time of discharge (serum creatinine 1.1 vs 1.2, P = 0.113). No difference was observed in rates of readmission (40.7% vs 50%, P = 0.09) or mortality (16.3% vs 17.5 %, P = 0.77) at 1 year postdischarge.

CONCLUSION

Similar inpatient and 1-year outcomes were observed between patients using H-ISDN vs ACEi when transitioning from SNP, even though fewer H-ISDN protocol patients were discharged taking ACEis/ARBs despite similar kidney function.

Leveraging telemedicine for management of veterans with heart failure during COVID-19

BACKGROUND

Telemedicine and telemonitoring have become invaluable tools in managing chronic diseases, such as heart failure (HF). With the recent pandemic, telemedicine has become the preferred method of providing consultative care.

LOCAL PROBLEM

This rapid paradigm shift from face-to-face (F2F) consultations to telemedicine required a collaborative approach for successful implementation while maintaining quality of care. The processes for conducting a telemedicine visit for HF patient are not well defined or outlined.

METHOD

Using a collaborative practice model and nurse practitioner led program, technology was leveraged to manage the high-risk HF population using virtual care (consultation via phone or video-to-home) with two aims: first to provide ongoing HF care using available telemedicine technologies or F2F care when necessary and, second, to evaluate and direct those needing urgent/emergent level of care to emergency department (ED).

INTERVENTION

The process was converted into an intuitive algorithm that describes essential elements and team roles necessary for execution of a successful HF consultation.

RESULTS

Following the algorithm, nurse practitioners conducted 132 visits, yielding 100% success in the conversion of F2F appointments to telemedicine, with 3 patients referred to ED for care. The information obtained through telemedicine consultation accurately informed decision for ED evaluation with resultant admission.

CONCLUSION

Collaborative team-based approach delineated in the algorithm facilitated successful virtual consultations for HF patients and accurately informed decisions for higher level of care.

SALAD-BAAR: A numerical risk score for hospital admission or emergency department presentation in ambulatory patients with cardiovascular disease

BACKGROUND

While many interventions to reduce hospital admissions and emergency department (ED) visits for patients with cardiovascular disease have been developed, identifying ambulatory cardiac patients at high risk for admission can be challenging.

HYPOTHESIS

A computational model based on readily accessible clinical data can identify patients at risk for admission.

METHODS

Electronic health record (EHR) data from a tertiary referral center were used to generate decision tree and logistic regression models. International Classification of Disease (ICD) codes, labs, admissions, medications, vital signs, and socioenvironmental variables were used to model risk for ED presentation or hospital admission within 90 days following a cardiology clinic visit. Model training and testing were performed with a 70:30 data split. The final model was then prospectively validated.

RESULTS

A total of 9326 patients and 46 465 clinic visits were analyzed. A decision tree model using 75 patient characteristics achieved an area under the curve (AUC) of 0.75 and a logistic regression model achieved an AUC of 0.73. A simplified 9-feature model based on logistic regression odds ratios achieved an AUC of 0.72. A further simplified numerical score assigning 1 or 2 points to each variable achieved an AUC of 0.66, specificity of 0.75, and sensitivity of 0.58. Prospectively, this final model maintained its predictive performance (AUC 0.63-0.60).

CONCLUSION

Nine patient characteristics from routine EHR data can be used to inform a highly specific model for hospital admission or ED presentation in cardiac patients. This model can be simplified to a risk score that is easily calculated and retains predictive performance.

Trends in Medical and Surgical Admission Length of Stay by Race/Ethnicity and Socioeconomic Status: A Time Series Analysis

BACKGROUND

Length of stay (LOS), a metric of hospital efficiency, differs by race/ethnicity and socioeconomic status (SES) and longer LOS is associated with adverse health outcomes. Historically, projects to improve LOS efficiency have yielded LOS reductions by 0.3 to 0.7 days per admission.

OBJECTIVE

To assess differences in average adjusted length of stay (aALOS) over time by race/ethnicity, and SES stratified by discharge destination (home or non-home).

METHOD

Data were obtained from 2009-2014 Healthcare Cost and Utilization Project State Inpatient Datasets for New York, New Jersey, and Florida. Multivariate generalized linear models were used to examine trends in aALOS differences by race/ethnicity, and by high vs low SES patients (defined first vs fourth quartile of median income by zip code) controlling for patient, disease and hospital characteristics.

RESULTS

For those discharged home, racial/ethnic and SES aALOS differences remained stable from 2009 to 2014. However, among those discharged to non-home destinations, Black vs White aALOS differences increased from 0.21 days in Q1 2009, (95% confidence interval (CI): 0.13 to 0.30) to 0.32 days in Q3 2013, (95% CI: 0.23 to 0.40), and for low vs high SES patients from 0.03 days in Q1 2009 (95% CI: -0.04 to 0.1) to 0.26 days, (95% CI: 0.19 to 0.34). Notably, for patients not discharged home, racial/ethnic and SES aALOS differences increased and persisted after Q3 2011, coinciding with the introduction of the Affordable Care Act (ACA).

CONCLUSION

Further research to understand the ACA's policy impact on hospital efficiencies, and relationship to racial/ethnic and SES differences in LOS is warranted.

A nurse practitioner-led effort to reduce 30-day heart failure readmissions

BACKGROUND

Heart failure (HF) affects over 6.5 million Americans and is the leading reason for hospital admissions in patients over the age of 65. Readmission rates within 30 days are 21.4% nationally, and 12% of those are likely preventable. Veterans are especially vulnerable to developing cardiac diseases requiring hospitalization and subsequent readmission.

LOCAL PROBLEM

The Southern Arizona Veterans Administration Health Care System has over 5,600 patients diagnosed with HF and a 30-day readmission rate of 21.65%. The aim of this quality improvement project was to reduce 30-day all-cause readmissions by 1% over 8 weeks.

METHODS

To reduce HF readmissions, the plan-do-study-act rapid-cycle method of quality improvement was used.

INTERVENTIONS

A dedicated multidisciplinary HF clinic was formed with a cardiology nurse practitioner, clinical pharmacists, and a dietician. A veteran-centered shared decision-making tool for setting self-care goals was implemented.

RESULTS

The readmission rate of patients seen in the multidisciplinary clinic (n = 33) was reduced by 0.2%. The percentage of veterans seen within 14 days increased from 30% to 54.5%. The average number of days between discharge and cardiology follow-up improved from 45 to 19 days. Veterans were able to set at least one self-care goal 87% of the time. Patient satisfaction with the multidisciplinary clinic was high at 93%.

CONCLUSIONS

Implementing a dedicated, multidisciplinary HF clinic reduced readmissions, improved timeliness of visits, and was well received. Use of a veteran-centered patient engagement tool resulted in more veterans setting self-care goals.

Hospitalization for acute heart failure: the in-hospital care pathway predicts one-year readmission

In patients with heart failure, some organizational and modifiable factors could be prognostic factors. We aimed to assess the association between the in-hospital care pathways during hospitalization for acute heart failure and the risk of readmission. This retrospective study included all elderly patients who were hospitalized for acute heart failure at the Universitary Hospital Lariboisière (Paris) during 2013. We collected the wards attended, length of stay, admission and discharge types, diagnostic procedures, and heart failure discharge treatment. The clinical factors were the specific medical conditions, left ventricular ejection fraction, type of heart failure syndrome, sex, smoking status, and age. Consistent groups of in-hospital care pathways were built using an ascending hierarchical clustering method based on a primary components analysis. The association between the groups and the risk of readmission at 1 month and 1 year (for heart failure or for any cause) were measured via a count data model that was adjusted for clinical factors. This study included 223 patients. Associations between the in-hospital care pathway and the 1 year-readmission status were studied in 207 patients. Five consistent groups were defined: 3 described expected in-hospital care pathways in intensive care units, cardiology and gerontology wards, 1 described deceased patients, and 1 described chaotic pathways. The chaotic pathway strongly increased the risk (p = 0.0054) of 1 year readmission for acute heart failure. The chaotic in-hospital care pathway, occurring in specialized wards, was associated with the risk of readmission. This could promote specific quality improvement actions in these wards. Follow-up research projects should aim to describe the processes causing the generation of chaotic pathways and their consequences.

Reduced length of stay and 30-day readmission rate on an inpatient vascular surgery service

As the cost of care for patients with specific diagnoses becomes fixed, hospitals must develop systems to reduce length of stay and optimize the use of hospital resources while maintaining a high quality of care. The goal of this study is to evaluate the implementation and efficacy of a system designed to reduce average length of stay on a vascular surgery service. To effectively reduce the average length of stay in our center, we restructured patient rounds, implemented multidisciplinary rounds, introduced clinical pathways to postoperative care, and expanded outpatient management of postoperative patients. A total of 1697 adult vascular surgery patients discharged while under the medical direction of a vascular surgeon between July 1, 2013, and June 30, 2016, were included in the study. Improving communication with critical staff and using procedural space outside of the main operating rooms led to a 2.8-day reduction in the length of stay (10.8 vs 8.0, P < .001). There was a trend toward a reduction in the 30-day readmission rate (12% vs 10%, respectively; P = .01) and no significant difference in the case-mix index as a measure of illness severity (2.5 vs 2.4, respectively; P = .15). Length of stay reductions were heterogeneous among the types of vascular diseases studied, with greater improvements seen in patients undergoing lower extremity amputation, lower extremity angiogram, and endovascular aneurysm repair for nonruptured abdominal aortic aneurysms. Less pronounced differences were observed in patients undergoing carotid artery endarterectomy or stenting and lower extremity bypasses. In conclusion, restructuring team rounds and instituting a multidisciplinary approach to discharge planning produced significant reductions in length of stay without a deleterious effect on patient care which may impact hospital profitability.

Essential Elements of Early Post Discharge Care of Patients with Heart Failure

PURPOSE OF REVIEW

Heart failure is associated with an enormous burden on both patients and health care systems in the USA. Several national policy initiatives have focused on improving the quality of heart failure care, including reducing readmissions following hospitalization, which are common, costly, and, at least in part, preventable. The transition from inpatient to ambulatory care setting and the immediate post-hospitalization period present an opportunity to further optimize guideline concordant medical therapy, identify reversible issues related to worsening heart failure, and evaluate prognosis. It can also provide opportunities for medication reconciliation and optimization, consideration of device-based therapies, appropriate management of comorbidities, identification of individual barriers to care, and a discussion of goals of care based on prognosis.

RECENT FINDINGS

Recent studies suggest that attention to detail regarding patient comorbidities, barriers to care, optimization of both diuretic and neurohormonal therapies, and assessment of prognosis improve patient outcomes. Despite the fact that the transition period appears to be an optimal time to address these issues in a comprehensive manner, most patients are not referred to programs specializing in this approach post hospital discharge. The objective of this review is to provide an outline for early post discharge care that allows clinicians and other health care providers to care for these heart failure patients in a manner that is both firmly rooted in the guidelines and patient-centered. Data regarding which intervention is most likely to confer benefit to which subset of patients with this disease is lacking and warrants further study.

Cardiology Consultation in the Emergency Department Reduces Re-hospitalizations for Low-Socioeconomic Patients with Acute Decompensated Heart Failure

BACKGROUND

Re-hospitalization after discharge for acute decompensated heart failure is a common problem. Low-socioeconomic urban patients suffer high rates of re-hospitalization and often over-utilize the emergency department (ED) for their care. We hypothesized that early consultation with a cardiologist in the ED can reduce re-hospitalization and health care costs for low-socioeconomic urban patients with acute decompensated heart failure.

METHODS

There were 392 patients treated at our center for acute decompensated heart failure who received standardized education and follow-up. Patients who returned to the ED received early consultation with a cardiologist; 392 patients who received usual care served as controls. Thirty- and 90-day re-hospitalization, ED re-visits, heart failure symptoms, mortality, and health care costs were recorded.

RESULTS

Despite guideline-based education and follow-up, the rate of ED re-visits was not different between the groups. However, the rate of re-hospitalization was significantly lower in patients receiving the intervention compared with controls (odds ratio 0.592), driven by a reduction in the risk of readmission from the ED (0.56 vs 0.79, respectively). Patients receiving the intervention accumulated 14% fewer re-hospitalized days than controls and 57% lower 30-day total health care cost. Despite the reduction in health care resource consumption, mortality was unchanged. After accounting for the total cost of intervention delivery, the health care cost savings was substantially greater than the cost of intervention delivery.

CONCLUSION

Early consultation with a cardiologist in the ED as an adjunct to guideline-based follow-up is associated with reduced re-hospitalization and health care cost for low-socioeconomic urban patients with acute decompensated heart failure.

If You Book It, Will They Come? Attendance at Postdischarge Follow-Up Visits Scheduled by Inpatient Providers

BACKGROUND

Postdischarge follow-up visits (PDFVs) are widely recommended to improve inpatient-outpatient transitions of care.

OBJECTIVE

To measure PDFV attendance rates.

DESIGN

Observational cohort study.

SETTING

Medical units at an academic quaternary-care hospital and its affiliated outpatient clinics.

PATIENTS

Adult patients hospitalized between April 2014 and March 2015 for whom at least 1 PDFV with our health system was scheduled. Exclusion criteria included nonprovider visits, visits cancelled before discharge, nonaccepted health insurance, and visits scheduled for deceased patients.

MEASUREMENTS

The study outcome was the incidence of PDFVs resulting in no-shows or same-day cancellations (NS/SDCs).

RESULTS

Of all hospitalizations, 6136 (52%) with 9258 PDFVs were analyzed. Twenty-five percent of PDFVs were NS/SDCs, 23% were cancelled before the visit, and 52% were attended as scheduled. In multivariable regression models, NS/SDC risk factors included black race (odds ratio [OR] 1.94, 95% confidence interval [CI], 1.63-2.32), longer lengths of stay (hospitalizations ≥15 days: OR 1.51, 95% CI, 1.22- 1.88), and discharge to facility (OR 2.10, 95% CI, 1.70-2.60). Conversely, NS/SDC visits were less likely with advancing age (age ≥65 years: OR 0.39, 95% CI, 0.31-0.49) and driving distance (highest quartile: OR 0.65, 95% CI, 0.52-0.81). Primary care visits had higher NS/SDC rates (OR 2.62, 95% CI, 2.03-3.38) than oncologic visits. The time interval between discharge and PDFV was not associated with NS/SDC rates.

CONCLUSIONS

PDFVs were scheduled for more than half of hospitalizations, but 25% resulted in NS/SDCs. New strategies are needed to improve PDFV attendance.

Observation of Patients Transitioned to an Oral Loop Diuretic Before Discharge and Risk of Readmission for Acute Decompensated Heart Failure

BACKGROUND

Heart failure (HF) is associated with high 30-day readmission rates and places significant financial burden on the health care system. The aim of this study was to determine if the duration of observation on an oral loop diuretic before discharge is associated with a reduction in 30-day HF readmission in patients with acute decompensated HF (ADHF).

METHODS AND RESULTS

This was a retrospective study of adult patients admitted for ADHF at a large academic medical center. A total of 123 patients were included. Baseline characteristics were similar between groups. The primary outcome of 30-day HF readmission occurred in 11 of 61 patients (18%) observed on an oral loop diuretic for <24 hours and in 2 of 62 patients (3.2%) observed on an oral loop diuretic for ≥24 hours (P = .023). Readmissions for 60- and 90-day HF were also significantly lower in patients observed for ≥24 hours (P = .014 and P = .049, respectively). Associations became stronger after multivariate analysis (P < .001). Observation for <24 hours and previous admission within 30 days were independent predictors of 30-day HF readmission (P = .03).

CONCLUSIONS

Observation of patients on an oral loop diuretic for <24 hours was associated with significantly higher 30-day HF readmission. Therefore, observation on an oral loop diuretic for ≥24 hours before discharge in patients presenting with ADHF should be strongly considered.

Identifying Potentially Avoidable Readmissions: A Medication-Based 15-Day Readmission Risk Stratification Algorithm

BACKGROUND

Stratifying patients according to 15-day readmission risk would be useful in identifying those who may benefit from targeted interventions during and/or following hospital discharge that are designed to reduce the likelihood of readmission.

METHODS

A prediction model was derived via a case-control analysis of patients discharged from a tertiary hospital in Singapore using multivariate logistic regression. The model was validated in two independent external cohorts separated temporally and geographically. Model discrimination was assessed using the C-statistic, while calibration was assessed using the Hosmer-Lemeshow χ² and the Brier score statistics.

RESULTS

A total of 1291 patients were included with 670, 101, and 520 patients in the derivation, temporal, and geographical validation cohorts, respectively. Age (odds ratio [OR] 1.02, 95% confidence interval [CI] 1.01-1.03, p=0.008), anemia (OR 2.08, 95% CI 1.15-8.05, p=0.015), malignancy (OR 3.37, 95% CI 1.16-9.80, p=0.026), peptic ulcer disease (OR 3.05, 95% CI 1.12-8.26, p=0.029), chronic obstructive pulmonary disease (OR 3.16, 95% CI 1.24-8.05, p=0.016), number of discharge medications (OR 1.06, 95% CI 1.01-1.12, p=0.026), discharge to nursing homes (OR 3.57, 95% CI 1.57-8.34, p=0.003), and premature discharge against medical advice (OR 5.05, 95% CI 1.20-21.23, p=0.027) were independent predictors of 15-day readmission risk. The model demonstrated reasonable discrimination on the temporal and geographical validation cohorts with a C-statistic of 0.65 and 0.64, respectively. Model miscalibration was observed in both validation cohorts.

CONCLUSION

A 15-day readmission risk prediction model is proposed and externally validated. The model facilitates the targeting of interventions for patients who are at high risk of an early readmission.