Interventions for Heart Failure Readmissions: Successes and Failures

Disparities in Postdischarge Ambulatory Care Follow-Up Among Medicaid Beneficiaries With Diabetes, Hospitalized for Heart Failure

Background Ambulatory follow-up for all patients with heart failure (HF) is recommended within 7 to 14 days after hospital discharge to improve HF outcomes. We examined postdischarge ambulatory follow-up of patients with comorbid diabetes and HF from a low-income population in primary and specialty care. Methods and Results Adults with diabetes and first hospitalizations for HF, covered by Alabama Medicaid in 2010 to 2019, were included and the claims analyzed for ambulatory care use (any, primary care, cardiology, or endocrinology) within 60 days after discharge using restricted mean survival time regression and negative binomial regression. Among 9859 Medicaid-covered adults with diabetes and first hospitalization for HF (mean age, 53.7 years; SD, 9.2 years; 47.3% Black; 41.8% non-Hispanic White; 10.9% Hispanic/Other [Other included non-White Hispanic, American Indian, Pacific Islander and Asian adults]; 65.4% women, 34.6% men), 26.7% had an ambulatory visit within 0 to 7 days, 15.2% within 8 to 14 days, 31.3% within 15 to 60 days, and 26.8% had no visit; 71% saw a primary care physician and 12% a cardiology physician. Black and Hispanic/Other adults were less likely to have any postdischarge ambulatory visit (P<0.0001) or the visit was delayed (by 1.8 days, P=0.0006 and by 2.8 days, P=0.0016, respectively) and were less likely to see a primary care physician than non-Hispanic White adults (adjusted incidence rate ratio, 0.96 [95% CI, 0.91-1.00] and 0.91 [95% CI, 0.89-0.98]; respectively). Conclusions More than half of Medicaid-covered adults with diabetes and HF in Alabama did not receive guideline-concordant postdischarge care. Black and Hispanic/Other adults were less likely to receive recommended postdischarge care for comorbid diabetes and HF.

The Use of Home Telemonitoring for Heart Failure Management Among Hispanics, Non-Hispanic Blacks, and Non-Hispanic Whites

Heart failure (HF) is ranked as one of the leading causes of hospitalizations and mortality among adults of all racial/ethnic groups in the United States. Telemonitoring, as a home care intervention for HF management, has been used across all groups although the benefit for Hispanics has not been established. The purpose of this retrospective, quantitative study was to determine the differences in hospital readmission between Hispanic, non-Hispanic Black, and non-Hispanic White patients with HF who either received or did not receive home telemonitoring services from a home care agency in Connecticut. A purposive sample of 138 records of patients admitted between January 1, 2012, and June 30, 2017, with a diagnosis of HF provided the data for the study. Data were analyzed by conducting simple and multiple logistic regression analyses. The key findings showed that Hispanics who used telemonitoring were almost four times less likely to be readmitted to the hospital compared with Hispanics who did not use telemonitoring (p = .04). Race, age, gender, and insurance were not significant predictors of readmissions (p > .05). The findings from this study may provide healthcare providers with a better understanding of the outcomes of home telemonitoring for treating adult Hispanic patients with HF.

Heart Failure Home Management Challenges and Reasons for Readmission: a Qualitative Study to Understand the Patient's Perspective

BACKGROUND

Heart failure patients have high 30-day hospital readmission rates. Interventions designed to prevent readmissions have had mixed success. Understanding heart failure home management through the patient's experience may reframe the readmission "problem" and, ultimately, inform alternative strategies.

OBJECTIVE

To understand patient and caregiver challenges to heart failure home management and perceived reasons for readmission.

DESIGN

Observational qualitative study.

PARTICIPANTS

Heart failure patients were recruited from two hospitals and included those who were hospitalized for heart failure at least twice within 30 days and those who had been recently discharged after their first heart failure admission.

APPROACH

Open-ended, semi-structured interviews. Conclusions vetted using focus groups.

KEY RESULTS

Semi-structured interviews with 31 patients revealed a combination of physical and socio-emotional influences on patients' home heart failure management. Major themes identified were home management as a struggle between adherence and adaptation, and hospital readmission as a rational choice in response to distressing symptoms. Patients identified uncertainty regarding recommendations, caused by unclear instructions and temporal incongruence between behavior and symptom onset. This uncertainty impaired their competence in making routine management decisions, resulting in a cycle of limit testing and decreasing adherence. Patients reported experiencing hopelessness and frustration in response to perceiving a deteriorating functional status. This led some to a cycle of despair characterized by worsening adherence and negative emotions. As these cycles progressed and distressing symptoms worsened, patients viewed the hospital as the safest place for recovery and not a "negative" outcome.

CONCLUSION

Cycles of limit testing and despair represent important patient-centered struggles in managing heart failure. The resulting distress and fear make readmission a rational choice for patients rather than a negative outcome. Interventions (e.g., palliative care) that focus on methods to address these patient-centered factors should be further studied rather than methods to reduce hospital readmissions.

Improving Care Transitions Across Healthcare Settings Through a Human Factors Approach

After more than two decades of research focused on care transition improvement and intervention development, unfavorable outcome measures associated with care transitions across healthcare settings persist. Readmissions rates remain an important outcome to target for intervention, adverse events associated with care transitions continue to be an issue, and patients are often dissatisfied with the quality of their care. Currently, interventions to improve care transitions are disease specific, require substantial financial investments in training allied healthcare professionals, or focus primarily on hospital-based discharge planning with mixed results. This complex situation requires a method of evaluation that can provide a comprehensive, in-depth, and context-driven investigation of potential risks to safe care transitions across healthcare settings, which can lead to the creation of effective, usable, and sustainable interventions. A systems' approach known as Human Factors and Ergonomics (HFE) evaluates the factors in a system that affect human performance. This article describes how HFE can complement and further strengthen efforts to improve care transitions.

Comparing Perspectives of Patients, Caregivers, and Clinicians on Heart Failure Management

BACKGROUND

Although substantial effort has been devoted to reducing readmissions among heart failure (HF) patients, little is known about factors identified by patients and caregivers that may contribute to readmissions. The goal of this study was to compare the perspectives of HF patients, their caregivers, and their care team on HF management and hospital admissions. Understanding these perspectives may lead to better strategies for improving care during the post-hospital transition and for reducing preventable readmissions.

METHODS AND RESULTS

We performed freelisting, an anthropologic technique in which participants list items in response to a question, with hospitalized HF patients (n = 58), their caregivers (n = 32), and clinicians (n = 67). We asked about home HF management tasks, difficulties in managing HF, and perceived reasons for hospital admission. Results were analyzed with the use of Anthropac. Salience indices (measures of the most important words for defining the domain of interest) were calculated. Patients and clinicians described similar home HF management tasks, whereas caregivers described tasks related to activities of daily living. Clinicians cited socioeconomic factors as challenges to HF management, whereas patients and caregivers cited limited functional status and daily activities. When asked about reasons for hospitalization, patients and caregivers listed distressing symptoms and illness, whereas clinicians viewed patient behaviors to be primarily responsible for admission.

CONCLUSIONS

These findings highlight that although some similarities exist, there are important differences among patients, caregivers, and clinicians in how they perceive the challenges of HF management and reasons for readmission. Understanding these differences may be critical to developing strategies to reduce readmissions.

Validation of the Readmission Risk Score in Heart Failure Patients at a Tertiary Hospital

BACKGROUND

The Readmission Risk score (RR score) is a software application developed to identify patients at increased risk for readmission. This score was developed to improve on the methodology for 30-day risk-standardized all-cause readmission rates (RSRRs) used by the Centers for Medicare and Medicaid Services for its quality reporting system. However, the utility of the RR score in clinical practice has not been independently validated.

METHODS AND RESULTS

We included patients admitted with the primary discharge diagnosis of congestive heart failure (CHF) from September 2011 to August 2013. Data on individual components of the RR score were obtained by means of detailed chart review. We calculated the RR score of all admissions and examined its ability to predict 30-day all-cause readmission. We repeated the analysis by randomly selecting 1 admission per patient and also by including only those ≥ 65 years old. A total of 1,046 admissions met the inclusion criteria. Of these, 369 (35.28%) were readmitted within 30 days of discharge. The performance of the RR score was poor, with an area under the receiver operating characteristic curve (AUC) of 0.61 (95% confidence interval [CI] 0.57-0.64) for all age groups and 0.59 (95% CI 0.53-0.64) for patients aged ≥ 65 years. The AUC for the RR score was 0.58 (95% CI 0.50-0.65) in a randomly selected patient-level model. However, patients in the highest quartile of RR score were twice as likely to be readmitted as those in the lowest quartile (47.24% vs 24.69%; P < .001). The sensitivity and specificity of the RR score in predicting all cause readmissions were poor.

CONCLUSION

Based on our single-institution data, patients with CHF readmitted within 30 days had a higher RR score than those not readmitted. The ability of the RR score to predict future all-cause readmission was modest at best.

Influence of socioeconomic factors on hospital readmissions for heart failure and acute myocardial infarction in patients 65 years and older: evidence from a systematic review

PURPOSE

Cardiovascular diseases are the leading cause of death and disability worldwide. Among these diseases, heart failure (HF) and acute myocardial infarction (AMI) are the most common causes of hospitalization. Therefore, readmission for HF and AMI is receiving increasing attention. Several socioeconomic factors could affect readmissions in this target group, and thus, a systematic review was conducted to identify the effect of socioeconomic factors on the risk for readmission in people aged 65 years and older with HF or AMI.

METHODS

The search was carried out by querying an electronic database and hand searching. Studies with an association between the risk for readmission and at least one socioeconomic factor in patients aged 65 years or older who are affected by HF or AMI were included. A quality assessment was conducted independently by two reviewers. The agreement was quantified by Cohen's Kappa statistic. The outcomes of studies were categorized in the short-term and the long-term, according to the follow-up period of readmission. A positive association was reported if an increase in the risk for readmission among disadvantaged patients was found. A cumulative effect of socioeconomic factors was computed by considering the association for each study and the number of available studies.

RESULTS

A total of eleven articles were included in the review. They were mainly published in the United States. All the articles analyzed patients who were hospitalized for HF, and four of them also analyzed patients with AMI. Seven studies (63.6%) were found for the short-term outcome, and four studies (36.4%) were found for the long-term outcome. For the short-term outcome, race/ethnicity and marital status showed a positive cumulative effect on the risk for readmission. Regarding the educational level of a patient, no effect was found.

CONCLUSION

Among the socioeconomic factors, mainly race/ethnicity and marital status affect the risk for readmission in elderly people with HF or AMI. Multidisciplinary hospital-based quality initiatives, disease management, and care transition programs are a priority for health care systems to achieve better coordination.