Hospital readmissions are frequent, harmful and costly—18% of Medicare patients can expect to be readmitted within 30 days in the United States at a cost of more than $17 billion.¹ Recent changes in health care policy aimed at reducing readmission have substantially increased attention to this major health care issue.

Quality improvement (QI) efforts hold great promise for improving care delivery. However, hospitals often struggle with QI implementation and fail to sustain improvement in either process changes or patient outcomes. Physician mentored implementation (PMI) is a novel approach that promotes the success and sustainability of QI initiatives at hospitals. It leverages the expertise of external physician mentors who coach QI teams to implement interventions at their local hospitals. The PMI model includes five core components: (1) a hospital self-assessment tool, (2) a face-to-face training session including direct interaction with a physician mentor, (3) a guided continuous quality improvement and systems approach, (4) yearlong individual physician mentoring, and (5) a learning community supported by a resource center, listserv, and webinars. Mentors provide content and process expertise, rather than offering “one-size-fits-all” technical assistance that might not be sustained after the mentoring year ends. Mentors support and motivate QI teams throughout the planning and implementation phases of their interventions, help to engage hospital leadership, garner local physician buy-in, and address institutional barriers. Mentors also guide hospitals to identify opportunities for the adaptation and customization of original evidence-based models of care while ensuring the fidelity of those models. More than 350 hospitals have used the PMI model to implement successful national and statewide QI initiatives. Academic medical centers are charged with improving the health of patients and reengineering care delivery; thus, they serve as the ideal source for physician mentors and can act as leaders in implementing QI projects using the PMI model.

Background/Objectives: New tools to accurately identify potentially preventable 30-day readmissions are needed. The HOSPITAL score has been internationally validated for medical inpatients, but its performance in select conditions targeted by the Hospital Readmission Reduction Program (HRRP) is unknown. Design: Retrospective cohort study. Setting: Six geographically diverse medical centers. Participants/Exposures: All consecutive adult medical patients discharged alive in 2011 with 1 of the 4 medical conditions targeted by the HRRP (acute myocardial infarction, chronic obstructive pulmonary disease, pneumonia, and heart failure) were included. Potentially preventable 30-day readmissions were identified using the SQLape algorithm. The HOSPITAL score was calculated for all patients. Measurements: A multivariable logistic regression model accounting for hospital effects was used to evaluate the accuracy (Brier score), discrimination (c-statistic), and calibration (Pearson goodness-of-fit) of the HOSPITAL score for each 4 medical conditions. Results: Among the 9181 patients included, the overall 30-day potentially preventable readmission rate was 13.6%. Across all 4 diagnoses, the HOSPITAL score had very good accuracy (Brier score of 0.11), good discrimination (c-statistic of 0.68), and excellent calibration (Hosmer-Lemeshow goodness-of-fit test, P=0.77). Within each diagnosis, performance was similar. In sensitivity analyses, performance was similar for all readmissions (not just potentially preventable) and when restricted to patients age 65 and above. Conclusions: The HOSPITAL score identifies a high-risk cohort for potentially preventable readmissions in a variety of practice settings, including conditions targeted by the HRRP. It may be a valuable tool when included in interventions to reduce readmissions within or across these conditions.

Transitions of care—when patients move from one health care facility to another or back home—that are poorly executed result in adverse effects for patients. Fortunately, programs can be implemented that enhance collaboration across care settings and improve outcomes including reducing hospital readmission rates.

Poorly managed hospital discharges and care transitions between health care facilities can cause poor outcomes for both patients and their caregivers. Unfortunately, the usual approach to health care delivery does not support continuity and coordination across the settings of hospital, doctors’ offices, home or nursing homes. Though complex efforts with multiple components can improve patient outcomes and reduce 30-day readmissions, research has not identified which components are necessary. Also we do not know how delivery of core components may need to be adjusted based on patient, caregiver, setting or characteristics of the community, or how system redesign can be accelerated. Project ACHIEVE focuses on diverse Medicare populations such as individuals with multiple chronic diseases, patients with low health literacy/numeracy and limited English proficiency, racial and ethnic minority groups, low-income groups, residents of rural areas, and individuals with disabilities. During the first phase, we will use focus groups to identify the transitional care outcomes and components that matter most to patients and caregivers to inform development and validation of assessment instruments. During the second phase, we will evaluate the comparative effectiveness of multi-component care transitions programs occurring across the U.S. Using a mixed-methods approach for this evaluation, we will study historical (retrospective) and current and future (prospective) groups of patients, caregivers and providers using site visits, surveys, and clinical and claims data. In this natural experiment observational study, we use a fractional factorial study design to specify comparators and estimate the individual and combined effects of key transitional care components. Our study will determine which evidence-based transitional care components and/or clusters most effectively produce patient and caregiver desired outcomes overall and among diverse patient and caregiver populations in different healthcare settings. Using the results, we will develop concrete, actionable recommendations regarding how best to implement these strategies. Finally, this work will provide tools for hospitals, community-based organizations, patients, caregivers, clinicians and other stakeholders to help them make informed decisions about which strategies are most effective and how best to implement them in their communities. Registered as NCT02354482 on clinicaltrials.gov on 1/29/2015

As health systems shift toward value-based care, strategies to reduce readmissions and improve patient outcomes become increasingly important. Despite extensive research, the combinations of transitional care (TC) strategies associated with best patient-centered outcomes remain uncertain. Using an observational, prospective cohort study design, Project ACHIEVE sought to determine the association of different combinations of TC strategies with patient-reported and postdischarge health care utilization outcomes. Using purposive sampling, the research team recruited a diverse sample of short-term acute care and critical access hospitals in the United States (N = 42) and analyzed data on eligible Medicare beneficiaries (N = 7,939) discharged from their medical/surgical units. Using both hospital- and patient-reported TC strategy exposure data, the project compared patients "exposed" to each of five overlapping groups of TC strategies to their "control" counterparts. Primary outcomes included 30-day hospital readmissions, 7-day postdischarge emergency department (ED) visits and patient-reported physical and mental health, pain, and participation in daily activities. Participants averaged 72.3 years old (standard deviation =10.1), 53.4% were female, and most were White (78.9%). Patients exposed to one TC group (Hospital-Based Trust, Plain Language, and Coordination) were less likely to have 30-day readmissions (risk ratio [RR], 0.72; 95% confidence interval [CI] = 0.57-0.92, p < 0.001) or 7-day ED visits (RR, 0.72; 95% CI, 0.55-0.93, p < 0.001) and more likely to report excellent physical and mental health, greater participation in daily activities, and less pain (RR ranged from 1.11 to 1.15, p < 0.01). In concert with care coordination activities that bridge the transition from hospital to home, hospitals' clear communication and fostering of trust with patients were associated with better patient-reported outcomes and reduced health care utilization.