Development of an academic-practice partnership model to anchor care coordination and population health.

The National Academy of Medicine's The Future of Nursing 2020-2030 recommends the expansion of the role of nurses throughout the continuum of health care in an effort to improve the health of the nation while decreasing costs. To accomplish this goal, nursing students and nurses must be well prepared to perform at their highest capacity to meet health care demands. Currently the U.S. health care delivery system is undergoing rapid changes that affect approaches to delivering care services. These changes call for education and practice reforms in nursing. This article introduces an innovative academic-practice partnership model (the University of Maryland Nursing [UMNursing] Care Coordination Implementation Collaborative), including its background, development, and blueprint for a large implementation project. The implementation model integrates nursing education and practice in areas of care co-ordination and population health, which have a significant impact on the Triple Aim of health. The project also uniquely integrates education, practice, and research, with the ultimate outcome of higher quality patient care.

Clinical nurses' perspectives on discharge practice changes from participating in a translational research study.

AIM: To describe clinical nurses' experiences with practice change associated with participation in a multi-site nursing translational research study implementing new protocols for hospital discharge readiness assessment. BACKGROUND: Nurses' participation in translational research studies provides an opportunity to evaluate how implementation of new nursing interventions affects care processes within a local context. These insights can provide information that leads to successful adoption and sustainability of the intervention. METHODS: Semi-structured focus groups from 30 of 33 participating study hospitals lead by team nurse researchers. RESULTS: Nurses reported improved and earlier awareness of patients' discharge needs, changes in discharge practices, greater patient/family involvement in discharge, synergy and enhanced discharge processes, and implementation challenges. Participating nurses related the benefits of participation in nursing research. CONCLUSION: Participation in a unit-level translational research project was a successful strategy for engaging nurses in practice change to improve hospital discharge. IMPLICATIONS FOR NURSING MANAGEMENT: Leading unit-based implementation of a structured discharge readiness assessment including nurse assessment and patient self-assessment encourages earlier awareness of patients' discharge needs, improved patient assessment and greater patient/family involvement in discharge preparation. Integrating discharge readiness assessments into existing discharge care promotes communication between health team members that facilitates a timely, coordinated discharge.

Nurse Continuity at Discharge and Return to Hospital.

BACKGROUND: Promoting continuity of nurse assignment during discharge care has the potential to increase patient readiness for discharge-which has been associated with fewer readmissions and emergency department visits. The few studies that examined nurse continuity during acute care hospitalizations did not focus on discharge or postdischarge outcomes. OBJECTIVES: The aim of this research was to examine the association of continuity in nurse assignment to patients prior to hospital discharge with return to hospital (readmission and emergency department or observation visits), including exploration of the mediating pathway through patient readiness for discharge and moderating effects of unit environment and unit nurse characteristics. METHODS: In a sample of 18,203 adult, medical-surgical patients from 31 Magnet hospitals, a correlational path analysis design was used in a secondary analysis to evaluate the effect of nurse continuity on readmissions and emergency department or observation visits within 30 days after hospital discharge. The mediating pathway through discharge readiness measured by patient self-report and nurse assessments was also assessed. Moderating effects of unit environment and nursing characteristics were examined across quartiles of unit environment (nurse staffing hours per patient day) and unit nurse characteristics (education and experience). Analyses were adjusted for patient characteristics, unit fixed effects, and clustering at the unit level. RESULTS: Continuous nurse assignment on the last 2 days of hospitalization was observed in 6,441 (35.4%) patient discharges and was associated with a 0.85 absolute percentage point reduction (7.8% relative reduction) in readmissions. There was no significant association with emergency department or observation visits. Sensitivity analysis revealed a stronger effect in patients with higher Elixhauser Comorbidity Indexes. Readiness for discharge was not a mediator of the effect of continuity on return to hospital. Unit characteristics were not associated with nurse continuity. No moderation effect was evident for unit environment and nurse characteristics. DISCUSSION: Continuity of nurse assignment on the last 2 days of hospitalization can reduce readmissions. Staffing for continuity may benefit patients and healthcare systems, with greater benefits for high-comorbidity patients. Nurse continuity prior to hospital discharge should be a priority consideration in assigning acute care nurses to augment readmission reduction efforts.

Using the consolidated framework for implementation research to evaluate clinical trials: An example from multisite nursing research.

BACKGROUND: The Consolidated Framework for Implementation Research (CFIR) is a comprehensive guide for determining the factors that affect successful implementation of complex interventions embedded in real-time clinical practice. PURPOSE: The study aim was to understand implementation constructs in a multi-site translational research study on readiness for hospital discharge that distinguished study sites with low versus high implementation fidelity. METHODS: In this descriptive study, site Principal Investigator interviews (from 8 highest and 8 lowest fidelity sites) were framed with questions from 20 relevant CFIR constructs. Analysis used CFIR rules and rating scale (+2 to -2 per site) and memos created in NVivo 11. FINDINGS: From a bimodal distribution of differences (1.5 and 5), 7 constructs distinguished high and low fidelity sites with ≥5-point difference. DISCUSSION: CFIR provided a determinant framework for identifying elements of a study site's context that impact implementation fidelity and clinical research outcomes.

Individual Nurse Productivity in Preparing Patients for Discharge Is Associated With Patient Likelihood of 30-Day Return to Hospital.

OBJECTIVE: Applied to value-based health care, the economic term "individual productivity" refers to the quality of an outcome attributable through a care process to an individual clinician. This study aimed to (1) estimate and describe the discharge preparation productivities of individual acute care nurses and (2) examine the association between the discharge preparation productivity of the discharging nurse and the patient's likelihood of a 30-day return to hospital [readmission and emergency department (ED) visits]. RESEARCH DESIGN: Secondary analysis of patient-nurse data from a cluster-randomized multisite study of patient discharge readiness and readmission. Patients reported discharge readiness scores; postdischarge outcomes and other variables were extracted from electronic health records. Using the structure-process-outcomes model, we viewed patient readiness for hospital discharge as a proximal outcome of the discharge preparation process and used it to measure nurse productivity in discharge preparation. We viewed hospital return as a distal outcome sensitive to discharge preparation care. Multilevel regression analyses used a split-sample approach and adjusted for patient characteristics. SUBJECTS: A total 522 nurses and 29,986 adult (18+ y) patients discharged to home from 31 geographically diverse medical-surgical units between June 15, 2015 and November 30, 2016. MEASURES: Patient discharge readiness was measured using the 8-item short form of Readiness for Hospital Discharge Scale (RHDS). A 30-day hospital return was a categorical variable for an inpatient readmission or an ED visit, versus no hospital return. RESULTS: Variability in individual nurse productivity explained 9.07% of variance in patient discharge readiness scores. Nurse productivity was negatively associated with the likelihood of a readmission (-0.48 absolute percentage points, P<0.001) and an ED visit (-0.29 absolute percentage points, P=0.042). CONCLUSIONS: Variability in individual clinician productivity can have implications for acute care quality patient outcomes.

Post-Hospital Medication Discrepancies at Home: Risk Factor for 90-Day Return to Emergency Department.

The purpose of this study was to evaluate the occurrence of medication discrepancies during transitional care home visits and the association with emergency department (ED) visits. Using secondary data analysis, the relationships between in-home medication discrepancies and 30- and 90-day ED utilization were examined. For every in-home medication discrepancy, the odds of being admitted to the ED within 90 days increased by 31%. This brief intervention could add a valuable component to post-hospital transition management.

Models of Discharge Care in Magnet® Hospitals.

OBJECTIVE: The aim of this article is to describe how the discharge preparation process is operationalized in Magnet® hospitals. BACKGROUND: Nationally, there are intensive efforts toward improving discharge transitions and reducing readmissions. Discharge preparation is a core hospital function, yet there are few reports of operational models. METHODS: This was a descriptive, Web-based survey of 32 Magnet hospitals (64 units) participating in the Readiness Evaluation and Discharge Interventions study. RESULTS: Most hospitals have adopted 1 or more national readmission reduction initiatives. Most unit models include several discharge preparation roles; RN case managers, and discharging RNs lead the process. Nearly one-half of units actively screen for readmission risk. More than three-fourths report daily discharge rounds, but less than one-third include the patient and family. More than two-thirds report a follow-up phone call, mostly to assess patient satisfaction. CONCLUSIONS: Magnet hospitals operationalize discharge preparation differently. Recommended practices from national discharge initiatives are inconsistently used. RNs play a central role in discharge planning, coordination, and teaching.

A Model for Hospital Discharge Preparation: From Case Management to Care Transition.

There has been a proliferation of initiatives to improve discharge processes and outcomes for the transition from hospital to home and community-based care. Operationalization of these processes has varied widely as hospitals have customized discharge care into innovative roles and functions. This article presents a model for conceptualizing the components of hospital discharge preparation to ensure attention to the full range of processes needed for a comprehensive strategy for hospital discharge.

Using appreciative inquiry during care transitions: an exploratory study.

The purpose of the study was to evaluate the effectiveness of a transitional care coaching intervention offered to chronically ill medical patients during the transition from hospital to home. This 2-arm randomized pilot study uses a coaching framework based on appreciative inquiry theory. This article reviews the appreciative inquiry literature and identifies the characteristics of patients who participated in appreciative inquiry coaching. Lessons learned are summarized, and suggestions for future research are offered.

Gap analysis: synergies and opportunities for effective nursing leadership.

Gap analysis encompasses a comprehensive process to identify, understand, address, and bridge gaps in service delivery and nursing practice. onducting gap analysis provides structure to information gathering and the process of finding sustainable solutions to important deficiencies. Nursing leaders need to recognize, measure, monitor, and execute on feasible actionable solutions to help organizations make adjustments to address gaps between what is desired and the actual real-world conditions contributing to the quality chasm in health care. Gap analysis represents a functional and comprehensive tool to address organizational deficiencies. Using gap analysis proactively helps organizations map out and sustain corrective efforts to close the quality chasm. Gaining facility in gap analysis should help the nursing profession's contribution to narrowing the quality chasm.

Facilitators and challenges to conducting interdisciplinary research.

BACKGROUND: Complex, interconnected issues challenge the United States health care system and the patients and families it serves. System fragmentation, limited resources, rigid disciplinary boundaries, institutional culture, ineffective communication, and uncertainty surrounding health policy legislation are contributing to suboptimal care delivery and patient outcomes. METHODS: These problems are too complex to be solved by a single discipline. Interdisciplinary research affords the opportunity to examine and solve some of these problems from a more integrative perspective using innovative and rigorous methodological designs. RESULTS: In this paper, we explore lessons learned from exemplars funded by the Robert Wood Johnson Foundation's Interdisciplinary Nursing Quality Research Initiative. DISCUSSION: The discussion is framed using an adaptation of the Interdisciplinary Research Model to evaluate improvements in individual health outcomes, health systems, and health policy. Barriers and facilitators to designing, conducting, and translating interdisciplinary research are discussed. Implications for health system and policy changes, including the need to provide funding mechanisms to implement interdisciplinary processes in both research and clinical practice, are provided.

Improving assessment of cardiovascular disease risk by using family history: an integrative literature review.

BACKGROUND: Cardiovascular disease (CVD) is the number one killer in the United States. Although the causes of CVD are multifactorial, including genetic and environmental influences, it is largely a preventable disease. The cornerstone of CVD prevention is accuracy in risk prediction to identify patients who will benefit from interventions aimed at reducing risk. Nurse practitioners commonly perform CVD risk assessments and are well positioned to impact preventive therapy. Cardiovascular disease risk scoring systems currently in use substantially underestimate risk in large part because these do not include family history of premature CVD as a high-risk factor. PURPOSE: We sought to examine the state of evidence for the use of family history as a predictor in CVD risk stratification. CONCLUSIONS: A comprehensive literature search using the Medical Subject Headings terms of family history of CVD, family history of premature CVD, risk assessment, and risk estimation displayed 416 articles; a review of the titles and subsequent evaluation of the articles eliminated 392 references, leaving 24 for review. By incorporating family history in risk assessment, categorization of CVD risk improves substantially. The evidence demonstrates that family history is an independent contributor to risk appraisal and unequivocally supports its incorporation to improve accuracy in global CVD risk estimation. CLINICAL IMPLICATIONS: Underestimation of CVD risk leaves patients and providers misinformed, promoting the ongoing epidemic of chronic disease. Translating this evidence into practice by establishing a clinical algorithm that incorporates family history into risk prediction will standardize CVD risk assessment, improve the identification of high-risk patients, and provide the indicated aggressive care to prevent CVD.

Continuum of nursing education and practice: Time to close the chasm between academia and practice.

Nurses play a key role in the health of Americans. Unfortunately, the nation is expected to experience an increasing nursing shortage due to nurses retiring or leaving the profession and growing healthcare needs. In this context, it is important to prepare nursing students to be practice-ready graduates. To accomplish this goal, students must learn domain knowledge that is reflective of current nursing practices and have ample experiential learning opportunities, which require close collaboration between academia and practice in nursing education. Traditionally, faculty members who have developed nursing curriculum and the course content are mainly from within academia. The aims of the article are to describe prior efforts in academia-practice collaboration for baccalaureate-level nursing education and to propose the innovative Nursing Education and Practice Continuum model, which expands our team's successful collaborative projects. The model conceptualizes nursing education as a continuum between academia and practice, which constantly interact and evolve, and facilitates co-building and co-implementing nursing education courses for both students and practicing nurses. Nursing practice is also a continuum between experiential learning and practice after graduation. This continuum model can be implemented by aligning baccalaureate-level nursing education with the Nurse Residency Program curriculum. This article also addresses potential challenges and strategies during implementation.

Nonlinear association of nurse staffing and readmissions uncovered in machine learning analysis.

OBJECTIVE: Several studies of nurse staffing and patient outcomes found a curvilinear or U-shaped relationship, with benefits from additional nurse staffing diminishing or reversing at high staffing levels. This study examined potential diminishing returns to nurse staffing and the existence of a "tipping point" or the level of staffing after which higher nurse staffing no longer improves and may worsen readmissions. DATA SOURCES/STUDY SETTING: The Readiness Evaluation And Discharge Interventions (READI) study database of over 130,000 adult (18+) inpatient discharges from 62 medical, surgical, and medical-surgical (noncritical care) units from 31 United States (US) hospitals during October 2014-March 2017. STUDY DESIGN: Observational cross-sectional study using a fully nonparametric random forest machine learning method. Primary exposure was nurse hours per patient day (HPPD) broken down by registered nurses (nonovertime and overtime) and nonlicensed nursing personnel. The outcome was 30-day all-cause same-hospital readmission. Partial dependence plots were used to visualize the pattern of predicted patient readmission risk along a range of unit staffing levels, holding all other patient characteristics and hospital and unit structural variables constant. DATA COLLECTION/EXTRACTION METHODS: Secondary analysis of the READI data. Missing values were imputed using the missing forest algorithm in R. PRINCIPAL FINDINGS: Partial dependence plots were U-shaped, showing the readmission risk first declining and then rising with additional nurse staffing. The tipping points were at 6.95 and 0.21 HPPD for registered nurse staffing (nonovertime and overtime, respectively) and 2.91 HPPD of nonlicensed nursing personnel. CONCLUSIONS: The U-shaped association was consistent with diminishing returns to nurse staffing suggesting that incremental gains in readmission reduction from additional nurse staffing taper off and could reverse at high staffing levels. If confirmed in future causal analyses across multiple outcomes, accompanying investments in infrastructure and human resources may be needed to maximize nursing performance outcomes at higher levels of nurse staffing.

Challenges in posthospital care: nurses as coaches for medication management.

The purpose of this study was to evaluate a transitional care intervention posthospital discharge for chronically ill medical patients managing complex medication regimens. This descriptive pilot study tested 2 interventions: telephone follow-up and a home visit. Registered nurses delivered the interventions with consulting pharmacist support. Findings included 62% more medication discrepancies discovered during home visit than detected by telephone interview. This brief intervention identified significant knowledge gaps in self-management of discharge medications in the inner city population.

Effectiveness of home health care in reducing return to hospital: Evidence from a multi-hospital study in the US.

BACKGROUND: Home health care, a commonly used bridge strategy for transitioning from hospital to home-based care, is expected to contribute to readmission avoidance efforts. However, in studies using disease-specific samples, evidence about the effectiveness of home health care in reducing readmissions is mixed. OBJECTIVE: To examine the effectiveness of home health care in reducing return to hospital across a diverse sample of patients discharged home following acute care hospitalization. RESEARCH DESIGN: Secondary analysis of a multi-site dataset from a study of discharge readiness assessment and post-discharge return to hospital, comparing matched samples of patients referred and not referred for home health care at the time of hospital discharge. SETTING: Acute care, Magnet-designated hospitals in the United States PARTICIPANTS: The available sample (n = 18,555) included hospitalized patients discharged from medical-surgical units who were referred (n = 3,579) and not referred (n = 14,976) to home health care. The matched sample included 2767 pairs of home health care and non- home health care patients matched on patient and hospitalization characteristics using exact and Mahalanobis distance matching. METHODS: Unadjusted t-tests and adjusted multinomial logit regression analyses to compare the occurrence of readmissions and Emergency Department/Observation visits within 30 and 60-days post-discharge. RESULTS: No statistically significant differences in readmissions or Emergency Department /Observation visits between home health care and non-home health care patients were observed. CONCLUSIONS: Home health care referral was not associated with lower rates of return to hospital within 30 and 60 days in this US sample matched on patient and clinical condition characteristics. This result raises the question of why home health care services did not produce evidence of lower post-discharge return to hospital rates. Focused attention by home health care programs on strategies to reduce readmissions is needed.

Development of a DNP measurement grid to increase the rigor of doctor of nursing practice students' data collection and analysis methods.

A key component of the DNP project rigor is the collection and analysis of data or measurement. A Steering Committee at the University of Maryland formed to improve the quality of DNP projects established a workgroup to evaluate the current measurement content in four DNP core courses with the goal of establishing DNP project measurement criteria across the curriculum. The steps included: Step 1: Identify QI Measurement Methods and Tools. Identify the essential QI measurement methods and tools recommended by national organizations. Step 2: Create a DNP Measurement Grid. Define main data methods topics with subtopics. Step 3: Map the DNP core courses. Using the DNP Measurement Grid criteria determine the measurement content included in each course and student mastery level. The level of mastery was ranked from introduced (awareness), to reinforced (knowledge), to demonstrated (application). Step 4: Evaluate and Refine the DNP Measurement Grid Criteria. Adjustments were made in the DNP curriculum to include topics and subtopics at the desired mastery level. The rigor of data measurement and analysis will be evaluated in future DNP projects. The workgroup's four-step process provides a path that facilitated improving curriculum measurement content. This process may provide guidance for others undertaking similar work.

Effect of Implementing Discharge Readiness Assessment in Adult Medical-Surgical Units on 30-Day Return to Hospital: The READI Randomized Clinical Trial.

Importance: The downward trend in readmissions has recently slowed. New enhancements to hospital readmission reduction efforts are needed. Structured assessment of patient readiness for discharge has been recommended as an addition to discharge preparation standards of care to assist with tailoring of risk-mitigating actions. Objective: To determine the effect of unit-based implementation of readiness evaluation and discharge intervention protocols on readmissions and emergency department or observation visits. Design, Setting, and Participants: The Readiness Evaluation and Discharge Interventions (READI) cluster randomized clinical trial conducted in medical-surgical units of 33 Magnet hospitals between September 15, 2014, and March 31, 2017, included all adult (aged ≥18 years) patients discharged to home. Baseline and risk-adjusted intent-to-treat analyses used difference-in-differences multilevel logistic regression models with controls for patient characteristics. Interventions: Of 2 adult medical-surgical nursing units from each hospital, 1 was randomized to the intervention and 1 to usual care conditions. Using the 8-item Readiness for Hospital Discharge Scale, the 33 intervention units implemented a sequence of protocols with increasing numbers of components: READI1, in which nurses assessed patients to inform discharge preparation; READI2, which added patient self-assessment; and READI3, which added an instruction to act on a specified Readiness for Hospital Discharge Scale cutoff score indicative of low readiness. Main Outcomes and Measures: Thirty-day return to hospital (readmission or emergency department and observation visits). Intervention units above median baseline readmission rate (>11.3%) were categorized as high-readmission units. Among the 33 intervention units, 17 were low-readmission units and 16 were high-readmission units. Results: The sample included 144 868 patient discharges (mean [SD] age, 59.6 [17.5] years; 51% female; 74 605 in the intervention group and 70 263 in the control group); 17 667 (12.2%) were readmitted and 12 732 (8.8%) had an emergency department visit or observation stay. None of the READI protocols reduced the primary outcome of return to hospital in intent-to-treat analysis of the full sample. In exploratory subgroup analysis, when patient self-assessments were combined with readiness assessment by nurses (READI2), readmissions were reduced by 1.79 percentage points (95% CI, -3.20 to -0.40 percentage points; P = .009) on high-readmission units. With nurse assessment alone and on low-readmission units, results were mixed. Conclusions and Relevance: Implemented in a broad range of hospitals and patients, the READI interventions were not effective in reducing return to hospital. However, adding a structured discharge readiness assessment that incorporates the patient's own perspective to usual discharge care practices holds promise for mitigating high rates of return to the hospital following discharge. Trial Registration: ClinicalTrials.gov Identifier: NCT01873118.

Validation of patient and nurse short forms of the Readiness for Hospital Discharge Scale and their relationship to return to the hospital.

OBJECTIVE: To validate patient and nurse short forms for discharge readiness assessment and their associations with 30-day readmissions and emergency department (ED) visits. DATA SOURCES/STUDY SETTING: A total of 254 adult medical-surgical patients and their discharging nurses from an Eastern US tertiary hospital between May and November, 2011. STUDY DESIGN: Prospective longitudinal design, multinomial logistic regression analysis. DATA COLLECTION/EXTRACTION METHODS: Nurses and patients independently completed an eight-item Readiness for Hospital Discharge Scale on the day of discharge. Patient characteristics, readmissions, and ED visits were electronically abstracted. PRINCIPAL FINDINGS: Nurse assessment of low discharge readiness was associated with a six- to nine-fold increase in readmission risk. Patient self-assessment was not associated with readmission; neither was associated with ED visits. CONCLUSIONS: Nurse discharge readiness assessment should be added to existing strategies for identifying readmission risk.