NURS-FPX6030 MSN Practicum and Capstone

Development of a Standardized Discharging Intervention to Prevent Readmission of Avoidable CHF Patients

Assessment Type: Capstone Project

Word Count: 5,000 to 7,000 words (excluding title page, abstract, references, and appendices)

Submission Format: Word document, APA 7th edition

Institution: Capella University

Course: NURS-FPX6030 MSN Practicum and Capstone

Study Period: Fall 2026

Assessment Number: Assessment 4: Capstone Project Final

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Assessment Context

Heart failure remains one of the most expensive and clinically complex conditions managed in U.S. acute care settings. Roughly one in four patients hospitalized for heart failure returns within thirty days, and a substantial share of those returns are preventable through structured discharge processes, patient education, and early post-discharge follow-up. The clinical and financial burden falls on patients, hospitals, and payers simultaneously. Nurses sit at the center of the discharge transition, and nurse-led interventions have repeatedly shown promise in reducing avoidable readmissions when they are standardized rather than delivered as isolated efforts. This capstone project asks you to design, defend, and evaluate a standardized discharging intervention for adult patients with congestive heart failure (CHF), with explicit attention to the avoidable readmissions that drain hospital capacity and patient finances.

The project is not a literature review. It is a practice change proposal built on appraisal of evidence, a defined conceptual model, a realistic implementation timeline, and a measurement plan that a clinical leader could execute. You will move through problem identification, solution description, critical appraisal, evaluation planning, and budget justification. Each section builds on the last. A weak problem statement produces a weak intervention, and a weak evaluation plan produces a proposal that cannot be defended.

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Task Description

You will produce a capstone project proposal that addresses the following prompt: How can a standardized discharging intervention reduce avoidable thirty-day readmissions among adult CHF patients in an acute care setting? Your proposal must integrate qualitative and quantitative evidence, identify a conceptual framework, specify the intervention components, outline a data collection and evaluation strategy, and justify the resources required for implementation.

The final submission is a single Word document structured according to the sections listed below. Do not submit separate files. Do not embed audio or video.

Section A: Problem Description

Define the CHF readmission problem at the unit or organizational level. Establish incidence, cost, and clinical consequence using institutional data where available and peer-reviewed sources where institutional data are not accessible. State the gap between current discharge practice and evidence-based practice. Explain why the problem matters to nursing practice, patient outcomes, and organizational performance. End with a clear problem statement and a purpose statement.

Section B: Solution Description

Present the proposed standardized discharging intervention. Describe the intervention components with enough specificity that another nurse leader could replicate them. At minimum, address patient education, medication reconciliation, follow-up appointment scheduling, and post-discharge contact. Identify the evidence base for each component and explain how the components function together as a bundle rather than as separate activities. Include the budget and timeline logic that makes the intervention feasible.

Section C: Critical Appraisal and Evaluation Table

Select eight to ten peer-reviewed studies or systematic reviews published between 2018 and 2026. Appraise each study for design, sample, intervention fidelity, outcomes, and limitations. Present the appraisal in an evaluation table with columns for author and year, design, sample and setting, intervention, outcomes, limitations, and level of evidence. Summarize the strength and consistency of the evidence across studies.

Section D: Conceptual Model

Identify and describe a conceptual model or theoretical framework that guides the intervention. Explain how the model connects the intervention components to the expected outcomes. Do not simply name a model. Show how the constructs of the model map onto the specific activities of your discharge intervention.

Section E: Implementation Timeline and Resources

Provide a week-by-week or month-by-month timeline for the project. Identify personnel, training, materials, and technology required. Include a resource list and a budget table with line-item costs. Justify each cost against the expected reduction in readmissions or the expected cost avoidance.

Section F: Data Collection and Evaluation Plan

Describe the data collection methods, including questionnaires, interviews, and institutional reports. Explain how you will protect human subjects and maintain data quality. Define outcome measures, process measures, and balancing measures. Specify how you will analyze the data and how you will determine whether the intervention achieved its intended effect.

Section G: Proposal Instruments and Appendices

Include the critical appraisal checklists, the evaluation table, the conceptual model diagram, the timeline, the resource list, the budget, and the data collection tool as appendices. Each appendix must be labeled and referenced in the body of the proposal.

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Grading Rubric

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Sample Answer Excerpt

Standardized Discharge Bundles and CHF Readmission

A standardized discharging intervention for CHF patients works best when it operates as a bundle rather than a checklist of unrelated tasks. Lindsey et al. (2025) implemented a four-pronged discharge bundle on two telemetry units and reported a heart failure readmission rate of 3.85% among patients who received the full intervention, compared with the national heart failure readmission rate of roughly 23%. The bundle combined early case management assessment, patient-centered heart failure education, predischarge medication delivery, and a physician follow-up appointment scheduled within seven days of discharge. The authors also observed a dose-response pattern: patients without a readmission completed an average of 2.3 bundle components, while patients who were readmitted completed an average of 1.5. That finding matters for practice because it suggests that partial implementation may produce partial benefit, and that fidelity to the full bundle is a clinical variable rather than an administrative detail. A nurse-led discharge intervention should therefore be designed with fidelity monitoring built in, not added after implementation.

Why Teach-Back Changes the Discharge Conversation

Patient education is the component most likely to be implemented superficially and least likely to be measured for comprehension. Oh et al. (2023) tested discharge education using the teach-back method in a randomized controlled trial and found measurable improvements in heart failure self-care and reductions in readmission when patients were asked to demonstrate understanding rather than simply receive information. The teach-back method shifts the burden of proof from the patient to the clinician: if the patient cannot explain what to do when weight rises by two kilograms in three days, the education has not occurred. This distinction separates a discharge conversation that satisfies documentation requirements from one that changes what a patient does at home. A standardized intervention should specify teach-back as a required step, train staff to use it consistently, and audit whether it happened. Without that audit, teach-back becomes a phrase in a policy rather than a behavior at the bedside.

What the Evidence Says About Nurse-Led Transitional Care

Nurse-led transitional care programs reduce readmissions, but the mechanism and the magnitude depend on which components are included. A network meta-analysis of transitional care services found that nurse-centered models and multidisciplinary heart failure clinics both reduce all-cause readmission, with no significant difference in comparative effectiveness between the two approaches (Van Spall et al., 2023). That equivalence is useful for resource-constrained settings because it suggests that a well-designed nurse-led program can achieve outcomes comparable to a more expensive multidisciplinary clinic, provided the core functions of assessment, education, medication reconciliation, and early follow-up are present. Zisis et al. (2024) tested a nurse-led strategy that added lung ultrasound-guided decongestion to a disease management program and did not improve the primary composite outcome at thirty days, although residual congestion before discharge predicted early readmission. The negative trial is instructive: adding technology to a transitional care program does not automatically improve outcomes, and the foundational components of discharge planning still carry the weight of the effect. A standardized intervention should be built on the components with the strongest and most consistent evidence before adding adjuncts.

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Sample Answer Follow-Up Paragraphs

Fidelity as the Missing Variable

Implementation fidelity deserves more attention than it typically receives in capstone proposals. Lindsey et al. (2025) reported that patients who avoided readmission completed more bundle components than patients who returned, which implies that the intervention is not a binary treatment but a graded exposure. A proposal that measures only whether the bundle was ordered, rather than whether each component was delivered and documented, will produce results that cannot be interpreted. Fidelity measurement should include direct observation of teach-back sessions, audit of medication reconciliation completion, confirmation that follow-up appointments were scheduled before discharge and attended after discharge, and documentation of post-discharge telephone contact. The Iowa nurse navigator program reported a decline in readmissions from 19.4% to 11.78% after implementing a structured education and follow-up protocol, and the program’s success depended on staff participation in education and documentation, not simply on the existence of the protocol (Stirneman, 2026). A capstone proposal that treats fidelity as an outcome variable will be stronger than one that treats it as an assumption.

What Students Get Wrong About the Budget Section

The budget section is where many capstone proposals lose credibility. Students often list costs without connecting them to the readmission reduction that justifies the expense. A stronger approach frames the budget as a cost-avoidance argument: the average cost of a heart failure readmission is substantial, and a reduction of even a few readmissions per month can offset the cost of a nurse navigator, education materials, and follow-up infrastructure. The budget should distinguish between one-time costs (training, materials development) and recurring costs (staff time, telephone follow-up, appointment scheduling support). It should also identify which costs are absorbed by existing roles and which require new resources. Reviewers evaluate whether the proposal is financially plausible, not whether it is ambitious. A modest intervention with a credible cost-avoidance rationale is more defensible than an elaborate program with no fiscal anchor.

Conceptual Models That Actually Guide Practice

The conceptual model section is frequently reduced to a paragraph naming the Health Belief Model or the Transtheoretical Model without any explanation of how the model shapes the intervention. A stronger proposal selects a model that maps onto the discharge transition specifically. Transitional care theory, for example, emphasizes the handoff between settings, the role of the care coordinator, and the vulnerability of the patient during the post-discharge period. A model that addresses transitions directly will generate more specific intervention components than a model focused on individual health behavior alone. The model should explain why the intervention includes a post-discharge telephone call, why the follow-up appointment is scheduled before discharge rather than left to the patient, and why medication reconciliation is a shared responsibility rather than a discharge instruction. When the model and the intervention are aligned, the proposal reads as a coherent argument rather than a collection of evidence-based activities.

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References

Lindsey, J., Smith, A., & Carter, B. (2025). Reducing 30-day acute care readmissions for heart failure patients through implementation of a discharge bundle. Professional Case Management, 30(3), 81–92. https://doi.org/10.1097/NCM.0000000000000766

Oh, E. G., Lee, J. Y., Lee, H. J., & Oh, S. (2023). Effects of discharge education using teach-back methods in patients with heart failure: A randomized controlled trial. International Journal of Nursing Studies, 140, 104453. https://doi.org/10.1016/j.ijnurstu.2023.104453

Rizzuto, N., Charles, G., & Knobf, M. T. (2022). Decreasing 30-day readmission rates in patients with heart failure. Critical Care Nurse, 42(4), 13–19. https://doi.org/10.4037/ccn2022417

Stirneman, K. (2026). Empowering nurses healthier hearts: Nurse-led interventions reduce heart failure readmissions [Poster presentation]. University of Iowa Hospitals and Clinics. https://www.healthcare.uiowa.edu/MarCom/uihc/nursing/2026/Poster-award-empowering.pdf

Van Spall, H. G. C., Rahman, T., Mytton, O., Ibrahim, Q., Coppens, M., & Connolly, S. J. (2023). Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: A systematic review and network meta-analysis. European Journal of Heart Failure, 25(4), 545–558. https://doi.org/10.1002/ejhf.2827

Zisis, G., Huynh, Q., Yang, Y., Neil, C., Carrington, M. J., Ball, J., Maguire, G., & Marwick, T. H. (2024). Use of imaging-guided decongestion for reducing heart failure readmission and death in high-risk patients: A multi-site randomized trial of a nurse-led strategy at the point of care. Journal of Cardiac Failure, 30(4), 624–629. https://doi.org/10.1016/j.cardfail.2023.12.007

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Standardized Discharging Intervention to Prevent Avoidable CHF Readmissions

Adult patients hospitalized for congestive heart failure return within thirty days at rates that remain stubbornly high across U.S. acute care settings. Roughly one in four discharges ends in an early return, and many of those returns stem from gaps in education, medication continuity, and follow up rather than irreversible disease progression. Nurses control the final hours of the inpatient stay and therefore hold the practical levers that can close those gaps. A standardized discharging intervention that bundles patient education with teach back, medication reconciliation, scheduled follow up, and early post discharge contact offers a coherent response that clinical leaders can implement without new technology platforms or large multidisciplinary teams.

Problem Description

Heart failure hospitalizations generate high cost and high volume traffic for medical and telemetry units. National benchmarks hover near 20 to 23 percent for thirty day all cause readmission, and institutional rates often exceed that figure when discharge processes remain variable. Each avoidable return consumes bed capacity, triggers financial penalties under value based purchasing, and exposes patients to further decompensation. Current practice on many units still treats discharge as a series of discrete tasks completed under time pressure. Education may occur as a one way lecture, medication lists may leave the hospital incomplete, and follow up appointments may be left for the patient to arrange. The resulting gap between evidence based transitional care and routine operations produces preventable returns that nursing practice is positioned to address. The purpose of this proposal is to design and defend a standardized four component discharging intervention that reduces avoidable thirty day readmissions among adult CHF patients discharged from acute care.

Solution Description

The proposed intervention operates as a single bundle rather than a checklist of optional steps. First, a designated nurse delivers structured heart failure education that ends with teach back. The patient must correctly restate daily weight monitoring thresholds, sodium limits, and the action plan for rising symptoms before the education is recorded as complete. Second, pharmacy and nursing complete medication reconciliation at the bedside, with predischarge delivery of new prescriptions whenever possible so the patient leaves with the correct regimen in hand. Third, the case manager or charge nurse schedules a physician or advanced practice provider appointment within seven days of discharge and documents the date, time, and location in the discharge summary. Fourth, a nurse places a structured telephone call within 48 to 72 hours of discharge to review weight, symptoms, medication adherence, and appointment readiness.

Each component rests on recent evidence. Lindsey and colleagues implemented a nearly identical four pronged bundle on telemetry units and observed a heart failure specific readmission rate of 3.85 percent among patients who received the full set of interventions, well below national averages. Patients who avoided readmission completed an average of 2.3 bundle elements, while those who returned completed only 1.5, indicating a dose response relationship that favors full fidelity. Oh and colleagues tested teach back education in a randomized trial and demonstrated clear gains in self care maintenance, symptom perception, and self care efficacy. A subsequent meta analysis of teach back discharge education confirmed an odds ratio of 0.40 for overall readmission reduction. Van Spall and co authors, in a network meta analysis of transitional care services, found that nurse case management and disease management approaches both reduce all cause readmission, with no significant difference in comparative effectiveness. The present bundle therefore concentrates on the core functions that consistently appear across successful programs rather than adding unproven adjuncts.

The four elements function together. Education without reconciliation leaves the patient informed but unequipped. Reconciliation without a scheduled appointment leaves the patient with correct medicines but no timely clinical review. An appointment without early telephone contact leaves gaps during the highest risk window. Delivery of the full bundle therefore becomes the operational target.

Conceptual Model

Transitional care theory supplies the organizing framework. The theory centers on the vulnerability that accompanies movement between care settings, the coordinating role of a consistent clinician, and the need for information continuity across the handoff. In this application the discharging nurse and case manager serve as the transition coordinators. Teach back and medication reconciliation create the information continuity required for safe self management at home. The scheduled appointment and early telephone call close the temporal gap that transitional care theory identifies as the period of greatest risk. The model predicts that higher fidelity to the full bundle will produce lower rates of early return because each activity reduces a specific source of discontinuity. Moderating factors such as health literacy and social support remain relevant, yet the standardized sequence of activities addresses the structural features of the discharge transition itself.

Implementation Timeline and Resources

A twelve week pilot on two telemetry units provides a realistic test. Weeks 1 and 2 cover staff training on teach back scripts, reconciliation workflow, and telephone call protocols. Weeks 3 through 10 constitute the active intervention period. Weeks 11 and 12 focus on data extraction and initial analysis. Required personnel include existing unit nurses, case managers, and one pharmacist liaison already assigned to the service. Materials consist of laminated teach back cue cards, a simple paper or electronic checklist, and printed education sheets already available through the health system. No new software or remote monitoring devices are required.

Budget estimates remain modest. Training time for twelve nurses totals approximately 24 hours at average staff nurse rates. Checklist printing and cue cards cost under 200 dollars. Telephone follow up uses existing unit phones and staff already scheduled for discharge related duties. Cost avoidance calculations rest on the average expense of a heart failure readmission, commonly reported in the range of 10 000 to 15 000 dollars per event. A reduction of even three avoidable readmissions during the pilot period offsets the modest incremental costs of training and materials.

Data Collection and Evaluation Plan

Primary outcome is the thirty day all cause and heart failure specific readmission rate for patients who receive the full bundle, compared with historical unit rates for the same diagnosis related groups. Process measures include percentage of patients who complete teach back documentation, percentage with completed medication reconciliation and predischarge prescription delivery, percentage with a scheduled follow up appointment before discharge, and percentage contacted by telephone within 72 hours. Balancing measures track average length of stay and staff overtime hours related to discharge activities so that any unintended operational burden becomes visible.

Data sources include the electronic health record for readmission flags and appointment documentation, the discharge checklist for process fidelity, and a brief nurse log for telephone contacts. Human subjects protection follows quality improvement pathways already approved within the organization; no additional informed consent beyond standard care is required when the intervention constitutes an enhancement of existing discharge practice. Analysis uses simple pre post comparison of rates with confidence intervals, supplemented by fidelity tracking that examines the relationship between number of completed bundle elements and readmission status. Success is defined as a measurable decline in the thirty day rate accompanied by process compliance above 80 percent for each component.

Synthesis of Supporting Evidence

Across recent studies the pattern is consistent. Standardized checklists and nurse led bundles reduce short term readmissions when fidelity is maintained. Multidisciplinary programs achieve similar reductions but require more personnel. Technology adjuncts such as lung ultrasound or intensive remote monitoring do not automatically improve thirty day outcomes beyond the foundational elements of education, reconciliation, and early contact. The evidence therefore supports a focused, nurse controlled intervention that prioritizes delivery of the full set of components over expansion of the component list itself.

The proposal remains deliberately limited in scope so that a clinical leader can execute it with existing staff and minimal new expenditure. Fidelity monitoring is built into the evaluation plan rather than treated as an afterthought. When the four components operate as a coordinated sequence, the discharge transition shifts from a collection of isolated tasks to a single, measurable process aimed at preventing the returns that consume capacity and erode patient stability.

References

Lindsey, J. and Welch, T. (2025) ‘Reducing 30-day acute care readmissions for heart failure patients through implementation of a discharge bundle’, Professional Case Management, 30(3), pp. 81–92. Available at: https://doi.org/10.1097/NCM.0000000000000766

Oh, E.G., Lee, J.Y., Lee, H.J. and Oh, S. (2023) ‘Effects of discharge education using teach-back methods in patients with heart failure: A randomized controlled trial’, International Journal of Nursing Studies, 140, 104453. Available at: https://doi.org/10.1016/j.ijnurstu.2023.104453

Oh, S., Choi, H., Oh, E.G. and Lee, J.Y. (2023) ‘Effectiveness of discharge education using teach-back method on readmission among heart failure patients: A systematic review and meta-analysis’, Patient Education and Counseling, 107, 107559. Available at: https://doi.org/10.1016/j.pec.2022.11.001

Van Spall, H.G.C., Rahman, T., Mytton, O., Ramasundarahettige, C., Ibrahim, Q., Kabali, C., Coppens, M., Haynes, R.B. and Connolly, S.J. (2023) ‘Comparative effectiveness of transitional care services in patients discharged from the hospital with heart failure: A systematic review and network meta-analysis’, European Journal of Heart Failure, 25(4), pp. 545–558. Available at: https://doi.org/10.1002/ejhf.2827

Li, Y. et al. (2021) ‘Effects of nurse-led transitional care interventions for patients with heart failure on healthcare utilization: A meta-analysis of randomized controlled trials’, PLoS ONE, 16(12), e0261300. Available at: https://doi.org/10.1371/journal.pone.0261300

Craigo, C.L. et al. (2025) ‘A multidisciplinary transition of care approach to reduce 30-day readmissions in heart failure patients’, Heart & Lung, 71, pp. 76–80. Available at: https://doi.org/10.1016/j.hrtlng.2025.03.001

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Abstract

Heart failure remains the leading cause of preventable hospital readmissions among Medicare beneficiaries in the United States. Approximately one in four adults hospitalized for acute decompensated heart failure returns within thirty days, generating excess cost and clinical risk. Nurses coordinate the majority of discharge teaching and transition planning, yet current practice often lacks standardization. This capstone proposal presents a nurse-led, four-component discharge bundle designed to reduce avoidable thirty-day readmissions among adult congestive heart failure patients in an acute care setting. The bundle integrates structured teach-back education, predischarge medication reconciliation, guaranteed follow-up appointment scheduling, and post-discharge telephone follow-up. Naylor’s Transitional Care Model provides the conceptual framework, emphasizing patient-centered handoffs, continuity, and early risk detection. Evidence from ten peer-reviewed studies published between 2018 and 2026 supports each component. The proposal includes a sixteen-week implementation timeline, a line-item budget justified by cost-avoidance logic, and a mixed-methods evaluation plan tracking outcome, process, and balancing measures. Fidelity monitoring is embedded throughout, reflecting the dose-response patterns observed in prior bundle implementations. If executed with consistent fidelity, this intervention appears likely to produce measurable reductions in avoidable readmissions while preserving patient safety and organizational financial stability.

Section A: Problem Description

Magnitude of the CHF Readmission Problem

Heart failure currently affects roughly 6.7 million Americans over the age of twenty, and projections suggest this figure will reach 8.7 million by 2030 (Bozkurt et al., 2024). Hospitalization for acute decompensated heart failure marks a dangerous turning point in the illness trajectory. Nearly twenty-five percent of patients discharged after such an admission return to the hospital within thirty days (Martin et al., 2024). These returns cluster in the first seven to fourteen days, a window when patients remain vulnerable to medication confusion, unresolved congestion, and unaddressed social barriers. Readmissions on this scale consume inpatient capacity, expose patients to additional harm, and trigger financial penalties under Medicare’s Hospital Readmissions Reduction Program.

Clinical and Financial Consequences

The economic weight of these events is substantial. Kwok et al. (2021) analyzed over 2.6 million heart failure hospitalizations in the United States and reported a mean total cost of $13,807 for index admissions, with costs climbing to $15,618 for patients who experienced a thirty-day readmission. Reinhardt et al. (2022) examined Medicare episode spending and found that median thirty-day payments following heart failure discharge reached $13,330, with substantial variation across beneficiary cohorts. Beyond dollars, each readmission erodes functional reserve. Patients who bounce back suffer higher rates of hospital-acquired infection, deconditioning, and medication discrepancy. Over the subsequent year, they report lower quality of life and higher mortality than patients who stabilize after the index stay. The burden falls heaviest on older adults with limited health literacy, scant social support, or multiple comorbidities.

The Practice Gap

At the target acute care facility, adult patients discharged with a primary diagnosis of congestive heart failure currently experience a thirty-day readmission rate of approximately twenty-two percent. This figure exceeds the national benchmark and signals a systematic failure in the discharge transition. Existing practice relies on individual nurse initiative rather than a standardized workflow. Teach-back occurs inconsistently; some patients receive thorough validation of understanding, while others hear a brief monologue at the bedside. Medication reconciliation depends on pharmacist availability and physician responsiveness, producing uneven completion rates. Follow-up appointments are frequently left for patients to arrange after they reach home, a task many cannot complete due to cognitive burden, transportation limits, or lack of a primary care relationship. Post-discharge telephone contact is documented sporadically, often omitted on weekends or when staffing runs thin. Evidence-based components appear in policy manuals but not in performance dashboards.

Significance for Nursing Practice

Nurses coordinate approximately ninety percent of discharge education and transition communication in acute care settings. Standardization does not replace clinical judgment; it supports it. When discharge processes vary by shift, patient outcomes vary by chance. A nurse-led standardized intervention aligns frontline expertise with organizational accountability. Reducing avoidable readmissions falls squarely within the nursing domains of care coordination, patient education, and transition management. Furthermore, nurses possess the therapeutic relationships required to detect misunderstanding, fear, or social barriers before they precipitate crisis. Building a discharge bundle around nursing practice leverages existing workforce strength rather than importing an external consulting structure.

Problem Statement

At the target acute care facility, adult patients discharged with a primary diagnosis of congestive heart failure experience a thirty-day readmission rate of approximately twenty-two percent, reflecting inconsistent discharge processes that omit structured teach-back, predischarge medication reconciliation, guaranteed follow-up appointment scheduling, and timely post-discharge telephone follow-up.

Purpose Statement

The purpose of this capstone project is to develop, implement, and evaluate a nurse-led standardized discharge bundle that integrates four evidence-based components to reduce avoidable thirty-day congestive heart failure readmissions within a sixteen-week implementation cycle.

Section B: Solution Description

Overview of the Proposed Bundle

The proposed intervention is a nurse-led discharge bundle designed for adult patients hospitalized with acute decompensated heart failure. A bundle differs from a checklist because its components interact. Education without accurate medication reconciliation leaves patients with knowledge and wrong pills. A scheduled follow-up appointment without teach-back sends patients to a clinic they do not understand. The intervention therefore specifies four core components delivered in sequence before and after discharge: structured teach-back education, predischarge medication reconciliation, guaranteed follow-up appointment scheduling, and post-discharge telephone contact. A discharge navigator will track bundle completion daily to ensure fidelity.

Component 1: Structured Teach-Back Education

Nurses will deliver focused heart failure education using the teach-back method prior to discharge. The session will cover daily weight monitoring, symptom recognition for fluid overload, sodium restriction, medication purpose, and explicit instructions on when to call the clinic. After explaining each domain, the nurse will ask the patient to explain the concept in their own words. If the patient cannot correctly describe weight parameters or medication action, the nurse will re-teach and reassess. Oh et al. (2023) demonstrated in a randomized controlled trial that this method improves heart failure self-care and reduces readmission compared with standard discharge instruction. Each session will last thirty to forty-five minutes and will be documented in the electronic health record with a fidelity checkbox indicating that teach-back was attempted, patient response, and any required remediation.

Component 2: Predischarge Medication Reconciliation

A clinical pharmacist or nurse trained in formulary review will reconcile all heart failure medications before discharge. The process includes comparing the home medication list, inpatient orders, and discharge prescriptions; identifying discrepancies in diuretic dose, beta-blocker initiation, or angiotensin receptor-neprilysin inhibitor omission; and counseling the patient on any changes. Robinson et al. (2023) incorporated pharmacist-led reconciliation into a standardized bundle and reported improved adherence to guideline-directed medical therapy at discharge. Medication reconciliation will occur within twenty-four hours of anticipated discharge, with results communicated to the attending physician for final order verification. Patients will receive a printed medication list with indications and dosing schedules matched to the teach-back session.

Component 3: Guaranteed Follow-Up Appointment Scheduling

A transitions coordinator or bedside nurse will schedule a follow-up appointment with cardiology, primary care, or a heart failure clinic before the patient leaves the hospital. The appointment will occur within seven days of discharge. Garnier et al. (2018) observed that patients who completed a structured transition plan, including early outpatient follow-up, experienced lower rates of potentially avoidable readmission than non-completers. Scheduling before discharge removes the burden from patients, many of whom lack transportation clarity or phone access immediately after hospitalization. Confirmation of the appointment will be printed on the discharge paperwork and transmitted to the outpatient clinic through the electronic health record. If the patient lacks a primary care provider, the navigator will facilitate a warm handoff to a community clinic or resident continuity panel.

Component 4: Post-Discharge Telephone Follow-Up

A registered nurse will telephone the patient forty-eight to seventy-two hours after discharge and again at ten to fourteen days. The call will assess medication adherence, daily weight trends, symptom status, and appointment attendance. Dinh et al. (2019) included a two-week follow-up call in their teach-back self-management intervention and found significantly greater knowledge and self-care maintenance in the intervention group. These calls serve as a safety net. Early detection of rising weight or confusion about diuretic timing allows for outpatient intervention before decompensation requires readmission. Calls will follow a standardized script and will be documented in a secure log. Patients who do not answer will receive up to three attempts; unanswered calls will trigger an alert to the discharge navigator for outreach escalation.

Bundle Integration and Fidelity Monitoring

The four components form a single workflow rather than four isolated tasks. A discharge navigator will round on eligible patients daily to track bundle completion. Fidelity monitoring will include direct observation of teach-back sessions, audit of medication reconciliation completion, confirmation of scheduled appointments, and review of telephone call logs. Lindsey et al. (2024) reported a dose-response pattern in their discharge bundle: patients who avoided readmission completed more bundle components than those who returned. Partial implementation likely produces partial benefit. The proposal therefore treats fidelity as an outcome variable, not an assumption. Weekly huddles will review bundle compliance rates and barriers to completion.

Budget and Timeline Logic

The intervention requires sixteen weeks. Months one and two will focus on electronic health record build, staff training, and pilot testing on a single medical-surgical unit. Months three and four will expand to all congestive heart failure patients and incorporate full fidelity monitoring. One-time costs include education material design and documentation modifications. Recurring costs cover partial salary support for a discharge navigator and pharmacist time. The budget logic rests on cost avoidance. Preventing three readmissions over four months offsets the entire program expense, since each readmission costs approximately $15,000 (Kwok et al., 2021). A detailed timeline and budget appear in Section E.

Section C: Critical Appraisal and Evaluation Table

Evidence Summary

The following table presents a critical appraisal of ten peer-reviewed studies or systematic reviews published between 2018 and 2026. Each entry includes design, sample, intervention, outcomes, limitations, and level of evidence. The selected studies represent a range of methodologies, settings, and intervention foci to provide a balanced view of what works, what does not, and under what conditions.

Author (Year)	Design	Sample and Setting	Intervention	Outcomes	Limitations	Level of Evidence
Oh et al. (2022)	Systematic review and meta-analysis	12 studies; mixed hospital settings	Teach-back discharge education for heart failure	Reduced 30-day readmission; improved knowledge and self-care	Heterogeneous interventions; moderate publication bias; variable follow-up periods	I
Oh et al. (2023)	Randomized controlled trial	100 patients; single center in South Korea	Teach-back method versus conventional discharge education	Improved self-care behavior; lower readmission rates in intervention group	Single center; small sample; short follow-up	II
Dinh et al. (2019)	Cluster randomized controlled trial	140 patients; six hospital wards in Vietnam	Teach-back education, booklet, diary, and 2-week phone call	Greater knowledge and self-care maintenance at 3 months	Single site; limited generalizability to US settings; cluster design with intra-class correlation	II
Van Spall et al. (2019)	Stepped-wedge cluster randomized trial	2,495 patients; ten hospitals in Canada	Patient-centered transitional care services including education and early follow-up	No significant reduction in composite of death, readmission, or ED visit at 6 months overall	High baseline standard of care; possible contamination between clusters; complex intervention	II
Zisis et al. (2024)	Multi-site randomized controlled trial	122 high-risk patients; four hospitals in Australia	Nurse-led disease management plus lung ultrasound-guided decongestion	No improvement in 30-day composite outcome; residual congestion predicted early readmission	Underpowered due to COVID-19 disruptions; high-risk subset only	II
Woodcock et al. (2024)	Interrupted time series with control	15,618 admissions; large London hospital trust	Heart failure admission care bundle: NT-proBNP, echocardiography, specialist review	Reduced emergency readmissions between 7 and 90 days; improved in-hospital mortality	Admission-focused rather than discharge-focused; administrative data reliance	III
Garnier et al. (2018)	Before-and-after study	431 patients; tertiary internal medicine department in Switzerland	Multidisciplinary transition plan with education, reconciliation, and follow-up	No change in overall readmission; lower potentially avoidable readmission in completers	Non-randomized; resource intensive; selection bias in completers	III
Tran et al. (2025)	Quality improvement retrospective analysis	Single center in United States	Pharmacy-driven intervention bundle for heart failure discharge	Reduced hospital readmission rates	Retrospective design; single site; limited control for confounders	III
Robinson et al. (2023)	Quality improvement descriptive study	Single center in United States	Evidence-based bundle to standardize heart failure discharge process	Improved adherence to guideline-directed medical therapy	No control group; descriptive design; limited outcome data on readmissions	IV
Lindsey et al. (2024)	Quality improvement report	Two telemetry units in United States	Four-pronged discharge bundle: case management, education, medication delivery, follow-up	3.85% readmission rate versus 23% national rate; dose-response observed	No control group; observational; potential selection bias in reporting	IV

Synthesis of Evidence Strength and Consistency

The evidence base for teach-back education is the most consistent and strongest. Oh et al. (2022) synthesized twelve studies in a meta-analysis and found measurable reductions in readmission when patients were asked to demonstrate understanding rather than simply receive information. Two subsequent randomized trials confirmed knowledge and self-care gains, although readmission as a primary endpoint varied by setting and follow-up length. The data suggest that teach-back works, but its effect depends on delivery fidelity and integration with other transition supports.

Transitional care bundles produce more variable results. Van Spall et al. (2019) conducted a large stepped-wedge trial across ten Canadian hospitals and found no overall benefit from a patient-centered transitional care service. Similarly, Zisis et al. (2024) added lung ultrasound technology to a nurse-led disease management program and failed to improve thirty-day outcomes. These negative trials are instructive. They suggest that adding complexity or technology to a transitional care program does not automatically improve results, and that the foundational components of discharge planning still carry the weight of the effect. Woodcock et al. (2024) demonstrated that a care bundle can reduce readmissions when implementation is rigorous and evaluation design is robust, but their intervention focused on admission processes rather than discharge transitions.

Quality improvement reports from US settings offer the most directly applicable models. Lindsey et al. (2024) observed a readmission rate of 3.85% among patients who received a full four-component bundle, compared with a national rate near twenty-three percent. Robinson et al. (2023) and Tran et al. (2025) both described improved process outcomes after standardizing discharge workflows. The limitation of these reports is their lack of control groups and susceptibility to selection bias. Nevertheless, the convergence of findings across multiple sites suggests that a nurse-led, standardized bundle addressing education, reconciliation, scheduling, and follow-up is a promising and feasible strategy.

Section D: Conceptual Model

Transitional Care Model as the Guiding Framework

This proposal applies Naylor’s Transitional Care Model as its conceptual foundation. The model was developed specifically for older adults with chronic conditions moving between acute and community settings, making it a natural fit for heart failure discharge planning. Naylor et al. (2004) originally tested the model in a randomized controlled trial of heart failure patients and demonstrated reduced readmissions and lower costs when advanced practice nurses coordinated transitions. The model emphasizes patient-centeredness, continuity across settings, and early identification of risk factors that threaten stability. It does not treat discharge as a single event but as a process spanning forty-eight hours before and several weeks after physical leaving the hospital.

Mapping Constructs to Intervention Activities

The Transitional Care Model contains four core constructs: patient-centered care, continuity, early detection, and caregiver involvement. Each construct maps directly onto a component of the proposed bundle. Patient-centered care appears in the teach-back session, which shifts the burden of proof from the clinician to the patient in a way that respects individual literacy, language, and cognitive capacity. If a patient cannot explain what to do when weight rises by two kilograms in three days, the education has not occurred, regardless of how much time the nurse spent talking. This distinction separates documentation compliance from genuine learning.

Continuity manifests in medication reconciliation and pre-discharge appointment scheduling. Naylor et al. (2017) identified seamless information transfer across settings as a prerequisite for safe transition. Medication reconciliation closes the gap between inpatient and outpatient prescribing, while pre-scheduled appointments ensure that outpatient providers see the patient before decompensation escalates. Without these structural bridges, patients fall into the well-documented chasm between hospital and home.

Early detection is operationalized through the post-discharge telephone calls at forty-eight to seventy-two hours and again at ten to fourteen days. The model predicts that patients are most vulnerable during the first two weeks after discharge, when minor symptoms can progress to crisis without intervention. The telephone script explicitly asks about weight gain, dyspnea, and medication confusion, creating a mechanism for early triage. Finally, caregiver involvement is embedded in the teach-back session, which encourages family members or support persons to attend, listen, and demonstrate understanding alongside the patient. Naylor et al. (2004) found that engaged caregivers buffer the social isolation that drives many readmissions.

Mediating and Moderating Factors

The model also predicts that mediating factors will influence outcomes. Self-care confidence appears to mediate the relationship between teach-back and readmission. Patients who can articulate their plan feel more capable of executing it. Moderating factors include health literacy, social support, and access to transportation. Patients with low literacy or no caregiver may need additional teaching sessions or home health referral. The model therefore does not promise uniform benefit; instead, it directs the intervention team to tailor intensity based on risk. This proposal incorporates that nuance by allowing the discharge navigator to escalate complex patients to case management or palliative care consultation.

Section E: Implementation Timeline and Resources

Implementation Timeline

The project will unfold over sixteen weeks, organized into four phases. Weeks one through four constitute the planning and design phase. During this period, the project leader will convene stakeholders from nursing, pharmacy, cardiology, and information technology to finalize the bundle protocol, modify electronic health record documentation flows, and develop the teach-back script and telephone follow-up template. Weeks five through eight represent the pilot phase. The bundle will launch on one medical-surgical unit with a high volume of heart failure patients. Daily huddles will identify workflow barriers, and the navigator will shadow nurses to refine timing. Weeks nine through twelve mark the expansion phase. After pilot adjustments, the bundle will roll out to all adult units admitting heart failure patients. Fidelity audits will begin, and weekly compliance reports will be distributed to nurse managers. Weeks thirteen through sixteen comprise the evaluation and refinement phase. Outcome and process data will be analyzed, staff feedback will be collected, and the project leader will present findings to the quality council with recommendations for sustainment.

Personnel and Training Requirements

Personnel include a discharge navigator, a clinical pharmacist, bedside registered nurses, and information technology support. The discharge navigator will devote twenty hours per week to patient rounding, bundle tracking, and telephone follow-up oversight. A clinical pharmacist will dedicate ten hours per week to medication reconciliation review and staff education. Bedside nurses will deliver teach-back and initial reconciliation; no additional full-time equivalent hires are required because the bundle integrates into existing roles. Information technology support is needed for sixteen hours total to build documentation flows and run reports. Training will occur in two-hour sessions during weeks two and three. All nurses on target units will complete a teach-back competency validation and a medication reconciliation checklist review.

Resource List and Budget Justification

Item	Cost Basis	Amount (USD)
Discharge navigator (0.5 FTE, 16 weeks)	$45/hour × 20 hours/week × 16 weeks	$14,400
Clinical pharmacist oversight (0.25 FTE, 16 weeks)	$60/hour × 10 hours/week × 16 weeks	$9,600
Education materials (booklets, scales, printing)	One-time design and 200 patient kits	$2,000
Telephone follow-up staff time	$35/hour × 5 hours/week × 16 weeks	$2,800
Staff training (20 nurses, 2 hours, plus trainer)	$35/hour × 40 hours + $1,000 trainer stipend	$2,400
Electronic health record documentation build	IT analyst time, one-time	$3,000
Data analysis and reporting software	Existing license, no new cost	$0
Total		$34,200

The budget rests on a cost-avoidance argument. Kwok et al. (2021) established that a single heart failure readmission adds approximately $15,618 to total episode cost. Preventing three readmissions during the sixteen-week cycle therefore generates roughly $46,854 in avoided expense, exceeding the total program cost. If the intervention prevents five readmissions, cost avoidance rises to $78,090. Recurring costs after the initial cycle will drop because training and electronic health record build are one-time expenses. The navigator position may be absorbed into existing care coordination infrastructure if the intervention demonstrates sustained benefit.

Section F: Data Collection and Evaluation Plan

Data Collection Methods and Sources

The evaluation will draw on three data sources: electronic health record reports, institutional administrative billing data, and a structured telephone follow-up log. Electronic health record reports will capture process measures including teach-back completion, medication reconciliation timestamps, and follow-up appointment scheduling status. Administrative billing data will supply thirty-day readmission flags and length-of-stay metrics. The telephone log will document call attempts, patient reach status, symptom reports, and escalation actions. Data will be collected retrospectively for the twelve weeks preceding implementation to establish a baseline and prospectively throughout the sixteen-week intervention period.

Protection of Human Subjects

This project qualifies as quality improvement rather than human subjects research under the institutional policy governing educational capstone projects. No patient identifiers will appear in aggregated reports. Individual patient data will be stored on a password-protected hospital server accessible only to the project leader and the quality improvement director. Telephone follow-up scripts will avoid recording sensitive psychosocial details beyond what is necessary for clinical triage. Staff feedback will be collected voluntarily and anonymized. If any unexpected findings suggest patient harm, the project leader will report them immediately to the patient safety officer and the institutional review board.

Outcome, Process, and Balancing Measures

Outcome measures include the primary metric of thirty-day all-cause readmission rate among adult patients discharged with a primary diagnosis of congestive heart failure. This rate will be calculated as the number of thirty-day readmissions divided by the number of index discharges, expressed as a percentage. Process measures include bundle fidelity indicators: percentage of eligible patients receiving teach-back documentation, percentage with completed medication reconciliation, percentage with a follow-up appointment scheduled before discharge, and percentage receiving at least one post-discharge telephone contact. Balancing measures include length of stay for the index admission and nursing time to complete discharge documentation. These balancing measures guard against the unintended consequence of prolonging hospitalization or increasing administrative burden.

Analysis Strategy

Descriptive statistics will summarize patient demographics, comorbidities, and discharge disposition. The primary analysis will compare thirty-day readmission rates during the twelve-week baseline period with rates during the sixteen-week intervention period using a chi-square test or Fisher exact test depending on cell sizes. A secondary interrupted time-series analysis will plot weekly readmission rates to detect trend shifts coinciding with the pilot and expansion phases. Process measure compliance will be reported as percentages with ninety-five percent confidence intervals. Fidelity data will be analyzed as a continuous variable to test the dose-response hypothesis suggested by Lindsey et al. (2024). If bundle completion correlates with readmission risk, the finding will support treating fidelity as an active ingredient rather than an implementation detail. All analyses will be performed using the institution’s statistical software, with assumptions checked prior to inference.

Section G: Proposal Instruments and Appendices

The following appendices supplement the body of the proposal and are referenced throughout:

• Appendix A: Teach-Back Education Script and Competency Checklist
• Appendix B: Medication Reconciliation Workflow and Discharge Checklist
• Appendix C: Follow-Up Appointment Scheduling Protocol
• Appendix D: Post-Discharge Telephone Follow-Up Script
• Appendix E: Critical Appraisal Checklists for Selected Studies
• Appendix F: Evaluation Table (Expanded Version)
• Appendix G: Transitional Care Model Construct Map
• Appendix H: Gantt Chart Implementation Timeline
• Appendix I: Line-Item Budget Justification with Cost-Avoidance Calculations
• Appendix J: Data Collection Tools and Fidelity Audit Form

Each appendix is labeled and referenced in the relevant section. The teach-back script in Appendix A aligns with the content validated by Oh et al. (2023). The medication reconciliation workflow in Appendix B reflects the bundle components described by Robinson et al. (2023). The telephone script in Appendix D operationalizes the early detection construct of the Transitional Care Model. The fidelity audit form in Appendix J enables the dose-response analysis recommended by Lindsey et al. (2024). Together, these instruments provide the operational detail required for replication by another nurse leader.

References