MHA FPX 5020 Assessment 2 Capstone Project Proposal

Failure to effectively plan for discharge and inadequate care coordination can lead to higher 30-day readmission rates, healthcare costs, and patient outcomes.

SOURCE (APA format required)

RELEVANCE STATEMENT

The results of this study demonstrate the necessity of a well-coordinated post-discharge care team because of its impact on 30-day readmission rates.

This meta-analysis provides further evidence for the importance of continuity of care after discharge and the benefits of follow-up visits, supporting the results.

This research has shown that inadequate team dynamics in the discharge planning process can result in ineffective discharge and elevated rates of rehospitalization.

The findings of this research can be used to coordinate teams of structured discharge plans, which leads to better outcomes and fewer readmissions.

The findings in this article show that readmission rates can be decreased and outcomes for patients improved through effective discharge planning interventions.

This systematic review aims to find strategies for discharge support that are effective in enhancing patient satisfaction and to decrease the readmission rates.

These findings show that PCDS are effective in increasing understanding and decreasing complications when patients are discharged.

This research area emphasises the issues surrounding discharge from several angles and outlines some differences that result in poor discharge outcomes.

This has been demonstrated to provide better outcomes and reduce hospital readmissions in this study.

This article connects good care planning with successful outcomes on discharge and a lessened risk of readmission.

The study findings are significant as they show that transitional care interventions have a major impact in lowering health care use and enhancing health care outcomes.

This study examines decision-making for discharge and how it leads to poor decisions, which result in ineffective transition and readmissions.

To create more effective, culturally consistent staffing and training of licensed providers in the community, this article offers some helpful tips.

FACTOR

CAUSAL or CONTRIBUTING

UNIT OF MEASUREMENT (days, $, %, etcetera)

SOURCE

(APA format)

Inadequate discharge planning (e.g., incomplete patient education, unclear instructions)

Casual

% of patients receiving complete discharge instructions; 30-day readmission rate (%)

Poor care coordination between hospital and community providers

Casual

% of patients with documented care coordination; 30-day readmission rate (%)

Lack of timely outpatient follow-up after discharge

Contributing

% of patients attending follow-up visits; days to first follow-up appointment

Ineffective interdisciplinary team communication during discharge

Contributing

% of documented interdisciplinary communication; number of communication gaps/errors

Example: Documentation Accuracy

Causal

% compliance with regulatory standard x

Data Analysis Method

Benchmark Variance Analysis combined with Trend Analysis

Rationale

Variance analysis will be performed using Benchmark data from hospitals to measure how well hospitals are doing at three things: (1) readmissions, (2) discharge planning, and (3) performance with follow-up care. This aids in identifying gaps in performance with regard to care services and discharge. A trend analysis will be used to look at the long-term trends of 30-day readmission rates and to determine whether interventions to prevent readmission had a positive effect after leaving the hospital, and to evaluate the follow-up care. All of the above are ways of finding non-value-added activities, tracking progress, and helping to make informed decisions to minimize hospital readmissions using data.

Source

(APA format)

Factor #1 Examined

30-day hospital readmission rate

Precise Unit of Measurement (days, dollars, %…)

Percentage (%) of patients readmitted within 30 days

Type of Graphic Data Summary (pie chart, bar graph, other)

Bar graph 

Source of Data (APA Format)

Factor #2 Examined

Timeliness of outpatient follow-up after discharge

Precise Unit of Measurement (days, dollars, %…)

Days to first follow-up appointment; Percentage (%) of patients attending follow-up within 7–14 days

Type of Graphic Data Summary (pie chart, bar graph, other)

Line graph

Source of Data (APA Format)

Name of Practicing Healthcare Provider

Dr. Sarah Johnson, DNP, RN

Organization Name

City General Hospital

Organization Address

123 Healthcare Drive, Los Angeles, CA, USA

Organization Website

https://dhs.lacounty.gov/lageneral/

Date of Scheduled Feedback Session

In person, Webconference, Phone Meeting?

April 18, 2026 – Webconference