NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation EXECUTIVE SUMMARY

NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation

EXECUTIVE SUMMARY

Hospital readmission is one of the major problems experienced in the healthcare sector. This problem is even more common among patients who experience or living with mental illnesses. Such high rates of readmissions have been shown to have various negative impacts on patients and healthcare facilities. For example, while the patients end up spending more on care and become more exposed to healthcare-acquired infections, hospitals usually end up having a tainted image.  With reference to patients experiencing mental illnesses,  hospital readmissions lead to adverse consequences such as higher healthcare costs, disruption of the individuals and their families, risk of healthcare-associated infections, increasedlength of stay, and higher mortality rates (Upadhyay et al., 2019).

The key factors directly influencing the problem include average readmissions per unit per month, total unplanned readmissions, and total readmissions. As such, this project focuses on lowering the rates of readmission among patients experiencing mental illnesses. Such a feat is to be achieved through analyzing the data trends to reveal the organizational causes. The implication is that the organization’s data on readmissions have to be studied and necessary interventions applied.  The key performance indicators will be measured as the number of patients readmitted to the facility unplanned, the total number of patients readmitted to the psychiatry units, and the number of readmissions as monthly averages. Through the reduction of the readmission rates, this project aims to add value to the identified organization. For instance, it is hoped that the organizations will have lower spending related to hospital readmissions. In addition, patient satisfaction is expected to improve hence having a long-term positive impact on the hospital’s revenue.

Introduction

In the past decades, two themes that have dominated mental health care are personal recovery and community living for individuals experiencing mental illness. As such, the number of individuals sent back to live in the community has substantially arisen due to deinstitutionalization, especially in developed nations (Lassemo et al., 2021). While the process has been associated with a subjective achievement of meaningful lives, problems have arisen, leading to poor health outcomes among patients with mental health issues. For example, there have been observed rates of hospital readmissions that have further impacts on the patients. Therefore, the purpose of this assignment is to select a topic for the capstone project and describe it. In addition, key performance indicators and outcomes for the proposed project and supporting sources will be explored. Besides, the data analysis framework to be applied is also explored.

Statement of the Problem

Hospital readmissions lead to adverse consequences such as higher healthcare costs, disruption of the individuals and their families, risk of healthcare-associated infections, increased length of stay, and higher mortality rates (Upadhyay et al., 2019):

ALSO READ:

NURS FPX 4040 Assessment 4 Informatics and Nursing-Sensitive Quality Indicators

Key Factors that Directly Influence the Problem

The factors that directly relate to the problem are total readmissions, total unplanned readmission, and average readmissions per unit per month (Upadhyay et al., 2019)

The factor that Directly Relates to the Problem	Precise Unit of Measurement (Days, Dollars, %, etc.)	Authoritative Source(s) for Factor and Unit of Measurement
Total unplanned readmissions	The number of patients readmitted to the facility unplanned	Phillips et al.(2020)
Total readmissions	The total number of patients readmitted to the psychiatry units	Phillips et al.(2020)
Average readmissions per unit per month	Number of readmissions calculated as monthly averages	Phillips et al.(2020)

Value Proposition to the Organization

The project will aim at reducing the rates of readmission among patients with mental