NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation

Capella University NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation– Step-By-Step Guide

This guide will demonstrate how to complete the Capella University  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

How to Research and Prepare for NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation

Whether one passes or fails an academic assignment such as the Capella University  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation  depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

How to Write the Introduction for  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation 

The introduction for the Capella University  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation  is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

How to Write the Body for  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation

After the introduction, move into the main part of the  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation  assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.

How to Write the Conclusion for  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation 

After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

How to Format the References List for  NURS FPX 4040 Assessment 4 Data Review Project Report and Presentation 

The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

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Sample Answer for 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):

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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)

Value Proposition to the Organization

The project will aim at reducing the rates of readmission among patients with mental health issues by analyzing the data trends to reveal the organizational causes.

Value Proposition/Contribution to My Professional Interests/Goals

The project will help develop my data analysis skills for quality improvement in various care settings.

Background: Review of the Literature

Data Analysis Framework

The chosen framework for data analysis is the balanced scorecard framework. The reason for choosing this framework is that the proposed possible solution to the problem of psychiatric readmissions will be like a new service line. The solution will need to be implemented in the organization to help overcome the problem. The balanced scorecard framework is key in effectively analyzing performance data with varying complexity (Psarras et al., 2020).

Presentation of the Graphics

Overview

Hospital readmissions in psychiatric health settings lead to various adverse outcomes such as higher health care spending and possible exposure to hospital-acquired infections. Various data will be used to illustrate the problem. Some of them include rates of readmission within 30-days of discharge, readmission within 100-days of discharge, total unplanned readmissions, and average monthly readmissions.

 [Graphic #1]: A graph indicating daily readmission incidences for the local health facility. The targeted year is 2021

 [Graphic #2] A line curve showing the total readmissions within 30-days of discharge and 100 days of discharge for the local health facility. The year of focus is 2021.

Balanced Scorecard

Organization’s Directional Strategy: (Growth, Reduction, Quality Leader, et cetera)

Analysis of the Data

The presented graphs are relevant and important to the project and the objectives. Graphic one shows daily readmission incidences for the year 2021. The graph indicates the monthly readmission rates for the psychiatric unit. While the month with the lowest tally is October, May had the highest incidence at 28%. The second graph, graphic 2, indicates the readmission rates within 30 days and 100 days of patient discharge for the year 2021. While July had the highest readmission within 30 days of discharge, the highest rate of readmission within 100 days of discharge was observed in April.

Evidence-Based Recommendations

As earlier indicated, hospital readmissions among patients with mental illnesses have various negative impacts. As such, there have been various evidence interventions used in attempts to contain the problem.

1. One of such evidence-based recommendations is the use of a comprehensive education initiative during patient discharge. As part of the initiative, the patients and their family members are taught about various aspects such as correct medication use, the importance of medication adherence, and effective symptom management (Benjenk & Chen, 2018).
2. The next intervention is physical health telemonitoring, which enables the healthcare professionals to remotely monitor the patients and make appropriate therapeutic decisions that can help in preventing readmissions (Benjenk & Chen, 2018).
3. Groups and individual psychotherapy sessions for discharged patients can help in reducing the chances of readmissions (Benjenk & Chen, 2018).

From the evidence-based recommendations mentioned, it is key that the organization implements realistic strategies. In addition, the chosen strategy should well be within the financial capability of the organization to avoid putting pressure on the already available limited resources.

Conclusion

The problems experienced in clinical health settings usually put patient safety at risk hence calling for effective interventions that can be used to solve such problems. Therefore, this project has focused on hospital readmission among patients with mental illnesses. Hospital readmissions have been shown to lead to various problems, such as increased healthcare spending. Therefore, applying an intervention was to hopefully reduce such spending by at least fifty percent. Hospital readmissions are a widespread problem, both in the USA and the world. The implication is that the healthcare industry is heavily and negatively impacted by the problem, calling for better interventions that can be applied to ensure that the problem is solved. In most cases, various facilities resort to multidisciplinary staff who can come together and use their expertise to perform a proper evaluation and come up with possible solutions (Morris et al., 2018). While some measures have been used to control the hospital-based factors, some have been focused on the factors connected to where patients are living back in their homes to ensure that whatever may enhance the increased rates of readmissions are eliminated. It is important to continue with efforts to control hospital readmissions. Future studies should focus on other strategies for preventing readmissions. For example, real-time monitoring through data mining presents a real opportunity of fighting the problem.

References

Baeza, F. L. C., da Rocha, N. S., & de Almeida Fleck, M. P. (2018). Readmission in psychiatry inpatients within a year of discharge: the role of symptoms at discharge and post-discharge care in a Brazilian sample. General Hospital Psychiatry, 51, 63-70. https://doi.org/10.1016/j.genhosppsych.2017.11.008

Benjenk, I., & Chen, J. (2018). Effective mental health interventions to reduce hospital readmission rates: a systematic review. Journal of Hospital Management and Health Policy, 2. https://doi.org/10.1016/j.jaac.2019.05.024.

Del Favero, E., Montemagni, C., Villari, V., & Rocca, P. (2020). Factors associated with 30-days and 180-days psychiatric readmissions: A snapshot of a metropolitan area. Psychiatry Research, 292, 113309. https://doi.org/10.1016/j.psychres.2020.113309

Edgcomb, J. B., Sorter, M., Lorberg, B., & Zima, B. T. (2020). Psychiatric readmission of children and adolescents: a systematic review and meta-analysis. Psychiatric Services, 71(3), 269-279. https://doi.org/10.1176/appi.ps.201900234.

Han, X., Jiang, F., Tang, Y., Needleman, J., Guo, M., Chen, Y., … & Liu, Y. (2020). Factors associated with 30-day and 1-year readmission among psychiatric inpatients in Beijing China: a retrospective, medical record-based analysis. BMC psychiatry, 20(1), 1-12. Doi: 10.1186/s12888-020-02515-1

Kim, B., Weatherly, C., Wolk, C. B., & Proctor, E. K. (2019). Measurement of unnecessary psychiatric readmissions: a scoping review protocol. BMJ Open, 9(7), e030696. http://dx.doi.org/10.1136/bmjopen-2019-030696

Lassemo, E., Myklebust, L. H., Salazzari, D., & Kalseth, J. (2021). Psychiatric readmission rates in a multi-level mental health care system–a descriptive population cohort study. BMC Health Services Research, 21(1), 1-15. https://doi.org/10.1186/s12913-021-06391-7.

Moore, C. O., Moonie, S., & Anderson, J. (2019). Factors associated with rapid readmission among Nevada state psychiatric hospital patients. Community Mental Health Journal, 55(5), 804-810. Doi: 10.1007/s10597-018-0316-y

Morel, D., Kalvin, C. Y., Liu-Ferrara, A., Caceres-Suriel, A. J., Kurtz, S. G., & Tabak, Y. P. (2020). Predicting hospital readmission in patients with mental or substance use disorders: a machine learning approach. International Journal of Medical Informatics, 139, 104136. https://doi.org/10.1016/j.ijmedinf.2020.104136.

Morris, D. W., Ghose, S., Williams, E., Brown, K., & Khan, F. (2018). Evaluating psychiatric readmissions in the emergency department of a large public hospital. Neuropsychiatric Disease and Treatment, 14, 671. https://dx.doi.org/10.2147%2FNDT.S143004

Ortiz, G. (2019). Predictors of 30-day postdischarge readmission to a multistate national sample of state psychiatric hospitals. Journal for Healthcare Quality, 41(4), 228. https://dx.doi.org/10.1097%2FJHQ.0000000000000162

Psarras, A., Anagnostopoulos, T., Tsotsolas, N., Salmon, I., & Vryzidis, L. (2020). Applying the balanced scorecard and predictive analytics in the administration of a European funding program. Administrative Sciences, 10(4), 102. https://doi.org/10.3390/admsci10040102

Phillips, M. S., Steelesmith, D. L., Campo, J. V., Pradhan, T., & Fontanella, C. A. (2020). Factors associated with multiple psychiatric readmissions for youth with mood disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 59(5), 619-631. https://doi.org/10.1016/j.jaac.2019.05.024.

Upadhyay, S., Stephenson, A. L., & Smith, D. G. (2019). Readmission rates and their impact on hospital financial performance: a study of Washington hospitals. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 56, 0046958019860386. https://dx.doi.org/10.1177%2F0046958019860386.