Chat with us, powered by LiveChat Develop an introduction section that includes the professional nurses? role in identifying practice problems. Select an article from the list - Essayabode

Develop an introduction section that includes the professional nurses? role in identifying practice problems. Select an article from the list

  1. Develop an introduction section that includes the professional nurses’ role in identifying practice problems.
  2. Select an article from the list provided to use as the basis for this assignment.
    1. NOTE: this article and the identified practice problem will be the focus for a theoretical intervention, implementation, and evaluation process using the KTA Framework for Units 5, 6, & 7. In those units, you will apply the practice problem to your clinical setting.
  3. Using the article you selected, identify and state the practice problem.
  4. Provide a discussion that supports the existence and significance of the practice problem you identify within the article.
  5. Locate three (3) additional journal articles that provide additional support for the same/similar practice problem.
  6. Develop a summary of each article that adds support for the existence and significance of the practice problem in healthcare. 
    1. NOTE: the three (3) additional articles you locate and summarize cannot be articles that are referenced in the article you selected from the list
    2. Ideally the 3 additional articles will have a publication date within the last 5 to 10 years.

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Readmission Rates Among Bipolar Patients

Khalifatu Fawehinmi Clark

Herzing University

NU700: Knowledge for Nursing Practice

Michelle English DNP, FNP-BC

September 29, 2024

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Readmission Rates Among Bipolar Patients

Community health organizations are critical to providing mental health care to

individuals in need, focusing on health as an entire being. Abaatyo et al. (2023) report that there

is a high rate of readmissions among bipolar disorder, with 23.8% of patients being readmitted

within 9.4 months after discharge. Therefore, community support and symptom management are

vital. These organizations ensure their services are accessible through delivery at patients’ homes

or local centers. The present paper aims to review the literature available on high readmission

rates related to relapse in bipolar disorder patients and possible factors influencing it and their

impacts.

Practice Setting

Psychiatric mental health nursing care is employed in community health organizations

where the patient with a psychiatric disorder is handled holistically. These settings are readily

available areas where they provide services at the patient’s homes and other community-based

centers (Owusu et al., 2022). The personnel mostly consist of psychiatric nurses, social workers,

and psychologists, ensuring every patient has a therapeutic care plan. These include the

prescription of medicines, stabilizing the client during emergencies, and counseling on mentally

embracing disorders such as anxiety, depression, or schizophrenia. Patients include children

receiving their first psychiatric intervention and adults with long-term illnesses, which makes it

possible to consider current and specific needs while promoting patients’ early recovery in

familiar environments.

Practice Problem Overview

In my current practice setting at a community health organization, a significant problem

observed is the high rate of readmission due to relapse among patients with bipolar disorder.

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Data indicates that approximately 23.8% of patients experience readmission within an average of

9.4 months post-discharge, primarily linked to inadequate community support and symptom

management (Abaatyo et al., 2023). Compounding this include factors like noncompliance to

medication, psychologically related stress, and inadequate health checkups. The consequences

are quite far-reaching; frequent admissions take a toll on patients’ well-being, burden the

healthcare delivery system, and are costly to families and the system. Solving this problem is

vital for patients’ outcome enhancement and resource utilization in mental health services.

Improved community-based interventions and more appropriate discharge planning should

reduce these readmission rates substantially.

Statement of the Problem

Table 1

Problem Statement Development Table

Questions Answers

What is the problem? The problem is the high rate of readmission

due to relapse among patients with bipolar

disorder.

Who does this affect? This issue affects patients with bipolar

disorder, their families, and the healthcare

system.

How does this problem make you feel? It is concerning and frustrating, as it

highlights gaps in care and support for

vulnerable individuals.

When is it a problem? It becomes a problem during and after

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hospital discharge when patients struggle with

ongoing management.

Why should I care? Addressing this issue is vital for improving

patient outcomes, reducing healthcare costs,

and enhancing community well-being.

How does it affect the customer? It leads to decreased quality of life for

patients, increased stress for families, and a

lack of trust in the healthcare system.

The high rate of readmission due to relapse among patients with bipolar disorder affects

approximately 23.8% of individuals within 9.4 months post-discharge (Murray et al., 2020;

Johnson et al., 2021). This problem poses a significant challenge to both patient well-being and

healthcare resources.

Literature Overview of the Problem

The problem of treatment and readmissions because of relapse in patients with bipolar

disorder has drawn much attention within the last few years in the field of psychiatry, and there

is evidence of multiple factors associated with this ongoing issue. BD is a manic-depressive

illness marked by disruptions of bipolar syndrome in terms of management, where prognosis

strongly predicts hospitalization. Conducted examinations also show a high percentage

readmission rate, and relapse among bipolar individuals can be as high as 69.4% within the first

year after discharge (Abaatyo et al., 2023). Such frequency not only supports the view on a

chronic character of the disorder but also underlines the shortcomings of the existing treatment

strategies.

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The identified predictors of readmission include comorbid psychiatric disorders,

noncompliance to medication, and lack of support on discharge. For instance, Palacios-Ariza et

al. (2023) found that patients with bipolar disorder have higher readmission rates if they also

have personality disorders or alcohol dependency. Also, patient readmission is influenced by the

length of different hospitalizations and the quality of discharge plans (Palacios-Ariza et al.,

2023). These findings suggest that before setting off the severe acute phase of bipolar disorder,

the coping interventions must factor in such psychosocial factors that provoke relapse.

Despite the growing availability of data showing these trends, there is still a significant

lack of knowledge about the approaches that can be applied to decrease readmission rates.

Comprehensive models that include these identified service types in usual practice have not been

established. However, some researchers have paid attention to the effectiveness of community-

based care and crisis intervention services (Taban et al., 2024). This gap signifies that there is

still a dire lack of studies emerging on the identification of effective relapse prevention and

management of hospital readmission risks.

Moreover, the possible use of machine learning for discharging hospital admissions for

treatment of bipolar disorder-related symptoms has not been adequately investigated (Palacios-

Ariza et al., 2023). An opportunity for predictive analytics to help alert carers to specific patients

before a crisis arises may bring about a major change in the delivery of care in psychiatric

facilities. However, existing research gives relatively little information about the real-life

application of such technology in psychiatric healthcare. Further, the role of culture and context

is well understood to impact the management of bipolar disorder and its related readmission

rates. Low-resource settings like Uganda require studies that analyze data from such settings to

determine how the patterns of the symptoms can be used to predict readmissions (Abaatyo et al.,

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2023). It is important to appreciate these dynamics in the effort to design community-based

interventions that might help reduce the raw effects of BD on people and health delivery

systems.

Therefore, the present study aims to find out the prevalence of readmissions in bipolar

disorder patients and the factors that lead to rehospitalization and to fill the important gap in the

literature focusing on intervention strategies. Future research should focus on modeling whole

system solutions and using advanced analytics in planning, designing, and delivering community

care strategies to address this issue. In so doing, it becomes possible to improve the quality of

patient care, thus decreasing the strain that contemporary healthcare systems have as a result of

repeated readmissions in bipolar disorder.

Implications

The implications of high readmission rates in bipolar disorder patients are not only

significant for the patients themselves but also concern healthcare practitioners and practice

environments. For patients, repeated admissions only worsen their mental status, increase

stigmatization, and decrease their quality of life since the illness is chronic (Berghöfe et al.,

2020). Many struggles are experienced in managing these cases through increased frustration

resulting from limited effective interventions and resources for healthcare givers, leading to

burnout (Berghöfe et al., 2020). From real-world experiences, high readmission levels are not

only resource-demanding and expensive but also provide suboptimal patient care by drawing

much attention and effort away from other clients (Abaatyo et al., 2023). Therefore, the cycle of

relapse and readmission means that there is an urgent need to address current and future better

care for strategies and support systems for bipolar disorder.

Conclusion

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The high rate of readmission due to relapse among patients with bipolar disorders shows

that there are many deficiencies as regards community support and symptom control. Several

factors have been identified explaining the problem, such as medication non-adherence and

insufficient discharge planning, which have also been discussed, as well as the paramount

importance of effective community-based interventions. By addressing these challenges, the

specific healthcare system boosts the quality of life of the patients and, in return, reduces

readmission cases. Finally, improving the care of bipolar disorder patients is helpful to their

well-being and austerity, as well as to efficiently use scarce healthcare resources to build a strong

community mental health system.

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References

Abaatyo, J., Kaggwa, M. M., Favina, A., & Olagunju, A. T. (2023). Readmission and associated

clinical factors among individuals admitted with bipolar affective disorder at a psychiatry

facility in Uganda. BMC Psychiatry, 23(1), 474. https://doi.org/10.1186%2Fs12888-023-

04960-0

Berghöfer, A., Martin, L., Hense, S., Weinmann, S., & Roll, S. (2020). Quality of life in patients

with severe mental illness: A cross-sectional survey in an integrated outpatient health

care model. Quality of Life Research, 29, 2073-2087. https://doi.org/10.1007/s11136-

020-02470-0

Owusu, E., Oluwasina, F., Nkire, N., Lawal, M. A., & Agyapong, V. I. (2022, September).

Readmission of patients to acute psychiatric hospitals: Influential factors and

interventions to reduce psychiatric readmission rates. In Healthcare (Vol. 10, No. 9, p.

1808). MDPI. https://doi.org/10.3390%2Fhealthcare10091808

Palacios-Ariza, M.A., Morales-Mendoza, E., Murcia, J., Arias-Duarte, R., Lara-Castellanos, G.,

Cely-Jiménez, A., Rincón-Acuña, J.C., Araúzo-Bravo, M.J. & McDouall, J. (2023).

Prediction of patient admission and readmission in adults from a Colombian cohort with

bipolar disorder using artificial intelligence. Frontiers in Psychiatry, 14, 1266548.

https://doi.org/10.3389/fpsyt.2023.1266548

Taban, M., Nooraeen, S., Tanha, K., Moradi-Lakeh, M., & Malakouti, S. K. (2024).

Effectiveness and cost-effectiveness of community-based mental health services for

individuals with severe mental illness in Iran: A systematic review and meta-

analysis. BMC Psychiatry, 24(1), 256. https://doi.org/10.1186/s12888-024-05666-7

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Criteria

Ratings

Pts

This criterion is linked to a Learning Outcome

Topic

Addresses all components of the assignment.

40 to >37.9 pts

Advanced

Comprehensively addresses all components of the assignment.

37.9 to >31.9 pts

Competent

Addresses all or most components of the assignment adequately and/or components are not addressed or not addressed comprehensively.

31.9 to >0.0 pts

Emerging

Addresses all or most components of the assignment but not adequately and/or components are not addressed.

0 pts

Incomplete

Missing or Assignment was not submitted and/or not submitted on time

40 pts

This criterion is linked to a Learning Outcome

Support and Evidence

Uses evidence to support main tenets, points, or arguments presented in the assignment.

40 to >37.9 pts

Advanced

Uses comprehensive, appropriate evidence to support the main tenets of the assignment.

37.9 to >31.9 pts

Competent

Uses adequate but minimal evidence to support the main tenets of the assignment and/or the evidence cited is weak, unrelated, or does not support the part of the assignment in which is it cited.

31.9 to >0.0 pts

Emerging

Does not adequately use appropriate evidence to support the main tenets of the assignment.

0 pts

Incomplete

Missing or Assignment was not submitted and/or not submitted on time

40 pts

This criterion is linked to a Learning Outcome

Organization and Coherence

Uses a logical progression of ideas and presents a clear articulation of main tenets. Almost entirely free of spelling, punctuation, and grammatical errors.

Written coherently, using APA format or another

format as required.

35 to >33.25 pts

Advanced

Clear, logical, coherently written and appropriately formatted

33.25 to >28.0 pts

Competent

Assignment has some organizational, writing, and/or APA problems which distract from its flow and understandability.

28 to >0.0 pts

Emerging

Assignment has many organizational, writing, and/or APA problems which distract from its flow and understandability.

0 pts

Incomplete

Missing or Assignment was not submitted and/or not submitted on time

35 pts

This criterion is linked to a Learning Outcome

Cumulative Impression

The assignment, as a whole, is scholarly, compelling, and impressive.

35 to >33.25 pts

Advanced

The assignment as whole reflects graduate level scholarship. It is compelling, impressive, and contributes to expansion of knowledge.

33.25 to >28.0 pts

Competent

The assignment as whole is adequate as graduate level scholarship but needs polishing. It does not reflect a clear contribution to expansion of knowledge.

28 to >0.0 pts

Emerging

The assignment is unclear or inadequately structured with multiple content, organizational, writing, or APA problems.

0 pts

Incomplete

Missing or Assignment was not submitted and/or not submitted on time

35 pts

Graduate Assignment Rubric – 150 Points (2)

Graduate Assignment Rubric – 150 Points (2)

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