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Week7-AlternateInterventionEvaluationWorksheet-1.docx
NU700-week6.pdf
Week7-AlternateInterventionEvaluationWorksheet-1.docx
NU 700 Assignment: Unit 7 - KTA Part 3 Evaluation Measures
Instructions: Utilize the template to provide responses to each prompt. Please do not include a cover/title page for the assignment.
NAME OF
STUDENT:
Part 1: Questions
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Questions: |
Type Answers in the Spaces below |
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1. State the practice problem, qualitative and/or quantitative data to support its existence and the significance of the problem in healthcare you identified in the primary article only from the Unit 4 assignment (with in-text citation)
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2. Discuss the intervention you identified for the Unit 5 assignment (with in-text citations) and explain why this intervention was the best evidence-based intervention to address the clinical problem if it existed in your clinical practice.
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3. Provide a succinct Aim Statement for the improvement process you would launch for implementing your identified alternate intervention. Use the link below to access IHI Worksheet to guide creation of this succinct (one line) statement. https://www.ihi.org/sites/default/files/2023-11/IHITool_Aim-Statement-Worksheet.pdf
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4. Discuss who will be involved in the improvement process, and why. Utilize a minimum of one resource to support this discussion (in-text citation).
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5. Improvement Measures: · Outcome measures · Process measures · Balancing measures a. What improvement measure(s) will you utilize to evaluate the outcome of implementing your identified alternate intervention?
b. Provide an example of the method(s) you will use to evaluate each improvement measure and include a rationale for why you chose this method.
c. Use the link below to access IHI’s resource on Improvement Measures. https://www.ihi.org/how-improve-model-improvement-establishing-measures
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6. If the AIM of the project was met, what do you envision the long-term outcome would look like for your clinical practice? |
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Part 2: APA Reference List
Please provide a minimum of 3 APA references that correspond with citations within the table. Use APA format.
References
NU700-week6.pdf
1
Implementing Cognitive Behavioral Therapy to Address Adult Obesity in
Outpatient Mental Health Practice.
Michelle Murray
Herzing University
NU-700
Dr. Jessica Clark
12/5/25
2
Implementing Cognitive Behavioral Therapy to Address Adult Obesity in
Outpatient Mental Health Practice
Introduction
The professional nurses should be at the center in formulating, executing, and
assessing the improvement projects that will boost the quality of patient care. Under
clinical practice, nurses are placed in a position to detect trends in patient outcomes,
investigate contributing factors to practice issues and apply evidence to inform
interventions that will facilitate meaningful change. The issue of obesity in adults is a
major and multifaceted clinical challenge, which needs behavioral and psychological
interventions. Nurses in mental health settings have a role to play especially in dealing
with emotional, cognitive, and environmental constructs that promote obesity-related
behaviors.
Review of the Practice Problem Using the Unit 4 Article
According to Roberts and Polfuss (2022), the weight stigma is one of the most
high-reaching elements that impact the progression and maintenance of obesity since
childhood into adulthood. According to their study, children who experience teasing,
negative perceptions about themselves and social judgment are known to have long-
term psychological effects such as anxiety, depression, and low self-esteem which
make them susceptible to maladaptive coping behaviors. Such behaviors are
emotional eating, failure to engage in physical exercises and withdrawal in supportive
healthcare settings all of which increase the risk of obesity in the long run. The article
is very convincing to the idea that obesity is not merely a physical ailment but it is a
3
psychological experience that is informed by stigma. This applies especially to
outpatient mental health, where a large portion of adult patients arrive with emotional
distress, past experiences of trauma, and avoidance behavioral patterns that mirror the
processes outlined by Roberts and Polfuss (2022).
Evidence-Based Intervention and Rationale for Selection
In the Unit 5 assignment, CBT was selected as the primary intervention due to
its strong evidence base for modifying unhealthy eating behaviors, addressing
emotional triggers, and improving self-regulation. CBT is especially appropriate for
mental health practice because patients commonly present with distorted thought
patterns, negative self-talk, and coping behaviors rooted in anxiety, depression, or
trauma, factors closely linked to weight gain and emotional eating.
My clinical practice setting is an outpatient mental health clinic serving adults
with co-occurring disorders, such as depression, binge eating behaviors, trauma, and
anxiety. Within this environment, CBT is advantageous for several reasons. First, it is
a structured, time-limited therapy that fits well within standard treatment sessions
(45–60 minutes). Second, it integrates easily with existing therapeutic modalities.
Third, the intervention directly targets the specific psychological mechanisms, such as
shame, avoidance, and emotional dysregulation, identified in Roberts and Polfuss
(2022) as contributors to lifelong obesity risk.
SWOT Analysis for CBT Implementation
Strengths Weaknesses Opportunities Threats
• Staff familiarity • Limited time for • Potential for • High no-show rates
4
Strengths Weaknesses Opportunities Threats
with CBT methods extended
behavioral
counseling
group-based CBT
programs
in outpatient mental
health
• Integration with
existing mental
health treatment
plans
• Variability in
staff CBT
competency
• Improved
interdisciplinary
collaboration
• Patient stigma and
resistance to weight-
focused discussions
• Strong evidence
base for CBT
effectiveness
• Lack of
structured obesity-
specific CBT
protocols
• Ability to reduce
long-term
comorbidities
• Insurance
limitations for
behavioral weight
interventions
Narrative Discussion of SWOT Analysis
Strengths
CBT is already applied to the outpatient mental health clinic in the case of
anxiety and depression, so the staff is familiar with the key concepts of the strategy.
This facilitates implementation since it minimizes the requirement of a large scale
retraining. Moreover, CBT is complementary to the current plans of treatment which
focus on coping skills, restructuring of thoughts, and emotional regulation. Its great
evidence base also adds more administrative and clinical support to its use (Smith et
al., 2022).
5
Weaknesses
Although the staff are familiar with CBT, they might lack time to implement
obesity-specific behavioral counseling during normal outpatient sessions. Moreover,
clinicians might be familiar with the general concept of CBT, but not all of them are
highly skilled in terms of using CBT in order to change weight-related behaviors,
making the quality of interventions uneven. There is also a weakness of the lack of
standardized protocols to suit obesity in this setting of practice. These weaknesses are
obstacles in the adaptation and implementation steps as per the KTA framework
which needs specific training and organized tools to achieve uniformity.
Opportunities
The implementation of CBT in the case of obesity opens up possibilities of
coming up with group-based programs that enhance accessibility, efficacy, and peer
support. It is also possible that the intervention will strengthen the interdisciplinary
collaboration- uniting nurses, therapists, dietitians, and primary care providers.
Moreover, the successful implementation can help to reduce not only long-term
comorbidities, including diabetes, hypertension, and depression, but also the latter.
Threats
High no-show rates are common in outpatient mental health settings and this
can interfere with the orderly flow of the CBT. Stigma and reluctance to talk about
weight may also become barriers to therapeutic interactions with the patient- another
issue that Roberts and Polfuss (2022) mention. The behavioral weight interventions
could be threatened financially by insurance restrictions that could restrict cover to the
long-term adoption.
6
Conclusion
The SWOT analysis before the implementation of an evidence-based
intervention is a strong tool that enhances the decision-making process and allows
nurses to predict potential obstacles that can negatively affect the success of a project.
CBT is also an intervention that is highly relevant and supported in adult obesity in
outpatient mental health practice. As the SWOT analysis shows, although the practice
setting has well-settled underpinnings of CBT implementation, it is essential to focus
on the weaknesses and threats, including the competency of the providers and
systemic barriers. Finally, the SWOT finding incorporated into the planning increases
the chances of sustainable and successful change of practice.
7
References
Hayes, S. C., & Forman, E. M. (2021). Cognitive-behavioral approaches to modifying
health behaviors in adults.
Katterman, S. N., et al. (2020). Cognitive-behavioral interventions for weight cycling
and emotional eating.
Roberts, S. R., & Polfuss, M. (2022). Weight stigma in children and adolescents:
Implications for lifelong obesity risk. Nursing, 52(2), 34–41.
https://journals.lww.com/nursing/fulltext/2022/06000/Weight_stigma_in_chil
dren_and_adolescents_.7.aspx
Smith, K. E., Mason, T. B., & Crosby, R. D. (2022). Cognitive behavioral therapy for
emotional eating and weight management: A randomized controlled trial.
- Implementing Cognitive Behavioral Therapy to Address Adult Obesity in Outpatient Mental Health Practice.
- Michelle Murray
- NU-700
- Dr. Jessica Clark
- 12/5/25
- Implementing Cognitive Behavioral Therapy to Address Adult Obesity in Outpatient Mental Health Practice
- Introduction
- Review of the Practice Problem Using the Unit 4 Article
- Evidence-Based Intervention and Rationale for Selection
- SWOT Analysis for CBT Implementation
- Narrative Discussion of SWOT Analysis
- Strengths
- Weaknesses
- Opportunities
- Threats
- Conclusion
- Marketing Research Statistics
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