Measuring Of The Project Outcomes
Measuring Of The Project Outcomes.
You chose the Knowledge to Action Framework to apply to your DNP project. Your organizational setting is described as a primary care clinic for adult patients with common chronic conditions. Approximately 30 patients are seen per day and about 1500 patients over a year. The population for your DNP project is described as adults aged 18 and older with a BMI of over 25.
– How did you calculate your sample size of 30 adult patients?
Your proposed data analysis plan consists of a paired t-test to compare pre-intervention and post-intervention patients’ weight. The sample will be recruited at the clinic based on the exclusion and inclusion criteria and the craftiness of the patient to participate in your project. The inclusion and exclusion criteria are outlined, and Potential barriers that have been identified for your project include participants forgetting to input their data and lack of reliable mobile access. You have identified ways to mitigate patient barriers.
– What are you looking for in the results of your t-test?
– What are you describing using which descriptive statistics from your project’s data analysis.
*Attached is the whole work with the details of the project.
Instructions:
Use an APA 7 style and a minimum of 250 words. Provide support from scholarly sources. The scholarly source needs to be: 1) evidence-based, 2) scholarly in nature, 3) Sources should be no more than five years old (published within the last 5 years), and 4) an in-text citation. citations and references are included when information is summarized/synthesized and/or direct quotes are used, in which APA style standards apply. Include the Doi or URL link.
• Textbooks are not considered scholarly sources.
• Wikipedia, Wikis, .com website or blogs should not be use
Guided Worksheet: DNP Project Proposal Development
Week 3: Translational Science Model, the Organizational Setting, and the Population.
Translational Science Model
The Knowledge to Action Framework was developed by Dr. Ian Graham and his colleagues in 2006, and it was founded on over 30 theories of change. It gives a seven-phase cycle that allows stakeholders to translate knowledge into practice to enhance outcomes (Graham & Tetroe, 2010). The model comprises two essential parts: knowledge generation and action. This model’s primary purpose is to turn evidence into action while also monitoring, evaluating, and tweaking the implementation process (Boscart et al., 2020). The seven phases in the Knowledge to Action Framework will serve as a structure and guide for this DNP project.
The first phase of the Knowledge to Action (KTA) model is to identify the problem. It will serve to inform the most appropriate intervention tool. The practice problem, in this case, is an increasing prevalence of obesity which needs urgent intervention. The AHA lifestyle guidelines are a relevant tool that can be implemented using Fitbit to prevent and reduce the prevalence of obesity. The second phase is to adapt knowledge to the local context. There is a need to identify available stakeholders in the local context, including available healthcare providers, nurse managers, and patients. The stage also involves building a robust infrastructure in the local context and linking the local context to other model locations. The third phase is to assess facilitators and barriers to knowledge use. This stage involves identifying facilitators to change implementation and the obstacles that may drag the process or reduce the project’s outcomes (Kitson et al., 2018). The location is essential as it helps stakeholders utilize the facilitators and address the barriers. The facilitators include a cooperative patient care team, and the potential wall is participants may forget to input data in the tracking app, and others lack proper mobile access. The clinical team can address these challenges by educating patients and sending weekly reminders. The fourth stage is to select, tailor, and implement interventions. The step involves mapping the interventions to the context and implementing their intervention in the best way possible. The evidence-based intervention will be implemented at this stage, and patients will start their journey to apply AHA guidelines and use the tracking app to ensure compliance. The fifth phase is to monitor knowledge use. It is essential to collect data on knowledge use and provide a service that aligns with the project purpose (Bryant et al., 2019). Monitoring will help stakeholders make some changes if needed to facilitate the project. The sixth phase is to evaluate the outcomes. It is vital to assess the effects of the strategy intervention to inform future decisions. Evaluation will also help determine if any goals should be addressed to enhance outcomes (Zhao et al., 2021). The results may be evaluated by interviewing patients and the patient care team. Internal sources may also include weight changes, as evident in the clinic’s data. Phase seven of the KTA model is to sustain knowledge. There should be strategies for supporting the use of expertise to enhance impact. Knowledge implementation is more effective if it can be maintained for some time.
Organizational Setting
The program will be conducted in a primary care clinic that offers services to adult patients. The clinic’s typical patients are adults with common chronic conditions like diabetes, hypertension, heart diseases, and elevated cholesterol, among other diseases. Usually, about 30 patients are consulted in the clinic every day, and about 1500 patients are served per year. The clinic sees at least 30 new patients and 68 follow-up patients per week. The clinic has multidisciplinary patient care team members who are willing to aid in implementing the project; it includes doctors, nurse practitioners, a clinical coordinator, and some assistant personnel.
Population Description
The population for the DNP project will be adults aged 18 and older with a BMI of over 25. The anticipated sample size will be 30 adult patients from a primary care clinic with voluntary participation. A paired t-test can compare pre-intervention and post-intervention patients’ weight. Descriptive statistics will be used to discuss compliance. The sample will be recruited at the clinic based on the exclusion and inclusion criteria and the craftiness of the patient to participate in the project. The primary characteristic of the target population is they must be receiving the consultancy services at the clinic where the program will be implemented. The inclusion criteria are that one must be at least 18 years old, have a BMI of over 25, and should not be restricted about lifting and activity restrictions. Those excluded include those below 18 years, have BMI below 25, and have activity and lifting restrictions. The measurable outcome of the project will be the process compliance, the pre-intervention, and the post-intervention weight.
Potential barriers to the project include participants forgetting to input their data to the tracking app and lack of reliable mobile access. These potential problems can be mitigated with patient education, encouragement, support, and weekly reminders to participants. A solid DNP project plan is required to facilitate the project. The project plan will assist stakeholders in allocating resources to the initiative, such as funds, educational materials, and time (Ko et al., 2022). It will aid stakeholders in defining their responsibilities in the project and determine how they should manage their calendars to accommodate and execute all project activities, which will grant the expected outcomes.
References
Bryant, L., Ferguson, A., Valentine, M., & Spencer, E. (2019). Implementation of discourse analysis in aphasia: investigating the feasibility of a Knowledge-to-Action intervention. Aphasiology, 33(1), 31-57. /orders/doi.org/10.1080/02687038.2018.1454886
Boscart, V., Davey, M., Crutchlow, L., Heyer, M., Johnson, K., Taucar, L. S., … & Heckman, G. (2020). Effective chronic disease interventions in nursing homes: a scoping review based on the knowledge-to-action framework. Clinical gerontologist, 1-14. /orders/doi.org/10.1080/07317115.2019.1707339
Graham, I. D., & Tetroe, J. M. (2010). The knowledge to action framework. Models and frameworks for implementing evidence-based practice: Linking evidence to action, 207, 222. /orders/doi.org/10.1002/chp.47
Kitson, A., Brook, A., Harvey, G., Jordan, Z., Marshall, R., O’Shea, R., & Wilson, D. (2018). Using complexity and network concepts to inform healthcare knowledge translation. International Journal of Health Policy and Management, 7(3), 231. /orders/dx.doi.org/10.15171%2Fijhpm.2017.79
Ko, A., Burson, R., & Turner, J. A. (2022). Strengthening DNP Business Acumen: An Educational Intervention. Journal of Nursing Education, 61(4), 201-204. /orders/doi.org/10.3928/01484834-20211128-05
Zhao, J., Li, X., Yan, L., Yu, Y., Hu, J., Li, S. A., & Chen, W. (2021). The use of theories, frameworks, or models in knowledge translation studies in healthcare settings in China: a scoping review protocol. Systematic Reviews, 10(1), 1-7. /orders/doi.org/10.1186/s13643-020-01567-4
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