I need someone to do this cumulative project by Tomorrow. I will attach the essays that will be needed for this project.
EBP proposal - Section F
February 24, 2021
Section F - Evaluation Plan
The Methods to Collect the Data
The collection of the data on the values of the body weight, A1C, Body Mass Index, waist circumference, blood pressure levels, body fitness, the HDL levels, and the muscular strength will be iOS Applications which will then be transferred to the nurses or healthcare provider. This will help monitor the progress of the participants and guiding on the need to make necessary adjustments. One of the major aspects of recording the above data is to ensure that the participants are free from the risk of exposure to type 2 diabetes. The process of monitoring the above key values reveals the effectiveness of the physical exercise involvement. Therefore, the determination of the success of the physical exercise in controlling the body weight, BMI, waist circumference, and the HDL levels among others would show a reduction in the blood sugar level based on the records generated from the GlocoseZone or mySugr Application (Colberg, et al., 2016).
Outcome Measures Evaluate the Project Objectives
The focus of the physical exercise program is to help in the reduction of the risk of exposure to diabetes or any diabetic-related complications. The outcome of the values of the HDL, waist circumference, A1C, and blood pressure levels among others after the implementation is expected to reveal healthy levels that reduce the exposure of the participants to type 2 diabetes (Center for Disease Control and Prevention, n.d). Therefore, the successful implementation of the physical; exercise program is expected to record the lowest value of the blood sugar levels as compared to the baseline data i.e. the data generated before the implementation of the program. It is also expected that there will be an improvement in physical fitness, muscular strength, BMII, and the value of the A1C among others (Kordonouri & Riddel, 2019).
Outcomes Measured and Evaluated Based on Evidence
The recording of the values will be done using the iOS application on the phones of the patients. The records from the implementation program are done after getting the baseline data of each participant. The data on the key values will be recorded throughout implementation. Each participant will be actively involved in the type of physical activities designed for them based on their level of fitness (Cha, et al., 2017). Throughout this period, data on the HDL, body fitness, waist circumference, and A1C will be recorded. The records of these key values are recorded every 2 - 3 months and data like blood sugar values is recorded daily basis. The data is reported using the application and then forwarded to the healthcare provider. The daily recording of the blood glucose is also recorded and forward using other important applications such as GlocoseZone or mySugr Application. The reliability and the validity of the data or the outcome are attained by ensuring that the participants are knowledgeable about the use of the applications (Colberg, et al., 2016). The data will be reliable if patients are compliant and record the data regularly.
Strategies if Outcomes don’t have Positive Results
It is expected that there will be the recording of the reduced values of the blood glucose and improvement of other vitals such as the BMI and physical fitness. The negative outcome implies that adjustment is required, therefore, the values of the participants are compared. The individuals with no improvement are assessed for the consumption habit and a reduction and their sedentary lifestyles. These individuals are also assessed based on the challenges encountered so that necessary adjustments are made to enable them to benefit from the program (Kordonouri & Riddel, 2019).
The Implications of Practice to Future Research
The proposed evidence-based practice is important for future scholars who will be interested in studying the role of the community physical exercise program on the control of type 2 diabetes. The data generated will be used as the background study to guide on addressing the areas of limitations of this study to ensure that a community physical exercise program is implemented to benefit the population diagnosed with type 2 diabetes (Kordonouri & Riddel, 2019).
Center for Disease Control and Prevention. (n.d ). Diabetes Policy Brief: Providing Diabetes Self-Management Education and Support for Rural Americans. Retrieved from https://www.cdc.gov/ruralhealth/diabetes/policybrief.html
Cha, S. A., Lim, S. Y., Kim, K. R., Lee, E. Y., Kang, B., Choi, Y., & Ko, S. (2017). Community-based randomized controlled trial of diabetes prevention study for high- risk individuals of type 2 diabetes: lifestyle intervention using a web-based system. BMC Public Health, 17(1), 387. doi:https://doi.org/10.1186/s12889-017-4283-y
Colberg, S. C., Sigal, R. J., Yardley, J. E., Riddel, M. C., Dunstan, D. W., Dempsey, P. C., Horton, E S., Castorino, K., & Tate, D. F. (2016). Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association. America Diabetes Association, 39(11), 2065-2079. doi:10.2337/dc16-1728
Kordonouri, O., & Riddel, M. C. (2019). Use of apps for physical activity in type 1 diabetes: current status and requirements for future development. Endocrinology and Metabolism, 10. doi:10.1177/2042018819839298