Benchmark - Evidence-Based Practice Proposal Final Paper


Evaluation Plan 2

Evaluation Plan

Diane Boll

Grand Canyon University: NUR 590


Evaluation Plan

The eight-item Morisky-Medication-Adherence Scale (MMAS) was chosen as the preferred data collection tool for this study because it is a useful tool widely used to analyze patient adherence. There are also numerous testing and translation tools available for making the assessments of this tool available in various languages beyond English, making it suitable for studying the Georgia population that comprises individuals with diverse native backgrounds besides English (Moon et al., 2017). The D-39 assessment tool was used to measure the impact of adhering to medication on the Quality of life (QOL) in this study because it provides an analysis of QOL based on social impact, sexual behavior, diabetes control, worry, mobility, and energy. Combining these two tools and summarizing responses through a 0-100 linear transformation scale will provide consistent results for this population's study (Mbuagbaw et al., 2017).

The impact of adhering to T2D medication on Quality of life will be defined as either low, medium, or high. Low scores through the 0-100 linear transformation scale will be translated as better life outcomes, while high scores through this scale will be translated as poor life outcomes. If many patients have low scores, the study will conclude that adhering to T2D medication improves QOL. Therefore, a particular objective of improving health outcomes for T2D patients in Lowndes County will be to encourage patients to adhere to T2D medication for their wellbeing. If test scores are high, showing that adhering to T2D medication does not improve QOL, further research will be conducted to identify other improved health outcomes for T2D patients.

The study results are expected to be consistent because utilizing Cronbach's Alpha in analyzing results provides reliable internal consistency estimates of data. Using counts and percentages for categorical variables and measures such as mean and standard deviations for continuous variables will ensure that the results are analyzed through different measures that enhance the data's applicability for the health improvement initiative for T2D patients in Lowndes County. Using the Kruskal-Wallis H test to examine the relationship between QOL and medication adherence will provide a valid analysis. It is a suitable tool for analyzing relationships between various variables through its rank-based nonparametric tests (D'Avila & Kirsten, 2017).

The strategies that will be taken if the study outcomes do not provide positive results of improved QOL due to medication adherence identify alternative objectives for the health improvement initiative program through further research. Alternative strategies include conducting further research on alternative techniques such as patient-centeredness. Patient-centeredness is an approach to improving Diabetes Mellitus outcomes through comprehensive plans for decreasing cardiovascular risks by focusing on healthy lifestyle choices, physical inactivity, weight management, smoking cessation and prevention, lipid control, and blood pressure regulation (Swanson & Maltinsky, 2019). Supposing that the patient-centeredness approach is identified as being useful in improving T2D health outcomes, in that case, patient-centeredness will be the primary objective for the healthcare givers who will be assigned the responsibility of attending to the patients in Lowndes County.

Even though this study identifies medication adherence and patient-centeredness as suitable approaches to managing health outcomes for T2D patients, more needs to be done to improve the QOL of patients worldwide. Research also shows that optimal results would be achieved if diabetes care is customized for each patient due to the differences in physical and genetic characteristics for all individuals (Harris et al., 2017). Therefore, implications for further research should be done on identifying treatment techniques that customize treatment for each individual depending on their specific characteristics. Further research should also be done on the role of decision support tools, patient registries, community involvement, and team-based care in T2D care systems.


D'Avila, H. F., & Kirsten, V. R. (2017). Energy intake from ultra-processed foods among adolescents. Revista Paulista de Pediatria35(1), 54.

Harris, S. B., Tompkins, J. W., & TeHiwi, B. (2017). Call to action: a new path for improving diabetes care for indigenous peoples, a global review. diabetes research and clinical practice123, 120-133.

Mbuagbaw, L., Aronson, R., Walker, A., Brown, R. E., & Orzech, N. (2017). The LMC Skills, Confidence & Preparedness Index (SCPI): development and evaluation of a novel tool for assessing self-management in patients with diabetes. Health and Quality of life outcomes15(1), 27.

Moon, S. J., Lee, W. Y., Hwang, J. S., Hong, Y. P., & Morisky, D. E. (2017). Accuracy of a screening tool for medication adherence: a systematic review and meta-analysis of the Morisky Medication Adherence Scale-8. PLoS One12(11), e0187139.

Swanson, V., & Maltinsky, W. (2019). Motivational and behaviour change approaches for improving diabetes management. Practical Diabetes36(4), 121-125.