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This study evaluates the effect of Personalized Patient Engagement Plan on diabetes management in patients with at least six months of Type-2 Diabetes. The research is planned to be carried out as an experimental study with pretest-posttest control groups.
Half of the participants will receive the Personalized Patient Engagement Plan; between two 2 face-to-face sessions including motivational interviews, one telephone coaching call and patient-driven home-based exercises will be conducted. Another half will receive usual care.
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Hypotheses
H1-1: Personalized Patient Engagement Plan will significantly affect the self-efficacy of patients with Type-2 Diabetes Mellitus.
H1-2: Personalized Patient Engagement Plan will significantly affect the treatment adherence of patients with Type-2 Diabetes Mellitus.
H1-3: Personalized Patient Engagement Plan will significantly affect the engagement levels of patients with Type-2 Diabetes Mellitus.
Independent variables; demographic characteristics of the patients (age, gender, marital status, employment status, educational status, presence of social security, economic status, place of residence, co-living, diabetes duration, type of treatment received, how long have been treated, experiencing chronic complications related to diabetes condition, acute complications due to diabetes, chronic disease other than diabetes, presence of diabetes disease in the family, monitoring status of blood sugar, regular exercise status, following diabetic diet status, if previously educated about diabetes disease, hospitalization due to diabetes condition, smoking status, alcohol use status, if receiving help to maintain diabetes treatment, and some parameters - body mass index, Hemoglobin A1c, total cholesterol, triglyceride, HDL, LDL, fasting blood sugar and satiety blood sugar) are independent variables.
Statistical analysis will be performed with SPSS 23 (IBM Inc, NY, USA). Correlation and regression will be applied for the mean scores of the scales, the differences between the two groups averages will be analyzed by the significance test of the difference between the two averages, the significance test of the difference between the two percentages, Mann-Whitney U or Chi-Square tests. The level of statistical significance of the study will be p <0.05. Depending on the normality of the data in dependent groups, a comparison will be made with the t-test or Wilcoxon test.
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59 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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