نبذة مختصرة : Background. As the problem of adaptation to diabetes management in chronic diseases prevents the success of treatment, it causes the disease process to progress negatively, other diseases and deaths to develop and the costs of the disease to increase. Type 2 diabetes mellitus treatment in Turkey concerns the rate of individuals with low compliance and continuity of the disease. In a study of 1,456 individuals with diabetes treated with insulin throughout Turkey, 29.7 % of patients reported that they did not adhere to the prescribed drug regimen. This study was designed to investigate the validity and reliability of the Diabetes Medication Self-Efficacy Scale. Materials and methods. The study was constituted with 197 individuals, who admitted to endocrinology outpatient clinic of a University Hospital between May and June 2019, and had diabetes diagnosis for at least one year and agreed to participate in the research. The descriptive and confirmatory factor analysis and Cronbach’s alpha internal consistency analysis were used during the Turkish adaptation phase of the Diabetes Medication Self-Efficacy Scale. Results. As a result of the analysis, the scale was determined to be consisted of 19 items and three sub-dimensions and explained 68.472 % of the total variance. Cronbach’s alpha values for the whole scale and its sub-scales were 0.94, 0.89, 0.85, and 0.93, respectively. Confirmatory factor analysis was performed to verify the 3-factor structure of the scale. According to the confirmatory factor analysis results, χ2/SD = 3.22 was found to be less than the acceptable reference value of 5. This finding shows that the data are compatible with the model. In addition, the other results were as follows: RMSEA = 0.070, PNFI = 0.82, CFI = 0.99, RMR = 0.27, GFI = 0.94, AGFI = 0.88 and PGFI = 0.61. When we look at these values, they are appeared to be in good alignment. Conclusions. This reliable, validated and standardized 19-item 5-point Likert type scale can be used to determine the medication self-efficacy for ...
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