Impact of Pharmaceutical Education on Medication Adherence

Patients and study design In this randomized and controlled clinical trial, patients will be assigned to two study groups: intervention group and control group; The patients will be followed for 6 months, considering evaluations at 0, 3 and 6 months. To improve patient adherence to treatment, the investigators will provide a pocket card with an up-to-date list of the patient's prescribed medications along with recommendations for follow-up care. For the evaluation of adherence to treatment, © MMAS is used, it is authorized: MMAR, LLC., Donald E. Morisky # 6533-7069-1342-3041-5361, 294 Lindura Court, Las Vegas, Nevada 89138-4632. Variables analyzed After randomization, the investigator will interview patients to obtain demographic data and their medical history. Data such as: time of evolution of the disease, number of prescribed medications, family support, cost of drug treatments will be collected, and the levels of glycosylated hemoglobin, fasting plasma glucose, cholesterol and triglycerides will be determined. Medication adherence Adherence to medication will be evaluated using the Morisky method of 8 items, which is a validated indicator of non-compliance with medication in the treatment of chronic diseases, the Morisky Medication Adherence Scale It is a generic scale to evaluate the patient's behavior regarding adherence to treatment, the points obtained with MMAS-8 are added to give a range of low, medium and high adherence scores. The total score is a sum of the 8 items and ranges between 0 and 8: values with a score greater than 8 reflect high adherence to medication, values between 6 and 7 reflect medium adherence and values below 6 reflect low adherence. Sample size calculation A sample size calculation shows that a sample of 38 patients in each group is sufficient to find a difference in adherence to treatment with an alpha error of 0.05 and a power of 0.80 of the test, contemplating a 20% loss. The calculation was performed with the expected proportions formula. Statistical analysis The investigators will report categorical variables as frequencies and percentages and analyzed with χ2 or Fisher's exact tests as necessary; quantitative variables will be presented as mean and standard deviation. The investigators will use the Wilcoxon test for intragroup comparisons and the Mann-Whitney U test for intergroup comparisons. The results will be considered significant at a two-sided p value of \<0.05, with a 95% confidence interval. The statistical analyzes will be carried out using Statistical Solutions for Products and Services version 24.0.