ABSTRACT
INTRODUCTION: Non-adherence behaviors are very common in chronic hemodialysis patients, it is estimated that only one patient out of two complies with medical prescriptions, these behaviors are associated with a higher risk of morbidity and adverse events as well as increased expenses for health systems. The aim of our study was to assess adherence to long-term prescribed medications in chronic hemodialysis patients, using a mobile application named TestObs, as well as to determine the main factors influencing medication adherence. METHODS: We conducted a prospective descriptive study, between January and June 2019. We developed a mobile application named TestObs, downloadable on playstore for android devices, which assesses with the Girerd questionnaire, the adherence to the main medications taken by chronic hemodialysis patients. We included adult patients, with a duration of dialysis of more than 6 months, all patients who downloaded TestObs, tested their adherence to their medication by answering the questionnaire. We created a web-based platform, where data was collected from the application and then analyzed and tabulated. Regarding the statistical analysis, the normal distribution of the variables was studied by the Kolmogorov-Smirnov test, the analysis of the qualitative variables used the Pearson's Chi2 and Fisher's statistical test, the Hosmer Lemeshow test was used to examine the quality of the final logistic regression model. RESULTS: We collected 90 adult chronic hemodialysis patients, 51 of them (56%) were selected to enter the study. We found good compliance in 46.15% of patients, minor noncompliance in 32.87%, and noncompliance in 20.98%. In multivariate analysis, the factors influencing adherence were the presence of other comorbidities (diabetes and vision problems) and the number of pills per day. DISCUSSION: In this study, we report treatment adherence problems in 53.85% of patients, our results are close to the data reported in hemodialysis patients in the literature, different factors inï¬uence the quality of treatment adherence, in our study poly-medication and the presence of other comorbidities were the statistically significant determinants. The new technology assessment instruments were used in hemodialysis patients and were able to provide real-time monitoring of adherence behaviors. CONCLUSION: We believe that mobile health technologies hold promise for assessing and improving medication adherence in hemodialysis patients, so we suggest that TestObs represents an accessible and free of charge tool, based on a validated questionnaire, that can allow patients to benefit from new technologies for medical monitoring, and may eventually constitute an interventional program to improve medication adherence; however, this technological tool should not replace traditional therapeutic education; prior targeting of non-adherent patients and an optimal combination of several tools can help improve adherence in these patients.