RÉSUMÉ
Background: Type 2 diabetes mellitus refers to a group of heterogeneous disorders with the common elements of chronic hyperglycemia. Diabetes medications play a crucial role in lowering blood sugar levels. The study aims to compare medication adherence in patients with type 2 diabetes mellitus from urban and rural areas during pre and post visit. Methods: This pre and post-study was conducted from March to August 2022. A total of 104 participants were enrolled. Details have been obtained through data collection form. Medication adherence was measured using Hill-Bone medication adherence scale, and patient education was provided through leaflet. Results: The study included 54 females and 50 males. The correlation between medication adherence versus disease knowledge and drug knowledge was found out using Pearson’s correlation and the result is statistically significant. The medication adherence was found to be increased by 17.3% and 21.2% in rural and urban areas respectively. Inadequate follow-up and financial barriers were most accounted for medication non-adherence. Conclusions: The majority of type 2 diabetes patients have suboptimal treatment adherence which is associated with poor blood sugar control. We clinical pharmacists can tackle this problem of adherence through quality patient education.
RÉSUMÉ
Prediction of the relations among drug and other molecular or social entities is the main knowledge discovery pattern for the purpose of drug-related knowledge discovery. Computational approaches have combined the information from different resources and levels for drug-related knowledge discovery, which provides a sophisticated comprehension of the relationship among drugs, targets, diseases, and targeted genes, at the molecular level, or relationships among drugs, usage, side effect, safety, and user preference, at a social level. In this research, previous work from the BioNLP community and matrix or tensor decomposition was reviewed, compared, and concluded, and eventually, the BioNLP open-shared task was introduced as a promising case study representing this area.
Sujet(s)
CompréhensionRÉSUMÉ
OBJECTIVE: In view of the facts that education about diseases and realization of the need for drugs can improve compliance of the patients, we assessed the knowledge about drugs and medication compliance in psychiatric outpatients. In addition, we investigated factors that influence patients' compliance to develop a model of medication compliance. METHODS: One-hundred twelve male and eighty female psychiatric outpatient were asked about drug information using questionnaires. We developed a model that predicts medication compliance using chi square tests and multiple regression analysis. RESULTS: More than a hart of the patients knew at least one of the names and the effects of the drugs they had taken, but many of them didn't know the side effects of drugs. About eighty percent of the patients showed good compliance. Knowledge of side effects, belief in the benefits of drugs, and level of education could predict medication compliance reliably. CONCLUSIONS: Because education level could not be managed by physician, we could enhance compliance through education about drug side effects and benefits of medications.