This cross-sectional analytical study aimed to evaluate health literacy and determine the relationship between personal factors and health literacy related to glycemic control in 340 patients with type 2 diabetes mellitus ...

Objective: To develop and evaluate the Line application for managing drug use (Line application) in patients with uncontrolled hypertension. Method: This study is divided into two phases. In the first phase, the Line ...

This research was a descriptive research that collected data on imported cosmetic products for analysis in the laboratory of the Department of Medical Sciences from 2014-2022 study of the situation and factors affecting ...

This research aimed to examine health literacy and dementia knowledge and factors related to health literacy and dementia knowledge among the elderly in Samut Songkhram province. Three hundred elderly people without dementia ...

HbA1c is an important variable for follow up medication and adherance of type 2 diabetes mellitus patient,But sometimes patient can lose their HbA1c check up that appoint 1-2 times a year.This study focus on estimate HbA1c ...

Objective: To develop an AI chatbot and to study its effectiveness in answering questions related to the compatibility of high-alert drug injection in drug information services at Queen SavangVadhana Memorial Hospital. ...

Adverse drug reactions from psychiatric medications refer to the side effects or unexpected responses that occur when using medications for psychiatric treatment. These reactions can impact patients in various ways. If ...

This analytical cross-sectional study aimed to assess health literacy and examine the association between personal factors and health literacy with blood pressure control among hypertensive patients receiving care at seven ...

This study aims to develop and evaluate the effectiveness of an AI chatbot for answering medical cannabis-related questions for healthcare professionals at Ban Mi Hospital, Lopburi Province. The research follows a design ...

Objective: To develop a predictive model for metformin-associated lactic acidosis (MALA) and compare the prediction of MALA among various models using different machine learning techniques. Methods: The study retrospectively ...