Tele-Medical Nutrition Therapy to Promote Healthy Eating and Nutrition Adherence of Chronic Patients in the COVID-19 Pandemic: A Pragmatically Before-After Trial.

Background And Aims: Patients find it difficult, during the pandemic, to receive appropriate nutrition services because of the limited access to health services. This study assessed the effectiveness of a tele-consulting nutrition intervention on the nutrition adherence of patients with diabetes and hypertension.

Methods: A tele-medical nutrition therapy (MNT) intervention was conducted as a one-group before-after trial.

The barriers and challenges of using health information technology in medication administration process for pediatrics and neonates: A qualitative study.

Background And Aims: Children and neonates are more susceptible to diseases and are a vulnerable group in medication administration (MA). Nurses interact directly with patients, ensuring safety and preventing unintended outcomes. Health Information Technology (HIT) has transformed health care, aiding nurses in decision-making and treatment responses.

Heuristics used for evaluating the usability of mobile health applications: A systematic literature review.

Objective: Mobile health applications hold immense potential for enhancing health outcomes. Usability is one of the main factors for the adoption and use of mobile health applications. However, despite the growing importance of mHealth applications, clear standards for their evaluation remain elusive.

Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature review.

Background: Patient safety is a central healthcare policy worldwide. Adverse drug events (ADE) are among the main threats to patient safety. Children are at a higher risk of ADE in each stage of medication management process.

Exploring Common Symptoms in Patients with Respiratory Allergies Using K-Means Algorithm in the North-East of Iran in 2012-2015.

Background: As a common disease among people of almost any age, allergic rhinitis has many adverse effects such as lowering the quality of life and efficiency at work or school. Considering these conditions and the collection of large amounts of data, the present research was conducted on allergic rhinitis and asthma patients' data to extract the common symptoms of these diseases using cluster analysis and the k-means algorithm.

Materials And Methods: The present cross-sectional research was conducted in Mashhad city.

A pragmatically before-after trial of tele-visits vs face-to-face visits for chronic patients during the COVID-19 pandemic: patient-reported adherence.

Background: During the COVID-19 pandemic, chronic patients are at a higher risk of contamination with the virus. Specific strategies are required to restrict these patients' exposure to contaminated areas and improve medication adherence. One suggested strategy is tele-visiting, which is effective for the continuity of care and medication adherence during the pandemic.

A Mobile Application for Managing Diabetic Patients' Nutrition: A Food Recommender System.

Background: As a prevalent metabolic disease, diabetes has different side effects and causes a wide range of co morbidity with a high rate of mortality. There is a need for certain interventions to manage this disease. Iranians usually have three main meals a day.