Int J Environ Res Public Health
April 2022
Background: Digital health interventions and mobile technologies can help to reduce the rates of obesity and overweight conditions. Although weight management apps are widely used, they usually lack professional content and evaluation, so the quality of these apps cannot be guaranteed. The EVALAPPS project aims to design and validate a tool to assess the safety and effectiveness of health-related apps whose main goal is to manage and prevent obesity and overweight conditions.
View Article and Find Full Text PDFIntroduction: Familial Hypercholesterolemia (FH) is an autosomal dominant disease with an estimated prevalence between 1/200-250. It is under-treated and underdiagnosed. Massive data screening can increase the detection of patients with FH.
View Article and Find Full Text PDFObjectives: This study describes the outcomes of an intervention program in Nursing Homes and their effects on emergency room attendance, hospital admissions, and pharmaceutical expenditure.
Material And Methods: This involved non-randomised community intervention in Nursing Homes with a control group. The program was implemented gradually from 2007 to 2009 in 10 Nursing Homes (857 beds) which participated voluntarily.
Background: Current knowledge of the risk for postoperative pulmonary complications (PPCs) rests on studies that narrowly selected patients and procedures. Hypothesizing that PPC occurrence could be predicted from a reduced set of perioperative variables, we aimed to develop a predictive index for a broad surgical population.
Methods: Patients undergoing surgical procedures given general, neuraxial, or regional anesthesia in 59 hospitals were randomly selected for this prospective, multicenter study.