98%
921
2 minutes
20
Introduction: Considering the increase in the proportion of the older population worldwide, the demand for health system resources also arises. These tools optimize clinical decision-making, thus avoiding iatrogenesis and thus contributing to a better quality of life for the older population. In response, we created an online web application, the APIMedOlder, that provides access to healthcare professionals to allow healthcare professionals to access potentially inappropriate medication identification criteria through a useful tool with a simplified profile, allowing its applicability in clinical practice. This study aims to assess the usability of the APIMedOlder online web application by healthcare professionals.
Methods: A questionnaire, based on the System Usability Scale, was distributed among 15 healthcare professionals (five pharmacists, four physicians, three pharmacy technicians, and three nurses), to fully explore the website.
Results: Overall, healthcare professionals' evaluation of the usability of the APIMedOlder online web application was rated as "Best imaginable" (mean score of 87.17 points), with individual scores ranging from 75 to 100 points. Internal consistency of α = 0.881 (CI 95%: 0.766 - 0.953) was achieved. Specific questionnaire items contributing to this high score included ease of use, learning efficiency, and integration of functions.
Conclusion: The overall evaluation of the developed tool was positive, with this online application being recognized as being easy to use and having well-integrated functions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.20344/amp.21537 | DOI Listing |
JMIR AI
September 2025
Faculty of Medicine, Universidade Federal de Alagoas, Av. Lourival Melo Mota, S/n - Tabuleiro do Martins, Maceió, 57072-900, Brazil, 558232141461.
Background: Artificial intelligence (AI) has the potential to transform global health care, with extensive application in Brazil, particularly for diagnosis and screening.
Objective: This study aimed to conduct a systematic review to understand AI applications in Brazilian health care, especially focusing on the resource-constrained environments.
Methods: A systematic review was performed.
Arq Gastroenterol
September 2025
The Japanese Society of Internal Medicine, Editorial Department, Tokyo, Japan.
Background: This study aims to analyze research trends and emerging insights into gut microbiota studies from 2015 to 2024 through bibliometric analysis techniques. By examining bibliographic data from the Web of Science (WoS) Core Collection, it seeks to identify key research topics, evolving themes, and significant shifts in gut microbiota research. The study employs co-occurrence analysis, principal component analysis (PCA), and burst detection analysis to uncover latent patterns and the development trajectory of this rapidly expanding field.
View Article and Find Full Text PDFJ Eval Clin Pract
September 2025
Pediatric Allergy and Immunology Department, Akdeniz University Hospital, Akdeniz University, Antalya, Türkiye.
Aims And Objectives: To evaluate the efficacy of YoungAsthma, a nurse-led, web-based mHealth intervention on asthma control and self-efficacy among adolescents with asthma utilizing decision tree analysis.
Background: Asthma is a prevalent chronic condition in pediatric populations, necessitating sustained management for optimal disease control.
Design: A randomized controlled clinical trial.
J Eval Clin Pract
September 2025
Health Technology Assessment Unit, Acute and Hospital-Based Care Portfolio, Ontario Health, Toronto, Ontario, Canada.
Rationale: Systematic reviews are essential for evidence-based healthcare decision-making. While it is relatively straightforward to quantitatively assess random errors in systematic reviews, as these are typically reported in primary studies, the assessment of biases often remains narrative. Primary studies seldom provide quantitative estimates of biases and their uncertainties, resulting in systematic reviews rarely including such measurements.
View Article and Find Full Text PDFClin Pharmacol
September 2025
Department of Biology, College of Science Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Cancer remains the second leading cause of death worldwide, highlighting the urgent need for novel therapeutic approaches. Fungi are a rich source of bioactive metabolites, some of which exhibit potent anticancer properties. This scoping review evaluates the current research on fungal metabolites with anticancer potential, focusing on species native to Saudi Arabia's unique ecosystem.
View Article and Find Full Text PDF