Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

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.21537DOI Listing

Publication Analysis

Top Keywords

web application
16
usability apimedolder
12
online web
12
healthcare professionals
12
inappropriate medication
8
older population
8
apimedolder online
8
application
5
healthcare
5
usability
4

Similar Publications

Diagnostic and Screening AI Tools in Brazil's Resource-Limited Settings: Systematic Review.

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.

View Article and Find Full Text PDF

EVOLVING TRENDS AND EMERGING THEMES IN GUT MICROBIOTA RESEARCH: A COMPREHENSIVE BIBLIOMETRIC ANALYSIS (2015-2024).

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 PDF

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.

View Article and Find Full Text PDF

AppRaise: Software for Quantifying Evidence Uncertainty in Systematic Reviews Using a Posterior Mixture Model.

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 PDF

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