To validate the implementation drivers scale among first-level mental health care professionals in Colombia. The scale is designed as a tool to guide the implementation of strategies that effectively reduce gaps in mental health care.
To provide a comprehensive overview of geographical patterns (2001–2010) and time trends (1993–2012) of cancer incidence in children aged 0–19 years in Latin America and the Caribbean (LAC) and interpret the findings in the context of global patterns.
Identify and analyze incidents of substandard, falsified, unregistered, and stolen medical products at the onset of the COVID-19 pandemic.
Detailed search of the websites of regulatory authorities in the Americas. Identification of incidents of substandard, falsified, unregistered, and stolen medicines and medical devices (including in vitro diagnostics). The types of products were determined, as were the stages in the supply chain where they were detected, and the actions taken by authorities.
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespread use has been instrumental in ensuring transparency in the evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate impact on health outcomes. The CONSORT-AI (Consolidated Standards of Reporting Trials– Artificial Intelligence) extension is a new reporting guideline for clinical trials evaluating interventions with an AI component.
Conduct an analysis to determine the existence and updating of national essential medicines lists (EMLs) and clinical practice guidelines (CPGs) for the treatment of diabetes in Latin America and the Caribbean (LAC); and compare the medicines included in each country's list and guidelines both with each other and with those of the World Health Organization (WHO).
Artificial intelligence is a tool increasingly used in various fields. In the field of scientific publication, the journal adheres to the recommendations of the International Committee of Medical Journal Editors (ICMJE), that aim at promoting transparency and ethical conduct in scientific research and publication: “At submission, the journal should require authors to disclose whether they used artificial intelligence (AI)-assisted technologies (such as Large Language Models [LLMs], chatbots, or image creators) in the production of submitted work.
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes.
To analyze temporal trends and inequalities in neonatal mortality between 2000 and 2020, and to set neonatal mortality targets for 2025 and 2030 in the Americas.
This letter to the editor is only available in Spanish: https://doi.org/10.26633/RPSP.2024.8
This study aimed to analyze estimates of in-hospital delivery-related maternal mortality and sociodemographic factors influencing this mortality in Ecuador during 2015 to 2022.
Data from publicly accessible registries from the Ecuadorian National Institute of Statistics and Censuses were analyzed. Maternal mortality ratios (MMRs) were calculated, and bivariate and multivariate logistic regression models were used to obtain unadjusted and adjusted odds ratios.
