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All species must partition resources among the processes that underly growth, survival, and reproduction. The resulting demographic trade-offs constrain the range of viable life-history strategies and are hypothesized to promote local coexistence. Tropical forests pose ideal systems to study demographic trade-offs as they have a high diversity of coexisting tree species whose life-history strategies tend to align along two orthogonal axes of variation: a growth-survival trade-off that separates species with fast growth from species with high survival and a stature-recruitment trade-off that separates species that achieve large stature from species with high recruitment.
View Article and Find Full Text PDFImpact of an Oregon health policy aimed at strengthening adolescent linkage to outpatient mental health care from the emergency department.
Acad Emerg Med
January 2025
Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Background: Oregon introduced a state policy, HB 3090, on October 6, 2017, which increased requirements on emergency departments (EDs) to improve transitions to outpatient mental health care. The objective of this study was to examine the policy's impact among low-income adolescent patients who face severe barriers to follow-up.
Methods: This was a retrospective cohort study of visits by Medicaid enrollees ages 14-18 presenting to any Oregon ED for a mental health concern between January 1, 2016, and December 31, 2019.
Attracting nursing talent to the intensive care unit: A qualitative study on how to create an appealing work environment.
Intensive Crit Care Nurs
January 2025
Departament d'Infermeria Fonamental i Clínica, Faculty of Nursing, Universitat de Barcelona, Carrer de la Feixa Llarga, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
Introduction And Objective: The global shortage of nurses who want to work in the intensive care unit (ICU) is alarming, putting at risk quality of care and patient safety. With efforts put into engagement strategies, optimized recruitment programmes are scarce, specifically in the ICU setting. The aim of this study is to describe and explore ICU nurses' opinions on their work motivational factors that influenced the decision to work in the ICU setting.
View Article and Find Full Text PDFGood Practices for Health Technology Assessment Guideline Development: A Report of the Health Technology Assessment International, HTAsiaLink, and ISPOR Special Task Force.
Value Health
October 2024
Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Objectives: Health technology assessment (HTA) guidelines are intended to support successful implementation of HTA by enhancing consistency and transparency in concepts, methods, process, and use, thereby enhancing the legitimacy of the decision-making process. This report lays out good practices and practical recommendations for developing or updating HTA guidelines to ensure successful implementation.
Methods: The task force was established in 2022 and comprised experts and academics from various geographical regions, each with substantial experience in developing HTA guidelines for national health policymaking.
The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
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