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Unlocking Team Potential: Mastering Communication in Palliative Care.
Cureus
November 2024
Internal Medicine - Medicina 2, Unidade Local de Saúde do Alto Minho - Hospital Conde de Bertiandos, Ponte de Lima, PRT.
Effective communication is crucial in multidisciplinary teams (MDTs) within palliative care, where patient needs can be complex and multifaceted. This article examines the significance of communication in promoting collaborative, patient-centered care while addressing challenges such as professional jargon, hierarchical barriers, and the emotional strain associated with end-of-life care. Leadership plays a vital role in creating an environment of open dialogue, reducing hierarchical dynamics, facilitating conflict resolution, and supporting the emotional well-being of team members.
View Article and Find Full Text PDFIdentification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies.
Lancet Digit Health
January 2025
Biomedical Engineering Department, Duke University, Durham, NC, USA; Biostatistics and Bioinformatics Department, Duke University, Durham, NC, USA. Electronic address:
Background: Longitudinal digital health studies combine passively collected information from digital devices, such as commercial wearable devices, and actively contributed data, such as surveys, from participants. Although the use of smartphones and access to the internet supports the development of these studies, challenges exist in collecting representative data due to low adherence and retention. We aimed to identify key factors related to adherence and retention in digital health studies and develop a methodology to identify factors that are associated with and might affect study participant engagement.
View Article and Find Full Text PDFHow to … Build a Peer Reviewer Community in Health Professions Education.
Clin Teach
February 2025
Irish College of GPs, Dublin, Ireland.
Peer review is the cornerstone of academic publishing that upholds the quality and integrity of scholarly work. However, there is an ever-growing struggle to recruit peer reviewers, termed the 'peer review crisis', driven by a shrinking academic workforce and increased workload. Additionally, there is a notable lack of standardised training for peer reviewers which poses a challenge in maintaining high-quality reviews.
View Article and Find Full Text PDFMalaria elimination challenges in countries approaching the last mile: a discussion among regional stakeholders.
Malar J
December 2024
Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Background: The national malaria control programmes in Cambodia, Nepal, and Bhutan aim to achieve malaria elimination by 2025-2030. While the vivax malaria burden remains challenging, the consistent decline in falciparum malaria in these countries over the last five years suggests that the goal is achievable. However, unexpected cases in previously falciparum malaria-free districts continue to occur.
View Article and Find Full Text PDFSymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator.
Comput Biol Med
December 2024
Department of Mathematical Sciences, KAIST, Daejeon, 34141, Republic of Korea; Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea; Department of Medicine, College of Medicine, Korea University, Seoul, 02841, Republic of Korea. Electronic address:
Self-report questionnaires play a crucial role in healthcare for assessing disease risks, yet their extensive length can be burdensome for respondents, potentially compromising data quality. To address this, machine learning-based shortened questionnaires have been developed. While these questionnaires possess high levels of accuracy, their practical use in clinical settings is hindered by a lack of transparency and the need for specialized machine learning expertise.
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