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Factors affecting cancer care delivery in primary care: a qualitative study.
Fam Pract
January 2025
School of Nursing and Midwifery, Institute of Clinical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
Background: One role of primary care is to support people living with and beyond cancer, the number of whom is increasing worldwide. This study aimed to identify factors affecting cancer care provision within English primary care after the start of the coronavirus pandemic, during high healthcare service demand, and a depleted workforce.
Methods: An exploratory qualitative descriptive approach was used to collect data via remote semi-structured interviews with primary care staff after gaining informed consent.
Assessing the impact of sewage and wastewater on antimicrobial resistance in nearshore Antarctic biofilms and sediments.
Environ Microbiome
January 2025
Basecamp Research Ltd, Unit 510 Clerkenwell Workshops, 27 Clerkenwell Close, London, EC1R 0AT, UK.
Background: Despite being recognised as a global problem, our understanding of human-mediated antimicrobial resistance (AMR) spread to remote regions of the world is limited. Antarctica, often referred to as "the last great wilderness", is experiencing increasing levels of human visitation through tourism and expansion of national scientific operations. Therefore, it is critical to assess the impact that these itinerant visitors have on the natural environment.
View Article and Find Full Text PDFFederally qualified health center patients' experiences with remote patient monitoring as part of telehealth services for self-measured blood pressure monitoring.
BMC Health Serv Res
January 2025
Center for Quality Health IT Improvement (CQHII), McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Background: Remote patient monitoring (RPM) for hypertension management has become increasingly popular, demonstrating benefits for both clinics and patients. However, patient engagement in self-measured blood pressure (SMBP) monitoring remains low despite healthcare providers' efforts. This study aimed to assess adherence and acceptance of RPM for SMBP among Texas Federally Qualified Health Center patients.
View Article and Find Full Text PDFConstructing a fall risk prediction model for hospitalized patients using machine learning.
BMC Public Health
January 2025
Department of Pathology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Study Objectives: This study aimed to identify the risk factors associated with falls in hospitalized patients, develop a predictive risk model using machine learning algorithms, and evaluate the validity of the model's predictions.
Study Design: A cross-sectional design was employed using data from the DRYAD public database.
Research Methods: The study utilized data from the Fukushima Medical University Hospital Cohort Study, obtained from the DRYAD public database.
Analysis of the clinicopathological and imaging features in breast intraductal papillary lesions with or without pathological nipple discharge.
Sci Rep
January 2025
Department of Breast Surgery, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, 758 Hefei Road, Qingdao, 266000, Shandong, China.
With the popularity of breast screening, more and more intraductal papillary lesions (IDPL)were detected by ultrasound or mammography, which is a spectrum of diseases ranging from benign to malignant lesions. Patients with pathological nipple discharge (PND) may indicate IDPL, but it is difficult to clarify their biological characteristics before the operation. As to patients with IDPL without PND, it is even an enormous challenge to differentiate their benign or malignant characteristics.
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