Fear of falling (FOF) and falls are prevalent issues among older adults, leading to activity restriction, decreased quality of life, and increased dependency. This study aims to assess the effectiveness of a nurse-led health education intervention to reduce FOF and fall incidence in older adults within primary care settings. This two-arm, multicenter, parallel, cluster-randomized clinical trial includes ten primary care centers in Spain and will enroll 150 adults over 65 years with FOF, mild or no functional dependence, and independent ambulation. Participants will be randomized to either the intervention group, which will receive five initial group education sessions led by community nurses and a booster session at six months, or the control group, which will receive usual care. Primary outcomes include FOF, assessed using the Short Falls Efficacy Scale-International (FES-I), and fall incidence. Data collection will occur at baseline, one month, six months, and twelve months post intervention. This study has been approved by the Ethics Committee for Research with Medicinal Products at Gregorio Marañón University Hospital in accordance with the Declaration of Helsinki. The health education intervention is expected to significantly reduce both FOF and fall incidence, supporting the integration of FOF management in routine primary care for older adults, with potential benefits for safety and quality of life. Trial Registration: ClinicalTrials.gov: NCT05889910. The study protocol follows CONSORT and SPIRIT guidelines.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3390/healthcare12242510 | DOI Listing |
BMC Med Educ
January 2025
Department of International Public Health, Emergency Obstetric and Quality of Care Unit, Liverpool School of Tropical Medicine, Pembrooke Place, L3, 5QA, Liverpool, UK.
Background: The blended learning (BL) approach to training health care professionals is increasingly adopted in many countries because of high costs and disruption to service delivery in the light of severe human resource shortage in low resource settings. The Covid-19 pandemic increased the urgency to identify alternatives to traditional face-to-face (f2f) education approach. A four-day f2f antenatal care (ANC) and postnatal care (PNC) continuous professional development course (CPD) was repackaged into a 3-part BL course; (1) self-directed learning (16 h) (2) facilitated virtual sessions (2.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Visual Thinking Strategies and an Independent Writer and Educator, Baltimore, MD, USA.
Background: Visual Thinking Strategies (VTS) is an evidence-based pedagogical approach that uses art analysis and structured inquiry to enhance observation, critical thinking, and teamwork, especially in medical training for clinical skills development. This study aimed to compare the short-term and delayed follow-up effects of integrating Visual Thinking Strategies and Visual Thinking Activity (VTA) tasks based on the PRISM Model with Observation Exercises (OE) on medical students' observation skills, including the number of observations, number of words used, and time spent describing observations.
Method: This pre- and post-test experimental study with a control group was conducted among first-year medical students at Gonabad University of Medical Sciences during the 2023-2024 academic year.
BMC Med Educ
January 2025
Deakin Optometry, School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds , VIC, 3216, Australia.
Background: Clinical reasoning is a professional capability required for clinical practice. In preclinical training, clinical reasoning is often taught implicitly, and feedback is focused on discrete outcomes of decision-making. This makes it challenging to provide meaningful feedback on the often-hidden metacognitive process of reasoning to address specific clinical reasoning difficulties.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
BMC Med Inform Decis Mak
January 2025
Department of Industrial and Systems Engineering, University of Florida, 482 Weil Hall, PO BOX 116595, Gainesville, FL, 32611-6595, USA.
Objective: The objective of this study was to examine the causal relationship between the usage of patient portals and patients' self-care self-efficacy and satisfaction in care outcomes in the context of cancer care.
Methods: The National Institute's HINTS 5 Cycle 1-4 (2017-2020) data were used to perform a secondary data analysis. Patients who reported being ever diagnosed with cancer were included in the study population.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!