The experience sampling method (ESM) is a structured diary method with high ecological validity, in that it accurately captures the everyday context of individuals through repeated measurements in naturalistic environments. Our main objective was to investigate the feasibility of using ESM in individuals with acquired brain injury (ABI). A second goal was to explore the usability of ESM data on a clinical level, by illustrating the interactions between person, environment, and affect. The PsyMate device provided ABI patients (N = 17) with ten signals (beeps) per day during six consecutive days. Each beep was followed by a digital questionnaire assessing mood, location, activities, social context, and physical well-being. Results demonstrated high feasibility with a 71% response rate and a 99% completion rate of the questionnaires. There were no dropouts and the method was experienced as user-friendly. Time-lagged multilevel analysis showed that higher levels of physical activity and fatigue predicted higher levels of negative affect at the same point in time, but not at later time points. This study illustrates the potential of ESM to identify complex person-environment dynamics after ABI, while generating understandable and easy to use graphical feedback.
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http://dx.doi.org/10.1080/09602011.2017.1330214 | DOI Listing |
World J Urol
January 2025
Department of Urology, Urooncology, Robot-assisted and Focal Therapy, University Hospital Magdeburg, Otto-von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
Background And Objectives: Radical prostatectomy is a standard treatment for prostate cancer, yet about 30% of patients experience rising biochemical markers within a decade post-surgery. Pelvic lymph node sampling during prostatectomy assesses potential lymph node metastases, but standard histological assessments, which typically examine only 2-3 tissue sections, often miss occult metastases. This study assesses the effectiveness of qPCR in detecting PSA coding KLK3 mRNA for identifying lymph node metastases post-prostatectomy and explores the correlation between PSA-mRNA and biochemical recurrence.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Institute of Community Health Care, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Aim: To explore hoarding scenarios in older adults with dementia, document management strategies and assess caregiver challenges in these scenarios.
Design: This study employed interpretative phenomenological analysis to guide data collection and analysis.
Methods: Purposive sampling recruited 20 caregivers of older adults with dementia from long-term care facilities and community elderly centres in Taiwan.
J Pain Symptom Manage
January 2025
Cambia Palliative Care Center of Excellence at UW Medicine, University of Washington, Seattle, WA; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA.
Context: Critically-ill patients and their families often experience communication challenges during their ICU stay and across transitions in care. An intervention using communication facilitators may help address these challenges.
Objectives: Using clinicians' perspectives, we identified facilitators and barriers to implementing a communication intervention.
Int J Med Inform
December 2024
Department of Health Policy and Management, School of Medicine, Kangwon National University, 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea; Department of Preventive Medicine, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea; Team of Public Medical Policy Development, Gangwon State Research Institute for People's Health, 880 Baksa-ro, Seo-myeon, Chuncheon-si, Gangwon-do 24461, Republic of Korea. Electronic address:
Background: Ischemic stroke affects 15 million people worldwide, causing five million deaths annually. Despite declining mortality rates, stroke incidence and readmission risks remain high, highlighting the need for preventing readmission to improve the quality of life of survivors. This study developed a machine-learning model to predict 90-day stroke readmission using electronic medical records converted to the common data model (CDM) from the Regional Accountable Care Hospital in Gangwon state in South Korea.
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