Social determinants of health (SDH) are defined as the conditions in which people are born, grow, live, work, and age, including the broader forces shaping those conditions.1 These determinants—housing stability, social support, food access, and...
Recreational activities are crucial for enhancing the well-being of persons living with dementia (PLwD), yet designing and implementing high-quality activities impose substantial demands on recreational activity staff (hereafter, activity leaders)...
Falls remain a significant public health concern given both the person-level and system-level effects of experiencing a fall, namely decreased function, decreased intrinsic capacity, social isolation, and increased health care utilization. The World...
Post-acute and long-term care (PA/LTC) operates under sustained pressure from workforce shortages, multimorbidity, and a documentation burden implicated in clinician burnout.1 In 2026, the frontier large language model (LLM) landscape, led by Claude...
We thank Sati et al for their thoughtful letter regarding our study1 of concordance between the Minimum Data Set (MDS), version 3.0 I1500 item and estimated glomerular filtration rate (eGFR) laboratory values for identifying kidney impairment among...
We read with great interest the study by Radjabova et al,1 which evaluates concordance between the Minimum Data Set (MDS) I1500 item and estimated glomerular filtration rate (eGFR) for identifying kidney impairment in nursing home residents. The...
To assess 30-day mortality, readmissions, and cost-effectiveness following implementation of a new postsurgical care pathway compared with usual care after hip fracture.
To examine the prevalence, demographic and employment characteristics, and job outcomes of double-duty caregivers in long-term care, compared with non–double-duty caregivers.
To compare longitudinal changes in muscle quantity and muscle quality over 4 years in community-dwelling older adults and to determine which better reflects age-related functional decline.
To develop and validate machine learning models for predicting clinician-determined follow-up interval categories in home care services among older adults enrolled in the YASAM (Healthy Aging Team Supported Home Care Services) program.
