Introduction: Long-term care (LTC) residents require extensive assistance with daily activities due to physical and cognitive impairments. Medical treatment for LTC residents, when not aligned with residents' wishes, can cause discomfort without providing substantial benefits. Predictive models can equip providers with tools to guide treatment recommendations that support person-centred medical decision-making.
View Article and Find Full Text PDFObjectives: To understand the current state of maternal, newborn and child health (MNCH) among internally displaced persons (IDPs), returnees and host communities in remote counties of Jonglei state.
Design: Cross-sectional, randomly sampled, mixed-methods, population-based household study.
Setting: Ayod, Nyirol, Fangak and Pigi counties of Jonglei, South Sudan.
Objectives: To develop and validate a model to predict time-to-LTC admissions among individuals with dementia.
Design: Population-based retrospective cohort study using health administrative data.
Setting And Participants: Community-dwelling older adults (65+) in Ontario living with dementia and assessed with the Resident Assessment Instrument for Home Care (RAI-HC) between April 1, 2010 and March 31, 2017.
Background: Nephrologists routinely provide end-of-life care for patients with kidney failure (KF) on maintenance dialysis. Involvement of primary care and palliative care physicians may enhance this experience.
Objective: The objective was to describe outpatient care patterns in the last year of life and the end-of-life acute care utilization for patients with KF on maintenance dialysis.