Introduction: Increasingly, older adults are turning to emergency departments (EDs) to address healthcare needs. To achieve these research demands, infrastructure is needed to both generate evidence of intervention impact and advance the development of implementation science, pragmatic trials evaluation and dissemination of findings from studies addressing the emergency care needs of older adults. The Geriatric Emergency Care Applied Research Network (https://gearnetwork.org) has been created in response to these scientific needs-to build a transdisciplinary infrastructure to support the research that will optimise emergency care for older adults and persons living with dementia.
Methods And Analysis: In this paper, we describe our approach to developing the GEAR Network infrastructure, the scoping reviews to identify research and clinical gaps and its use of consensus-driven research priorities with a transdisciplinary taskforce of stakeholders that includes patients and care partners. We describe how priority topic areas are ascertained, the process of conducting scoping reviews with integrated academic librarians performing standardised searches and providing quality control on reviews, input and support from the taskforce and conducting a large-scale consensus workshop to prioritise future research topics. The GEAR Network approach provides a framework and systematic approach to develop a research agenda and support research in geriatric emergency care.
Ethics And Dissemination: This is a systematic review of previously conducted research; accordingly, it does not constitute human subjects research needing ethics review. These reviews will be prepared as manuscripts and submitted for publication to peer-reviewed journals, and the results will be presented at conferences.Open Science Framework registered DOI: 10.17605/OSF.IO/6QRYX, 10.17605/OSF.IO/AKVZ8, 10.17605/OSF.IO/EPVR5, 10.17605/OSF.IO/VXPRS.
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http://dx.doi.org/10.1136/bmjopen-2022-060974 | DOI Listing |
J Telemed Telecare
January 2025
Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Introduction: Optimal hospital bed utilization requires innovative patient care models. We studied a novel hospitalist model utilizing telemedicine to facilitate collaboration with affiliated emergency departments (EDs) and support medical triage and care of ED patients with high likelihood of hospital admission.
Methods: Telehospitalists based at a tertiary care facility collaborated with four community EDs in the same healthcare network between January 1, 2022, and April 30, 2023.
J Alzheimers Dis
January 2025
Division of Neurosurgery, Department of Surgery, Wan Fang Hospital, Taipei Medical University, Taipei.
Although the association between dementia such as Alzheimer's disease and traumatic brain injury (TBI) is well established, there are significant knowledge gaps with respect to the perspective of dementia and epilepsy without TBI. We aimed to investigate the relationship between dementia and epilepsy in a population-based study of patients without history of TBI. This study included a random sample of 30,715 patients with no history of TBI, including 6143 with epilepsy as the study cohort and 24,572 without epilepsy as the comparison cohort.
View Article and Find Full Text PDFScand J Surg
January 2025
Department of Surgery, Helsingborg Hospital, Clinical Sciences Lund, Lund University, Lund, Sweden.
Background: The impact of surgical specialization on long-term survival in patients undergoing emergent colon cancer resections remains unclear.
Method: A retrospective analysis was conducted on all patients who underwent emergent colon cancer resections at a secondary care hospital between 2010 and 2020. The most senior surgeon performing the procedures was classified as colorectal surgeon (CS) or non-colorectal surgeon (NCS).
Circ Cardiovasc Qual Outcomes
January 2025
Division of Emergency Medical Services, Public Health - Seattle & King County, WA (J.S., J.L., M.P., C.D., J.B., S.G., P.K., T.R.).
Background: Although racial disparities have been described in resuscitation, little is known about potential bias in race classification of out-of-hospital cardiac arrest (OHCA).
Methods: We conducted a retrospective cohort study of adults treated by emergency medical services (EMS) for nontraumatic OHCA in King County, WA between January 1, 2018, and December 31, 2021. We assessed agreement using κ and evaluated patterns of missingness between EMS-assessed race versus comprehensive race classification from hospital and death records.
Background And Aims: In the current study, we aimed to identify the association between major and minor electrocardiographic abnormalities and cardiovascular risk factors.
Methods: We used the Tehran cohort study baseline data, an ongoing multidisciplinary, longitudinal study designed to identify cardiovascular disease risk factors in the adult population of Tehran. The electrocardiograms (ECGs) of 7630 Iranian adults aged 35 years and above were analyzed.
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