Implementing emergency department (ED) and hospital patient throughput management coupled with at-home medical and tele-management upon discharge may increase surge capacity during national emergencies and pandemics. This novel intensive transitional care management (ITCM) intervention presents the opportunity to optimize hospital bed capacity through prevention of inpatient admissions for patients who could be discharged home safely with appropriate in-home medical support and tele-management. This observational cohort intervention was conducted between April 7, 2020 and April 30, 2020, at the 4 largest inpatient facilities of RWJBarnabas Health System in New Jersey. The intervention group included a convenience sample of 192 patients who were evaluated in the ED, monitored in the observation unit, or admitted to the hospital with a diagnosis of mild-to-moderate COVID-19 infection. Their outcomes were compared to a matched comparison group of 593 patients who were admitted with the same COVID-19-related diagnosis and severity. The primary outcome was the reduction in inpatient days as a result of the intervention that included provision of at-home oxygen supplementation therapy, expanded home care services, and tele-management sessions. Secondary outcomes were re-encounters with the health system in the ED, observation unit, or inpatient readmissions. A total of 481.6 hospital patient days were avoided for 78 patients who had been discharged from the ED or observation unit stays. Secondary analysis included hospital readmission rates. The ITCM intervention demonstrated a feasible strategy for improving throughput of patients with COVID-19, resulting in increased hospital bed capacity.
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http://dx.doi.org/10.1089/pop.2020.0178 | DOI Listing |
Acta Paediatr
January 2025
Chair of Health Services Research, Institute of Medical Sociology, Health Services Research and Rehabilitation Science (IMVR), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Aim: To investigate whether webcam access for parents of infants in neonatal intensive care units influences parental postpartum depression and stress experiences.
Methods: Parents whose infants had a birth weight below 1500 g and who were admitted to one of the four participating tertiary care hospitals were eligible to participate in the study. The study followed the structure of a multi-centre cross-over pragmatic randomised controlled trial.
Surv Ophthalmol
January 2025
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele-Milan, Italy; Department of Ophthalmology, Eye Unit Humanitas Gavazzeni-Castelli, via Mazzini 11, Bergamo, Italy.
Bacillary layer detachment (BALAD) refers to the distinctive splitting at the level of the photoreceptor inner segment myoid and accumulation of intraretinal fluid, as seen on optical coherence tomography (OCT).BALAD is an increasingly recognized OCT biomarker of numerous heterogeneous chorioretinal diseases, including posterior uveitis, age-related macular degeneration and macular neovascularization, neoplastic and paraneoplastic retinal disorders, rhegmatogenous retinal detachment, blunt ocular trauma, and miscellaneous conditions. The recognition of BALAD is clinically relevant because, based on the specific etiology, BALAD may require simple observation, ocular or systemic medical treatment, or even surgical intervention, with subsequent different prognosis.
View Article and Find Full Text PDFFront Child Adolesc Psychiatry
January 2024
Department of Paediatrics I, Neonatology, Paediatric Intensive Care, Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Background And Aims: Close autonomic emotional connections with others help infants reach and maintain homoeostasis. In recent years, infant regulatory problems (RPs, i.e.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.
Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.
Rev Gaucha Enferm
January 2025
Universidade Federal de Pernambuco. Centro de Ciências Médicas. Programa de Pós-Graduação em Saúde da Criança e do Adolescente. Recife, Pernambuco, Brasil.
Objective: To analyze the implementation of the Kangaroo Method in a tertiary maternity hospital in the city of Recife.
Method: Evaluative research analyzing the implementation of the 2nd and 3rd stages of the Kangaroo Method. Conducted between November 2021 and May 2022.
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