Suchergebnisse

AbstractBackgroundQuality of primary healthcare impacts on health outcomes. This study aimed to quantify trends in good practice and the healthcare inequalities gap.MethodIndicators of best‐practice management of long‐term conditions and health promotion were extracted from primary healthcare records on 721 adults with intellectual disabilities in 2007–2010, and 3638 in 2014. They were compared over time, and with the general population in 2014, using Fisher's Exact test and ordinal regression.ResultsManagement improved for adults with intellectual disabilities over time (OR = 5.32; CI = 2.69–10.55), but not for the general population (OR = 0.74; CI = 0.34–1.64). However, it remained poorer, but to a lesser extent, compared with the general population (OR = 0.38; CI = 0.20–0.73 in 2014, and OR = 0.05; CI = 0.02–0.12 in 2007–2010). In 2014, health care was comparable to the general population on 49/78 (62.8%) indicators.ConclusionsThe extent of the healthcare inequality gap reduced over this period, but remaining inequalities highlight that further action is still necessary.

Most high-fidelity medical simulation is of limited duration, used for education and training, and rarely intended to study medical technology. U.S. caregivers working in prehospital, resource-limited settings may need to manage patients for extended periods (hours to days). This "prolonged casualty care" occurs during military, wilderness, humanitarian, disaster, and space medicine. We sought to develop a standardized simulation model that accurately reflects prolonged casualty care in order to study caregiver decision-making and performance, training requirements, and technology use in prolonged casualty care. DESIGN: Model development. SETTING: High-fidelity simulation laboratory. SUBJECTS: None. INTERVENTIONS: We interviewed subject matter experts to identify relevant prolonged casualty care medical challenges and selected two casualty types to further develop our model: a large thermal burn model and a severe hypoxia model. We met with a multidisciplinary group of experts in prolonged casualty care, nursing, and critical care to describe how these problems could evolve over time and how to contextualize the problems with a background story and clinical environment with expected resource availability. Following initial scenario drafting, we tested the models with expert clinicians. After multiple tests, we selected the hypoxia model for refinement and testing with inexperienced providers. We tested and refined this model until two research teams could proctor the scenario consistently despite subject performance variability. MEASUREMENTS AND MAIN RESULTS: We developed a 6–8-hour simulation model that represented a 14-hour scenario. This model of pneumonia evolved from presentation to severe hypoxia necessitating advanced interventions including airway, breathing, and shock management. The model included: context description, caregiver orientation scripts, hourly progressive physiology tracks corresponding to caregiver interventions, intervention/procedure-specific physiology tracks, intervention checklists, ...