Articles: intensive-care-units.
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Intensive care medicine · Nov 2024
Implementing palliative care in the intensive care unit: a systematic review and mapping of knowledge to the implementation research logic model.
The importance and effectiveness of palliative care (PC) in intensive care units (ICU) are known. Less is known about the implementation and integration of ICU-based PC interventions. This systematic review aims to use a modified implementation research logic model (IRLM) to identify, map, and synthesise evidence on implementation of ICU-PC (primary and/or specialist) interventions. ⋯ This review provides recommendations for ICUs when designing (stakeholder involvement, ICU-PC collaboration, assessment of culture and resources); implementing (targeted and adapted strategies, champions, and education); and evaluating/reporting (collect effectiveness and implementation data, including mechanisms) ICU-PC interventions. Use of implementation structures and patient/family involvement are both needed and important to be included.
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Parents of children in pediatric intensive care units have varied communication experiences with health care professionals. Little is known about factors associated with parents' perceptions of miscommunication. ⋯ Parental stress and trust in physician scores were associated with perceived miscommunication. Further research is needed to understand the causes and consequences of miscommunication in order to support hospitalized children and their parents.
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Various social determinants of health have been established as significant risk factors for COVID-19 transmission, prevalence, incidence, and mortality. Area deprivation index (ADI, a composite score made up of educational, housing, and poverty markers) is an accepted multidimensional social determinants of health measure. Little is known about how structural social determinants of health before hospitalization, including ADI, may affect mortality related to COVID-19 in critically ill patients. ⋯ In this study, clinical factors were more predictive of mortality than ADI and other social determinants of health. The influence of ADI may be most relevant before hospital admission. These findings could serve as a foundation for shaping targeted public health strategies and hospital interventions, enhancing care delivery, and potentially contributing to better outcomes in future pandemics.
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Intensive care medicine · Nov 2024
From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit.
Despite its promise to enhance patient outcomes and support clinical decision making, clinical use of artificial intelligence (AI) models at the bedside remains limited. Translation of advancements in AI research into tangible clinical benefits is necessary to improve neonatal and pediatric care for critically ill patients. This systematic review seeks to assess the maturity of AI models in neonatal and pediatric intensive care unit (NICU and PICU) treatment, and their risk of bias and objectives. ⋯ The majority of AI models remain within the testing and prototyping phase and have a high risk of bias. Bridging the gap between designing and clinical implementation of AI models is needed to warrant safe and trustworthy AI models. Specific guidelines and approaches can help improve clinical outcome with usage of AI.
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Observational Study
Picturing Empathy in the Intensive Care Unit: Patient Photographs at an Urban Community Teaching Hospital.
Intensive care unit (ICU) clinicians are at risk for burnout, which can be driven by depersonalization. Photographs of patients in their baseline state of health before ICU admission may enhance the connection between clinicians and patients. The use of patient photographs has not been evaluated in an urban community teaching hospital. ⋯ Patient photographs may enhance connections between clinicians and patients in the ICU, potentially reducing depersonalization and burnout.