Articles: emergency-medical-services.
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Paediatric out-of-hospital cardiac arrest (POHCA) is associated with poor survival and severe neurological sequelae. We conducted a systematic review on the impact of sociodemographic factors across different stages of POHCA. ⋯ Race and ethnicity are likely associated with POHCA risk and bystander CPR provision. These findings highlight the importance of prioritizing at-risk groups in POHCA prevention and intervention efforts. Further research is needed to understand underlying mechanisms.
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Observational Study
A Mobile Integrated Health Program for the Management of Undifferentiated Acute Complaints in Older Adults is Safe and Feasible.
Poor care access and lack of proper triage of medical complaints leads to inappropriate use of acute care resources. Mobile integrated health (MIH) programs may offer a solution by providing adaptable on-demand care. There is little information describing programs that manage undifferentiated complaints in the community. The objective of this study was to assess the safety and feasibility of an MIH program that responds to the community to manage medical complaints in older adults. ⋯ An MIH program designed to address the acute complaints of community-dwelling older adults was feasible and safe, with low rates of unforeseen emergency services utilizations. MIH programs have valuable diagnostic and therapeutic capabilities and may serve to help triage the acute medical needs of patients. Further study is required to validate the efficacy and cost-effectiveness of MIH programs.
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Clinical prediction models are created to help clinicians with medical decision making, aid in risk stratification, and improve diagnosis and/or prognosis. With growing availability of both prehospital and in-hospital observational registries and electronic health records, there is an opportunity to develop, validate, and incorporate prediction models into clinical practice. However, many prediction models have high risk of bias due to poor methodology. ⋯ There are eight steps that should be followed when developing and internally validating a prediction model: (1) problem definition, (2) coding of predictors, (3) addressing missing data, (4) ensuring adequate sample size, (5) variable selection, (6) evaluating model performance, (7) internal validation, and (8) model presentation. Subsequent steps include external validation, assessment of impact, and cost-effectiveness. By following these steps, researchers can develop a prediction model with the methodological rigor and quality required for prehospital and EM research.