Emergency medicine journal : EMJ
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Children with mental health crises require access to specialised resources and services which are not yet standard in general and paediatric EDs. In 2010, we published a systematic review that provided some evidence to support the use of specialised care models to reduce hospitalisation, return ED visits and length of ED stay. We perform a systematic review to update the evidence base and inform current policy statements. ⋯ Lower-quality data suggest benefits to the use of specialised resources and services for paediatric mental health care in general and paediatric EDs. Experimental evaluation of strategies and the inclusion of patient-reported outcomes will improve confidence in these findings. Additional psychometric studies are needed for the HEADS-ED tool to be considered well established.
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Observational Study
The Royal College of Emergency Medicine composite pain scale for children: level of inter-rater agreement.
To assess the inter-rater agreement of the Royal College of Emergency Medicine (RCEM) Composite Pain Scale. ⋯ The Ladder score could be omitted from this composite tool as it has poor inter-rater agreement in comparison with the other indicators.
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The original Manchester Acute Coronary Syndromes model (MACS) 'rules in' and 'rules out' acute coronary syndromes (ACS) using high sensitivity cardiac troponin T (hs-cTnT) and heart-type fatty acid binding protein (H-FABP) measured at admission. The latter is not always available. We aimed to refine and validate MACS as Troponin-only Manchester Acute Coronary Syndromes (T-MACS), cutting down the biomarkers to just hs-cTnT. ⋯ T-MACS could 'rule out' ACS in 40% of patients, while 'ruling in' 5% at highest risk using a single hs-cTnT measurement on arrival. As a clinical decision aid, T-MACS could therefore help to conserve healthcare resources.
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In Reunion Island, alcohol is the most tried out psychoactive substance. To our knowledge, few indicators measuring the health burden of alcohol use exist on the island. In this context, an exploratory analysis based on syndromic surveillance data was implemented in order to describe the emergency department (ED) visits for alcohol intoxication (AI) and factors associated with their variations. ⋯ There was a significant increase in ED visits for AI during days of benefits payday, weekends and publics holidays. This study demonstrated the interest of syndromic surveillance to monitor non-infectious diseases. Time-series models showed a robust association between ED visits for AI and several factors.