Articles: emergency-department.
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Review Meta Analysis
Risk-stratification tools for emergency department patients with syncope: A systematic review and meta-analysis of direct evidence for SAEM GRACE.
Approximately 10% of patients with syncope have serious or life-threatening causes that may not be apparent during the initial emergency department (ED) assessment. Consequently, researchers have developed clinical decision rules (CDRs) to predict adverse outcomes and risk stratify ED syncope patients. This systematic review and meta-analysis (SRMA) aims to cohere and synthesize the best current evidence regarding the methodological quality and predictive accuracy of CDRs for developing an evidence-based ED syncope management guideline. ⋯ Most CDRs for ED adult syncope management have low-quality evidence for routine clinical practice use. Only three CDRs (SFSR, CSRS, OESIL) are validated by more than two studies, with significant overlap in operating characteristics.
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Meta Analysis
Lidocaine patch for treatment of acute localized pain in the emergency department: a systematic review and meta-analysis.
Lidocaine patches are commonly prescribed for acute localized pain. Most of the existing evidence is, however, derived from postoperative or chronic pain. The objective of this study is to assess the efficacy and safety of lidocaine patch compared to placebo patch or nonsteroidal anti-inflammatory drugs (NSAIDs) for acute localized pain. ⋯ The risk of adverse events was similar between the groups (risk ratio: 0.90; 95% CI: 0.48-1.67; moderate-quality evidence). In the two trials comparing lidocaine patches with NSAIDs, there was no statistically significant difference in pain relief between the treatments. Low to moderate-quality evidence from small trials supports the efficacy and safety of lidocaine patch for the treatment of acute localized pain.
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Review Meta Analysis
Discharge instruction comprehension by older adults in the emergency department: A systematic review and meta-analysis.
Older adults are at high risk of adverse health outcomes in the post-emergency department (ED) discharge period. Prior work has shown that discharged older adults have variable understanding of their discharge instructions which may contribute to these outcomes. To identify discharge comprehension gaps amenable to future interventions, we utilize meta-analysis to determine patient comprehension across five domains of discharge instructions: diagnosis, medications, self-care, routine follow-up, and return precautions. ⋯ Older patients discharged from the ED had greater comprehension of self-care and follow-up instructions than about their medications. These findings suggest that medication instructions may be a priority domain for future interventions.
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Review Meta Analysis
Interventions to improve the quality of low back pain care in emergency departments: a systematic review and meta-analysis.
Low back pain (LBP) is a common reason people visit Emergency Departments (ED). However, the care provided is often not aligned with guideline recommendations. Despite increasing research aiming to promote guideline-based care in EDs, interventions to best implement recommendations are unknown. ⋯ Interventions were mostly single-system focused with a preference for education-based implementation strategies targeting patients or clinicians. The interventions reduced the use of opioid medication for LBP in ED, but the effects on lumbar imaging rates were uncertain. Further high-quality research is needed to improve LBP care in this setting.
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Multiple decision-aiding models are available to help physicians identify acute coronary syndrome (ACS) and accelerate the decision-making process in emergency departments (EDs). This study evaluated the diagnostic performance of the Manchester Acute Coronary Syndrome (MACS) rule and its derivations, enhancing the evidence for their clinical use. A systematic review and meta-analysis was performed. ⋯ Of all the MACS models, T-MACS displayed the highest overall accuracy due to its high sensitivity and significantly superior specificity. T-MACS exhibits very good diagnostic performance in predicting both AMI and MACE. This makes it a highly promising tool for managing patients with acute chest pain.