A Survey of Emergency Providers Regarding the Current Management of Anterior Shoulder Dislocations.

JOURNAL OF EMERGENCIES TRAUMA AND SHOCK(2020)

引用 4|浏览0
暂无评分
摘要
Background: Anterior shoulder dislocations (ASDs) are frequent painful injuries commonly treated in the emergency department. The last decade new potentially less traumatic and painful reduction techniques for ASDs have been introduced. Recent literature comparing best reduction techniques, medication use, and approaches is limited. To better guide future research including the use of these newer techniques, information about the current use of different reduction techniques and medication is needed. Methods: Our primary aim was to survey the techniques used by emergency practitioners to reduce ASDs. Our secondary objective was to gather data on medication usage during reduction. To these ends, we surveyed members of the Netherlands Society of Emergency Physicians. Results: Forty-four percent of respondents reported using a traction-based technique (Hippocrates or Stimson). Biomechanical techniques were used by 40% of respondents. Twelve percent reported using the Kocher leverage-based technique. Five percent of the techniques used could not be classified. A wide variety of procedural sedation and pain management interventions were reported, with an opioid and propofol being used most commonly. Approximately 9% of the reductions were attempted without any medications. Conclusions: To our knowledge, this is the first study of its kind on ASD management by emergency practitioners. Our results indicate that Dutch emergency practitioners employ all three classes of reduction techniques: traction-countertraction most commonly, closely followed by biomechanical techniques. Medication use during repositioning varied widely. Per our survey, emergency practitioners are desirous of an evidence-based guideline for ASD management.
更多
查看译文
关键词
Anterior shoulder dislocation,biomechanical reduction techniques,emergency department,glenohumeral dislocation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要