Assessing Emergency Clinicians' Needs from Trauma Clinical Guidance: A Mixed-Methods Study
Fountain, L.; Corredera-Wells, K.; Cozzi, N. P.; Goodloe, J. M.; Guido, J. M.; Johnson, A. B.; Kang, C. S.; McNally, T.; Nevedal, A. L.; Winslow, J. E.; Zavala Wong, G.; LaGrone, L. N.
Show abstract
BackgroundIn the United States, emergency clinicians are often the first to care for injured patients in the hospital setting. To better understand end-user needs, we evaluated emergency clinician priorities and preferences in accessing, interpreting, and applying trauma clinical guidance. MethodsEmergency clinicians were recruited via email for semi-structured video conference interviews. Rapid directed qualitative analysis of interview notes and audio recordings yielded initial insights about guidance barriers and facilitators. A subsequent quantitative survey was developed and distributed via email to members of relevant professional associations. Survey results were analyzed using descriptive and inferential statistics. ResultsTwelve emergency clinicians participated in interviews. 154 eligible participants responded to the survey. Clinicians expressed support for trauma clinical guidance overall but often find resources lacking. Barriers to guidance usage include lack of awareness, difficulty locating guidance, and cumbersome design. Clinical guidance should be objective, concise, updated, and easy-to-use at bedside. The strongest determinant of guidance usability was being quickly understood in a time-pressured situation. Clinicians prefer to access guidance through mobile applications or multi-modal channels. Rural clinicians reported additional difficulties in staffing and having resources needed to follow guidance. ConclusionWhen developing trauma clinical guidance, the trauma community should continue to consider the variety of end users and clinical settings, including emergency clinicians. Developing mobile device-friendly, quickly understandable guidance should be a priority for authors of trauma clinical guidance.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Variation in ambulance pre-alert process and practice: Cross-sectional survey of ambulance clinicians 96%
- Is higher-level trauma center care associated with better outcomes in patients injured by low-energy trauma? 94%
- Accuracy of the National Early Warning Score version 2 (NEWS2) in predicting need for time-critical treatment: Retrospective observational cohort study 94%
Similar papers in this journal
Similar papers in this journal
- A mixed methods study protocol to develop and pilot a Competency Assessment Tool to support therapists in the care of patients with blunt CHest trauma (CATCh Study) 96%
- Understanding good communication in ambulance pre-alerts to Emergency Department. Findings from a qualitative study of UK emergency services 95%
- Surgery & COVID-19: A rapid scoping review of the impact of COVID-19 on surgical services during public health emergencies 94%
Similar papers in this journal
- A System Dynamics Model for Effects of Workplace Violence and Clinician Burnout on Agitation Management in the Emergency Department 92%
- Measurement Matters: Changing Penalty Calculations under the Hospital Acquired Condition Reduction Program (HACRP) Cost Hospitals Millions 91%
- Implementation strategies for telemental health: a systematic review 91%
Similar papers in this journal
- A qualitative study on factors influencing health workers’ uptake of a pilot surgical antibiotic prophylaxis stewardship programme in selected Georgian hospitals 94%
- Sources of Stress and Coping Mechanisms: Experiences of Maternal Health Care Providers in Western Kenya 93%
- “ She helped from the first minute to the last ” – experiences of respectful maternal and newborn care during the COVID-19 pandemic in Nampula Province, Mozambique 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.