Literature DB >> 27636021

Effect of Body-Worn Cameras on EMS Documentation Accuracy: A Pilot Study.

Jeffrey D Ho, Donald M Dawes, Evan M McKay, Jeremy J Taliercio, Scott D White, Blair J Woodbury, Mark A Sandefur, James R Miner.   

Abstract

INTRODUCTION: Current Emergency Medical Services (EMS) documentation practices usually occur from memory after an event is over. While this practice is fairly standard, it is unclear if it can introduce significant error. Modern technology has seen the increased use of recorded video by society to more objectively document notable events. Stationary mounted cameras, cell-phone cameras, and law enforcement officer Body-Worn Cameras (BWCs) are increasingly used by society for this purpose. Video used in this way can often clarify or contradict recall from memory. BWCs are currently not widely used by EMS. The hypothesis is that current EMS documentation practices are inaccurate and that BWCs will have a positive effect on documentation accuracy.
METHODS: This prospective, observational study used a convenience sample of paramedics in a simulation lab. The Paramedics wore a BWC and responded to a simulated call of "One Down" (unresponsive from heroin abuse) involving Role Players (RPs). The paramedics received standardized cues from the RPs during the simulation to keep it on track.  The simulation contained many factors of concern (e.g., weapons and drugs in plain view, unattended minors, etc.) and intentional stressors (e.g., distraught family member, uncooperative patient, etc.). Upon completion of the scenario, paramedic documentation occurred from memory on an electronic template.  After initial documentation, paramedics viewed their BWC recording and were allowed to make tabulated changes. Changes were categorized by a priori criteria as minor, moderate, or major.
RESULTS: Ten paramedics participated with an average age of 33.3 years (range 22-43), 8 males and 2 females. The average length of paramedic career experience was 7.7 years (range 2 months to 20 years). There were 71 total documentation changes (7 minor, 51 moderate, 13 major) made after video review. Linear regression (ANCOVA) indicated changes made indirectly correlated with years of experience (coefficient 8.27, 4.22-12.3, 95% CI, p = 0.002), but all made some changes.
CONCLUSION: Current EMS documentation practices demonstrate significant inaccuracy regardless of years of experience. Use of BWC technology appears to significantly improve EMS documentation accuracy in this pilot study.

Entities:  

Keywords:  Emergency Medical Services; body-worn camera; documentation; memory; video

Mesh:

Year:  2016        PMID: 27636021     DOI: 10.1080/10903127.2016.1218984

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  5 in total

1.  Using machine learning to predict subsequent events after EMS non-conveyance decisions.

Authors:  Jani Paulin; Akseli Reunamo; Jouni Kurola; Hans Moen; Sanna Salanterä; Heikki Riihimäki; Tero Vesanen; Mari Koivisto; Timo Iirola
Journal:  BMC Med Inform Decis Mak       Date:  2022-06-23       Impact factor: 3.298

2.  The use of body-worn cameras in pre-hospital resuscitation.

Authors:  Alistair Dewar; David Lowe; Donald Mcphail; Gareth Clegg
Journal:  Br Paramed J       Date:  2019-09-01

3.  The Cardiac Arrest Support Tier: a service evaluation.

Authors:  Matthew Metcalf; Matthew Robinson; Pippa Hall; James Goss
Journal:  Br Paramed J       Date:  2020-09-01

4.  Law and (rec)order: Updating memory for criminal events with body-worn cameras.

Authors:  Delene Adams; Helen M Paterson; Hamish G MacDougall
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

Review 5.  What evidence supports the use of Body Worn Cameras in mental health inpatient wards? A systematic review and narrative synthesis of the effects of Body Worn Cameras in public sector services.

Authors:  Keiran Wilson; Jessica Eaton; Una Foye; Madeleine Ellis; Ellen Thomas; Alan Simpson
Journal:  Int J Ment Health Nurs       Date:  2021-12-08       Impact factor: 5.100

  5 in total

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