Collecting Validity Evidence for Simulation-Based Assessment of Point-of-Care Ultrasound Skills

被引:17
作者
Jensen, Jesper Korup [1 ]
Dyre, Liv [2 ,4 ]
Jorgensen, Mattis Enggaard [3 ,5 ]
Andreasen, Lisbeth Anita [4 ]
Tolsgaard, Martin Gronnebaek [4 ]
机构
[1] Odense Univ Hosp, Dept Anesthesiol & Intens Care, JB Winslows Vej 4, DK-5000 Odense C, Denmark
[2] Rigshosp, Copenhagen Univ Hosp, Dept Obstet, Ctr Fetal Med, Copenhagen, Denmark
[3] Naestved Slagelse Ringsted NSR Hosp, Dept Radiol, Slagelse, Denmark
[4] Rigshosp, Copenhagen Acad Med Educ & Simulat, Copenhagen, Denmark
[5] Bispebjerg Hosp, Dept Radiol, Copenhagen, Denmark
关键词
focused assessment with sonography for trauma; mastery learning; point-of-care ultrasound; simulation-based medical education; validity evidence; virtual reality; FOCUSED ASSESSMENT; LEARNING-CURVE; TRAUMA; SONOGRAPHY; RESIDENTS; EDUCATION; PERFORMANCE; MODELS;
D O I
10.1002/jum.14292
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
ObjectivesThe aim of this study was to examine the validity of a simulator test designed to evaluate focused assessment with sonography for trauma (FAST) skills. MethodsParticipants included a group of ultrasound novices (n=25) and ultrasound experts (n=10). All participants had their FAST skills assessed using a virtual reality ultrasound simulator. Procedural performance on the 4 FAST windows was assessed by automated simulator metrics, which received a passing or failing score. The validity evidence for these simulator metrics was examined by a stepwise approach according to the Standards for Educational and Psychological Testing. Metrics with validity evidence were included in a simulator test, and the reliability of test scores was determined. Finally, a pass/fail level for procedural performance was established. ResultsOf the initial 55 metrics, 34 (61.8%) had validity evidence (P<.01). A simulator test was constructed based on the 34 metrics with established validity evidence, and test scores were calculated as percentages of the maximum score. The median simulator test scores were 14.7% (range, 0%-47.1%) and 94.1% (range, 94.1%-100%) for novices and experts, respectively (P<.001). The pass/fail level was determined to be 79.7%. ConclusionsThe performance of FAST examinations can be assessed in a simulated setting using defensible performance standards, which have both good reliability and validity.
引用
收藏
页码:2475 / 2483
页数:9
相关论文
共 26 条
  • [1] [Anonymous], 2012, ADV TRAUM LIF SUPP S
  • [2] Bedside ultrasound training using web-based e-learning and simulation early in the curriculum of residents
    Beaulieu Y.
    Laprise R.
    Drolet P.
    Thivierge R.L.
    Serri K.
    Albert M.
    Lamontagne A.
    Bélliveau M.
    Denault A.-Y.
    Patenaude J.-V.
    [J]. Critical Ultrasound Journal, 2015, 7 (1)
  • [3] Are Live Ultrasound Models Replaceable? Traditional versus Simulated Education Module for FAST Exam
    Bentley, Suzanne
    Mudan, Gurpreet
    Strother, Christopher
    Wong, Nelson
    [J]. WESTERN JOURNAL OF EMERGENCY MEDICINE, 2015, 16 (06) : 818 - 822
  • [4] A Review of Computer-Based Simulators for Ultrasound Training
    Blum, Tobias
    Rieger, Andreas
    Navab, Nassir
    Friess, Helmut
    Martignoni, Marc
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2013, 8 (02): : 98 - 108
  • [5] The Face, Content, and Construct Validity Assessment of a Focused Assessment in Sonography for Trauma Simulator
    Chaudery, Muzzafer
    Clark, James
    ap Dafydd, Derf
    Dunn, Joel
    Bew, Duncan
    Wilson, Mark H.
    Darzi, Ara
    [J]. JOURNAL OF SURGICAL EDUCATION, 2015, 72 (05) : 1032 - 1038
  • [6] AIUM Practice Guideline for the Performance of the Focused Assessment With Sonography for Trauma (FAST) Examination Guideline developed in collaboration with the American College of Emergency Physicians (ACEP)
    Cohen, Harris L.
    Langer, Jill
    McGahan, John P.
    Bahner, David
    Blaivas, Michael
    Fox, J. Christian
    Geria, Rajesh N.
    Hoffenberg, Stephen
    Kendall, John
    Raio, Christopher
    Sierzenski, Paul
    Tayal, Vivek S.
    Wax, Joseph
    Pellerito, John
    Bromley, Bryann
    Fulgham, Pat
    Henningsen, Charlotte
    Levitov, Alexander
    Noble, Vicki
    Odibo, Anthony
    Paushter, David
    Pretorius, Dolores
    Sakhel, Khaled
    Salem, Shia
    Smith, Jay
    Woodward, Paula
    [J]. JOURNAL OF ULTRASOUND IN MEDICINE, 2014, 33 (11) : 2047 - 2056
  • [7] Collecting Validity Evidence for the Assessment of Mastery Learning in Simulation-Based Ultrasound Training
    Dyre, L.
    Norgaard, L. N.
    Tabor, A.
    Madsen, M. E.
    Sorensen, J. L.
    Ringsted, C.
    Tolsgaard, M.
    [J]. ULTRASCHALL IN DER MEDIZIN, 2016, 37 (04): : 382 - 388
  • [8] Beyond the Simulation Laboratory: A Realist Synthesis Review of Clinical Outcomes of Simulation-Based Mastery Learning
    Griswold-Theodorson, Sharon
    Ponnuru, Srikala
    Dong, Chaoyan
    Szyld, Demian
    Reed, Trent
    McGaghie, William C.
    [J]. ACADEMIC MEDICINE, 2015, 90 (11) : 1553 - 1560
  • [9] Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review
    Issenberg, SB
    McGaghie, WC
    Petrusa, ER
    Gordon, DL
    Scalese, RJ
    [J]. MEDICAL TEACHER, 2005, 27 (01) : 10 - 28
  • [10] Jang T, 2004, J ULTRAS MED, V23, P793