Assessing healthcare simulation facilitation using a competency-based tool derived from practice in low-resource settings

被引:0
作者
Mossenson, Adam I. [1 ,2 ]
Brown, Janie A. [1 ,3 ]
Tuyishime, Eugene [4 ,5 ]
Martinez, Rodrigo Rubio [6 ]
Khalid, Karima [7 ]
Livingston, Patricia [8 ]
机构
[1] St John God Midland Publ & Private Hosp, Dept Anaesthesia, Perth, WA, Australia
[2] Curtin Univ, Curtin Med Sch, Perth, Australia
[3] Curtin Univ, Curtin Sch Nursing, Perth, Australia
[4] Univ Rwanda, Dept Anesthesia Crit Care & Emergency Med, Kigali, Rwanda
[5] Initiat Med Equ & Global Hlth IMEGH, Kigali, Rwanda
[6] ABC Med Ctr, Dept Anesthesiol, Mexico City, Mexico
[7] Muhimbili Univ Hlth & Allied Sci, Dept Anesthesiol, Dar Es Salaam, Tanzania
[8] Dalhousie Univ, Dept Anesthesia Pain Management & Perioperat Med, Halifax, NS, Canada
关键词
assessment; facilitation; low-resource settings; simulation; validity argument; FACULTY-DEVELOPMENT; RELIABILITY; VALIDITY; GUIDE;
D O I
10.1111/anae.16621
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
IntroductionThe worldwide expansion in healthcare simulation training includes accelerated uptake in low-resource settings. Until recently, no framework has specifically delineated the competencies underpinning effective facilitation practice in low-resource settings. We describe the development of the Facilitation Behavioural Assessment Tool for simulation facilitation training and report reliability in scoring facilitation performance. This tool was informed by healthcare simulation facilitation practice in low-resource settings.MethodsThe tool has 32 facilitation competencies, organised across three performance categories (techniques, artistry and values) and a three-point scale is used for scoring. Following a short, self-directed online training module, participants scored three videos that depicted facilitation performance at three levels. Videos were presented in a random order. Intraclass correlations and internal consistency with Cronbach's alpha were calculated. A random intercepts 3 x 3 linear mixed model assessed discrimination across the three levels of facilitation performance and the influence of previous facilitation on scoring.ResultsIn total, 104 participants from 29 countries completed rater training and scored at least one video. The inter-rater reliability was 0.73 (95%CI 0.66-0.79) and 0.89 (95%CI 0.85-0.92) for the intraclass correlation coefficient 2 and intraclass correlation coefficient 2k, respectively. Cronbach's alpha was 0.84 (95%CI 0.79-0.89) for the positive video; 0.84 (95%CI 0.78-0.88) for the mixed video; and 0.91(95%CI 0.87-0.93) for the negative video. Previous simulation facilitation experience did not affect the ability to distinguish between the videos meaningfully, but novice facilitators scored facilitation behaviours higher for mixed and negative videos compared with participants with intermediate and high levels of experience.DiscussionOur study shows that suitable reliability and internal consistency can be achieved when using the Facilitation Behavioural Assessment Tool. We recommend using the tool to support learning conversations for simulation faculty development in low-resource settings.
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页数:9
相关论文
共 38 条
  • [1] Healthcare Simulation in Resource-Limited Regions and Global Health Applications
    Andreatta, Pamela
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2017, 12 (03): : 135 - 138
  • [2] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [3] A review on the evolution of simulation-based training to help build a safer future
    Bienstock, Jared
    Heuer, Albert
    [J]. MEDICINE, 2022, 101 (25)
  • [4] Cronbach's alpha
    Bland, JM
    Altman, DG
    [J]. BRITISH MEDICAL JOURNAL, 1997, 314 (7080) : 572 - 572
  • [5] Debriefing Assessment for Simulation in Healthcare Development and Psychometric Properties
    Brett-Fleegler, Marisa
    Rudolph, Jenny
    Eppich, Walter
    Monuteaux, Michael
    Fleegler, Eric
    Cheng, Adam
    Simon, Robert
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2012, 7 (05): : 288 - 294
  • [6] A Review on Sample Size Determination for Cronbach's Alpha Test: A Simple Guide for Researchers
    Bujang, Mohamad Adam
    Omar, Evi Diana
    Baharum, Nur Akmal
    [J]. MALAYSIAN JOURNAL OF MEDICAL SCIENCES, 2018, 25 (06): : 85 - 99
  • [7] A Conceptual Framework for the Development of Debriefing Skills A Journey of Discovery, Growth, and Maturity
    Cheng, Adam
    Eppich, Walter
    Kolbe, Michaela
    Meguerdichian, Michael
    Bajaj, Komal
    Grant, Vincent
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2020, 15 (01): : 55 - 60
  • [8] Coaching the Debriefer Peer Coaching to Improve Debriefing Quality in Simulation Programs
    Cheng, Adam
    Grant, Vincent
    Huffman, James
    Burgess, Gavin
    Szyld, Demian
    Robinson, Traci
    Eppich, Walter
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2017, 12 (05): : 319 - 325
  • [9] Cheng A, 2016, CLIN SIMUL NURS, V12, pA3, DOI [10.1016/j.ecns.2016.04.008, 10.1186/s41077-016-0025-y]
  • [10] Faculty Development for Simulation Programs Five Issues for the Future of Debriefing Training
    Cheng, Adam
    Grant, Vincent
    Dieckmann, Peter
    Arora, Sonal
    Robinson, Traci
    Eppich, Walter
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2015, 10 (04): : 217 - 222