Simulation video: a tool to evaluate communications skills in radiologist residents

Background Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents' communication skill levels can be measured accurately, a standardized e...

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Published inBMC medical education Vol. 23; no. 1; pp. 1 - 7
Main Authors Ding, Ning, Hu, Ge, Wang, Xuan, Sun, Hao, Song, Lan, Chen, Yu, Zhang, Daming, Xue, Huadan, Jin, Zhengyu
Format Journal Article
LanguageEnglish
Published London BioMed Central Ltd 18.08.2023
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Abstract Background Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents' communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model. Methods This is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed. Results The simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 [+ or -] 4.6) and 2018 (94.5 [+ or -] 4.2), 2016 and 2019 (97.3 [+ or -] 3.9), 2017 (97.0 [+ or -] 5.6) and 2019, 2017 and 2020 (97.7 [+ or -] 4.7), as well as 2019 and 2020 exams (all p [greater than or equal to] 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation. Conclusion The simulation video demonstrated a stable and better acceptable construct for assessing radiology residents' communication skills. Keywords: Communication skills, Radiology education, Evaluation model, Simulation video
AbstractList BackgroundEffective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents’ communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model.MethodsThis is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed.ResultsThe simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 ± 4.6) and 2018 (94.5 ± 4.2), 2016 and 2019 (97.3 ± 3.9), 2017 (97.0 ± 5.6) and 2019, 2017 and 2020 (97.7 ± 4.7), as well as 2019 and 2020 exams (all p ≥ 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation.ConclusionThe simulation video demonstrated a stable and better acceptable construct for assessing radiology residents’ communication skills.
Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents' communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model. This is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed. The simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 [+ or -] 4.6) and 2018 (94.5 [+ or -] 4.2), 2016 and 2019 (97.3 [+ or -] 3.9), 2017 (97.0 [+ or -] 5.6) and 2019, 2017 and 2020 (97.7 [+ or -] 4.7), as well as 2019 and 2020 exams (all p [greater than or equal to] 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation. The simulation video demonstrated a stable and better acceptable construct for assessing radiology residents' communication skills.
Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents' communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model.BACKGROUNDEffective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents' communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model.This is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed.METHODSThis is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed.The simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 ± 4.6) and 2018 (94.5 ± 4.2), 2016 and 2019 (97.3 ± 3.9), 2017 (97.0 ± 5.6) and 2019, 2017 and 2020 (97.7 ± 4.7), as well as 2019 and 2020 exams (all p ≥ 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation.RESULTSThe simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 ± 4.6) and 2018 (94.5 ± 4.2), 2016 and 2019 (97.3 ± 3.9), 2017 (97.0 ± 5.6) and 2019, 2017 and 2020 (97.7 ± 4.7), as well as 2019 and 2020 exams (all p ≥ 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation.The simulation video demonstrated a stable and better acceptable construct for assessing radiology residents' communication skills.CONCLUSIONThe simulation video demonstrated a stable and better acceptable construct for assessing radiology residents' communication skills.
Abstract Background Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents’ communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model. Methods This is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed. Results The simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 ± 4.6) and 2018 (94.5 ± 4.2), 2016 and 2019 (97.3 ± 3.9), 2017 (97.0 ± 5.6) and 2019, 2017 and 2020 (97.7 ± 4.7), as well as 2019 and 2020 exams (all p ≥ 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation. Conclusion The simulation video demonstrated a stable and better acceptable construct for assessing radiology residents’ communication skills.
Background Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating communication skills. To ensure that radiology residents' communication skill levels can be measured accurately, a standardized evaluation tool has been introduced. In twenty hospitals in Beijing, simulation videos have been developed as a way to assess the communication skills of radiology residents during their certification exams, to minimize evaluating biases. This study aims to assess the performance of a simulation video model in evaluating communications skills compared to the standard patient model. Methods This is a retrospective observational study. The performance of standard patient and simulation video models was evaluated through an eight-year examination of communication skills in radiology residents. From 2014 to 2021, communications skill tests were administered to 1003 radiology residents in 20 hospitals in Beijing. The standardized patient (SP) model was applied in 2014, and simulation videos were used from 2015 to 2021. The difficulty and discrimination radio of the tests were evaluated. The subjective survey for candidates on two models of communication skills evaluation was performed and analyzed. Results The simulation video model evaluation demonstrated stable difficulty (ranging from 0.92 to 0.98) and discrimination ratio (ranging from 0.37 to 0.49), except for minor exceptions of discrimination in 2019 (0.58) and 2020 (0.20). Furthermore, the Kruskal-Wallis H test revealed no significant differences in average scores between 2016 (93.9 [+ or -] 4.6) and 2018 (94.5 [+ or -] 4.2), 2016 and 2019 (97.3 [+ or -] 3.9), 2017 (97.0 [+ or -] 5.6) and 2019, 2017 and 2020 (97.7 [+ or -] 4.7), as well as 2019 and 2020 exams (all p [greater than or equal to] 0.05). In addition, candidates who responded to the survey preferred the simulation video model (with a 77.2% response rate), with 62.7% choosing it over the SP model for communication skills evaluation. Conclusion The simulation video demonstrated a stable and better acceptable construct for assessing radiology residents' communication skills. Keywords: Communication skills, Radiology education, Evaluation model, Simulation video
ArticleNumber 586
Audience Academic
Author Jin, Zhengyu
Ding, Ning
Wang, Xuan
Zhang, Daming
Chen, Yu
Hu, Ge
Sun, Hao
Xue, Huadan
Song, Lan
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Cites_doi 10.1186/s12909-019-1917-z
10.1186/s12909-018-1342-8
10.1097/EJA.0000000000001139
10.1186/s13244-021-00970-2
10.1016/j.cptl.2018.03.012
10.1016/j.nedt.2020.104476
10.3928/01484834-20080101-01
10.1007/s11096-017-0469-8
10.3109/0142159X.2016.1170792
10.1046/j.1365-2923.2003.01533.x
10.2214/AJR.14.12949
10.1016/j.jadohealth.2016.04.002
10.1016/S0140-6736(02)07810-8
10.1097/00001888-199306000-00002
10.1080/01421590802530898
10.1148/radiol.2019182210
10.1080/10401334.2021.1915789
10.1007/s00330-018-5503-2
10.1016/j.ejrad.2022.110464
10.1080/0142159021000000816
10.1016/j.jacr.2016.09.036
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References AG Rockall (4582_CR3) 2022; 155
RN Uppot (4582_CR12) 2019; 291
KB Greenberg (4582_CR21) 2016; 59
CM DeBenedectis (4582_CR13) 2017; 14
T Schreckenbach (4582_CR17) 2018; 18
L Fallowfield (4582_CR23) 2002; 359
LK Daley (4582_CR22) 2008; 47
AS Gamble (4582_CR18) 2020; 91
HS Barrows (4582_CR5) 1993; 68
CS Chan (4582_CR16) 2003; 37
A Gutzeit (4582_CR4) 2019; 29
K Yin (4582_CR11) 2016; 38
C Sun (4582_CR14) 2020; 20
P Rubin (4582_CR1) 2002; 24
X Wu (4582_CR15) 2014; 8
DB Larson (4582_CR2) 2014; 203
HS Barrows (4582_CR6) 1964; 39
4582_CR19
W May (4582_CR9) 2009; 31
JM Berger-Estilita (4582_CR7) 2020; 37
SA Pawluk (4582_CR20) 2018; 10
B Paravattil (4582_CR8) 2017; 39
J Zhang (4582_CR10) 2021; 12
References_xml – volume: 20
  start-page: 8
  issue: 1
  year: 2020
  ident: 4582_CR14
  publication-title: BMC Med Educ
  doi: 10.1186/s12909-019-1917-z
– volume: 18
  start-page: 237
  issue: 1
  year: 2018
  ident: 4582_CR17
  publication-title: BMC Med Educ
  doi: 10.1186/s12909-018-1342-8
– volume: 37
  start-page: 387
  issue: 5
  year: 2020
  ident: 4582_CR7
  publication-title: Eur J Anaesthesiol
  doi: 10.1097/EJA.0000000000001139
– volume: 12
  start-page: 25
  issue: 1
  year: 2021
  ident: 4582_CR10
  publication-title: Insights Imaging
  doi: 10.1186/s13244-021-00970-2
– volume: 10
  start-page: 779
  issue: 6
  year: 2018
  ident: 4582_CR20
  publication-title: Curr Pharm Teach Learn
  doi: 10.1016/j.cptl.2018.03.012
– volume: 91
  start-page: 104476
  year: 2020
  ident: 4582_CR18
  publication-title: Nurse Educ Today
  doi: 10.1016/j.nedt.2020.104476
– volume: 47
  start-page: 30
  issue: 1
  year: 2008
  ident: 4582_CR22
  publication-title: J Nurs Educ
  doi: 10.3928/01484834-20080101-01
– volume: 8
  start-page: 883
  year: 2014
  ident: 4582_CR15
  publication-title: Patient Prefer Adherence
– volume: 39
  start-page: 759
  issue: 4
  year: 2017
  ident: 4582_CR8
  publication-title: Int J Clin Pharm
  doi: 10.1007/s11096-017-0469-8
– volume: 38
  start-page: 636
  issue: 6
  year: 2016
  ident: 4582_CR11
  publication-title: Med Teach
  doi: 10.3109/0142159X.2016.1170792
– volume: 37
  start-page: 514
  issue: 6
  year: 2003
  ident: 4582_CR16
  publication-title: Med Educ
  doi: 10.1046/j.1365-2923.2003.01533.x
– volume: 203
  start-page: 957
  issue: 5
  year: 2014
  ident: 4582_CR2
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.14.12949
– volume: 59
  start-page: 230
  issue: 2
  year: 2016
  ident: 4582_CR21
  publication-title: J Adolesc Health
  doi: 10.1016/j.jadohealth.2016.04.002
– volume: 359
  start-page: 650
  issue: 9307
  year: 2002
  ident: 4582_CR23
  publication-title: Lancet
  doi: 10.1016/S0140-6736(02)07810-8
– volume: 68
  start-page: 443
  issue: 6
  year: 1993
  ident: 4582_CR5
  publication-title: Acad Med
  doi: 10.1097/00001888-199306000-00002
– volume: 39
  start-page: 802
  year: 1964
  ident: 4582_CR6
  publication-title: J Med Educ
– volume: 31
  start-page: 487
  issue: 6
  year: 2009
  ident: 4582_CR9
  publication-title: Med Teach
  doi: 10.1080/01421590802530898
– volume: 291
  start-page: 570
  issue: 3
  year: 2019
  ident: 4582_CR12
  publication-title: Radiology
  doi: 10.1148/radiol.2019182210
– ident: 4582_CR19
  doi: 10.1080/10401334.2021.1915789
– volume: 29
  start-page: 224
  issue: 1
  year: 2019
  ident: 4582_CR4
  publication-title: Eur Radiol
  doi: 10.1007/s00330-018-5503-2
– volume: 155
  start-page: 110464
  year: 2022
  ident: 4582_CR3
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2022.110464
– volume: 24
  start-page: 368
  issue: 4
  year: 2002
  ident: 4582_CR1
  publication-title: Med Teach
  doi: 10.1080/0142159021000000816
– volume: 14
  start-page: 87
  issue: 1
  year: 2017
  ident: 4582_CR13
  publication-title: J Am Coll Radiol
  doi: 10.1016/j.jacr.2016.09.036
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Snippet Background Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and...
Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and evaluating...
BackgroundEffective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching and...
Abstract Background Effective communication is a crucial component of radiology resident training, and many different aspects need to be explored when teaching...
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SubjectTerms Aerospace Education
Armed Forces
Candidates
Communication Skills
Curricula
Data Analysis
Doctoral Degrees
Educational aspects
Educational Innovation
Evaluation model
Evaluators
Examiners
Hospitals
Measurement Techniques
Medical education
Medical imaging
Medical students
National Surveys
Patients
Radiology
Radiology education
Radiology, Medical
Simulated patients
Simulation
Simulation video
Skill Analysis
Skills
State Surveys
Statistical Significance
Training
Training Objectives
Verbal communication
Video Technology
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Title Simulation video: a tool to evaluate communications skills in radiologist residents
URI https://www.proquest.com/docview/2865374209
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https://pubmed.ncbi.nlm.nih.gov/PMC10439603
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Volume 23
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