Crowdsource authoring as a tool for enhancing the quality of competency assessments in healthcare professions
The current Objective Structured Clinical Examination (OSCE) is complex, costly, and difficult to provide high-quality assessments. This pilot study employed a focus group and debugging stage to test the Crowdsource Authoring Assessment Tool (CAAT) for the creation and sharing of assessment tools us...
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Published in | PloS one Vol. 18; no. 11; p. e0278571 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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02.11.2023
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Abstract | The current Objective Structured Clinical Examination (OSCE) is complex, costly, and difficult to provide high-quality assessments. This pilot study employed a focus group and debugging stage to test the Crowdsource Authoring Assessment Tool (CAAT) for the creation and sharing of assessment tools used in editing and customizing, to match specific users' needs, and to provide higher-quality checklists. Competency assessment international experts (n = 50) were asked to 1) participate in and experience the CAAT system when editing their own checklist, 2) edit a urinary catheterization checklist using CAAT, and 3) complete a Technology Acceptance Model (TAM) questionnaire consisting of 14 items to evaluate its four domains. The study occurred between October 2018 and May 2019. The median time for developing a new checklist using the CAAT was 65.76 minutes whereas the traditional method required 167.90 minutes. The CAAT system enabled quicker checklist creation and editing regardless of the experience and native language of participants. Participants also expressed the CAAT enhanced checklist development with 96% of them willing to recommend this tool to others. The use of a crowdsource authoring tool as revealed by this study has efficiently reduced the time to almost a third it would take when using the traditional method. In addition, it allows collaborations to partake on a simple platform which also promotes contributions in checklist creation, editing, and rating. |
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AbstractList | The current Objective Structured Clinical Examination (OSCE) is complex, costly, and difficult to provide high-quality assessments. This pilot study employed a focus group and debugging stage to test the Crowdsource Authoring Assessment Tool (CAAT) for the creation and sharing of assessment tools used in editing and customizing, to match specific users' needs, and to provide higher-quality checklists. Competency assessment international experts (n = 50) were asked to 1) participate in and experience the CAAT system when editing their own checklist, 2) edit a urinary catheterization checklist using CAAT, and 3) complete a Technology Acceptance Model (TAM) questionnaire consisting of 14 items to evaluate its four domains. The study occurred between October 2018 and May 2019. The median time for developing a new checklist using the CAAT was 65.76 minutes whereas the traditional method required 167.90 minutes. The CAAT system enabled quicker checklist creation and editing regardless of the experience and native language of participants. Participants also expressed the CAAT enhanced checklist development with 96% of them willing to recommend this tool to others. The use of a crowdsource authoring tool as revealed by this study has efficiently reduced the time to almost a third it would take when using the traditional method. In addition, it allows collaborations to partake on a simple platform which also promotes contributions in checklist creation, editing, and rating. |
Audience | Academic |
Author | Lin, Che-Wei Salcedo, Daniel Huang, Chih-Wei Kang, Enoch Yi No Li, Yu-Chuan (Jack) Clinciu, Daniel L |
AuthorAffiliation | 8 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan 6 Evidence-Based Medicine Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan 4 International Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan 11 Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan 5 Department of Education, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan 10 Research Center of Big Data and Meta-analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan 3 Taipei Municipal Wanfang Hospital, Taipei, Taiwan 9 International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan University of Science and Technology of Fujairah, YEMEN 12 TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan 1 Department of Education and Humanities in Medicine, School |
AuthorAffiliation_xml | – name: 8 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan – name: 2 Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan – name: 6 Evidence-Based Medicine Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan – name: 7 Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan – name: 4 International Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan – name: 11 Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan – name: 9 International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan – name: University of Science and Technology of Fujairah, YEMEN – name: 1 Department of Education and Humanities in Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan – name: 12 TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan – name: 3 Taipei Municipal Wanfang Hospital, Taipei, Taiwan – name: 5 Department of Education, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan – name: 10 Research Center of Big Data and Meta-analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan |
Author_xml | – sequence: 1 fullname: Lin, Che-Wei – sequence: 2 fullname: Clinciu, Daniel L – sequence: 3 fullname: Salcedo, Daniel – sequence: 4 fullname: Huang, Chih-Wei – sequence: 5 fullname: Kang, Enoch Yi No – sequence: 6 fullname: Li, Yu-Chuan (Jack) |
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Cites_doi | 10.1080/0142159X.2018.1498613 10.1080/0142159X.2018.1506417 10.1080/0142159X.2017.1390214 10.1136/bmj.1.5955.447 10.1007/s11606-013-2536-8 10.1007/S40037-016-0265-5 10.21236/ADA581803 10.1177/0163278704267044 10.1016/S0140-6736(00)04221-5 10.1046/j.1365-2923.1997.d01-45.x 10.1046/j.1365-2923.2003.01495.x 10.2307/25148660 10.1111/j.1365-2923.1991.tb00037.x 10.3109/0142159X.2014.874552 10.1080/0142159X.2018.1507263 |
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SubjectTerms | Authoring Biology and Life Sciences Catheterization Check lists Collaboration Confidentiality Crowdsourcing Editing Encyclopedias Engineering and Technology Evaluation Focus groups Medical colleges Medical education Medicine and Health Sciences People and Places Quality assessment Research and analysis methods Skills Social networks Social Sciences |
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Title | Crowdsource authoring as a tool for enhancing the quality of competency assessments in healthcare professions |
URI | https://www.proquest.com/docview/3069192117 https://search.proquest.com/docview/2886327068 https://pubmed.ncbi.nlm.nih.gov/PMC10621860 https://doaj.org/article/37157ee345154b0fbc09fe1c4b50dff9 http://dx.doi.org/10.1371/journal.pone.0278571 |
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