Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization
<h3>Background</h3><p dir="ltr">Simulation-Based Education (SBE) can effectively immerse learners in scenarios that mimic clinical situations, it helps mitigate safety risks, and it provides an opportunity to practise based on focused learning objectives. According to the...
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2024
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| _version_ | 1864513514101538816 |
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| author | Emad Almomani (18466428) |
| author2 | Natalie Pattison (3930653) Guillaume Alinier (6952004) |
| author2_role | author author |
| author_facet | Emad Almomani (18466428) Natalie Pattison (3930653) Guillaume Alinier (6952004) |
| author_role | author |
| dc.creator.none.fl_str_mv | Emad Almomani (18466428) Natalie Pattison (3930653) Guillaume Alinier (6952004) |
| dc.date.none.fl_str_mv | 2024-05-26T10:12:01Z |
| dc.identifier.none.fl_str_mv | 10.57945/manara.25709325.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/conference_contribution/Post-Simulation_Reflective_Learning_Conversations_Model_for_Interprofessional_Education_Toward_Clinical_Reasoning_and_Judgment_Skills_Critical_Thinking_and_Self-Efficacy_Optimization/25709325 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Reflective Learning Conversations Debriefing Interprofessional education Simulation-based education Clinical reasoning Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |
| dc.title.none.fl_str_mv | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| dc.type.none.fl_str_mv | Text Conference contribution info:eu-repo/semantics/publishedVersion text conference object |
| description | <h3>Background</h3><p dir="ltr">Simulation-Based Education (SBE) can effectively immerse learners in scenarios that mimic clinical situations, it helps mitigate safety risks, and it provides an opportunity to practise based on focused learning objectives. According to the International Nursing Association for Clinical Simulation and Learning (INACSL), debriefing is an essential part of a simulation, and post-simulation Reflective Learning Conversations (RLC) is a form of debriefing that incorporates empathic, active, and reflective discussions shared between a small group of participants, facilitated by a trained/competent facilitator. However, the impact of group-based interprofessional RLC on clinical reasoning and judgment, critical thinking skills, and self-efficacy levels with minimal risk of cognitive overload have not been previously investigated, especially with contributing factors of scenario complexity, and variations in learners’ experiences, seniority, backgrounds, and competence levels in a multicultural learning environment. This study describes the development and validation of an interprofessional post-simulation RLC model designed to optimize the clinical reasoning and judgment, critical thinking skills, and self-efficacy in consideration of simulation scenario case complexity and variations in learners’ experiences, seniority, backgrounds, and competence levels in a multicultural learning environment.</p><h3>Methods</h3><p dir="ltr">A working group (N=18) including doctors, nurses, researchers, educators, and patients collaboratively co-designed the RLC model through theoretical-driven and conceptual analysis processes. Testing the model’s reliability and validity using a mixed method approach incorporating: a self-reported questionnaire, direct observations, and focus groups.</p><h3>Results</h3><p dir="ltr">The new model was successfully established incorporating a process pathway and guided scripts (Table 1). The face and content validity of the model were tested and confirmed. The data collection of the reliability measures is ongoing.</p><h3>Conclusion</h3><p dir="ltr">Post-simulation RLC is a form of simulation debriefing, however, it is important to consider the impact of group-based interprofessional RLC on clinical reasoning and judgment, critical thinking skills, and self-efficacy levels with minimal risk of cognitive overload.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_87e681ed5be53887b211c4ec3421c836 |
| identifier_str_mv | 10.57945/manara.25709325.v1 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25709325 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy OptimizationEmad Almomani (18466428)Natalie Pattison (3930653)Guillaume Alinier (6952004)Biomedical and clinical sciencesClinical sciencesHealth sciencesHealth services and systemsReflective Learning ConversationsDebriefingInterprofessional educationSimulation-based educationClinical reasoningQatar Health Congress 2023 and the 3rd Qatar Public Health Conference<h3>Background</h3><p dir="ltr">Simulation-Based Education (SBE) can effectively immerse learners in scenarios that mimic clinical situations, it helps mitigate safety risks, and it provides an opportunity to practise based on focused learning objectives. According to the International Nursing Association for Clinical Simulation and Learning (INACSL), debriefing is an essential part of a simulation, and post-simulation Reflective Learning Conversations (RLC) is a form of debriefing that incorporates empathic, active, and reflective discussions shared between a small group of participants, facilitated by a trained/competent facilitator. However, the impact of group-based interprofessional RLC on clinical reasoning and judgment, critical thinking skills, and self-efficacy levels with minimal risk of cognitive overload have not been previously investigated, especially with contributing factors of scenario complexity, and variations in learners’ experiences, seniority, backgrounds, and competence levels in a multicultural learning environment. This study describes the development and validation of an interprofessional post-simulation RLC model designed to optimize the clinical reasoning and judgment, critical thinking skills, and self-efficacy in consideration of simulation scenario case complexity and variations in learners’ experiences, seniority, backgrounds, and competence levels in a multicultural learning environment.</p><h3>Methods</h3><p dir="ltr">A working group (N=18) including doctors, nurses, researchers, educators, and patients collaboratively co-designed the RLC model through theoretical-driven and conceptual analysis processes. Testing the model’s reliability and validity using a mixed method approach incorporating: a self-reported questionnaire, direct observations, and focus groups.</p><h3>Results</h3><p dir="ltr">The new model was successfully established incorporating a process pathway and guided scripts (Table 1). The face and content validity of the model were tested and confirmed. The data collection of the reliability measures is ongoing.</p><h3>Conclusion</h3><p dir="ltr">Post-simulation RLC is a form of simulation debriefing, however, it is important to consider the impact of group-based interprofessional RLC on clinical reasoning and judgment, critical thinking skills, and self-efficacy levels with minimal risk of cognitive overload.</p>2024-05-26T10:12:01ZTextConference contributioninfo:eu-repo/semantics/publishedVersiontextconference object10.57945/manara.25709325.v1https://figshare.com/articles/conference_contribution/Post-Simulation_Reflective_Learning_Conversations_Model_for_Interprofessional_Education_Toward_Clinical_Reasoning_and_Judgment_Skills_Critical_Thinking_and_Self-Efficacy_Optimization/25709325CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257093252024-05-26T10:12:01Z |
| spellingShingle | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization Emad Almomani (18466428) Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Reflective Learning Conversations Debriefing Interprofessional education Simulation-based education Clinical reasoning Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |
| status_str | publishedVersion |
| title | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| title_full | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| title_fullStr | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| title_full_unstemmed | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| title_short | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| title_sort | Post-Simulation Reflective Learning Conversations Model for Interprofessional Education: Toward Clinical Reasoning and Judgment Skills, Critical Thinking, and Self-Efficacy Optimization |
| topic | Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Reflective Learning Conversations Debriefing Interprofessional education Simulation-based education Clinical reasoning Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |