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Challenges for Designing Simulation Research KIM LEIGHTON, PHD, RN, ANEF DEVRY MEDICAL INTERNATIONAL’S INSTITUTE FOR RESEARCH & CLINICAL STRATEGY
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Disclosures The presenter has no disclosures Acknowledge Dr. Mary Ann Cantrell, Dr. Ashley Franklin, and Dr. Gregory Gilbert with whom I have previously presented and published variations of this material HPSN 2016
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Learning Objectives The participants will be able to: 1.Identify the state-of-the science in simulation-based research and the required rigor of future studies to advance the science base in this area of research. 2.Describe the purpose and function of a theoretical framework when designing a research study. 3.Outline common pitfalls related to simulation-based research and strategies to overcome them. HPSN 2016
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Background National Council of State Boards of Nursing (NCSBN) study Predict increased integration of simulation across nursing curriculum Further development and evaluation of simulation needed Need for simulation-based research to advance the science—all levels of learners HPSN 2016
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State of the Science Need robust, complex intervention studies Skill development and transfer from simulation to actual patient care settings Many academic educators and staff development educators are unprepared for rigor of design and implementation of simulation-based research Beyond standard research textbooks HPSN 2016
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Five Common Challenges Theoretical framework throughout study design Intervention fidelity Reliable and valid instrument use Sample size and power analysis Ethical integrity of research process HPSN 2016
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Theoretical Framework A set of interrelated concepts that symbolically represent and convey a mental image of a phenomenon (Alligood, 2013). HPSN 2016
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Theoretical Framework or Conceptual Framework? HPSN 2016 INACSL State of the Science Project
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Theoretical Frameworks in Research Existing theory –Quantitative Good literature review Outside of healthcare Look in education and psychology literature Create theory –Qualitative E.g. Grounded theory HPSN 2016
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Common Frameworks for Simulation Research Kolb’s Experiential Learning Theory Concrete experience, reflective observation, abstract conceptualization, active experimentation Piaget’s Constructivist Theory New knowledge builds on past experiences and knowledge Deliberate Practice/Mastery Learning 10,000 hours/times NLN/Jeffries Simulation Theory Learning & facilitator, Educational practices, Design characteristics/Simulation, Outcomes Benner’s Novice-to-Expert Cognitive Load Theory HPSN 2016
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Developing the Conceptual Basis of a Study An Idea for a Study is Identified The Research Team Brainstorms about the Problem’s Dimensions A Literature Review is Conducted Concepts are Identified from Research Findings A Theoretical Framework that describes the Relationships among these Variables is Chosen Research Questions (based on the Theoretical Framework) are developed HPSN 2016
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Intervention Fidelity Degree to which an intervention is implemented as originally designed In simulation-based research intervention fidelity is maintained by: Have a specific, written, detailed protocol Clear role delineation of research team members Validation of a scenario by content experts; pilot tested with participants similar to the target population Detailed script and cues for each person enacting a scenario Consistent use of props in a scenario Conduct dry run of scenarios HPSN 2016
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Validity HPSN 2016
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Measurement Issues: Instruments Should use valid and reliable instruments Tested with similar population as your study Measuring performance in simulation Interrater reliability > 80% —checklists, rubrics Tool development Psychometric analysis Statistician consultant Fully describe in manuscript HPSN 2016
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Measurement Instruments: Experience The Simulation Effectiveness Tool - Modified (SET-M) Prebriefing, Confidence, Learning, Debriefing The Creighton Competency Evaluation Instrument (C-CEI ™ ) Assessment, Communication, Critical Thinking, and Technical Skills The Sweeney-Clark Simulation Performance Evaluation Tool Assessment, History Taking, Patient Teaching, Lab/Dx, Nursing Interventions, Clinical Judgment, Communication & Safety The Lasater Clinical Judgment Rubric (LCJR © ) Noticing, Interpreting, Responding, Reflecting The Clinical Simulation Evaluation Tool (CSET) Safety, Assessments & Critical Thinking, Problem Identification & Critical Thinking, Interventions, Evaluations & Critical Thinking, Other Critical Thinking & Processing Components HPSN 2016
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Other Types of Instruments The Clinical Learning Environment Comparison Survey (CLECS) Teaching-Learning Dyad, Holism, Communication, Nursing Process, Self- Efficacy, Critical Thinking Indiana University Simulation Integration Rubric (IUSIR) (interprofessional communication); DASH (debriefing) HPSN 2016
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Sample Size Determined before you start a study “Larger is better” principle? Statistical approach Population size (unknown) Margin of error (confidence interval = +/- 5%) Confidence level (95%) Standard deviation (0.5) Calculation of sample size (Z score for CL) 2 x (SD)(1-SD) (margin of error) 2 HPSN 2016
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Power Analysis Determines if sample size could be too small or large What sample size is needed to detect an effect of a given size with a given degree of confidence 1.Sample size 2.Effect size: impact of the intervention on the variable 3.Significance level: P(Type I error) = 0.05, 0.01, or 0.001 4.Power: 1 – P(Type II error) = 0.8 Need to know three of these to determine the fourth Engage a statistical consultant! HPSN 2016
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Ethical Integrity Must have Institutional Review Board (IRB) approval to publish research findings Simulation specific ethical concerns Learning or evaluation Students need to know purpose Video use Confidentiality—in sim vs protecting research protocol Research misconduct Misuse of data Failure to declare conflict of interest Plagiarism, falsification, fabrication HPSN 2016
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Take Aways Theoretical foundation is the basis for all decision-making when designing research study Valid and reliable instruments must be used Sample size and power analysis are determined BEFORE data collection begins IRB must approve study if it is to be published Use a statistician! HPSN 2016
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Questions? Kim Leighton 402-617-1401 kleighton@devry.edu HPSN 2016
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