Telesimulation and Behavioral Health
1 other identifier
interventional
43
1 country
1
Brief Summary
This study proposes to assess attitudes, perceived proficiency, and knowledge related to telemedicine by implementing telesimulation behavioral health scenarios in a cohort of healthcare students using the Contextual Interview Observation Form.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2017
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 30, 2017
CompletedFirst Submitted
Initial submission to the registry
August 24, 2018
CompletedFirst Posted
Study publicly available on registry
September 7, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
September 23, 2020
CompletedMarch 16, 2022
March 1, 2022
1.6 years
August 24, 2018
March 15, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Changes in Self-Efficacy in Patient Centeredness Questionnaire (SEPCQ27) 27-item
The SEPCQ is designed to measure confidence levels at delivering patient-centered care (A 7-point Likert scale was used with "0" (to a very low degree) and "6" (To a very high degree)
Baseline and approximately 2-hours after baseline
Study Arms (2)
Face-to-Face
ACTIVE COMPARATORFace-to-Face Group: At the beginning of the session self-efficacy will be measured. This group will receive an instructor-led 45 minute long lecture on how to evaluate work, love, and play behavioral health form on a standardized patient. A face-to- face standardized patient scenario will test the participant on the application of work, love, and play assessment. In this scenario, the participant will meet a standardized patient in the exam room to discuss a behavioral health concern. At the end of each session (approximately 2 hours later), self-efficacy will be measured.
Robot
ACTIVE COMPARATORRobot Group: At the beginning of the session self-efficacy will be measured. This group will receive an instructor-led 45 minute long lecture on how to evaluate work, love, and play behavioral health form on a standardized patient. A robot (telesimulated) standardized patient scenario will test the participant on the application of work, love, and play assessment. In this scenario, the participant will meet a standardized patient in the exam room via a robot to discuss a behavioral health concern. At the end of each session (approximately 2 hours later), self-efficacy will be measured.
Interventions
Use of face-to-face patient interview using contextual interview format.
Eligibility Criteria
You may qualify if:
- Any enrolled student at a participating program in the Yakima Valley Interprofessional Collaborative
- Age 18-33 (focusing on the Millennial Generation)
You may not qualify if:
- Able to read, write, and speak English due to the pilot nature of the study
- Have no pending litigation with any education entity within the YVIPEC
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Pacific Northwest University of Health Sciences
Yakima, Washington, 98901, United States
Related Publications (7)
Accreditation Council for Graduate Medical Education (ACGME). (2014, July 1). ACGME program requirements for graduate medical education in family medicine. Retrieved from http://www.acgme.org/acgmeweb/Portals/0/PFAssets/Program Requirements/120_family_medicine_07012014.pdf
BACKGROUNDSchirmer, J. M., Taylor, D., & Zylstra, R. (2008). New Set of Core Principles of Behavioral Medicine. Society of Teachers of Family Medicine.
BACKGROUNDRobinson, P. J., Gould, D. A., & Strosahl, K. D. (2010). Real behavior change in primary care: Improving patient outcomes & increasing job satisfaction. Oakland, CA: New Harbinger Publications, Inc.
BACKGROUNDMcCoy CE, Sayegh J, Alrabah R, Yarris LM. Telesimulation: An Innovative Tool for Health Professions Education. AEM Educ Train. 2017 Feb 17;1(2):132-136. doi: 10.1002/aet2.10015. eCollection 2017 Apr.
PMID: 30051023BACKGROUNDMiller, W. R., & Rollnick, S. (2002). Motivational interviewing: Preparing people for change (2nd ed.). New York, NY: The Guilford Press.
BACKGROUNDBerkman ND, Sheridan SL, Donahue KE, Halpern DJ, Crotty K. Low health literacy and health outcomes: an updated systematic review. Ann Intern Med. 2011 Jul 19;155(2):97-107. doi: 10.7326/0003-4819-155-2-201107190-00005.
PMID: 21768583BACKGROUNDRosasco J, Hanson Z, Kramer J, Steele L, Beachy B, Gothard MD, Ahmed R, McCarroll ML. A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education. Telemed J E Health. 2021 Jul;27(7):755-762. doi: 10.1089/tmj.2020.0245. Epub 2020 Oct 21.
PMID: 33090088DERIVED
Study Officials
- PRINCIPAL INVESTIGATOR
Lisa Munoz, MPH
Pacific Northwest University of Health Sciences
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 24, 2018
First Posted
September 7, 2018
Study Start
November 30, 2017
Primary Completion
June 30, 2019
Study Completion
September 23, 2020
Last Updated
March 16, 2022
Record last verified: 2022-03
Data Sharing
- IPD Sharing
- Will not share