A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education

Background: The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedicine frameworks to comply with isolation and stay-at-home regulations. Telemedicine, in various forms, has been used by patients and medical professionals for quite some time, especially tele...

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Veröffentlicht in:Telemedicine journal and e-health 2021-07, Vol.27 (7), p.755-762
Hauptverfasser: Rosasco, John, Hanson, Zachary, Kramer, James, Steele, Lisa, Beachy, Bridget, Gothard, M. David, Ahmed, Rami, McCarroll, Michele L.
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Sprache:eng
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Zusammenfassung:Background: The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedicine frameworks to comply with isolation and stay-at-home regulations. Telemedicine, in various forms, has been used by patients and medical professionals for quite some time, especially telepsychiatry. To examine the efficacy and role of telesimulation as a method to educate health sciences students via telepresence robots. The study recruited students from the above health science disciplines. All participants were trained to administer a contextual interview to a standardized patient (SP) for mental health concerns. Methods: The completion of the contextual interview observation form adult (CIOF-A), National Aeronautics and Space Administration Task Load Index, self-efficacy in patient centeredness questionnaire (SEPCQ), and communication skills attitude scale with or without a telepresence robot. All participants completed baseline metrics and were trained to conduct a contextual interview to an SP. Researchers block-randomized the participants to either the telepresence robot group (TP) or in-person (IP) group. Results: The study recruited n  = 43 participants to the IP group ( n  = 21) or TP group ( n  = 22). Mean participant demographics of age were 25.3 (±1.9) years in the IP group and 24.3 (±2.1) years for the TP group. Mean and standard deviation scores with effect sizes in CIOF-A scores IP: 0.05 (±1.91) and TP: −0.45 (±1.71), Cohen's d  = 0.28; SEPCQ—Patient Domain scores IP: 0.42 (±4.69) and TP: 0.50 (±7.18), Cohen's d  = 0.01; change in SEPCQ—Sharing Domain scores IP: 0.53 (±5.10) and TP: 0.91 (±9.98), Cohen's d  = 0.05. These effect sizes will inform future studies and appropriate sample sizes. Conclusion: These data indicate that health sciences students utilizing a telepresence robot in an SP scenario to perform a behavioral health screening felt as comfortable and competent as those health sciences students performing the same behavioral health screening in person. ClinicalTrials.gov Identifier: NCT03661372.
ISSN:1530-5627
1556-3669
DOI:10.1089/tmj.2020.0245