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 |
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creator | Rosasco, John Hanson, Zachary Kramer, James Steele, Lisa Beachy, Bridget Gothard, M. David Ahmed, Rami McCarroll, Michele L. |
description | 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. |
doi_str_mv | 10.1089/tmj.2020.0245 |
format | Article |
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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.</description><identifier>ISSN: 1530-5627</identifier><identifier>EISSN: 1556-3669</identifier><identifier>DOI: 10.1089/tmj.2020.0245</identifier><language>eng</language><publisher>Mary Ann Liebert, Inc., publishers</publisher><subject>Original Research</subject><ispartof>Telemedicine journal and e-health, 2021-07, Vol.27 (7), p.755-762</ispartof><rights>2021, Mary Ann Liebert, Inc., publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c314t-4db5daf797c8be55c490a819660d500a75f13f7213cc4b30841ec6c1c71908253</citedby><cites>FETCH-LOGICAL-c314t-4db5daf797c8be55c490a819660d500a75f13f7213cc4b30841ec6c1c71908253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Rosasco, John</creatorcontrib><creatorcontrib>Hanson, Zachary</creatorcontrib><creatorcontrib>Kramer, James</creatorcontrib><creatorcontrib>Steele, Lisa</creatorcontrib><creatorcontrib>Beachy, Bridget</creatorcontrib><creatorcontrib>Gothard, M. David</creatorcontrib><creatorcontrib>Ahmed, Rami</creatorcontrib><creatorcontrib>McCarroll, Michele L.</creatorcontrib><title>A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education</title><title>Telemedicine journal and e-health</title><description>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.</description><subject>Original Research</subject><issn>1530-5627</issn><issn>1556-3669</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EEqUwsntkSbHjOB9jqQqthAQq7Ww5zoW6SuxiO0jl1-Oo7Ex30j3vq9OD0D0lM0rK6jH0h1lKUjIjacYv0IRynicsz6vLcWck4XlaXKMb7w-EkIwW6QSZOd5I09he_0CDP8LQnPDOa_OJt9DB0YEHowBvbG2Dx611-An28ltbJzu8AtmFPdYGr00Ad3S2Be-1NfH27qQKOkZjO142g5IhHm7RVSs7D3d_c4p2z8vtYpW8vr2sF_PXRDGahSRrat7ItqgKVdbAucoqIkta5TlpOCGy4C1lbZFSplRWM1JmFFSuqCpoRcqUsyl6OPfGn74G8EH02ivoOmnADl5EQSwvecVpRJMzqpz13kErjk730p0EJWL0KqJXMXoVo9fIszM_MtKYTkMNLvyT-gWiR31v</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Rosasco, John</creator><creator>Hanson, Zachary</creator><creator>Kramer, James</creator><creator>Steele, Lisa</creator><creator>Beachy, Bridget</creator><creator>Gothard, M. David</creator><creator>Ahmed, Rami</creator><creator>McCarroll, Michele L.</creator><general>Mary Ann Liebert, Inc., publishers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20210701</creationdate><title>A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education</title><author>Rosasco, John ; Hanson, Zachary ; Kramer, James ; Steele, Lisa ; Beachy, Bridget ; Gothard, M. David ; Ahmed, Rami ; McCarroll, Michele L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-4db5daf797c8be55c490a819660d500a75f13f7213cc4b30841ec6c1c71908253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Original Research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rosasco, John</creatorcontrib><creatorcontrib>Hanson, Zachary</creatorcontrib><creatorcontrib>Kramer, James</creatorcontrib><creatorcontrib>Steele, Lisa</creatorcontrib><creatorcontrib>Beachy, Bridget</creatorcontrib><creatorcontrib>Gothard, M. David</creatorcontrib><creatorcontrib>Ahmed, Rami</creatorcontrib><creatorcontrib>McCarroll, Michele L.</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Telemedicine journal and e-health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rosasco, John</au><au>Hanson, Zachary</au><au>Kramer, James</au><au>Steele, Lisa</au><au>Beachy, Bridget</au><au>Gothard, M. David</au><au>Ahmed, Rami</au><au>McCarroll, Michele L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education</atitle><jtitle>Telemedicine journal and e-health</jtitle><date>2021-07-01</date><risdate>2021</risdate><volume>27</volume><issue>7</issue><spage>755</spage><epage>762</epage><pages>755-762</pages><issn>1530-5627</issn><eissn>1556-3669</eissn><abstract>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.</abstract><pub>Mary Ann Liebert, Inc., publishers</pub><doi>10.1089/tmj.2020.0245</doi><tpages>8</tpages></addata></record> |
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source | Alma/SFX Local Collection |
subjects | Original Research |
title | A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education |
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