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dc.contributor.authorDarnell, Doyanne
dc.contributor.authorAreán, Patricia A
dc.contributor.authorDorsey, Shannon
dc.contributor.authorAtkins, David C
dc.contributor.authorTanana, Michael J
dc.contributor.authorHirsch, Tad
dc.contributor.authorMooney, Sean D
dc.contributor.authorBoudreaux, Edwin D
dc.contributor.authorComtois, Katherine Anne
dc.date.accessioned2022-12-16T16:28:03Z
dc.date.available2022-12-16T16:28:03Z
dc.date.issued2021-12-15
dc.identifier.citationDarnell D, Areán PA, Dorsey S, Atkins DC, Tanana MJ, Hirsch T, Mooney SD, Boudreaux ED, Comtois KA. Harnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospitalized Patients: Protocol for Formative and Pilot Feasibility Research. JMIR Res Protoc. 2021 Dec 15;10(12):e33695. doi: 10.2196/33695. PMID: 34914618; PMCID: PMC8717131.en_US
dc.identifier.issn1929-0748
dc.identifier.doi10.2196/33695en_US
dc.identifier.pmid34914618
dc.identifier.urihttp://hdl.handle.net/20.500.14038/51474
dc.description.abstractBackground: Suicide is the 10th leading cause of death in the United States, with >47,000 deaths in 2019. Most people who died by suicide had contact with the health care system in the year before their death. Health care provider training is a top research priority identified by the National Action Alliance for Suicide Prevention; however, evidence-based approaches that target skill-building are resource intensive and difficult to implement. Advances in artificial intelligence technology hold promise for improving the scalability and sustainability of training methods, as it is now possible for computers to assess the intervention delivery skills of trainees and provide feedback to guide skill improvements. Much remains to be known about how best to integrate these novel technologies into continuing education for health care providers. Objective: In Project WISE (Workplace Integrated Support and Education), we aim to develop e-learning training in suicide safety planning, enhanced with novel skill-building technologies that can be integrated into the routine workflow of nurses serving patients hospitalized for medical or surgical reasons or traumatic injury. The research aims include identifying strategies for the implementation and workflow integration of both the training and safety planning with patients, adapting 2 existing technologies to enhance general counseling skills for use in suicide safety planning (a conversational agent and an artificial intelligence-based feedback system), observing training acceptability and nurse engagement with the training components, and assessing the feasibility of recruitment, retention, and collection of longitudinal self-report and electronic health record data for patients identified as at risk of suicide. Methods: Our developmental research includes qualitative and observational methods to explore the implementation context and technology usability, formative evaluation of the training paradigm, and pilot research to assess the feasibility of conducting a future cluster randomized pragmatic trial. The trial will examine whether patients hospitalized for medical or surgical reasons or traumatic injury who are at risk of suicide have better suicide-related postdischarge outcomes when admitted to a unit with nurses trained using the skill-building technology than those admitted to a unit with untrained nurses. The research takes place at a level 1 trauma center, which is also a safety-net hospital and academic medical center. Results: Project WISE was funded in July 2019. As of September 2021, we have completed focus groups and usability testing with 27 acute care and 3 acute and intensive care nurses. We began data collection for research aims 3 and 4 in November 2021. All research has been approved by the University of Washington institutional review board. Conclusions: Project WISE aims to further the national agenda to improve suicide prevention in health care settings by training nurses in suicide prevention with medically hospitalized patients using novel e-learning technologies. International registered report identifier (irrid): DERR1-10.2196/33695.en_US
dc.language.isoenen_US
dc.relation.ispartofJMIR Research Protocolsen_US
dc.relation.urlhttps://doi.org/10.2196/33695en_US
dc.rights©Doyanne Darnell, Patricia A Areán, Shannon Dorsey, David C Atkins, Michael J Tanana, Tad Hirsch, Sean D Mooney, Edwin D Boudreaux, Katherine Anne Comtois. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 15.12.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectartificial intelligenceen_US
dc.subjecte-learningen_US
dc.subjectfidelityen_US
dc.subjecthospitalen_US
dc.subjectimplementation scienceen_US
dc.subjectquality assessmenten_US
dc.subjectsuicide preventionen_US
dc.subjecttask-shiftingen_US
dc.subjecttrainingen_US
dc.subjectuser-centered designen_US
dc.titleHarnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospitalized Patients: Protocol for Formative and Pilot Feasibility Researchen_US
dc.typeJournal Articleen_US
dc.source.journaltitleJMIR research protocols
dc.source.volume10
dc.source.issue12
dc.source.beginpagee33695
dc.source.endpage
dc.source.countryUnited States
dc.source.countryCanada
dc.identifier.journalJMIR research protocols
refterms.dateFOA2022-12-16T16:28:03Z
dc.contributor.departmentEmergency Medicineen_US


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©Doyanne Darnell, Patricia A Areán, Shannon Dorsey, David C Atkins, Michael J Tanana, Tad Hirsch, Sean D Mooney, Edwin
D Boudreaux, Katherine Anne Comtois. Originally published in JMIR Research Protocols (https://www.researchprotocols.org),
15.12.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information,
a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be
included.
Except where otherwise noted, this item's license is described as ©Doyanne Darnell, Patricia A Areán, Shannon Dorsey, David C Atkins, Michael J Tanana, Tad Hirsch, Sean D Mooney, Edwin D Boudreaux, Katherine Anne Comtois. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 15.12.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.