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      A Framework for Competencies for the Use of Mobile Technologies in Psychiatry and Medicine: Scoping Review

      research-article
      , MBA, MD 1 , , , MBA, MD 2 , , MD 3 , , MD 4 , , MD 5
      (Reviewer), (Reviewer), (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      apps, behavior, education, mobile, outcome, competency, technology, health, mobile phone, framework

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          Abstract

          Background

          To ensure quality care, clinicians need skills, knowledge, and attitudes related to technology that can be measured.

          Objective

          This paper sought out competencies for mobile technologies and/or an approach to define them.

          Methods

          A scoping review was conducted to answer the following research question, “What skills are needed for clinicians and trainees to provide quality care via mHealth, have they been published, and how can they be made measurable and reproducible to teach and assess them?” The review was conducted in accordance with the 6-stage scoping review process starting with a keyword search in PubMed/Medical Literature Analysis and Retrieval System Online, APA PsycNET, Cochrane, EMBASE, PsycINFO, Web of Science, and Scopus. The literature search focused on keywords in 4 concept areas: (1) competencies, (2) mobile technologies, (3) telemedicine mode, and (4) health. Moreover, 2 authors independently, in parallel, screened the search results for potentially relevant studies based on titles and abstracts. The authors reviewed the full-text articles for final inclusion based on inclusion/exclusion criteria. Inclusion criteria were keywords used from concept area 1 (competencies) and 2 (mobile technologies) and either 3 (telemedicine mode) or 4 (health). Exclusion criteria included, but were not limited to, keywords used from a concept area in isolation, discussion of skills abstractly, outline or listing of what clinicians need without detail, and listing immeasurable behaviors.

          Results

          From a total of 1232 results, the authors found 78 papers eligible for a full-text review and found 14 papers directly relevant to the 4 key concepts. Although few studies specifically discussed skills, the majority were clinical studies, and the literature included no lists of measurable behaviors or competency sets for mobile technology. Therefore, a framework for mobile technology competencies was built according to the review, expert consensus, and recommendations of the Institute of Medicine’s Health Professions Education Summit and Accreditation Council of Graduate Medical Education framework. This framework borrows from existing competency framework domains in telepsychiatry and social media (patient care, medical knowledge, practice-based learning and improvement, systems-based practice, professionalism, and interpersonal skills and communication) and added domains of mHealth clinical decision support, device/technology assessment/selection, and information flow management across an electronic health record platform. mHealth Asynchronous components require additional traditional learning, teaching, supervisory and evaluation practices. Interactive curricula with case-, problem-, and system-based teaching may help faculty focus on decision making and shape skills and attitudes to complement clinical exposure.

          Conclusions

          Research is needed on how to customize implementation and evaluation of mHealth competencies and to ensure skill development is linked to the quality of care. This will require the management of organizational change with technology and the creation of a positive electronic culture in a complex policy and regulatory environment.

          Related collections

          Most cited references44

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          mHealth for mental health: Integrating smartphone technology in behavioral healthcare.

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            Competency-based medical education in postgraduate medical education.

            With the introduction of Tomorrow's Doctors in 1993, medical education began the transition from a time- and process-based system to a competency-based training framework. Implementing competency-based training in postgraduate medical education poses many challenges but ultimately requires a demonstration that the learner is truly competent to progress in training or to the next phase of a professional career. Making this transition requires change at virtually all levels of postgraduate training. Key components of this change include the development of valid and reliable assessment tools such as work-based assessment using direct observation, frequent formative feedback, and learner self-directed assessment; active involvement of the learner in the educational process; and intensive faculty development that addresses curricular design and the assessment of competency.
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              A roadmap for national action on clinical decision support.

              This document comprises an AMIA Board of Directors approved White Paper that presents a roadmap for national action on clinical decision support. It is published in JAMIA for archival and dissemination purposes. The full text of this material has been previously published on the AMIA Web site (www.amia.org/inside/initiatives/cds). AMIA is the copyright holder.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                February 2020
                21 February 2020
                : 8
                : 2
                : e12229
                Affiliations
                [1 ] VA Northern California Health Care System Mental Health & Department of Psychiatry and Behavioral Sciences UC Davis School of Medicine Mather, CA United States
                [2 ] Palo Alto VA Health Care System Palo Alto, CA United States
                [3 ] Beth Israel Deaconess Medical Center Psychiatry Harvard School of Medicine Boston, MA United States
                [4 ] Consultation-Liaison & Emergency Psychiatry UC Irvine Department of Psychiatry UCI Health Irvine, CA United States
                [5 ] Harvard Longwood Psychiatry Residency Training Program Brigham and Women's/Faulkner Hospitals Harvard Medical School Boston, MA United States
                Author notes
                Corresponding Author: Donald M Hilty donh032612@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-8861-3615
                https://orcid.org/0000-0002-1696-3122
                https://orcid.org/0000-0002-5362-7937
                https://orcid.org/0000-0001-8327-4573
                https://orcid.org/0000-0002-2166-2332
                Article
                v8i2e12229
                10.2196/12229
                7060500
                32130153
                c7e5d956-7392-48b8-8cd2-4b2adf5c48ac
                ©Donald M. Hilty, Steven Chan, John Torous, John Luo, Robert Boland. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 21.02.2020.

                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 mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 16 September 2018
                : 17 November 2018
                : 26 March 2019
                : 29 May 2019
                Categories
                Review
                Review

                apps,behavior,education,mobile,outcome,competency,technology,health,mobile phone,framework

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