Evidence map›Paper›PMID 32130153›Full record

ArticleJMIR mHealth and uHealth2020

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

Donald Hilty, Steven Chan, John Torous, John Luo, Robert Boland

Abstract readScoping Review
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

  1. Evaluation of the effectiveness of the FOCUS ADHD App in monitoring adults with attention-deficit/hyperactivity disorder.European psychiatry : the journal of the Association of European Psychiatrists · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Donald Hilty *VA Northern California Health Care System, Mental Health & Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, Mather, CA, United States.ORCID 0000-0002-8861-3615
Steven ChanPalo Alto VA Health Care System, Palo Alto, CA, United States.ORCID 0000-0002-1696-3122
John TorousBeth Israel Deaconess Medical Center, Psychiatry, Harvard School of Medicine, Boston, MA, United States.ORCID 0000-0002-5362-7937
John LuoConsultation-Liaison & Emergency Psychiatry, UC Irvine Department of Psychiatry, UCI Health, Irvine, CA, United States.ORCID 0000-0001-8327-4573
Robert BolandHarvard Longwood Psychiatry Residency Training Program, Brigham and Women's/Faulkner Hospitals, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-2166-2332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

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

methodsA 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.

resultsFrom 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.

conclusionsResearch 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.

Indexed as

Mobile ApplicationsPsychiatryTelemedicineClinical CompetenceDelivery of Health CareHumansTechnologyappsbehaviorcompetencyeducationframeworkhealthmobilemobile phoneoutcometechnology

Identifiers

PMID32130153
PMCPMC7060500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.