Evidence map›Paper›PMID 36749626›Full record

ArticleJMIR medical education2023

Personalized Precision Medicine for Health Care Professionals: Development of a Competency Framework.

Fernando Martin-Sanchez, Martín Lázaro, Carlos López-Otín, Antoni L Andreu, Juan Cruz Cigudosa, Milagros Garcia-Barbero

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JMIR medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 22 citations in OpenAlex.

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  8. The growing need to integrate digital mental health into psychiatric and medical education.European psychiatry : the journal of the Association of European Psychiatrists · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 2 countries.

Fernando Martin-Sanchez *Department of Biomedical Informatics and Digital Health, National Institute of Health Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-7312-5707
Martín LázaroDepartment of Medical Oncology, University Hospital Complex of Vigo, Vigo, Spain.ORCID https://orcid.org/0000-0002-0657-4713
Carlos López-OtínDepartment of Biochemistry, University of Oviedo, Oviedo, Spain.ORCID https://orcid.org/0000-0001-6964-1904
Antoni L AndreuEuropean Infrastructure for Translational Medicine, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-3936-3234
Juan Cruz CigudosaDepartment of University, Innovation and Digital Transformation, the Government of Navarra, Navarra, Spain.ORCID https://orcid.org/0000-0002-5100-4568
Milagros Garcia-BarberoFaculty of Medicine, Miguel Hernández University, Alicante, Spain.ORCID https://orcid.org/0000-0002-2317-6637
Center for Translational Molecular Medicine · NLGovernment of Spain · ESInstituto de Salud Carlos III · ESUniversidad de Oviedo · ESUniversitat de Miguel Hernández d'Elx · ESUniversity Hospital Complex Of Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalized precision medicine represents a paradigm shift and a new reality for the health care system in Spain, with training being fundamental for its full implementation and application in clinical practice. In this sense, health care professionals face educational challenges related to the acquisition of competencies to perform their professional practice optimally and efficiently in this new environment. The definition of competencies for health care professionals provides a clear guide on the level of knowledge, skills, and attitudes required to adequately carry out their professional practice. In this context, this acquisition of competencies by health care professionals can be defined as a dynamic and longitudinal process by which they use knowledge, skills, attitudes, and good judgment associated with their profession to develop it effectively in all situations corresponding to their field of practice.

objectiveThis report aims to define a proposal of essential knowledge domains and common competencies for all health care professionals, which are necessary to optimally develop their professional practice within the field of personalized precision medicine as a fundamental part of the medicine of the future.

methodsBased on a benchmark analysis and the input and expertise provided by a multidisciplinary group of experts through interviews and workshops, a new competency framework that would guarantee the optimal performance of health care professionals was defined. As a basis for the development of this report, the most relevant national and international competency frameworks and training programs were analyzed to identify aspects that are having an impact on the application of personalized precision medicine and will be considered when developing professional competencies in the future.

resultsThis report defines a framework made up of 58 competencies structured into 5 essential domains: determinants of health, biomedical informatics, practical applications, participatory health, and bioethics, along with a cross-cutting domain that impacts the overall performance of the competencies linked to each of the above domains. Likewise, 6 professional profiles to which this proposal of a competency framework is addressed were identified according to the area where they carry out their professional activity: health care, laboratory, digital health, community health, research, and management and planning. In addition, a classification is proposed by progressive levels of training that would be advisable to acquire for each competency according to the professional profile.

conclusionsThis competency framework characterizes the knowledge, skills, and attitudes required by health care professionals for the practice of personalized precision medicine. Additionally, a classification by progressive levels of training is proposed for the 6 professional profiles identified according to their professional roles.

Indexed as

bioethicscommunicationdeterminants of healthdigital healthdigitalizationdomainspersonalized precision medicineprofessional competence

Identifiers

PMID36749626
PMCPMC9943053
OpenAlexW4319334024

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.