Evidence map›Paper›PMID 33151152›Full record

ArticleJournal of medical Internet research2020

A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks.

Nuraini Nazeha, Deepali Pavagadhi, Bhone Myint Kyaw, Josip Car, Geronimo Jimenez, Lorainne Tudor Car

Registry-linked trialAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06356961 (Routine Outcome Monitoring and Feedback Informed Therapy in Italy), which is not on this map. Cited by 99 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 7 pooled it
–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.

NCT06356961 narecruitingnot on this mapstarted 2025, after this paper: background citation

Routine Outcome Monitoring and Feedback Informed Therapy in Italy: 1st Italian RCT Large Population Study (PRIN - Italian Minister of Universities and Research Project)

TypeinterventionalSponsorUniversity of BergamoRan2025 to 2025Enrolled180ConditionsFeedback, PsychologicalArms(Feedback Informed Therapy) with Clinical Support Tools and ah hoc training, Feedback and ROM (basic)
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  16. AI Competency: Current State and Challenges.JMIR medical education · 2026
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39 more citing papers are in PubMed but not listed here.

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

6 authors.

Nuraini NazehaCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1935-5499
Deepali PavagadhiCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-4337-8137
Bhone Myint KyawCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1750-0330
Josip CarCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-8969-371X
Geronimo JimenezCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1304-426X
Lorainne Tudor CarDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-8414-7664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health technologies can be key to improving health outcomes, provided health care workers are adequately trained to use these technologies. There have been efforts to identify digital competencies for different health care worker groups; however, an overview of these efforts has yet to be consolidated and analyzed.

objectiveThe review aims to identify and study existing digital health competency frameworks for health care workers and provide recommendations for future digital health training initiatives and framework development.

methodsA literature search was performed to collate digital health competency frameworks published from 2000. A total of 6 databases including gray literature sources such as OpenGrey, ResearchGate, Google Scholar, Google, and websites of relevant associations were searched in November 2019. Screening and data extraction were performed in parallel by the reviewers. The included evidence is narratively described in terms of characteristics, evolution, and structural composition of frameworks. A thematic analysis was also performed to identify common themes across the included frameworks.

resultsIn total, 30 frameworks were included in this review, a majority of which aimed at nurses, originated from high-income countries, were published since 2016, and were developed via literature reviews, followed by expert consultations. The thematic analysis uncovered 28 digital health competency domains across the included frameworks. The most prevalent domains pertained to basic information technology literacy, health information management, digital communication, ethical, legal, or regulatory requirements, and data privacy and security. The Health Information Technology Competencies framework was found to be the most comprehensive framework, as it presented 21 out of the 28 identified domains, had the highest number of competencies, and targeted a wide variety of health care workers.

conclusionsDigital health training initiatives should focus on competencies relevant to a particular health care worker group, role, level of seniority, and setting. The findings from this review can inform and guide digital health training initiatives. The most prevalent competency domains identified represent essential interprofessional competencies to be incorporated into health care workers' training. Digital health frameworks should be regularly updated with novel digital health technologies, be applicable to low- and middle-income countries, and include overlooked health care worker groups such as allied health professionals.

Indexed as

Clinical CompetenceCurriculumHealth PersonnelHealth WorkforceHumanscompetencydigital competencydigital healtheHealthframeworkhealth professions educationmedical educationreview

Identifiers

PMID33151152
PMCPMC7677019

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.