Identifying Key Competencies for Ambulance Nurses in Italy: Findings from a Modified Delphi Study DOI
Ippolito Notarnicola,

Rocco Gennaro,

Sara Carrodano

et al.

Journal of Emergency Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Digital Training for Nurses and Midwives to Improve Treatment for Women with Postpartum Depression and Protect Neonates: A Dynamic Bibliometric Review Analysis DOI Open Access
Maria Tzitiridou‐Chatzopoulou, Eirini Orovou, Γεωργία Ζουρνατζίδου

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(10), P. 1015 - 1015

Published: May 14, 2024

The high prevalence of postpartum depression makes it necessary for midwives and nurses to implement prenatal interventions expectant mothers. current study aims investigate highlight the importance digital training in order help women mitigate symptoms protect infants. To approach this, we conducted a bibliometric analysis address study's main objective. Articles were retrieved from Scopus database timeframe 2000-2023. Data was using statistical programming language R (version R-4.4.) software VOSviewer 1.6.20) Biblioshiny 4.1.4), focused on year, journal, country. For this investigation, selected total 31 MeSH keywords sub-headings that exhibited significant frequencies. We consistently used six clusters keywords. obtained 585 articles major contributors field PPD, as evidenced by their extensive publication research influential role domain. studies included thorough research, use scales diagnosing screening psychological related exploration causes, mechanisms, outcomes, genetic factors. Our results demonstrate steady increase availability information PPD. Importantly, novelty lies highlighting need transition ways which are trained disease integrating emerging technologies into practices. knowledge provided here has potential serve foundation future advancements obstetric psychology, both presently future.

Language: Английский

Citations

13

Factors influencing digital health competence among healthcare professionals: A cross-sectional study DOI Creative Commons
Goran Erfani, Jemma McCready,

Beckie Gibson

et al.

Applied Nursing Research, Journal Year: 2025, Volume and Issue: 82, P. 151922 - 151922

Published: Feb. 8, 2025

Improving healthcare professionals' digital health competence is critical to providing safer care. However, there still a lack of empirical studies exploring the factors influencing competence, even though significant investments have been made advance digitalisation globally. This study aimed identify key characteristics competence. Cross-sectional data was collected from 252 professionals using two instruments measuring competences and associated educational organisational in 2024 via an online paper-based survey. Univariate binary logistic regression analyses were performed Higher levels education, working hospital, more professional experience, increased use solutions at work or during free time with higher qualifications linked greater across several factors, postgraduate degrees increasing health-related counselling undergraduate enhancing work-related attitudes evaluating solutions. Professionals university those hospital settings showed ICT while years experience ethical Digital development should prioritise lower levels. Additionally, such initiatives include supporting who non-hospital settings, less frequently their time. Professional increases Continuous interventions policies consider these improve competences.

Language: Английский

Citations

0

Beyond carrots and sticks. Exploring faculty motivation to join a digital health professions educator program DOI Creative Commons
Marwa Schumann, Martin Lehmann, Harm Peters

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: March 5, 2025

Faculty development programs in the health professions are essential addressing evolving and expanding roles of educators. These have become a cornerstone organizational contribute significantly to improving student learning. However, motivation faculty engage such is often challenged by significant demands their clinical responsibilities already busy schedules. This study aims explore teaching professionals voluntarily participate Digital Health Professions Education (d-HPE) program, 200-h certification program at Charité - Universitätsmedizin Berlin train digital skills competencies. In this qualitative study, we analyzed letters from members who volunteered d-HPE program. We used coding based on Self-Determination Theory (SDT) as framework for analysis with three main themes: autonomy, competence relatedness. Within sub-themes were intrinsic self-directed choices. Competence included mastery practices skill development. Relatedness interprofessional collaboration mentorship. A total 21 motivational two cohorts, representing diverse professional backgrounds career stages. Analysis autonomy theme revealed an shaped early experiences decision pursue advanced qualifications. The reflected need master evidence-based develop skills, COVID-19 pandemic driving factor. relatedness demonstrated importance inter-professional mentorship promoting educational innovation across disciplines institutions. educators goes beyond traditional 'carrots sticks' external rewards or punishments constellation; it rooted improve qualifications fulfill role education. Despite work schedule, active engagement intensive aligned networking

Language: Английский

Citations

0

Leveraging healthcare professionals’ insights to enhance data quality in medical big data platforms: A qualitative study DOI Creative Commons
Huang Jingjing, Sufang Huang, Xiaorong Lang

et al.

Digital Health, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 1, 2025

Objective This study aims to explore the awareness, attitudes, and actual usage of medical big data platforms among healthcare professionals provide practical guidance theoretical support for improving quality development informatization. Method Semistructured interviews were conducted with 19 doctors nurses from a tertiary hospital in Wuhan City between April June 2024. Results The analysis yielded seven major themes nine subthemes: cognitive status, Value Medical Big Data Platforms, trust (subjective data, objective data), purposes recording (patient condition observation, self-protection, task completion), challenges (conflict work requirements, inconsistent departmental training standards, influence leadership style team culture), standardization recording, concerns about privacy. Conclusion insufficient understanding affects research value, emphasizing necessity strengthening training, standardizing providing technical support, ensuring security.

Language: Английский

Citations

0

Digital Skills to Improve Levels of Care and Renew Health Care Professions DOI Creative Commons
Massimo De Martinis, Lia Ginaldi

JMIR Medical Education, Journal Year: 2024, Volume and Issue: 10, P. e58743 - e58743

Published: May 1, 2024

Language: Английский

Citations

3

Evaluating the effectiveness of two video-based educational interventions to enhance knowledge about epilepsy in preschool children DOI
Dana Brabcová, Jiřı́ Kohout, Ivana Mašková

et al.

Epilepsy & Behavior, Journal Year: 2025, Volume and Issue: 165, P. 110339 - 110339

Published: Feb. 26, 2025

Language: Английский

Citations

0

Perceived barriers and opportunities to the use of 3D printing in a healthcare system with low adoption: A semi-structured interview study DOI Creative Commons
Una M. Cronin, Niamh M. Cummins, Aidan O’Sullivan

et al.

HRB Open Research, Journal Year: 2025, Volume and Issue: 8, P. 35 - 35

Published: Feb. 26, 2025

Background The application of Three-D (3D) printing in medicine is gaining momentum. Although its use being adopted healthcare some regions, other countries have not embraced 3D widely, with relatively low adoption. It important to gain an understanding the barriers and opportunities acceptance technology adoption systems, understand why usage low, consider how support where appropriate. region chosen for study was Republic Ireland, a high-income country healthcare. Methods An interview conducted identify this system employed qualitative descriptive approach. Purposeful snowball sampling used recruit participants from diverse stakeholders working both public private systems. Semi-structured interviews were ten professionals. Audio recordings recorded verbatim using Otter AI thematic analysis performed NVivo utilising Braun Clarke framework. Respondents included doctors, nurses, occupational therapists, physiotherapists, hand therapist. Results Three main themes identified: Theme 1: Needs within health service that could be supported by printing, 2: Barriers service, 3: Opportunities Conclusions Research required on these ensure patients accessing systems are provided same receive personalised, cutting-edge care as their international counterparts who currently adopt technology.

Language: Английский

Citations

0

Learning Objectives Matrix in DIM.RUHR: A Didactic Concept for the Interprofessional Teaching of Data Literacy in Outpatient Health Care DOI Open Access

Vivian Lüdorf,

Anne Mainz, Sven Meister

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(6), P. 662 - 662

Published: March 18, 2025

(1) Background: Each year, significant volumes of healthcare data are generated through both research and care. Since fundamental digital processes cannot function effectively without essential competencies, the challenge lies in enhancing quality management by establishing literacy among professionals outpatient research. (2) Methods: Within DIM.RUHR project (Data Competence Center for Interprofessional Use Health Data Ruhr Metropolis), a didactic concept interprofessional education is developed, structured as learning objectives matrix. Initially conceived literature review, this has been continually developed collaboration with partners. The study was conducted between February 2023 June 2024. (3) Results: foundational structure content based on various scientific studies related to general outcomes an interactive workshop Eight distinct subject areas have encompass required professions: Fundamentals concepts, ethical, legal, social considerations, culture, (4) acquiring data, (5) managing (6) analyzing (7) interpreting (8) deriving actions. these, learners’ assessed across four competency areas: basic, intermediate, advanced, highly specialized. Conclusions: matrix anticipated serve solid foundation development teaching modules aimed at professions, enabling them manage while addressing challenges associated transformation.

Language: Английский

Citations

0

Adapting to crisis and unveiling the digital shift: a systematic literature review of digital competence in education related to COVID-19 DOI Creative Commons
Yu Zhao, María Cruz Sánchez Gómez, Ana María Pinto Llorente

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: March 25, 2025

Nowadays, with technology penetrating into every aspect of our life, the ways to acquire knowledge has been greatly revolutionized. The outbreak Coronavirus (COVID-19) accelerated digital informatization in education and educational model transformed substantially. demand for competence is at record high. purpose this study systematically explore different national contexts during COVID-19 pandemic (2019–2021), provide academics current state main research trends period, elucidate impact on competence, limitations implementation research. results indicate that most related focused teachers students, especially those higher formal learning context. Still, situation compounded, researchers furthered their by investigating factors influenced order address challenges a In addition, students were still not well equipped as though awareness readiness teaching process increased. It recommended promote enhance training improve students’ achievement quality education.

Language: Английский

Citations

0

Design framework to develop sustainable innovations for addressing one health challenges DOI Creative Commons
Avis Anya Nowbuth,

V R Parmar

One Health, Journal Year: 2025, Volume and Issue: unknown, P. 101031 - 101031

Published: April 1, 2025

Language: Английский

Citations

0