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Profiling Healthcare Professionals' Digital Health Competence and Associated Factors: A Cross‐Sectional Study

ABSTRACT

Aim

To assess healthcare professionals' digital health competence and its associated factors.

Design

Cross-sectional study.

Methods

The study was conducted from October 2023 to April 2024 among healthcare professionals in Italy, using convenience and snowball sampling. The questionnaire included four sections assessing: (i) socio-demographic and work-related characteristics; (ii) use of digital solutions as part of work and in free time, and communication channels to counsel clients in work; and DigiHealthCom and DigiComInf instruments including measurements of (iii) digital health competence and (iv) managerial, organisational and collegiality factors. K-means cluster analysis was employed to identify clusters of digital health competence; descriptive statistics to summarise characteristics and ANOVA and Chi-square tests to assess cluster differences.

Results

Among 301 healthcare professionals, the majority were nurses (n = 287, 95.3%). Three clusters were identified: cluster 1 showing the lowest, cluster 2 moderate and cluster 3 the highest digital health competence. Most participants (n = 193, 64.1%) belonged to cluster 3. Despite their proficiency, clusters 2 and 3 scored significantly lower on ethical competence. Least digitally competent professionals had significantly higher work experience, while the most competent reported stronger support from management, organisation, and colleagues. Communication channels for counselling clients and digital device use, both at work and during free time, were predominantly traditional technologies.

Conclusion

Educational programmes and organisational policies prioritising digital health competence development are needed to advance digital transition and equity in the healthcare workforce.

Implications for the Profession

Greater emphasis should be placed on the ethical aspects, with interventions tailored to healthcare professionals' digital health competence. Training and policies involving managers and colleagues, such as mentoring and distributed leadership, could help bridge the digital divide. Alongside traditional devices, the adoption of advanced technologies should be promoted.

Reporting Method

This study adheres to the STROBE checklist.

Patient or Public Contribution

None.

The Relationship Between Nurses' Digital Health Literacy and Their Educational Levels, Professional Roles, and Digital Attitudes: A Cluster Analysis Based on a Cross‐Sectional Study

ABSTRACT

Aim

The current study aimed to identify digital health literacy levels among nurses with respect to their education, role and attitude towards digital technologies.

Design

Cross-sectional study.

Methods

Through convenience sampling, all Registered Nurses, managers/leaders and nurse researchers employed in Hospitals, University Hospitals and Districts were recruited and surveyed using an online questionnaire. The data collection tool assessed: (I) demographics, (II) Digital Health Literacy (DHL) with the Health Literacy Survey19 Digital (HLS19-DIGI) instrument including DHL dealing with digital health information (HL-DIGI), interaction with digital resources for health (HL-DIGI-INT) and use of digital devices for health (HL-DIGI-DD); (III) attitudes on the use of digital technologies in clinical practice. The multiple correspondence analysis was applied to identify three clusters for the education/professional role (A, B, C) and three for digital technologies' use (1, 2, 3). The one-way nonparametric analysis of variance (Kruskal–Wallis test) was applied to compare HL-DIGI, HL-DIGI-INT and the HL-DIGI-DD scores among clusters.

Results

Among 551 participants, the median scores of the HL-DIGI, the HL-DIGI-INT and the HL-DIGI-DD questionnaires were 70.2, 72 and 2.00, respectively. The distribution in the clusters ‘educational/professional role’ was A, (58.8%); B, (16.5%); and C, (24.7%). Nurses in a managerial or coordinator role and with a postgraduate degree used digital resources with greater frequency. The distribution in the clusters ‘use of digital technologies’ was: 1, (54.6%); 2, (12.2%); and 3, (33.2%). The HL-DIGI-DD and HL-DIGI scores of clusters 1, 2 and 3 differed significantly.

Conclusion

DHL among nurses is strongly influenced by the education level, professional role, habits and attitude towards digital technologies. Nurses with coordinator roles used digital technologies with greater frequency and had a higher level of DHL.

Reporting Method

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were used for reporting.

Patient or Public Contribution

No Patient or Public Contribution.

Trial Registration: Local Ethical Committee of the Polyclinic of Bari (code: DHL7454, date: 21/09/22)

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