Enhancement of Public Health Professionals via Digital Transformation Competencies

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1810

Special Issue Editors


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Guest Editor
Didactics and Educational Research in Healthcare, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany
Interests: medical and health education; digital transformation in health care; technology enhanced learning; human animal studies
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Centre for Applied Health Science, Leuphana University Lueneburg, 21335 Lueneburg, Germany
2. Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, 33615 Bielefeld, Germany
Interests: gamification; serious games; digital learning, digital health and medical education, inverted classroom model
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The digital transformation is not only changing industry, commerce or services, but also very much the entire health sector. In recent years, we have seen a rapid increase in digital innovations in the health sector. Global challenges such as pandemics, inequitable distribution, ageing societies or climate change require new methods, technologies and approaches.

These changes will not only be steady, but may also be disruptive. It is therefore important that all those involved in the health system have digital competences in order to not only guarantee participation, but also to have options for action and design.

This concerns all professions in the health sector, e.g. from doctors to nurses and therapeutic professions to staff in the organisation and administration. Patients also need digital health literacy in order to participate in all the new possibilities of care.

The teaching of digital competences in education, further education and training is an important task for the coming years. Many job profiles will change. The demands, but hopefully also the appreciation, will increase significantly.

This Special Issue presents possibilities and experiences with the further development of the health professions through digital transformation literacy.

We are looking forward to receiving your manuscripts on studies in this field.

You may choose our Joint Special Issue in International Journal of Environmental Research and Public Health.

With best regards

Prof. Dr. Jan Ehlers
Dr. Daniel Tolks
Guest Editors

Manuscript Submission Information

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Keywords

  • digital literacy
  • digital health
  • e-health
  • digital transformation
  • transformation literacy
  • health information technology
  • wearable devices
  • telehealth
  • telemedicine
  • personalized medicine
  • education
  • training

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Published Papers (1 paper)

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Research

15 pages, 531 KiB  
Article
Development and Validation of the Attitudes towards Social Robots Scale
by Daniel B. Niewrzol and Thomas Ostermann
Healthcare 2024, 12(3), 286; https://doi.org/10.3390/healthcare12030286 - 23 Jan 2024
Viewed by 1500
Abstract
The idea of artificially created social robots has a long tradition. Today, attitudes towards robots play a central role in the field of healthcare. Our research aimed to develop a scale to measure attitudes towards robots. The survey consisted of nine questions on [...] Read more.
The idea of artificially created social robots has a long tradition. Today, attitudes towards robots play a central role in the field of healthcare. Our research aimed to develop a scale to measure attitudes towards robots. The survey consisted of nine questions on attitudes towards robots, sociodemographic questions, the SWOP-K9, measuring self-efficacy, optimism, and pessimism, and the BFI-10, measuring personality dimensions. Structural relations between the items were detected using principal components analysis (PCA) with Varimax rotation. Correlations and Analysis of Variance were used for external validation. In total, 214 participants (56.1% female, mean age: 30.8 ± 14.4 years) completed the survey. The PCA found two main components, “Robot as a helper and assistant” (RoHeA) and “Robot as an equal partner” (RoEqP), with four items each explaining 53.2% and 17.5% of the variance with a Cronbach’s α of 0.915 and 0.768. In the personality traits, “Conscientiousness” correlated weakly with both subscales and “Extraversion” correlated with RoHeA, while none the subscales of the SWOP-K9 significantly correlated with RoEqP or RoHeA. Male participants scored significantly higher than female participants. Our survey yielded a stable and convergent two-factor instrument that exhibited convincing validity and complements other findings in the field. The ASRS can easily be used to describe attitudes towards social robots in human society. Further research, however, should be carried out to investigate the discriminant and convergent validity of the ASRS. Full article
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