Digital work engagement among Italian neurologists

Author:

Brigo Francesco1,Ponzano Marta2ORCID,Sormani Maria Pia3,Clerico Marinella4,Abbadessa Gianmarco5,Cossu Giovanni6,Trojsi Francesca5,Colucci Fabiana4,Tortorella Carla7,Miele Giuseppina5,Spina Emanuele8,Artusi Carlo Alberto9,Carmisciano Luca10,Servillo Giovanna11,Bozzali Marco9,Sparaco Maddalena5,Leocani Letizia12,Lanzillo Roberta8,Tedeschi Gioacchino5,Bonavita Simona5,Lavorgna Luigi5

Affiliation:

1. Department of Neurology, Franz Tappeiner Hospital, Merano, Italy

2. Department of Health Sciences (DISSAL), University of Genoa, Via Antonio Pastore, 1, Genova 16126, Italy

3. Department of Health Sciences (DISSAL), University of Genoa, Genova, Italy Ospedale Policlinico San Martino IRCCS, Genova, Italy

4. Clinical and Biological Sciences Department, University of Torino, Torino, Italy

5. Department of Advanced Medical and Surgical Sciences, II Clinic of Neurology, University of Campania ‘Luigi Vanvitelli,’ Caserta, Italy

6. Neurology, Brotzu Hospital, Cagliari, Italy

7. Department of Neurosciences, S. Camillo-Forlanini Hospital, Rome, Italy

8. Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Naples, Italy

9. Department of Neuroscience, University of Torino, Torino, Italy

10. Department of Health Sciences (DISSAL), University of Genoa, Genova, Italy

11. Neurology and Stroke Unit, AORN ‘A. Cardarelli,’ Naples, Italy

12. Institute of Experimental Neurology, Ospedale San Raffaele, and Department of Neurology, Vita-Salute San Raffaele University, Milano, Italy

Abstract

Background: Digital health, including telemedicine, is increasingly recommended for the management of chronic neurological disorders, and it has changed the roles of patients and clinicians. Methods: In this cross-sectional study we aimed to investigate the digital work engagement of Italian neurologists through a survey collected between September 2020 and January 2021. Questionnaires were anonymous and collected demographic characteristics, attitudes towards digital devices and social media, and details about the clinician–patient relationship. We used logistic-regression models to identify characteristics associated with the propensity to communicate with patients using social media. Results: Among the 553 neurologists who participated to the study, smartphones and computers were widely preferred compared with tablets; wearable devices were not common, although some neurologists desired them. A total of 48% of participants reported communicating with patients using social media but only a few were in favor of social friendship with patients; WhatsApp was the social media most popular for professional (86%) and personal (98%) purposes. Propensity to communicate with social media was significantly higher among those who were older ( p < 0.001) and lived in regions outside northern Italy (center: p = 0.006; south and the islands: p < 0.001). For 58% of responders, social media improved their relationship with patients, but 72% usually warned patients about unreliable websites. Conclusions: The preferred social media were those which were rapid and which safeguard privacy more effectively; neurologists made many efforts to disprove fake news circulating online, providing help to patients in various ways. This analysis can help direct future interventions for the management of chronic neurological disorders.

Publisher

SAGE Publications

Subject

Medicine (miscellaneous)

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