Digital Literacy, Digital Readiness and Acceptability of Digital Mental Health Among Mental Health Professionals: Findings from the Italian DIGIT-PSY Study

Beyond specific training in Digital Mental Health (DMH)/Digital Psychiatry (DP), mental health professionals (MHp) should own basic digital abilities and competences and a general openness to integrating technology into both clinical practice and daily life. These digital drivers have not been adequately investigated among MHp in Italy. As part of the DIGIT-PSY project, a multicenter observational study was conducted using the EUSurvey® platform. From May to September 2023, a cohort of multiprofessional MHp from 27 Italian university centers was surveyed to assess digital literacy (DHL), readiness (TR) and acceptability (ATiPP). The main aim was identifying whether these digitally-derived variables could influence the level of digitalization proneness in MH care. Overall, 60% of our sample was technologically ready, with a moderate-high level of basic DHL. Two TR factors are mainly represented among Italian MHp: optimism and discomfort. Multivariate linear regression revealed that higher ATIPP (p < 0.001), higher DHL (p < 0.001), higher perceived feasibility in digital implementation (p < 0.001) and higher levels of social influence (p = 0.006) were positive drivers in digitalization by increasing TR [(F(12,1354) = 38.743; R2 = 0.256; p < 0.001]. Conversely, a lower satisfaction derived by previous DMH/DP experiences was the most significant negative factor (p = 0.037). Interestingly, Italian MHp overly displayed a higher optimistic view, despite higher discomfort perceptions from technology and digital innovation. However, Italian infrastructures and services and the lack of national regulatory guidelines in DMH/DP, together with an overly low level of education and training since University courses, may inhibit the digitalization process. Targeted interventions should consider national and university-based initiatives to overcome this gap.

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Journal
Journal of Technology in Behavioral Science
Published
2026-03-04
DOI
https://doi.org/10.1007/s41347-026-00604-8
Primary Topic
Digital Mental Health Interventions
Type
article
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article

Digital Literacy, Digital Readiness and Acceptability of Digital Mental Health Among Mental Health Professionals: Findings from the Italian DIGIT-PSY Study

Mario Amore, Luciano Mario, Giulio Longo, Paola Calò et al.
Journal of Technology in Behavioral Science
Digital Mental Health Interventions
article

Digital Literacy, Digital Readiness and Acceptability of Digital Mental Health Among Mental Health Professionals: Findings from the Italian DIGIT-PSY Study

Mario Amore, Luciano Mario, Giulio Longo, Paola Calò, Pasquale De Fazio, Matteo Di Vincenzo, Carla Gramaglia, Umberto Volpe, Chiara De Panfilis, Valeria Latorre, Sarah Tosato, Giuseppe Carrà, Anna-Rita Atti, G. Sani, G. Serafini, Stefano Barlati, Mauro Pettorruso, Mirko Manchia, Gaia Sampogna, Giovanni Martinotti, Antonio Ventriglio, Giorgio Di Lorenzo, Claudia Carmassi, Giuseppe Blasi, Laura Orsolini, Maria Salvina Signorelli, Giovanni Castellini
article en

Abstract

Beyond specific training in Digital Mental Health (DMH)/Digital Psychiatry (DP), mental health professionals (MHp) should own basic digital abilities and competences and a general openness to integrating technology into both clinical practice and daily life. These digital drivers have not been adequately investigated among MHp in Italy. As part of the DIGIT-PSY project, a multicenter observational study was conducted using the EUSurvey® platform. From May to September 2023, a cohort of multiprofessional MHp from 27 Italian university centers was surveyed to assess digital literacy (DHL), readiness (TR) and acceptability (ATiPP). The main aim was identifying whether these digitally-derived variables could influence the level of digitalization proneness in MH care. Overall, 60% of our sample was technologically ready, with a moderate-high level of basic DHL. Two TR factors are mainly represented among Italian MHp: optimism and discomfort. Multivariate linear regression revealed that higher ATIPP (p < 0.001), higher DHL (p < 0.001), higher perceived feasibility in digital implementation (p < 0.001) and higher levels of social influence (p = 0.006) were positive drivers in digitalization by increasing TR [(F(12,1354) = 38.743; R2 = 0.256; p < 0.001]. Conversely, a lower satisfaction derived by previous DMH/DP experiences was the most significant negative factor (p = 0.037). Interestingly, Italian MHp overly displayed a higher optimistic view, despite higher discomfort perceptions from technology and digital innovation. However, Italian infrastructures and services and the lack of national regulatory guidelines in DMH/DP, together with an overly low level of education and training since University courses, may inhibit the digitalization process. Targeted interventions should consider national and university-based initiatives to overcome this gap.

Journal of Technology in Behavioral Science
Università Cattolica del Sacro Cuore (IT), University of Foggia (IT), University of Pisa (IT), University of Rome Tor Vergata (IT), University of Verona (IT), Marche Polytechnic University (IT), Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Parma (IT), University of Cagliari (IT), University of Milan (IT), University of Campania "Luigi Vanvitelli" (IT), Agostino Gemelli University Polyclinic (IT), Magna Graecia University (IT), University of Catania (IT), University of Chieti-Pescara (IT), Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT), Azienda Ospedaliero Universitaria Maggiore della Carita (IT), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Azienda Sanitaria Universitaria Integrata di Trieste (IT), University of Florence (IT), University of Bari Aldo Moro (IT), University of Milano-Bicocca (IT), University of Brescia (IT), University of Genoa (IT), University of Bologna (IT)
Università Politecnica delle Marche
Quality Education
Openalex Percentile: Top 43%
Digital Mental Health Interventions
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