RT Journal Article
T1 Personalized Online Intervention Based on a Risk Algorithm for the Universal Prevention of Anxiety Disorders: Design and Development of the prevANS intervention
A1 Martínez Vispo, Carmela
A1 García–Huércano, Cristina
A1 Conejo–Cerón, Sonia
A1 Rodríguez-Morejón, Alberto
A1 Moreno-Peral, Patricia
AB ObjectiveTo describe the design and development of prevANS, a personalized online intervention for the universal prevention of anxiety disorders based on a predictive risk algorithm. A user-centered approach was followed, considering the feedback of potential users and mental health professionals.MethodsThe study had three phases: (a) designing the intervention based on existing scientific literature; (b) piloting and evaluating the beta version involving potential users and health professionals; and (c) refining the intervention based on participants’ suggestions. This iterative process aimed to refine the prevANS intervention before testing in a randomized controlled trial.ResultsThe prevANS intervention provides personalized anxiety risk reports and components tailored to individuals’ needs. Participants at low risk receive psychoeducation had access to a set of tools enhance protective factors. Moderate/high-risk individuals also receive cognitive-behavioral training. Both groups have access to a reward system and forum. Results from the design evaluation indicate that the prevANS interface is attractive and user-friendly and the psychoeducational materials helpful and engaging. The cognitive-behavioral training module received positive feedback. Participants suggested changes related to usability, content clarity, attractiveness, and engagement, which were implemented afterwards.ConclusionsThis article describes the development of a personalized intervention for preventing anxiety disorders using a validated risk prediction algorithm. The prevANS intervention was designed based on current scientific literature by a team of experts employing a user-centered approach. Research on the effectiveness of information and communication technologies in mental health prevention interventions considering user needs and preferences is warranted.
PB SAGE
YR 2024
FD 2024
LK https://hdl.handle.net/10347/39077
UL https://hdl.handle.net/10347/39077
LA eng
NO Martínez-Vispo C, García-Huércano C, Conejo-Cerón S, Rodríguez-Morejón A, Moreno-Peral P. Personalized online intervention based on a risk algorithm for the universal prevention of anxiety disorders: Design and development of the prevANS intervention. DIGITAL HEALTH. 2024;10. doi:10.1177/20552076241292418
NO The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Spanish Ministry of Health, the Institute of Health Carlos III, the European Regional Development Fund «Una manera de hacer Europa» (grant references: CP19/00056), and the Chronicity, Primary Care and Health Promotion Research Network ‘RICAPPS’ (RD21/0016/0012); and Spanish Ministry of Science and Innovation, the State Investigation Agency (PID2020-119652RA-l00).
DS Minerva
RD 22 abr 2026