Aurora: a mobile-based cognitive behavioral therapy intervention for anxiety and depression in Mexico

Background Anxiety and depression are leading contributors to disability worldwide. In Mexico, an upper-middle-income country (UMIC) with health-system constraints resembling those of low- and middle-income countries (LMICs), access to psychotherapy remains limited. Digital therapeutics provide a scalable approach to bridging this gap. Aurora is a Spanish-language, self-guided mobile application delivering cognitive behavioral therapy (CBT) through eight interactive modules. This study evaluated its feasibility, usability, and preliminary clinical impact among pharmacologically treated adults with anxiety and depression. Methods We conducted a mixed-methods, pre–post feasibility study in Mexico between March and October 2024. Participants were 46 adults (18–45 years) with psychiatrist-confirmed mild-to-moderate anxiety and/or depression on stable pharmacotherapy; 38 (82.6%) completed baseline and follow-up. Usability was assessed with the System Usability Scale (SUS) and the user Mobile App Rating Scale (uMARS). Symptoms were measured with the Spanish Goldberg Anxiety and Depression Scale (GADS). The number of modules completed defined engagement, categorized as follows: low (0–2), moderate (3–5), and high (6–7). Analyses included paired t -tests, non-parametric trend tests, correlations, and adjusted regressions. Results Anxiety scores decreased from 13.2 (SD 5.6) to 10.6 (SD 5.1) ( t (37) = 3.81, p = 0.001; d = 0.49), and depression scores from 11.1 (SD 5.2) to 8.4 (SD 4.9) ( t (37) = 4.75, p < 0.001; d = 0.54). Engagement showed a graded dose–response: high-engagement users ( n = 17) achieved larger reductions (Δ anxiety = −3.9; Δ depression = −4.0) than low-engagement users (Δ anxiety = −0.9; Δ depression = −1.0). Regression confirmed each additional module predicted incremental reductions in both anxiety ( β = −0.38, p = 0.009) and depression ( β = −0.41, p = 0.006). Usability ratings were high (SUS = 78.5/100; uMARS = 4.2/5). Conclusion Aurora was feasible, usable, and associated with moderate symptom reduction in pharmacologically treated patients. The observed dose–response underscores the clinical importance of sustained engagement. These findings highlight the potential of co-designed, culturally tailored digital therapeutics to expand access to mental health care in Spanish-speaking UMIC and LMIC settings, warranting confirmation in larger controlled trials.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2025-10-10
DOI
https://doi.org/10.3389/fpsyg.2025.1659374
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aurora: a mobile-based cognitive behavioral therapy intervention for anxiety and depression in Mexico

Eduardo Zárate, Alejandro López Tello, Raúl Durón-Figueroa, Ana Moreno-Coutiño et al.
Frontiers in Psychology
Digital Mental Health Interventions
article

Aurora: a mobile-based cognitive behavioral therapy intervention for anxiety and depression in Mexico

Eduardo Zárate, Alejandro López Tello, Raúl Durón-Figueroa, Ana Moreno-Coutiño, Diego Velasco, Óscar Arias-Carrión, Stephanie Nava, Christian Gabriel Toledo-Lozano, Adriana Pérez-Gómez, María del Pilar Callejas-Gómez, Antonio Ramirez-Treviño
article en

Abstract

Background Anxiety and depression are leading contributors to disability worldwide. In Mexico, an upper-middle-income country (UMIC) with health-system constraints resembling those of low- and middle-income countries (LMICs), access to psychotherapy remains limited. Digital therapeutics provide a scalable approach to bridging this gap. Aurora is a Spanish-language, self-guided mobile application delivering cognitive behavioral therapy (CBT) through eight interactive modules. This study evaluated its feasibility, usability, and preliminary clinical impact among pharmacologically treated adults with anxiety and depression. Methods We conducted a mixed-methods, pre–post feasibility study in Mexico between March and October 2024. Participants were 46 adults (18–45 years) with psychiatrist-confirmed mild-to-moderate anxiety and/or depression on stable pharmacotherapy; 38 (82.6%) completed baseline and follow-up. Usability was assessed with the System Usability Scale (SUS) and the user Mobile App Rating Scale (uMARS). Symptoms were measured with the Spanish Goldberg Anxiety and Depression Scale (GADS). The number of modules completed defined engagement, categorized as follows: low (0–2), moderate (3–5), and high (6–7). Analyses included paired t -tests, non-parametric trend tests, correlations, and adjusted regressions. Results Anxiety scores decreased from 13.2 (SD 5.6) to 10.6 (SD 5.1) ( t (37) = 3.81, p = 0.001; d = 0.49), and depression scores from 11.1 (SD 5.2) to 8.4 (SD 4.9) ( t (37) = 4.75, p < 0.001; d = 0.54). Engagement showed a graded dose–response: high-engagement users ( n = 17) achieved larger reductions (Δ anxiety = −3.9; Δ depression = −4.0) than low-engagement users (Δ anxiety = −0.9; Δ depression = −1.0). Regression confirmed each additional module predicted incremental reductions in both anxiety ( β = −0.38, p = 0.009) and depression ( β = −0.41, p = 0.006). Usability ratings were high (SUS = 78.5/100; uMARS = 4.2/5). Conclusion Aurora was feasible, usable, and associated with moderate symptom reduction in pharmacologically treated patients. The observed dose–response underscores the clinical importance of sustained engagement. These findings highlight the potential of co-designed, culturally tailored digital therapeutics to expand access to mental health care in Spanish-speaking UMIC and LMIC settings, warranting confirmation in larger controlled trials.

Frontiers in PsychologyVol. 16
Universidad Iberoamericana (MX), MSD (Mexico) (MX), Instituto Nacional de Rehabilitación (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX), Institute for Social Security and Services for State Workers (MX), Universidad Nacional Autónoma de México (MX), Tecnológico de Monterrey (MX)
Openalex Percentile: Top 68%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.