148029 20260217205517.0 doi 10.1177/20552076241283942 sideral 141558 ART-2024-141558 eng González-Pérez, Alberto Towards a self-applied, mobile-based geolocated exposure therapy software for anxiety disorders: SyMptOMS-ET app 2024 Access copy available to the general public Unrestricted Objective: While exposure therapy (ET) has the potential to help people tolerate intense situation-specific emotions and change avoidance behaviours, no smartphone solution exists to guide the process of in-vivo ET. A geolocation-based smartphone software component was designed and developed to instrumentalize patient guidance in in-vivo ET and its psychological validity was assessed by a group of independent psychology experts. Methods: A team of computer scientists and psychologists developed the ET Component for in-vivo ET using geolocation-based technology, following the process-centred design methodology. The ET Component was integrated into the SyMptOMS-ET Android application, which was developed following the co-design methodology. Next, nine independent psychology experts tested and evaluated the ET Component and the SyMptOMS-ET app in the field, following the think-aloud methodology. Participants also completed the Mobile Application Rating Scale (MARS) instrument to quantitatively evaluate the solutions. Results: We present the SyMptOMS-ET app’s main features and the ET Component exposure workflow. Next, we discuss the feedback obtained and the results of the MARS instrument. Participants who tested the app were satisfied with the ET Component during exposure scenarios (score of [Formula: see text]4.32 out of 5 [[Formula: see text]0.28] on MARS quality aspects), agreed on the soundness of the theoretical foundations of the solutions developed (score of [Formula: see text]4.57 [[Formula: see text]0.48] on MARS treatment support aspects), and provided minor think-a-loud comments to improve them. Conclusions: The results of the expert evaluation demonstrate the psychological validity of the ET Component and the SyMptOMS-ET app. However, further studies are needed to discern the acceptability and efficacy of the mHealth tool in the target population. info:eu-repo/grantAgreement/ES/AEI/PID2020-120250RB-I00 info:eu-repo/grantAgreement/ES/AEI/PID2022-1404475OB-C21 info:eu-repo/grantAgreement/ES/AEI/PID2022-1404475OB-C22 info:eu-repo/grantAgreement/ES/MCIU/FPU17-03832 info:eu-repo/grantAgreement/ES/MIU/FPU19-05352 info:eu-repo/semantics/openAccess by-nc https://creativecommons.org/licenses/by-nc/4.0/deed.es 3.3 2024 HEALTH CARE SCIENCES & SERVICES 42 / 188 = 0.223 2024 Q1 T1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 86 / 421 = 0.204 2024 Q1 T1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 86 / 421 = 0.204 2024 Q1 T1 HEALTH POLICY & SERVICES 15 / 125 = 0.12 2024 Q1 T1 MEDICAL INFORMATICS 25 / 48 = 0.521 2024 Q3 T2 0.874 2024 Computer Science Applications 2024 Q2 Health Policy 2024 Q2 Health Information Management 2024 Q2 Health Informatics 2024 Q2 3.5 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Díaz-Sanahuja, Laura Matey-Sanz, Miguel Osma, Jorge Universidad de Zaragoza (orcid)0000-0002-7293-318X Granell, Carlos Bretón-López, Juana Casteleyn, Sven 4009 680 Universidad de Zaragoza Dpto. Psicología y Sociología Área Person.Eval.Trat.Psicoló. 10 (2024), [17 pp.] Digital Health 2055-2076 2593297 http://zaguan.unizar.es/record/148029/files/texto_completo.pdf Versión publicada 2307409 http://zaguan.unizar.es/record/148029/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:148029 articulos driver 2026-02-17-20:27:24 ARTICLE