{ "abstract": "Background: The predictD intervention, delivered by family physicians (FPs), has demonstrated effectiveness and cost-efficiency in preventing depression and anxiety. The e-predictD study aims to design, develop, and evaluate a novel personalized intervention for depression prevention by integrating information and communication technologies (ICTs), risk prediction algorithms, and decision support systems (DSS) for both patients and FPs. Objective: To evaluate the satisfaction, usability, and acceptability, of a beta version of the e-predictD intervention in primary care settings. Methods: The e-predictD intervention follows a biopsychosocial approach, including an initial patient-FP interview, specific FP training, and an app. A β-version was tested in a pilot study without a control group over three months. The app integrates a validated depression risk prediction algorithm, decision algorithms, and a monitoring system supporting the DSS. The DSS generates a personalized prevention plan (PPP) from eight intervention modules: physical exercise, social relationships, problem-solving, communication skills, decision-making, assertiveness, sleep improvement, and cognitive restructuring. Patients and FPs discussed the PPP in a 15-minute baseline interview, selecting modules for implementation over three months. Semi-structured interviews gathered feedback. Assessments included depression (PHQ-9), anxiety (GAD-7), quality of life (SF-12), and major depression risk (predictD algorithm). Results: Six FPs from six Spanish cities enrolled 56 non-depressed patients at moderate-to-high risk of depression; 47 (84%) completed follow-up. The app was used for a median of six days (interquartile range: 1–30). Both FPs and patients expressed satisfaction, leading to incorporated improvements. After three months, significant reductions in major depression risk and anxiety symptoms were observed, alongside improved mental quality of life. However, no significant changes were found in depressive symptoms or physical quality of life. Conclusion: This pilot study supports the feasibility and acceptability of the e-predictD β-version, despite lower-than-expected app usability. Health improvements were observed, warranting confirmation in a randomized controlled trial. Trial registration: ClinicalTrials.gov NCT03990792", "abstract_shown": true, "affiliations": [ "Biomedical Research Institute of Málaga (IBIMA Platform Bionand), Málaga, Spain", "Chronicity, Primary Care and Health Promotion Research Network (RICAPPS), ISCIII, Madrid, Spain", "Department of Personality, Evaluation and Psychological Treatment, University of Malaga (UMA), Malaga, Spain", "Centro de Salud San José, Distrito Sanitario Jaén Norte, Servicio Andaluz de Salud (SAS), Linares, Jaén, Spain", "Centro de Salud Federico del Castillo, Distrito Sanitario Jaén, Servicio Andaluz de Salud, (SAS)Jaén, Spain", "‘Miguel Armijo’ Health Centre, Castilla and León Health Service (SACyL), Salamanca, Spain", "Department of Medicine, University of Salamanca (USAL), Salamanca, Spain", "‘La Mina’ Health Centre, Institut Català de la Salut (ICS), Barcelona, Spain", "Instituto de Investigación Sanitaria de Aragón (IISA). Universidad de Zaragoza (UNIZAR), Zaragoza, Spain", "Department of Statistics and Operational Research, University of Granada (UGR), Granada, Spain", "El Palo Health Centre, Andalusian Health Service (SAS), Málaga, Spain", "Department of Public Health and Psychiatry, University of Málaga (UMA), Málaga, Spain" ], "article_type": "Research Article", "arxiv": null, "author_total": 12, "authors": [ { "affs": [ 0 ], "name": "Patricia Moreno-Peral" }, { "affs": [ 1 ], "name": "Henar Campos-Paíno" }, { "affs": [ 2 ], "name": "Alberto Rodríguez-Morejón" }, { "affs": [ 3 ], "name": "Sonia Conejo-Cerón" }, { "affs": [ 4 ], "name": "Antonina Rodríguez-Bayón" }, { "affs": [ 5 ], "name": "María Isabel Ballesta-Rodríguez" }, { "affs": [ 6 ], "name": "Emiliano Rodríguez-Sánchez" }, { "affs": [ 7 ], "name": "Juan Manuel Mendive" }, { "affs": [ 8 ], "name": "Yolanda López del Hoyo" }, { "affs": [ 9 ], "name": "Juan de Dios Luna" }, { "affs": [ 10 ], "name": "Olaya Tamayo" }, { "affs": [ 11 ], "name": "Juan Ángel Bellón" } ], "bibtex": "https://research.draconitic.com/paper/ewzz8cbakywwm.bib", "cited_by": 0, "doi": "10.1371/journal.pone.0355675", "fulltext_url": null, "id": "ewzz8cbakywwm", "issns": [ "1932-6203" ], "landing_url": "https://doi.org/10.1371/journal.pone.0355675", "language": null, "licence": "CC-BY-4.0", "licence_label": "CC BY 4.0", "licence_source": "journal", "licence_url": "https://creativecommons.org/licenses/by/4.0/", "metadata_licence": null, "native_subjects": [ [ "openalex", "3202|Digital Mental Health Interventions" ], [ "plos", "/Medicine and health sciences/Epidemiology/Medical risk factors" ], [ "plos", "/Medicine and health sciences/Health care/Health care providers/Physicians" ], [ "plos", "/Medicine and health sciences/Health care/Patients" ], [ "plos", "/Medicine and health sciences/Health care/Primary care" ], [ "plos", "/Medicine and health sciences/Mental health and psychiatry/Mood disorders/Depression" ], [ "plos", "/Medicine and health sciences/Public and occupational health/Preventive medicine" ], [ "plos", "/People and places/Population groupings/Professions/Medical personnel/Physicians" ], [ "plos", "/Research and analysis methods/Research design/Pilot studies" ], [ "plos", "/Social sciences/Sociology/Communications/Social communication" ] ], "openalex": "W7212222120", "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0355675&type=printable", "pmcid": null, "pmid": null, "published": "2026-09-11", "publisher": "Public Library of Science", "ris": "https://research.draconitic.com/paper/ewzz8cbakywwm.ris", "sources": [ { "first_seen": "2026-10-30T12:17:56Z", "native_id": "10.1371/journal.pone.0355675", "source": "plos", "url": "https://doi.org/10.1371/journal.pone.0355675" } ], "subjects": [ { "field": "medicine", "origin": "plos:epidemiology", "subfield": "epidemiology-public-health" }, { "field": "medicine", "origin": "plos:mental health and psychiatry", "subfield": "psychiatry" } ], "title": "Toward personalized interventions for preventing depression in primary care: Qualitative and quantitative findings from the e-predictD pilot study", "title_text": "Toward personalized interventions for preventing depression in primary care: Qualitative and quantitative findings from the e-predictD pilot study", "type": "peer-reviewed", "updated_at": "2026-10-30T12:17:56Z", "url": "https://research.draconitic.com/paper/ewzz8cbakywwm", "venue": "PLOS One", "versions": [] }