| Autor: |
Martinez-Nicolas I; Faculty of Life Sciences, Catholic University of Murcia (UCAM), 30107 Guadalupe, Spain.; Sistema Español de Notificación en Seguridad en Anestesia y Reanimación (SENSAR), IDEhA Simulation Centre, Fundación Alcorcon University Hospital, 28922 Alcorcon, Spain., Basaraba C; New York State Psychiatric Institute, Columbia University, New York, NY 10024, USA., Delgado-Gomez D; Department of Statistics, University Carlos III of Madrid, 28903 Getafe, Spain.; Santander Big Data Institute, Universidad Carlos III de Madrid, 28903 Getafe, Spain., Lopez-Fernandez O; Department of Psychiatry, University Hospital Jimenez Diaz Foundation, 28040 Madrid, Spain.; Faculty of Psychology, Madrid Complutense University, 28049 Madrid, Spain.; Faculty of Psychology, Francisco de Vitoria University, 28049 Madrid, Spain.; Faculty of Psychology, Cardenal Cisneros Centro de Estudios Universitarios, 28223 Madrid, Spain., Baca-Garcia E; Department of Psychiatry, University Hospital Jimenez Diaz Foundation, 28040 Madrid, Spain.; Department of Psychiatry, University Hospital Rey Juan Carlos, 28933 Móstoles, Spain.; Department of Psychiatry, General University Hospital of Villalba, 28400 Collado Villalba, Spain.; Department of Psychiatry, University Hospital Infanta Elena, 28342 Valdemoro, Spain.; Department of Psychiatry, Madrid Autonomous University, 28049 Madrid, Spain.; CIBERSAM (Centro de Investigacion en Salud Mental), Carlos III Institute of Health, 28029 Madrid, Spain.; Faculty of Psychology, Universidad Catolica del Maule, Talca 3605, Chile.; Department of Psychiatry, Centre Hospitalier Universitaire de Nîmes, 30900 Nîmes, France., Wainberg ML; New York State Psychiatric Institute, Columbia University, New York, NY 10024, USA. |
| Abstrakt: |
(1) Background: In the "post-COVID-19 era", there is a need to focus on properly assessing and addressing the extent of its well-established mental health collateral damage. The "Electronic Mental Wellness Tool" (E-mwTool) is a 13-item validated stepped-care or stratified management instrument that aims at the high-sensitivity captures of individuals with mental health disorders to determine the need for mental health care. This study validated the E-mwTool in a Spanish-speaking population. (2) Methods: It is a cross-sectional validation study using the Mini International Neuropsychiatric Interview as a criterion standard in a sample of 433 participants. (3) Results: About 72% of the sample had a psychiatric disorder, and 67% had a common mental disorder. Severe mental disorders, alcohol use disorders, substance use disorders, and suicide risk had a much lower prevalence rate (6.7%, 6.2%, 3.2%, and 6.2%, respectively). The first three items performed excellently in identifying any mental health disorder with 0.97 sensitivity. Ten additional items classified participants with common mental disorders, severe mental disorders, substance use disorders, and suicide risk. (4) Conclusions: The E-mwTool had high sensitivity in identifying common mental disorders, alcohol and substance use disorders, and suicidal risk. However, the tool's sensitivity in detecting low-prevalence disorders in the sample was low. This Spanish version may be useful to detect patients at risk of mental health burden at the front line of primary and secondary care in facilitating help-seeking and referral by their physicians. |
