The Electronic Mental Wellness Tool as a Self-Administered Brief Screening Instrument for Mental Disorders in the General Spanish Population during the Post-Covid-19 Era

Bibliographic Data

ID15500857
AuthorsIsmael Martínez Nicolás (0000-0002-0254-3741, Hospital Universitario Fundación Alcorcón), Cale Basaraba (0000-0002-9240-6344, New York Psychoanalytic Society and Institute), David Delgado‐Gómez (0000-0002-2976-2602, Universidad Carlos III de Madrid), Olatz López-Fernández (0000-0002-4294-9156, Universidad Complutense de Madrid, corresponding author), Enrique Baca-Garcia (0000-0002-6963-6555, Catholic University of the Maule, corresponding author), Milton L Wainberg (0000-0002-9390-4652, New York Psychoanalytic Society and Institute)
Year2023
Volume20
Issue4
Pages3204-3204
Publication date2023-02-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20043204
PMID36833900
OpenAlexW4320495914
LanguageEN
Citations received1
References cited18

(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

Alcohol · Alcohol use disorder · Chinese Classification of Mental Disorders · Environmental health · Family medicine · Mental health · Mental illness · Personality disorders · Population · Prevalence of mental disorders · Psychiatry · Psychological intervention · Referral · Clinical Psychology · COVID-19 and Mental Health · Digital Mental Health Interventions · Medicine · Mental Health Treatment and Access · Psychology