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.
Int J Environ Res Public Health. 2023 Feb 11;20(4):3204. doi: 10.3390/ijerph20043204.
(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.
(1) 背景：在后 COVID-19 时代，需要关注和适当评估其已确立的心理健康附带损害的程度。“电子心理健康工具”（E-mwTool）是一种 13 项验证的阶梯式护理或分层管理工具，旨在高灵敏度捕捉心理健康障碍患者，以确定是否需要心理健康护理。本研究在西班牙语人群中验证了 E-mwTool。(2) 方法：这是一项使用 Mini 国际神经精神访谈作为标准的横断面验证研究，样本量为 433 名参与者。(3) 结果：大约 72%的样本患有精神障碍，67%的样本患有常见精神障碍。严重精神障碍、酒精使用障碍、物质使用障碍和自杀风险的患病率较低（分别为 6.7%、6.2%、3.2%和 6.2%）。前三个项目在识别任何精神健康障碍方面表现出色，敏感性为 0.97。另外 10 个项目对常见精神障碍、严重精神障碍、物质使用障碍和自杀风险患者进行分类。(4) 结论：E-mwTool 在识别常见精神障碍、酒精和物质使用障碍以及自杀风险方面具有很高的敏感性。然而，该工具在检测样本中低患病率疾病的敏感性较低。这个西班牙语版本可能有助于在初级和二级保健的一线检测到有心理健康负担风险的患者，促进他们的医生寻求帮助和转介。
