Kohrt Brandon A, Wahid Syed Shabab, Ottman Katherine, Burgess Abigail, Viduani Anna, Martini Thais, Benetti Silvia, Momodu Olufisayo, Bohara Jyoti, Neupane Vibha, Gautam Kamal, Adewuya Abiodun, Mondelli Valeria, Kieling Christian, Fisher Helen L
Center for Global Mental Health Equity, Department of Psychiatry and Behavioral Health, George Washington University, Washington, DC, USA.
Department of Global Health, Georgetown University, Washington, DC, USA.
Glob Ment Health (Camb). 2025 Jan 3;11:e129. doi: 10.1017/gmh.2024.136. eCollection 2024.
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression. However, little is known globally about adolescents' and other stakeholders' attitudes toward use of depression prediction tools. To address this, key informant interviews and focus group discussions were conducted in Brazil, Nepal, Nigeria and the United Kingdom with 23 adolescents, 45 parents, 47 teachers, 48 health-care practitioners and 78 other stakeholders (total sample = 241) to assess attitudes toward using a depression prediction risk calculator based on the Identifying Depression Early in Adolescence Risk Score. Three attributes were identified for an acceptable depression prediction tool: it should be understandable, confidential and actionable. Understandability includes depression literacy and differentiating between having a condition versus risk of a condition. Confidentiality concerns are disclosing risk and impeding educational and occupational opportunities. Prediction results must also be actionable through prevention services for high-risk adolescents. Six recommendations are provided to guide research on attitudes and preparedness for implementing prediction tools.
鉴于预测性精神病学的发展速度,存在一种风险,即其发展速度超过了临床护理和公共卫生领域公众及专业人士的使用意愿。精神病学中的预测工具可估算心理健康状况未来发展的风险。用于年轻人群体的预测工具有可能减轻全球抑郁症负担。然而,全球对于青少年及其他利益相关者对抑郁症预测工具使用的态度知之甚少。为解决这一问题,在巴西、尼泊尔、尼日利亚和英国对23名青少年、45名家长、47名教师、48名医疗从业者和78名其他利益相关者(总样本 = 241)进行了关键信息人访谈和焦点小组讨论,以评估对基于青少年早期抑郁症风险识别评分使用抑郁症预测风险计算器的态度。确定了可接受的抑郁症预测工具的三个属性:应易于理解、保密且具有可操作性。易于理解包括抑郁症知识素养以及区分患有某种疾病与患病风险。保密性问题涉及披露风险以及阻碍教育和职业机会。预测结果还必须通过针对高危青少年的预防服务具有可操作性。提供了六项建议,以指导关于态度及实施预测工具准备情况的研究。