Hume Laura E, Drew Catherine H, Cibrian Enrique
Florida Psychological Associates, 1903 Island Walkway, Fernandina Beach, FL, 32034, USA.
J Behav Health Serv Res. 2022 Jan;49(1):91-105. doi: 10.1007/s11414-020-09745-x. Epub 2021 Jan 20.
Early identification and treatment of mental illness symptoms results in better outcomes, yet few screeners are available that can be efficiently used in community settings. The Mental Illness Needs Detection (MIND) Screener was developed to identify the need for mental health treatment and administered to 820 adults across the USA. Confirmatory factor analysis supported the internal consistency of the MIND. The MIND significantly correlated with the Kessler-10 (K10; a well-validated screener), reported mental illness, mental health treatment, and the need for treatment. The MIND's ability to accurately assess treatment needs was further demonstrated through high sensitivity (84%; 83%), specificity (71%; 62%), and AUC values (0.77; 0.73) when compared to both the K10 and reported need for treatment, respectively. These findings support the validity and reliability of the MIND and indicate its promise as a means of detecting a wide range of mental health needs across a variety of settings.
早期识别和治疗精神疾病症状会带来更好的结果，但在社区环境中能够有效使用的筛查工具却很少。“精神疾病需求检测（MIND）筛查工具”旨在识别心理健康治疗需求，并在美国各地对820名成年人进行了测试。验证性因素分析支持了MIND的内部一致性。MIND与凯斯勒10项量表（K10；一种经过充分验证的筛查工具）、报告的精神疾病、心理健康治疗以及治疗需求显著相关。与K10和报告的治疗需求相比，MIND在准确性评估治疗需求方面的能力通过高灵敏度（84%；83%）、特异性（71%；62%）和AUC值（0.77；0.73）得到了进一步证明。这些发现支持了MIND的有效性和可靠性，并表明它有望成为在各种环境中检测广泛心理健康需求的一种手段。
