Background. While numerous validated questionnaires measuring psychiatric symptoms in Parkinson’s disease (PD) are available, a quick multifaceted screening tool is lacking. Objective. To generate the Brief Psychiatric Questionnaire (BPQ) that quickly screens for depression, anxiety, and apathy and to evaluate its content validity against three reference scales. Methods. Forty-seven questions were drafted and measured against the Geriatric Depression Scale (GDS), State Trait Anxiety Inventory (Form Y2) (STAI-Y2), and Apathy Evaluation Scale (AES). Data were reduced by principal component analysis and linear regression. Content validity and repeatability were assessed in a second cohort. Results. Data from ninety-five patients were used for BPQ development. Variation explained by the final linear regression models was 52% for GDS (R² = 0.521, F(2,94) = 49.97, ), 65% for STAI-Y2 (R² = 0.652, F(4,94) = 42.08, ), and 14% for AES (R² = 0.135, F(1,94) = 14.51, ). From the initial pool, only five questions remained for further testing. BPQ questions correctly identified 88% in the second cohort of 33 patients scoring more than five on GDS and 91% who scored in the highest decile of STAI-Y2, but only 51% who scored in the highest decile of AES. Moderate to strong correlation (r = 0.464 − 0.733, ) between predicted scores based on BPQ questions and actual scores of three validated questionnaires was demonstrated. Good repeatability of BPQ questions was demonstrated by moderate to high intraclass correlation coefficients (0.47–0.772, ). Conclusions. BPQ questions were able to accurately identify patients at risk of depression and anxiety but not apathy. It is brief and multifaceted and can act as a preconsultation tool to prompt further psychiatric assessment.

中文翻译：

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帕金森病的简短精神病筛查问卷。

背景。虽然有许多经过验证的测量帕金森病 (PD) 精神症状的问卷，但缺乏快速的多方面筛查工具。客观。生成快速筛查抑郁、焦虑和冷漠的简短精神病学问卷 (BPQ)，并根据三个参考量表评估其内容有效性。方法。根据老年抑郁量表 (GDS)、状态特质焦虑量表 (Form Y2) (STAI-Y2) 和冷漠评估量表 (AES)，起草并测量了 47 个问题。通过主成分分析和线性回归减少数据。在第二个队列中评估内容有效性和可重复性。结果. 来自 95 名患者的数据用于 BPQ 开发。最终线性回归模型解释的变异为 GDS 的 52% ( R ²  = 0.521, F (2,94) = 49.97, )， STAI-Y2 的 65% ( R ²  = 0.652, F (4,94) = 42.08 , ), AES 为 14% ( R ²  = 0.135, F (1,94) = 14.51, )。从最初的池中，只剩下五个问题需要进一步测试。BPQ 问题在第二组 33 名 GDS 评分超过 5 分的患者中正确识别了 88%，在 STAI-Y2 的最高十分位数中得分为 91%，但只有 51% 在 AES 的最高十分位数中得分。证明了基于 BPQ 问题的预测分数与三个经过验证的问卷的实际分数之间的中度至强相关性 ( r  = 0.464 - 0.733 ) 。中到高的组内相关系数（0.47-0.772, ）证明了 BPQ 问题的良好可重复性。结论 . BPQ 问题能够准确识别有抑郁和焦虑风险但不能冷漠的患者。它是简短而多方面的，可以作为一种预咨询工具，以促进进一步的精神病学评估。