Partial psychiatric hospitalizations are resource-intensive clinical services designed to stabilize patients in the short term, prevent inpatient hospitalizations, and encourage long-term recovery. Typically, providers base their referral decisions on categorical diagnoses and subjective impressions of patient distress without closely considering the evidence for reporting biases. The present study followed veterans (n = 430) participating in partial psychiatric hospitalization services. We evaluated the extent to which clinical diagnoses at intake predicted treatment variables and changes in later mental health care utilization. Using hierarchical linear regressions with bootstrap confidence intervals, Minnesota Multiphasic Personality Inventory-2-Restructured Form content-based validity scales demonstrated incremental utility for predicting patient outcomes beyond intake diagnoses. Elevated Fp-r ("Infrequent Psychopathology Responses") scores independently predicted an increased number of times arriving late for partial hospitalization programming, self-report of worse current functioning at intake, and a relative increase in mental health care encounters in the 12 months following discharge. Low K-r ("Adjustment Validity") scores independently predicted self-report of worse current functioning at both intake and later discharge from partial hospitalization. Thus, indicators of severe psychopathology overreporting as well as the unlikely disavowal of emotional adjustment (i.e., high Fp-r, low K-r) predicted engagement with health care services and self-presentations of symptoms over and above the diagnostic impressions from referring providers. We discuss how indicators of content-based invalid responding on the Minnesota Multiphasic Personality Inventory-2-Restructured Form have real-world value for understanding patient behavior and shaping clinical interventions among vulnerable populations. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

中文翻译：

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MMPI-2-RF 有效性量表增加了预测部分精神病住院期间治疗参与度的实用性。

部分精神科住院治疗是资源密集型临床服务，旨在短期稳定患者病情、防止患者住院并鼓励长期康复。通常，提供者的转诊决定基于分类诊断和患者痛苦的主观印象，而没有仔细考虑报告偏差的证据。本研究跟踪参与部分精神病住院服务的退伍军人 (n = 430)。我们评估了入院时的临床诊断在多大程度上预测了治疗变量以及后期精神卫生保健利用的变化。使用带有 bootstrap 置信区间的分层线性回归，明尼苏达多相人格量表 2 重构表基于内容的有效性量表证明了预测患者结果（超出摄入诊断）的增量效用。Fp-r（“不常见的精神病理学反应”）分数的升高独立预测了部分住院计划迟到次数的增加、入院时当前功能较差的自我报告以及随后 12 个月内心理健康护理遭遇的相对增加释放。低 Kr（“调整有效性”）分数独立预测了在入院和后来部分住院出院时当前功能较差的自我报告。因此，严重精神病理学过度报告的指标以及不太可能否认的情绪调整（即高 Fp-r、低 Kr）预测了对医疗保健服务的参与以及症状的自我表现，超出了转诊提供者的诊断印象。我们讨论了明尼苏达多相人格量表 2 重组表中基于内容的无效响应指标如何对于了解患者行为和在弱势群体中制定临床干预措施具有现实价值。（PsycInfo 数据库记录 (c) 2023 APA，保留所有权利）。