Abstract

Objective: Appropriate normative data are crucial for competent neuropsychological assessment. Although individuals with psychiatric illness often perform more poorly than healthy adults on neuropsychological testing, data that reflect the psychiatric population are often lacking. We present a normative dataset and calculation tools for the Rey–Osterrieth Complex Figure Test (RCFT) derived from the psychiatric inpatient population. Method: A sample of 301 psychiatric inpatients completed the RCFT and the Test of Memory Malingering (TOMM) between 1999 and 2018. Participants were 59.5% male, 82.1% Caucasian, 13.3% black, and 4.6% identified as another racial demographic, largely consistent with recent Substance Abuse and Mental Health Services Administration (2018) data for inpatients in U.S. psychiatric facilities. Scores for RCFT Copy, Short-Delay Free Recall, Long-Delay Free Recall, Total Recognition, and Percent Retained were modeled via multiple regression with age and education as predictors. Base rates were computed for subscores comprising Total Recognition to aid clinical decision making. Results: Age and education served as significant individual predictors for all models except one model predicting percent retained across delay that included only age. Regression equations and regression standard errors were used to produce a score calculator using a commonly available spreadsheet software package. Healthy adult norms under-estimated performance in our sample, underscoring the importance of these normative data. Conclusions: These normative data for the RCFT represent a large cohort of psychiatric inpatients. For clinical practice and research, both the data and the tools provided are likely to be of particular usefulness among individuals with serious mental illness.

摘要

目标：适当的规范数据对于胜任的神经心理学评估至关重要。尽管患有精神疾病的人在神经心理学测试中的表现往往比健康成年人更差，但通常缺乏反映精神病人群的数据。我们为来自精神病住院患者的 Rey–Osterrieth 复杂图形测试 (RCFT) 提供了规范数据集和计算工具。方法：301 名精神病住院患者的样本在 1999 年至 2018 年间完成了 RCFT 和欺骗记忆测试 (TOMM)。参与者为 59.5% 的男性、82.1% 的白人、13.3% 的黑人和 4.6% 被确定为另一个种族的人口统计数据，与最近的数据基本一致美国精神病院住院患者的药物滥用和心理健康服务管理局 (2018) 数据。RCFT 复制、短延迟自由回忆、长延迟自由回忆、总识别和保留百分比的分数通过以年龄和教育作为预测变量的多元回归建模。计算包含总识别的子分数的基本比率，以帮助临床决策。结果：年龄和教育是所有模型的重要个体预测因子，除了一个模型预测仅包括年龄的延迟保留百分比。回归方程和回归标准误差用于使用常用的电子表格软件包生成分数计算器。健康的成人规范低估了我们样本中的表现，强调了这些规范数据的重要性。结论： RCFT 的这些规范数据代表了一大群精神病住院患者。对于临床实践和研究，所提供的数据和工具可能对严重精神疾病患者特别有用。