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Predictors of length of stay in inpatient child and adolescent psychiatry: failure to validate an evidence-based model.

机译:住院儿童和青少年精神病学住院时间的预测因素:未能验证基于证据的模型。

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OBJECTIVE: To test if predictors of length of stay are based on empirical evidence. METHOD: 1001 regularly terminated treatment episodes from 13 child and adolescent psychiatric hospitals were analysed. In order to cross- validate the results, the sample was randomly divided into a definition sample (n = 500) and a validation sample (n = 501). The variables in the definition sample were screened statistically for their suitability as predictors of logarithmic length of stay (logLOS). Variables shown to be significant and uncorrelated were entered into multifactor analyses of variance in order to generate the model with the largest amount of explained variance of logLOS. Subsequently the results were tested against the validation sample. RESULTS: In the definition sample we found the three predictor variables admission as crisis intervention, out of home dispositions and psychoanalytic therapy which could explain 23.7 % of the variance of logLOS. Unfortunately, this could not be replicated in the validation sample as a model. CONCLUSION: Simple models of prediction of LOS in the field of child and adolescent psychiatry cannot be reliably based on empirical evidence. The main consequence is that fixed disorder-related reimbursement systems do not seem justified.
机译:目的:测试停留时间的预测因素是否基于经验证据。方法:分析了13家儿童和青少年精神病医院的1001例定期终止的治疗事件。为了交叉验证结果,将样本随机分为定义样本(n = 500)和验证样本(n = 501)。对定义样本中的变量进行统计学筛选,以确定其是否适合作为对数停留时间(logLOS)的预测指标。为了生成具有最大logLOS解释方差的模型,应将显示为显着且不相关的变量输入方差的多因素分析中。随后,将结果与验证样本进行测试。结果:在定义样本中,我们发现三个预测变量作为危机干预,家庭处置和心理分析疗法被接受为危机干预措施,可以解释logLOS变异的23.7%。不幸的是,这不能作为模型在验证样本中复制。结论:儿童和青少年精神病学领域LOS的简单预测模型不能可靠地基于经验证据。主要的后果是,与固定的疾病相关的报销系统似乎不合理。

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