利用统计技术了解有心理健康问题的军人的独特需求:从假设病人的同质性转向了解异质性。

IF 1.4 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Laura Josephine Hendrikx, D Murphy
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引用次数: 0

摘要

为寻求心理健康支持的军人提供的金标准治疗通常都是标准化和手册化的,以确保治疗的高忠实度。虽然手册化治疗方法优于实证性较差的特异性方法,但它们可能无法完全解释具有相同心理诊断的患者在症状特征方面的差异。事实上,最近的研究结果表明,有相当一部分人并不能从 "黄金标准 "疗法中获益。本简要报告讨论了统计技术的实用性,特别是潜在特征分析和网络分析,以支持临床军队和普通人群向更加循证的特异性个性化护理过渡。进一步采用此类分析方法可有助于建立一个支持个性化护理的框架,根据个人临床需求选择和调整循证治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using statistical techniques to understand the unique needs of military personnel experiencing mental health difficulties: moving away from assuming patient homogeneity to understanding heterogeneity.

Gold standard treatments for military personnel seeking support for mental health difficulties are often standardised and manualised to ensure high levels of treatment fidelity. While manualised treatments are preferable to less evidence-based idiosyncratic approaches, they may not fully account for the differences in symptom profiles present in patients with the same psychological diagnosis. Indeed, recent findings have highlighted that a significant proportion of individuals do not benefit from the 'gold standard' treatments. This brief report discusses the utility of statistical techniques, specifically latent profile analysis and network analysis, to support the transition to more evidence-based idiosyncratic, personalised care for clinical military, and general, populations. Further incorporation of such analysis methods may support arriving at a framework to support the personalisation of care in terms of the selection and adaption of evidence-based approach treatments based on individual clinical need.

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来源期刊
Bmj Military Health
Bmj Military Health MEDICINE, GENERAL & INTERNAL-
CiteScore
3.10
自引率
20.00%
发文量
116
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