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将评估数据转化为成瘾障碍治疗的实施方法。

An Implementation Approach to Translating Assessment Data into Treatment for Disorders of Addiction.

机构信息

Wellbridge Addiction Treatment and Research, Calverton, NY, USA.

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempsted, NY, USA.

出版信息

Inquiry. 2024 Jan-Dec;61:469580241237117. doi: 10.1177/00469580241237117.

Abstract

Effective translation of data to inform real-time patient care is lacking in addiction inpatient settings. The current study presents the optimization of an assessment report that is used by clinicians to individualize treatment. A multi-aim, iterative approach was taken, utilizing an implementation science perspective to arrive at a final version of the assessment report. This occurred at a small inpatient addiction treatment facility. Participants were all available clinical staff (N = 7; female = 71%). A quantitative survey was used for aims 1 and 2 to, respectively, assess motives and context around the report as well as evaluate its design. Aim 3 focused on optimization via semi-structured interviews. Descriptive and modified content analyses were utilized appropriately across aims. This resulted in five versions of the assessment report being created between February 2021 and August 2022, the most recent of which was adapted into patients' electronic medical records. We discuss each version of the report in depth, including clinicians' iterative feedback and researchers' perceived barriers to this translational process. The response rate was 64.3%. The current study highlights a replicable approach for optimizing the translation of assessment data into treatment for patients with disorders of addiction as well as an assessment report that could be utilized by similar facilities with a naturally low sample size.

摘要

在成瘾住院治疗环境中,缺乏将数据有效转化为实时患者护理的方法。本研究提出了一种评估报告的优化方法,该方法供临床医生用于个性化治疗。采用多目标、迭代的方法,利用实施科学的观点得出评估报告的最终版本。这是在一家小型住院成瘾治疗机构进行的。参与者均为临床工作人员(N=7;女性=71%)。为了实现目标 1 和 2,我们使用了定量调查,分别评估报告的动机和背景,以及评估其设计。目标 3 侧重于通过半结构化访谈进行优化。在各个目标中,均适当地使用了描述性和修改后的内容分析。这导致在 2021 年 2 月至 2022 年 8 月期间创建了五个版本的评估报告,最新的版本已被纳入患者的电子病历。我们深入讨论了报告的每个版本,包括临床医生的迭代反馈和研究人员对这种转化过程的感知障碍。回复率为 64.3%。本研究强调了一种可复制的方法,用于将评估数据有效转化为治疗成瘾障碍患者的方法,以及一种评估报告,类似的小型机构也可以使用该报告。

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