Department of Rehabilitation Medicine, University of Washington.
Department of Rehabilitation Medicine, Burn Model System National Data and Statistical Center, University of Washington.
Rehabil Psychol. 2023 Aug;68(3):313-323. doi: 10.1037/rep0000508. Epub 2023 Jun 22.
Understanding trajectories of recovery in key domains can be used to guide patients, families, and caregivers. The purpose of this study was to describe common trajectories of physical health over time and to examine predictors of these trajectories.
Adults with burn injuries completed self-reported assessments of their health-related quality of life (HRQOL) as measured by the SF-12® Physical Component Summary (PCS) score at distinct time points (preinjury via recall, index hospital discharge, and at 6-, 12-, and 24 months after injury). Growth mixture modeling (GMM) was used to model PCS scores over time. Covariables included burn size, participant characteristics, and scores from the Community Integration Questionnaire (CIQ)/Social Integration portion, Satisfaction With Life Scale (SWLS), and Satisfaction With Appearance Scale (SWAP).
Data from 939 participants were used for complete-case analysis. Participants were 72% male, 64% non-Hispanic White, with an average age of 44 years and an average burn size of 20% of total body surface area (TBSA). The best fitting model suggested three distinct trajectories (Class 1 through 3) for HRQOL. We titled each Class according to the characteristics of their trajectory. Class 1 (recovering; = 632), Class 2 (static; = 77), and Class 3 (weakened; = 205) reported near average HRQOL preinjury, then reported lower scores at discharge, with Class 1 subsequently improving to preinjury levels and Class 3 improving but not reaching their preinjury quality of life. Class 3 experienced the largest decrease in HRQOL. Class 2 reported the lowest preinjury HRQOL and remained low for the next 2 years, showing minimal change in their HRQOL.
These findings emphasize the importance of early universal screening and sustained intervention for those most at risk for low HRQOL following injury. For Class 2 (static), lower than average HRQOL before their injury is a warning. For Class 3 (weakened), if the scores at 6 months show a large decline, then the person is at risk for not regaining their HRQOL by 24 months and thus needs all available interventions to optimize their outcomes. Results of this study provide guidance for how to identify people with burn injury who would benefit from more intensive rehabilitation to help them achieve or regain better HRQOL. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
了解关键领域的恢复轨迹可以帮助指导患者、家属和护理人员。本研究的目的是描述随着时间的推移,身体健康的常见轨迹,并探讨这些轨迹的预测因素。
烧伤患者通过自我报告评估他们的健康相关生活质量(HRQOL),使用 SF-12® 物理成分综合(PCS)评分在不同时间点(通过回忆测量的受伤前、指数住院出院时,以及受伤后 6 个月、12 个月和 24 个月)。使用增长混合建模(GMM)来对 PCS 评分随时间的变化进行建模。协变量包括烧伤面积、参与者特征以及社区融入问卷(CIQ)/社会融入部分、生活满意度量表(SWLS)和外观满意度量表(SWAP)的评分。
共有 939 名参与者的数据用于完整病例分析。参与者中 72%为男性,64%为非西班牙裔白人,平均年龄为 44 岁,平均烧伤面积为 20%的总体表面积(TBSA)。最佳拟合模型提示 HRQOL 有三个不同的轨迹(Class 1 至 3)。我们根据每个类别的轨迹特征为其命名。Class 1(恢复;n = 632)、Class 2(稳定;n = 77)和 Class 3(减弱;n = 205)报告受伤前的 HRQOL 接近平均水平,然后在出院时报告较低的分数,Class 1 随后恢复到受伤前的水平,Class 3 也有所改善但未达到他们受伤前的生活质量。Class 3 的 HRQOL 下降幅度最大。Class 2 报告受伤前的 HRQOL 最低,在接下来的 2 年内一直保持较低水平,其 HRQOL 变化很小。
这些发现强调了早期普遍筛查和持续干预对受伤后 HRQOL 较低的高危人群的重要性。对于 Class 2(稳定),受伤前低于平均 HRQOL 是一个警告。对于 Class 3(减弱),如果 6 个月时的分数显示出较大的下降,那么这个人在 24 个月内可能无法恢复他们的 HRQOL,因此需要利用所有可用的干预措施来优化他们的结果。本研究的结果为如何识别那些受益于更强化康复的烧伤患者提供了指导,以帮助他们实现或恢复更好的 HRQOL。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。