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脊髓损伤后生活满意度的轨迹

Trajectories of Life Satisfaction After Spinal Cord Injury.

作者信息

Pretz Christopher R, Kozlowski Allan J, Chen Yuying, Charlifue Susan, Heinemann Allen W

机构信息

Craig Hospital, Englewood, CO; Traumatic Brain Injury National Data and Statistical Center, Englewood, CO.

Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.

出版信息

Arch Phys Med Rehabil. 2016 Oct;97(10):1706-1713.e1. doi: 10.1016/j.apmr.2016.04.022. Epub 2016 May 27.

Abstract

OBJECTIVE

To describe individual-level temporal change in life satisfaction after spinal cord injury.

DESIGN

Individual growth curve (IGC) analysis of prospectively collected data from the National Institute on Disability, Independent Living, and Rehabilitation Research National Spinal Cord Injury Database (NSCID).

SETTING

Multicenter, longitudinal database study.

PARTICIPANTS

Participants (N=4846) in the NSCID.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

Rasch-transformed Satisfaction With Life Scale scores.

RESULTS

Individual-level trajectories reflecting life satisfaction vary extensively and are associated with demographic and injury-related characteristics. Demographic characteristics include race, sex, pre-employment and discharge marital status, and level of education; injury-related factors include days in rehabilitation, neurologic level, age at injury, and injury etiology. Results are displayed graphically by way of a computer-generated interactive tool and represent different trajectories of individual-level changes in life satisfaction.

CONCLUSIONS

IGC methodology allows researchers and clinicians to anticipate patient-specific trajectories through use of an automated interactive tool. Projected trajectories hold promise in facilitating planning for inpatient and outpatient services, which could enhance long-term outcomes.

摘要

目的

描述脊髓损伤后生活满意度在个体层面随时间的变化。

设计

对来自美国国立残疾、独立生活和康复研究所国家脊髓损伤数据库(NSCID)的前瞻性收集数据进行个体生长曲线(IGC)分析。

设置

多中心纵向数据库研究。

参与者

NSCID中的参与者(N = 4846)。

干预措施

不适用。

主要观察指标

经过拉施变换的生活满意度量表得分。

结果

反映生活满意度的个体层面轨迹差异很大,且与人口统计学和损伤相关特征有关。人口统计学特征包括种族、性别、就业前和出院时的婚姻状况以及教育程度;损伤相关因素包括康复天数、神经学水平、受伤年龄和损伤病因。结果通过计算机生成的交互式工具以图形方式显示,代表了个体层面生活满意度变化的不同轨迹。

结论

IGC方法使研究人员和临床医生能够通过使用自动化交互式工具预测患者特定的轨迹。预测轨迹有望促进住院和门诊服务的规划,从而改善长期预后。

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