Department of Psychology, Indiana University-Purdue University Indianapolis.
Health Services Research and Development, Richard L. Roudebush, Veterans Affairs Medical Center.
Psychiatr Rehabil J. 2017 Dec;40(4):344-353. doi: 10.1037/prj0000284. Epub 2017 Sep 14.
This study aims to identify consumer-level predictors of level of treatment response to illness management and recovery (IMR) to target the appropriate consumers and aid psychiatric rehabilitation settings in developing intervention adaptations.
Secondary analyses from a multisite study of IMR were conducted. Self-report data from consumer participants of the parent study (n = 236) were analyzed for the current study. Consumers completed prepost surveys assessing illness management, coping, goal-related hope, social support, medication adherence, and working alliance. Correlations and multiple regression analyses were run to identify self-report variables that predicted level of treatment response to IMR.
Analyses revealed that goal-related hope significantly predicted level of improved illness self-management, F(1, 164) = 10.93, p < .001, R2 = .248, R2 change = .05. Additionally, we found that higher levels of maladaptive coping at baseline were predictive of higher levels of adaptive coping at follow-up, F(2, 180) = 5.29, p < .02, R2 = .38, R2 change = .02. Evidence did not support additional predictors.
Previously, consumer-level predictors of level of treatment response have not been explored for IMR. Although 2 significant predictors were identified, study findings suggest more work is needed. Future research is needed to identify additional consumer-level factors predictive of IMR treatment response in order to identify who would benefit most from this treatment program. (PsycINFO Database Record
本研究旨在确定影响疾病管理和康复(IMR)治疗反应水平的消费者层面预测因素,以便针对合适的消费者,并帮助精神康复环境制定干预适应措施。
对 IMR 的多地点研究进行了二次分析。本研究分析了来自母研究的消费者参与者的自我报告数据(n=236)。消费者完成了评估疾病管理、应对、与目标相关的希望、社会支持、药物依从性和工作联盟的预-后调查。进行了相关分析和多元回归分析,以确定预测 IMR 治疗反应水平的自我报告变量。
分析表明,与目标相关的希望显著预测了疾病自我管理的改善程度,F(1,164)=10.93,p<.001,R2=.248,R2 变化=.05。此外,我们发现基线时更高水平的适应不良应对与随访时更高水平的适应性应对相关,F(2,180)=5.29,p<.02,R2=.38,R2 变化=.02。没有证据支持其他预测因素。
以前,尚未探讨过 IMR 治疗反应水平的消费者层面预测因素。虽然确定了 2 个重要的预测因素,但研究结果表明还需要做更多的工作。需要进一步的研究来确定预测 IMR 治疗反应的其他消费者层面因素,以便确定谁最能从这种治疗方案中受益。