Tomczyk Samuel, Heineck Sascha, McLaren Thomas, Peter Lina-Jolien, Schomerus Georg, Schmidt Silke, Muehlan Holger
University of Greifswald, Institute of Psychology, Department Health and Prevention, Germany.
University of Greifswald, Institute of Psychology, Department Health and Prevention, Germany.
J Affect Disord. 2023 Jun 15;331:279-286. doi: 10.1016/j.jad.2023.03.028. Epub 2023 Mar 16.
Self-help interventions for health complaints promise alleviation, for instance, of depressive symptoms, and have become increasingly popular. However, despite constant progress regarding digitally supported self-help, real-world uptake is low and motivational processes, like task-specific self-efficacy, are rarely investigated. Therefore, this study developed and tested the Self-Efficacy for Self-Help Scale (SESH).
In a randomized controlled trial of a positive psychological online intervention to foster self-help, 344 adults (mean age = 49.26 years, SD = 27.85; 61.9 % female) completed SESH at three time points (pretest, posttest, 2-week follow-up). Psychometric testing included factorial validity, reliability (internal consistency, split-half), convergent validity (via depression coping self-efficacy), discriminant validity (via depression severity, depression literacy), sensitivity to change (due to the intervention), and predictive validity (via a theory of planned behavior questionnaire on self-help).
The unidimensional scale showed excellent reliability, construct validity, and predictive validity regarding self-help (the theory of planned behavior explained 49 % of variance in self-help intentions). The analysis did not clearly support sensitivity to change, however, SESH scores did not change in the intervention group but were lower in the control group at posttest.
The study was not representative of the population, and the intervention was not previously tested. Studies with longer follow-ups and more diverse samples are needed.
This study closes a gap in current self-help research by presenting a psychometrically sound measure to capture self-efficacy for self-help that can be used in epidemiological studies as well as clinical practice.
针对健康问题的自助干预有望缓解诸如抑郁症状等问题,并且越来越受欢迎。然而,尽管在数字支持的自助方面不断取得进展,但实际应用率较低,而且很少有人研究诸如特定任务自我效能感等动机过程。因此,本研究开发并测试了自助自我效能量表(SESH)。
在一项促进自助的积极心理在线干预随机对照试验中,344名成年人(平均年龄 = 49.26岁,标准差 = 27.85;61.9%为女性)在三个时间点(预测试、后测试、2周随访)完成了SESH。心理测量测试包括因子效度、信度(内部一致性、分半)、聚合效度(通过抑郁应对自我效能感)、区分效度(通过抑郁严重程度、抑郁素养)、对变化的敏感性(由于干预)以及预测效度(通过关于自助的计划行为理论问卷)。
该单维量表在自助方面显示出出色的信度、结构效度和预测效度(计划行为理论解释了自助意图中49%的方差)。分析并未明确支持对变化的敏感性,然而,干预组的SESH分数在测试后没有变化,但对照组的分数更低。
该研究不具有人群代表性,且该干预之前未经过测试。需要进行更长随访期和更多样化样本的研究。
本研究通过提出一种心理测量上合理的测量方法来捕捉自助自我效能感,填补了当前自助研究的空白,该方法可用于流行病学研究以及临床实践。