视频会议心理治疗:决定接受度、驱动因素和使用障碍。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1634013
Angelina Nurtsch, Lisa Maria Jahre, Julia Barbara Krakowczyk, Anita Robitzsch, Martin Teufel, Alexander Bäuerle
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引用次数: 0

摘要

背景:随着心理治疗数字化程度的提高,一些医疗保健互动正在向在线服务过渡。本研究调查了受精神健康障碍和健康对照影响的患者对视频会议心理治疗(VCP)的接受程度,确定了驱动因素和障碍。方法:于2024年2月至10月在德国北莱茵-威斯特伐利亚州进行横断面调查研究。参与者是通过门诊诊所、在线学习平台和心理治疗相关的社交媒体招募的。纳入标准为年龄≥18岁、德语熟练程度和互联网接入。收集了社会人口学、医学、心理治疗记忆以及信息和通信技术(ICT)相关数据。使用扩展的接受和技术使用统一理论(UTAUT)模型评估VCP的接受程度。结果:在N = 483名参与者中,47.6% (N = 230)报告高接受度,34.2% (N = 165)报告中等接受度,18.2% (N = 88)报告低接受度。显著的预测因子包括数字超载(β =。14、p =。006),抑郁症状(β =。11、p =。033),目前心理治疗:门诊(β = - 0.34, p =。003),担忧:有效性(β=票价pβ= 15年,pβ=。28、p β =。32、p β =。15, p = .001)。最终模型的解释方差为72.9%。结论:中高接受度表明VCP可作为心理治疗护理的补充,弥补全球治疗缺口。已确定的驱动因素和障碍突出了应考虑的因素,以促进更广泛的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Videoconferencing psychotherapy: determining acceptance, drivers and barriers of use.

Videoconferencing psychotherapy: determining acceptance, drivers and barriers of use.

Videoconferencing psychotherapy: determining acceptance, drivers and barriers of use.

Background: With increasing digitalization in psychotherapy, some healthcare interactions are transitioning to online services. This study examined the acceptance of videoconferencing psychotherapy (VCP) among patients affected by mental health disorders and healthy controls, identifying drivers and barriers.

Methods: A cross-sectional survey study was conducted from February to October 2024 in North Rhine-Westphalia, Germany. Participants were recruited via outpatient clinics, online study platforms, and psychotherapy-related social media. Inclusion criteria were age ≥ 18 years, German language proficiency, and internet access. Sociodemographic, medical, psychotherapeutic anamnesis, and information and communication technologies (ICT) related data were collected. Acceptance of VCP was assessed using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model.

Results: Of N = 483 participants, 47.6% (n = 230) reported high, 34.2% (n = 165) moderate and 18.2% (n = 88) low acceptance. Significant predictors included digital overload (β = .14, p = .006), depressive symptoms (β = .11, p = .033), current psychotherapy: outpatient (β = -.34, p = .003), concern: effectiveness (β = -.47, p < .001), concern: emotional expression (β = -.25, p < .001), and the UTAUT predictors: social influence (β = .28, p < .001), performance expectancy (β = .32, p < .001) and effort expectancy (β = .15, p = .001). Explained variance of the final model was 72.9%.

Conclusions: The moderate to high acceptance indicates that VCP could supplement psychotherapeutic care addressing the global treatment gap. Identified drivers and barriers highlight factors that should be considered to enable broader implementation.

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