Acceptance of E-mental health interventions and its determinants among psychotherapists-in-training during the first phase of COVID-19

Internet Interv. 2022 Sep:29:100555. doi: 10.1016/j.invent.2022.100555. Epub 2022 Jun 30.

Abstract

Background: Although E-mental health (EMH) interventions have been shown to be effective in the treatment of mental health problems and empirical knowledge regarding EMH acceptance for different occupations in health care is established, little is known regarding EMH and psychotherapists-in-training. This seems particularly relevant as psychotherapists-in-training will shape the future health care system since they are as being the next generation of psychotherapists. With social distancing measures in place, COVID-19 has led to an increased demand for EMH, which is broadening the way psychological treatments are delivered.

Objective: The present study aims to assess the acceptance of EMH and its determinants among psychotherapists-in-training of different EMH modalities and to retrospectively compare current acceptance with pre-COVID-19 times.

Methods: Altogether, 29 training institutions in Switzerland and 232 training institutions in Germany were contacted, resulting in a sample of N = 216 psychotherapists-in-training (88.4 % female) who filled out the self-administered web-based questionnaire in summer 2020. The acceptance of EMH was assessed considering several different modalities (e.g., videoconference, guided self-help programs) as well as further possible predictors of EMH acceptance based on the Unified Theory of Acceptance and Use of Technology. Acceptance scores were categorized as low, moderate or high based on prior research and predicted using multiple regression.

Results: Acceptance of EMH was moderate (M = 3.40, SD = 1.11) and increased significantly (t(215) = 12.03, p < .01; d = 0.88) compared to pre-COVID-19 (M = 2.67, SD = 1.11); however, acceptance varied significantly between modalities (F(2.6, 561.7) = 62.93, p < .01, partial η2 = 0.23), with videoconferencing being the most accepted and unguided programs the least. Stepwise regression including three of 14 variables (R2 = 0.55, F (14, 201) = 17.68, p < .001) identified performance expectancy, social influence and concerns about the therapeutic alliance as significant determinants of EMH acceptance.

Discussion: Acceptance by psychotherapists-in-training was moderate and in line with prior research and comparable with other clinicians' acceptance scores. Performance expectancy, social influence and concerns about the therapeutic alliance were predictive of EMH acceptance, indicating their significance in the implementation of EMH in health care.

Conclusion: These findings underline the importance of the aforementioned determinants of EMH acceptance and the need for further studies investigating EMH acceptance in order to derive adequate educational programs and to facilitate dissemination among psychotherapists-in-training.

Keywords: Acceptance; COVID-19; E-mental health; Mental health; Psychotherapist-in-Training; Psychotherapy; UTAUT.