RESUMO
OBJECTIVES: The aim of the study was to verify the psychometric properties of the Polish adaptation of the Unified Theory of Acceptance and Use of Technology - Therapist version (UTAUT-T) and to verify the UTAUT-T model in a group of Polish psychotherapists. METHODS: A total of 434 people aged 27-66 (M = 40.78; SD = 7.70), including 337 women and 58 men, took part in an online self-report study, which involved completing three questionnaires: UTAUT-T, the short IPIP-BFM-20 Questionnaire for measuring the Big Five, the Technology Readiness Index (TRI 2.0), as well as answers to questions about the use of digital technologies at work. The following analyses were carried out: confirmatory factor analysis (CFA), reliability analysis using Cronbach's alpha, and theoretical validity analysis - an analysis of the correlation between the subscales of the UTAUT-T instrument and questionnaires enabling the measurement of dimensions which had been indicated in previous research results as related to the acceptance of technology. RESULTS: The conducted analyses showed that the factor structure of the Polish version of UTAUT-T is the same as of the original tool, and the UTAUT-T model was confirmed in the group of Polish psychotherapists. The Cronbach's alpha reliability coefficient for individual subscales ranged from 0.57 to 0.97. The theoretical validity analysis confirmed the expected correlations between most dimensions of technology acceptance and technology readiness. In addition, there were single very weak correlations observed between technology acceptance and personality traits. CONCLUSIONS: The psychometric properties of the Polish version of UTAUT-T show satisfactory values. The scale can be used to conduct further research. The UTAUT-T model can be utilized to predict the actual use of new technologies by Polish psychotherapists.
RESUMO
Although numerous studies have examined the effects of internet-delivered cognitive behavioral therapy (iCBT) for depression and anxiety on quality of life, no meta-analysis has yet been conducted to integrate the results of these studies. We conducted systematic searches in PubMed, Cochrane, and PsycInfo, which included terms for treatment type, modality of delivery, condition, and main outcome. We included studies that met the following inclusion criteria: (a) randomized controlled trials, (b) patients allocated to some form of the control condition, (c) patients receiving some type of treatment of anxiety and/or depression involving Internet-delivered Cognitive Behavioral Therapy, (d) use of a validated outcome measure assessing the level of quality of life, (e) conducted with adult participants diagnosed with anxiety disorder and/or unipolar depression, (f) papers written in English. We analyzed 40 randomized controlled trials with a total of 4289 participants that met inclusion criteria. The pooled between-group effect size for the quality of life overall score was small (g = 0.35, 95 % CI: 0.26-0.44, p = .0001), favoring iCBT over the control conditions. Regarding the distinct quality of life domains measured by the World Health Organization Quality of Life Assessment, a statistically significant difference between iCBT and control conditions was found only for the physical health domain (g = 0.56, 95 % CI: 0.06-1.07, p = .029), in favor of iCBT. In both cases, heterogeneity was moderate. While the effect on the quality of life is small (the overall quality of life score) to moderate (the physical health domain score), we conclude that iCBT for depression and anxiety may be a promising approach for improving the quality of life of patients.
