Aimee Campbell, PhD, MSW
New York State Psychiatric Institute, Columbia University
Traci Rieckmann, PhD
Oregon Health & Science University
This ancillary study is related to CTN-0044, "Web Delivery of Evidence-Based, Psychosocial Treatment for Substance Use Disorders."
Little is known about how computer-assisted interventions function within clinical treatment settings, provider attitudes towards this technology, and attitude changes of those providers over time. This ancillary study takes advantage of an opportunity to collect data over time from practitioners who have been exposed to an innovative computer-based therapy, the Therapeutic Education System (TES), through the addition of two follow-up surveys. Findings from this study will provide key insights into practitioner attitudes toward technological innovation, and identify important factors related to adoption and implementation, such as organizational characteristics, climate, and culture. Specific aims: 1) Assess change in practitioner attitudes, social norms, and intentions related to computer use, internet use, and web-based interventions from baseline (pre-protocol implementation) to follow-up 1 (post-study treatment completion) and follow-up 2 (post-study outcomes sharing). It is hypothesized that practitioner attitudes, social norms, and intentions will become more positive over time. 2) Assess change in practitioner attitudes, social norms, and intentions related to computer use, internet use, and web-based interventions as a function of number of clients participating in TES and providers' perceived usefulness of TES for the client. It is hypothesized that practitioner attitudes, social norms, and intentions will be positively associated with the number of TES clients assigned and perceived usefulness. 3) Explore the association between practitioner attitudes, social norms, intentions, and organizational variables (readiness, climate, organizational characteristics) at follow-up 1 and follow-up 2. 4) Describe changes in organizational factors (readiness, climate, organizational characteristics) which may serve as facilitators or barriers for adoption or implementation of the computer-assisted intervention TES.