TY - JOUR AU - White, Veronica M. AU - Molfenter, Todd AU - Gustafson, David H. AU - Horst, Julie AU - Greller, Rachelle AU - Gustafson, David H. AU - Kim, Jee-Seon AU - Preuss, Eric AU - Cody, Olivia AU - Pisitthakarm, Praan AU - Toy, Alexander PY - 2020 DA - 2020/10/23 TI - NIATx-TI versus typical product training on e-health technology implementation: a clustered randomized controlled trial study protocol JO - Implementation Science SP - 94 VL - 15 IS - 1 AB - Substance use disorders (SUDs) lead to tens-of-thousands of overdose deaths and other forms of preventable deaths in the USA each year. This results in over $500 billion per year in societal and economic costs as well as a considerable amount of grief for loved ones of affected individuals. Despite these health and societal consequences, only a small percentage of people seek treatment for SUDs, and the majority of those that seek help fail to achieve long-term sobriety. E-health applications in healthcare have proven to be effective at sustaining treatment and reaching patients traditional treatment pathways would have missed. However, e-health adoption and sustainment rates in healthcare are poor, especially in the SUD treatment sector. Implementation engineering can address this gap in the e-health field by augmenting existing implementation models, which explain organizational and individual e-health behaviors retrospectively, with prospective resources that can guide implementation. SN - 1748-5908 UR - https://doi.org/10.1186/s13012-020-01053-4 DO - 10.1186/s13012-020-01053-4 ID - White2020 ER -