SMARTs to Inform Adaptive Implementation Strategies.
d3lab members collaborate on the design of SMARTs intended to investigate how best to sequence and adapt strategies for promoting the implementation of evidence-based interventions. We also lead the development of new methods to analyze data from these (clustered) SMARTs.
Fernandez, M.E., Schlechter, C.R., Del Fiol, G., Gibson, B., Kawamoto, K., Siaperas, T., Pruhs, A., Greene, T., Nahum-Shani, I., Schulthies, S., Nelson, M., Bohner, C., Kramer, H., Borbolla, D., Austin, S., Weir, C., Walker, T.W., Lam, C, Y., Wetter, D.W. (2020). QuitSMART Utah: an implementation study protocol for a cluster-randomized, multi-level Sequential Multiple Assignment Randomized Trial to increase Reach and Impact of tobacco cessation treatment in Community Health Centers. Implementation Science, 15(1), 1-13.
Kilbourne, A. M., Almirall, D., Goodrich, D. E., Lai, Z., Abraham, K. M., Nord, K. M., & Bowersox, N. W. (2014). Enhancing outreach for persons with serious mental illness: 12-month results from a cluster randomized trial of an adaptive implementation strategy. Implementation Science, 9(1), 163.
Smith, Shawna N., Daniel Almirall, Katherine Prenovost, Celeste Liebrecht, Julia Kyle, Daniel Eisenberg, Mark S. Bauer, and Amy M. Kilbourne. “Change in Patient Outcomes After Augmenting a Low-level Implementation Strategy in Community Practices That Are Slow to Adopt a Collaborative Chronic Care Model.” Medical Care 57, no. 7 (2019): 503-511.
Quanbeck, A., Almirall, D., Jacobson, N., Brown, R. T., Landeck, J. K., Madden, L., … & Schumacher, N. (2020). The Balanced Opioid Initiative: protocol for a clustered, sequential, multiple-assignment randomized trial to construct an adaptive implementation strategy to improve guideline-concordant opioid prescribing in primary care. Implementation Science, 15, 1-13.