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Using RE-AIM to examine the potential public health impact of an integrated collaborative care intervention for weight and depression management in primary care
Results from the RAINBOW trial
Lewis, M. A., Wagner, L. K., Rosas, L. G., Lv, N., Venditti, E. M., Steinman, L. E., Weiner, B. J., Goldhaber-Fiebert, J. D., Snowden, M. B., & Ma, J. (2021). Using RE-AIM to examine the potential public health impact of an integrated collaborative care intervention for weight and depression management in primary care: Results from the RAINBOW trial. PLoS One, 16(3), Article e0248339. https://doi.org/10.1371/journal.pone.0248339
BACKGROUND: An integrated collaborative care intervention was used to treat primary care patients with comorbid obesity and depression in a randomized clinical trial. To increase wider uptake and dissemination, information is needed on translational potential.
METHODS: The trial collected longitudinal, qualitative data at baseline, 6 months (end of intensive treatment), 12 months (end of maintenance treatment), and 24 months (end of follow-up). Semi-structured interviews (n = 142) were conducted with 54 out of 409 randomly selected trial participants and 37 other stakeholders, such as recruitment staff, intervention staff, and clinicians. Using a Framework Analysis approach, we examined themes across time and stakeholder groups according to the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework.
RESULTS: At baseline, participants and other stakeholders reported being skeptical of the collaborative care approach related to some RE-AIM dimensions. However, over time they indicated greater confidence regarding the potential for future public health impact. They also provided information on barriers and actionable information to enhance program reach, effectiveness, adoption, implementation, and maintenance.
CONCLUSIONS: RE-AIM provided a useful framework for understanding how to increase the impact of a collaborative and integrative approach for treating comorbid obesity and depression. It also demonstrates the utility of using the framework as a planning tool early in the evidence-generation pipeline.
