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Evaluating Dissemination of AHRQ CER Products. Darren Mays, PhD, MPH Department of Oncology Georgetown University Medical Center Lombardi Comprehensive Cancer Center Washington, DC. Research to Practice Gap. Bernhardt, Mays, & Kreuter, 2011. How will iADAPT help?.
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Evaluating Dissemination of AHRQ CER Products Darren Mays, PhD, MPH Department of Oncology Georgetown University Medical Center Lombardi Comprehensive Cancer Center Washington, DC
Research to Practice Gap Bernhardt, Mays, & Kreuter, 2011
How will iADAPT help? • Poised to make progress • What approaches work? For whom? In what settings/conditions? • Presents an evaluation challenge • Creative methods/approaches • Diverse populations • Different clinical areas • Need for a flexible evaluation framework
What is RE-AIM? • Evaluate public health impact • Focus on dissemination • Barriers include design, setting, approach • Impact assessed on multiple domains • RE-AIM domains: • Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance Glasgow, Vogt, & Boles, 1999; Glasgow, Lichtenstein, & Marcus, 2003
RE-AIM Domains • Reach • Did the CER products reach the intended population(s)? • Participation rate(s), characteristics, baseline “risk” • Efficacy/effectiveness • What is the impact on intended outcomes? • Clinical outcomes, CER product utilization, occurrence of harms/unintended consequences Refer to RE-AIM domains handout; Glasgow et al., 2006
RE-AIM Domains • Adoption • Did the intended units use the CER product(s)? • Participation and characteristics of setting(s), delivery agents, barriers to adoption • Implementation • Were the CER products implemented as intended? • Adherence, fidelity, technical success • Maintenance • What is the long-term impact of CER products? • Long-term efficacy/effectiveness, sustained implementation, barriers to long-term use Refer to RE-AIM domains handout; Glasgow et al., 2006
Determining Impact • Quantitatively determining impact • Original application • Reach x Efficacy = Impact • RE-AIM overall impact • Product of all 5 domains • Requires quantifiable measures Glasgow, Vogt, Boles, 1999; Glasgow et al. 2006
Application to iADAPT? Adapted from Glasgow et al., 2001
A Closer Look Clinic Kiosk Web Portal R: n = 1,000 patientsPoor diabetes control E: Medium effect size2,500 CERSGs (~2.5/pt.) A: 100% of clinics I: 75% completion rate Few technical problems M: Minimal maintenanceLow-cost to direct patients • R: n = 200 patientsWell-controlled diabetes • E: Small effect size200 CERSGs (~1/pt.) • A: 75% of clinics • I: 50% completion rate Technical problems • M: Few support resourcesLimited patient interest
Conclusions • A flexible evaluation framework • Multi-domain evaluation approach • Identify facilitators, barriers, and future directions • Creative approaches may be needed!
RE-AIM Resources • NCI DCCPS web site for RE-AIM • http://cancercontrol.cancer.gov/IS/REAIM • Resources include: • Figures/graphics illustrating key concepts • Checklists and planning tools • Example measures • Publications, presentation
References Bernhardt, JM, Mays, D, & Kreuter, MW. (2011). Dissemination 2.0: Closing the gap between knowledge and practice with new media. J Health Comm, 16(S1), 32-44 Glasgow, RE, Vogt, TM, & Boles, SM. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. AJPH, 89(9), 1322-1327 Glasgow, RE, et al. (2001). The RE-AIM framework for evaluating interventions: What can it tell us about approaches to chronic illness management. Patient Ed. & Counsel., 44, 119-127. Glasgow, RE, Lichtenstein, E, & Marcus, AC. (2003). Why don’t we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. AJPH, 93(8), 1261-1267 Glasgow, RE, et al. (2006). Using RE-AIM metrics to evaluate diabetes self-management support interventions. AJPM, 30(1), 67-73