Implementation for the Masses UNC Implementation Science Student Group Dean Fixsen, Karen Blase, Melissa Van Dyke, Allison Metz National Implementation Research Network FPG Child Development Institute University of North Carolina at Chapel Hill Implementation Science Science to Service Gap ! Past – Before 2005 ! Present – 2005-2015 ! Future – Starts today Implementation Defined Science to Service Gap Implement = Use ! ! I mplementation Science = the study of factors that influence the full and effective use of innovations in practice ! The goal is not to answer factual questions about what is, but rather to produce evidence for what is required (invent the future) Implementation Science Eisenhower: National System of Interstate and Defense Highways (1956) • Goal of 21,185 miles (50%) reached in 1966 Kennedy: Decision to send astronauts to the moon and return them safely (1961) • Goal reached in 1969 Johnson: Great Society Programs (1964) • Goals not reached yet in 2014 Implementation Science Human services involve interactionbased sciences and services • Inherently more complex than atombased sciences – e.g., atom-based ingredients don’t change from one engineer to the next or change overnight or decide to quit National Assessment of Education Progress (NAEP) Churning Around a Mediocre Mean Original and Revised Assessment Formats Federal SPENDING on K-12 Education and NAEP READING Scores (Age 9) It’s not (just) the money or top-down support! Implementation Science Convergence in the new millennium 1. Innovation science 2. Implementation science 3. Improvement science 4. Complexity theory Implementation Science Innovation science • Rigor and relevance of data re WHAT to do – “Evidence-based” programs and innovations Implementation Science A key lesson from the Great Society is that the effects of social programs in practice hover near zero, a devastating discovery for social reformers – Rigorous data supporting effective innovations are necessary but not sufficient Rossi and Wright (1984) Implementation Science Implementation Science (get started) and Improvement Science (get better) • HOW to assure the full, effective, and consistent use of innovations in practice • HOW to resolve issues of fit and function (innovation, delivery, organizations, systems) – never ends! Implementation Science Complexity Theory • Interactions among moving parts • Emergent adaptation • Plan for the unexpected • Large scale change in real time E Pluribus Unum • Summaries of literature in any domain including agriculture, business, child welfare, complexity theory, computer science, engineering, health, juvenile justice, manufacturing, medicine, mental health, nursing, social services, and others • Summaries of best practices by experts doing implementation work successfully • Synthesis of over 40 implementation and evaluation frameworks Convergence Effective Innovations Effective Implementation Socially Significant Outcomes Enabling Contexts Convergence: Active Implementation Frameworks ! ! ! ! ! ! Usable Innovations Implementation Stages Implementation Drivers Improvement Cycles Implementation Teams Enabling Change Implementation Benefits Haphazard Implementation Informed Training Benefits 5 - 15% use in 80 - 95% use in 8 X More Fidelity of use in practice 3 X More practice practice (coaching) 29% EBP 81% EBP outcomes if low fidelity use outcomes if use meets criteria Implementation Team 4 X More 18% fidelity with 83% fidelity if no/poor Drivers Drivers at criteria Training + Coaching + Fidelity 3 X More 22% staff retained 58% staff retained 3+ yrs. Competency + 17% sustain 6+ Organization Drivers yrs. 5 X More 3+ yrs. 84% sustain 6+ yrs. Zone of Complexity Stacey (1996) Implementation Science • Letting it happen – Recipients are accountable • Helping it happen – Recipients are accountable • Making it happen – Purposeful use of implementation practice and science – Implementation Teams are accountable Based on Hall & Hord (1987); Greenhalgh, Robert, MacFarlane, Bate, & Kyriakidou (2004); Fixsen, Blase, Duda, Naoom, & Van Dyke (2010) Implementation Science Approaches to implementation of innovations in 376 organizations (public, private, profit, non-profit) Approach Intervention/ Facilitation Participation/ Internal Team Persuasion Edict Usage Success Months 8% 87% 14 18% 73% 16 37% 37% 47% 35% 21 15 Nutt (2001) Implementation Science Approaches to implementation of innovations in 376 organizations (public, private, profit, non-profit) Approach Intervention/ Facilitation Lead and Participation/ Support Internal Team Persuasion Tell and EdictSell Usage Success Months 8% 87% 14 18% 73% 16 37% 37% 47% 35% 21 15 Nutt (2001) Implementation Teams Teams ! Minimum of three people (four or more preferred) with expertise in: ! Operationalizing innovations ! Using implementation methods effectively ! Helping organizations change ! Tolerate turnover; teams are sustainable even when the players come and go (Higgins, Weiner, & Young, 2012; Klest & Patras, 2011) Implementation Teams Teams Prepare Practitioners and Staff Prepare Organizations Prepare Regions 80% Implementation Team Patients and Work with Researchers Stakeholders Create Readiness Prochaska, Prochaska, & Levesque (2001) Assure Intended Benefits 20% Assure Implementation © Fixsen & Blase, 2009 Implementation Teams Teams Implementation Team Simultaneous, Multi-Level Interventions Practitioner/Staff Competence Organization Supports Management (leadership, policy) Administration (HR, structure) Supervision (nature, content) Regional Authority Supports State/Community Supports Federal and National Supports Improvement Cycles Teams Implementation and Innovations Rapid cycle (PDSA) problem solving ! ! Shewhart (1931); Deming (1986) Usability testing ! ! Rubin (1994); Nielsen (2000) Improvement Cycles Teams Nielsen (2000) Improvement Cycles Usability Testing Teams • A planned series of tests of an innovation or of implementation processes. • Use proactively to test the feasibility and impact of a new way of work prior to rolling out the innovation or implementation processes more broadly More is learned from 4 cycles with 5 participants each than from 1 pilot test with 20 participants Implementation Teams Teams INNOVATION IMPLEMENTATION Effective Expert Impl. Team NO Impl. Team 80%, 3 Yrs 14%, 17 Yrs Effective use of Letting it Happen Implementation Helping it Happen Science & Practice Fixsen, Blase, Timbers, & Wolf, 2001 Saldana & Chamberlain, 2012 Balas & Boren, 2000 Green, 2008 The Nature of Systems "All organizations [and systems] are designed, intentionally or unwittingly, to achieve precisely the results they get.” …R. Spencer Darling Human Services are not improving as fast as problems are changing. The Nature of Systems • Innovative practices do not fare well in existing organizational structures and systems (crushed by established routines) • Organizational and system changes are essential to successful use of innovations – Expect it – Plan for it Enabling Contexts Existing System Effective Innovations Are Changed to Fit The System Existing System Is Changed To Support The Effectiveness Of The Innovation Effective Innovation Creating Enabling Contexts • Cannot change everything at once (too big; too complex; too many of them and too few of us) • Cannot stop and re-tool (have to create the new in the midst of the existing) • Cannot know what to do at every step (we will know it when we get there) • Many outcomes are not predictable (who knew!?) ♦Look for Faulty Assumptions & Errors; ♦Make Needed Changes; ♦Invite System to Respond Implementation Team Practitioners Innovations Children/Families Practice Policy Communication Loop Policy Makers & Administrators Policy Enabled Practice “The fault cannot lie in the part responsible for the repair.” Ashby (1956) “External” System Change Support Creating Enabling Contexts Implementation Team Practitioners Innovations Children/Families Practice Policy Communication Loop System Change Policy Makers & Administrators Policy Enabled Practice “The fault cannot lie in the part responsible for the repair.” Ashby (1956) “External” System Change Support Creating Enabling Contexts Adaptive Challenges • Duplication • Fragmentation • Hiring criteria • Salaries • Credentialing • Licensing • Time/ scheduling • Union contracts • RFP methods • Federal/ State laws Regional Entity RIT Municipality MIT Local Agency LIT Practitioners Innovations Beneficiaries Practice-Policy Communication Loop Executive Management Team Policy Enabled Practice “The fault cannot lie in the part responsible for the repair.” Ashby (1956) “External” System Change Support Implementation Infrastructure State and Regional Capacity Assessment State Capacity Assessment: Fixsen, Duda, Blase and Horner, 2009 System Reinvention • Stop wasting time and money on things that don’t work (and never have!) – Sugai’s Law: For every new initiative, stop two current ones that have poor outcomes – De-scale; Avoid layering and fragmentation • Set aside 20% of funds for implementation • Require quarterly reports of fidelity data Implementation Science A fundamental truth: • People cannot benefit from innovations they do not experience Formula for Success Effective Innovations Effective Implementation Socially Significant Outcomes Enabling Contexts Active Implementation Frameworks ! ! ! ! ! ! Usable Innovations Implementation Stages Implementation Drivers Improvement Cycles Implementation Teams Enabling Change National Assessment of Education Progress (NAEP) Leverage Visible Improvements! Effective Interventions Effective Implementation Enabling Contexts Educationally Significant Outcomes Original and Revised Assessment Formats Science to Service Gap Implementation Science ! here is sufficient information to T support a rapidly evolving science of implementation ! n the verge of creating a virtuous O circle where evidence-based implementation practice improves implementation science that improves implementation practice … GIC May 26-28, 2015 Dublin, Ireland www.globalimplementation.org Melissa Van Dyke Allison Metz [email protected] [email protected] Frank Porter Graham Child Development Institute University of North Carolina Chapel Hill, NC http://nirn.fpg.unc.edu/ www.scalingup.org www.globalimplementation.org Implementation Research: A Synthesis of the Literature Fixsen, D. L., Naoom, S. F., Blase, K. A., Friedman, R. M. & Wallace, F. (2005). Implementation Research: A Synthesis of the Literature. Tampa, FL: University of South Florida, Louis de la Parte Florida Mental Health Institute, The National Implementation Research Network (FMHI Publication #231). HTTP://NIRN.FPG.UNC.EDU Get Connected! www.scalingup.org @SISEPcenter SISEP For more on Implementation Science http://nirn.fpg.unc.edu www.globalimplementation.org • Aarons, G. A., Sommerfeld, D. H., Hecht, D. B., Silovsky, J. F., & Chaffin, M. J. (2009). The impact of evidencebased practice implementation and fidelity monitoring on staff turnover: Evidence for a protective effect. Journal of Consulting and Clinical Psychology, 77(2), 270-280. doi: 10.1037/a0013223 • Ashby, W. R. (1956). An introduction to cybernetics. London: Chapman & Hall. • Balas, E. A., & Boren, S. A. (2000). Managing clinical knowledge for health care improvement. In J. Bemmel & A. T. McCray (Eds.), Yearbook of Medical Informatics 2000: Patient-Centered Systems. (pp. 65-70). Stuttgart, Germany: Schattauer Verlagsgesellschaft. • Deming, W. E. (1986). Out of the crisis. Cambridge, MA: MIT Press. • Elmore, R. (2002). Bridging the gap between standards and achievement: The imperative for professional development in education. Washington, DC: The Albert Shanker Institute. • Fixsen, D. L., Blase, K. A., Timbers, G. D., & Wolf, M. M. (2001). In search of program implementation: 792 replications of the Teaching-Family Model. In G. A. Bernfeld, D. P. Farrington & A. W. Leschied (Eds.), Offender rehabilitation in practice: Implementing and evaluating effective programs (pp. 149-166). London: Wiley. • Fixsen, D. L., Blase, K., Duda, M., Naoom, S., & Van Dyke, M. (2010). Implementation of evidence-based treatments for children and adolescents: Research findings and their implications for the future. In J. Weisz & A. Kazdin (Eds.), Implementation and dissemination: Extending treatments to new populations and new settings (2nd ed., pp. 435-450). New York: Guilford Press. • Green, L. W. (2008). Making research relevant: if it is an evidence-based practice, where’s the practice-based evidence? Family Practice, 25, 20-24. • Greenhalgh, T., Robert, G., MacFarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly, 82(4), 581-629. • Grigg, W. S., Daane, M. C., Jin, Y., & Campbell, J. R. (2003). The nation's report card: Reading 2002. Washington, DC: U.S. Department of Education, Institute of Education Sciences. • Higgins, M., Weiner, J., & Young, L. (2012). Implementation teams: A new lever for organizational change. Journal of Organizational Behavior. doi:10.1002/job.1773 • Joyce, B., & Showers, B. (2002). Student achievement through staff development (3rd ed.). Alexandria, VA: Association for Supervision and Curriculum Development. • Kutner, M., Greenberg, E., Jin, Y., Boyle, B., Hsu, Y., & Dunleavy, E. (2007). Literacy in everyday life: Results from the 2003 National Assessment of Adult Literacy (NCES 2007–480). Washington, DC: U.S. Department of Education, National Center for Education Statistics. • Linehan, M. M., Dimeff, L. A., Reynolds, S. K., Comtois, K., Welch, S. S., Heagerty, P., & Kivlahan, D. R. (2002). Dialectical Behavior Therapy Versus Comprehensive Validation Therapy Plus 12-Step for the Treatment of Opioid Dependent Women Meeting Criteria for Borderline Personality Disorder. Drug and Alcohol Dependence, 67(1). doi: 10.1016/S0376-8716(02)00011-X • Kivlahan, D. R. (2002). Dialectical Behavior Therapy Versus Comprehensive Validation Therapy Plus 12-Step for the Treatment of Opioid Dependent Women Meeting Criteria for Borderline Personality Disorder. Drug and Alcohol Dependence, 67(1). doi: 10.1016/S0376-8716(02)00011-X • Marzano, R., Waters, T., & McNulty, B. (2005). School leadership that works: From research to results. Alexandria, VA: Association for Supervision and Curriculum Development (ASCD). • Metz, A., Bartley, L., Ball, H., Wilson, D., Naoom, S., & Redmond, P. (2014). Active Implementation Frameworks (AIF) for successful service delivery: Catawba County child wellbeing project. Research on Social Work Practice, 1-8. doi: 10.1177/1049731514543667 • Morgan, G., & Ramirez, R. (1983). Action learning: A holographic metaphor for guiding social change. Human Relations, 37(1), 1-28. • Nielsen, J. (2000). Why you only need to test with 5 users. Retrieved April 22, 2007, from http://www.useit.com/ alertbox/20000319.html. • Nutt, P. (2002). Why decisions fail: Avoiding the blunders and traps that lead to debacles. San Francisco: BerrettKoehler Publishers Inc. • Nutt, P. C. (2001). Contingency approaches applied to the implementation of strategic decisions. International Journal of Business, 6(1), 53-84. • Pressman, J. L., & Wildavsky, A. (1973). Implementation: How Great Expectations in Washington are Dashed in Oakland. Berkeley, CA: University of California Press. • Rhim, L. M., Kowal, J. M., Hassel, B. C., & Hassel, E. A. (2007). School turnarounds: A review of the cross-sector evidence on dramatic organizational improvement. Lincoln, IL: Public Impact, Academic Development Institute. • Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4, 155-169. • Saetren, H. (2005). Facts and myths about research on public policy implementation: Out-of-fashion, allegedly dead, but still very much alive and relevant. The Policy Studies Journal, 33(4), 559-582. • Saldana, L., Chamberlain, P., Wang, W., & Brown, H. C. (2012). Predicting program start-up using the stages of implementation measure. Administration and Policy in Mental Health, 39(6), 419-425. doi: 10.1007/ s10488-011-0363-y • Schofield, J. (2004). A model of learned implementation. Public Administration, 82(2), 283-308. • Stacey, R. D. (1996). Complexity and creativity in organizations. San Francisco: Berrett-Koehler Publishers. • Strouse, M. C., Carroll-Hernandez, T. A., Sherman, J. A., & Sheldon, J. B. (2004). Turning Over Turnover: The Evaluation of a Staff Scheduling System in a Community-Based Program for Adults with Developmental Disabilities. Journal of Organizational Behavior Management, 23(2), 45-63. • Sundell, K., Soydan, H., Tengvald, K., & Anttila, S. (2009). From opinion-based to evidence-based social work: The Swedish case. Research on Social Work Practice. doi: 10.1177/1049731509347887 • Vernez, G., Karam, R., Mariano, L. T., & DeMartini, C. (2006). Evaluating comprehensive school reform models at scale: Focus on implementation. Santa Monica, CA: RAND Corporation. ©Copyright Dean Fixsen and Karen Blase This content is licensed under Creative Commons license CC BYNC-ND, Attribution-NonCommercial-NoDerivs. You are free to share, copy, distribute and transmit the work under the following conditions: Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work); Noncommercial — You may not use this work for commercial purposes; No Derivative Works — You may not alter or transform this work. Any of the above conditions can be waived if you get permission from the copyright holder. http://creativecommons.org/licenses/by-nc-nd/3.0
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