Implementing for Sustainability: Promoting Use of a Measurement Feedback System for Innovation and Quality Improvement
- 862 Downloads
Measurement feedback systems (MFSs) are increasingly recognized as evidence-based treatments for improving mental health outcomes, in addition to being a useful administrative tool for service planning and reporting. Promising research findings have driven practice administrators and policymakers to emphasize the incorporation of outcomes monitoring into electronic health systems. To promote MFS integrity and protect against potentially negative outcomes, it is vital that adoption and implementation be guided by scientifically rigorous yet practical principles. In this point of view, the authors discuss and provide examples of three user-centered and theory-based principles: emphasizing integration with clinical values and workflow, promoting administrative leadership with the ‘golden thread’ of data-informed decision-making, and facilitating sustainability by encouraging innovation. In our experience, enacting these principles serves to promote sustainable implementation of MFSs in the community while also allowing innovation to occur, which can inform improvements to guide future MFS research.
KeywordsMeasurement feedback system Implementation Innovation Quality improvement Sustainability
This paper was partially supported by the National Institute of Mental Health of the National Institutes of Health under Award Number R01MH087814. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
- Amble, I., Gude, T., Stubdal, S., Just Andersen, B., & Wampold, B. E. (2014). The effect of implementing the Outcome Questionnaire-45.2 feedback system in Norway: A multisite randomized clinical trial in a naturalistic setting. Psychotherapy Research, 7, 1–9. doi: 10.1080/10503307.2014.928756.Google Scholar
- Bickman, L., Douglas, S., Vides de Andrade, A. R., Tomlinson, M., Gleacher, A., & Olin, S. (2014). Implementing a measurement feedback system: A tale of two sites. Manuscript under review. Google Scholar
- Carlier, I. V., Meuldijk, D., Van Vliet, I. M., Van Fenema, E., Van der Wee, N., & Zitman, F. G. (2012). Routine outcome monitoring and feedback on physical or mental health status: Evidence and theory. Journal of Evaluation in Clinical Practice, 18, 104–110. doi: 10.1111/j.1365-2753.2010.01543.x.CrossRefPubMedGoogle Scholar
- Chorpita, B. F., Bernstein, A. D., Daleiden, E. L., & The Research Network on Youth Mental Health. (2008). Driving with roadmaps and dashboards: Using information resources to structure the decision models in service organizations. Administration and Policy in Mental Health and Mental Health Services Research, 35, 114–123.CrossRefPubMedGoogle Scholar
- de Jong, K. (2014). Deriving effective implementation strategies for outcome monitoring from feedback theory. Administration and Policy in Mental Health, Current issue.Google Scholar
- Dorsey, S., Pullmann, M. D., Deblinger, E., Berliner, L., Kerns, S. E., Thompson, K., et al. (2013). Improving practice in community-based settings: A randomized trial of supervision—study protocol. Implementation Science, 8, 89. doi: 10.1186/1748-5908-8-89.
- Edbrooke-Childs, J., Wolpert, M., & Deighton, J. (2014). Using Patient Reported Outcome Measures to Improve Service Effectiveness (UPROMISE): A service evaluation of training for clinicians to use outcome measures in child mental health. Administration and Policy in Mental Health, Current issue.Google Scholar
- 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 National Implementation Research Network (FMHI Publication #231).Google Scholar
- Gresham, F. M. (2014). Measuring and analyzing treatment integrity data in research. In L. M. Hagermoser Sanetti & T. R. Kratochwill (Eds.), Treatment integrity: A foundation for evidence-based practice in applied psychology (pp. 109–130). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
- Hall, C. L., Taylor, J., Moldavsky, M., Marriott, M., Pass, S., Newell, K., et al. (2014). A qualitative process evaluation of electronic session-by-session outcome measurement in child and adolescent mental health services. BMC Psychiatry, 14, 113. doi: 10.1186/1471-244X-14-113.
- Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21st century. Washington, DC: National Academy Press.Google Scholar
- Lloyd, D. (October 29, 2013). Documentation linkage and utilization management for compliance. Webinar for the National Council. Available from www.nationalcouncil.org. Retrieved on February 24, 2014.
- Martin, A. M., Fishman, R., Baxter, L., & Ford, T. (2011). Practitioners’ attitudes towards the use of standardized diagnostic assessment in routine practice: A qualitative study in two child and adolescent mental health services. Clinical Child Psychology and Psychiatry, 16(3), 407–420.CrossRefPubMedGoogle Scholar
- Mellor-Clark, J., Cross, S., Macdonald, J., & Skjulsvik, T. (2014). Leading horses to water: Lessons from a decade of helping psychological therapy service use routine outcome measurement to improve practice. Administration and Policy in Mental Health, Current issue.Google Scholar
- Noell, G. H., & Gansle, K. A. (2014). The use of performance feedback to improve intervention implementation in schools. In L. M. Hagermoser Sanetti & T. R. Kratochwill (Eds.), Treatment integrity: A foundation for evidence-based practice in applied psychology (pp. 161–184). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
- Proctor, E. K., Landsverk, J., Aarons, G., Chambers, D., Glisson, D., & Mittman, B. (2009). Implementation research in mental health services: An emerging science with conceptual, methodological, and training challenges. Administration and Policy in Mental Health and Mental Health Services Research, 36(1), 24–34.CrossRefPubMedGoogle Scholar
- Riemer, M., & Bickman, L. (2011). Using program theory to link social psychology and program evaluation. In M. M. Mark, S. I. Donaldson, & B. Campbell (Eds.), Social psychology and program/policy evaluation. New York: Guilford.Google Scholar
- Riemer, M., Douglas Kelley, S., Casey, S., & Taylor Haynes, K. (2012). Developing effective research-practice partnerships for creating a culture of evidence-based decision making. Administration and Policy in Mental Health and Mental Health Services Research, 39(4), 248–257. Special Issue: Research Practice Partnerships.CrossRefPubMedGoogle Scholar
- Sexton, T. S., & Douglas Kelley, S. (2010). Finding the common core: Evidence-based practices, clinically relevant evidence, and mechanisms of change. Administration and Policy in Mental Health and Mental Health Services Research, 37(1–2), 81–88. Special Issue: Psychotherapy Practice in Usual Care.CrossRefPubMedGoogle Scholar
- Wolpert, M., Curtis-Tyler, K., & Edbrooke-Childs, J. (2014). A qualitative exploration of patient and clinician views on patient reported outcome measures in child mental health and diabetes services. Administration and Policy in Mental Health and Mental Health Services Research, doi: 10.1007/s10488-014-0586-9.