Partnering with health system operations leadership to develop a controlled implementation trial

Mark S Bauer, Christopher Miller, Bo Kim, Robert Lew, Kendra Weaver, Craig Coldwell, Kathy Henderson, Sally Holmes, Marjorie Nealon Seibert, Kelly Stolzmann, A Rani Elwy, JoAnn Kirchner, Mark S Bauer, Christopher Miller, Bo Kim, Robert Lew, Kendra Weaver, Craig Coldwell, Kathy Henderson, Sally Holmes, Marjorie Nealon Seibert, Kelly Stolzmann, A Rani Elwy, JoAnn Kirchner

Abstract

Background: Outcome for mental health conditions is suboptimal, and care is fragmented. Evidence from controlled trials indicates that collaborative chronic care models (CCMs) can improve outcomes in a broad array of mental health conditions. US Department of Veterans Affairs leadership launched a nationwide initiative to establish multidisciplinary teams in general mental health clinics in all medical centers. As part of this effort, leadership partnered with implementation researchers to develop a program evaluation protocol to provide rigorous scientific data to address two implementation questions: (1) Can evidence-based CCMs be successfully implemented using existing staff in general mental health clinics supported by internal and external implementation facilitation? (2) What is the impact of CCM implementation efforts on patient health status and perceptions of care?

Methods/design: Health system operation leaders and researchers partnered in an iterative process to design a protocol that balances operational priorities, scientific rigor, and feasibility. Joint design decisions addressed identification of study sites, patient population of interest, intervention design, and outcome assessment and analysis. Nine sites have been enrolled in the intervention-implementation hybrid type III stepped-wedge design. Using balanced randomization, sites have been assigned to receive implementation support in one of three waves beginning at 4-month intervals, with support lasting 12 months. Implementation support consists of US Center for Disease Control's Replicating Effective Programs strategy supplemented by external and internal implementation facilitation support and is compared to dissemination of materials plus technical assistance conference calls. Formative evaluation focuses on the recipients, context, innovation, and facilitation process. Summative evaluation combines quantitative and qualitative outcomes. Quantitative CCM fidelity measures (at the site level) plus health outcome measures (at the patient level; n = 765) are collected in a repeated measures design and analyzed with general linear modeling. Qualitative data from provider interviews at baseline and 1 year elaborate CCM fidelity data and provide insights into barriers and facilitators of implementation.

Discussion: Conducting a jointly designed, highly controlled protocol in the context of health system operational priorities increases the likelihood that time-sensitive questions of operational importance will be answered rigorously and that the outcomes will result in sustainable change in the health-care system.

Trial registration: NCT02543840 ( https://www.clinicaltrials.gov/ct2/show/NCT02543840).

Figures

Fig. 1
Fig. 1
We hypothesize that REP-F implementation support will enhance the establishment of CCM processes within the BHIP teams (H1), which will then result in improved health outcomes for patients (H2)
Fig. 2
Fig. 2
This figure illustrates the stepped wedge for one of the three external facilitators, who will work with three facilities over the course of the study. Black dots represent times of health status assessment for patients. Provider interviews and administrative data measure collection occur at the beginning of implementation and at the end of the step-down period
Fig. 3
Fig. 3
As outlined in the text, this application of REP-F emphasizes the steps of team-building, identification of common goals based on local and national priorities, and process redesign as keys to eventual sustainment of system change. The steps are illustrated sequentially, but the process is iterative and nonlinear [41, 42]

References

    1. Kessler RC, Wang PS. The descriptive epidemiology of commonly occurring mental disorders in the United States. Ann Rev Public Health. 2008;29:115–29. doi: 10.1146/annurev.publhealth.29.020907.090847.
    1. Hogan MF. New freedom commission report: the President’s new freedom commission: recommendations to transform mental health care in America. Psychiatr Serv. 2003;54:1467–74. doi: 10.1176/appi.ps.54.11.1467.
    1. Watkins KE, Pincus HA, Paddock S, Smith B, Woodroffe A, Farmer C, et al. Care for veterans with mental and substance use disorders: good performance, but room to improve on many measures. Health Aff. 2011;30:2194–203.
    1. Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness. Milbank Q. 1996;74:511–44. doi: 10.2307/3350391.
    1. Von Korff M, Gruman J, Schaefer J, Curry SJ, Wagner EH. Collaborative management of chronic illness. Ann Intern Med. 1997;127:1097–102. doi: 10.7326/0003-4819-127-12-199712150-00008.
    1. Chronic illness management. . Accessed 9/25/2015.
    1. Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, part 1. JAMA. 2002;288:1775–9. doi: 10.1001/jama.288.14.1775.
    1. Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, part 2. JAMA. 2002;288:1909–14. doi: 10.1001/jama.288.15.1909.
    1. Coleman K, Austin BT, Brach C, Wagner EH. Evidence on the chronic care model in the new millennium. Health Aff. 2009;28:75–85. doi: 10.1377/hlthaff.28.1.75.
    1. Badamgarav E, Weingarten SR, Henning JM, Knight K, Hasselblad V, Gano A, Jr, et al. Effectiveness of disease management programs in depression. Am J Psychiatry. 2003;160:2080–90. doi: 10.1176/appi.ajp.160.12.2080.
    1. Gilbody S, Bower P, Fletcher J, Richards D, Sutton AJ. Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes. Arch Intern Med. 2006;166:2314–21. doi: 10.1001/archinte.166.21.2314.
    1. Croghan TW, Brown JD. Integrating mental health treatment into the patient centered medical home. Rockville (MD): Agency for Healthcare Research and Quality; 2010.
    1. Rubenstein LV, Chaney EF, Ober S, Felker B, Sherman SE, Lanto A, et al. Using evidence-based quality improvement methods for translating depression collaborative care research into practice. Fam Syst Health. 2010;28:91–113. doi: 10.1037/a0020302.
    1. Yatham LN, Kennedy SH, O’Donovan C, Parikh SV, MacQueen G, McIntyre RS, Sharma V, Beaulieu S. Canadian network for mood and anxiety treatments (CANMAT) guidelines for the management of patients with bipolar disorder: update 2007. Bipolar Disord. 2006;8:721–39. doi: 10.1111/j.1399-5618.2006.00432.x.
    1. Department of Veterans Affairs. Department of Defense . Clinical practice guidelines for management of bipolar disorder in adults, version 2.0. Washington (DC): Department of Veterans Affairs Office of Quality and Performance & US Army MEDCOM Quality Management Division; 2009.
    1. USDHHS substance abuse and mental health administration national registry of evidence-based programs and practices (NREPP). . Accessed 21 Aug 2014.
    1. Woltmann E, Grogan-Kaylor A, Perron B, Georges H, Kilbourne AM, Bauer MS. Comparative effectiveness of collaborative chronic care models for mental health conditions across primary, specialty, and behavioral health settings: systematic review and meta-analysis. Am J Psychiatry. 2012;169:790–804. doi: 10.1176/appi.ajp.2012.11111616.
    1. Miller CJ, Grogan Kaylor A, Perron BP, Woltmann E, Kilbourne AM, Bauer MS. Collaborative chronic care models for mental health conditions: cumulative meta-analysis and meta-regression to guide future research and implementation. Med Care. 2013;51:922–30. doi: 10.1097/MLR.0b013e3182a3e4c4.
    1. Bauer MS, McBride L, Williford WO, Glick HA, Kinosian B, Altshuler L, et al. Collaborative care for bipolar disorder: parts I&II. Intervention and implementation in a randomized effectiveness trial. Psychiatr Serv. 2006;57:927-36 & 937-45.
    1. Simon GE, Ludman EJ, Bauer MS, Unützer J, Operskalski B. Long-term effectiveness and cost of a systematic care program for bipolar disorder. Arch Gen Psychiatry. 2006;63:500–8. doi: 10.1001/archpsyc.63.5.500.
    1. Westfall JM, Mold J, Fagnan L. Practice-based research—“blue highways” on the NIH roadmap. JAMA. 2007;297:403–6. doi: 10.1001/jama.297.4.403.
    1. Proctor EK, Landsverk J, Aarons G, Chambers D, Glisson C, Mittman B. Implementation research in mental health services: an emerging science with conceptual, methodological, and training challenges. Admin Policy Ment Health. 2009;36:24–34. doi: 10.1007/s10488-008-0197-4.
    1. Veterans Health Administration . Uniform mental health services handbook. Washington (DC): The Administration; 2008.
    1. BHIP technical assistance sharepoint. VA Office of Mental Health Operations, 2013. Accessed. 21 Aug 2014.
    1. Stetler CB, Mittman BS, Francis J. Overview of the VA Quality Enhancement Research Initiative (QUERI) and QUERI theme articles: QUERI series. Implement Sci. 2008;3:8. doi: 10.1186/1748-5908-3-8.
    1. Curran GM, Bauer MS, Mittman BS, Pyne JM, Stetler CB. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50:217–26. doi: 10.1097/MLR.0b013e3182408812.
    1. Neumann MS, Sogolow ED. Replicating effective programs: HIV/AIDS prevention technology transfer. AIDS Educ Prev. 2000;12(Suppl 5):35–48.
    1. Kirchner JE, Ritchie MJ, Pitcock JA, Parker LE, Curran GM, Fortney JC. Outcomes of a partnered facilitation strategy to implement primary care-mental health. J Gen Intern Med. 2014;29(Suppl 4):904–12. doi: 10.1007/s11606-014-3027-2.
    1. Kilbourne AM, Neumann MS, Pincus HA, Bauer MS, Stall R. Implementing evidence-based interventions in health care: application of the replicating effective programs framework. Implement Sci. 2007;2:42. doi: 10.1186/1748-5908-2-42.
    1. Harvey G, Kitson A. Implementing evidence-based practice in healthcare: a facilitation guide. London: Routledge; 2015.
    1. Yates MA. Incomplete randomized blocks. Annals of Eugenics. 1936;7:121–40. doi: 10.1111/j.1469-1809.1936.tb02134.x.
    1. Fisher RA. An examination of the different possible solutions of a problem in incomplete blocks. Annals of Eugenics. 1940;10:52–75. doi: 10.1111/j.1469-1809.1940.tb02237.x.
    1. Parchman ML, Noel PH, Culler SD, Lanham HJ, Leykum LK, Romero RL, et al. A randomized trial of practice facilitation to improve the delivery of chronic illness care in primary care. Implement Sci. 2013;8:93. doi: 10.1186/1748-5908-8-93.
    1. Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007;28:182–91. doi: 10.1016/j.cct.2006.05.007.
    1. Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006
    1. King G, Gakidou E, Ravishankar N, Moore RT, Lakin J, Vargas M, et al. A “politically robust” experimental design for public policy evaluation, with application to the Mexican universal health insurance program. J Policy Anal and Manage. 2007;26:479–506. doi: 10.1002/pam.20279.
    1. Kazis LE, Miller DR, Skinner KM, Lee A, Ren XS, Clark JA, et al. Applications of methodologies of the Veterans Health Study in the VA health care system: conclusions and summary. J Ambul Care Manage. 2006;29:182–8. doi: 10.1097/00004479-200604000-00011.
    1. Simon R. Restricted randomization designs in clinical trials. Biometrics. 1979;35:503–12. doi: 10.2307/2530354.
    1. Pocock SJ, Simon R. Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial. Biometrics. 1975;31:103–15. doi: 10.2307/2529712.
    1. Suresh KP. An overview of randomization techniques: an unbiased assessment of outcome in clinical research. J Hum Reprod Sci. 2011;4:8–11. doi: 10.4103/0974-1208.82352.
    1. Jordan ME, Lanha HJ, Crabtree BF, Nutting PA, Miller WL, Stange KC, et al. The role of conversation in health care interventions: enabling sensemaking and learning. Implement Sci. 2009;4:15. doi: 10.1186/1748-5908-4-15.
    1. Plesk P. Institute of Medicine. Crossing the Quality Chasm: A new health system for the 21st century. Washington, DC: National Academy Press; 2001. Redesigning health care with insights from the science of complex adaptive systems; pp. 309–22.
    1. Varkey P, Reller M, Resar R. Basics of quality improvement in health care. Mayo Clinic Proc. 2007;82:735–9. doi: 10.1016/S0025-6196(11)61194-4.
    1. Stetler CB, Damschroder LJ, Helfrich CD, Hagedorn HJ. A guide for applying a revised version of the PARiHS framework for implementation. Implement Sci. 2011;6:99. doi: 10.1186/1748-5908-6-99.
    1. Stetler CB, Legro MW, Wallace CM, Bowman C, Guihan M, Hagedorn H, et al. The role of formative evaluation in implementation research and the QUERI experience. J Gen Intern Med. 2006;21(Suppl 2):s1–8. doi: 10.1007/s11606-006-0267-9.
    1. Gugiu PC, Coryn C, Clark R, Kuehn A. Development and evaluation of the short version of the patient assessment of chronic illness care instrument. Chronic Illn. 2009;5:268–76. doi: 10.1177/1742395309348072.
    1. Selim AJ, Rogers W, Fleishman JA, Qian SX, Fincke BG, Rothendler JA, et al. Updated Qual Life Res. 2009;18:43-52.
    1. Nabati L, Shea N, McBride L, Gavin C, Bauer MS. Adaptation of a simple patient satisfaction instrument to mental health: psychometric properties. Psychiatry Res. 1998;77:51–6. doi: 10.1016/S0165-1781(97)00122-4.
    1. Stevanovic D. Quality of Life Enjoyment and Satisfaction Questionnaire—short form for quality of life assessments in clinical practice: a psychometric study. J Psychiatr and Ment Health Nurs. 2011;18:744–50. doi: 10.1111/j.1365-2850.2011.01735.x.
    1. Diggle P, Heagerty P, Liang K-Y, Zeger S. Analysis of longitudinal data. 2. New York: Oxford Statistical Science; 2013.
    1. Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G, editors. Longitudinal data analysis. Boca Raton: Taylor & Francis; 2009.
    1. Verbeke G, Molenberghs G. Linear mixed models for longitudinal data. New York: Springer; 2009.
    1. Daniels MJ, Hogan W. Missing data in longitudinal studies. Boca Raton: Chapman & Hall; 2008.
    1. Rybin D, Doros G, Rosenheck R, Lew RA. The impact of missing data on results of a schizophrenia study. Pharm Stat. 2015;14:4–10. doi: 10.1002/pst.1651.
    1. D’Agostino RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998;17:2265–81. doi: 10.1002/(SICI)1097-0258(19981015)17:19<2265::AID-SIM918>;2-B.
    1. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15:1277–88. doi: 10.1177/1049732305276687.
    1. Miles MB, Huberman AM. Qualitative data analysis: an expanded sourcebook. Thousand Oaks: Sage; 1994.
    1. Fetters MD, Curry LA, Creswell JW. Achieving integration in mixed methods designs-principles and practices. Health Serv Res. 2013;48:2134–56. doi: 10.1111/1475-6773.12117.
    1. MacQueen KM, McLellan E, Kay K, et al. Codebook development for team-based qualitative analysis. Cultural Anthropology Methods. 1998;10:31–6.
    1. Utarini A, Winkvist A, Pelto GH. Appraising studies in health using rapid assessment procedures (RAP): eleven critical criteria. Hum Organ. 2001;60:390–400. doi: 10.17730/humo.60.4.3xu3p85amf13avtp.
    1. Maguire E, Elwy AR, Bokhour BG, Gifford AL, Asch SM, Wagner TH, Gallagher TH, Durfee JM, Martinello RA. Communicating large scale adverse events: lessons from media reactions to risk. Providence, RI: American Academy on Communication in Healthcare Forum; 2012.
    1. Powell BJ, McMillen JC, Proctor EK, Carpenter CR, Griffey RT, Bunger AC, et al. A compilation of strategies for implementing clinical innovations in health and mental health. Med Care Res Rev. 2012;69:123–57. doi: 10.1177/1077558711430690.
    1. Glick HA, Kinosian B, McBride L, Williford WO, Bauer MS. Clinical nurse specialist care managers’ time commitments in a disease management program for bipolar disorder. Bipolar Disord. 2004;6:452–9. doi: 10.1111/j.1399-5618.2004.00159.x.
    1. Charns MP, Egede LE, Rumsfeld JS, McGlynn GC, Yano EM. Advancing partnered research in the VA healthcare system: the pursuit of increased research engagement, responsiveness, and impact. J Gen Intern Med. 2014;29(Suppl 4):s811–3. doi: 10.1007/s11606-014-3060-1.
    1. Selby JV, Slutsky JR. Practicing partnered research. J Gen Intern Med. 2014;29(Suppl 4):s814–6. doi: 10.1007/s11606-014-3046-z.
    1. Solberg LI, Crain AL, Jaeckels N, Ohnsorg KA, Margolis KL, Beck A, et al. The DIAMOND initiative: implementing collaborative care for depression in 75 primary care clinics. Implement Sci. 2013;8:135. doi: 10.1186/1748-5908-8-135.
    1. Wolff JL, Boult C. Moving beyond round pegs and square holes: restructuring Medicare to improve chronic care. Ann Intern Med. 2005;143:439–45. doi: 10.7326/0003-4819-143-6-200509200-00008.
    1. Bao Y, Casalino LP, Ettner SL, Bruce ML, Solberg LI, Unutzer J. Designing payment for collaborative care for depression in primary care. Health Serv Res. 2011;46:1436–51. doi: 10.1111/j.1475-6773.2011.01272.x.
    1. Bauer MS, Williford WO, Dawson EE, Akiskal HS, Altshuler L, Fye C, et al. Principles of effectiveness trials and their implementation in VA Cooperative Study #430: ‘reducing the efficacy-effectiveness gap in bipolar disorder’. J Affect Dis. 2001;67:61–78. doi: 10.1016/S0165-0327(01)00440-2.

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