Systems Science & Team Science Abundance, Joy & Transformation Kurt C. Stange, MD, PhD Professor of Family Medicine & Community Health, Epidemiology & Biostatistics, Oncology and Sociology Case Western Reserve University American Cancer Society Clinical Research Professor Editor, Annals of Family Medicine www.AnnFamMed.org Promoting Health Across Boundaries www.PHAB.us NCI Division of Cancer Control & Population Sciences via IPA
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Systems Science & Team Science Abundance, Joy & Transformation
Kurt C. Stange, MD, PhD Professor of Family Medicine & Community Health,
Epidemiology & Biostatistics, Oncology and Sociology Case Western Reserve University
American Cancer Society Clinical Research Professor Editor, Annals of Family Medicine www.AnnFamMed.org
Promoting Health Across Boundaries www.PHAB.us NCI Division of Cancer Control & Population Sciences via IPA
Barr VJ, Robinson S, Marin-Link B, Underhill L, Dotts A, Ravensdale D, Salivaras S. The expanded Chronic Care Model: an integration of concepts and strategies from population health promotion and the Chronic Care Model. Hosp. Q. 2003;7:73-82.
• Relative advantage in effectiveness • Compatibility with intended users’ values, norms, needs • Low complexity – as perceived by key stakeholders • Trialability –user can experiment on a limited basis • Observability of the benefits visible to the user • Potential for reinvention and spread through informal,
decentralized, horizontal social networks.” • Fuzzy boundaries Complex interventions with an
irreducible core and a ‘soft’ periphery of organizational structures and systems that aid implementation.
• Risk ratios benefits for powerbase outweigh risks. • Task relevance for key mission and functions. • Technical support that augments existing approaches • Tacit knowledge is less important than explicit
knowledge for implementation.
Features of Easily Adopted Innovations
Adapted from Greenhalgh et al. Milbank Q. 2004
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External inf luences on changeoption landscape
Motiv ation, Innov ation &Independence
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Evaluating & exercising choices for change
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Motivation ofkey stakeholders
Resourcesfor change
OutsideMotivators
Choices forChange
Baseline
Follow-up
Co-evo
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Cohen D, McDaniel RR, Crabtree BF, et al. A practice change model for quality improvement in primary care practice. J Healthc Manag, 2004; 49:155-170.
An Ecological (Panarchy) Framework
Gunderson LH, Holling CS, eds. Panarchy: understanding transformations in human and natural systems. Washington, DC: Island Press; 2002.
Stange KC. Making sense of health care transformation as adaptive-renewal cycles. Ann Fam Med, 2009; 7: 484-487.
A D&I Line Investigation that stumbled onto a systems
science approach
DOPCDirect Observation of Primary Care (NCI, RWJF: 1994-97)
SCOPESupporting Colorectal Cancer Outcomes through Participatory Enhancements(NCI: 2005-2011)
P&CDPrevention & Competing Demands in Primary Care (AHRQ: 1996-99)
Observational StudiesSTEP-UPStudy To Enhance Prevention by Understanding Practice (NCI: 1997-2000)
ULTRAUsing Learning Teams for Reflective Adaptation (NHLBI: 2002-07)
Intervention Studies
EPOCHSEnhancing Practice Outcomes through Community and Healthcare Systems (NCI: 2004-11)
TMTeachable Moments for Health Behavior Change (NCI: 2004-2009)
IMPACTInsights from Multimethod Practice Assessment of Change over Time (NCI: 2001-2004)
1. Discover and characterize essential features of healthcare innovations that have promise to transform primary health care and improve health.
2. Identify the contextual factors that enable these innovations to develop and flourish.
3. Analyze the implications of these discoveries for important healthcare problems, such as improving cancer control and implementing the patient-centered medical home.
4. Foster communities of knowledge by interactively communicating discoveries about innovations and their enabling contextual factors.
Aims for the next (unfunded) study in the line: Practice/System/Community Innovations &
Context for Health Care Transformation
Aims for a grant proposal to the National Cancer Institute
•
Title
…
Initial Hypotheses
Current Portfolio of Potential Innovators
Emerging Portfolio of Innovators
Existing Data•Prior studies•Public domain
New Data•Interview•Observation•Other sources(Site visits)
From a subsequent (just funded) study in the line: Paradox of Primary Care
Primary care is associated with: • Poor quality of care for individual diseases, but • Better quality at population level • Similar whole-person functional health • Better population health • Lower resource use and cost • Less inequality in healthcare & health Stange KC, Ferrer RL. The paradox of primary care. Ann Fam Med. 2009;7(4):100-103.
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Principles of Primary Care (Hypotheses) • Accesibility as 1st contact
with health care • Accountability for large
majority of healthcare needs (comprehensiveness)
• Coordination & integration of care across settings, acute & chronic illnesses, mental health & prevention
• Sustained partnership – relationships over time in a family & community context
Donaldson MS, Yordy KD, Lohr KN, Vanselow NA, eds. Primary Care: America's Health in a New Era. Washington D.C.: National Academy Press; 1996.
Stange KC, Nutting PA, Miller WL, et al. Defining and measuring the Patient-Centered Medical Home. J Gen Intern Med. 2010; 25(6): 601-612.
• [Insert movie of a model run]
Agent-Based Model of the Paradox
The Network on Inequality, Complexity, and Health (NICH). OBSSR 7/1/10-6/30/14. Group Model Building to Engage Patient & Clinician Wisdom to Design Primary Care. Patient-Centered Outcomes Research Institute (PCORI) 7/1/12 – 6/30/14.
• “Systems science methodologies provide a way to address complex problems, while taking into account the big picture and context of such problems.” e.g. – Agent-based models – System dynamics models – Social network analysis
• Systems Science and Health in the Behavioral and Social Sciences (R01 and R21) http://grants.nih.gov/grants/guide/pa-files/PAR-11-314.html (R01) http://grants.nih.gov/grants/guide/pa-files/PAR-11-315.html (R21)
OBSSR and Systems Science
OBSSR. System Science. http://obssr.od.nih.gov/scientific_areas/methodology/systems_science/index.aspx Institute on Systems Science & Health. http://obssr.od.nih.gov/training_and_education/issh/index.html
• Work narrowly but raise your gaze periodically to put reductionist work in a larger context
• Pay attention to and report context • Multimethod approaches • Participatory approaches • Pursue an evolving line of investigation • Simulation modeling • Develop relationships; move from M→I→T
Acting Differently Based on Systems Understanding
• Holmes BJ, Finegood DT, Riley BL, Best A. (2012). Systems thinking in dissemination and implementation research. In R. Brownson, G. Colditz, & E. Proctor (Eds.), Dissemination and Implementation Research in Health: Translating Science to Practice. Oxford University Press.
• Luke, D. A. (2012). Viewing dissemination & implementation research through a network lens. In R. Brownson, G. Colditz, & E. Proctor (Eds.), Dissemination and Implementation Research in Health: Translating Science to Practice. Oxford University Press.
• Scott J. Leischow and Bobby Milstein. Systems Thinking and Modeling for Public Health Practice. American Journal of Public Health: March 2006, Vol. 96, No. 3, pp. 403-405. http://ajph.aphapublications.org/doi/full/10.2105/AJPH.2005.082842
• Meadow, DH, with Wright D. Thinking in Systems. A Primer. White River Junction, VT: Chelsea Green Publishing, 2008.
• Kernick D. Complexity and Healthcare Organization: A View from the Street. Oxford: Radcliffe Medical Press, 2004.
• Galea, Sandro et al. 2009 “Causal thinking and complex system approaches in epidemiology” International Journal of Epidemiology 39:97–106. http://obssr.od.nih.gov/issh/2010/files/track_abmt/galea_causal_thinking_2010.pdf
• Sterman, John. 2006. “Learning from Evidence in a Complex World.” American Journal of Public Health 96:505–14. http://obssr.od.nih.gov/issh/2010/files/track_abmt/AmericanJournalofPublicHealth_2006_Sterman.pdf
• Mabry PL, Olster DH, Morgan GD, Abrams DB. Interdisciplinarity and systems science to improve population health: a view from the NIH Office of Behavioral and Social Sciences Research. Am. J. Prev. Med. Aug 2008;35(2 Suppl):S211-224. www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18619402
• Miller WL, McDaniel RR, Jr., Crabtree BF, Stange KC. Practice jazz: understanding variation in family practices using complexity science. J. Fam. Pract. 2001;50(10):872-878. www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11674890
• Plsek PE, Greenhalgh T. Complexity science: the challenge of complexity in health care. BMJ. 2001;323(7313):625-628. www.ncbi.nlm.nih.gov/pmc/articles/PMC1121189/pdf/625.pdf
Collaborative Group Process: Developing Cross-Disciplinary Research Teams
William L. Miller, MD, MA Benjamin F. Crabtree, PhD Carlos R. Jaén, MD, PhD
Paul A. Nutting, MD, MSPH Robin S. Gotler, MA
Kurt C. Stange, MD, PhD
Center for Research in Family Practice and Primary Care Supported by a Center Grant from the
American Academy of Family Physicians
What’s Coming (presentation & extra slides)
• The need for collaboration • A typology of the collaborative process • Consider your experiences • The 6 stages of collaboration • Barriers • 6 ingredients for successful collaboration • Leadership to foster collaboration • Examples
When an Individual Approach is Too Limiting
• Knowledge, understanding, perspective • Energy • Resources • Opportunities • Fun
To Answer D&I Research Questions
• Meaning • Multiple perspectives • Multiple methods • Multiple sites and settings • Diverse expertise • Need for integration
Stange KC, Miller WL, McWhinney IR. Developing the knowledge base of family practice. Fam Med. 2001;33:286-297.
Collaboration can create
abundance by sharing scarcity.
Crabtree BF, Miller WL, Adison RB, Gilchrist VJ, Kuzel A. Exploring Collaborative Research in Primary Care. Thousand Oaks, California: Sage Publications; 1994.
Rosenfield PL. The potential of transdisciplinary research for sustaining and extending linkages between the health and social sciences. Soc. Sci. Med. Dec 1992;35(11):1343-1357. Stange KC. The Journal of Participatory Medicine: setting its sights on a community of practice. J Participat Med. 2009;(Oct):Launch Issue. http://jopm.org/index.php/jpm/article/view/34/30 Stokols D, Misra S, Moser RP, Hall KL, Taylor BK. The ecology of team science: understanding contextual influences on transdisciplinary collaboration. Am J Prev Med. 2008;35(2 Suppl):S96-115. Stokols D, Hall KL, Taylor BK, Moser RP. The science of team science: overview of the field and introduction to the supplement. Am. J. Prev. Med. Aug 2008;35(2 Suppl):S77-89. Crabtree BF, Miller WL, Adison RB, Gilchrist VJ, Kuzel A. Exploring Collaborative Research in Primary Care. Thousand Oaks, California: Sage Publications; 1994.
witness, organizer, consensus-builder, problem-focuser, builder of creative tension between task orientation & group process
Leadership for Collaborative Research
• Whole system – Top down – Bottom-up
Thomas P, Griffiths F, Kai J, O'Dwyer A. Networks for research in primary health care. BMJ. 2001;322:588-590.
Leadership for Collaborative Research
• In the face of change and uncertainty – Animation
• Provide initial direction • Encourages updating • Facilitates respectful interaction - trust, trustworthiness
– Improvisation • A hunch held lightly is a direction to be followed, not a
decision to be defended – Lightness
• “I don’t know” – Authentication
• Sensemaking – Learning
Weick KE. Leadership as the legitimation of doubt. In Bennis W, Spreitzer GM, Cummings TG, (eds). The Future of Leadership. San Francisco: Jossey-Bass, 2001.
Examples • Center for Research in Family Medicine and
Primary Care* • Cancer Center • Practice-based research • Community participatory research • Prescription for Health • The Annals of Family Medicine
* Stange KC, et al. The Direct Observation of Primary Care Study: Insights from the process of conducting multimethod, transdisciplinary research in community family practice. J Fam Pract. 2001;50:345-352.
* Crabtree BF, Miller WL, Gilchrist VL, Jaén CR, Stange KC. Common space: Living a collaborative research conversation. 1999 NAPCRG Plenary Presentation, San Diego. [Audio tape available for $5 from NAPCRG.]
appreciative • Appropriate methods • Critical multiplism • Coordination by
a generalist researcher
A Typology of Collaboration • Multidisciplinary
• Interdisciplinary
• Transdisciplinary
Sustained Common Action
Common Space
Action Consensus
Group Process Claimed
Acceptance Validation
Shared Expectations
Group
Levels of Collaborative Research
Base case – Set-up
Run 157 tics
Specialists more effective for people with single diseases
Primary care more effective for people with multiple diseases
Over time, specialist treatment effectiveness increases.
PC Range decreased to 0.5 175 tics: ↓ Paradox in health; ↓Specialty
PC Turnover ↑in 2 Poorest Neighborhoods
Competing Demands Theory • Many worthwhile services compete with
each other for time on the agenda of primary care patient visits.
• When primary care clinicians are not doing one activity under scrutiny (e.g. preventive services), they may be doing something else that is more compelling.
Jaén CR, Stange KC, Nutting PA. The competing demands of primary care: A model for the delivery of clinical preventive services. J Fam Pract. 1994; 38:166-171.
Stange KC, Fedirko T, Zyzanski SJ, Jaén CR. How do family physicians prioritize delivery of multiple preventive services? J Fam Pract. 1994; 38:231-237.
Theory of Competing Opportunities
• Integrated, prioritized care within an ongoing personal relationship • Breadth of care • Depth of knowledge of the patient, family and
community over time • Bridging of the boundaries between health and
illness • Guiding access to more narrowly focused care
Stange KC, Jaén CR, Flocke SA, Miller WL, Crabtree BF. The
value of a family physician. J Fam Pract, 1998; 46:363-368.
Primary Care Practices are Complex Adaptive Systems
• Complex behavior emerges from relationships among agents • Simple rules • Recurrent patterns • Co-evolution • Dependence on initial conditions • Non-linearity • Strategies for intervention
• Joining • Transforming • Learning
Miller WL, Crabtree BF, McDaniel RA, Stange KC. Understanding primary care practice: A complexity model of change. J Fam Pract, 1998; 46:369-376. Miller WL, McDaniel RA, Crabtree BF, Stange KC. Practice Jazz: Understanding variation in family practices using complexity science. J Fam Pract, 2001; 50:872-878.
Using Complexity Science to Inform a Reflective Practice Improvement Process
• Understanding practices’ vision and mission is useful in guiding change
• Creating tie and space for learning & reflection helps organizations to adapt & plan change
• Tension & discomfort are essential & normal during change
• Diverse perspectives foster adaptability & new insights for positive change
• Sustainable change requires supportive leadership Stroebel CK, McDaniel RR Jr, Crabtree BF, Miller WL, Nutting PA, Stange KC. Using complexity science to inform a reflective practice improvement process. Jt Comm J Qual Patient Saf, 2005. 31:438-446.
Facilitating Practice Change • The edge of chaos
– Innovators (live on the edge) – Outside forces move toward the edge – QI intervention moves toward the edge
• Change is difficult to predict • Tailor facilitation to malleable moments • Motivated change agents
– Work with the already motivated – Increase motivation by
• Linking to values or other needs • Peer comparison feedback
• Once motivated, address instrumental needs Ruhe MC, Weyer, SM, Zronek S, Wilkinson A, Wilkinson PS, Stange KC.
Facilitating practice change: Lessons from the STEP-UP clinical trial. Prev Med. 2005; 40(6): 729-734
Evolution of Practice Change Models • Office systems approaches • Value-focused intervention • Complexity science models
– Initial conditions, emergent opportunities, attractors – Relative importance of critical initial & emergent conditions – Importance of interrelationships between critical domains – Dynamic nature of multi-level relationships over time
Stange KC, Ruhe MC, Weyer SM et al. Practice change models: Insights from Multimethod
Practice Assessment of Change over Time (IMPACT). Prev Med. 2005; 40(6): 729-734 Cohen D, McDaniels R, Crabtree BF, et al. A practice change model for quality improvement in
primary care practice. 2004; J Healthcare Manage. 2004; 49:155-168. Stroebel CK, McDaniel RR, Crabtree BF, Miller WL, Nutting P, Stange KC. Using complexity science
to inform a reflective practice for improvement in primary care. Jt Comm J Qual Saf, 2005; 31:438-446.
Litaker D, Tomolo A, Liberatore V, Stange KC, Aron D. Using complexity theory to build interventions that improve health care delivery in primary care. J Gen Int Med, 2006; 21 Suppl 2:S30-4.
In Both Systems & Team Science • Look for fit
– Model – Method – Stakeholders
• Think & act beyond indentifying & overcoming barriers. Be open to: – Emergence – Team – ‘The creativity & fun of adaptive designs’ – Abundance