Knowledge Synthesis and Integration: Changing Models, Changing Practices

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Knowledge Synthesis and Integration: Changing Models, Changing Practices Irvine, California March 16, 2009 Allan Best, Managing Partner, InSource University of British Columbia Diane Finegood, Simon Fraser University Canadian Partnership Against Cancer allan.best@in-source.ca finegood@sfu.ca InSource ~ Research Excellence for Practical Solutions

Overview Framing knowledge integration Shifting the paradigm Building a toolkit Moving to action Making recommendations Becoming a revolutionary

Generations of Knowledge Thinking 1: Linear Models (1960s-mid 90s) LANGUAGE KEY ASSUMPTIONS Dissemination Diffusion Knowledge transfer Knowledge uptake Knowledge is a product Key process is a handoff from research producers to research users Knowledge is generalizable across contexts is a function of effective packaging Best A, Hiatt RA, & Norman CD. Pat Ed & Counsel 2008;71:319-327

Linear Models ~ Two Stage Translational Research Crowley WF et al. JAMA 2004;291:1120-1126.

Generations of Knowledge Thinking 2: Relationship Models (Mid-90s to present) LANGUAGE KEY ASSUMPTIONS Knowledge exchange Knowledge from multiple sources research, theory, and practice Key process is interpersonal, involving social relationships Networks of research producers and research consumers Collaborate thru production-synthesisintegration cycle Knowledge is context-linked, and must be adapted to local setting Degree of use is a function of effective relationships and processes

Graham ID et al. J Cont Ed in the Health Professions 2006; 26:13-24.

Circular Models 2 ~ NHS Systems Change Kelly MP, Speller V, & Meyrick J (2004). London: Health Development Agency, http://www.nice.org.uk/page.aspx?o=502709

Generations of Knowledge Thinking 3: Systems Models LANGUAGE Knowledge integration Knowledge translation Knowledge mobilization Knowledge exchange and uptake KEY ASSUMPTIONS Knowledge cycle is tightly woven within priorities, culture, and context Explicit and tacit knowledge need to be integrated to inform decision making and policy Relationships mediate throughout the cycle, and must be understood from a systems perspective, in the context of the organization and its strategic processes Degree of use is a function of effective integration with the organization(s) and its systems

THE INNOVATION Relative advantage Compatibility Low complexity Trialability Observability Potential for reinvention Risk Task issues Nature of knowledge required (tacit/explicit) Technical support COMMUNICATION AND INFLUENCE DIFFUSION (Informal, unplanned) Structure Size/maturity Formalisation Differentiation Decentralisation Slack resources Resource system Knowledge purveyors SYSTEM ANTECEDENTS FOR INNOVATION Absorptive capacity for new knowledge Pre-existing knowledge/skills base Ability to find, interpret, re-codify and integrate new knowledge Enablement of knowledge sharing via internal and external networks LINKAGE The innovation Diffusion User system Receptive context for change Leadership and vision Good managerial relations Risk-taking climate Clear goals and priorities High quality data capture System antecedents System readiness SYSTEM READINESS FOR INNOVATION Tension for change Innovation-system fit Power balances (supporters vs opponents) Assessment of implications Dedicated time / resources Monitoring and feedback THE ADOPTER Needs Motivation Values and goals Skills Learning style Social networks Social networks Homophily Peer opinion Marketing Expert opinion Champions Boundary spanners Change agents DISSEMINATION (formal, planned) THE OUTER CONTEXT Socio-political climate Incentives and mandates Inter-organisational norm-setting & networks Environmental stability Dissemination Change agency Outer context LINKAGE LINKAGE Design stage Shared meanings and mission Effective knowledge transfer User involvement in specification Capture of user-led innovation Adoption / assimilation Implementation Consequences Implementation stage Communication and information User orientation Product augmentation e.g. technical help Project management support ASSIMILATION Complex, non-linear process Soft periphery elements THE IMPLEMENTATION PROCESS Decision-making devolved to front line teams Hands-on approach by leaders and managers Human resource issues, especially training Dedicated resources Internal communication External collaboration Reinvention/development Feedback on progress

INITIAL KIQNIC MAP

CAPTURE

Knowledge Synthesis Framework SYSTEM/ POLICY TEAM/ ORGANIZATION INDIVIDUAL BASIC CLINICAL POPULATION

Sample Strategies SYSTEM/ POLICY TEAM/ ORGANIZATION INDIVIDUAL incentives EHRs report cards detailing office systems active training on-demand evidence tools self-monitoring follow-up multi-component intervention interagency networks supportive funding policies KE platforms linking producers and users communities of practice/knowledge networks user friendly MIS CLINICAL POPULATION

Seminal Articles SYSTEMS THINKING Greenhalgh, Trisha, et al. Diffusion in service organizations. Milbank Quarterly 2004;82:581-629. CHANGE THEORY Grol, Richard, et al. Planning and studying improvement in patient care. Milbank Quarterly 2007; 85:93-138. KNOWLEDGE TO ACTION MODELS Van de Ven, Andrew, & Johnson, Paul. Knowledge for theory and practice. Academy of Management Review 2006; 31:802-821. Van de Ven, A. Engaged Scholarship. Oxford, 2007

Van De Ven s Three Lenses 1. Knowledge transfer problem 2. Problem is different theory and practice knowledge 3. Knowledge production problem Engaged Scholarship

Linking Change Theory to KTA TRANSFER (linear) Cognitive Educational Motivational Communications EXCHANGE (relationship) Social learning Social network and influence Teamwork CO- PRODUCTION (systems) Complexity Leadership Organizational culture, learning and innovation Quality Management and integrated care

Overview Framing knowledge integration Shifting the paradigm Building a toolkit Moving to action Making recommendations Becoming a revolutionary

A Paradigm Shift Reductionism Metaphor is a machine Complexity Science Metaphor is a living system Change by Plan & control. Standardization of parts Single causative factor No connection between micro and macro Controlled High internal validity Feedback loops and adaptation. Change by Learn & adapt Multiple causal factors interacting Multilevel influence and emergence Context dependency High external validity

Comparison of Knowledge MODE I Focus is knowledge generation Basic to applied research Scientist as expert Clear standards of knowledge Types MODE II Focus is problemsolving Learn by doing Knowledge is cocreated and context dependent Flexible methods & general guidelines for quality Denis JL et al. In Lemieux-Charles L & Champagne F. Using Knowledge and Evidence in Health Care, U of T Press, 2005

Solutions to Complex Problems Support individuals / individuals matter Match complexity to capacity Establish networks and teams Set functional goals Distribute decision, action, & authority Create competition and feedback loops Assess effectiveness at various levels Bar-Yam, Y. Making Things Work, 2004.

Places to Intervene in a system an invitation to think more broadly about the many ways there might be to get systems to change. Donella Meadows 1999 Effectiveness Difficulty The power to transcend paradigms The paradigm that the system arises out of The goal of the system The power to add, change, evolve, or self-organize system structure The rules of the system The structure of information flow The gain around driving positive feedback loops The strength of negative feedback loops The length of delays The structure of material stocks and flows The size of buffers and other stabilizing stocks Constants, parameters, numbers

Places to Intervene No. of actions 0 20 40 60 Paradigm Goals Structure (as a whole) Feedback and Delays Structural Elements Increasing difficulty & effectiveness 1 2 3 4 5

Overview Framing knowledge integration Shifting the paradigm Building a toolkit Moving to action Making recommendations Becoming a revolutionary

Action Research WHOLE SYSTEMS METHODS REFINING METHODS Administrative Databases Concept Mapping System Dynamics Network Analysis Knowledge Integration Surveillance, Info Systems, Report Cards Systematic reviews Better Practices Toolbox STRATEGIC CHANGE Rapid Learning Systems* *Etheredge L, Health Affairs 2007 26(2): w107-w118

The Rapid Review Process Refining the Research Question Draft Research Question(s) { Preliminary Literature Search Finalize Research Question(s) Decision Maker, Expert Panel, Reference Group Retrieving the Information Draft Bibliography { Retrieve Articles Finalize Annotated Bibliography Expert Panel Synthesizing the Information Synthesize Literature Draft Evidence Statements, Model or Framework Finalize Evidence Statements, Model or Framework { Expert Panel Interpreting the Information Draft Recommendations Finalize Recommendations Sense-making { Decision Maker, Expert Panel, Reference Group

Implications for Partnerships Clear common aims Trust Collaborative leadership Sensitivity to power issues Membership structure Action learning Best A, & Hall N. Rapid Review of Interorganizational Partnerships. InSource, 2006

Overview Framing knowledge integration Shifting the paradigm Building a toolkit Moving to action Making recommendations Becoming a revolutionary

CAPTURE

Building trust slide From our IOP review and CAPTURE agentbased model, partnership and trust essential prerequisite for integrated systems 44 leaders, 5 countries, multiple sectors for 2- day trust building workshop focused on obesity Explored the knowledge, attitudes, skills, and character traits necessary to build trust for collaborative action Identified key factors, resources, tools, approaches and structures to get to trust

Critical Factors for Trust Common ground Shared vision, agenda Leadership Commitment Communication Accountability

Envisioning CAPTURE 1. Method and tool platform 2. Integrative common framework, logic and language 3. Coordinated, comprehensive strategy

Critical Elements in Integrative Strategy Shared vision and goals Servant leadership Well-defined roles, responsibilities, and strategies for work sharing Matched resources and capacity building Common indicators and evaluation tools High-performance coordination, communications, and learning systems/networks/communities Approach to linking strategy and policy

Overview Framing knowledge integration Shifting the paradigm Building a toolkit Moving to action Making recommendations Becoming a revolutionary

RECOMMENDATIONS Lens. Complex problems need systems solutions Methods. Invest in systems methods and tools Funding. Structure to support integrated Knowledge-Action-Data platforms Coordination. Orchestrate multi-level strategy for shaping paradigm, structure and elements

Overview Framing knowledge integration Shifting the paradigm Building a toolkit Moving to action Making recommendations Becoming a revolutionary

1. Revolution in academia Van de Ven s engaged scholarship Gabriele Bammer s integration and implementation science Systems thinking and complexity science Participatory methods Knowledge management, exchange and implementation Van de Ven, A. Engaged Scholarship. Oxford, 2007 Bammer G. Ecology and Society 2005; 10(2):6 www.ecologyandsociety.org/vol10/iss2/art6/

2. Revolution in strategy Research a line item competing with patient service Transformative versus incremental strategy

3. Revolution in science Generalizable versus contextual knowledge Behaviour change AND system dynamics Clinical versus public health evidence