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A Framework for Health IT
Evaluation



Jim Warren, Malcolm Pollock,
Sue White, Karen Day, Yulong Gu




                             The National Institute
Informatics                  for Health Innovation
Motivation

• We need to learn from our
  health IT experiences
  – The literature [only] indicates that
    health IT works sometimes
    (when reported), and in specific
    areas and for specific outcomes*


    *   Lau F, Kuziemsky C, Price M, Gardner J. A
        review on systematic reviews of health
        information system studies. J Am Med Inform
        Assoc;17(6):637-45, 2010.
National Health IT Plan




Creates a host of
innovative health IT
projects specifically
in need of evaluation
Need for an evaluation framework


• Evaluation of health IT is complex
  – Evaluation has many aspects:
    technology, procedure / workflow, culture
  – Every aspect changes over time

• A framework provides
  – Quality, consistency (and efficiency)
  – Identifies key elements for:
    planning, conduct, reporting and
    dissemination
Methodology


              • Literature review
                – Including Lau (Canada),
                  Westbrooke (Aus), Greenhalgh
                  (UK)

              • Application to 4 NZ electronic
                referral (eReferral) projects

              • Iterative feedback
                Please consider yourself part of
                the procedure!
The Framework


                                 Intended use recommendations

                         Project structure template and guidelines




                                                                             Moderation & Support
             Confidentiality &                                   Analysis
                                          Criteria Pool
  Examples




             ethics guidelines                                  guidelines



                                       Multi-dimensional
                                      Evaluation Methods


                                   Results reporting template

                                    Dissemination guidelines
Project plan template


Phase 1: Planning
         Vision, Timeline, Staffing, Budgeting, Monitoring


Phase 2: Preparation
         Governance, Local Commitment, Approach Definition, Formal Approvals



Phase 3: Evaluation
         Iterative, Qualitative & Quantitative, Synthesis and Analysis



Phase 4: Dissemination
         Interim (formative) and Summative
Multidimensional evaluation


                  • Not narrowly focused on a single
                    outcome
                    –   Draw from criteria pool
                    –   Thematic analysis of semi-structured
                        interviews
                    –   Analysis of transactional data: this
                        framework is for systems seeing real health
                        delivery use, so there are records

                  • Want to know what’s good, and what
                    could be better

                  • Action Research (AR) orientation
                     – Probe for solutions to problems identified
                     – Disseminate early and often
Criteria Pool (1)


Impact
• Work and communication patterns
  e.g. relationship between types of
  providers

• Organisational culture
  e.g. Patient engagement

• Safety & quality

• Clinical effectiveness
  (generally process measures only)
Criteria Pool (2)


• Product
  – IT System Integrity
     • Including standard compliance
  – Usability
     • Efficiency, learnability, satisfaction
  – Vendor factors
• Process
  – Project management
  – Participant experience
  – Leadership and governance
What can the ‘transactional’ data
tell us?

 Quantitative
  Use / uptake
      Substantial? Sustained?
  Cycle times
  Message sizes and authorship
  distribution
 Qualitative
  Message content themes
What can interviews and focus
groups tell us?

Key benefits / value-add
Perceived threats
Areas for improvement
  E.g. usability barriers
Changes in culture and networks
Experience of the process of system
  adoption
How might we do it better in the future?

And it builds stakeholder engagement – esp.
  when people find out they’ve been listened to!
Dissemination of Findings

                  • Must put the results to work
                  • Interim
                    Inform and encourage
                    stakeholders, evoke their
                    feedback

                  • Summative
                     – Multi-modal approach
                       Stakeholder voices, as well as
                       stats
                     – Integral to project plan
                     – Create and sustain
                       communities of interest
                     – Learning continues
Web 2.0 in Dissemination




Personal
Further Dissemination Pathways

• Conventional written report
  – Web presence (Intro page, HTML
    Exec summary, PDF full report)
  – Clear authorship, invite citation and
    feedback

• Seminars
• Media
• Organisational channels (e.g.
  newsletters)
• Academic publication
• Promote systemic usage
What have we learned?


• Take a pragmatic approach to
  evaluation, using both qualitative
  and quantitative data
• Iterate!
• Action Research (AR) orientation
• Dissemination of the findings is
  integral and should reach all
  stakeholders considering uptake of
  similar technology
Questions?




             Thank you!

           jim@cs.auckland.ac.nz

    (CD with full reports from NIHI stand)

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A Framework for Health IT Evaluation

  • 1. A Framework for Health IT Evaluation Jim Warren, Malcolm Pollock, Sue White, Karen Day, Yulong Gu The National Institute Informatics for Health Innovation
  • 2. Motivation • We need to learn from our health IT experiences – The literature [only] indicates that health IT works sometimes (when reported), and in specific areas and for specific outcomes* * Lau F, Kuziemsky C, Price M, Gardner J. A review on systematic reviews of health information system studies. J Am Med Inform Assoc;17(6):637-45, 2010.
  • 3. National Health IT Plan Creates a host of innovative health IT projects specifically in need of evaluation
  • 4. Need for an evaluation framework • Evaluation of health IT is complex – Evaluation has many aspects: technology, procedure / workflow, culture – Every aspect changes over time • A framework provides – Quality, consistency (and efficiency) – Identifies key elements for: planning, conduct, reporting and dissemination
  • 5. Methodology • Literature review – Including Lau (Canada), Westbrooke (Aus), Greenhalgh (UK) • Application to 4 NZ electronic referral (eReferral) projects • Iterative feedback Please consider yourself part of the procedure!
  • 6. The Framework Intended use recommendations Project structure template and guidelines Moderation & Support Confidentiality & Analysis Criteria Pool Examples ethics guidelines guidelines Multi-dimensional Evaluation Methods Results reporting template Dissemination guidelines
  • 7. Project plan template Phase 1: Planning Vision, Timeline, Staffing, Budgeting, Monitoring Phase 2: Preparation Governance, Local Commitment, Approach Definition, Formal Approvals Phase 3: Evaluation Iterative, Qualitative & Quantitative, Synthesis and Analysis Phase 4: Dissemination Interim (formative) and Summative
  • 8. Multidimensional evaluation • Not narrowly focused on a single outcome – Draw from criteria pool – Thematic analysis of semi-structured interviews – Analysis of transactional data: this framework is for systems seeing real health delivery use, so there are records • Want to know what’s good, and what could be better • Action Research (AR) orientation – Probe for solutions to problems identified – Disseminate early and often
  • 9. Criteria Pool (1) Impact • Work and communication patterns e.g. relationship between types of providers • Organisational culture e.g. Patient engagement • Safety & quality • Clinical effectiveness (generally process measures only)
  • 10. Criteria Pool (2) • Product – IT System Integrity • Including standard compliance – Usability • Efficiency, learnability, satisfaction – Vendor factors • Process – Project management – Participant experience – Leadership and governance
  • 11. What can the ‘transactional’ data tell us? Quantitative Use / uptake Substantial? Sustained? Cycle times Message sizes and authorship distribution Qualitative Message content themes
  • 12. What can interviews and focus groups tell us? Key benefits / value-add Perceived threats Areas for improvement E.g. usability barriers Changes in culture and networks Experience of the process of system adoption How might we do it better in the future? And it builds stakeholder engagement – esp. when people find out they’ve been listened to!
  • 13. Dissemination of Findings • Must put the results to work • Interim Inform and encourage stakeholders, evoke their feedback • Summative – Multi-modal approach Stakeholder voices, as well as stats – Integral to project plan – Create and sustain communities of interest – Learning continues
  • 14. Web 2.0 in Dissemination Personal
  • 15. Further Dissemination Pathways • Conventional written report – Web presence (Intro page, HTML Exec summary, PDF full report) – Clear authorship, invite citation and feedback • Seminars • Media • Organisational channels (e.g. newsletters) • Academic publication • Promote systemic usage
  • 16. What have we learned? • Take a pragmatic approach to evaluation, using both qualitative and quantitative data • Iterate! • Action Research (AR) orientation • Dissemination of the findings is integral and should reach all stakeholders considering uptake of similar technology
  • 17. Questions? Thank you! jim@cs.auckland.ac.nz (CD with full reports from NIHI stand)