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Participatory development for
Human centered and Value-driven eHealth


  J (Lisette) van Gemert-Pijnen




  Center for eHealth Research & Disease Management
  Maastricht, 29 November 2010
Center for eHealth Research & Disease Management
Institute for Social Sciences and Technology
                  to create and share knowledge about social and
                   behavioural aspects of technology in health care

                  to translate knowledge into useful technology
                   concepts for (re)designing and implementing
                   technology in healthcare

                  to intensify cooperation with international
                   research centres and healthcare institutes

                  to strengthen the relationship between research,
                   policy and practice

                  to contribute to the solution of social-economic
                   problems, like ageing and chronic care, via
                   technology
Trends in Healthcare (1)
Ageing societies demand for innovative solutions
        ↑ elderly people
        ↑ healthcare associated infections
        ↑ chronic diseases; comorbidity
        ↓ healthcare professionals
        ↓ budget
Trends in Healthcare (2)
Nature of demand is changing: e-Citizens want Health 2.0 solutions
for self-control
Technology can help, but what works?

  eDecision
    Aids
               eAwareness   Dementia



 eMonitoring

               eCoacing




eLearning


               eLogistics
Adherence to technology




                                      Focus in research: usage over time
                                      reasons for attrition; drivers for
                                      persistence


Eysenbach, 2005, the law of attrition, J Med Internet Res 7(1):1
Barriers for adherence; why IT does not work
       systematic review diabetes care;1994-2009 (47/90 self-care)
management      No coordination offline-online
                Lack of training, education staff
                Lack of project management (case manager, nurse, Gp, specialist,
                patient)
                Bias in population; bias in publication, no report of drop outs
                Unclear insight in benefits (cost/benefits for whom?)
technology      Usability problems
                One-way-Feedback (professionals contact patient)
                Ceiling effect (ill-management; task-related coaches)
                Lack of push factors (triggers for motivation, like fun, entertaining,
                incentives, rewards)
                Lack of tailoring, template medicine
research        No longitudinal studies, no process results of usage
                Control-groups do no match with Intervention groups (weak RCTs)
                Unclear definitions of self-care
                Technology is a black box in research, no focus on capacities of
                technology as a medium for communication
Adherence to a web-based coach DM II;
evaluation usage/discontinued usage (2 years)

                              Different tools appear on demand:
                              e.g. healthy living test, sport selection
                              guide, activity scale, nutrition guide,
                              weight manager, diet guide, mobility
                              exercises



    Monitoring
    Motivation (eContact)
    Mentoring
        •Education
        •Instruction
Usage and non-usage of the eDiabetes coach

                       8
 Mean number of hits



                                                                                                                                                           I just forget and if my
                       7                                                                                                                                   diabetes nurse would
                                                                                                                                                           provide some more help or
                       6
                                                      Usage over time, study period 2 years                                                               pay some more attention
                                                      methods                                                                                             to it, it might result in more
                       5                                                                                                                                   interest.

                       4                              Survey Enrollee characteristics
                       3                              Interviews barriers to enrollment
                                                      Log files/content analysis; Actual use of theshould be more
                                                                                                  It web application
                       2                                                                                                                                        interactive; that you
                                                      Usability-tests ; real-time observation actual usage a signal and
                                                                                                   would get
                       1
                                                      Interviews : motivations for use & barriers reply.. That you would
                                                                                                   to use
                                                                                                 get a slightly more
                       0                              Follow-up emails Barriers to long-term usestable rhythm...
                           07/07


                                     08/07


                                             09/07


                                                       10/07


                                                               11/07


                                                                       12/07


                                                                               01/08


                                                                                        02/08


                                                                                                03/08


                                                                                                        04/08


                                                                                                                05/08


                                                                                                                        06/08


                                                                                                                                07/08


                                                                                                                                        08/08


                                                                                                                                                09/08


                                                                                                                                                        10/08


                                                                                                                                                                 11/08


                                                                                                                                                                         12/08


                                                                                                                                                                                 01/09


                                                                                                                                                                                         02/09


                                                                                                                                                                                                 03/09


                                                                                                                                                                                                         04/09


                                                                                                                                                                                                                 05/09


                                                                                                                                                                                                                         06/09
                                   Personal data                                       Online monitoring                                E-mail contact                                    Online education
                                   Calendar                                            Personal lifestyle coach                         Print feature
eCoaching, who persist? (review & diabetes coach)

Those that might feel they have much to gain..
Conscientiousness to gain their goals… (Halko&Kientz, 2010)
 positive attitude in advance to use the application
 “under-estimaters”
 high medication users
 eager to realize goals
 higher use of all modules; in particular monitoring+email
 proactive, asking for support via eContact
 reflection on usage (demand for “smart” technology; integration of
  monitoring+eContact+personal data)
 SES influences access, not persistence
Discontinued users (lifestyle coach)
   Technology not human-centered
    usability problems; people get lost
    lack of push factors (triggers; feedback; incentives; social media)
   Technology has no added value
   no fit into daily live
   ceiling effects (condition under control)
   wrong group (no critical condition to participants)
   No support (patients&profs)
   lack of pressure (no obligations for usage)
   lack of incentives, rewards
   no integration with offline medicine
   limited training staff
   no clear marketing or diffusion strategy
Adherence to Technology for dementia (vulnerable patients)
(nursing homes; home care)


    Safety support (passive)
      GPS track and trace
    Support for self-care, well-being (inter-active)
      Touch screen & Video contact
      Chitchatters (contact games “the Past”)
    Care coordination support (passive)
      IST Vivago Watch (measures sleep/wake rhythm)
      ADL-sensor technology (observing activities)
Supply driven technology (passive tech), limited value


     GPS systems (Talk me Home) frighten patients and cause
      weird situations (following tool, disregarding traffic)

     Sensor technology (monitoring activities like eating,
      sleeping) enhanced feelings of safety however a lot of
      usability problems occurred
Patients & carers differ in needs and interests
                               caregivers and family carers want
                               technology for safety control,
                               structures for living (interest)
                   Patients
                   want a
                   view on
                   the world
                   outside,
                   social
                   contacts



                                   Narrative Technology, stories,
                                  songs, news from the past to
                                  “remember”


                                                                    14
Why IT has limited value..

  Supply-driven technology disregards needs and demands (frustration)

  Expert-driven-development models disregard real-life situations and
     complexity in healthcare (high tech, low impact)

  Medical-driven approach results in ill-management apps, rational-decision-
     making, no focus on well-being and lives to live (ceiling effects)

  No hot-triggers for usage (drop-outs)

  Absence of adequate business models hinder up-scaling (unclear who
     benefits)

  Shortage of fully qualified eHealth professionals (no fit between offline-online
     care; shadow-organisation)


    Systematic reviews & studies center eHealth research
Need for new approaches to achieve technologies that are human centered, fit
for context, and that make sense for all stakeholders
Roadmap for participatory development




                                        Thesis Nijland, 2010   17
Participation of stakeholders for value driven technologies




                      Selection
                      actors
                      Values
                      Functional
                      requirements




 •   is there any need for a new system?
 •   what is the added value?
 •   what are the critical design issues?
 •   what are the conditions for implementation?
 •   What are the roles, tasks related to technology ?
     What business models provide added value?
                                                              18
Health-technology-development is more than designing, engineering a good “thing” or
tool, it is creating an infrastructure for knowledge dissemination, communication and
the organization of care
Persuasive Design to increase adherence




               Praise
               Rewards
               Reminders
               Suggestion
               Similarity
               Liking
               Social role



                                          20
Co-design via social media
 To develop user-generated content, to know how people talk, think,
    what matters...




                         Co-design of a communication platform
                         – Antibiotic Stewardship Toolkit for hospital staff, primary
                            care, general public
                              – education, collaboration
                              – awareness & information general public…
                         – Outbreak management (multi resistant bacteria)
EURSAFETY HEALTH-NET CROSS-BORDER INFECTION CONTROL
            AHM van Limburg MSc BEng, MGR Hendrix PhD MD, J van Gemert-Pijnen PhD




 Business Modelling
 co-creation with stakeholders
 continuous, reflective process
 evaluation & implementation
  interwoven with development, no
  afterthought
 canvas models; cost/benefits
eHealth Research: 2.0 Topics for innovation

        Innovative research methods for participatory health

          monitoring (non)usage (attrition; persistence; user profiles)

          international classification system to describe eH-interventions

          persuasive design to increase adherence (human centered
           design)

          co-creation via business modelling (value-driven)

          wiki, social media as 2.0 research methods (user generated
           content)

          multi-level (HOT-FIT) and multidisciplinary focus (social
           sciences, medical sciences, engineering)
Thanks..




Contact: dr. J (Lisette) van Gemert-Pijnen
J.vanGemert-Pijnen@utwente.nl
www.ehealthresearchcenter.nl
www.medicine20congress.com
Medicine2.0'10: Participatory development for human-centered and value-driven eHealth
Medicine2.0'10: Participatory development for human-centered and value-driven eHealth

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Medicine2.0'10: Participatory development for human-centered and value-driven eHealth

  • 1. Participatory development for Human centered and Value-driven eHealth J (Lisette) van Gemert-Pijnen Center for eHealth Research & Disease Management Maastricht, 29 November 2010
  • 2. Center for eHealth Research & Disease Management Institute for Social Sciences and Technology  to create and share knowledge about social and behavioural aspects of technology in health care  to translate knowledge into useful technology concepts for (re)designing and implementing technology in healthcare  to intensify cooperation with international research centres and healthcare institutes  to strengthen the relationship between research, policy and practice  to contribute to the solution of social-economic problems, like ageing and chronic care, via technology
  • 3. Trends in Healthcare (1) Ageing societies demand for innovative solutions  ↑ elderly people  ↑ healthcare associated infections  ↑ chronic diseases; comorbidity  ↓ healthcare professionals  ↓ budget
  • 4. Trends in Healthcare (2) Nature of demand is changing: e-Citizens want Health 2.0 solutions for self-control
  • 5. Technology can help, but what works? eDecision Aids eAwareness Dementia eMonitoring eCoacing eLearning eLogistics
  • 6. Adherence to technology Focus in research: usage over time reasons for attrition; drivers for persistence Eysenbach, 2005, the law of attrition, J Med Internet Res 7(1):1
  • 7. Barriers for adherence; why IT does not work systematic review diabetes care;1994-2009 (47/90 self-care) management No coordination offline-online Lack of training, education staff Lack of project management (case manager, nurse, Gp, specialist, patient) Bias in population; bias in publication, no report of drop outs Unclear insight in benefits (cost/benefits for whom?) technology Usability problems One-way-Feedback (professionals contact patient) Ceiling effect (ill-management; task-related coaches) Lack of push factors (triggers for motivation, like fun, entertaining, incentives, rewards) Lack of tailoring, template medicine research No longitudinal studies, no process results of usage Control-groups do no match with Intervention groups (weak RCTs) Unclear definitions of self-care Technology is a black box in research, no focus on capacities of technology as a medium for communication
  • 8. Adherence to a web-based coach DM II; evaluation usage/discontinued usage (2 years) Different tools appear on demand: e.g. healthy living test, sport selection guide, activity scale, nutrition guide, weight manager, diet guide, mobility exercises Monitoring Motivation (eContact) Mentoring •Education •Instruction
  • 9. Usage and non-usage of the eDiabetes coach 8 Mean number of hits I just forget and if my 7 diabetes nurse would provide some more help or 6  Usage over time, study period 2 years pay some more attention  methods to it, it might result in more 5 interest. 4  Survey Enrollee characteristics 3  Interviews barriers to enrollment  Log files/content analysis; Actual use of theshould be more It web application 2 interactive; that you  Usability-tests ; real-time observation actual usage a signal and would get 1  Interviews : motivations for use & barriers reply.. That you would to use get a slightly more 0  Follow-up emails Barriers to long-term usestable rhythm... 07/07 08/07 09/07 10/07 11/07 12/07 01/08 02/08 03/08 04/08 05/08 06/08 07/08 08/08 09/08 10/08 11/08 12/08 01/09 02/09 03/09 04/09 05/09 06/09 Personal data Online monitoring E-mail contact Online education Calendar Personal lifestyle coach Print feature
  • 10. eCoaching, who persist? (review & diabetes coach) Those that might feel they have much to gain.. Conscientiousness to gain their goals… (Halko&Kientz, 2010)  positive attitude in advance to use the application  “under-estimaters”  high medication users  eager to realize goals  higher use of all modules; in particular monitoring+email  proactive, asking for support via eContact  reflection on usage (demand for “smart” technology; integration of monitoring+eContact+personal data)  SES influences access, not persistence
  • 11. Discontinued users (lifestyle coach)  Technology not human-centered  usability problems; people get lost  lack of push factors (triggers; feedback; incentives; social media)  Technology has no added value  no fit into daily live  ceiling effects (condition under control)  wrong group (no critical condition to participants)  No support (patients&profs)  lack of pressure (no obligations for usage)  lack of incentives, rewards  no integration with offline medicine  limited training staff  no clear marketing or diffusion strategy
  • 12. Adherence to Technology for dementia (vulnerable patients) (nursing homes; home care)  Safety support (passive)  GPS track and trace  Support for self-care, well-being (inter-active)  Touch screen & Video contact  Chitchatters (contact games “the Past”)  Care coordination support (passive)  IST Vivago Watch (measures sleep/wake rhythm)  ADL-sensor technology (observing activities)
  • 13. Supply driven technology (passive tech), limited value  GPS systems (Talk me Home) frighten patients and cause weird situations (following tool, disregarding traffic)  Sensor technology (monitoring activities like eating, sleeping) enhanced feelings of safety however a lot of usability problems occurred
  • 14. Patients & carers differ in needs and interests caregivers and family carers want technology for safety control, structures for living (interest) Patients want a view on the world outside, social contacts Narrative Technology, stories, songs, news from the past to “remember” 14
  • 15. Why IT has limited value..  Supply-driven technology disregards needs and demands (frustration)  Expert-driven-development models disregard real-life situations and complexity in healthcare (high tech, low impact)  Medical-driven approach results in ill-management apps, rational-decision- making, no focus on well-being and lives to live (ceiling effects)  No hot-triggers for usage (drop-outs)  Absence of adequate business models hinder up-scaling (unclear who benefits)  Shortage of fully qualified eHealth professionals (no fit between offline-online care; shadow-organisation)  Systematic reviews & studies center eHealth research
  • 16. Need for new approaches to achieve technologies that are human centered, fit for context, and that make sense for all stakeholders
  • 17. Roadmap for participatory development Thesis Nijland, 2010 17
  • 18. Participation of stakeholders for value driven technologies Selection actors Values Functional requirements • is there any need for a new system? • what is the added value? • what are the critical design issues? • what are the conditions for implementation? • What are the roles, tasks related to technology ? What business models provide added value? 18
  • 19. Health-technology-development is more than designing, engineering a good “thing” or tool, it is creating an infrastructure for knowledge dissemination, communication and the organization of care
  • 20. Persuasive Design to increase adherence Praise Rewards Reminders Suggestion Similarity Liking Social role 20
  • 21. Co-design via social media To develop user-generated content, to know how people talk, think, what matters... Co-design of a communication platform – Antibiotic Stewardship Toolkit for hospital staff, primary care, general public – education, collaboration – awareness & information general public… – Outbreak management (multi resistant bacteria)
  • 22. EURSAFETY HEALTH-NET CROSS-BORDER INFECTION CONTROL AHM van Limburg MSc BEng, MGR Hendrix PhD MD, J van Gemert-Pijnen PhD  Business Modelling  co-creation with stakeholders  continuous, reflective process  evaluation & implementation interwoven with development, no afterthought  canvas models; cost/benefits
  • 23. eHealth Research: 2.0 Topics for innovation  Innovative research methods for participatory health  monitoring (non)usage (attrition; persistence; user profiles)  international classification system to describe eH-interventions  persuasive design to increase adherence (human centered design)  co-creation via business modelling (value-driven)  wiki, social media as 2.0 research methods (user generated content)  multi-level (HOT-FIT) and multidisciplinary focus (social sciences, medical sciences, engineering)
  • 24.
  • 25. Thanks.. Contact: dr. J (Lisette) van Gemert-Pijnen J.vanGemert-Pijnen@utwente.nl www.ehealthresearchcenter.nl www.medicine20congress.com