Skip to main content
SpringerLink
Log in
Book cover

International Conference on Persuasive Technology

PERSUASIVE 2020: Persuasive Technology. Designing for Future Change pp 113–125Cite as

Persuading from the Start: Participatory Development of Sustainable Persuasive Data-Driven Technologies in Healthcare

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12064))

Abstract

Data-driven technologies can persuade humans to optimize their behavior and context based on objective data. However, current data-driven technologies have limited persuasive powers, because of a misfit between technology, end-users and context. Neglecting end-users in the development process contributes to this misfit and to limited engagement with the to-be-developed technology. This threatens sustainable (long-term) implementation. Therefore, this paper demonstrates how a bottom-up participatory development approach can improve the persuasive design of data-driven technologies and simultaneously increase engagement of end-users to foster sustainable implementation. This is done by describing part of the development of an Audit & Feedback system for healthcare workers at a Dutch regional general hospital. The system intends to contribute to reducing antimicrobial resistance. The rationale for, questions asked at and results of a questionnaire and two focus groups are described.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. World Health Organization [WHO]: World health statistics 2018: monitoring health for the SDGs, sustainable development goals. WHO, Geneva, p. 47

    Google Scholar 

  2. Holden, R.J., et al.: SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients. Ergonomics 56(11), 1669–1686 (2013)

    Article  Google Scholar 

  3. Lorencatto, F., et al.: Driving sustainable change in antimicrobial prescribing practice: how can social and behavioural sciences help? J. Antimicr. Chemother. 73(10), 2613–2624 (2018)

    Article  Google Scholar 

  4. Keizer, J., et al.: Finding the match between user and expert for optimal audit and feedback: sense-making of routinely collected antimicrobial data Journal of Antimicrobial Resistance and Infection Control (2019). p. Manuscript submitted for publication (copy with author)

    Google Scholar 

  5. Micallef, C., et al.: Secondary use of data from hospital electronic prescribing and pharmacy systems to support the quality and safety of antimicrobial use: a systematic review. J. Antimicrob. Chemother. 72(7), 1880–1885 (2017). https://doi.org/10.1093/jac/dkx082

    Article  Google Scholar 

  6. Van Mourik, M.S.M., et al.: Designing surveillance of healthcare-associated infections in the era of automation and reporting mandates. Clin. Infect. Dis. 66(6), 970–976 (2018)

    Article  Google Scholar 

  7. Ivers, N., et al.: Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst. Rev. 13(6), CD000259 (2012)

    Google Scholar 

  8. Mitchell, B.G., et al.: Time spent by infection control professionals undertaking healthcare associated infection surveillance: a multi-centred cross sectional study. Infect. Dis. Health 21(1), 36–40 (2016). https://doi.org/10.1016/j.idh.2016.03.003

    Article  Google Scholar 

  9. Bal, A.M., Gould, I.M.: Antibiotic stewardship: overcoming implementation barriers. Curr. Opin. Infect. Dis. 24(4), 357–362 (2011). https://doi.org/10.1097/QCO.0b013e3283483262

    Article  Google Scholar 

  10. Colquhoun, H.L., et al.: Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses. Implement Sci. 12(1), 117 (2017)

    Article  Google Scholar 

  11. Van Gemert-Pijnen, J.E.W.C., et al.: eHealth Research, Theory and Development: A Multidisciplinary Approach. Routledge, London (2018)

    Book  Google Scholar 

  12. Keizer, J., et al.: Antimicrobial Resistance Safety Stewardship (AMSS): empowering healthcare workers through quality management. In: International Forum on Quality & Safety in Healthcare: People Make Change (2019)

    Google Scholar 

  13. Keizer, J., et al.: Cross-border comparison of antimicrobial resistance (AMR) and AMR prevention measures: the healthcare workers’ perspective. Antimicrob. Resist. Infect. Control 8(1), 123 (2019). https://doi.org/10.1186/s13756-019-0577-4

    Article  Google Scholar 

  14. World Health Organization [WHO]: Global Action Plan on Antimicrobial Resistance. WHO, Geneva (2015)

    Google Scholar 

  15. Kullar, R., et al.: The “epic” challenge of optimizing antimicrobial stewardship: the role of electronic medical records and technology. Clin. Infect. Dis. 57(7), 1005–1013 (2013)

    Article  Google Scholar 

  16. Baysari, M.T., et al.: The effectiveness of information technology to improve antimicrobial prescribing in hospitals: a systematic review and meta-analysis. Int. J. Med. Inform. 92, 15–34 (2016). https://doi.org/10.1016/j.ijmedinf.2016.04.008

    Article  Google Scholar 

  17. Creswell, J.W., et al.: Advanced mixed methods research designs. In: Tashakkori, A., Teddlie, C. (eds.) Handbook on Mixed Methods in the Behavioral and Social Sciences. Sage, Thousand Oaks (2003)

    Google Scholar 

  18. Stichting Werkgroep Antibioticabeleid [SWAB]: SWAB Guidelines for Antimicrobial Stewardship. SWAB, Bergen (2017)

    Google Scholar 

  19. Inspectorate, H.a.Y.C.: Toetsingskader TIP3. Ministry of Health, Welfare and Sports (2016)

    Google Scholar 

  20. World Health Organization [WHO]: Diagnostic stewardship: A guide to implementation in antimicrobial resistance surveillance sites. WHO (2016)

    Google Scholar 

  21. Filice, G., et al.: Antimicrobial Stewardship Programs in Inpatient Settings: A Systematic Review (2013)

    Google Scholar 

  22. Dellit, T.H., et al.: Infectious diseases society of America and the society for healthcare epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin. Infect. Dis. 44(2), 159–177 (2007)

    Article  Google Scholar 

  23. Centers for Disease Control and Prevention [CDC]: Core Elements of Hospital Antibiotic Stewardship Programs. US Department of Health and Human Services, Atlanta, GA (2014)

    Google Scholar 

  24. Storr, J., et al.: Core components for effective infection prevention and control programmes: new WHO evidence-based recommendations. Antimicr. Resist. Infect. Control 6, 6 (2017)

    Article  Google Scholar 

  25. Zingg, W., et al.: Hospital organisation, management, and structure for prevention of healthcare-associated infection: a systematic review and expert consensus. Lancet Infect. Dis. 15(2), 212–224 (2015). https://doi.org/10.1016/s1473-3099(14)70854-0

    Article  Google Scholar 

  26. Luz, C.F., et al.: Rapid analysis of diagnostic and antimicrobial patterns in R (RadaR): interactive open-source software app for infection management and antimicrobial stewardship. J. Med. Internet Res. 21(6), e12843 (2019). https://doi.org/10.2196/12843

    Article  Google Scholar 

  27. Willemsen, I., Kluytmans, J.: The infection risk scan (IRIS): standardization and transparency in infection control and antimicrobial use. Antimicr. Resist. Infect. Control 7, 38 (2018)

    Article  Google Scholar 

  28. Patton, M.Q.: Enhancing the quality and credibility of qualitative analysis. Health Serv. Res. 34(5 Pt 2), 1189–1208 (1999)

    Google Scholar 

  29. Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977). https://doi.org/10.2307/2529310

    Article  MATH  Google Scholar 

  30. Van Velsen, L., et al.: Designing eHealth that matters via a multidisciplinary requirements development approach. JMIR Res. Protoc. 2(1), e21 (2013). https://doi.org/10.2196/resprot.2547

    Article  Google Scholar 

  31. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Ass Inf. Syst. 24, 28 (2009)

    Google Scholar 

  32. Hysong, S.J., et al.: Audit and feedback and clinical practice guideline adherence: making feedback actionable. Implement Sci. 1, 9 (2006). https://doi.org/10.1186/1748-5908-1-9

    Article  Google Scholar 

  33. Wang, Y., et al.: Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Change 126, 3–13 (2018)

    Article  Google Scholar 

  34. Hekler, E.B., et al.: Agile science: creating useful products for behavior change in the real world. Transl. Behav. Med. 6(2), 317–328 (2016). https://doi.org/10.1007/s13142-016-0395-7

    Article  Google Scholar 

  35. Charani, E., Holmes, A.H.: Antimicrobial stewardship programmes: the need for wider engagement. BMJ Qual. Saf. 22, 885–887 (2013). https://doi.org/10.1136/bmjqs-2013-002444

    Article  Google Scholar 

  36. Zimmerman, B., et al.: Front-line ownership: generating a cure mindset for patient safety. Healthcare Pap. 13(1), 6–22 (2013)

    Article  Google Scholar 

  37. Kip, H., et al.: Putting the value in VR how to systematically and iteratively develop a value-based VR application with a complex target group. In: CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), Glasgow, Scotland (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre for eHealth and Wellbeing Research, University of Twente, Enschede, The Netherlands

    Julia Keizer, Nienke Beerlage-de Jong & J. E. W. C. van Gemert-Pijnen

  2. Department of Medical Microbiology and Infection Control, University Medical Centre Groningen, Groningen, The Netherlands

    Nienke Beerlage-de Jong & J. E. W. C. van Gemert-Pijnen

  3. Department of Medical Microbiology and Infection Control, Hospital Group Twente, Almelo, Hengelo, The Netherlands

    Nashwan Al Naiemi

  4. LabMicTA, Hengelo, The Netherlands

    Nashwan Al Naiemi

Authors
  1. Julia Keizer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nienke Beerlage-de Jong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nashwan Al Naiemi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. E. W. C. van Gemert-Pijnen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nienke Beerlage-de Jong .

Editor information

Editors and Affiliations

  1. Aalborg University, Aalborg, Denmark

    Sandra Burri Gram-Hansen

  2. Aalborg University, Aalborg, Denmark

    Tanja Svarre Jonasen

  3. Eindhoven University of Technology, Eindhoven, The Netherlands

    Cees Midden

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Keizer, J., Jong, N.Bd., Naiemi, N.A., van Gemert-Pijnen, J.E.W.C. (2020). Persuading from the Start: Participatory Development of Sustainable Persuasive Data-Driven Technologies in Healthcare. In: Gram-Hansen, S., Jonasen, T., Midden, C. (eds) Persuasive Technology. Designing for Future Change. PERSUASIVE 2020. Lecture Notes in Computer Science(), vol 12064. Springer, Cham. https://doi.org/10.1007/978-3-030-45712-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-45712-9_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45711-2

  • Online ISBN: 978-3-030-45712-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation