IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i13p8096-d853845.html
   My bibliography  Save this article

Applying a User Centred Design Approach to Optimise a Workplace Initiative for Wide-Scale Implementation

Author

Listed:
  • Ana D. Goode

    (School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD 4072, Australia)

  • Matthew Frith

    (Kin8, The Commons QV, 3 Albert Coates Lane, Melbourne, VIC 3000, Australia)

  • Sarah A. Hyne

    (SSH Design, Fitzroy North, Melbourne, VIC 3068, Australia)

  • Jennifer Burzic

    (School of Public Health, The University of Queensland, Brisbane, QLD 4072, Australia)

  • Genevieve N. Healy

    (School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD 4072, Australia)

Abstract

Translation of an effective research intervention into a program able to be implemented in practice typically requires adaptations to ensure the outcomes can be achieved within the applied setting. User centred design (UCD) methodologies can support these iterative adaptations, with this approach being particularly well suited to peer-led interventions, due to a focus on usability. We describe and reflect on the UCD approach that was applied to optimise an online, peer-led workplace health promotion initiative (BeUpstanding: ACTRN12617000682347) to be suitable for wide-scale implementation and evaluation. Optimisation was aligned against the indicators of the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, with UCD methodologies (discovery interviews, persona and scenario mapping, facilitated workshops, surveys and prototyping) employed to enhance the program according to all RE-AIM dimensions. The core team (content experts, implementation scientist, interaction designer, software developer, business developer) worked closely with policy and practice partners and end users (workplace champions, management and staff) to iteratively develop and test across the RE-AIM indicators. This description and reflection of the process of applying UCD and the RE-AIM framework to the optimisation of BeUpstanding is intended to provide guidance for other behaviour change research adaptations into practice.

Suggested Citation

  • Ana D. Goode & Matthew Frith & Sarah A. Hyne & Jennifer Burzic & Genevieve N. Healy, 2022. "Applying a User Centred Design Approach to Optimise a Workplace Initiative for Wide-Scale Implementation," IJERPH, MDPI, vol. 19(13), pages 1-18, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:8096-:d:853845
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/13/8096/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/13/8096/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shelton, Rachel C. & Lee, Matthew & Brotzman, Laura E. & Crookes, Danielle M. & Jandorf, Lina & Erwin, Deborah & Gage-Bouchard, Elizabeth A., 2019. "Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review," Social Science & Medicine, Elsevier, vol. 220(C), pages 81-101.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. McMillan, Cassie & Schaefer, David R., 2021. "Comparing targeting strategies for network-based adolescent drinking interventions: A simulation approach," Social Science & Medicine, Elsevier, vol. 282(C).
    2. Yu-Peng Zhu & Han-Woo Park, 2022. "Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    3. Li, Xiaoyu & Kawachi, Ichiro & Buxton, Orfeu M. & Haneuse, Sebastien & Onnela, Jukka-Pekka, 2019. "Social network analysis of group position, popularity, and sleep behaviors among U.S. adolescents," Social Science & Medicine, Elsevier, vol. 232(C), pages 417-426.
    4. Charry, Karine & Tessitore, Tina, 2021. "I tweet, they follow, you eat: Number of followers as nudge on social media to eat more healthily," Social Science & Medicine, Elsevier, vol. 269(C).
    5. Demissie, Mekdes & Hanlon, Charlotte & Ng, Lauren & Fekadu, Abebaw & Mayston, Rosie, 2021. "Why doesn't God say “enough”? Experiences of living with bipolar disorder in rural Ethiopia," Social Science & Medicine, Elsevier, vol. 270(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:8096-:d:853845. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.