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Accepted for/Published in: Journal of Participatory Medicine

Date Submitted: Apr 21, 2023
Open Peer Review Period: Apr 21, 2023 - Jun 16, 2023
Date Accepted: Oct 19, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Developing a Digital Tool to Calculate Protein Quality in Plant-Based Meals of Older Adults: User Engagement Design Approach With End Users

van Dam L, Christensen SH, Tetens I, Riley W III, Timmer M, Suciu G Jr, Marin I, De Groot L, Grootswagers P

Developing a Digital Tool to Calculate Protein Quality in Plant-Based Meals of Older Adults: User Engagement Design Approach With End Users

J Particip Med 2024;16:e48323

DOI: 10.2196/48323

PMID: 39700495

PMCID: 11695958

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The co-creation of a digital tool that ensures sufficient protein quality in plant-based meals of older adults; a User-Centered Design Approach

  • Lotte van Dam; 
  • Sine Højlund Christensen; 
  • Inge Tetens; 
  • William Riley III; 
  • Mariëlle Timmer; 
  • George Suciu Jr; 
  • Iuliana Marin; 
  • Lisette De Groot; 
  • Pol Grootswagers

ABSTRACT

Background:

The global shift towards plant-based diets has been increasing, with more people making the transition for various reasons. In vulnerable subgroups such as patients or older adults, the transition to plant-based diets deserves attention due to the potentially detrimental consequences of lower protein quantity and quality. Guidance in meal formulation to assure optimal protein quantity and quality is needed. This guidance is a complex and time-consuming task for consumers but a viable task for artificial intelligence.

Objective:

We aimed to develop a digital tool that uses artificial intelligence to ensure sufficient protein quality in plant-based meals for older adults, utilizing a co-creation design approach that involved interdisciplinary collaboration.

Methods:

Together with Dutch and Danish dietitians and older adults as potential end-users, three focus groups were held to identify their preferences and dealbreakers. Focus group sessions were based on a User-Task-Environment analysis, the Walt-Disney method, the Brainwriting method, and a Cognitive Walkthrough. The front-end and back-end development of the tool took place in parallel and well-synced to the focus group sessions.

Results:

Both dietitians and older adults from Dutch and Danish sites expressed high interest in a tool that provides feedback and background information on protein quality, sustainability, and (micro)nutrients. The User-Task-Environment analysis delivered useful details on the user, the task of the tool, and the environment in which the tool will be used. The Walt-Disney method delivered usable and realistic solutions to the four challenges presented. Thirty-two percent of the solutions on all themes presented with the Brainwriting method appeared to be highly feasible and relevant, and these suggestions were integrated into the tool. The Cognitive Walkthrough identified certain screens as unclear, necessitating revisions for improved understandability.

Conclusions:

The results of the focus groups revealed the need for a tool in the guidance of meal planning to ensure sufficient protein quality. A first co-created prototype of the tool is ready, which will be further developed and optimized according to the needs of end users. This user-driven tool, designed to guide meal composition for sufficient protein quality, holds promise for enhancing older adults' dietary choices and health outcomes as they transition to plant-based diets.


 Citation

Please cite as:

van Dam L, Christensen SH, Tetens I, Riley W III, Timmer M, Suciu G Jr, Marin I, De Groot L, Grootswagers P

Developing a Digital Tool to Calculate Protein Quality in Plant-Based Meals of Older Adults: User Engagement Design Approach With End Users

J Particip Med 2024;16:e48323

DOI: 10.2196/48323

PMID: 39700495

PMCID: 11695958

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