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Article

Identifying Food Preferences and Malnutrition in Older Adults in Care Homes: Co-Design Study of a Digital Nutrition Assessment Tool

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Citation

Connelly J, Swingler K, Rodriguez-Sanchez N & Whittaker AC (2025) Identifying Food Preferences and Malnutrition in Older Adults in Care Homes: Co-Design Study of a Digital Nutrition Assessment Tool. JMIR Aging, 8, Art. No.: e64661. https://doi.org/10.2196/64661

Abstract
Background: Malnutrition is a challenge among older adults and can result in serious health consequences. However, the dietary intake monitoring needed to identify malnutrition for early intervention is affected by issues such as difficulty remembering or needing a dietitian to interpret the results. Objective: This study aims to co-design a tool using automated food classification to monitor dietary intake and food preferences, as well as food-related symptoms and mood and hunger ratings, for use in care homes. Methods: Participants were 2 separate advisory groups and 2 separate sets of prototype testers. The testers for the first prototype were 10 community-dwelling older adults based in the Stirlingshire area in Scotland who noted their feedback on the tool over 2 weeks in a food diary. The second set of testers consisted of 14 individuals (staff: n=8, 57%; and residents: n=6, 43%) based in 4 care homes in Scotland who provided feedback via interview after testing the tool for a minimum of 3 days. In addition, 130 care home staff across the United Kingdom completed the web-based survey on the tool’s needs and potential routes to pay for it; 2 care home managers took part in follow-up interviews. Data were collected through food diaries, a web-based survey, audio recordings and transcriptions of focus groups and interviews, and research notes. Systematic text condensation was used to describe themes across the different types of data. Results: Key features identified included ratings of hunger, mood, and gastrointestinal symptoms that could be associated with eating specific foods, as well as a traffic light system to indicate risk. Issues included staff time, Wi-Fi connectivity, and the accurate recognition of pureed food and fortified meals. Different models for potential use and commercialization were identified, including peer support among residents to assist those considered less able, staff-only use of the tool, care home–personalized database menus for easy meal photo selection, and targeted monitoring of residents considered to be at the highest risk using the traffic light system. Conclusions: The tool was deemed useful for monitoring dietary habits and associated symptoms, but necessary design improvements were identified. These should be incorporated before formal evaluation of the tool as an intervention in this setting. Co-design was vital to help make the tool fit for the intended setting and users.

Keywords
ageing; digital technology; dietary measurement; care homes; co-design; dietary intake; food diary

Journal
JMIR Aging: Volume 8

StatusPublished
Funders
Publication date31/03/2025
Publication date online31/03/2025
Date accepted by journal30/01/2025
URL
PublisherJMIR Publications Inc.
ISSN2561-7605
eISSN2561-7605

People (4)

Dr Jenni Connelly

Dr Jenni Connelly

Senior Lecturer, Sport

Dr Nidia Rodriguez-Sanchez

Dr Nidia Rodriguez-Sanchez

Senior Lecturer, Sport

Professor Kevin Swingler

Professor Kevin Swingler

Professor, Computing Science

Professor Anna Whittaker

Professor Anna Whittaker

Professor of Behavioural Medicine, Sport

Projects (1)

Digital Nutrition Assessment Tool
PI:

Files (1)