Using real-world evidence to evaluate the long-term health and economic impact of the digital tool Grohealth W8Buddy supporting access to specialist weight management services: a protocol for a cohort observational study
Pranay Singh Deo, Amy Grove, Mengxi Zhang, Keith R Abrams, Peter Auguste, Thomas M Barber, Tracy Gazeley, Richard Green, Frances Griffiths, Jonathan Hazlehurst, Siew Wan Hee, Amit Kaura, Akhila Mallipedhi, Sarah O’Toole, Arjun Panesar, Nicholas Parsons, Emma Scott

TL;DR
This study evaluates a digital weight management tool to improve access and outcomes compared to traditional NHS services.
Contribution
The study provides real-world evidence on the long-term effectiveness and cost-effectiveness of a digital weight management platform.
Findings
The study will compare health outcomes like weight loss and treatment time between digital and standard NHS pathways.
It will assess patient and healthcare professional experiences with the digital tool.
Results will inform the scalability and sustainability of digital weight management services.
Abstract
Obesity affects over a quarter of the UK population and can lead to serious health issues. NHS Specialist Weight Management Services (WMS) offer treatments including lifestyle advice, psychological support and medications, but access and availability vary by region. Although around 4 million people could be eligible for NHS Specialist WMS annually, capacity is limited to 35 000, severely limiting overall access for those who need it. While digital technology has started to be used in WMS, more evidence is needed to confirm its long-term effectiveness, acceptability and cost-effectiveness. This study explores the use of Gro Health W8Buddy, a digital platform and app providing remote Specialist WMS. It aims to determine the long-term health benefits of remote WMS pathway Gro Health W8Buddy compared with standard NHS WMS delivered in hospitals, and to improve patients access to services.…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMobile Health and mHealth Applications · Physical Activity and Health · Obesity and Health Practices
