Digital health interventions for osteoporosis and post-fragility fracture care. (March 2022)

• Record Type: Journal Article
• Authors: Gupta, Amit; Maslen, Christina; Vindlacheruvu, Madhavi; Abel, Richard L.; Bhattacharya, Pinaki; Bromiley, Paul A.; Clark, Emma M.; Compston, Juliet E.; Crabtree, Nicola; Gregory, Jennifer S.; Kariki, Eleni P.; Harvey, Nicholas C.; McCloskey, Eugene; Ward, Kate A.; Poole, Kenneth E.S.
• Is Part Of: Therapeutic advances in musculoskeletal disease. Volume 14(2022)
• Publication Date: 2022-03
• Subjects: digital health -- osteoporosis -- fracture -- bone density; Musculoskeletal system -- Diseases -- Periodicals; Musculoskeletal Diseases -- Periodicals; 616.7
• DOI: 10.1177/1759720X221083523
• Languages: English
• ISSNs: 1759-720X

Abstract

The growing burden from osteoporosis and fragility fractures highlights a need to improve osteoporosis management across healthcare systems. Sub-optimal management of osteoporosis is an area suitable for digital health interventions. While fracture liaison services (FLSs) are proven to greatly improve care for people with osteoporosis, such services might benefit from technologies that enhance automation. The term 'Digital Health' covers a variety of different tools including clinical decision support systems, electronic medical record tools, patient decision aids, patient apps, education tools, and novel artificial intelligence (AI) algorithms. Within the scope of this review are AI solutions that use algorithms within health system registries to target interventions. Clinician-targeted, patient-targeted, or system-targeted digital health interventions could be used to improve management and prevent fragility fractures. This review was commissioned by The Royal Osteoporosis Society and Bone Research Academy during the production of the 2020 Research Roadmap (https://theros.org.uk ), with the intention of identifying gaps where targeted research funding could lead to improved patient health. We explore potential uses of digital technology in the general management of osteoporosis. Evidence suggests that digital technologies can support multidisciplinary teams to provide the best possible patient care based on current evidence and to support patients in self-management. However, robust randomised controlled studies are still needed to assess the effectiveness and cost-effectiveness of these technologies.