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Older adults’ perspectives on big data use in hip fracture research: a qualitative study

Year: 2026

Type: article

Abstract: BACKGROUND: Big data approaches are increasingly applied to hip fracture research, linking clinical, imaging, environmental and genomic data. Yet the views of older adults, whose data underpin these efforts, remain under-explored. METHODS: Focused, semi-structured interviews were conducted with older adults recruited from an orthopaedic ward at an inner city teaching hospital. Eligibility included age 60 years or older and a hip fracture within the previous three months. Fifteen participants took part. Interviews were audio recorded at the bedside, transcribed verbatim, anonymised and analysed using Braun and Clarke's reflexive thematic analysis. RESULTS: Participants commonly reported limited familiarity with the term big data yet expressed broad support for its use in healthcare. Five themes described their perspectives: limited understanding alongside support for healthcare use; consent and trust as the moral foundation for sharing; altruism and social benefit; preference for treatment and recovery over prevention; and the importance of communication, comprehension and inclusion, including clear feedback and recognition of the digital divide. Hospitals and universities were the most trusted custodians. Governments and private companies elicited scepticism. Many viewed fractures as inevitable, which dampened enthusiasm for preventive analytics, while tangible improvements to treatment and coordination were strongly valued. CONCLUSION: There is clear acceptance of big data use amongst older adults with many perceived benefits. They prioritise trust, clear consent processes, visible public benefit and opportunities for feedback. Framing data initiatives around improving patient recovery and coordination of care, as well as communicating how fracture prevention supports independence, may strengthen social license. Ethical stewardship, transparency and co-design with older adults are essential to sustain confidence and ensure data-driven innovation delivers meaningful benefit.

Source: BMC Geriatrics

DOI: 10.1186/s12877-026-07618-0

Authors: Louis J. Koizia, Su-Lee Xiao, Benjamin H. L. Harris, Michael B. Fertleman

Institutions: Imperial College Healthcare NHS Trust, Imperial College London, University of Oxford, Medical University of Lodz, University College London

Language: English

Topic: Ethics in Clinical Research

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,190