Evidence map›Paper›PMID 42115960›Full record

ArticleBMC geriatrics2026

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

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

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Louis J KoiziaCutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College London, London, UK. louis.koizia05@imperial.ac.uk.
Su-Lee XiaoImperial College Healthcare NHS Trust, London, UK.
Benjamin H L Harris *Cutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College London, London, UK.ORCID 0000-0002-8154-8953
Michael B Fertleman *Cutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBig 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.

methodsFocused, 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.

resultsParticipants 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.

conclusionThere 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.

Indexed as

Big DataBiomedical ResearchHip FracturesQualitative ResearchAgedAged, 80 and overFemaleHumansMaleMiddle AgedBig dataHip fractureOlder adultsQualitative researchThematic analysis

Identifiers

PMID42115960
PMCPMC13335330

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.