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Library›Open textbooks›Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment›Economic evidence searches and selection

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Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment · Economic evidence searches and selection

Economic evidence searches and selection

CC BY 4.0 · National Institute for Health and Care Research · approximately 2 min read

Evidence search strategy and study selection

A single search was conducted to identify clinical, technological and economic evidence. Please see Evidence search strategies and study selection for details of the evidence searches.

Included and excluded studies

A total of 1907 records were retrieved by the database searches plus 90 records identified by other sources. Of these, 654 records were excluded as duplicates, resulting in 1343 records to be screened by title and abstract. From this screening, 75 records were selected for full-text retrieval. In total, the review included four studies that informed health state costs and utilities: these are summarised in Table 17

TABLE 17 Key studies selected for the economic model
Study name, design and locationIntervention(s) and comparatorParticipants and setting length of follow-upRelevant outcomes and key findingsEAG comments
Low et al.32 Intervention: Participants: Primary outcome: This study was used to inform TP,TN, FP and FN utilities for hip fracture in the economic model
CEADECT supplementing SECT70-years-old female (base case) Utilities
SingaporeSECT alone Setting: Secondary outcomes:
https://doi.org/10.1016/j.jval.2021.06.005 Comparator: MRI ED Sensitivity, Specificity
Published articleFollow-up: Modelled time horizon: Lifetime Costs
Judge et al.33Intervention: Changes to secondary prevention services at England hospitals between 2003 and 2012 [fracture liaison nurse (FLN) care and orthogeriatrician (OG) care]Participants: 43 health professionals working in fracture prevention services in secondary care Primary outcome: This study was used to inform TP,TN, FP and FN costs (UK) for hip fracture in the economic model
Service evaluation study with health economic analysisComparator: Usual care (no OG or FLN)Setting: Acute hospitals in England Costs
England (UK)Follow-up (patient): 2.6 years from index hip fracture Secondary outcomes:
www.ncbi.nlm.nih.gov/books/NBK385615/ Modelled time horizon in CEA: Lifetime Utilities
Published article
Nwankwo et al.34Intervention: Removable braceParticipants: Patients presented to hospital with ankle fracture Primary outcome: This study was used to inform TP,TN, FP and FN costs and utilities for ankle/foot fracture in the economic model
Trial based CEASetting: Acute hospital Utilities and costs
UK, https://doi.org/10.1302/2633-1462.36.BJO-2022-0036, Published articleFollow-up: Modelled time horizon: 1 year
Rua et al.35Intervention: Immediate MRIParticipants: Participants (n = 132) were recruited from the ED at a hospital in centralPrimary outcome:This study was used to inform TP,TN, FP and FN costs and utilities for Hand/wrist fracture in the economic model
Trial based CEA, UK, Published articleComparator: No further imagingLondon. Setting: ED
Follow-up: Modelled time horizon: 6 months

A list of studies excluded along with the rationale for exclusion is provided in Appendix 3. A PRISMA diagram of the search and screen process is provided in Appendix 2.

← Clinical, service and technological evidence resultsEvidence submitted by companies →

Attribution. Caroline Farmer; Helen Coelho; Madhusubramanian Muthukumar; Sophie Robinson; Robert Meertens; Obioha C Ukoumunne et al. (2026). Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment. National Institute for Health and Care Research. Copyright © 2026 Farmer et al. Licensed under CC BY 4.0. NCBI Bookshelf NBK622219. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.

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