Evidence map›Paper›PMID 41397747›Full record

ArticleBMJ open2025

Development and validation of a case identification algorithm for hand trauma patients using health administrative data and the epidemiology of hand trauma in a universal healthcare system.

Chloe R Wong, Karen Tu, Alejandro Hernandez, David R Urbach, Christopher Witiw, Bettina Hansen, Alice Ko, Pascale Tsai, Heather Baltzer

Abstract readValidation Study
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chloe R WongDepartment of Surgery, Division of Plastic, Reconstructive and Aesthetic Surgery, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-3595-5160
Karen TuDepartment of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0883-4934
Alejandro HernandezICES, Toronto, Ontario, Canada.
David R UrbachDepartment of Surgery, Division of General Surgery, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, Canada.
Christopher WitiwDepartment of Surgery, Division of Neurosurgery, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, Canada.
Bettina HansenDepartment of Epidemiology and Biostatistics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Alice KoCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Pascale TsaiMichael DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada.
Heather BaltzerDepartment of Surgery, Division of Plastic, Reconstructive and Aesthetic Surgery, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, Canada heather.baltzer@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur primary objectives were (1) to develop and validate an administrative data algorithm for the identification of hand trauma cases using clinical diagnoses documented in medical records as the reference standard and (2) to estimate the incidence of hand trauma in a universal public healthcare system from 1993 to 2023 using a population-based research cohort constructed using a validated case identification algorithm.

designA population-based retrospective validation study.

settingOntario, Canada, from 2022 to 2023 (validation) and from 1993 to 2023 (estimation).

participantsOur reference standard was the known hand trauma status of 301 patients (N=147 with hand trauma) who presented to an urban tertiary-care hand trauma centre in Toronto, Ontario. PRIMARY AND SECONDARY OUTCOME MEASURES: (1) The sensitivity, specificity, positive and negative predictive values of the optimal algorithm to identify hand trauma using provincial health administrative data and (2) age-standardised and sex-standardised incidence rates of hand trauma among men and women, by age, and by area of patient residence.

resultsThe optimal algorithm had a sensitivity of 73.8% (95% CI 66.6% to 81.0%), specificity of 80.1% (95% CI 73.8% to 86.5%), positive predictive value of 78.1% (95% CI 71.2% to 85.0%) and negative predictive value of 76.1% (95% CI 69.5% to 82.7%). Over the study period, the age-standardised and sex-standardised incidence of hand trauma increased from 384 to 530 per 100 000. The greatest increase was observed in males and individuals aged 0-19 and 80+, with higher incidence rates in Southern compared with Northern Ontario.

conclusionsOur algorithm enabled identification of hand trauma cases using health administrative data suitable for population-level surveillance and health services research, revealing a rising burden of hand trauma from 1993 to 2023. These findings can support improved surveillance, resource allocation and care delivery for this public health problem.

Indexed as

AlgorithmsHand InjuriesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedOntarioRetrospective StudiesEPIDEMIOLOGIC STUDIESHand & wristHealth ServicesTrauma

Identifiers

PMID41397747
PMCPMC12706216

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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.