Evidence map›Paper›PMID 40944868›Full record

ArticleCJEM2026

Do billing codes accurately reflect pediatric emergency physician workload? A cross-sectional study.

Erica Qureshi, Kenneth McKinley, Justin Park, Trang Ha, Gord McInnes, Yijinmide Buren, Quynh Doan

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Article in CJEM, 2026. 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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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Erica QureshiFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada. erica.mcdonald@bcchr.ca.ORCID 0000-0003-3035-2886
Kenneth McKinleyChildren's National Hospital, Washington, DC, USA.
Justin ParkFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Trang HaChildren's National Hospital, Washington, DC, USA.
Gord McInnesDepartment of Emergency Medicine, University of British Columbia, Kelowna, BC, Canada.
Yijinmide BurenBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Quynh DoanFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasuring physician workload in the pediatric emergency department (ED) could help optimize staffing, improve department efficiency, and provide a metric to assess interventions aimed at improving pediatric ED flow. However, no accepted measure of physician workload exists. Billing codes, which reflect the perceived complexity of treating a patient, may serve as a surrogate for physician workload. Our objective was to evaluate whether billing codes are a valid surrogate for pediatric ED physician workload.

methodsWe conducted a health records review to determine if billing codes were associated with measures of pediatric ED physician work. Visit information was extracted for 150 pediatric ED visits. We used multivariable ordinal logistic regression models to assess the association between pediatric ED physician-assigned billing codes, with measures of visit complexity, and measures of pediatric ED physician work. We also completed a sensitivity analysis considering a billing auditors-assigned billing codes.

resultsThree measures of pediatric ED physician work were independently associated with increased physician-assigned billing codes: receiving labs (OR 5.6, 95% CI 2.2-15.4), ordering medications (OR 2.3, 95% CI 1.1-5.1), and having specialist consultation (OR 4.4, 95% CI 1.6-12.5). We did not find any statistically significant associations between physician-assigned billing codes and measures of physician work after adjusting for visit complexity, age, and sex. Visit acuity (PaedsCTAS 1-3) was associated with increased billing codes (aOR 5.1 95% CI 1.9-15.7). These results were largely consistent with our sensitivity analysis considering billing auditor-assigned codes.

conclusionsOverall, we found limited evidence supporting the content validity of billing code as a surrogate of pediatric ED physician workload. These results, coupled with the potential value of tracking physician workload, highlight the necessity to develop a valid and reliable measure specifically considering pediatric ED physician workload.

Indexed as

Clinical CodingEmergency Service, HospitalPediatricsPhysiciansWorkloadChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleRetrospective StudiesBilling codesPediatric emergency departmentWorkload

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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.