Evidence map›Paper›PMID 39503861›Full record

ArticlePediatric radiology2025

Sociodemographic predictors of imaging utilization in children with right lower quadrant pain.

Michael P George, Patrice Melvin, Amanda W Grice, Valerie L Ward

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Article in Pediatric radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Michael P GeorgeBoston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA. michael.george@childrens.harvard.edu.
Patrice MelvinBoston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
Amanda W GriceBoston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
Valerie L WardBoston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInequities in health care access lead to inequities in outcome. In recent years, health outcome disparities have been documented in children with acute appendicitis and sociodemographic predictors of imaging utilization have not been adequately assessed.

objectiveThe purpose of our study is to assess sociodemographic predictors for the diagnostic imaging of children with right lower quadrant (RLQ) pain. Our hypothesis is that disparities exist in imaging utilization. MATERIALS AND

methodsOur nationwide retrospective cohort study of the Pediatric Health Information System (PHIS) database queried emergency department encounters for children aged 0-18 years presenting with RLQ pain (ICD code CM R10.31) between January 2018 and September 2023. Primary exposures included neighborhood-level sociodemographic metrics as measured by Child Opportunity Index, race/ethnicity, and insurance status. Outcomes included no diagnostic imaging, diagnostic imaging with radiography alone, ultrasonography (US), computed tomography (CT), and magnetic resonance imaging (MRI). Multivariable logistic regression analyses assessed modality usage with respect to the primary exposures after controlling for demographic (age, gender) and additional (hospital geographic region, time of imaging) covariates. To avoid the perpetuation of bias, reference categories were determined by the lowest numerical value for each covariate.

resultsIn total, 100,161 patient encounters met inclusion criteria (mean patient age 11.2 years ± 3.9; 59.3%, n = 59,416 females). Imaging utilized was US (78.0%; n = 78,115), CT (16.4%, n = 16,405), no imaging (13.9%, n = 13,894), radiography alone (4.4%, n = 4,429), and MRI (3.1%, n = 3,148). The most predictive factors for no imaging were moderate, low, and very low Child Opportunity Index (aOR 1.25, 1.17, and 1.18 [95% CI 1.10-1.33] compared to very high Child Opportunity Index); Black race/ethnicity (aOR 1.26 [95% CI 1.11-1.44] compared to White or Asian race/ethnicity); and public or other insurance (aOR 1.23 and 1.32 [95% CI 1.18-1.41] compared to commercial insurance). The most predictive factors for radiography alone were Black race/ethnicity (aOR 1.30 [95% CI 1.17-1.45] compared to Hispanic race/ethnicity) and public or other insurance (aOR 1.26 [95% CI 1.11-1.44] compared to commercial). The most predictive factors for US were very-high Child Opportunity Index (aOR 1.16 [95% CI 1.09-1.22] compared to very low Child Opportunity Index); Asian, NH-White, or Hispanic race/ethnicity (aOR 1.33, 1.31, 1.30 [95% CI 1.18-1.40] compared to Black race/ethnicity); and commercial insurance (aOR 1.20 [95% CI 1.16-1.25] compared to public insurance). The most predictive factor for CT was White race/ethnicity (aOR 1.26 [95% CI 1.11-1.43] compared with Asian race/ethnicity) and the most predictive factor for MRI was Hispanic race/ethnicity (aOR 1.49 [95% CI 1.17-1.61] compared with Black race/ethnicity). The greatest predictor of cross-sectional imaging was a hospital's region, with CT most likely in southern hospitals (aOR 4.09 [95% CI 2.17-7.70] compared with northeast hospitals). Patient Child Opportunity Index did not predict the likelihood of cross-sectional imaging with CT or MRI in tertiary pediatric centers.

conclusionSociodemographic disparities exist in the imaging of children presenting to tertiary pediatric hospitals with RLQ pain. Future studies are needed to analyze the causes of such disparities both on hospital and departmental levels.

Indexed as

Abdominal PainAppendicitisDiagnostic ImagingHealthcare DisparitiesAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesSociodemographic FactorsSocioeconomic FactorsUnited StatesAppendicitisChild Opportunity IndexHealth equityRadiation exposureSociodemographic

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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.