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Record W1997006288 · doi:10.1542/peds.2013-3518

Socioeconomic Status and Wait Times for Pediatric Surgery in Canada

2014· article· en· W1997006288 on OpenAlex
Mark Szynkaruk, Derek Stephens, Gregory H. Borschel, James G. Wright

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePEDIATRICS · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineReferralSocioeconomic statusSocial deprivationOdds ratioOddsHealth careFamily medicinePediatricsDemographyEmergency medicineGerontologyLogistic regressionEnvironmental healthPopulationInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Even in a publicly funded health care system, access to care may be related to socioeconomic status (SES). For children, delays in surgical procedures can have profound functional, social, and psychological effects with lifelong impact. The purpose of this study was to determine whether SES was related to meeting surgical wait time access targets for children. We also assessed the effects of gender, age, and distance to hospital on meeting access targets. METHODS: Patient addresses, referral wait times, and surgical wait times were obtained for 39,287 surgical procedures between 2005 and 2011 at the Hospital for Sick Children. Using census data, we derived household income quintile, distance to hospital, and indices of social and material deprivation. These indices were correlated with the percentage of children meeting clinic referral wait time targets and receiving surgery within the Pediatric Canadian Access Targets for Surgery. RESULTS: Across all SES quintiles, 33% of children exceeded their referral wait time targets, and 28% of children exceeded their surgical wait time targets. Indices of material or social deprivation and age did not correlate with the time from referral to clinic consultation (P = .54, .40, and .58, respectively). Gender was statistically significant (P < .001), but the difference was small (odds ratio = 0.87 for girls). Distance was also statistically significant (P = .005), and these differences translate into clinically meaningful differences in meeting wait time targets. Regarding completion of surgical procedures, material deprivation, distance, and gender did not correlate with longer wait times for surgery (P = .44, .09, .59, respectively). Social deprivation was statistically significant (P = .02) but not clinically significant. Increasing patient age was significantly associated with increased proportion of out-of-window wait times (P < .001). SES did not affect the timeliness of completion of surgery even when the urgency of the surgery (priority level based on diagnosis) was considered. CONCLUSIONS: SES does not predict the timeliness of delivery for pediatric surgical services.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.333
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it