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Record W4361199889 · doi:10.1136/bmjoq-2022-002062

Types of diagnostic errors reported by paediatric emergency providers in a global paediatric emergency care research network

2023· article· en· W4361199889 on OpenAlexaff
Prashant Mahajan, Joseph A. Grubenhoff, Jim Cranford, Maala Bhatt, James M. Chamberlain, Todd P. Chang, Mark D Lyttle, Rianne Oostenbrink, Damian Roland, Richard M. Ruddy, Kathy N. Shaw, Robert Velasco Zuniga, Apoorva Belle, Nathan Kuppermann, Hardeep Singh

Bibliographic record

VenueBMJ Open Quality · 2023
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineEmergency departmentPediatricsAbdominal painConstipationHarmVomitingFamily medicineEmergency medicinePsychiatryInternal medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Diagnostic errors, reframed as missed opportunities for improving diagnosis (MOIDs), are poorly understood in the paediatric emergency department (ED) setting. We investigated the clinical experience, harm and contributing factors related to MOIDs reported by physicians working in paediatric EDs. METHODS: We developed a web-based survey in which physicians participating in the international Paediatric Emergency Research Network representing five out of six WHO regions, described examples of MOIDs involving their own or a colleague's patients. Respondents provided case summaries and answered questions regarding harm and factors contributing to the event. RESULTS: Of 1594 physicians surveyed, 412 (25.8%) responded (mean age=43 years (SD=9.2), 42.0% female, mean years in practice=12 (SD=9.0)). Patient presentations involving MOIDs had common undifferentiated symptoms at initial presentation, including abdominal pain (21.1%), fever (17.2%) and vomiting (16.5%). Patients were discharged from the ED with commonly reported diagnoses, including acute gastroenteritis (16.7%), viral syndrome (10.2%) and constipation (7.0%). Most reported MOIDs (65%) were detected on ED return visits (46% within 24 hours and 76% within 72 hours). The most common reported MOID was appendicitis (11.4%), followed by brain tumour (4.4%), meningitis (4.4%) and non-accidental trauma (4.1%). More than half (59.1%) of the reported MOIDs involved the patient/parent-provider encounter (eg, misinterpreted/ignored history or an incomplete/inadequate physical examination). Types of MOIDs and contributing factors did not differ significantly between countries. More than half of patients had either moderate (48.7%) or major (10%) harm due to the MOID. CONCLUSIONS: An international cohort of paediatric ED physicians reported several MOIDs, often in children who presented to the ED with common undifferentiated symptoms. Many of these were related to patient/parent-provider interaction factors such as suboptimal history and physical examination. Physicians' personal experiences offer an underexplored source for investigating and mitigating diagnostic errors in the paediatric ED.

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.

How this classification was reachedexpand

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)0.010
metaresearch head score (Gemma)0.341
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.341
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.006
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.179
GPT teacher head0.527
Teacher spread0.349 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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