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Record W2507908057 · doi:10.1186/s12909-016-0722-1

Lumbar puncture simulation in pediatric residency training: improving procedural competence and decreasing anxiety

2016· article· en· W2507908057 on OpenAlexafffund
Hugh J. McMillan, Hilary Writer, Katherine Moreau, Kaylee Eady, Erick Sell, Anna-Theresa Lobos, Jenny Grabowski, Asif Doja

Bibliographic record

VenueBMC Medical Education · 2016
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsUniversity of OttawaChildren's Hospital of Eastern Ontario
FundersUniversity of Ottawa
KeywordsAnxietyCompetence (human resources)MedicineSession (web analytics)Test (biology)State-Trait Anxiety InventoryResidency trainingMedical educationPhysical therapyPsychologyPsychiatryContinuing education

Abstract

fetched live from OpenAlex

BACKGROUND: Pediatric residents must become proficient with performing a lumbar puncture (LP) during training. Residents have traditionally acquired LP skills by observing the procedure performed by a more senior resident or staff physician and then attempting the procedure themselves. This process can result in variable procedural skill acquisition and trainee discomfort. This study assessed changes in resident procedural skill and self-reported anxiety when residents were provided with an opportunity to participate in an interactive training session and practice LPs using a simulator. METHODS: All pediatric residents at our institution were invited to participate. Residents were asked to report their post-graduate year (PGY), prior LP attempts and self-reported anxiety scores as measured by the standardized State-Trait Anxiety Inventory - State Anxiety Scale (STAI-S) prior to completing an observed pre-test using an infant-sized LP simulator. Staff physicians observed and scored each resident's procedural skill using a previously published 21-point scoring system. Residents then participated in an interactive lecture on LP technique and were given an opportunity for staff-supervised, small group simulator-based practice within 1 month of the pre-test. Repeat post-test was performed within 4 months. RESULTS: Of the pediatric residents who completed the pre-test (N = 20), 16/20 (80 %) completed both the training session and post-test. Their PGY training level was: PGY1 (38 %), PGY2 (25 %), PGY3 (25 %) or PGY4 (12 %). Procedural skill improved in 15/16 residents (paired t-test; p < 0.001), driven by a significant improvement in skill for residents in PGY1 (P = 0.015) and PGY2 (p = 0.003) but not PGY3 or PGY4. Overall anxiety scores were higher at baseline than at post testing (mean ± SD; 44.8 ± 12.1 vs 39.7 ± 9.4; NS) however only PGY1 residents experienced a significant reduction in anxiety (paired t-test, p = 0.04). CONCLUSION: LP simulation training combined with an interactive training session may be a useful tool for improving procedural competence and decreasing anxiety levels, particularly among those at an earlier stage of residency training.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.037
GPT teacher head0.359
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations63
Published2016
Admission routes2
Has abstractyes

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