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Reducing CBC Clotting Rates in the Neonatal Patient Care Areas

2016· article· en· W2502313205 on OpenAlexaff
Jennifer A. McCoy, Tanya Tichon, Michael Narvey

Bibliographic record

VenueBMJ Quality Improvement Reports · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsMedicineIntensive care medicinePediatrics

Abstract

fetched live from OpenAlex

Performing a complete blood count (CBC) is a common test performed in neonatal intensive care. Samples reported as "clotted" are not able to be analyzed and require redraw. A perceived "high" clotting rate elicits frustration among team members and has negative effects on patient flow and patient satisfaction. Process mapping and a root cause analysis determined that an educational intervention was required to optimize blood collection skills of front-line nurses. Through four rapid PDSA cycles over a three year period, the neonatal patient care areas were able to decrease their CBC clotting rates from 30% (monthly rate when the problem was identified) to 16% (yearly average at the end of the project). The CBC clotting rates continue to decease over time due to the integration of a multi-faceted educational plan into biannual education days designed for current staff nurses, as well as into the orientation plan for newly hired and student nurses.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.265
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
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 head0.087
GPT teacher head0.467
Teacher spread0.379 · 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.

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

Citations6
Published2016
Admission routes1
Has abstractyes

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