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Record W3119145546 · doi:10.1111/trf.16243

A prospective multi‐faceted interventional study of blood bank technologist screening of red blood cell transfusion orders: The <scp>START</scp> study

2021· article· en· W3119145546 on OpenAlexaff
Amie Kron, Allison Collins, Christine Cserti‐Gazdewich, Jacob Pendergrast, Kathryn E. Webert, Lani Lieberman, Michelle P. Zeller, Sheila Rutledge Harding, Susan Nahirniak, Oksana Prokopchuk‐Gauk, Yulia Lin, Brent Mendez, Chantal Armali, Christina Lee, Danielle Watson, Dena Arnott, Fengju Xun, H. Blain, Heather Panchuk, Hertha Hughes, K. Chorneyko, Michael Angers, Nicole Pilutti, Ryan Lett, Shauna Dowsley, Theodora Ruijs, Tracy Cupido, Tracy Kichinko, Troy Thompson, Zohreh Afshar‐Ghotli, Jeannie Callum

Bibliographic record

VenueTransfusion · 2021
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsWilliam Osler Health SystemCARE CanadaSouth Bruce Grey Health CentreTrillium Health CentreAlberta Hospital EdmontonWindsor Regional HospitalHealth Sciences CentreUniversity Health NetworkNorthwestern PolytechnicUniversity of AlbertaLakeridge HealthSaskatchewan Health AuthorityOntario Stroke NetworkMcMaster UniversitySaskatchewan HealthBrantford Energy (Canada)University of TorontoSunnybrook Health Science CentreCanadian Blood Services
Fundersnot available
KeywordsBlood bankMedicineRed blood cellProspective cohort studyBlood transfusionBlood cellEmergency medicineMedical emergencySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Transfusion of red blood cells (RBC) is a common procedure, which when prescribed inappropriately can result in adverse patient outcomes. This study sought to determine the impact of a multi-faceted intervention on unnecessary RBC transfusions at hospitals with a baseline appropriateness below 90%. STUDY DESIGN AND METHODS: A prospective medical chart audit of RBC transfusions was conducted across 15 hospitals. For each site, 10 RBCs per month transfused to inpatients were audited for a 5-month pre- and 10-month post-intervention period, with each transfusion adjudicated for appropriateness based on pre-set criteria. Hospitals with appropriateness rates below 90% underwent a 3-month intervention which included: adoption of standardized RBC guidelines, staff education, and prospective transfusion order screening by blood bank technologists. Proportions of RBC transfusions adjudicated as appropriate and the total number of RBC units transfused per month in the pre- and post-intervention period were examined. RESULTS: Over the 15-month audit period, at the 13 hospital sites with a baseline appropriateness below 90%, 1950 patients were audited of which 81.2% were adjudicated as appropriate. Proportions of appropriateness and single-unit orders increased from 73.5% to 85% and 46.2% to 68.2%, respectively from pre- to post-intervention (P < .0001). Pre- and post-transfusion hemoglobin levels and the total number of RBCs transfused decreased from baseline (P < .05). The median pre-transfusion hemoglobin decreased from a baseline of 72.0 g/L to 69.0 g/L in the post-intervention period (P < .0001). RBC transfusions per acute inpatient days decreased significantly in intervention hospitals, but not in control hospitals (P < .001). The intervention had no impact on patient length of stay, need for intensive care support, or in-hospital mortality. CONCLUSION: This multifaceted intervention demonstrated a marked improvement in RBC transfusion appropriateness and reduced overall RBC utilization without impacts on patient safety.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.272
Teacher spread0.246 · 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 designBench or experimental
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

Citations18
Published2021
Admission routes1
Has abstractyes

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