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Record W4280578718 · doi:10.1080/03630269.2022.2073888

Bringing Sickle Cell Disease Care Closer to Home: Feasibility and Efficacy of a Quality Improvement Initiative at a Community Hospital

2022· article· en· W4280578718 on OpenAlexaffabout
Andrew Binding

Bibliographic record

VenueHemoglobin · 2022
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsWilliam Osler Health SystemUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychological interventionDiseaseIntervention (counseling)Health careSickle cell anemiaPediatricsEmergency medicineInternal medicineNursing

Abstract

fetched live from OpenAlex

Comprehensive care for patients with sickle cell disease has been shown to improve morbidity. However, few studies have focused on community hospitals where the burden of disease is highest. From 2017 to 2019, a series of quality improvement interventions was implemented in Brampton, Toronto, ON, Canada, directed toward pediatric and adult sickle cell disease populations. This included a new adult clinic and education directed at patients and healthcare providers. There were 206 visits from 88 unique patients at the clinic and hydroxyurea (HU) uptake increased from 41.0 to 60.0% over that time (p < 0.001). The annual admission rate by adult patients before and after intervention was 90.0 and 75.0% respectively (p = 0.010). The length of stay of pediatric patients decreased from 3.5 to 2.9 days (p = 0.039). These interventions resulted in significant improvements in acute care utilization and HU use by sickle cell disease patients locally, but larger studies are required to confirm these findings.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.139
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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