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Record W4211008607 · doi:10.1177/1753495x221074613

Optimal management of post-discharge postpartum hypertensive disorders of pregnancy: a quality improvement initiative

2022· article· en· W4211008607 on OpenAlexaff
Alexia Tanguay Lecomte, Lauriane Vittoz, Nadine Sauvé, Marie‐Ève Roy‐Lacroix, Mandy Malick, Anne‐Marie Côté

Bibliographic record

VenueObstetric Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsMedicinePregnancyObstetricsPostpartum periodOutpatient clinicBlood pressureHypertensive disorderPreeclampsiaInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Postpartum hypertensive disorders of pregnancy occur in 2-5% of pregnancies. It is a major cause of urgent postpartum consultation and is associated with life-threatening complications. Our objective was to evaluate if local management of postpartum hypertensive disorders of pregnancy was congruent with expert recommendations. Methods: We conducted a quality improvement initiative through a retrospective single-centre cross-sectional study. All women over 18-year-old consulting emergently for hypertensive disorders of pregnancy in the first six weeks postpartum, from 2015 to 2020, were eligible. Results: We included 224 women. Optimal management of postpartum hypertensive disorders of pregnancy was observed in 65.0%. While diagnosis and laboratory work-up were excellent, adequate blood pressure surveillance and recommendations upon discharge of an outpatient postpartum episode (69.7%) did not meet expectations. Conclusion: Efforts should be targeted to improve discharge recommendations on optimal blood pressure surveillance after delivery for women at risk for hypertensive disorders of pregnancy and for postpartum hypertensive disorders of pregnancy in women treated as outpatients.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.036
GPT teacher head0.292
Teacher spread0.256 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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