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Record W4313387543 · doi:10.17665/1676-4285.20226619

Oscillometric blood pressure measurement in a neonatal intensive care unit: a cross-sectional study

2022· article· en· W4313387543 on OpenAlexaff
Luisa Gomes de Marcio, Mariana Bueno, José Luiz Tatagiba Lamas, Elenice Valentim Carmona

Bibliographic record

VenueOnline Brazilian Journal of Nursing · 2022
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineNeonatal intensive care unitDocumentationBlood pressureCross-sectional studyIntensive careIntensive care unitNursing careNursingMedical emergencyEmergency medicineIntensive care medicinePediatricsComputer science

Abstract

fetched live from OpenAlex

Objective: The study aimed to evaluate how neonatal blood pressure measurement with the oscillometric method is performed by a nursing team, including patient preparation, documentation, materials, and equipment. Method: This cross-sectional study was conducted in a neonatal intensive care unit (NICU) through direct observation of procedures performed by nursing staff. A systematic script was used for observation and documentation of the procedure, patient reparation, and handling of equipment. The results were analyzed through inferential statistics. Results: In a total of 150 observations, 60% or more of steps were classified as correct in 13 of the 26 target items. There was no difference between RNs and nurse technicians concerning the procedure´s success rate (p = 0.3933). Blood pressure measurement was obtained in the first attempt, according to the procedure´s adequacy (p <0.0001). Conclusion: Published recommendations for oscillometric blood pressure measurement were not followed completely. Continuing education should focus on routine procedures to ensure essential aspects of care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.061
GPT teacher head0.373
Teacher spread0.312 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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