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Record W1987754940 · doi:10.1002/nur.21527

Unit‐level time trends and seasonality in the rate of hospital‐acquired pressure ulcers in US acute care hospitals

2013· article· en· W1987754940 on OpenAlexaboutno aff
Jianghua He, Vincent S. Staggs, Sandra Bergquist‐Beringer, Nancy Dunton

Bibliographic record

VenueResearch in Nursing & Health · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSeasonalityQuarter (Canadian coin)DemographyAcute careGerontologyHealth careGeographyBiology

Abstract

fetched live from OpenAlex

This is a longitudinal study of the trend and seasonality in unit-level hospital-acquired pressure ulcer (HAPU) rates from 2004 to 2011, for 5447 acute care nursing units in 733 US hospitals. Unit-level HAPU rates decreased significantly during 2004-2007 (OR = 0.91, 95% CI [0.90, 0.91]) and the decreasing trend was much stronger during 2008-2011 (OR = 0.84 [0.83, 0.85]). Seasonal variations in HAPU rates were strong and consistent during 2004-2008, with the highest HAPU rate in Quarter 1 (Jan-Mar) and the lowest rate in Quarter 3 (Jul-Sep). During 2009-2011, the magnitude of this seasonality was greatly reduced, and only HAPU rate in Quarter 1 remained significantly higher than HAPU rates in other quarters.

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)0.009
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 score0.489
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
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 head0.095
GPT teacher head0.500
Teacher spread0.405 · 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

Citations31
Published2013
Admission routes1
Has abstractyes

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