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Implementation of best practice in the prevention of heel pressure ulcers in the acute orthopedic population

2010· article· en· W1999364985 on OpenAlexaffabout
Karen E. Campbell, M. Gail Woodbury, Pamela E. Houghton

Bibliographic record

VenueInternational Wound Journal · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineHeelOrthopedic surgeryDelphi methodPhysical therapySurgery

Abstract

fetched live from OpenAlex

To implement and evaluate a heel pressure ulcer prevention program (HPUPP) for orthopaedic patients. Program development of HPUPP involved input from administrators, staff and adult patients on an orthopaedic service in an academic tertiary care facility, located in a small urban centre in Canada. Prospective evaluation was conducted. Consensus exercises with clinical staff and administrators (Delphi and Nominal group) were used to, evaluate current practices, select a heel protective device, and develop key aspects of the HPUPP. HPUPP involved an individualised, bedside, staff education program, a team approach to improve patient mobility and use of a heel protective device. A 2-inch foam wedge covered in washable vinyl was placed at the foot of all beds on the orthopedic service. After the program was implemented, the incidence of heel pressure ulcers was 0%, which was a significant reduction compared with pre-implementation levels [13.8% (95% confidence interval 8-18%)]. Key components of the program success were initial and ongoing support from administration and surgeons, incorporation of feedback from clinical staff and patients, and keeping the program simple. Heel PU can be prevented in most orthopaedic patients using a universal heel PU prevention program.

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)0.004
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 score0.178
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.474
Teacher spread0.443 · 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
Published2010
Admission routes2
Has abstractyes

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