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Record W2398299405

Interprofessional management of a complex continuing care patient admitted with 18 pressure ulcers: a case report.

2011· article· en· W2398299405 on OpenAlexaff
Tamara L. Baker, Jackie Boyce, Peggy Gairy, Greta Mighty

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePodiatristRespiratory therapistWound carePharmacistMuscle contractureNursingPhysical therapyIntensive care medicineSurgeryPharmacy
DOInot available

Abstract

fetched live from OpenAlex

Interprofessional practice (IP)--ie, collaborative practice--involves interaction and knowledge-sharing between professionals from different disciplines in order to meet the needs of the patient. This approach to care is well suited to patients with pressure ulcers, whose complex and varying presentations require the monitoring and consultation of an IP team. A 44-year-old man with anoxic brain injury was admitted to a complex continuing care facility with 18 wounds, 17 of which were pressure ulcers. The patient was at high risk for further skin breakdown as a result of immobility, incontinence, impaired cognition, impaired sensation, low body weight, and positioning challenges secondary to contractures and spasticity. Wounds were located primarily around the patient's sacrum, trochanters, feet, and ankles. The care team included a physician, unit manager, clinical nurse educator, nurses, physiotherapist, occupational therapist, registered dietician, and pharmacist, all with varying roles related to wound care. The patient's wife was concerned about his overall health status and wanted to move him out of his room in a wheelchair to spend time with him. Using current best practices, the IP team implemented management strategies that facilitated wheelchair time during family visits; plus, all 18 wounds healed within 15 months of admission. The patient did not develop any new areas of skin breakdown. IP collaboration facilitated the problem-solving needed to meet the complex needs of this patient.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.340
Teacher spread0.258 · 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.

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

Citations3
Published2011
Admission routes1
Has abstractyes

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