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POLST forms within an acute care setting

2012· article· en· W2162106805 on OpenAlexaff
Rachael Fullam, Karen Detering, William Silvester

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2012
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCARE Canada
Fundersnot available
KeywordsMedicineAuditResuscitation OrdersAdvance care planningAcute hospitalAcute careMedical emergencyEmergency medicineResuscitationFamily medicineCardiopulmonary resuscitationHealth careNursingPalliative care

Abstract

fetched live from OpenAlex

There are only a limited number of studies on the content and completion of Physician Orders for Life Sustaining Treatment (POLST) forms. No study has specifically examined the use of POLST forms within an acute hospital setting. We audited 1096 randomly selected Resuscitation Plans, a locally developed form of POLST, completed in a university hospital during 2011. Matching patient identification numbers resulted in 789 individual patients (49.7% Male; 64% aged 75+), of whom 187 had multiple plans during the audit period. The most recent plan for each patient was examined for content. Plans were most commonly completed by Registrars (539, 68.3%), and 99.7% of plans were signed. The majority of plans indicated orders for treatment limitation (608, 77.1%), and these patients were significantly older than patients with an order for full treatment (p=.001). Information on the decision making process was completed in 540 cases (68.4%). Of these, 63% had evidence that the patient/family had been involved in, or were informed of the decision. There was a significant association between limitation of treatment and evidence of family/patient involvement in the decision making process (p=.001). Forty-nine percent of patients with multiple plans had orders in the most recent plan for less-aggressive treatment, compared to the prior plan. A further 44% had no changes to treatment orders over consecutive plans. The use of POLST forms in an acute care environment is dynamic and complex. Evidence of patient/family involvement in the decision making process should increase as local advance care planning programs progress.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.112
GPT teacher head0.460
Teacher spread0.349 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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