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Record W2326041724 · doi:10.1155/2001/539804

How an Audit of Epidural Patients in a Community Hospital Setting Resulted in the Development of a Formal Acute Pain Management Service

2001· article· en· W2326041724 on OpenAlexaffabout
David Goldstein, Elizabeth G. VanDenKerkhof, Rebecca Sherlock, Judy Sherlock, Susan Harper

Bibliographic record

VenuePain Research and Management · 2001
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsMedicineAuditFentanylBupivacaineAnesthesiaMorphineOpioid

Abstract

fetched live from OpenAlex

PURPOSE: To describe the results of an audit of patients who received epidural analgesics postoperatively and the subsequent development of a formal acute pain management service in a community hospital. METHODS: To understand how epidural analgesia was being used to treat postoperative pain at the Peterborough Regional Health Centre, Peterborough, Ontario, a retrospective chart review was performed. Audits were performed on 178 patients who had received epidural analgesia postoperatively from October 1994 to May 1995. Data pertaining to demographics, epidural analgesia, pain scores and side effects were collected. RESULTS: Sixty-one per cent of patients received bupivacaine/ fentanyl infusions, and 39% received epidural morphine boluses. More than 60% of patients reported no pain postoperatively. Patients who received bupivacaine/fentanyl were more likely than those who received epidural morphine to also receive co-analgesia and transitional analgesia. Patients who received epidural morphine were more likely than those who received bupivacaine fentanyl to experience respiratory depression, hypotension and pruritus. Patients were followed by the anesthesiologist who provided the anesthetic. Anesthesiologists practised independently, and formal policies and procedures did not exist. CONCLUSIONS: As a result of the audit, an acute pain management service was developed. This included a team that did daily rounds and consisted of a nurse clinician and an anesthesiologist who was assigned to the service on a weekly basis. A committee was created, and formalized policies and procedures were established. Standardized order sheets, data sheets and a computerized database were developed. Reports for administrative and quality improvement purposes were generated monthly. Education programs were developed. Co-analgesia and transitional analgesia are now part of routine care, and epidural catheter placement close to the site of incision is encouraged. A postoperative nausea and vomiting algorithm, and a treatment regimen for pruritus have also been implemented.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.069
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.058
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.043
GPT teacher head0.325
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2001
Admission routes2
Has abstractyes

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