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Record W4366979530 · doi:10.56885/plwr6547

A Quality Improvement Initiative to Decrease the Incidence of Post Operative Wound Complications Following Minor Level Amputations

2023· article· en· W4366979530 on OpenAlexaff
Sindiswa Ntloko, Amanda L. Mayo, Anastasia Derbakova, Ahmed Kayssi

Bibliographic record

VenueLimb Preservation Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsMedicinePDCAAmputationPatient educationBrochureIncidence (geometry)Quality managementPhysical therapyEmergency medicineSurgeryNursingOperations management

Abstract

fetched live from OpenAlex

atient education is important for improving the ability to manage one’s health and optimize clinical outcomes. We identified a paucity in educational materials for patients who undergo a partial foot amputation at our institution and developed an educational brochure to address this deficit as part of a quality improvement initiative. Our aim was to increase the proportion of patients receiving pre- operative education and improve the preparation of vascular surgery patients who will undergo partial foot amputations. We produced an educational brochure to improve patient knowledge and address any preoperative concerns. The effectiveness of this educational material was assessed with a questionnaire in a cohort of patients followed since January 2023. One Plan-Do-Study-Act (PDSA) cycle has been completed thus far. To date, five patients have completed the questionnaire. Three patients provided verbal responses. Sixty-six percent of patients found that the information in the brochure improved their knowledge and that the language of the brochure was easy to understand. Seventy-five percent of patients were confident with caring for their wound in the post-operative period. Educational materials are an important pillar of patient care, particularly in helping to prepare patients for minor amputations where there is a high failure rate and conversion to major amputations. Our brochure was effective in improving patient awareness and knowledge before surgery.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.688
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.129
GPT teacher head0.411
Teacher spread0.281 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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