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Record W2757019686 · doi:10.1371/journal.pone.0185251

The impact of team based interprofessional comprehensive assessments on the diagnosis and management of diabetic foot ulcers: A retrospective cohort study

2017· article· en· W2757019686 on OpenAlexaffabout
Ranjani Somayaji, James A. Elliott, Reneeka Persaud, Morgan Lim, Laurie Goodman, R. Gary Sibbald

Bibliographic record

VenuePLoS ONE · 2017
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsPublic Health OntarioHumber River Regional HospitalWomen's College HospitalTrillium Health CentreUniversity of TorontoUniversity of Calgary
Fundersnot available
KeywordsRetrospective cohort studyMedicineDiabetic footCohortFoot (prosody)Cohort studyDisease managementDiabetes mellitusIntensive care medicineInternal medicinePathologyAlternative medicineHealth management system

Abstract

fetched live from OpenAlex

BACKGROUND: Diabetic foot ulcers (DFU) are increasingly prevalent, and associated with significant morbidity, mortality, and cost. An interprofessional approach to DFU management is critical given the etiological complexity involved. This study aimed to assess the impact of an interprofessional team approach on DFU diagnosis and management for a cohort of patients receiving treatment in an Ontario Canada home care setting. METHODS: A retrospective cohort study of patients attending a large regional Community Care Access Centre (CCAC) between February 11, 2013-September 30, 2014 was conducted. Following CCAC referral, patients were assessed by an interprofessional team at the Toronto Regional Wound Healing Centre (TRWHC). Those aged > 18 years with a DFU of > 6 weeks duration were included. The primary outcome was the precision of the initial diagnosis relating to DFU etiology (i.e. neuropathic, ischemic or mixed etiology). Secondary outcomes included wound healing, and infection parameters. Analysis was completed with STATA 13.1 (College Stn., TX) of pre-determined outcomes with 2 sided α of 0.05. RESULTS: A total of 308 patients were screened, and 49 patients (67.3% male) of mean age 64.2 years (SD 13.7) with a diagnosis of DFU > 6 weeks duration were included for analysis. Of these, 95% were referred with unspecified DFU, and were reclassified to a precise diagnosis relating to etiology, including neuropathy, ischemia or neuroischemic etiology following TRWHC assessment (p < 0.001). For secondary outcomes post-assessment, healability assessment was conducted for a greater proportion of patients (100% versus 44%, p < 0.001). Infection was identified in a greater number of patients (p = 0.04), and of the 35 patients, 94.5% had deep and surrounding infection, and 88.0% were initiated on systemic antibiotics. Vascular insufficiency was diagnosed in an additional 14.3% of the cohort (p = 0.03). Offloading/footwear assessment was conducted in all patients compared with 30.6% prior to referral (p < 0.001) Dressing change frequency decreased significantly following TRWHC assessment (pre: 4.31/week; post: 3.54/week; p = 0.03). Pain scores decreased (2.18 to 1.67) on the numerical rating scale but this was not statistically significant at the final TRWHC assessment. Notably, 36.7% (18/49) reported improved quality of life by the second TRWHC encounter. CONCLUSIONS: Interprofessional care teams are associated with improved diagnostic acumen and wound healing outcomes over conventional community care services. Initiatives including best practice interprofessional diabetic foot care pathways are recommended with timely vascular management of ischemia, treatment of deep and surrounding infection as well as the availability of foot care and footwear.

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)0.000
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 score0.014
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.060
GPT teacher head0.357
Teacher spread0.297 · 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

Citations27
Published2017
Admission routes2
Has abstractyes

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