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International collaboration to develop an interprofessional diabetic foot center at Black Lion Hospital, Ethiopia

2017· preprint· en· W4213322881 on OpenAlexaboutno aff
Bitew Helen

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsCenter (category theory)Diabetic footFoot (prosody)MedicineGeographyPolitical scienceDiabetes mellitusArt

Abstract

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BackgroundType 2 Diabetes (DM2) is increasing everywhere and foot ulcers and amputations are a major cause of morbidity and disability. The International Diabetes Federation estimates there are 1.33 million people with DM2 in Ethiopia and 2.66 million with prediabetes. Studies in urban Ethiopia report a prevalence of 6-6.5%. The Diabetes Center at Tikur Anbessa, the largest university hospital in Ethiopia, sees 800 to 1000 patients with diabetes a week. There are no trained podiatrists or wound care specialists in Ethiopia. The Toronto Addis Ababa Academic Collaboration (TAAAC) was created in 2008 as a unique multi-disciplinary educational initiative, partnering University of Toronto (UofT), Canada with Addis Ababa University (AAU).AimsTo test whether a model for developing a diabetic foot care program used in Guyana, South America (1) would work in Addis Ababa. MethodsThe steps are: assessing system barriers to implementation of best practices, training local key opinion leaders (KOLs) and establishing a center of excellence as a focus for local education and system change.1.tNeeds Assessment: An Endocrinologist visiting Addis Ababa through TAAAC found conditions similar to those existing prior to the implementation of the Guyanese diabetic foot care program: health professionals working in silos, no comprehensive assessment process for people with diabetic foot ulcers, inappropriate use of antibiotics/dressings, patients presenting late for treatment, no systematic screening for high risk feet and poor footwear. Foot ulcers with or without gangrene was the leading cause of admission to Tikur Anbessa, accounting for 39% of DM2 patients admitted in 2010-2013 (2). Patients admitted with diabetic foot problems have unacceptably high rates of amputation (47.2%) and in-hospital mortality (21%) (3). An audit of people with diabetes seen at the Diabetes Center showed only 4.5% had had a foot exam in the last 5 years, 15.5% had previous ulcer, and 35.5% had at least one risk factor for ulceration. 2.tKey opinion leaders: Local leaders in Endocrinology and Orthopedics within the Department of Medicine, College of Health Sciences and AAU were eager to improve diabetic foot care. Medical and nursing staff was willing to be trained as KOLs to spearhead change.3.tSpace was available to establish a center of excellence in the Diabetes Center and there was a well-established training program for rehabilitation specialists. ResultsPrevention: Screening was started in the diabetes clinic using the Simplified 60 second tool.Interprofessional education initiatives and KOL team: Two endocrinologists and one nurse have been trained in wound care through the International Interprofessional Wound Care Course (IIWCC). Another endocrinology fellow and nurse started this year. In October 2016, a team from UofT consisting of an endocrinologist, wound care specialist and chiropodist visited the clinic for a week of teaching and practical training. During this week, there were 4 education sessions and 2 foot clinics attended by orthopedic staff and residents, medical residents, nurses and orthopedic nurses - close to 120 attendees. Infrastructure: Three rooms in the Diabetes Center were renovated to function as a foot care clinic through funding from the Banting and Best Diabetes Centre (UofT), which also donated offloading supplies and OR equipment.System Change: Access to rehabilitation services on site remains a challenge.DiscussionWhile it is still early, changes have been made and enthusiasm is high. Future plans include further visits by Canadian and US foot care experts for hands-on training, and visits by KOLs to overseas centers of excellence to improve practical skills. We would also like to obtain funding to train community health workers to establish centers of excellence outside the capital.References1.tLowe J, Sibbald RG, Taha NY, Lebovic G, Martin C, Bhoj I, et al. (2015) The Guyana Diabetes and Foot Care Project: A Complex Quality Improvement Intervention to Decrease Diabetes-Related Major Lower Extremity Amputations and Improve Diabetes Care in a Lower-Middle-Income Country. PLoS Med, 12(4): e1001814. 2.tGizaw, M., Harries, A. D., Ade, S., Tayler-Smith, K., Ali, E., Firdu, N., & Yifter, H. (2015). Diabetes mellitus in Addis Ababa, Ethiopia: admissions, complications and outcomes in a large referral hospital. Public Health Action, 5(1), 74u201378. 3.tWondwossen A, Reja A, Amare A. (2011) Diabetic foot disease in Ethiopian patients: A hospital based study. Ethiop J Health Dev, 25(1):17-21.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0730.005

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 head0.023
GPT teacher head0.347
Teacher spread0.325 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Published2017
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