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

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

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineMedicine
ThématiqueDiabetic Foot Ulcer Assessment and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCenter (category theory)Diabetic footFoot (prosody)MedicineGeographyPolitical scienceDiabetes mellitusArt

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,073
Score d'incertitude au seuil0,244

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0030,001
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0730,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,347
Écart entre enseignants0,325 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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