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Enregistrement W2587671892

Regional interventions for Cancer Control: New initiative and the case in IGAD Member States to Strengthen the National Cancer Control Programs and collaboration to establish the Regional Cancer Center of Excellence (RCCE).

2017· article· en· W2587671892 sur OpenAlexaboutno aff
Girum Hailu

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Financial Impacts of Cancer
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLife expectancyCancerDiseasePsychological interventionDisease burdenGlobal healthEconomic growthEnvironmental healthPublic healthPopulationNursingEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Girum Hailu 1 Fathia Alwan 2 Melaku Game 3 Yohannes Jorge 4 Tsion Demeke 4 Abstract Background Cancer is recognized as an enormous global health burden and one of the most common causes of morbidity and mortality today. It accounts for one in every eight deaths worldwide, more than HIV/AIDS, TB, and Malaria combined. Decades ago, cancer was thought to be rare in Africa and was regarded more as a problem of the developed world. Now, more than 60% of all cancer deaths occur in low-and-middle income countries, many of which lack the medical resources and health systems to support the disease burden. Sub-Saharan Africa is faced with a continuing high burden of communicable diseases along with the growing burden of non-communicable diseases (NCDs) such as cancer, cardiovascular diseases, diabetes and chronic respiratory diseases. This results, in a double burden of diseases and needs to be dealt with effectively. The problem of cancer in sub-Saharan Africa is expected to double in the next two decades if no intervention is implemented now. The health and economic consequences as a result of this would therefore be substantial. Problem Statement: The burden and magnitude of the problem from cancer will increase as life expectancy increases; however, the reality is that cancer patients in the IGAD region do not have access to some or all of the essential services. Many breast cancer patients in IGAD region arrive at the Hospital with Advanced disease. Patients whose diseases are curable unnecessarily suffer and die due to lack of resources for early diagnosis and appropriate treatment. The economic shock often includes both the loss of income due to high cost for therapy and expenses associated with payment for costly health care payments within and outside the region. Most unlikely that IGAD member states can immediately take on every aspect of cancer control from prevention to treatment and palliative care, because of acute shortages of trained personnel, treatment facilities (cancer centers, hospitals, health centers, etc.) and reliable communication network and referral systems. Almost all IGAD member states have less than satisfactory infrastructure and facilities for cancer therapy using surgery, chemotherapy and radiotherapy. Furthermore, properly trained personnel able to work in sub-Saharan African environments, adequate drug supplies and replacement of ageing radiotherapy equipment as well as their proper maintenance are in most cases lacking. Conclusions: It is true that early diagnosis and referral is a crucial strategy especially because over 80% of patients in the IGAD region at first presentation have advanced incurable cancer. The establishment of the regional Cancer Center of Excellence will be instrumental to identify and determine the means and mechanisms to mitigate the disease burden, to inform the general public about early symptoms and signs and educating health professionals on cancer prevention & control strategies for quick referral procedure to hospitals and the regional center for better treatment. With prevention strategy, improved cancer services in IGAD region, require the integration of cancer care into the existing health service as well as effective referral system to the regional cancer center of excellence that will be established in collaboration with the member states and the development partners. IGAD and collaborators must closely work to reduce the cancer incidence, morbidity & mortality and to improve the quality of life of patients through the systematic implementation of evidence-based strategies for prevention, early detection, diagnosis, treatment, palliative care, and reliable data collection. Recommendations: In line with the above required actions, IGAD must encourage and support its member states to formulate a National Cancer Control Program, to be integrated into existing health systems, and implement the design that will also help facilitate for appropriate referral linkages to the Regional Cancer Center of Excellence. It is therefore recommended that IGAD works to empower each member states, with high political commitment to strengthen and expand cancer prevention and control, as one of the its member states flagship initiative, working on integration of prevention and early detection services at primary health care level, for specific actions that will lessen the impact of cancer among the people in the region. The program can then be expanded with the establishment of the Regional Cancer Center of Excellence (RCCE) and presumably all cancer centers in each member states will be linked to the services, training and research undertakings at the regional level, with the support and ownership by IGAD and its member states. Key words: Regional approach, Cancer Control, Integration, Cancer Center of Excellence _______________________________________________________________ 1 Senior Advisor in IGAD Health and Social Development Program, IGAD/HESAD; 2 Program Manager (PM), IGAD Health and Social Development, IGAD/HESAD 3 Associate clinical Professor, Alberta University, and Representative to IGAD/ HESAD 4 Assistant Professor, Nuclear Medicine, School of Medicine, Addis Ababa University 5 Associate clinical Professor, Alberta University, and Representative to IGAD/HESAD

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)0,043
score de la tête « metaresearch » (Gemma)0,029
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: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,056
Score d'incertitude au seuil0,227

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0430,029
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,004
Communication savante0,0070,005
Science ouverte0,0050,019
Intégrité de la recherche0,0110,013
Charge utile insuffisante (le modèle a refusé de juger)0,0120,002

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 Opus0,119
Tête enseignante GPT0,340
Écart entre enseignants0,222 · 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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