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1.
Int J Cancer ; 144(12): 2985-2991, 2019 06 15.
Artigo em Inglês | MEDLINE | ID: mdl-30536374

RESUMO

Gulu Cancer Registry was established in 2014 to assess the incidence and survival of cancer in 4 districts of the Acholi Sub-region of northern Uganda. Here we report the results of the first 4 years of registration (2013-2016) in this largely rural population of 771,514. In total there were 1627 cases of cancers registered; 644 among men (corresponding to an ASR of 106.7 per 100,000 population) and 983 cancer cases among women (ASR 118.5 per 100,000). The most common cancers were cancers of the cervix and non-Hodgkin Lymphoma in females, and non-Hodgkin Lymphoma, Kaposi Sarcoma, prostate and liver cancers in men. Incidence rates of Burkitt lymphoma in children were high in comparison to elsewhere in Africa, whilst the incidence of breast cancer in women was rather low. The figures suggest a rather different pattern from that observed in the metropolitan population of Kampala, where there has been a cancer registry since 1951. This helps to provide a more complete picture of the national cancer profile, permitting more targeted interventions in prevention, early detection and treatment services.


Assuntos
Neoplasias/epidemiologia , Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Incidência , Lactente , Recém-Nascido , Masculino , Sistema de Registros , Uganda/epidemiologia
2.
Cancer Epidemiol ; 45 Suppl 1: S30-S36, 2016 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-27890388

RESUMO

BACKGROUND: The objectives of this study are (1) to estimate the cost of operating the Kampala Cancer Registry (KCR) and (2) to use cost data from the KCR to project the resource needs and cost of expanding and sustaining cancer registration in Uganda, focusing on the recently established Gulu Cancer Registry (GCR) in rural Northern Uganda. METHODS: We used Centers for Disease Control and Prevention's (CDC's) International Registry Costing Tool (IntRegCosting Tool) to estimate the KCR's activity-based cost for 2014. We grouped the registry activities into fixed cost, variable core cost, and variable other cost activities. After a comparison KCR and GCR characteristics, we used the cost of the KCR to project the likely ongoing costs for the new GCR. RESULTS: The KCR incurred 42% of its expenditures in fixed cost activities, 40% for variable core cost activities, and the remaining 18% for variable other cost activities. The total cost per case registered was 28,201 Ugandan shillings (approximately US $10 in 2014) to collect and report cases using a combination of passive and active cancer data collection approaches. The GCR performs only active data collection, and covers a much larger area, but serves a smaller population compared to the KCR. CONCLUSION: After identifying many differences between KCR and GCR that could potentially affect the cost of registration, our best estimate is that the GCR, though newer and in a rural area, should require fewer resources than the KCR to sustain operations as a stand-alone entity. The optimal structure of the GCR needs to be determined in the future.


Assuntos
Custos e Análise de Custo , Neoplasias/epidemiologia , Sistema de Registros , Coleta de Dados , Recursos em Saúde , Humanos , Incidência , Uganda/epidemiologia
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