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1.
Ann Glob Health ; 86(1): 123, 2020 09 25.
Artigo em Inglês | MEDLINE | ID: mdl-33024709

RESUMO

Background: To reduce the non-communicable diseases (NCDs) burden, the World Health Organization has set a target to reach 80% availability of the affordable essential medicines required to treat NCDs by 2025. Objectives: This study described the availability, costs, and stock-outs of essential NCD drugs in three rural Rwandan districts. Methods: We retrospectively assessed 54 NCD drugs listed for district hospitals or health centers in the Rwanda national essential medicines list. Data were collected from three district hospitals and 17 health centers that host NCD clinics. We extracted data on drug availability, quantity dispensed, costs, stock-outs, and the replenishing supplier for these drugs between January 1 and December 31, 2017. Results: Overall, 71% of essential medicines for health centers and 78% of essential medicines for district hospitals were available at facilities. Only 15% of health centers experienced a stock-out of beclomethasone, while 77% experienced at least one stock-out of amlodipine and metformin. The median length of stock-out ranged from nine to 72 days, and 78% of the stock-outs across all health centers were replenished by a Non-Governmental Organization (NGO) partner. Except for enoxaparin and metformin, all district hospitals experienced at least one stock-out of each drug. The median length of stock-out ranged from 3.5 to 228 days, and 82% of the stock-outs across all district hospitals were replenished by the Rwandan Ministry of Health (RMOH). The least expensive drug was digoxin ($0.02, Interquartile range (IQR): 0.01, 0.10), while the most expensive was beclomethasone ($9.35, IQR: 3.00, 13.20). Conclusions: This study shows the viability of drug-supported NCD care in rural settings of sub-Saharan Africa. Stock-outs are a challenge; our study emphasizes the importance of the MOH/NGO partnerships in this context. Medicine costs are also challenging, though, in these districts, drugs are more affordable through community-based health insurance, government, and NGO partner subsidies.


Assuntos
Medicamentos Essenciais , Doenças não Transmissíveis , Medicamentos Essenciais/economia , Medicamentos Essenciais/provisão & distribuição , Acessibilidade aos Serviços de Saúde , Humanos , Estudos Retrospectivos , População Rural , Ruanda
2.
World J Surg ; 40(1): 6-13, 2016 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-26464156

RESUMO

BACKGROUND: Globally, injury deaths largely occur in low- and middle-income countries. No estimates of injury associated mortality exist in Rwanda. This study aimed to describe the patterns of injury-related deaths in Kigali, Rwanda using existing data sources. METHODS: We created a database of all deaths reported by the main institutions providing emergency care in Kigali­four major hospitals, two divisions of the Rwanda National Police, and the National Emergency Medical Service--during 12 months (Jan­Dec 2012) and analyzed it for demographics, diagnoses, mechanism and type of injury, causes of death, and all-cause and cause-specific mortality rates. RESULTS: There were 2682 deaths, 57% in men, 67% in adults >18 year, and 16% in children <5 year. All-cause mortality rate was 236/100,000; 35% (927) were due to probable surgical causes. Injury-related deaths occurred in 22% (593/2682). The most common injury mechanism was road traffic crash (cause-specific mortality rate of 20/100,000). Nearly half of all injury deaths occurred in the prehospital setting (47%, n = 276) and 49% of injury deaths at the university hospital occurred within 24 h of arrival. Being injured increased the odds of dying in the prehospital setting by 2.7 times (p < 0.0001). CONCLUSIONS: Injuries account for 22% of deaths in Kigali with road traffic crashes being the most common cause.Injury deaths occurred largely in the prehospital setting and within the first 24 h of hospital arrival suggesting the need for investment in emergency infrastructure. Accurate documentation of the cause of death would help policy makers make data-driven resource allocation decisions.


Assuntos
Serviços Médicos de Emergência/estatística & dados numéricos , Estatísticas Vitais , Ferimentos e Lesões/mortalidade , Adolescente , Adulto , Causas de Morte/tendências , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Probabilidade , Ruanda/epidemiologia , Taxa de Sobrevida/tendências , Ferimentos e Lesões/terapia , Adulto Jovem
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