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1.
J Public Health (Oxf) ; 43(4): 887-895, 2021 12 10.
Article in English | MEDLINE | ID: mdl-32880632

ABSTRACT

AIM: This study evaluated the underlying factors associated with poor tuberculosis (TB) treatment outcomes among patients attending health care facilities in Galkayo, Puntland, Somalia. METHODS: An institution-based cross-sectional study was conducted between 2016 and 2017 in three selected TB clinics. Data were collected from 400 TB patients, through medical record review and structured questionnaire. Multivariate logistic regression analyses were performed. RESULTS: Of the 400 TB respondents, 57.3% were new cases, 12.3% had smear-negative TB and 12.5% had extrapulmonary TB. The median age was (35.66 ± 13.16) with majority being male (65.5%). Overall, 85% of patients were successfully treated, 9.7% failed and 5.3% defaulted. Multivariate analysis revealed that patient's body weight (odds ratio [OR]: 1.078); diabetes (OR: 8.022); family size (OR: 3.851); patients' delay in diagnosis (OR: 11.946); frequency of receiving anti-TB medication (OR: 9.068); smoker (OR: 5.723); category of patients (retreatment versus new, OR: 5.504; retreatment versus transfer in, OR: 4.957); health facilities (OR: 6.716) and treatment duration (OR: 132.091) were independent factors associated with poor TB outcomes. CONCLUSIONS: Our findings highlight the need to improve TB services for vulnerable groups. They also emphasize the need for health system strengthening, public awareness and risk of treatment interruption. This may reduce both patients' delay in seeking care and TB treatment failure in Galkayo district.


Subject(s)
Tuberculosis , Cross-Sectional Studies , Health Facilities , Humans , Male , Somalia , Treatment Outcome , Tuberculosis/drug therapy , Tuberculosis/epidemiology
2.
J Health Care Poor Underserved ; 28(3): 1116-1140, 2017.
Article in English | MEDLINE | ID: mdl-28804082

ABSTRACT

The purpose of this paper is two-fold. First, to give an overview of the size and measure trends in health inequalities in the Comoros islands (Comoros) since 1996. Second, to assess the wide differences in health and health care across rural/urban areas and islands in Comoros, by using available and comparable leading indicators, in order to promote regular monitoring of policy goals. This assessment is aimed at reducing health inequalities and providing adequate or equal access to health care between islands. Data from the Demographic and Health Survey, Multiple Indicators Cluster Surveys from 1996, 2000 and 2012, the World Health Organization, the World Bank, the African Development Bank data sources, were analyzed for a population health-oriented approach characterized by measuring health differences from the population average, taking account of the population size of the social groups on both relative and absolute scales. The results showed that there exist geographic disparities in health in Comoros, mainly in maternal and child health.


Subject(s)
Health Status Disparities , Healthcare Disparities/statistics & numerical data , Maternal-Child Health Services/statistics & numerical data , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Child Health , Comoros , Health Services Accessibility , Health Status , Humans , Maternal Health , Maternal-Child Health Services/organization & administration , Socioeconomic Factors
3.
S Afr Med J ; 106(7): 709-14, 2016 Jun 17.
Article in English | MEDLINE | ID: mdl-27384367

ABSTRACT

BACKGROUND: Malaria remains a public health challenge in sub-Saharan Africa. In response to this, many countries are working towards achieving the World Health Assembly and Roll Back Malaria Partnership target of a 75% decline in malaria incidence. OBJECTIVE: To assess trends in malaria morbidity and mortality in the three islands of the Comoros Archipelago from 2010 to 2014. METHODS: This was a retrospective study in which all confirmed malaria cases and deaths recorded between 2010 and 2014 were accessed from the national malaria control database. Trends and comparisons in malaria incidence and case fatality rates for all age groups, including under-5 children and pregnant women, were analysed using Microsoft Excel and SPSS version 16. RESULTS: A substantial decline in malaria incidence was observed for each island between 2010 and 2014; from 75.98 cases per 1 000 population in 2010 to 0.14 in 2014 in Moheli, 60.60 to 0.02 in Anjouan and 235.36 to 5.47 in Grand Comoro. Additionally, a general reduction in malaria case fatalities was observed. In Moheli, there were no case fatalities between 2010 and 2014, while there was a decline in the case fatality rate in Anjouan (from 1.20 fatalities per 1 000 cases to 0) and Grand Comoros (0.51 to 0). There were also significant differences (p<0.05) in malaria incidence and case fatalities between the three islands. A similar trend was observed for pregnant women and under-5 children. CONCLUSIONS: Our study indicates a significant decline in malaria morbidity and mortality in the islands of Moheli, Anjouan and Grand Comoro from 2010 to 2014. This considerable reduction is attributed to a combination of malaria prevention and control interventions implemented during the study period.

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