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1.
Trans R Soc Trop Med Hyg ; 118(1): 12-17, 2024 01 02.
Article En | MEDLINE | ID: mdl-37480291

BACKGROUND: Coronavirus disease 2019 (COVID-19) exposed weaknesses in the health systems of countries such as Nigeria, which affected the effectiveness of the health system response to the pandemic. This paper provides new knowledge on the level of the availability, effectiveness and equity of resources in response to COVID-19 in Nigeria. This is valuable information for improving the delivery of countermeasures against future pandemics. METHODS: The study was conducted at the federal level and in two states in Nigeria. The states were Lagos in the southwest and Enugu in the southeast. In-depth interviews were undertaken with 34 key informants. NVivo version 12 software was used for coding and thematic analysis. RESULTS: There were inadequate, inequitable and suboptimal resources (human, financial, equipment and materials) for the response. In some of the countermeasures, only people that were employed in the formal sector benefitted from the distribution of welfare materials and financial packages; the informal sector, which constitutes the majority of the poor population in Nigeria, was excluded. CONCLUSIONS: Inequity and suboptimal availability of resources to control COVID-19 led to reduced effectiveness of the health system response to the disease in Nigeria. Such negative factors must be mitigated in future responses to pandemics in the country.


COVID-19 , Humans , COVID-19/epidemiology , Nigeria/epidemiology , Government Programs
2.
BMC Oral Health ; 18(1): 80, 2018 05 10.
Article En | MEDLINE | ID: mdl-29747620

BACKGROUND: One of the control tools for periodontal disease besides individual home care is professional oral prophylaxis that is, Scaling and Polishing (S&P).The aim of this study is to assess the effect of oral health awareness on the demand and uptake of scaling and polishing among dwellers of rural and urban environments. METHODS: This interventional study was conducted in Enugu, Nigeria. A questionnaire was used to obtain data on demographic details, presenting complaints and requests, and prior dental visits from consenting attendees in 4 community outreaches. The number of those demanding for scaling of teeth at point of presentation was extracted from their requests. Oral health talk was then given as the intervention for the study. Periodontal assessment was done using Community Periodontal index (CPI) and participants who received scaling thereafter were recorded. Data were analyzed with SPSS [version 20] employing Chi square to compare categorical variables and p was significant at ≤0.05. Multiple regression analysis of factors affecting oral health awareness was done and outcome of intervention was determined by percentage difference in number of participants demanding and receiving S&P. RESULTS: A total of 454 participants enlisted for the study. The outreaches served as first point of contact with dental professionals for 383 (84.4%) participants. 60 (80%) and 15 (20%) participants demanded for scaling in the urban and rural locations respectively (p = 0.00). Out of 78 with CPI 3 score, only 8 (10.3%) demanded for S&P but uptake was by 73 (93.6%) [p = 0.00]. Outcome of oral health intervention was 80.6% difference among those with periodontitis. Multiple regression analysis of factors showed that participants' locations, that is, rural or urban, was the only factor that significantly affected oral health awareness (C.I = 0.183-0.375, p = 0.000). CONCLUSION: Demand for scaling was sub-optimal but the uptake was satisfactory. Rural or urban location of the participants significantly influenced their oral health awareness. The keenness to take up scaling suggests benefits accruing from the oral health education. Appropriate health policies and planning could help bridge the gap between rural and urban areas and strengthen gains from this study.


Dental Polishing/statistics & numerical data , Dental Scaling/statistics & numerical data , Health Services Needs and Demand , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Community Participation , Female , Health Knowledge, Attitudes, Practice , Health Services Needs and Demand/statistics & numerical data , Humans , Male , Middle Aged , Nigeria , Patient Acceptance of Health Care/statistics & numerical data , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Young Adult
3.
BMC Int Health Hum Rights ; 9: 21, 2009 Sep 05.
Article En | MEDLINE | ID: mdl-19732462

BACKGROUND: Malaria places a great burden on households, but the extent to which this is tilted against the poor is unclear. However, the knowledge of the level of the burden of malaria amongst different population groups is vital for ensuring equitable control of malaria. This paper examined the inequities in occurrence, economic burden, prevention and treatment of malaria. METHODS: The study was undertaken in four malaria endemic villages in Enugu state, southeast Nigeria. Data was collected using interviewer-administered questionnaires. An asset-based index was used to categorize the households into socio-economic status (SES) quartiles: least poor; poor; very poor; and most poor. Chi-square analysis was used to determine the statistical significance of the SES differences in incidence, length of illness, ownership of treated nets, expenditures on treatment and prevention. RESULTS: All the SES quartiles had equal exposure to malaria. The pattern of health seeking for all the SES groups was almost similar, but in one of the villages the most poor, very poor and poor significantly used the services of patent medicine vendors and the least poor visited hospitals. The cost of treating malaria was similar across the SES quartiles. The average expenditure to treat an episode of malaria ranged from as low as 131 Naira ($1.09) to as high as 348 Naira ($2.9), while the transportation expenditure to receive treatment ranged from 26 Naira to 46 Naira (both less than $1). The level of expenditure to prevent malaria was low in the four villages, with less than 5% owning untreated nets and 10.4% with insecticide treated nets. CONCLUSION: Malaria constitutes a burden to all SES groups, though the poorer socio-economic groups were more affected, because a greater proportion of their financial resources compared to their income are spent on treating the disease. The expenditures to treat malaria by the poorest households could lead to catastrophic health expenditures. Effective pro-payment health financing and health delivery methods for the treatment and prevention of malaria are needed to decrease the burden of the disease to the most-poor people.

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