Exploring health insurance and knowledge of the ovulatory cycle: evidence from Demographic and Health Surveys of 29 countries in Sub-Saharan Africa.

BACKGROUND: Unplanned pregnancy continues to be a major public health concern in Sub-Saharan Africa (SSA). Understanding the ovulatory cycle can help women avoid unplanned pregnancy. Though a wide range of factors for ovulatory cycle knowledge in SSA countries has not been well assessed, the influence of health insurance on ovulatory cycle knowledge is largely unknown. As a result, we set out to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age. This study aims to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age in sub-Saharan Africa (SSA). METHODS: Demographic and Health Surveys (DHSs) data from 29 SSA countries were analyzed. The association between health insurance and ovulatory cycle knowledge was investigated using bivariate and multivariate multilevel logistic regression models among 372,692 women of reproductive age (15-49). The findings were presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI). A p-value of 0.05 was considered statistically significant. RESULTS: The pooled result shows that the prevalence of knowledge of ovulatory cycle in the studied 29 SSA countries was 25.5% (95% CI; 24.4%-26.6%). Findings suggest higher odds of ovulatory cycle knowledge among women covered by health insurance (AOR = 1.27, 95% CI; 1.02-1.57), with higher education (higher-AOR = 2.83, 95% CI; 1.95-4.09), from the richest wealth quintile (richest-AOR = 1.39, 95% CI; 1.04-1.87), and from female headed households (AOR = 1.16, 95% CI; 1.01-1.33) compared to women who had no formal education, were from the poorest wealth quintile and belonged to male headed households, respectively. We found lower odds of ovulatory cycle knowledge among women who had 2-4 parity history (AOR = 0.80, 95% CI; 0.65-0.99) compared to those with history of one parity. CONCLUSIONS: The findings indicate that the knowledge of the ovulatory cycle is lacking in SSA. Improving health insurance enrollment should be considered to increase ovulatory cycle knowledge as an approach to reduce the region's unplanned pregnancy rate. Strategies for improving opportunities that contribute to women's empowerment and autonomy as well as sexual and reproductive health approaches targeting women who are in poorest quintiles, not formally educated, belonging to male headed households, and having high parity should be considered.

Demographic and health surveys showed widening trends in polio immunisation inequalities in Guinea.

AIM: This study examined trends in absolute and relative socio-economic, gender and geographical inequalities in the coverage of polio immunisation in Guinea, West Africa, from 1999 to 2016. METHODS: Data from the 1999, 2005 and 2012 Guinea Demographic and Health Survey and the 2016 Guinea Multiple Indicator Cluster Survey were analysed using the World Health Organization's health equity assessment toolkit. We disaggregated polio immunisation coverage using five equity stratifiers: household economic status, maternal educational level, place of residence, child's gender and region. The four summary measures used were the difference, ratio, population attributable risk and population attributable fraction. A 95% confidence interval (CI) was constructed around point estimates to measure statistical significance. RESULTS: A total of 4778 1-year-old children were included. Polio immunisation coverage in 1999, 2005, 2012 and 2016 were 43.4%, 50.7%, 51.2% and 38.6%, respectively. Socio-economic and geographical inequalities in polio immunisation favoured children with educated mothers who came from richer families living in urban areas. There were also differences in the eight regions over the 1999-2016 study period. CONCLUSION: Targeting children from disadvantaged subgroups must be prioritised to ensure equitable immunisation services that help to eradicate polio in Guinea.

Regional variations and socio-economic disparities in neonatal mortality in Angola: a cross-sectional study using demographic and health surveys.

BACKGROUND: Inequalities in neonatal mortality rates (NMRs) in low- and middle-income countries show key disparities at the detriment of disadvantaged population subgroups. There is a lack of scholarly evidence on the extent and reasons for the inequalities in NMRs in Angola. OBJECTIVE: The aim of this study was to assess the socio-economic, place of residence, region and gender inequalities in the NMRs in Angola. METHODS: The World Health Organization Health Equity Assessment Toolkit software was used to analyse data from the 2015 Angola Demographic and Health Survey. Five equity stratifiers: subnational regions, education, wealth, residence and sex were used to disaggregate NMR inequality. Absolute and relative inequality measures, namely, difference, population attributable fraction (PAF), population attributable risk (PAR) and ratio, were calculated to provide a broader understanding of the inequalities in NMR. Statistical significance was calculated at corresponding 95% uncertainty intervals. FINDINGS: We found significant wealth-driven [PAR = -14.16, 95% corresponding interval (CI): -15.12, -13.19], education-related (PAF = -22.5%, 95% CI: -25.93, -19.23), urban-rural (PAF = -14.5%, 95% CI: -16.38, -12.74), sex-based (PAR = -5.6%, 95% CI: -6.17, -5.10) and subnational regional (PAF = -82.2%, 95% CI: -90.14, -74.41) disparities in NMRs, with higher burden among deprived population subgroups. CONCLUSIONS: High NMRs were found among male neonates and those born to mothers with no formal education, poor mothers and those living in rural areas and the Benguela region. Interventions aimed at reducing NMRs, should be designed with specific focus on disadvantaged subpopulations.

Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey.

BACKGROUND: In African countries, including Angola, antenatal care (ANC) coverage is suboptimal and maternal mortality is still high due to pregnancy and childbirth-related complications. There is evidence of disparities in the uptake of ANC services, however, little is known about both the socio-economic and geographic-based disparity in the use of ANC services in Angola. The aim of this study was to assess the extent of socio-economic, urban-rural and subnational inequality in ANC coverage in Angola. METHODS: We analyzed data from the 2015 Angola Demographic and Health Survey (ADHS) using the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) software. The analysis consisted of disaggregated ANC coverage rates using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population Attributable Risk, Ratio and Population Attributable Fraction). To measure statistical significance, an uncertainty interval (UI) of 95% was constructed around point estimates. RESULTS: The study showed both absolute and relative inequalities in coverage of ANC services in Angola. More specifically, inequality favored women who were rich (D = 54.2, 95% UI; 49.59, 58.70, PAF = 43.5, 95% UI; 40.12, 46.92), educated (PAR = 19.9, 95% UI; 18.14, 21.64, R = 2.14, 95% UI; 1.96, 2.32), living in regions such as Luanda (D = 51.7, 95% UI; 43.56, 59.85, R = 2.64, 95% UI; 2.01, 3.26) and residing in urban dwellings (PAF = 20, 95% UI; 17.70, 22.38, PAR = 12.3, 95% UI; 10.88, 13.75). CONCLUSION: The uptake of ANC services were lower among poor, uneducated, and rural residents as well as women from the Cuanza Sul region. Government policy makers must consider vulnerable subpopulations when designing needed interventions to improve ANC coverage in Angola to achieve the 2030 Sustainable Development Goal of reducing global maternal mortality ratio to 70 deaths per 100,000 live births.

Assessment of minor psychiatric morbidity, stressors, and barriers of seeking help among medical students at the University of Khartoum, Khartoum, Sudan.

INTRODUCTION: Medical education can be stressful and a source of psychiatric morbidity for medical students with the potential of causing serious professional and personal negative consequences. With the limited studies investigating this issue in Sudan, this study aimed at assessing psychiatric morbidity, determine stressors, evaluate mental health care seeking behavior and barriers to seeking help among medical students in Khartoum, Sudan. METHODS: This was a cross-sectional study with data collection for a period of one month, during the survey. Following ethical clearance and administrative approval, 644 students who gave consent were selected randomly from the university of Khartoum's faculty of medicine. The "12-General Health Questionnaire (GHQ12)" was used as a tool to assess prevalence of psychiatric morbidity, determine stressors and evaluate barriers to seeking mental health care among students for a period of a month. RESULTS: The overall prevalence of psychiatric morbidity was 56% (n = 356). The mean score of the GHQ12 was 6.7. There was a statistically significant association between GHQ12-score and level of study (in medical school), age, student's income (student financial allowance). Stressors mostly experienced by students were fear of academic failure, dissatisfaction with academic performance and examination stress. The most frequent barriers to seeking mental health care elicited by participants were fear of stigmatization 63% (n = 401), preference for dealing with the problem alone 60% (n = 379), fear of the unknown 59% (n = 365) and failure to recognize symptoms 58% (n = 366). CONCLUSION: Psychiatric morbidity is commonly experienced by students in medical school as can be seen from the high prevalence (56%). The reported high figures of psychiatric morbidity among medical school students points to the urgency for interventions to address this problem with potential for negative sequelae (personal and professional). Our findings suggest that interventions to improve the social and economic conditions of students in medical school as well as addressing stigma related to mental health and educating students to recognize signs and symptoms of psychiatric morbidity while making help accessible might go a long way to address this challenge.

Testing Pooled Sputum with Xpert MTB/RIF for Diagnosis of Pulmonary Tuberculosis To Increase Affordability in Low-Income Countries.

Tuberculosis (TB) is a global public health problem, with the highest burden occurring in low-income countries. In these countries, the use of more sensitive diagnostics, such as Xpert MTB/RIF (Xpert), is still limited by costs. A cost-saving strategy to diagnose other diseases is to pool samples from various individuals and test them with single tests. The samples in positive pool samples are then retested individually to identify the patients with the disease. We assessed a pooled testing strategy to optimize the affordability of Xpert for the diagnosis of TB. Adults with presumptive TB attending hospitals or identified by canvassing of households in Abuja, Nigeria, were asked to provide sputum for individual and pooled (4 per pool) testing. The agreement of the results of testing of individual and pooled samples and costs were assessed. A total of 738 individuals submitted samples, with 115 (16%) being Mycobacterium tuberculosis positive. Valid Xpert results for individual and pooled samples were available for 718 specimens. Of these, testing of pooled samples detected 109 (96%) of 114 individual M. tuberculosis-positive samples, with the overall agreement being 99%. Xpert semiquantitative M. tuberculosis levels had a positive correlation with the smear grades, and the individual sample-positive/pooled sample-negative results were likely due to the M. tuberculosis concentration being below the detection limit. The strategy reduced cartridge costs by 31%. Savings were higher with samples from individuals recruited in the community, where the proportion of positive specimens was low. The results of testing of pooled samples had a high level of agreement with the results of testing of individual samples, and use of the pooled testing strategy reduced costs and has the potential to increase the affordability of Xpert in countries with limited resources.

The hidden costs of installing Xpert machines in a tuberculosis high-burden country: experiences from Nigeria.

INTRODUCTION: Since the endorsement of GeneXpert MTB/RIF by the WHO, many countries have embarked on implementing this technology. OBJECTIVE: We outline the cost of installing GeneXpert in district hospitals in Abuja, Nigeria. METHODS: We prospectively documented costs related to the installation of GeneXpert at five sites. Costs were collected from receipts received from suppliers and normalized to USD 2012 values. RESULTS: Costs were often identified after initiating installation for many reasons. Installation varied widely between sites with sufficient space and power supply; sites with insufficient space or power supply and costs not directly associated with site installation. The basic cost for installation was USD 2,621.98 per machine. Sites that required additional space cost close to USD 7,000.00. CONCLUSION: Space and power requirements have a significant effect on installation costs. Countries need to carefully consider the placement of Xpert machines based on the quality and size of the available infrastructure.