The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Molly Rosenberg - One of the best experts on this subject based on the ideXlab platform.
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relationship between school dropout and teen pregnancy among rural south african young women
International Journal of Epidemiology, 2015Co-Authors: Molly Rosenberg, Audrey Pettifor, William C Miller, Harsha Thirumurthy, Michael Emch, Sulaimon Afolabi, Kathleen Kahn, Mark A Collinson, Stephen TollmanAbstract:BACKGROUND: Sexual activity may be less likely to occur during periods of school Enrolment because of the structured and supervised environment provided the education obtained and the safer peer networks encountered while enrolled. We examined whether school Enrolment was associated with teen pregnancy in South Africa. METHODS: Using longitudinal demographic surveillance data from the rural Agincourt sub-district we reconstructed the school Enrolment status from 2000 through 2011 for 15 457 young women aged 12-18 years and linked them to the estimated conception date for each pregnancy during this time. We examined the effect of time-varying school Enrolment on teen pregnancy using a Cox proportional hazard model adjusting for: age; calendar year; household socioeconomic status; household size; and gender educational attainment and employment of household head. A secondary analysis compared the incidence of pregnancy among school enrolees by calendar time: school term vs school holiday. RESULTS: School Enrolment was associated with lower teen pregnancy rates [adjusted hazard ratio (95% confidence interval): 0.57 (0.50 0.65)].This association was robust to potential misclassification of school Enrolment. For those enrolled in school pregnancy occurred less commonly during school term than during school holidays [incidence rate ratio (95% confidence interval): 0.90 (0.78 1.04)]. CONCLUSIONS: Young women who drop out of school may be at higher risk for teen pregnancy and could likely benefit from receipt of accessible and high quality sexual health services. Preventive interventions designed to keep young women in school or addressing the underlying causes of dropout may also help reduce the incidence of teen pregnancy. (c) The Author 2015; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.
Clare Barrington - One of the best experts on this subject based on the ideXlab platform.
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impact evaluation of a social protection programme paired with fee waivers on Enrolment in ghana s national health insurance scheme
BMJ Open, 2019Co-Authors: Tia Palermo, Elsa Valli, Gustavo Angelestagliaferro, Marlous De Milliano, Clement Adamba, Tayllor Spadafora, Clare BarringtonAbstract:Objectives The study aimed to understand the impact of integrating a fee waiver for the National Health Insurance Scheme (NHIS) with Ghana’s Livelihood Empowerment Against Poverty (LEAP) 1000 cash transfer programme on health insurance Enrolment. Setting The study was conducted in five districts implementing Ghana’s LEAP 1000 programme in Northern and Upper East Regions. Participants Women, from LEAP households, who were pregnant or had a child under 1 year and who participated in baseline and 24-month surveys (2497) participated in the study. Intervention LEAP provides bimonthly cash payments combined with a premium waiver for Enrolment in NHIS to extremely poor households with orphans and vulnerable children, elderly with no productive capacity and persons with severe disability. LEAP 1000, the focus of the current evaluation, expanded eligibility in 2015 to those households with a pregnant woman or child under the age of 12 months. Over the course of the study, households received 13 payments. Primary and secondary outcome measures Primary outcomes included current and ever Enrolment in NHIS. Secondary outcomes include reasons for not enrolling in NHIS. We conducted a mixed-methods impact evaluation using a quasi-experimental design and estimated intent-to-treat impacts on health insurance Enrolment among children and adults. Longitudinal qualitative interviews were conducted with an embedded cohort of 20 women and analysed using systematic thematic coding. Results Current Enrolment increased among the treatment group from 37.4% to 46.6% (n=5523) and decreased among the comparison group from 37.3% to 33.3% (n=4804), resulting in programme impacts of 14 (95% CI 7.8 to 20.5) to 15 (95% CI 10.6 to 18.5) percentage points for current NHIS Enrolment. Common reasons for not enrolling were fees and travel. Conclusion While impacts on NHIS Enrolment were significant, gaps remain to maximise the potential of integrated programming. NHIS and LEAP could be better streamlined to ensure poor households fully benefit from both services, in a further step towards integrated social protection. Trial registration number RIDIE-STUDY-ID-55942496d53af.
Elsa Valli - One of the best experts on this subject based on the ideXlab platform.
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impact evaluation of a social protection programme paired with fee waivers on Enrolment in ghana s national health insurance scheme
BMJ Open, 2019Co-Authors: Tia Palermo, Elsa Valli, Gustavo Angelestagliaferro, Marlous De Milliano, Clement Adamba, Tayllor Spadafora, Clare BarringtonAbstract:Objectives The study aimed to understand the impact of integrating a fee waiver for the National Health Insurance Scheme (NHIS) with Ghana’s Livelihood Empowerment Against Poverty (LEAP) 1000 cash transfer programme on health insurance Enrolment. Setting The study was conducted in five districts implementing Ghana’s LEAP 1000 programme in Northern and Upper East Regions. Participants Women, from LEAP households, who were pregnant or had a child under 1 year and who participated in baseline and 24-month surveys (2497) participated in the study. Intervention LEAP provides bimonthly cash payments combined with a premium waiver for Enrolment in NHIS to extremely poor households with orphans and vulnerable children, elderly with no productive capacity and persons with severe disability. LEAP 1000, the focus of the current evaluation, expanded eligibility in 2015 to those households with a pregnant woman or child under the age of 12 months. Over the course of the study, households received 13 payments. Primary and secondary outcome measures Primary outcomes included current and ever Enrolment in NHIS. Secondary outcomes include reasons for not enrolling in NHIS. We conducted a mixed-methods impact evaluation using a quasi-experimental design and estimated intent-to-treat impacts on health insurance Enrolment among children and adults. Longitudinal qualitative interviews were conducted with an embedded cohort of 20 women and analysed using systematic thematic coding. Results Current Enrolment increased among the treatment group from 37.4% to 46.6% (n=5523) and decreased among the comparison group from 37.3% to 33.3% (n=4804), resulting in programme impacts of 14 (95% CI 7.8 to 20.5) to 15 (95% CI 10.6 to 18.5) percentage points for current NHIS Enrolment. Common reasons for not enrolling were fees and travel. Conclusion While impacts on NHIS Enrolment were significant, gaps remain to maximise the potential of integrated programming. NHIS and LEAP could be better streamlined to ensure poor households fully benefit from both services, in a further step towards integrated social protection. Trial registration number RIDIE-STUDY-ID-55942496d53af.
Justice Nonvignon - One of the best experts on this subject based on the ideXlab platform.
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is Enrolment in the national health insurance scheme in ghana pro poor evidence from the ghana living standards survey
BMJ Open, 2019Co-Authors: Eric Nsiahboateng, Jennifer Prah Ruger, Justice NonvignonAbstract:OBJECTIVES This article examines equity in Enrolment in the Ghana National Health Insurance Scheme (NHIS) to inform policy decisions on progress towards realisation of universal health coverage (UHC). DESIGN Secondary analysis of data from the sixth round of the Ghana Living Standards Survey (GLSS 6). SETTING Household based. PARTICIPANTS A total of 16 774 household heads participated in the GLSS 6 which was conducted between 18 October 2012 and 17 October 2013. ANALYSIS Equity in Enrolment was assessed using concentration curves and bivariate and multivariate analyses to determine associated factors. MAIN OUTCOME MEASURE Equity in NHIS Enrolment. RESULTS Survey participants had a mean age of 46 years and mean household size of four persons. About 71% of households interviewed had at least one person enrolled in the NHIS. Households in the poorest wealth quintile (73%) had enrolled significantly (p<0.001) more than those in the richest quintile (67%). The concentration curves further showed that Enrolment was slightly disproportionally concentrated among poor households, particularly those headed by males. However, multivariate logistic analyses showed that the likelihood of NHIS Enrolment increased from poorer to richest quintile, low to high level of education and young adults to older adults. Other factors including sex, household size, household setting and geographic region were significantly associated with Enrolment. CONCLUSIONS From 2012 to 2013, Enrolment in the NHIS was higher among poor households, particularly male-headed households, although multivariate analyses demonstrated that the likelihood of NHIS Enrolment increased from poorer to richest quintile and from low to high level of education. Policy-makers need to ensure equity within and across gender as they strive to achieve UHC.
Sudhanshu Handa - One of the best experts on this subject based on the ideXlab platform.
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raising primary school Enrolment in developing countries the relative importance of supply and demand
Journal of Development Economics, 2002Co-Authors: Sudhanshu HandaAbstract:Abstract Few policies are as universally accepted as raising primary school Enrolment in developing countries, but the policy levers for achieving this goal are not straightforward. This paper merges household survey data with detailed school supply characteristics from official sources, in order to estimate the relative impact of demand and supply side determinants of rural primary school Enrolment in Mozambique. Policy simulations based on a set of ‘plausible’ interventions show that in rural Mozambique, building more schools or raising adult literacy will have a larger impact on primary school Enrolment rates than interventions that raise household income. When relative costs are considered, adult literacy campaigns are nearly 10 times more cost-effective than the income intervention and 1.5 to 2.5 times better than building more schools.
