Stoler J.,University of Miami |
Delimini R.K.,University of Ghana |
Kofi Bonney J.H.,University of Ghana |
Oduro A.R.,Navrongo Health Research Center |
And 3 more authors.
American Journal of Tropical Medicine and Hygiene | Year: 2015
Blood samples of 218 children ages 2-14 years old with confirmed malaria in hospitals across Ghana were tested for dengue virus exposure. We detected dengue-specific immunoglobulin M (IgM) antibodies in 3.2% of the children, indicating possible coinfection, and IgG antibodies in 21.6% of them, which suggests previous exposure. Correlates of exposure are discussed. Copyright © 2015 by The American Society of Tropical Medicine and Hygiene.
Dalinjong P.A.,Navrongo Health Research Center |
Laar A.S.,National Health Insurance Authority Operations
Health Economics Review | Year: 2012
Background: Prepayments and risk pooling through social health insurance has been advocated by international development organizations. Social health insurance is seen as a mechanism that helps mobilize resources for health, pool risk, and provide more access to health care services for the poor. Hence Ghana implemented the National Health Insurance Scheme (NHIS) to help promote access to health care services for Ghanaians. The study examined the influence of the NHIS on the behavior of health care providers in their treatment of insured and uninsured clients. Methods: The study took place in Bolgatanga (urban) and Builsa (rural) districts in Ghana. Data was collected through exit survey with 200 insured and uninsured clients, 15 in-depth interviews with health care providers and health insurance managers, and 8 focus group discussions with insured and uninsured community members. Results: The NHIS promoted access for insured and mobilized revenue for health care providers. Both insured and uninsured were satisfied with care (survey finding). However, increased utilization of health care services by the insured leading to increased workloads for providers influenced their behavior towards the insured. Most of the insured perceived and experienced long waiting times, verbal abuse, not being physically examined and discrimination in favor of the affluent and uninsured. The insured attributed their experience to the fact that they were not making immediate payments for services. A core challenge of the NHIS was a delay in reimbursement which affected the operations of health facilities and hence influenced providers' behavior as well. Providers preferred clients who would make instant payments for health care services. Few of the uninsured were utilizing health facilities and visit only in critical conditions. This is due to the increased cost of health care services under the NHIS. Conclusion: The perceived opportunistic behavior of the insured by providers was responsible for the difference in the behavior of providers favoring the uninsured. Besides, the delay in reimbursement also accounted for providers' negative attitude towards the insured. There is urgent need to address these issues in order to promote confidence in the NHIS, as well as its sustainability for the achievement of universal coverage. © 2012 Dalinjong and Laar; licensee Springer.
Akazili J.,Navrongo Health Research Center |
Aikins M.,University of Ghana |
McIntyre D.,University of Cape Town
Health Policy and Planning | Year: 2012
The National Health Insurance (NHI) scheme was introduced in Ghana in 2004 as a pro-poor financing strategy aimed at removing financial barriers to health care and protecting all citizens from catastrophic health expenditures, which currently arise due to user fees and other direct payments. A comprehensive assessment of the financing and benefit incidence of health services in Ghana was undertaken. These analyses drew on secondary data from the Ghana Living Standards Survey (2005/2006) and from an additional household survey which collected data in 2008 in six districts covering the three main ecological zones of Ghana. Findings show that Ghana's health care financing system is progressive, driven largely by the progressivity of taxes. The national health insurance levy (which is part of VAT) is mildly progressive while NHI contributions by the informal sector are regressive. The distribution of total benefits from both public and private health services is pro-rich. However, public sector district-level hospital inpatient care is pro-poor and benefits of primary-level health care services are relatively evenly distributed. For Ghana to attain an equitable health system and fully achieve universal coverage, it must ensure that the poor, most of whom are not currently covered by the NHI, are financially protected, and it must address the many access barriers to health care. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2012; all rights reserved.2012 © Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2012; all rights reserved.
de Vries J.,University of Cape Town |
Tindana P.,Navrongo Health Research Center |
Littler K.,Wellcome Trust Sanger Institute |
Ramsay M.,University of Witwatersrand |
And 4 more authors.
Trends in Genetics | Year: 2015
Human Heredity and Health in Africa (H3Africa) research seeks to promote fair collaboration between scientists in Africa and those from elsewhere. Here, we outline how concerns over inequality and exploitation led to a policy framework that places a firm focus on African leadership and capacity building as guiding principles for African genomics research. © 2015 The Authors.
Ataguba J.E.,University of Cape Town |
Akazili J.,Navrongo Health Research Center |
McIntyre D.,University of Cape Town
International Journal for Equity in Health | Year: 2011
Background: Inequalities in health have received considerable attention from health scientists and economists. In South Africa, inequalities exist in socio-economic status (SES) and in access to basic social services and are exacerbated by inequalities in health. While health systems, together with the wider social determinants of health, are relevant in seeking to improve health status and health inequalities, those that need good quality health care too seldom get it. Studies on the burden of ill-health in South Africa have shown consistently that, relative to the wealthy, the poor suffer more from more disease and violence. However, these studies are based on selected disease conditions and only consider a single point in time. Trend analyses have yet to be produced. This paper specifically investigates socio-economic related health inequality in South Africa and seeks to understand how the burden of self-reported illness and disability is distributed and whether this has changed since the early 2000s. Methods. Several rounds (2002, 2004, 2006, and 2008) of the South African General Household Surveys (GHS) data were used, with standardized and normalized self-reported illness and disability concentration indices to assess the distribution of illness and disability across socio-economic groups. Composite indices of socio-economic status were created using a set of common assets and household characteristics. Results: This study demonstrates the existence of socio-economic gradients in self-reported ill-health in South Africa. The burden of the major categories of ill-health and disability is greater among lower than higher socio-economic groups. Even non-communicable diseases, which are frequently seen as diseases of affluence, are increasingly being reported by lower socio-economic groups. For instance, the concentration index of flu (and diabetes) declined from about 0.17 (0.10) in 2002 to 0.05 (0.01) in 2008. These results have also been confirmed internationally. Conclusion: The current burden and distribution of ill-health indicates how critical it is for the South African health system to strive for access to and use of health services that is in line with need for such care. Concerted government efforts, within both the health sector and other social and economic sectors are therefore needed to address the significant health inequalities in South Africa. © 2011 Ataguba et al; licensee BioMed Central Ltd.