In many sub-Saharan African countries, evidence shows that the poor bear the highest burden of diseases and experience high levels of catastrophic health expenditures.¹ Social health insurance (SHI) is considered a key mechanism for achieving universal healthcare by providing financial protection.² Social health insurance programmes are expected to protect people from catastrophic healthcare costs by pooling funds to allow cross-subsidization between the rich and poor and between the healthy and the sick. Some African countries, grappling with dissatisfaction from the public over exorbitant fees charged by health sector providers, have introduced social health insurance schemes as a way to ensure access to all income groups, especially the poor.³ However, relatively little is known about the experience of how countries that have adopted this health financing strategy have tackled the issue of ensuring coverage of the poor.

Ghana has initiated various health sector reforms over the past decades aimed at strengthening institutions, improving the overall health system and increasing access to healthcare services by all groups of people. The National Health Insurance Scheme (NHIS) instituted in 2005, is an innovative system aimed at making health care more accessible to people who need it. Currently, there is a growing amount of concern about the capacity of the NHIS to make quality health care accessible to its clients. A number of studies have concentrated on the effect of health insurance status on demand for health services, but have been quiet on supply side issues. The main aim of this study is to examine the overall satisfaction with health care among the insured and uninsured under the NHIS. The second aim is to explore the relations between overall satisfaction and socio-demographic characteristics, health insurance and the various dimensions of quality of care. This study employs logistic regression using household survey data in three districts in Ghana covering the 3 ecological zones (coastal, forest and savannah). It identifies the service quality factors that are important to patients’ satisfaction and examines their links to their health insurance status. The results indicate that a higher proportion of insured patients are satisfied with the overall quality of care compared to the uninsured. The key predictors of overall satisfaction are waiting time, friendliness of staff and satisfaction of the consultation process. These results highlight the importance of interpersonal care in health care facilities. Feedback from patients’ perception of health services and satisfaction surveys improve the quality of care provided and therefore effort must be made to include these findings in future health policies.

Background: Universal Health Coverage has become a political priority for many African countries yet there are clear challenges in achieving this goal. Though social health insurance is considered a mechanism for providing financial protection, less well documented in the literature is evidence from countries in Africa who are at various stages of adopting this financing strategy as a way to improve health insurance coverage for their populations. Objectives: The study investigates whether social health insurance schemes are effectively and efficiently covering all groups. The objective is to provide evidence of how these schemes have been implemented and whether the fundamental goals are met. The selected countries are Ghana, Rwanda, Tanzania, Kenya and Ethiopia. The study draws lessons from the literature about how policy tools can be used to reduce financial barriers whilst ensuring a broad geographic coverage in Africa. Methods: The study relies primarily on a review of literature, both documented and grey matter, which include key documents such as government health policy documents, strategic plans, health financing policy documents, Universal Health Coverage policy documents, published literature, unpublished documents, media reports and National Health Accounts reports. Results: The results show that each of the selected countries relies on a plurality of health insurance schemes with each targeting different groups. Additionally, many of the Social Health Insurance programs start by covering the formal sector first, with the hope of covering other groups in the informal sector at a later stage. Health insurance coverage for poor groups is very low, with targeting mechanisms to cover the poor in the form of exemptions and waivers achieving no desirable results. Conclusions: The ability for Social Health Insurance programs to cover all groups has been limited in the selected countries. Hence, relying solely on social health insurance schemes to achieve Universal Health Coverage may not be plausible in Africa. Also, highly fragmented risk pools impede efforts to widen the insurance pools and promote cross-subsidies.

The effort to expand access to healthcare and reduce health inequalities in many low income countries have meant that many have adopted different levels of social health protection mechanisms. Ghana introduced a National Health Insurance Scheme (NHIS) in 2005 with the aim of removing previous barriers created by the user fees financing system. Although the NHIS has made health accessible to some category of people, the majority of Ghanaians (60 %) are not enroled on the scheme. Earlier studies have looked at various factors that account for this low uptake. However, we recognise that this qualitative study will nuance the depth of these barriers to enrolment. Minimally structured, qualitative interviews were conducted with key stakeholders at the district, regional and national levels. Focus group discussions were also undertaken at the community level. Using an inductive and content analytic approach, the transcripts were analyzed to identify and define categories that explain low uptake of health insurance. The results are presented under two broad themes: sociocultural and systemic factors. Sociocultural factors identified were 1) vulnerability within certain groups such as the aged and the disabled groups which impeded access to the NHIS 2) cultural and religious norms which discouraged enrolment into the scheme. System-wide factors were 1) inadequate distribution of social infrastructure such as healthcare facilities, 2) weak administrative processes within the NHIS, and 3) poor quality of care. Mapping the interplay of these dynamic relations between the NHIS, its clients and service providers, the study identifies critical factors at the policy-making level, service provider level, and client level (reflective in household and community level institutional arrangements) that affect enrolment in the scheme. Our findings inform a number of potential reforms in the area of distribution of health resources and cost containment to expand coverage, increase choices and meeting the needs of the end user.

Background: Countries in Sub-Saharan Africa (SSA) are moving towards universal health coverage. The process of Health Technology Assessment (HTA) can support decisions relating to benefit package design and service coverage. HTA involves institutional cooperation with agreed methods and procedural standards. We systematically reviewed the literature on policies and capacity building to support HTA institutionalisation in SSA. Methods: We systematically reviewed the literature by searching major databases (PubMed, Embase, etc.) until June 2019 using terms considering three aspects: HTA; health policy, decision making; and SSA. We quantitatively extracted and descriptively analysed content and conducted a narrative synthesis eliciting themes from the selected literature, which varied in study type and apporach. Results: Half of the 49 papers identified were primary research studies and mostly qualitative. Five countries were represented in six of ten studies; South Africa, Ghana, Uganda, Cameroon, and Ethiopia. Half of first authors were from SSA. Most informants were policy makers. Five themes emerged: (1) use of HTA; (2) decision-making in HTA; (3) values and criteria for setting priority areas in HTA; (4) involving stakeholders in HTA; and (5) specific examples of progress in HTA in SSA. The first one was the main theme where there was little use of evidence and research in making policy. The awareness of HTA and economic evaluation was low, with inadequate expertise and a lack of local data and tools. Conclusions: Despite growing interest in HTA in SSA countries, awareness remains low and HTA-related activities are uncoordinated and often disconnected from policy. Further training and skills development are needed, firmly linked to a strategy focusing on strengthening within-country partnerships, particularly among researchers and policy makers. The international community has an important role here by supporting policy- relevant technical assistance, highlighting that sustainable financing demands evidence-based processes for effective resource allocation, and catalysing knowledge-sharing opportunities among countries facing similar challenges.

Malaria is Ghana's most endemic disease; occurring across most parts of the country with a significant impact on individuals and the health system as whole. Treatment seeking for malaria care takes various forms. The National Health Insurance Scheme (NHIS) was introduced in 2004 to promote access to health services to mitigate the negative impact of the user fee regime. Ten years on, national coverage is less than 40% of the total population and patients continue to make direct payments for health services. This paper analyses the care-seeking behaviour of households for treatment of malaria in Ghana under the NHI policy. Using a cross-sectional survey of household data collected from three districts in Ghana covering the 3 ecological zones namely the coastal, forest and savannah, a multinomial logit model is estimated. The sample consists of 365 adults and children reporting being ill with malaria in the last four weeks prior to the study. Out of the total, 58% were insured and 71% of them sought care from a formal health facility. Among the insured, 15% chose informal care compared to 48% among the uninsured. The results from the multinomial logit estimations show that health insurance and travel time to health facility are significant determinants of health care demand. The results show that the insured are 6 times more likely to choose regional/district hospitals: 5 times more likely to choose health centres/clinics and 7 times more likely to choose private hospitals/clinics over informal care when compared with the uninsured. Individual characteristics such as age, education and wealth status were significant determinants of health care provider choice for specific categories of health facilities. Overall, for malaria care the uninsured are more likely to choose informal care compared to the insured for the treatment of malaria.