Developing the improved Community Health Fund in Tanzania: was it a fair process?

Tanzania developed its 2016-26 health financing strategy to address existing inequities and inefficiencies in its health financing architecture. The strategy suggested the introduction of mandatory national health insurance, which requires long-term legal, interministerial and parliamentary procedures. In 2017/18, improved Community Health Fund (iCHF) was introduced to make short-term improvements in coverage and financial risk protection for the informal sector. Improvements involved purchaser-provider split, portability of services, uniformity in premium and risk pooling at the regional level. Using qualitative methods and drawing on the policy analysis triangle framework (context, content, actors and process) and criteria for procedural fairness, we examined the decision-making process around iCHF and the extent to which it met the criteria for a fair process. Data collection involved a document review and key informant interviews (n = 12). The iCHF reform was exempt from following the mandatory legislative procedures, including processes for involving the public, for policy reforms in Tanzania. The Ministry of Health, leading the process, formed a technical taskforce to review evidence, draw lessons from pilots and develop plans for implementing iCHF. The taskforce included representatives from ministries, civil society organizations and CHF implementing partners with experience in running iCHF pilots. However, beneficiaries and providers were not included in these processes. iCHF was largely informed by the evidence from pilots and literature, but the evidence to reduce administrative cost by changing the oversight role to the National Health Insurance Fund was not taken into account. Moreover, the iCHF process lacked transparency beyond its key stakeholders. The iCHF reform provided a partial solution to fragmentation in the health financing system in Tanzania by expanding the pool from the district to regional level. However, its decision-making process underscores the significance of giving greater consideration to procedural fairness in reforms guided by technical institutions, which can enhance responsiveness, legitimacy and implementation.

Assessment of strategic healthcare purchasing and financial autonomy in Tanzania: the case of results-based financing and health basket fund.

Background: Low-and middle-income countries (LMICs) are implementing health financing reforms toward Universal Health Coverage (UHC). In Tanzania direct health facility financing of health basket funds (DHFF-HBF) scheme was introduced in 2017/18, while the results-based financing (RBF) scheme was introduced in 2016. The DHFF-HBF involves a direct transfer of pooled donor funds (Health Basket Funds, HBF) from the central government to public primary healthcare-PHC (including a few selected non-public PHC with a service agreement) facilities bank accounts, while the RBF involves paying providers based on pre-defined performance indicators or targets in PHC facilities. We consider whether these two reforms align with strategic healthcare purchasing principles by describing and comparing their purchasing arrangements and associated financial autonomy. Methods: We used document review and qualitative methods. Key policy documents and articles related to strategic purchasing and financial autonomy were reviewed. In-depth interviews were conducted with health managers and providers (n = 31) from 25 public facilities, health managers (n = 4) in the Mwanza region (implementing DHFF-HBF and RBF), and national-level stakeholders (n = 2). In this paper, we describe and compare DHFF-HBF and RBF in terms of four functions of strategic purchasing (benefit specification, contracting, payment method, and performance monitoring), but also compare the degree of purchaser-provider split and financial autonomy. Interviews were recorded, transcribed verbatim, and analyzed using a thematic framework approach. Results: The RBF paid facilities based on 17 health services and 18 groups of quality indicators, whilst the DHFF-HBF payment accounts for performance on two quality indicators, six service indicators, distance from district headquarters, and population catchment size. Both schemes purchased services from PHC facilities (dispensaries, health centers, and district hospitals). RBF uses a fee-for-service payment adjusted by the quality of care score method adjusted by quality of care score, while the DHFF-HBF scheme uses a formula-based capitation payment method with adjustors. Unlike DHFF-HBF which relies on an annual general auditing process, the RBF involved more detailed and intensive performance monitoring including data before verification prior to payment across all facilities on a quarterly basis. RBF scheme had a clear purchaser-provider split arrangement compared to a partial arrangement under the DHFF-HBF scheme. Study participants reported that the RBF scheme provided more autonomy on spending facility funds, while the DHFF-HBF scheme was less flexible due to a budget ceiling on specific spending items. Conclusion: Both RBF and DHFF-HBF considered most of the strategic healthcare purchasing principles, but further efforts are needed to strengthen the alignment towards UHC. This may include further strengthening the data verification process and spending autonomy for DHFF-HBF, although it is important to contain costs associated with verification and ensuring public financial management around spending autonomy.

Strengthening financial management systems at primary health care: Performance assessment of the Facility Financial Accounting and Reporting System (FFARS) in Tanzania.

Background: Universal coverage remains a challenging pursuit around the world, even among the highest-income countries. Strengthening financial management capacity is essential towards attaining the three universal health coverage (UHC) goals, namely, expanded coverage, quality service, and financial protection. In this regard, Tanzania introduced the Facility Financial Accounting and Reporting System (FFARS) in line with the introduction of the Direct Health Facility Financing (DHFF) initiative in primary health care (PHC) in 2017-2018. We aim to assess the functionality of the FFARS in management, accounting, and reporting funds received and disbursed in the stride forward strengthening public financial management in PHC facilities towards UHC. Methods: The study applied implementation research using a concurrent convergent mixed-methods design to assess sources of revenue, expenditure priorities, and changes of revenues and to explore the usability and benefits of FFARS in improving facility finance and reporting systems in more than 5,000 PHC facilities in Tanzania. Quantitative methods assessed the changes in revenues and expenditure between the financial years (FYs) 2017-2018 and 2018-2019, while the qualitative part explored the usability and the benefits FFARS offers in improving facility finances and reporting systems. Data analysis involved a thematic and descriptive analysis for qualitative and quantitative data, respectively. Results: Of the 5,473 PHC facilities, 88% were in rural areas; however, the annual average revenue was higher in urban facilities in FYs 2017-2018 and 2018-2019. Overall, district hospitals showed an increase whereas health centers reported a decline of more than 40% in revenue. The user fee was the predominant source of revenue, particularly in urban facilities, while revenue from health insurance was not among the top three highest sources of revenue. Expenditure priorities leaned more towards drugs and supplies (25%) followed by allowances and training (21%); these did not differ by facility geographies. In health centers, expenditure on facility infrastructure was predominant. Key Informant Interviews revealed an overall satisfaction and positive experiences related to the system. Conclusion: The implementation of FFARS in Tanzania demonstrated its high potential in improving facility financial management, including its ability to track revenue and expenditure at PHC facilities. Staffing shortages, ICT infrastructure, and limited opportunities for capacity building could be the limiting factors to reaching the potential of the implementation of FFARS and the attainment of its full impact on Tanzania's pursuit for UHC.

Assessment of equity in healthcare financing and benefits distribution in Tanzania: a cross-sectional study protocol.

INTRODUCTION: Achieving universal health coverage goal by ensuring access to quality health service without financial hardship is a policy target in many countries. Thus, routine assessments of financial risk protection, and equity in financing and service delivery are required in order to track country progress towards realising this universal coverage target. This study aims to undertake a system-wide assessment of equity in health financing and benefits distribution as well as catastrophic and impoverishing health spending by using the recent national survey data in Tanzania. We aim for updated analyses and compare with previous assessments for trend analyses. METHODS AND ANALYSIS: We will use cross-sectional data from the national Household Budget Survey 2017/2018 covering 9463 households and 45 935 individuals cross all 26 regions of mainland Tanzania. These data include information on service utilisation, healthcare payments and consumption expenditure. To assess the distribution of healthcare benefits (and in relation to healthcare need) across population subgroups, we will employ a benefit incidence analysis across public and private health providers. The distributions of healthcare benefits across population subgroups will be summarised by concentration indices. The distribution of healthcare financing burdens in relation to household ability-to-pay across population subgroups will be assessed through a financing incidence analysis. Financing incidence analysis will focus on domestic sources (tax revenues, insurance contributions and out-of-pocket payments). Kakwani indices will be used to summarise the distributions of financing burdens according to households' ability to pay. We will further estimate two measures of financial risk protection (ie, catastrophic health expenditure and impoverishing effect of healthcare payments). ETHICS AND DISSEMINATION: We will involve secondary data analysis that does not require ethical approval. The results of this study will be disseminated through stakeholder meetings, peer-reviewed journal articles, policy briefs, local and international conferences and through social media platforms.

Cost-Efficiency Analysis of the Improved Web-Based Planning, Budgeting, and Reporting System (PlanRep) in Tanzania.

Background: Information systems offer unlimited potential for innovation and digitalization of management functions to facilitate citizen participation and improve accountability, transparency, and efficiency in government operations and service delivery. In line with this, for more than one decade, Tanzania implemented an integrated planning, budgeting, and reporting system (PlanRep) that was used to prepare plans and budgets at the local government authorities (LGAs) using a desktop application. In 2017, PlanRep was upgraded to a Web-based system to address several challenges, including poor coordination and high cost involved in the preparation of plans and budgets. However, operational evidence regarding the cost-efficiencies and benefits of shifting to Web-based PlanRep has not been explored. This study aims to address this gap by assessing efficiency gains (in terms of cost and time) of shifting to a Web-based PlanRep system as a tool for the preparation of LGA plans and budgets. Methods: The study applied a retrospective before-and-after study design whereby quantitative data was used to assess the amount of time and the cost incurred by LGAs when preparing their budget 1 year before the introduction of PlanRep and 1 year after. Parallelly, qualitative data were collected through key informant interviews with selected LGA officials, Regional Secretariats (RSs), President's Office Regional Administration and Local Government (PORALG), and system end-users such as heads of health facilities and schools (primary and secondary). Secondary data was analyzed by comparing time and cost used before and after Web-based PlanRep, while thematic analysis was employed for qualitative data. Results: The analysis showed a 53% reduction (from USD 3.8 million in 2017/18 to USD 1.8 million in 2018/19) in the total costs LGAs incurred during planning and budgeting after introducing the Web-based PlanRep. The main efficiency gain was related to per diem costs. The analysis also showed significant time saving from an average of 87 days in 2017/18 to only 8 days in 2018/19. PlanRep system end-users also acknowledged that the introduction of Web-based PlanRep has significantly saved their time and costs in preparation of LGA plans and budget. Conclusion: The introduction of the Web-based planning, budgeting, and reporting systems has resulted in tremendous cost reduction, time savings, transparency, accountability, and workload reduction. The findings offer operational evidence to guide the implementation and scale up of similar systems in countries that share equivalent circumstances like Tanzania.

Bank accounts for public primary health care facilities: Reflections on implementation from three districts in Tanzania.

Health care financing reforms are gaining popularity in a number of African countries to increase financial resources and promote financial autonomy, particularly at peripheral health care facilities. The paper explores the establishment of facility bank accounts at public primary facilities in Tanzania, with the intention of informing other countries embarking on such reform of the lessons learned from its implementation process. A case study approach was used, in which three district councils were purposively sampled. A total of 34 focus group discussions and 14 in-depth interviews were conducted. Thematic content analysis was used during analysis. The study revealed that the main use of bank account revenue was for the purchase of drugs, medical supplies, and minor facility needs. To ensure accountability for funds, health care facilities had to submit monthly reports of expenditures incurred. District managers also undertook quality control of facility infrastructure, which had been renovated using facility resources and purchases of facility needs. Facility autonomy in the use of revenue retained in their accounts would improve the availability of drugs and service delivery. The experienced process of opening facility bank accounts, managing, and using the funds highlights the need to strengthen the capacity of staff and health-governing committees.

An assessment of equity in the distribution of non-financial health care inputs across public primary health care facilities in Tanzania.

BACKGROUND: There is limited evidence on how health care inputs are distributed from the sub-national level down to health facilities and their potential influence on promoting health equity. To address this gap, this paper assesses equity in the distribution of health care inputs across public primary health facilities at the district level in Tanzania. METHODS: This is a quantitative assessment of equity in the distribution of health care inputs (staff, drugs, medical supplies and equipment) from district to facility level. The study was carried out in three districts (Kinondoni, Singida Rural and Manyoni district) in Tanzania. These districts were selected because they were implementing primary care reforms. We administered 729 exit surveys with patients seeking out-patient care; and health facility surveys at 69 facilities in early 2014. A total of seventeen indices of input availability were constructed with the collected data. The distribution of inputs was considered in relation to (i) the wealth of patients accessing the facilities, which was taken as a proxy for the wealth of the population in the catchment area; and (ii) facility distance from the district headquarters. We assessed equity in the distribution of inputs through the use of equity ratios, concentration indices and curves. RESULTS: We found a significant pro-rich distribution of clinical staff and nurses per 1000 population. Facilities with the poorest patients (most remote facilities) have fewer staff per 1000 population than those with the least poor patients (least remote facilities): 0.6 staff per 1000 among the poorest, compared to 0.9 among the least poor; 0.7 staff per 1000 among the most remote facilities compared to 0.9 among the least remote. The negative concentration index for support staff suggests a pro-poor distribution of this cadre but the 45 degree dominated the concentration curve. The distribution of vaccines, antibiotics, anti-diarrhoeal, anti-malarials and medical supplies was approximately proportional (non dominance), whereas the distribution of oxytocics, anti-retroviral therapy (ART) and anti-hypertensive drugs was pro-rich, with the 45 degree line dominating the concentration curve for ART. CONCLUSION: This study has shown there are inequities in the distribution of health care inputs across public primary care facilities. This highlights the need to ensure a better coordinated and equitable distribution of inputs through regular monitoring of the availability of health care inputs and strengthening of reporting systems.

The effects of MCH insurance cards on improving equity in access and use of maternal and child health care services in Tanzania: a mixed methods analysis.

BACKGROUND: Inequity in access and use of child and maternal health services is impeding progress towards reduction of maternal mortality in low-income countries. To address low usage of maternal and newborn health care services as well as financial protection of families, some countries have adopted demand-side financing. In 2010, Tanzania introduced free health insurance cards to pregnant women and their families to influence access, use, and provision of health services. However, little is known about whether the use of the maternal and child health cards improved equity in access and use of maternal and child health care services. METHODS: A mixed methods approach was used in Rungwe district where maternal and child health insurance cards had been implemented. To assess equity, three categories of beneficiaries' education levels were used and were compared to that of women of reproductive age in the region from previous surveys. To explore factors influencing women's decisions on delivery site and use of the maternal and child health insurance card and attitudes towards the birth experience itself, a qualitative assessment was conducted at representative facilities at the district, ward, facility, and community level. A total of 31 in-depth interviews were conducted on women who delivered during the previous year and other key informants. RESULTS: Women with low educational attainment were under-represented amongst those who reported having received the maternal and child health insurance card and used it for facility delivery. Qualitative findings revealed that problems during the current pregnancy served as both a motivator and a barrier for choosing a facility-based delivery. Decision about delivery site was also influenced by having experienced or witnessed problems during previous birth delivery and by other individual, financial, and health system factors, including fines levied on women who delivered at home. CONCLUSIONS: To improve equity in access to facility-based delivery care using strategies such as maternal and child health insurance cards is necessary to ensure beneficiaries and other stakeholders are well informed of the programme, as giving women insurance cards only does not guarantee facility-based delivery.

Subnational variation for care at birth in Tanzania: is this explained by place, people, money or drugs?

BACKGROUND: Tanzania achieved the Millennium Development Goal for child survival, yet made insufficient progress for maternal and neonatal survival and stillbirths, due to low coverage and quality of services for care at birth, with rural women left behind. Our study aimed to evaluate Tanzania's subnational (regional-level) variations for rural care at birth outcomes, i.e., rural women giving birth in a facility and by Caesarean section (C-section), and associations with health systems inputs (financing, health workforce, facilities, and commodities), outputs (readiness and quality of care) and context (education and GDP). METHODS: We undertook correlation analyses of subnational-level associations between health system inputs, outputs, context, and rural care at birth outcomes; and constructed implementation readiness barometers using benchmarks for each health system input indicator. We used geographical information system (GIS) mapping to visualise subnational variations in care at birth for rural women, with a focus on service availability and readiness, and collected qualitative data to investigate financial flows from national to council level to understand variation in financing inputs. RESULTS: We found wide subnational variation for rural care at birth outcomes, health systems inputs, and contextual indicators. There was a positive association between rural women giving birth in a facility and by C-section; maternal education; workforce and facility density; and quality of care. There was a negative association between these outcomes and proportion of all births to rural women, total fertility rate, and availability of essential commodities at facilities. Per capita recurrent expenditure was positively associated with facility births (correlation coefficient = 0.43; p = 0.05) but not with C-section. Qualitative results showed that the health financing system is complex and insufficient for providing care at birth services. Bottlenecks for care at birth included low density of health workers, poor availability of essential commodities, and low health financing in Lake and Western Zones. CONCLUSIONS: No region meets the benchmarks for the four health systems building blocks including health finance, health workforce, health facilities, and commodities. Strategies for addressing health system inequities, including overall increases in health expenditure, are needed in rural populations and areas of highest unmet need for family planning to improve coverage of care at birth for rural women in Tanzania.

Implementing demand side targeting mechanisms for maternal and child health-experiences from national health insurance fund program in Rungwe District, Tanzania.

BACKGROUND: Low and middle income countries have adopted targeting mechanisms as a means of increasing program efficiency in reaching marginalized people in the community given the available resources. Design of targeting mechanisms has been changing over time and it is important to understand implementers' experience with such targeting mechanisms since such mechanisms impact equity in access and use of maternal health care services. METHODS: The case study approach was considered as appropriate method for exploring implementers' and decision-makers' experiences with the two targeting mechanisms. In-depth interviews in order to explore implementer experience with the two targeting mechanisms. A total of 10 in-depth interviews (IDI) and 4 group discussions (GDs) were conducted with implementers at national level, regional, district and health care facility level. A thematic analysis approach was adopted during data analysis. RESULTS: The whole process of screening and identifying poor pregnant women resulted in delay in implementation of the intervention. Individual targeting was perceived to have some form of stigmatization; hence beneficiaries did not like to be termed as poor. Geographical targeting had a few cons as health care providers experienced an increase in workload while staff remained the same and poor quality of information in the claim forms. However geographical targeting increase in the number of women going to higher level of care (district/regional referral hospital), increase in facility revenue and insurance coverage. CONCLUSION: Interventions which are using targeting mechanisms to reach poor people are useful in increasing access and use of health care services for marginalized communities so long as they are well designed and beneficiaries as well as all implementers and decision makers are involved from the very beginning. Implementation of demand side financing strategies using targeting mechanisms should go together with supply side interventions in order to achieve project objectives.

Determinants of community health fund membership in Tanzania: a mixed methods analysis.

BACKGROUND: In many developing countries, initiatives are underway to strengthen voluntary community based health insurance as a means of expanding access to affordable care among the informal sector. However, increasing coverage with voluntary health insurance in low income settings can prove challenging. There are limited studies on determinants of enrolling in these schemes using mixed methods. This study aims to shed light on the characteristics of those joining a community health fund, a type of community based health insurance, in Tanzania and the reasons for their membership and subsequent drop out using mixed methods. METHODS: A cross sectional survey of households in four rural districts was conducted in 2008, covering a total of 1,225 (524 members of CHF and 701 non-insured) households and 7,959 individuals. In addition, 12 focus group discussions were carried out with CHF members, non-scheme members and members of health facility governing committees in two rural districts. Logistic regression was used to assess the determinants of CHF membership while thematic analysis was done to analyse qualitative data. RESULTS: The quantitative analysis revealed that the three middle income quintiles were more likely to enrol in the CHF than the poorest and the richest. CHF member households were more likely to be large, and headed by a male than uninsured households from the same areas. The qualitative data supported the finding that the poor rather than the poorest were more likely to join as were large families and of greater risk of illness, with disabilities or persons with chronic diseases. Households with elderly members or children under-five years were also more likely to enrol. Poor understanding of risk pooling deterred people from joining the scheme and was the main reason for not renewing membership. On the supply side, poor quality of public care services, the limited benefit package and a lack of provider choice were the main factors for low enrolment. CONCLUSIONS: Determinants of CHF membership are diverse and improving the quality of health services and expanding the benefit package should be prioritised to expand voluntary health insurance coverage.

Inequalities in child mortality in ten major African cities.

BACKGROUND: The existence of socio-economic inequalities in child mortality is well documented. African cities grow faster than cities in most other regions of the world; and inequalities in African cities are thought to be particularly large. Revealing health-related inequalities is essential in order for governments to be able to act against them. This study aimed to systematically compare inequalities in child mortality across 10 major African cities (Cairo, Lagos, Kinshasa, Luanda, Abidjan, Dar es Salaam, Nairobi, Dakar, Addis Ababa, Accra), and to investigate trends in such inequalities over time. METHODS: Data from two rounds of demographic and health surveys (DHS) were used for this study (if available): one from around the year 2000 and one from between 2007 and 2011. Child mortality rates within cities were calculated by population wealth quintiles. Inequality in child mortality was assessed by computing two measures of relative inequality (the rate ratio and the concentration index) and two measures of absolute inequality (the difference and the Erreyger's index). RESULTS: Mean child mortality rates ranged from about 39 deaths per 1,000 live births in Cairo (2008) to about 107 deaths per 1,000 live births in Dar es Salaam (2010). Significant inequalities were found in Kinshasa, Luanda, Abidjan, and Addis Ababa in the most recent survey. The difference between the poorest quintile and the richest quintile was as much as 108 deaths per 1,000 live births (95% confidence interval 55 to 166) in Abidjan in 2011-2012. When comparing inequalities across cities or over time, confidence intervals of all measures almost always overlap. Nevertheless, inequalities appear to have increased in Abidjan, while they appear to have decreased in Cairo, Lagos, Dar es Salaam, Nairobi and Dakar. CONCLUSIONS: Considerable inequalities exist in almost all cities but the level of inequalities and their development over time appear to differ across cities. This implies that inequalities are amenable to policy interventions and that it is worth investigating why inequalities are higher in one city than in another. However, larger samples are needed in order to improve the certainty of our results. Currently available data samples from DHS are too small to reliably quantify the level of inequalities within cities.

Promoting universal financial protection: a case study of new management of community health insurance in Tanzania.

BACKGROUND: The National Health Insurance Fund (NHIF), a compulsory formal sector scheme took over the management of the Community Health Fund (CHF), a voluntary informal sector scheme, in 2009. This study assesses the origins of the reform, its effect on management and reporting structures, financial flow adequacy, reform communication and acceptability to key stakeholders, and initial progress towards universal coverage. METHODS: The study relied on national data sources and an in-depth collective case study of a rural and an urban district to assess awareness and acceptability of the reform, and fund availability and use relative to need in a sample of facilities. RESULTS: The reform was driven by a national desire to expand coverage and increase access to services. Despite initial delays, the CHF has been embedded within the NHIF organisational structure, bringing more intensive and qualified supervision closer to the district. National CHF membership has more than doubled. However, awareness of the reform was limited below the district level due to the reform's top-down nature. The reform was generally acceptable to key stakeholders, who expected that benefits between schemes would be harmonised.The reform was unable to institute changes to the CHF design or district management structures because it has so far been unable to change CHF legislation which also limits facility capacity to use CHF revenue. Further, revenue generated is currently insufficient to offset treatment and administration costs, and the reform did not improve the revenue to cost ratio. Administrative costs are also likely to have increased as a result of the reform. CONCLUSION: Informal sector schemes can benefit from merger with formal sector schemes through improved data systems, supervision, and management support. However, effects will be maximised if legal frameworks can be harmonised early on and a reduction in administrative costs is not guaranteed.

Equity in financing and use of health care in Ghana, South Africa, and Tanzania: implications for paths to universal coverage.

BACKGROUND: Universal coverage of health care is now receiving substantial worldwide and national attention, but debate continues on the best mix of financing mechanisms, especially to protect people outside the formal employment sector. Crucial issues are the equity implications of different financing mechanisms, and patterns of service use. We report a whole-system analysis--integrating both public and private sectors--of the equity of health-system financing and service use in Ghana, South Africa, and Tanzania. METHODS: We used primary and secondary data to calculate the progressivity of each health-care financing mechanism, catastrophic spending on health care, and the distribution of health-care benefits. We collected qualitative data to inform interpretation. FINDINGS: Overall health-care financing was progressive in all three countries, as were direct taxes. Indirect taxes were regressive in South Africa but progressive in Ghana and Tanzania. Out-of-pocket payments were regressive in all three countries. Health-insurance contributions by those outside the formal sector were regressive in both Ghana and Tanzania. The overall distribution of service benefits in all three countries favoured richer people, although the burden of illness was greater for lower-income groups. Access to needed, appropriate services was the biggest challenge to universal coverage in all three countries. INTERPRETATION: Analyses of the equity of financing and service use provide guidance on which financing mechanisms to expand, and especially raise questions over the appropriate financing mechanism for the health care of people outside the formal sector. Physical and financial barriers to service access must be addressed if universal coverage is to become a reality. FUNDING: European Union and International Development Research Centre.

Who pays and who benefits from health care? An assessment of equity in health care financing and benefit distribution in Tanzania.

Little is known about health system equity in Tanzania, whether in terms of distribution of the health care financing burden or distribution of health care benefits. This study undertook a combined analysis of both financing and benefit incidence to explore the distribution of health care benefits and financing burden across socio-economic groups. A system-wide analysis of benefits was undertaken, including benefits from all providers irrespective of ownership. The analysis used the household budget survey (HBS) from 2001, the most recent nationally representative survey data publicly available at the time, to analyse the distribution of health care payments through user fees, health insurance contributions [from the National Health Insurance Fund (NHIF) for the formal sector and the Community Health Fund (CHF), for the rural informal sector] and taxation. Due to lack of information on NHIF and CHF contributions in the HBS, a primary survey was administered to estimate CHF enrollment and contributions; assumptions were used to estimate NHIF contributions within the HBS. Data from the same household survey, administered to 2224 households in seven districts/councils, was used to analyse the distribution of health care benefits across socio-economic groups. The health financing system was mildly progressive overall, with income taxes and NHIF contributions being the most progressive financing sources. Out-of-pocket payments and contributions to the CHF were regressive. The health benefit distribution was fairly even but the poorest received a lower share of benefits relative to their share of need for health care. Public primary care facility use was pro-poor, whereas higher level and higher cost facility use was generally pro-rich. We conclude that health financing reforms can improve equity, so long as integration of health insurance schemes is promoted along with cross-subsidization and greater reliance on general taxation to finance health care for the poorest.

Progress towards universal coverage: the health systems of Ghana, South Africa and Tanzania.

A desire to enhance protection against health care costs and improve equity of access to health care lies at the core of many health sector financing initiatives. Until recently, international debates about financing and health equity have focused primarily on mechanisms to promote equity in relation to very specific elements of health systems. However, in recent years there has been growing interest in considering these equity challenges from a more systemic perspective. In this context, universal health coverage is becoming a rallying call, with a focus on how best universal coverage can be financed. This paper is the first in a special issue which presents a body of research whose overall aim was to critically evaluate existing inequities in health care financing and provision in Ghana, South Africa and Tanzania, and the extent to which health insurance mechanisms (broadly defined) could address financial protection and equity of access challenges. In this first paper we introduce the countries' health systems, with a special emphasis on existing mechanisms for financial protection. We also identify in broad terms the key challenges for universal coverage, setting the scene for the subsequent papers.

Using stakeholder analysis to support moves towards universal coverage: lessons from the SHIELD project.

Stakeholder analysis is widely recommended as a tool for gathering insights on policy actor interests in, positions on, and power to influence, health policy issues. Such information is recognized to be critical in developing viable health policy proposals, and is particularly important for new health care financing proposals that aim to secure universal coverage (UC). However, there remain surprisingly few published accounts of the use of stakeholder analysis in health policy development generally, and health financing specifically, and even fewer that draw lessons from experience about how to do and how to use such analysis. This paper, therefore, aims to support those developing or researching UC reforms to think both about how to conduct stakeholder analysis, and how to use it to support evidence-informed pro-poor health policy development. It presents practical lessons and ideas drawn from experience of doing stakeholder analysis around UC reforms in South Africa and Tanzania, combined with insights from other relevant material. The paper has two parts. The first presents lessons of experience for conducting a stakeholder analysis, and the second, ideas about how to use the analysis to support policy design and the development of actor and broader political management strategies. Comparison of experience across South Africa and Tanzania shows that there are some commonalities concerning which stakeholders have general interests in UC reform. However, differences in context and in reform proposals generate differences in the particular interests of stakeholders and their likely positioning on reform proposals, as well as in their relative balance of power. It is, therefore, difficult to draw cross-national policy comparisons around these specific issues. Nonetheless, the paper shows that cross-national policy learning is possible around the approach to analysis, the factors influencing judgements and the implications for, and possible approaches to, management of policy processes. Such learning does not entail generalization about which UC reform package offers most gain in any setting, but rather about how to manage the reform process within a particular context.

Modelling the implications of moving towards universal coverage in Tanzania.

A model was developed to assess the impact of possible moves towards universal coverage in Tanzania over a 15-year time frame. Three scenarios were considered: maintaining the current situation ('the status quo'); expanded health insurance coverage (the estimated maximum achievable coverage in the absence of premium subsidies, coverage restricted to those who can pay); universal coverage to all (government revenues used to pay the premiums for the poor). The model estimated the costs of delivering public health services and all health services to the population as a proportion of Gross Domestic Product (GDP), and forecast revenue from user fees and insurance premiums. Under the status quo, financial protection is provided to 10% of the population through health insurance schemes, with the remaining population benefiting from subsidized user charges in public facilities. Seventy-six per cent of the population would benefit from financial protection through health insurance under the expanded coverage scenario, and 100% of the population would receive such protection through a mix of insurance cover and government funding under the universal coverage scenario. The expanded and universal coverage scenarios have a significant effect on utilization levels, especially for public outpatient care. Universal coverage would require an initial doubling in the proportion of GDP going to the public health system. Government health expenditure would increase to 18% of total government expenditure. The results are sensitive to the cost of health system strengthening, the level of real GDP growth, provider reimbursement rates and administrative costs. Promoting greater cross-subsidization between insurance schemes would provide sufficient resources to finance universal coverage. Alternately, greater tax funding for health could be generated through an increase in the rate of Value-Added Tax (VAT) or expanding the income tax base. The feasibility and sustainability of efforts to promote universal coverage will depend on the ability of the system to contain costs.