Assessing public and private sector contributions in reproductive health financing and utilization for six sub-Saharan African countries.
Medical economics (Surveys)
Medical care (Utilization)
Medical care (Surveys)
|Publication:||Name: Reproductive Health Matters Publisher: Elsevier Science Publishers Audience: General Format: Magazine/Journal Subject: Family and marriage; Health; Women's issues/gender studies Copyright: COPYRIGHT 2011 Reproductive Health Matters ISSN: 0968-8080|
|Issue:||Date: May, 2011 Source Volume: 19 Source Issue: 37|
|Topic:||Event Code: 250 Financial management Computer Subject: Company financing|
|Product:||Product Code: 9105260 Family Planning & Child Care NAICS Code: 92312 Administration of Public Health Programs|
|Organization:||Organization: World Health Organization|
|Geographic:||Geographic Scope: Ethiopia; Uganda; Kenya; Malawi; Tanzania; Maryland Geographic Code: 6ETHI Ethiopia; 6UGAN Uganda; 6KENY Kenya; 6MALA Malawi; 6TANZ Tanzania; 1U5MD Maryland|
Abstract: The present study provides evidence to support enhanced
attention to reproductive health and comprehensive measures to increase
access to quality reproductive health services. We compare and contrast
the financing and utilization of reproductive health services in six
sub-Saharan African countries using data from National Health Accounts
and Demographic and Health Surveys. Spending on reproductive health in
2006 ranged from US$4 per woman of reproductive age in Ethiopia to US$17
in Uganda. These are below the necessary level for assuring adequate
services given that an internationally recommended spending level for
family planning alone was US$16 for 2006. Moreover, reproductive health
spending shows signs of decline in tandem with insufficient improvement
in service utilization. Public providers played a predominant role in
antenatal and delivery care for institutional births, but home
deliveries with unqualified attendants dominated. The private sector was
a major supplier of condoms, oral pills and IUDs. Private clinics,
pharmacies and drug vendors were important sources of STI treatment. The
findings highlight the need to commit greatly increased funding for
reproductive health services as well as more policy attention to the
contribution of public, private and informal providers and the role of
collaboration among them to expand access to services for under-served
Keywords: family planning services, antenatal care, delivery care, STI services, health financing, National Health Accounts, Demographic and Health Surveys, Africa
La presente etude justifie d'accorder davantage d'attention a la sante genesique et de soutenir des mesures globales pour elargir l'acces a des services de sante genesique de qualite. Nous comparons le financement et l'utilisation de services de sante genesique dans six pays d'Afrique sub-saharienne au moyen de donnees des comptes nationaux de la sante et des enquetes demographiques et sanitaires. Les depenses de sante genesique en 2006 allaient de $US4 par femme en age de procreer en Ethiopie a $US17 en Ouganda. Ces chiffres sont inferieurs au niveau requis pour assurer des services satisfaisants, puisque les depenses recommandees au plan international pour la seule planification familiale etaient de $US16 en 2006. De plus, les depenses de sante genesique semblent diminuer, parallelement avec un accroissement insuffisant de l'utilisation des services. Les prestataires publics ont joue un role predominant dans les soins prenatals et obstetricaux pour les naissances en milieu hospitalier, mais les accouchements a domicile sans assistance qualifiee demeuraient majoritaires. Le secteur prive etait un fournisseur majeur de preservatifs, de pilules contraceptives et de sterilets. Les dispensaires prives, les pharmacies et les vendeurs de medicaments representaient des sources importantes de traitement des IST. L'etude conclut qu'il est necessaire d'augmenter nettement les fonds alloues aux services de sante genesique et d'accorder davantage d'attention politique a la contribution des prestataires publics, prives et informels et a leur collaboration en vue d'elargir l'acces aux services des populations sous-desservies.
Este estudio expone evidencia para apoyar una mejor atencion a la salud reproductiva y medidas integrales para ampliar el acceso a servicios de salud reproductiva de calidad. Comparamos y contrastamos el financiamiento y la utilizacion de dichos servicios en seis paises de Africa subsahariana, utilizando datos de Cuentas Nacionales de Salud y Encuestas Demograficas y de Salud. Los gastos en salud reproductiva en 2006 variaron desde US$4 por cada mujer en edad reproductiva en Etiopia, a US$17 en Uganda. Estos estan por debajo del nivel necesario para asegurar servicios adecuados, dado que el nivel de gastos recomendados internacionalmente en planificacion familiar nada mas fue de US$16 en el 2006. Mas aun, los gastos en salud reproductiva muestran signos de descenso en tandem con insuficientes mejoras en la utilizacion de los servicios. Los prestadores de servicios publicos desempenaron un papel predominante en la atencion antenatal y la atencion del parto en casos de partos institucionales, pero dominaron los partos caseros con asistentes no calificados. El sector privado fue un principal proveedor de condones, anticonceptivos orales y DIUs. Las clinicas, farmacias y vendedores de medicamentos particulares fueron importantes fuentes de tratamiento de ITS. Los hallazgos destacan la necesidad de dedicar muchos mas fondos a los servicios de salud reproductiva y mas atencion en politicas a los aportes de los prestadores de servicios publicos, privados y extraoficiales, asi como la importancia de que colaboren entre si para ampliar el acceso de los sectores desatendidos de la poblacion a los servicios.
REPRODUCTIVE health (RH) may no longer be the "missing" Millennium Development Goal (MDG), but it remains a neglected one. (1) After being left out of the 2000 formulation of the MDGs, universal access to RH was added in as a sub-component of MDG 5 on maternal health in 2005 (MDG-5b). However, this acceptance of the importance of RH has not translated into sufficient investments for achieving the stated goal of universal access. Indeed, targets for RH funding set long before the MDGs at the International Conference on Population and Development in 1994 have not been met. (2) From 2000 to 2007, donor assistance for family planning (FP) decreased drastically from current US$518 million to current US$462 million, or from 30% to 5% of total population assistance (which includes FP; basic RH services consisting of maternal health, abortion, information, education, and communication about RH, among other services; sexually transmitted infections (STIs), HIV/AIDS, and basic research, data, and population and development policy analysis). Funding for basic RH services other than FP and STIs was also reduced from 30% to 17% of the total population assistance. (3)
Low funding for RH is a cause for concern, given that RH service utilization in the vast majority of the developing world is well below desired levels. Worldwide, 21.6 million unsafe abortions took place in 2008, a nearly 2 million increase from the estimated 19.7 million in 2003. (4) Approximately 5 million women are estimated to be hospitalized each year for the treatment of complications from unsafe abortions. (5) In sub-Saharan Africa, only 17% of married women of reproductive age use modern contraception, and 39% of pregnancies in the region are unintended. (6) Furthermore, inequalities in access to RH services within countries across different socio-economic groups remain stark. (7) Ultimately, the mismatch between funding and the need for effective and equitable delivery of RH services threatens progress towards achieving universal access to RH by 2015.
Using data on financing and utilization of RH services in six sub-Saharan African countries, this paper provides evidence to make a strong case for the global health community to strengthen its financial and political commitment to ensuring universal access to RH. While the utilization data are drawn from the Demographic and Health Surveys (DHS), the health financing data are drawn from the RH Subaccount (RHS) of the National Health Accounts (NHA) framework. Combining financing and utilization data in these six countries allows us to gain insight into key constraints in the region, which can serve as a valuable addition to the global picture reviewed above. In particular, our analysis highlights the link between recent levels and trends in RH funding and utilization in the six countries studied. In examining the key stakeholders in financing and delivering RH services, we pay special attention to the role of the private sector in RH service provision, which we argue may be leveraged to improve access to quality RH services for underserved populations.
Six countries were selected for the analysis based on the availability of NHA RHS data: Ethiopia, Kenya, Malawi, Rwanda, Tanzania, and Uganda.
As the NHA RHS is relatively new, estimates have been completed in only a few countries. Of the six countries, Rwanda and Tanzania have RHS estimates for 2002 and 2006, facilitating an examination of changes over this period. DHS data were selected to match the timing of the RHS as closely as possible. DHS data were downloaded from Measure DHS's website; (8) NHA data were obtained from country reports. (9-15) As shown in Table 1, in most cases, the timing of NHA and DHS follow each other closely. The study covers the years 1999-2006.
National Health Accounts and Reproductive Health Subaccounts
NHA is an internationally accepted tool used to estimate a country's total spending on health activities. (16) By comprehensively tracking the flow of funds through a country's health system, it provides information on the distribution of health spending across major financing sources, key stakeholders who manage health spending, the providers of services, and the type of services utilized. With the support from the World Health Organization, World Bank, US Agency for International Development and other major international organizations, NHA estimations have been conducted in more than 100 countries over the past 20 years.
The NHA subaccounts are designed to provide more detailed information about priority health areas such as RH, HIV[AIDS, tuberculosis, malaria, and child health. The RHS estimates total spending on RH services, which includes broadly FP, maternal health, and sexual health (including STIs). In the case of RH interventions that overlap with other subaccount areas, such as HIV/AIDS and child health, the guidelines recommend estimation techniques to assess the "primary purpose" in order to attribute spending accurately. (17)
While all country RHS follow the same general definitions and boundaries in accordance with international norms, each country obtains its estimates from different sources and possibly different survey instruments. This may result in varying rigor and use of estimation techniques, in particular for disaggregating different components of RH spending. Therefore, our analysis, for the most part, only presents overall RH spending figures, which are more reliable and comparable across countries, rather than disaggregating spending for FP, maternal health, STIs, and other RH services. Estimates of health spending from different rounds of RHS were converted to 2005 real US$ to adjust for inflation using consumer price index data from the World Bank.
Demographic and Health Survey data
The DHS data format is highly standardized, allowing for easy comparison across countries and years. However, it is worth noting a few variations in the DHS format that impact our analysis. First, while most surveys asked about condom use among men, some did not (Malawi, 2004; Rwanda, 2000 and 2005; Tanzania, 1999 and 2004). To ensure consistency, the information on source of condoms in our analysis is based only on women's reporting. Second, our data on STI care combine information collected from both men and women for all countries, but not for the 2004 Tanzania DHS, which did not include STI-related questions for men. In all surveys, some questions on sources of care allowed respondents to provide more than one answer. On closer inspection, we found that the number of respondents reporting more than one source of care was extremely small (less than 2% of all respondents). The analysis thus dropped such observations so that the variable on choice of provider would be both exhaustive and mutually exclusive. All estimations take into account complex survey design and sampling weights.
Caveats are required when interpreting the study's results regarding data comparability. The RHS captures all RH-related expenditures, including prevention, curative services, commodities, research and development, and management. The information obtained from DHS pertains only to commodities (contraceptives) and ser vices (FP, antenatal care (ANC), delivery care, and STIs). Ultimately, prevention, research and development, and other public health functions should endeavor to improve utilization outcomes. Furthermore, FP, ANC, delivery, and STIs services account for a major share of RH spending in the subaccounts. For such reasons, the lack of complete congruence between NHA and DHS data does not affect comparisons between RH financing and service utilization provided in this analysis.
Service providers noted in the analysis consist of public and private sectors. Within the latter, we distinguish between the private not-for-profit sector, which is comprised of non-governmental and faith-based organizations, and the private for-profit sector, which is highly heterogeneous, ranging from modern hospitals to drug peddlers. Following the practice in the literature, the formal private sector in this analysis includes private facilities (hospitals anal clinics), whereas the informal private sector includes a wide array of unqualified providers, such as pharmacies, drug vendors, traditional healers, traditional birth attendants (TBAs) and village doctors. (18-20)
Table 2 gives background statistics for the six countries. Ali six have a high proportion of rural residents, a high population growth rate, and high maternal mortality ratios. There is wide variation in GDP per capita, yet Rwanda, which spends the most on health per capita, does not have the highest GDP per capita, which suggests that spending on health is driven not solely by capacity to pay bur also by political commitment and other factors.
The cross-country comparison of RH spending and utilization rates reveals low RH spending levels and a rather dismal utilization picture, with a strong association between them. There is significant reliance on donor and individual households for funding RH, neither of which guarantees sustainability, equity or efficiency. While the public sector is the main provider of ANC and delivery care for women who deliver in a facility, an overwhelming majority of home births are assisted by informal sector attendants.
Financing RH services: overall spending levels Figure 1 shows average PH spending in 2005 real US$ per woman of reproductive age (15-49 years) and RH spending as a share of total health expenditure. RH spending per woman varied greatly across countries. In 2006, Ethiopia was the lowest spender per woman (US$ 4); the highest was Uganda (over US$17), followed by Malawi (nearly US$17) and Kenya.
In 2003, the Guttmacher Institute and UNFPA estimated the unit cost (capital plus overheads) of providing modern contraception and meeting unmet need for family planning in developing countries to be US$16. (21) Yet most study countries spent less than US$16 for all RH services and commodities.
[FIGURE 1 OMITTED]
In addition to tracking RH spending in absolute terms, an assessment of RH spending as a proportion of total health spending is indicative of the importance accorded to RH vis-a-vis other health priorities. As shown in Figure 1, although Ethiopia spent the least among the six countries in absolute value, its share of RH expenditure in total health expenditure in 2006 was larger than Uganda's, which had the highest spending in absolute value. Moreover, while there was a slight increase in RH spending per woman in Rwanda and Tanzania between 2002 and 2006, the share of RH in total health expenditure decreased markedly, particularly in Rwanda, from 15.7% to 6.3%. This can be explained by a major increase in total health expenditure per capita in Rwanda in the same period (from US$8 to US$34 per capita, at average exchange rate). (22) Thus, in these two countries, evidence suggests that RH lost ground in terms of its share of total health spending and therefore its importance among health priorities.
Share of financing sources for RH
Figure 2 presents the relative share of four major financing sources for RH expenditure: donors, public sector, households (who pay insurance premiums and pay out-of-pocket (OOP) to providers), and other private sector entities, such as private and parastatal enterprises. The countries vary dramatically in the relative share from these sources. Rwanda and Malawi received the largest share from donors (from 57% to roughly 80% of all expenditures on RH, respectively), while public sector funding was rather small. This raises concerns about the sustainability of national RH programmes in case donors withdraw funding, which has happened to many middle-income countries. Tanzania, on the other hand, relied on domestic resources, 80% of total funding.
[FIGURE 2 OMITTED]
Major stakeholders managing RH spending
Who decides and controls how resources are spent? Figure 3 shows the distribution of spending across the main financing agents/managers of health programmes. The government, which manages both own-source and donor financing for RH, was responsible for over 50% of spending in Kenya and Malawi, while in Uganda and Ethiopia, it was a minority player. The government in Rwanda reduced its share from 52% to 34% between 2002 and 2006, while the Tanzanian government increased its share from 35% to 44% in the same period. The government managed less than 50% of all RH spending in three countries and only 50-60% in the other three countries, which greatly limits government decision-making power.
Household OOP expenditure accounted for a substantial share of total RH spending in most countries, the highest being in Uganda at 48% of total spending. This signals a financial burden on households, which could deter people, especially those with limited resources, from accessing necessary RH services.
[FIGURE 3 OMITTED]
Given the importance of household OOP spending, it is useful to see where households spent their money. For FP, Figure 4 disaggregates OOP expenditure by type of FP provider. User fees at public facilities as a share of OOP expenditure for FP almost doubled in Tanzania between 2002 and 2006. The opposite happened in Rwanda, where the share of OOP spending for FP dedicated to user fees at public clinics dropped, while the share of fees paid to non-profit providers increased substantially. Malawi was the only country where user fees at public facilities accounted for more than 90% of OOP spending for FP; in all other countries, the private sector was responsible for more than 50% of OOP spending for FP.
Utilization of RH services
Health expenditure captures inputs into the health system. To assess performance, health system outputs need to be examined. Table 3 provides a general picture of utilization of key RH services that can be tracked through DHS data: FP, ANC, delivery care, and STI treatment. It shows that utilization levels for these RH services are insufficient. Use of modern contraceptives among women of reproductive age is extremely low, especially in Rwanda (3.4% in 2000 and 5.4% in 2005). The highest rate (Kenya in 2003) was only 23%. Countries with two data points, Tanzania and Rwanda, reveal little improvement in the interim, an increase of only 2% in both cases. Unmet need for FP actually increased slightly in Rwanda, between 2000 and 2005.
Antenatal care utilization also shows wide variation between the six countries. The proportion of at least four ANC visits ranged from about 60% in Malawi and Tanzania in 2004 to 12-13% in Ethiopia and Rwanda in 2005. However, Tanzania's ANC utilization declined by nearly 9% between 1999 and 2004. In Ethiopia in 2005, moreover, only 5.3% of most recent deliveries took place in a health facility, which explains the high maternal mortality ratios. In Rwanda and Tanzania again there was only a small improvement in this indicator, less than a 4% increase in institutional delivery in five years.
For the proportion of survey respondents using a formal source for STI care, responses from women and men are pooled except for Tanzania in 2004. Because some DHS data do not allow for a distinction between public and private facilities, formal source of care in this case com bines both public and private. Interestingly, Ethiopia and Uganda, which do not do well in other RH services, showed a high level of formal care seeking for STI (92%), and Rwanda rose from 33% in 2000 to 62% in 2005. Overall, the picture is relatively more positive for STI care than other services, although informal sources still account for 75% of STI care in Malawi.
[FIGURE 4 OMITTED]
It is telling that the utilization patterns in Table 3 closely match the financing picture in Figure 1. Ethiopia is an outstandingly low spender on RH services and programmes and has the least impressive utilization indicators, excepting STI care. On the other hand, Malawi, Kenya, and Uganda, with stronger RH investments, show better overall utilization profiles. For Rwanda and Tanzania, the modest improvement or deterioration over rime happened when RH spending decreased as a share of total health expenditure (Figure 1). Only STI care follows a different pattern, as it is largely funded out of more robustly-funded HIV/AIDS budgets.
Key providers of RH services
Figure 5 presents the suppliers of modern contraceptives for women aged 15-49. Except in Uganda, the public sector plays a major role in supplying modern contraceptives, from 53% in Kenya to 80% in Ethiopia. Uganda has a particularly large private for-profit sector, with private hospitals and clinics supplying 44% of women using modern contraceptives and private shops and pharmacies accounting for another 14%. No changes over time were observed in Tanzania or Rwanda.
[FIGURE 5 OMITTED]
Different providers may be more or less suited to distributing certain contraceptives. To explore the role of the private for-profit sector, Table 4 shows the proportion of women relying on private sources for oral contraceptives, intrauterine devices (IUDs) or condoms. Reliance on the private sector for condom supply, mainly pharmacies and other drug vendors, is noteworthy. Malawi, with a relatively small private sector, had more than 43% of women obtaining condoms from a private source while the proportion in other countries ranged from 63-77%. For oral pills the range was 7.2% (Malawi 2004) to 72.8% (Uganda 2008) and for IUDs 6.5% (Malawi 2004) to 47.2% (Uganda 2006). The virtually exclusive private source of IUDs was private clinics.
For ANC, public hospitals and clinics constituted the major source of care, accounting for 69-97% of all ANC checkups. The role of the private formal sector was small but non-trivial in Ethiopia (8%), Kenya (13%), and Uganda (17%). In Kenya, Malawi, and Tanzania, mission and NGO facilities also play a significant role (15%, 18%, and 10%, respectively) (data not shown).
For home deliveries, the type of assistance women relied on is shown in Figure 6, which distinguishes among different types of birth attendants. Qualified medical professionals from either public and private sectors (which are impossible to separate in the DHS) were rarely present at home delivery. Traditional birth attendants, as well as relatives and friends, accounted for a large share of home delivery assistance.
[FIGURE 6 OMITTED]
Association between RH financing and utilization Although documenting a causal relationship between RH financing and the resultant utilization of RH services is beyond the scope of this paper, the previous section suggests that utilization and spending patterns match with each other rather well in the six countries. To illustrate this further, we plotted RH spending per woman aged 15-49 against institutional delivery rate (Figure 71, which confirms this positive relationship. In other words, institutional delivery is more prevalent in countries that spend more money on RH services. This pattern holds between the six countries, and within Rwanda and Tanzania as well. A similar pattern is observed for the relationship between RH spending and the prevalence of modern contraceptive use (figure not shown).
A number of key issues emerge from this analysis. First, spending on RH services in all six sub-Saharan African countries examined here is far lower than what is required to meet the needs of their populations. These six countries are not even meeting the global benchmark for FP spending, let alone for ensuring universal coverage for a comprehensive package of RH services. Hence, this study underscores the need for increased investment from all sectors and for countries to work out their own financing strategies and mobilize resources.
[FIGURE 7 OMITTED]
The second issue is the role of donors. A majority of RH spending in Malawi and Rwanda is financed by donors; even in Tanzania, which is the strongest in terms of garnering domestic resources for RH spending, donors are responsible for over 20% of total RH spending. This raises the issue of sustainability. Even as we call for greater spending on RH, we would caution against increased donor contributions in the absence of corresponding domestic investments for RH, and a clear plan for how countries can phase out donor support in the future.
The third issue relates to changes in RH financing over time. As the trend data presented here are for Rwanda and Tanzania only, we cannot draw general conclusions. However, the pattern in both countries gives cause for concern, as the evidence suggests that prioritization of funding for RH appeared to decline between 2002 and 2006. In contrast, funding for HIV/AIDS in these countries increased by a magnitude of four on average. (23) Data from another round of RHS will allow us to ascertain whether this trend is continuing in Rwanda and Tanzania, and whether or not a similar pattern is discernable across sub-Saharan Africa.
Fourthly, the analysis finds considerable heterogeneity between countries in terms of the relative role of different types of service providers. Overall, however, it shows that RH service utilization levels in all six countries are highly inadequate. The continuing large role played by the informal sector both for attendance at home delivery and STI treatment poses well-known concerns about safety, efficacy and quality of care.
Lastly there is the link between spending and utilization. While the data from this study are insufficient to prove causation, the analysis presented here does suggest that higher spending on RH is associated with better utilization rates. Under-financing is a key constraint for countries in achieving universal access to reproductive health.
Attempts at comparative analysis across several countries must recognize that countries are highly heterogeneous. We have noted common trends and patterns rather than delving into each country's particulars, which can make for illuminating case studies. The analysis of both financing and utilization trends is purely descriptive and therefore prevents us from making direct causal inferences about the effects of financing on service utilization or vice versa.
Limitations notwithstanding, the analysis contributes to efforts to revitalize interest in RH by highlighting the confluence of two gaps: the gap in financing for RH, and the gap in access to care. Future work can build on this analysis and similar ones for other countries in many ways. For example, it would be useful to develop a country case study that examines the link between financing and utilization trends, and looks at these in the light of national policy and programmes, and the perspectives of both service providers and patients. It would also be instructive to conduct NHA RHSs in more countries (if not all countries) in order to trace financing data systematically. Finally, ensuring that DHS and other surveys continue to capture data on public, private and informal sector sources of services, commodities and treatments will permit the continued tracking of utilization trends and the ability to assess each sector's contributions to sexual and reproductive health.
The authors wish to thank Ruth Berg and Sara Sulzbach for their comments on an earlier version of this paper and Sharon Nakhimousky and Wendy Wong for research assistance. This study was conducted under the auspices of the Private Sector Partnerships--One (PSP-One) project, Abt Associates Inc. Funding for the project was provided by the United States Agency for International Development. The views expressed in the paper are the authors' alone.
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Ha Nguyen, (a) Jeremy Snider, (b) Nirmala Ravishankar, (c) Oyunbileg Magvanjav (d)
(a) Associate/Scientist, International Hearth Division, Abt Associates Inc, Bethesda, MD, USA. E-mail: Ha_Nguyen@abtassoc.com
(b) Senior Analyst, International Health Division, Abt Associates Inc, Bethesda, MD, USA
(c) Associate/Scientist, International Health Division, Abt Associates Inc, Bethesda, MD, USA
(d) Intern, International Health Division, Abt Associates Inc, Bethesda, MD, USA
Table 1. Countries and years of data used for the analysis National Health Demographic Account RH & Health Subaccount Survey Ethiopia 2006 2005 Kenya 2006 2003 Malawi 2004 2004 Rwanda 20,022,006 20,002,005 Tanzania 20,022,006 19,992,004 Uganda 2006 2006 Table 2. Socio-demographic profiles of the six countries 2008 (22,24) Ethiopia Kenya Malawi Total population (millions) 80.7 38.8 14.8 Population growth rate (annual %) 2.6 2.6 2.8 Total fertility rate 5.3 4.9 5.6 Urban population (% of total) 17.0 21.6 18.8 Maternal mortality ratio (per 470.0 530.0 510.0 100,000 births) GDP per capita (constant 2000 US$) 189.8 453.2 158.4 Per capita total health expenditure 11.0 40.0 19.0 (US$ average exchange) Rwanda Tanzania Uganda Total population (millions) 9.7 42.5 31.7 Population growth rate (annual %) 2.8 2.9 3.3 Total fertility rate 5.4 5.6 6.3 Urban population (% of total) 18.3 25.5 13.0 Maternal mortality ratio (per 540.0 790.0 430.0 100,000 births) GDP per capita (constant 2000 US$) 313.2 373.0 348.1 Per capita total health expenditure 48.0 25.0 33.0 (US$ average exchange) Table 3. General utilization patterns of key reproductive health services, DHS data (a) (%) At least Use of modern Unmet need four ANC contraceptives for family checkups-- planning last pregnancy Ethiopia (2005) 9.7 33.8 12.2 Kenya (2003) 22.7 24.5 52.3 Malawi (2004) 22.4 27.6 57.1 Rwanda (2000) 3.4 35.6 10.4 Rwanda (2005) 5.4 37.9 13.3 Tanzania (1999) 15.6 21.8 69.9 Tanzania (2004) 17.6 21.8 61.5 Uganda (2006) 15.4 40.6 47.2 Formal Institutional sector delivery-- treatment last for delivery (b) STIs (c) Ethiopia (2005) 5.3 92.3 Kenya (2003) 40.1 51.1 Malawi (2004) 69.4 24.9 Rwanda (2000) 26.5 33.0 Rwanda (2005) 28.2 61.8 Tanzania (1999) 43.5 73.8 Tanzania (2004) 47.1 91.7 Uganda (2006) 41.8 92.3 (a) Data are for women aged 15-49 except STI information which includes both men and women in all countries except Tanzania in 2004, which did not ask men about place of STI treatment. (b) Includes delivery at public or private facilities. (c) Include public or private facilities but not informal sources. Formal and informal sources add up to 100%. Table 4. Share of private sector source (a) for three modern contraceptives, women aged 15-49 using the method, DHS data (%) Oral pill Private Pharmacies All facilities & drug private vendors Ethiopia (2005) 6.4 14.8 21.2 Kenya (2003) 18.2 22.6 40.8 Malawi (2004) 6.2 1.0 7.2 Rwanda (2000) 18.5 10.7 29.2 Rwanda (2005) 7.0 8.7 15.7 Tanzania (1999) 5.9 8.3 14.2 Tanzania (2004) 2.3 13.5 15.8 Uganda (2006) 54.7 18.1 72.8 Intrauterine device Private Pharmacies All facilities & drug private vendors Ethiopia (2005) 17.7 0 17.7 Kenya (2003) 33.5 0 33.5 Malawi (2004) 6.5 0 6.5 Rwanda (2000) 29.0 0 29.0 Rwanda (2005) 31.1 7.5 38.6 Tanzania (1999) 19.6 0 19.6 Tanzania (2004) 30.6 0 30.6 Uganda (2006) 47.2 0 47.2 Condoms Private Pharmacies All facilities & drug private vendors Ethiopia (2005) 3.8 72.8 76.6 Kenya (2003) 2.2 69.1 71.3 Malawi (2004) 4.2 39.2 43.4 Rwanda (2000) 0.7 62.0 62.7 Rwanda (2005) 9.6 64.5 74.1 Tanzania (1999) 5.5 61.6 67.1 Tanzania (2004) 0.9 72.7 73.6 Uganda (2006) 20.4 48.1 68.5 (a) Private source includes both formal (facilities) and informal (pharmacies and drug vendors). Public sources (not shown) and private sources add up to 100%.
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