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.

Magnitude of maternal and neonatal mortality in Tanzania: A systematic review.

BACKGROUND: Maternal and neonatal mortality remains a serious challenge in Tanzania. Progress is tracked through maternal mortality ratios (MMR) and neonatal mortality rates (NMR), yet robust national data on these outcomes is difficult and expensive to ascertain, and mask wide variation. SEARCH STRATEGY: We searched EMBASE, MEDLINE, Popline, and EBSCO online databases, basing search terms on ("maternal" OR "neonatal") AND ("mortality" OR "cause of death") AND "Tanzania." SELECTION CRITERIA: Nationally representative or population representative from the subnational context were eligible, providing NMR, MMR, or numbers of maternal deaths or early neonatal deaths or neonatal deaths and live births. DATA COLLECTION AND ANALYSIS: Data were extracted on study context, time period, number of deaths and live births, definition of maternal and neonatal death, study design, and completeness and representativeness of data. NMR and MMR were extracted or calculated and study quality was assessed. Nationally representative data were compared with modelled national data from international agencies. MAIN RESULTS: 2107 records were screened yielding 21 maternal mortality and 15 neonatal mortality datasets. There were high mortality levels with wide subnational MMR and NMR variation. National survey data differed from the modelled estimates, with wide uncertainty ranges. CONCLUSION: Subnational data quality was generally poor with no observable trends and geographical clustering across several regions. Combined MMR and NMR reporting is uncommon. Modelled national estimates lack precision and are complex to interpret. Results suggest that aggregate national data are inadequate for policy generation and progress monitoring. We recommend strengthening of vital registration and Health Management Information Systems with complementary use of process indicators, for improved monitoring of, and accountability for maternal and newborn health.

Tanzania's countdown to 2015: an analysis of two decades of progress and gaps for reproductive, maternal, newborn, and child health, to inform priorities for post-2015.

BACKGROUND: Tanzania is on track to meet Millennium Development Goal (MDG) 4 for child survival, but is making insufficient progress for newborn survival and maternal health (MDG 5) and family planning. To understand this mixed progress and to identify priorities for the post-2015 era, Tanzania was selected as a Countdown to 2015 case study. METHODS: We analysed progress made in Tanzania between 1990 and 2014 in maternal, newborn, and child mortality, and unmet need for family planning, in which we used a health systems evaluation framework to assess coverage and equity of interventions along the continuum of care, health systems, policies and investments, while also considering contextual change (eg, economic and educational). We had five objectives, which assessed each level of the health systems evaluation framework. We used the Lives Saved Tool (LiST) and did multiple linear regression analyses to explain the reduction in child mortality in Tanzania. We analysed the reasons for the slower changes in maternal and newborn survival and family planning, to inform priorities to end preventable maternal, newborn, and child deaths by 2030. FINDINGS: In the past two decades, Tanzania's population has doubled in size, necessitating a doubling of health and social services to maintain coverage. Total health-care financing also doubled, with donor funding for child health and HIV/AIDS more than tripling. Trends along the continuum of care varied, with preventive child health services reaching high coverage (≥85%) and equity (socioeconomic status difference 13-14%), but lower coverage and wider inequities for child curative services (71% coverage, socioeconomic status difference 36%), facility delivery (52% coverage, socioeconomic status difference 56%), and family planning (46% coverage, socioeconomic status difference 22%). The LiST analysis suggested that around 39% of child mortality reduction was linked to increases in coverage of interventions, especially of immunisation and insecticide-treated bednets. Economic growth was also associated with reductions in child mortality. Child health programmes focused on selected high-impact interventions at lower levels of the health system (eg, the community and dispensary levels). Despite its high priority, implementation of maternal health care has been intermittent. Newborn survival has gained attention only since 2005, but high-impact interventions are already being implemented. Family planning had consistent policies but only recent reinvestment in implementation. INTERPRETATION: Mixed progress in reproductive, maternal, newborn, and child health in Tanzania indicates a complex interplay of political prioritisation, health financing, and consistent implementation. Post-2015 priorities for Tanzania should focus on the unmet need for family planning, especially in the Western and Lake regions; addressing gaps for coverage and quality of care at birth, especially in rural areas; and continuation of progress for child health. FUNDING: Government of Canada, Foreign Affairs, Trade, and Development; US Fund for UNICEF; and the Bill & Melinda Gates Foundation.