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
Why this work is in the frame
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Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it