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Public health

Is the historical implementation of national female education and labor force participation policies associated with the rate of change in maternal mortality ratios across sub-Saharan African countries from 2000 to 2020?

The gap

While the retrieved literature establishes links between female education, political power, and health outcomes (e.g., [3], [6], [9]), no study directly addresses how specific labor or education policy interventions accelerate the 'maternal mortality transition' in high-mortality regions, leaving the mechanism and impact of such specific policies unresolved.

Study design

Retrospective cohort panel study using country-level secondary data (country-year as inferential unit)

High-level approach

Two-way fixed-effects panel regression (country and year fixed effects) with cluster-robust standard errors estimates associations between binary policy adoption indicators and the annual rate of change in log-transformed maternal mortality ratio. An event-study specification with leads and lags tests the parallel-trends assumption, with sensitivity analyses using 3–5 year policy lags, a high-mortality subsample restriction, and additional confounder controls.

Methodology

Design justification

The two-way fixed-effects panel design leverages within-country variation over 2000–2020, controlling for unobserved time-invariant country heterogeneity and common temporal shocks that could confound cross-national comparisons. This approach is well-suited to estimating whether policy adoption is associated with MMR trajectories across sub-Saharan African countries, as it isolates the association between policy timing and outcome changes net of stable country differences [4]. The event-study specification further evaluates whether pre-policy trends are consistent with the identifying assumptions, strengthening the credibility of the associational estimates [[3], [5], [12]].

Population

Sub-Saharan African countries (as defined by the World Bank classification) with populations ≥1 million, yielding approximately 35–40 countries. This region is selected because it contains the highest-mortality countries globally, where the maternal mortality transition is least advanced [[12]]. Countries with incomplete MMR data for ≥50% of the study period are excluded.

Setting

Multi-country panel using secondary data from 2000 to 2020. The start year (2000) aligns with the Millennium Development Goals era, which marked a global inflection point in maternal health policy attention. Data are drawn from harmonized international databases rather than primary data collection.

Sampling

Purposive / purposeful sampling — all sub-Saharan African countries meeting the inclusion criteria (population ≥1 million, adequate MMR data availability) are included. This is a census of eligible countries rather than a probability sample, as the inferential unit is the country-year and the target population is the set of high-mortality countries in the region.

Sample-size approach

n/a (census of eligible sub-Saharan African countries). With approximately 35–40 countries observed over 21 years (2000–2020), the panel yields approximately 735–840 country-year observations. Statistical power for panel fixed-effects regression with ~35–40 clusters and T=21 time periods is generally adequate for detecting moderate associations (standardized effect size ≥0.3) at α=0.05, though inference will use cluster-robust standard errors to account for the modest number of clusters.

Variables

Outcome: Maternal Mortality Ratio (MMR, maternal deaths per 100,000 live births), modeled as a continuous annual rate of change. Primary exposures (time-varying, binary indicators coded 0 before policy adoption and 1 from the year of adoption onward): (a) implementation of a national policy mandating free or compulsory secondary education for girls; (b) implementation of national legislation promoting female labor force participation (e.g., anti-discrimination laws, paid maternity leave expansion, female employment quotas). Confounders (time-varying): GDP per capita (PPP), total health expenditure per capita, proportion of births attended by skilled health personnel, female secondary school enrollment rate, total fertility rate, urban population share, and HIV prevalence among women aged 15–49. These confounders are informed by the determinants framework in [12] and the skilled birth attendance mechanism identified by [4]. Country-fixed effects absorb time-invariant unobserved heterogeneity; year-fixed effects absorb common global shocks.

Data sources

Maternal Mortality Ratio: WHO/UNICEF/UNFPA/World Bank Group Trends in Maternal Mortality estimates. Education policy adoption dates: UNESCO World Education Indicators and country legislative records. Labor force participation policy adoption dates: ILO NATLEX database and World Bank Women, Business and the Law database. GDP per capita, health expenditure, fertility rate, urban population: World Development Indicators. Skilled birth attendance: UNICEF data warehouse and DHS/MICS national surveys. HIV prevalence: UNAIDS estimates. Female secondary enrollment: UNESCO Institute for Statistics. These sources follow the secondary-data approach of [[8]] (World Development Indicators) and [[4]] (cross-country maternal mortality data).

Time

6–9 months for data acquisition, cleaning, policy coding (which requires manual review of legislative records), and analysis. Suitable for a PhD dissertation chapter or an early-career researcher project.

Cost

Low — all data are from publicly available secondary sources (WHO, World Bank, UNESCO, ILO, UNAIDS). No primary data collection. Costs limited to research software (Stata or R, both typically institutionally licensed) and potential conference travel for dissemination.

Ethics

IRB review likely exempt or not required — the study uses publicly available, aggregated country-level secondary data with no individual human subjects. However, a formal ethics exemption letter from the institutional IRB is recommended for documentation.

Grounding references

  1. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 — Masayuki Teramoto, Gregory A. Roth, Aleksandr Y. Aravkin, Peng Zheng, Kalkidan Hassen Abate, Yohannes Abate · The Lancet, 2024 · DOI 10.1016/s0140-6736(24)00933-4
  2. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 — Masayuki Teramoto, Hmwe Hmwe Kyu, Amirali Aali, Cristiana Abbafati, Jaffar Abbas, Rouzbeh Abbasgholizadeh · The Lancet, 2024 · DOI 10.1016/s0140-6736(24)00476-8
  3. Determinants of female labor force participation: implications for policy in Qatar — Noora Lari, Amal Awadalla, Mohammad Al-Ansari, Engi Elmaghraby · Cogent Social Sciences, 2022 · DOI 10.1080/23311886.2022.2130223
  4. Maternal Mortality and Women’s Political Power — Sonia Bhalotra, Damian Clarke, Joseph Flavian Gomes, Atheendar Venkataramani · Journal of the European Economic Association, 2023 · DOI 10.1093/jeea/jvad012
  5. The labor force participation of Indian women before and after widowhood — Megan N. Reed · Demographic Research, 2020 · DOI 10.4054/demres.2020.43.24
  6. The public health effects of interventions similar to basic income: a scoping review — Marcia Gibson, Wendy Hearty, Peter Craig · The Lancet Public Health, 2020 · DOI 10.1016/s2468-2667(20)30005-0
  7. Differential impact of maternal education on under-five mortality in rural and urban India — Moradhvaj, K. C. Samir · Health & Place, 2023 · DOI 10.1016/j.healthplace.2023.102987
  8. Public Health Expenditure and Under-five Mortality in Nigeria: An Overview for Policy Intervention — Dominic E. Azuh, Romanus Osabohien, Mary U Orbih, Abigail Godwin · Open Access Macedonian Journal of Medical Sciences, 2020 · DOI 10.3889/oamjms.2020.4327
  9. Efficacy of companion-integrated childbirth preparation for childbirth fear, self-efficacy, and maternal support in primigravid women in Malawi — Berlington Munkhondya, Tiwonge Ethel Mbeya Munkhondya, Ellen Chirwa, Honghong Wang · BMC Pregnancy and Childbirth, 2020 · DOI 10.1186/s12884-019-2717-5
  10. The contribution of female health to economic development — David E. Bloom, Michael Kühn, Klaus Prettner · The Economic Journal, 2020 · DOI 10.1093/ej/ueaa061

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