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Peer-reviewedCC BY 4.0Frontiers in Global Women's Health

Why women’s health financing collapses when donors retreat and interest payments rise

  1. 1Department of Development Studies, Nabakrushna Choudhury Centre for Development Studies, Bhubaneswar, India

Abstract

Background: Stagnant government health expenditure (GHE) and declining development assistance for health (DAH) threaten universal health coverage (UHC) for women in low-income countries (LICs) and lower-middle-income countries (LMICs). Women's health financing remains under-resourced and vulnerable to fiscal austerity, debt distress, and donor withdrawal. This study quantifies the crowding-out effect of debt service on government expenditure for women's health (GHEW) and estimates the probability of closing women-specific UHC financing gaps under alternative donor withdrawal scenarios.

Methods: A balanced panel of 71 countries (32 LICs and 39 LMICs), comprising 497 country-years from 2018 to 2025, was constructed using WHO, IMF, World Bank, OECD, IHME, and DHS data. A fixed-effects instrumental-variable model estimated determinants of GHEW using lagged GHE and donor-alignment instruments (first-stage F = 41.2). A Cox survival model projected the probability of closing women's UHC financing gaps by 2030, defined as combined spending reaching ≥80% of sex-disaggregated benchmarks (US$62 for LICs and US$95 for LMICs). Projections incorporated announced donor reductions with probabilistic scenarios. Validation included out-of-sample forecasting, placebo tests, and patient-level DHS validation.

Findings: Median combined LIC spending increased only marginally, from US$15.90 in 2018 to US$16.40 in 2025. Each 1-percentage-point increase in debt service as a share of GDP reduced GHEW by 4.2% (β=−0.042, p < 0.001), significantly exceeding its effect on general health expenditure (β=−0.012, p = 0.032; difference p = 0.008). Under baseline projections, no LIC and 23.1% of LMICs were projected to close women's UHC financing gaps by 2030. Each 1% decline in DAH reduced gap-closure probability by 6.1% (HR = 0.939, p = 0.002), whereas fiscal-space expansion nearly tripled closure likelihood (HR = 2.947, p = 0.018). Patient-level validation showed that a US$10 increase in predicted spending was associated with a 4.2-percentage-point increase in skilled birth attendance (95% CI 2.8–5.6).

Interpretation: Debt service disproportionately crowds out women's health expenditure, highlighting gendered consequences of fiscal adjustment. Abrupt donor withdrawal makes UHC financing gaps virtually unattainable in aid-dependent LICs without domestic reprioritization. Debt-for-health swaps, phased donor transitions, and increased women's health expenditure shares are critical. Raising the women's health share by ≥2.5 percentage points could increase LIC gap-closure probability to approximately 31% by 2030 (range 22%–41%).

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BibTeX
@article{sethy2026womens,
  title = {{Why women’s health financing collapses when donors retreat and interest payments rise}},
  author = {Mayadhar Sethy},
  journal = {Frontiers in Global Women's Health},
  year = {2026},
  month = oct,
  doi = {10.3389/fgwh.2026.1894105},
  url = {https://doi.org/10.3389/fgwh.2026.1894105},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Why women’s health financing collapses when donors retreat and interest payments rise
AU  - Mayadhar Sethy
PY  - 2026
DA  - 2026/10/21
JO  - Frontiers in Global Women's Health
DO  - 10.3389/fgwh.2026.1894105
UR  - https://doi.org/10.3389/fgwh.2026.1894105
AB  - Background: Stagnant government health expenditure (GHE) and declining development assistance for health (DAH) threaten universal health coverage (UHC) for women in low-income countries (LICs) and lower-middle-income countries (LMICs). Women's health financing remains under-resourced and vulnerable to fiscal austerity, debt distress, and donor withdrawal. This study quantifies the crowding-out effect of debt service on government expenditure for women's health (GHEW) and estimates the probability of closing women-specific UHC financing gaps under alternative donor withdrawal scenarios.  Methods: A balanced panel of 71 countries (32 LICs and 39 LMICs), comprising 497 country-years from 2018 to 2025, was constructed using WHO, IMF, World Bank, OECD, IHME, and DHS data. A fixed-effects instrumental-variable model estimated determinants of GHEW using lagged GHE and donor-alignment instruments (first-stage F = 41.2). A Cox survival model projected the probability of closing women's UHC financing gaps by 2030, defined as combined spending reaching ≥80% of sex-disaggregated benchmarks (US$62 for LICs and US$95 for LMICs). Projections incorporated announced donor reductions with probabilistic scenarios. Validation included out-of-sample forecasting, placebo tests, and patient-level DHS validation.  Findings: Median combined LIC spending increased only marginally, from US$15.90 in 2018 to US$16.40 in 2025. Each 1-percentage-point increase in debt service as a share of GDP reduced GHEW by 4.2% (β=−0.042, p < 0.001), significantly exceeding its effect on general health expenditure (β=−0.012, p = 0.032; difference p = 0.008). Under baseline projections, no LIC and 23.1% of LMICs were projected to close women's UHC financing gaps by 2030. Each 1% decline in DAH reduced gap-closure probability by 6.1% (HR = 0.939, p = 0.002), whereas fiscal-space expansion nearly tripled closure likelihood (HR = 2.947, p = 0.018). Patient-level validation showed that a US$10 increase in predicted spending was associated with a 4.2-percentage-point increase in skilled birth attendance (95% CI 2.8–5.6).  Interpretation: Debt service disproportionately crowds out women's health expenditure, highlighting gendered consequences of fiscal adjustment. Abrupt donor withdrawal makes UHC financing gaps virtually unattainable in aid-dependent LICs without domestic reprioritization. Debt-for-health swaps, phased donor transitions, and increased women's health expenditure shares are critical. Raising the women's health share by ≥2.5 percentage points could increase LIC gap-closure probability to approximately 31% by 2030 (range 22%–41%).
SN  - 2673-5059
ER  -