Impact of health intervention coverage on reducing maternal mortality in 126 low- and middle-income countries: a Lives Saved Tool modelling study.

Xi-Ru Guo, Jue Liu, Hai-Jun Wang
Author Information
  1. Xi-Ru Guo: Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center-Weifang Joint Research Center for Maternal and Child Health, No. 38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
  2. Jue Liu: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Rd, Haidian District, Beijing, 100191, China. jueliu@bjmu.edu.cn.
  3. Hai-Jun Wang: Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center-Weifang Joint Research Center for Maternal and Child Health, No. 38 Xueyuan Rd, Haidian District, Beijing, 100191, China. whjun@pku.edu.cn. ORCID

Abstract

BACKGROUND: There is a continued and urgent need to address the stagnation of the global maternal mortality ratio (MMR), especially for low- and middle-income countries (LMICs). We aimed to assess the impact of scaling up health intervention coverage on reducing MMR under four scenarios for 126 LMICs.
METHODS: We conducted the modelling study to estimate MMR and additional maternal lives saved by intervention by 2030 for 126 LMICs using the Lives Saved Tool (LiST). We applied four scenarios to assess the impact of scaling up health intervention coverage with no scale-up (no change), a modest scale-up (increased by 2% per year), a substantial scale-up (increased by 5% per year), and universal coverage (coverage reached 95% by 2030). In sensitivity analysis, with the current trend, we assumed that coverage of each intervention remained unchanged from 2024, with MMR changing according to the annual percentage change (APC) of 2015-2020.
RESULTS: Among the 126 LMICs, 31.7% (40/126) countries showed an increase in MMR, and 38.1% (48/126) stalled on the reduction of MMR from 2015 to 2020. With a modest, substantial, or universal scale-up, the 2030 average MMR would be 172.1 (117.6-262.9), 139.8 (95.6-213.5) or 98.6 (67.8-149.7), not reaching the SDG Target 3.1. Additional maternal lives saved by scaling up the coverage of health interventions were mainly clustered in the African Region, the Southeast Asia Region, and the Eastern Mediterranean Region. Compared with other included interventions, uterotonics for postpartum hemorrhage, assisted vaginal delivery and cesarean delivery played more important roles in reducing maternal mortality.
CONCLUSIONS: The study findings highlighted that even under a substantial scale-up of intervention coverage or scaling up to universal coverage of interventions, it would be difficult for the 126 LMICs to achieve the SDG Target 3.1 on time. Optimizing the allocation of health resources, promoting health equality, taking more decisive national, regional and global actions are urgently needed for LMICs to reduce MMR and reach the SDG Target 3.1.

Keywords

References

  1. J Glob Health. 2017 Dec;7(2):020401 [PMID: 28959436]
  2. Lancet Glob Health. 2021 Mar;9(3):e267-e279 [PMID: 33333015]
  3. Lancet. 2024 May 18;403(10440):2259-2262 [PMID: 38762327]
  4. BMC Public Health. 2021 Aug 11;21(1):1536 [PMID: 34380436]
  5. Lancet Glob Health. 2021 Jan;9(1):e24-e32 [PMID: 33275948]
  6. Lancet. 2024 Feb 3;403(10425):417-419 [PMID: 38348648]
  7. Lancet Glob Health. 2024 Feb;12(2):e306-e316 [PMID: 38070536]
  8. Lancet. 2023 Aug 19;402(10402):601 [PMID: 37598684]
  9. Obstet Gynecol Clin North Am. 2022 Dec;49(4):713-733 [PMID: 36328676]
  10. J Am Coll Cardiol. 2020 Oct 6;76(14):1690-1702 [PMID: 33004135]
  11. Lancet. 2018 Apr 14;391(10129):1538-1548 [PMID: 29395268]
  12. Int J Environ Res Public Health. 2022 Oct 12;19(20): [PMID: 36293727]
  13. J Public Health Policy. 2016 Sep;37 Suppl 1:13-31 [PMID: 27638240]
  14. BMC Pregnancy Childbirth. 2022 Apr 25;22(1):360 [PMID: 35468759]
  15. Global Health. 2015 Feb 12;11:4 [PMID: 25889910]
  16. Lancet Glob Health. 2014 Jun;2(6):e323-33 [PMID: 25103301]
  17. JAMA. 2023 Nov 14;330(18):1729-1730 [PMID: 37831443]
  18. Health Policy Plan. 2022 Aug 3;37(7):895-914 [PMID: 35459943]
  19. Obstet Gynecol Surv. 2022 Nov;77(11):665-682 [PMID: 36345105]
  20. Pan Afr Med J. 2024 Mar 06;47:109 [PMID: 38766561]
  21. Nurs Res. 2020 Jan/Feb;69(1):42-50 [PMID: 31609900]
  22. JAMA. 2015 Dec 1;314(21):2263-70 [PMID: 26624825]
  23. Curr Hypertens Rep. 2020 Aug 27;22(9):66 [PMID: 32852691]
  24. BJOG. 2017 Aug;124(9):1335-1344 [PMID: 28139878]
  25. J Glob Health. 2019 Jun;9(1):011102 [PMID: 31131106]
  26. Int J Public Health. 2018 May;63(Suppl 1):47-61 [PMID: 28776252]
  27. Lancet. 2011 Feb 5;377(9764):516-25 [PMID: 21269675]
  28. BMC Public Health. 2013;13 Suppl 3:S1 [PMID: 24564438]

Grants

  1. 72122001/National Natural Foundation of China
  2. KY202101004/the National Science and Technology Project on Development Assistance for Technology, Developing China-ASEAN Public Health Research and Development Collaborating Center
  3. QY23073/the Beijing Municipal Natural Science Foundation

MeSH Term

Maternal Mortality
Humans
Female
Developing Countries
Pregnancy
Global Health
Universal Health Insurance
Maternal Health Services

Word Cloud

Created with Highcharts 10.0.0coverageMMRinterventionLMICshealthmaternal126scale-upmortalityscalingstudy1middle-incomecountriesreducing2030substantialuniversalSDGTarget3interventionsRegiongloballow-assessimpactfourscenariosmodellinglivessavedLivesSavedToolchangemodestincreasedperyeardeliveryBACKGROUND:continued andurgentneedaddressstagnationratioespeciallyaimedMETHODS:conductedestimateadditionalusingLiSTapplied2%5%reached95%sensitivityanalysiscurrenttrendassumedremainedunchanged2024changingaccordingannualpercentageAPC2015-2020RESULTS:Among317%40/126showedincrease381%48/126stalledreduction20152020average1721176-26291398956-2135986678-1497reachingAdditionalmainlyclusteredAfricanSoutheastAsiaEasternMediterraneanComparedincludeduterotonicspostpartumhemorrhageassistedvaginalcesareanplayedimportantrolesCONCLUSIONS:findingshighlightedevendifficultachievetimeOptimizingallocationresourcespromotingequalitytakingdecisivenationalregionalactionsurgentlyneededreducereachImpactcountries:HealthLow-MaternalModelling

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