Background: The lessons learned from the study of maternal deaths depend on the accuracy of data. Our objective was to assess time trends in the underestimation of maternal mortality (MM) in the national routine death statistics in France and to evaluate their current accuracy for the selection and causes of maternal deaths.
Methods: National data obtained by enhanced methods in 1989, 1999, and 2007-09 were used as the gold standard to assess time trends in the underestimation of MM ratios (MMRs) in death statistics. Enhanced data and death statistics for 2007-09 were further compared by characterising false negatives (FNs) and false positives (FPs). The distribution of cause-specific MMRs, as assessed by each system, was described.
Results: Underestimation of MM in death statistics decreased from 55.6% in 1989 to 11.4% in 2007-09 (P < 0.001). In 2007-09, of 787 pregnancy-associated deaths, 254 were classified as maternal by the enhanced system and 211 by the death statistics; 34% of maternal deaths in the enhanced system were FNs in the death statistics, and 20% of maternal deaths in the death statistics were FPs. The hierarchy of causes of MM differed between the two systems. The discordances were mainly explained by the lack of precision in the drafting of death certificates by clinicians.
Conclusion: Although the underestimation of MM in routine death statistics has decreased substantially over time, one third of maternal deaths remain unidentified, and the main causes of death are incorrectly identified in these data. Defining relevant priorities in maternal health requires the use of enhanced methods for MM study.
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http://dx.doi.org/10.1111/ppe.12153 | DOI Listing |
Lancet Reg Health Eur
March 2025
Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
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Pak J Med Sci
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Lin Lin Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical, Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, China.
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World J Clin Oncol
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Department of Community Health, School of Public Health, Amref International University, Nairobi, Kenya.
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Emergency Medicine, Ministry of Health, Riyadh, SAU.
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