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Maternal Mortality Figures Revised After Data Extraction Error

The admission by The Gambia’s Minister of Health, Dr. Amadou Samateh, before the National Assembly raises both reassurance and concern in equal measure—reassurance that the error was identified and corrected, and concern that such a critical statistic could be misreported at all in the first place.

Maternal mortality is not an abstract indicator; it is one of the most sensitive measures of a country’s health system performance. In his clarification to lawmakers, including Banjul Central NAM Abdoulie Njai, the minister explained that the discrepancy stemmed from the misuse of variables within the Ministry of Health’s District Health Information System (DHIS2), leading to an incorrect presentation of the maternal mortality ratio. The corrected figure—161.1 deaths per 100,000 live births, alongside an institutional ratio of 128.8—places renewed focus on the urgency of maternal health challenges in the country.

While the Ministry attributed the issue to a data retrieval error rather than flawed underlying data, the episode highlights a broader vulnerability: reliance on complex digital health systems without sufficient safeguards at every stage of data handling. Systems like DHIS2 are designed to improve accuracy and transparency, but they are only as reliable as the processes and training behind their use.

What is particularly significant is the ministry’s acknowledgment of internal accountability measures, including reprimanding responsible officers and tightening verification procedures. That response signals an awareness of the seriousness of data integrity in public health governance. However, disciplinary action alone does not fully address the systemic question: how can such a critical misstep pass internal review in the first place?

The minister’s emphasis on maternal death audits and ongoing investment in infrastructure and emergency care reflects the right policy direction. Yet accurate data is the foundation on which all of these interventions rest. Without it, even well-funded health strategies risk being misdirected or improperly evaluated.

In the end, this incident serves as a reminder that improving maternal health in The Gambia is not only about hospitals, staff, and equipment—it is also about building a data culture where precision is treated as essential, not procedural.

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