Spatiotemporal patterns of mortality from stroke and acute myocardial infarction in Ecuador (2018-2024) and their relationship with critical care infrastructure and specialized personnel: a nationwide ecological study
This nationwide ecological study of Ecuador (2018–2024) reveals that stroke and acute myocardial infarction mortality exhibit significant, persistent geographic clustering in specific regions that cannot be explained by variations in critical care infrastructure or specialized personnel, suggesting that other territorial determinants such as risk factor burden and access timeliness are the primary drivers of these disparities.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Every year, millions of people around the world face sudden, life-threatening heart attacks or strokes. These events are not just medical emergencies; they are also deeply geographic. In many places, where you live determines how likely you are to survive them. Scientists have long suspected that these deaths cluster in specific areas, often because those places lack hospitals, doctors, or the time needed to get to care. But until now, no one had formally mapped these patterns across an entire country to see if the clusters were real statistical facts or just random noise, nor had they tested whether the presence of critical care resources actually explained why some areas were deadlier than others. This question matters because if the problem is simply a lack of hospitals, the solution is to build more. If the problem is something else, building more hospitals might not save lives.
A team of researchers in Ecuador set out to answer this by looking at the entire nation over seven years, from 2018 to 2024. They focused on two specific killers: acute myocardial infarction, which is the medical term for a severe heart attack, and stroke. They gathered data on every death from these causes recorded in the country, along with information on how many intensive care beds and specialized doctors were available in each of the 221 administrative regions, known as cantons. By using a method that checks if deaths in one area are statistically linked to deaths in neighboring areas, they could see if the map showed a true pattern of high risk. They then asked a crucial question: did the areas with the most deaths simply have fewer doctors and fewer hospital beds, or was something else driving the danger?
The researchers found that the map of death was not random. For heart attacks, there was a massive, statistically confirmed cluster of high risk covering 29 cantons in the south-central coastal region, including the country's largest city, Guayaquil. People living in this specific zone were nearly three times more likely to die from a heart attack than those living elsewhere, a pattern that held true even when the researchers adjusted for the year of death. Stroke deaths showed a similar, though slightly less intense, pattern of clustering. The study also revealed that while the number of deaths in the community rose sharply for heart attacks after 2019, the number of deaths inside hospitals actually went down for both conditions. This suggests that people who made it to the hospital were being treated better, but many more were dying before they could get there.
The most surprising discovery was that the presence of critical care resources did not explain these deadly clusters. The researchers expected to find that the high-risk areas had fewer intensive care beds or fewer heart and brain specialists. Instead, they found that the cluster included Guayaquil, which has the highest concentration of intensive care beds in the entire country. Even when they looked at the availability of specialized staff, such as neurologists and cardiac surgeons, the data showed no link between having more of these professionals and having fewer deaths. In fact, the high-risk pattern remained just as strong, and sometimes even stronger, after the researchers accounted for the number of beds and doctors. This ruled out the simple idea that a lack of hospital infrastructure was the primary cause of the extra deaths in these areas.
The study also examined poverty, measured by the percentage of people lacking basic needs like clean water or adequate housing. The researchers found a counterintuitive result: the cantons with the highest levels of poverty actually had lower recorded death rates from heart attacks and strokes. The authors suggest this is likely because in the remote, poor regions of the Amazon, deaths are often not recorded or diagnosed correctly, rather than because the people there are healthier. When they adjusted for this, the high-risk cluster on the coast became even more distinct. This points to a complex reality where the danger is not just about how many beds exist, but perhaps about how quickly people can reach them, the quality of the diagnosis, or the burden of risk factors like high blood pressure and smoking in the population.
Ultimately, the research paints a picture of a country where the ability to survive a heart attack or stroke depends heavily on geography, but not in the way most people assume. The danger is concentrated in a specific coastal region that is well-equipped with hospitals and doctors, yet still suffers from significantly higher death rates. The steady decline in hospital death rates suggests that the medical care inside the walls is improving, but the rising number of community deaths indicates that the real crisis happens on the road to the hospital. The findings suggest that to save lives, the focus must shift from simply counting hospital beds to understanding the barriers that prevent people from getting to those beds in time, and addressing the underlying health risks that make these specific territories so deadly.
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