County Prevalence Versus Population Exposure to Maternity Service Absence: Implications for Maternal Health Surveillance
This study demonstrates that relying solely on county-level prevalence to measure maternity service absence significantly overstates the actual population burden compared to population exposure metrics, particularly in metropolitan areas, thereby highlighting the need for both measures to accurately inform maternal health surveillance and resource allocation.
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
In the United States, the landscape of healthcare is often mapped by counting places. When researchers want to understand where services are missing, they frequently look at counties, the administrative divisions that cover the map. A common way to describe a lack of care is to count how many of these counties have no hospital offering labor and delivery services. This approach treats every county as a single unit, regardless of whether it is a bustling city center or a quiet, sparsely populated rural area. This method, known as prevalence, answers the question of how widespread the absence of services is across the geography. However, geography does not always match the people living within it. A different way to measure the problem is to look at population exposure, which asks how many actual women of childbearing age or how many babies are born in those service-free areas. This distinction matters because the two methods can tell very different stories about the same situation. If a policy maker relies only on the count of empty counties, they might believe a crisis is far more widespread among the population than it actually is, or conversely, they might miss where the people who need help most are concentrated.
A recent study by Christina Laternser at Ann & Robert H. Lurie Children's Hospital of Chicago examined this exact issue using data from Illinois between 2015 and 2023. The researcher wanted to see if the standard way of counting counties without maternity services matched the reality of how many women and births were actually affected. To do this, she gathered information on every hospital in the state's 102 counties to see which ones reported offering inpatient obstetric care. She then compared the percentage of counties that had no such services against the percentage of women aged 15 to 44 and the percentage of live births that occurred in those same counties. The study also looked at whether these patterns changed from year to year, checking if the lack of services was a temporary fluctuation or a stable feature of the healthcare system.
The findings revealed a significant gap between the map and the people. In the rural, non-metropolitan parts of Illinois, the difference was noticeable but manageable. About 46 to 48 percent of these rural counties lacked maternity services. However, because these counties are generally smaller, they contained only about 24 to 27 percent of the women of reproductive age and births. This means that while nearly half the rural counties were empty of services, the actual burden on the population was roughly half that number. The situation was dramatically different in the metropolitan, or urban, counties. In these areas, about 30 percent of the counties reported having no maternity services. Yet, because the counties with services were huge population hubs, only about 3 percent of the women and births in the entire metropolitan region were actually living in a county without a hospital.
This created a situation where the standard way of counting counties overstated the problem by nearly ten times in urban areas. If one looked only at the map, it would appear that 30 percent of the urban population was affected, when in reality, only 3 percent was. The study showed that this discrepancy was not a one-time error but a consistent pattern that held true from 2015 through 2023. The classification of which counties had services and which did not remained remarkably stable over the nine-year period. Very few counties changed their status; in the rural areas, only two counties gained services and two lost them, while no metropolitan counties changed at all. This stability suggests that the absence of services is a durable structural feature of the healthcare system rather than a temporary shortage.
The researcher also looked at the size of the communities involved. Counties without maternity services were consistently smaller in population and had fewer births than those with services. In the rural areas, a county without a hospital averaged about 151 births a year, while a county with a hospital averaged 366. In the cities, the gap was even wider: a city county without a hospital had about 352 births, whereas a city county with a hospital had over 4,600. This explains why the population numbers diverge so sharply from the county counts. The few counties that lost their services in the cities were small, so their absence did not move the needle on the total number of people affected, even though it increased the count of "empty" counties significantly.
The study concludes that counting counties and counting people are two different tools that answer two different questions. Counting counties tells us how widely the absence of services is spread across the land, while counting people tells us how many individuals are actually impacted. Relying on the count of counties alone can mislead those trying to allocate resources or understand the scale of the problem, particularly in urban regions where a few small, service-free counties can make the problem look ten times larger than it is for the actual population. The author suggests that to get an accurate picture of maternal health access, reports should include both measures. By doing so, planners can distinguish between the geographic spread of the issue and the true human burden, ensuring that resources are directed where the need is greatest rather than where the empty counties are most numerous.
Drowning in papers in your field?
Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.