This Week in Public Health: Maternal Health Risks, Rural Cancer Care, and the Limits of AI
New research this week highlights a major public health challenge: better technology and more medical knowledge do not always mean people receive better care.
From rising pregnancy complications to gaps in cancer testing, researchers are finding that where people live, what insurance they have, and whether they can reach a specialist can make a major difference in their health.
Several studies also explored whether artificial intelligence (AI) can improve health care. The results suggest that AI may be useful, but it cannot replace trained professionals or fix problems in the health care system.
Here are some of the most important findings from this week’s research.
Serious Pregnancy Complications Are Rising in the United States
Researchers examined more than 27 million hospital deliveries between 2015 and 2022. They found that about 563,000 involved severe maternal morbidity, a medical term for serious health complications during pregnancy or childbirth. Among these cases, 2,320 resulted in death.
The findings were concerning. The rate of serious complications increased by more than 40% during the study period. Researchers also found significant increases in 16 of the 21 complications they examined.
Insurance coverage was another important factor.
Across every racial and ethnic group studied, patients covered by Medicaid faced higher odds of serious complications than patients with private insurance in the same group.
The difference was especially large for Native American patients with Medicaid, who had 44% higher odds of experiencing serious complications than Native American patients with private insurance. Hispanic patients had 29% higher odds, while Asian or Pacific Islander patients had 28% higher odds.
However, these findings do not mean Medicaid causes pregnancy complications.
Instead, insurance type may reflect larger problems. People with lower incomes may have more difficulty finding doctors, getting care before pregnancy, or receiving regular prenatal checkups. Some communities also face shortages of maternity care providers.
Improving maternal health requires more than encouraging healthy choices during pregnancy. Policymakers must also address unequal access to care, insurance coverage, and the resources available to hospitals and health professionals.
Rural Cancer Patients Are Missing Important Tests
Modern cancer treatment increasingly depends on understanding the genetic changes that drive a person’s cancer.
For patients with advanced non-small cell lung cancer, molecular testing can help doctors identify treatments that target specific features of a tumor.
But a new study found that many rural patients are not receiving these important tests.
Researchers examined 8,259 rural Medicare patients, ages 66 and older, who were diagnosed with advanced lung cancer between 2014 and 2019.
Only 35.9% received molecular testing within six months of their diagnosis.
Patients with Medicaid coverage were less likely to receive testing. Testing was also less common among patients with a particular type of lung cancer called squamous cell carcinoma.
Access to specialists appeared to play an important role.
Among patients who received molecular testing, nearly 78% had seen both a cancer specialist and a surgeon or another procedural specialist. Among patients who did not receive testing, that number was only about 59%.
This suggests that patients connected to multiple specialists may have better access to testing.
Rural patients often face long travel distances, fewer medical specialists, and hospitals that may not offer advanced cancer services.
A treatment cannot help someone who never gets the test needed to identify it. Better connections between rural hospitals and cancer centers, along with telehealth and improved referral systems, could help more patients receive appropriate testing and treatment.
Can Reddit Offer Good Mental Health Advice?
Millions of people turn to online communities when they feel anxious, depressed, or unsure where to find help.
But how reliable is the advice they receive?
A new study examined 1,065 posts and popular responses from Reddit’s r/mentalhealth community. Researchers focused on conversations about anxiety and depression and compared the advice with established mental health guidelines.
They found that much of the most popular advice matched recommendations used by mental health professionals.
Common suggestions included seeking professional help, building healthy routines, connecting with supportive people, managing emotions, and taking small steps toward positive activities.
These are approaches that can help people manage symptoms of anxiety and depression.
However, not all advice was equally reliable.
Recommendations became less consistent when users discussed complicated personal relationships, ways to manage symptoms without professional help, or mental health crises.
Online communities can offer something valuable: a place where people feel heard and supported by others with similar experiences.
For someone who feels isolated or is uncomfortable seeking professional care, these conversations may be an important first step.
Still, popular advice is not always accurate, and people facing serious mental health concerns may need professional support.
Online communities may help people find support, especially when traditional mental health services are difficult to access. But these platforms also need clear safety guidelines, reliable information, and ways to connect users with crisis services when necessary.
Can AI Help Medical Students Become Better Doctors?
Artificial intelligence is becoming more common in medical education.
One possible use is allowing students to practice conversations with AI patients before treating real people.
Researchers followed 50 medical students in a randomized trial lasting one year. Some students practiced with an AI patient simulator, while others followed the usual training approach.
Students using the AI tool showed a larger average improvement in communication skills than students in the comparison group.
However, the difference was not statistically significant. That means the researchers could not confidently conclude that AI training produced better results.
The simulator was useful for practicing basic conversations, but it had limitations.
Real patients may be frightened, confused, angry, or struggling to explain their symptoms. These emotional and unpredictable situations are difficult for AI to reproduce.
Learning how to respond to them is an essential part of becoming a good health professional.
Why it matters: AI could give medical students more chances to practice communication skills. However, simulated conversations should support traditional training, not replace real interactions with patients and experienced instructors.
An AI Chatbot Did Not Improve Maternal Mental Health
Another study explored whether AI could improve health outcomes during pregnancy and after childbirth.
Some participants received access to an AI-powered maternal health chatbot.
The hope was that easier access to information and support would improve mental health and other health outcomes.
But after 12 months, researchers found no significant improvement in anxiety or depression among participants given access to the chatbot.
The tool also did not significantly improve emergency department visits, postpartum care, contraception use, or sleep duration.
These findings do not mean AI chatbots are never useful.
They may still help people find information, understand health concerns, or prepare questions for their doctors.
However, providing information does not automatically solve the problems that affect a person’s health.
Someone struggling with depression after childbirth may need counseling, social support, affordable medical care, or help with housing and childcare. A chatbot cannot provide all of those resources.
Public health organizations should test AI tools carefully before investing heavily in them. The most important question is not whether a tool uses advanced technology, but whether it actually improves people’s health.
The Bigger Picture: Better Health Requires Better Systems
These studies examine very different health issues, but they point toward a similar conclusion.
Medical advances only help when people can access them.
A new cancer treatment offers little benefit if rural patients cannot receive the testing needed to identify it. Better pregnancy care cannot reach everyone if insurance, income, and provider shortages create barriers. And an AI chatbot cannot replace the human relationships and services people need during difficult times.
Technology can help health professionals work more effectively, connect people with information, and expand access to certain services.
But technology alone cannot solve every problem.
The future of public health depends not only on what we discover or invent, but also on whether we build systems that make those advances available to everyone.
That means investing in health workers, improving access to care, strengthening community support, and making sure new tools are tested for real-world benefits.
The goal should not simply be more innovation. It should be better health for more people.
Build Your Public Health Issue
Tell us a little about your work, and we’ll build a personalized issue with five things worth knowing.
