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Influence of AI Chatbot Use on Healthcare-Seeking Behavior among Outpatient Clinic Visitors of Two Healthcare Institutions in Northern Cyprus: A Cross-Sectional Study

This cross-sectional study of 2,825 outpatient visitors in Northern Cyprus reveals that while AI chatbots are widely used for health information, particularly by younger individuals, their impact on healthcare-seeking behavior is mixed due to low trust levels and concerns about potential delays in seeking professional medical care.

Original authors: Ozen Asut, Sanda Cali, Adanze Nge Cynthia, Roya Abdallah Omar Awad, Habibu Shitu Muhammad, Abdulkarim Suleiman Usman, Husain Amir Umar Husain

Published 2026-07-25
📖 6 min read🧠 Deep dive

Original authors: Ozen Asut, Sanda Cali, Adanze Nge Cynthia, Roya Abdallah Omar Awad, Habibu Shitu Muhammad, Abdulkarim Suleiman Usman, Husain Amir Umar Husain

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

Imagine the internet as a giant, bustling library where you can find answers to almost anything. For a long time, if you wanted to know about a headache or a rash, you'd have to hunt through thousands of books or search engines, piecing together clues like a detective. But recently, a new kind of librarian has arrived: the AI chatbot. Think of it as a super-smart, instant conversational partner that doesn't just hand you a book; it talks to you, asks follow-up questions, and tries to give you a direct answer right away. It's like having a knowledgeable friend who is always awake, ready to chat about your health, but one who might not always know the difference between a common cold and something serious.

This is where things get tricky. We all want to feel better, and we all want answers fast. But what happens when this digital friend gives you advice that is slightly off? Does it make you run to the doctor immediately, or does it convince you that you're fine when you're not? This question sits at the intersection of technology and human behavior. It's not just about whether the computer is smart; it's about whether we trust it enough to change our plans. If a robot tells you to wait, will you? If it tells you to go, will you listen? Understanding this dance between human worry and digital advice is crucial because it decides whether technology helps us heal or accidentally keeps us from getting the help we need.


The Digital Health Detective Story

A team of researchers in Northern Cyprus decided to play detective with a very large group of people to see how this new "AI librarian" is changing the way we handle our health. They set up shop at two busy medical centers—one a local health center and the other a university hospital—and asked 2,825 people (mostly patients and their friends or family members) a bunch of questions. They wanted to know: Are people using these AI chatbots? Do they trust the answers? And most importantly, does talking to a robot make people run to the doctor faster, or do they get stuck waiting?

The Big Reveal: Everyone is Talking to the Robot

The results were surprising. It turns out that AI chatbots are already a huge part of people's lives. A massive 73.7% of the people they asked had already used an AI to ask a health question. That's nearly three out of every four people! They weren't just asking silly questions, either. Half of them (50.8%) used it to learn about specific diseases, and almost half (45.6%) used it to check if their symptoms matched a certain illness. It's like everyone is carrying a medical encyclopedia in their pocket, and they're using it before they even think about calling a real doctor.

The "Trust Gap": Using It, But Not Believing It

Here is the twist in the story: even though everyone is using the AI, they don't really trust it. Only 31.9% of the users said they trusted the answers the AI gave them. Almost half (47.5%) were just "not sure." It's a bit like using a weather app that has a 50/50 chance of being right; you check it because it's convenient, but you still look out the window to see if it's actually raining. The researchers found that while 54.5% of users thought the answers were helpful, a huge chunk of people (83.0%) believed that online health information is full of mistakes and lies. They are using the tool, but they are keeping one eye open, suspicious that the robot might be hallucinating or making things up.

The Double-Edged Sword: Running Faster or Slower?

So, does this digital chatbot make people go to the doctor sooner or later? The answer is... it depends. The AI acted like a double-edged sword. On one side, for 43.2% of the people, the AI actually encouraged them to go see a doctor. The robot said, "Hey, that sounds serious, go get checked!" On the other side, for 22.5% of the people, the AI made them wait. The robot might have said, "It's probably just a bug," and those people decided to stay home. This means the AI isn't just a passive tool; it's actively changing the timeline of when people seek help, sometimes speeding them up and sometimes slowing them down.

Who Likes the Robot? (And Who Doesn't)

The study also looked at who is most likely to embrace this technology. It turns out that age and background matter a lot. Younger people, those with more education, and people with higher incomes were much more likely to have a positive attitude toward AI. The older crowd (those 39 years and older) and people with less education were more likely to be skeptical or even negative.

When the researchers ran the numbers to predict who would be willing to use AI in the future, two things stood out: being younger and being from Turkey (as opposed to the local Northern Cyprus area) made people much more likely to say, "Yes, I'll use it again!" Older people, however, were significantly less likely to want to rely on the robot for their health in the future.

The Verdict

The story this paper tells is one of cautious curiosity. AI chatbots are everywhere, and people are using them heavily to figure out what's wrong with them. But they aren't blindly following the robot's orders. Most people are sitting on the fence, with 68.7% having a "neutral" attitude—they aren't loving it, but they aren't hating it either. They are using the tool as a first step, a way to get a quick opinion, but they haven't forgotten that a real doctor is still the boss.

The researchers suggest that while AI is a powerful helper, it's not a perfect one yet. Because trust is low and there's a real risk that the robot might tell someone to wait when they should run, we need to be careful. The paper concludes that we need to teach people how to use these digital tools better (digital health literacy) and make sure the rules around them are strict, so that when we ask the robot for advice, we know exactly how much weight to put on its words. Until then, the robot is a helpful sidekick, but it's definitely not the hero of the story.

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