Patient Delay and Its Associated Factors Among Older Adults with Pulmonary Tuberculosis in Xi'an, China, 2016–2025: A Retrospective Analysis of Repeated Cross-Sectional Surveillance Data
This retrospective analysis of 12,573 older adults with pulmonary tuberculosis in Xi'an (2016–2025) reveals a high prevalence of patient delay (48.07%) driven primarily by structural healthcare barriers such as passive case-finding, lower-tier facility consultations, and bacteriologically negative results, underscoring the urgent need for integrated active screening and strengthened primary care to improve timely diagnosis.
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
Tuberculosis is an ancient disease that still claims millions of lives today, spreading through the air when an infected person coughs or speaks. For the disease to be stopped, a person must be diagnosed and treated quickly. The moment a person feels sick and the moment they walk into a doctor's office is a critical window. If that gap is too long, the person remains infectious, passing the bacteria to family and neighbors, and their own health may deteriorate. This waiting period, known as patient delay, is not just a matter of personal choice; it is often shaped by how easy or hard it is to find a doctor, how well the local health system works, and how the disease hides in different groups of people. Older adults are particularly vulnerable because their symptoms can be vague or mistaken for normal aging, and they may face physical or logistical hurdles in reaching care. Understanding why this delay happens, and how it changes over time, is essential for building a health system that protects the most at-risk populations.
In the bustling city of Xi'an, China, researchers set out to map this delay over a decade, from 2016 to 2025. They looked at the records of more than 12,000 older adults, all aged sixty or above, who were diagnosed with pulmonary tuberculosis, a form of the disease that affects the lungs. The team defined a delay as waiting more than two weeks after symptoms first appeared before seeking medical help. By examining a full ten years of data, they could see not just who waited, but how the waiting times shifted as the city moved through routine years, a global pandemic, and the recovery that followed. The study revealed that nearly half of these older patients waited too long to get care, with the median wait time sitting right at the two-week mark. This means that for a vast number of people, the disease had already been spreading in their communities for weeks before a doctor was ever consulted.
The researchers found that the length of this wait was not random; it rose and fell with the tides of public health events. Before the pandemic, the delay rates were slowly improving, but when the world faced the COVID-19 crisis, the situation worsened. In 2021, at the height of the pandemic, the percentage of older adults waiting more than two weeks jumped to its highest point, affecting over half of the patients. This spike was likely caused by a combination of factors: people were afraid to leave their homes, hospitals were overwhelmed with other patients, and the symptoms of tuberculosis were sometimes confused with those of the new virus. However, the data also showed resilience. As the city moved past the worst of the pandemic, the delay rates began to drop again, reaching their lowest point in the entire decade by 2025. This suggests that the local health system eventually adapted and recovered, allowing patients to access care more quickly once the immediate crisis passed.
When the scientists dug deeper to understand what specifically caused the delay, they discovered that the problem was not about who the patients were, but how they found their way into the medical system. The study showed that a person's age, gender, or job did not significantly change how long they waited. Instead, the biggest drivers were structural. Patients who were found through active screening—where doctors proactively check for the disease during routine health checks—were the least likely to delay. In contrast, those who had to wait for a referral from another hospital or who had to go to the doctor on their own initiative waited much longer. The data indicated that patients who first visited smaller, local hospitals at the district or county level waited longer than those who went directly to larger, specialized provincial hospitals. This points to a gap in the local health network, where smaller clinics may lack the tools or training to quickly identify the disease in older people.
Another surprising finding was that patients who already had other chronic health problems, such as high blood pressure or diabetes, actually waited less time to get diagnosed. The researchers believe this is because these patients are already in regular contact with doctors for their other conditions, creating a natural opportunity to catch tuberculosis early. Conversely, those who tested negative for the bacteria in their sputum waited longer, likely because their symptoms were milder and less urgent to them. The study also highlighted a specific policy gap: while routine health screenings for older adults in Xi'an officially start at age sixty-five, the most vulnerable group for tuberculosis includes people aged sixty to sixty-four. This younger group of seniors is left out of the active screening net, forcing them to rely on passive detection, which is slower and less effective.
The authors conclude that the long delays seen in Xi'an are not simply a result of older people being stubborn or unaware. Instead, the delays are driven by the way the health system is organized. To fix this, the researchers suggest closing the age gap in screening policies to include those aged sixty to sixty-four, integrating tuberculosis checks into the routine care for people with chronic diseases, and strengthening the diagnostic abilities of local clinics. By making these structural changes, the city can ensure that when an older adult feels unwell, the path to a cure is short, clear, and free of unnecessary obstacles. The decade of data serves as a clear map, showing that while the system can be disrupted by global emergencies, it is also capable of recovery and improvement if the right doors are opened.
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