Delayed Healthcare-Seeking Behaviors and Associated Factors among Young Workers in New Forms of Employment: A Cross-Sectional Survey from China

In the modern world, a vast number of people earn their living through digital apps. They deliver food, drive passengers, or manage instant errands, all coordinated by algorithms that assign tasks and track performance. This new way of working offers flexibility, but it also creates a unique kind of pressure. Unlike traditional employees who might have paid sick leave or a steady salary, these workers often face a difficult choice: stop working to see a doctor and lose immediate income, or keep working while feeling unwell. This dilemma is at the heart of a growing public health concern. Researchers have long used a framework called the Behavioral Model of Health Services Use to understand why people do or do not seek medical help. This model suggests that three main things drive these decisions: who a person is and what they believe (predisposing factors), what resources they have available to get care (enabling factors), and how sick they actually feel (need factors). While this model has been applied to many groups, from the elderly to rural residents, it has rarely been tested on the young, digital workforce. Understanding how these workers navigate their health is crucial, not just for their individual well-being, but for the fairness and efficiency of the entire healthcare system.

A team of researchers from Chengdu University of Technology set out to investigate this specific group. Between March and May 2026, they surveyed 507 young workers in China, aged 18 to 45, who were working full-time or part-time in roles like food delivery, ride-hailing, and courier services. The researchers asked these workers a simple but revealing question: in the past year, had they ever felt they needed to go to a hospital but did not go? They also gathered detailed information about the workers' lives, including their gender, income, education, and how much they trusted or felt supported by their digital platforms. The goal was to see which factors truly stopped these workers from getting the medical care they needed. The results painted a clear picture of a workforce where the environment of the job matters more than traditional safety nets.

The study found that nearly 40 percent of the workers surveyed had delayed or completely skipped medical visits when they needed them. When the researchers looked closely at the data, they discovered that the usual suspects often blamed for this problem—such as a lack of health insurance or low income—were not the main drivers in this specific group. Surprisingly, having medical insurance did not independently protect a worker from delaying care once other factors were taken into account. Similarly, a worker's income level or age did not show a strong, independent link to whether they sought help. Instead, the most powerful factor was the support the workers felt they received from the platform itself. Workers who believed their platform offered helpful services, such as easy access to health resources or flexible scheduling for medical appointments, were significantly less likely to delay care. In fact, for every step up in how much support a worker perceived, their risk of delaying treatment dropped by about one-third.

The study also highlighted how gender and the nature of the illness influenced these decisions. Female workers faced a higher risk of delaying care compared to their male counterparts. Furthermore, the severity of physical symptoms played a direct role; the worse a worker felt physically, the more likely they were to eventually seek help, though the delay often occurred first. Interestingly, while mental stress was a concern for many, it did not independently predict whether a worker would skip a doctor's visit in the same way physical pain did. Perhaps most telling was the finding that a worker's own belief that they should wait or postpone care was a strong predictor of actually doing so. If a worker thought, "I can wait," they were far more likely to follow through on that thought, regardless of their insurance status.

These findings suggest that the barriers to healthcare for digital platform workers are not just about money or insurance coverage, but about the structure of the work itself. The research indicates that the "opportunity cost" of stopping work to get better is a heavy burden that insurance alone cannot lift. When a worker stops to see a doctor, they lose the chance to accept new orders and earn money immediately. This creates a situation where staying sick is a rational, albeit harmful, economic choice. The study concludes that to improve health outcomes for this growing workforce, policies need to go beyond simply expanding insurance coverage. Instead, the focus must shift to how platforms organize work. By building supportive systems that make it easier and less costly for workers to take time off for health reasons, the gap between needing care and getting it can be narrowed. The research offers a clear path forward: optimizing the environment of the job is just as important as protecting the wallet of the worker.