The impact of perceptual bias on the utilization of home- and community-based services among older adults in China

In China, the vast majority of older adults choose to grow old in their own homes, a preference that has shaped national policy for decades. To support this choice, the government has built a massive network of home- and community-based services, ranging from medical checkups and meal delivery to help with daily chores and care for those with disabilities. The goal is simple: to ensure that as people age, they can receive the support they need without leaving their communities. However, a troubling gap has emerged. Despite the rapid construction of these services and the availability of thousands of care facilities, many older adults are not using them. Resources sit idle while needs go unmet, leaving researchers to wonder why the system is failing to reach the people it was designed to help.

The answer may not lie in a lack of supply or a lack of need, but in a gap of understanding. This study explores a concept known as perceptual bias, which occurs when people's understanding of what is available does not match reality. Imagine a library where a book is sitting on a shelf, but a reader walks past it because they are convinced the library does not carry that genre. The book exists, the reader needs it, but the connection is broken because the reader's perception is out of sync with the facts. In the context of elder care, this means that even when a community offers a specific service, an older adult might not know it exists, or might believe it is not for people like them. This study investigates how this mental disconnect influences whether older adults actually use the services available to them.

To uncover the mechanics of this disconnect, researchers conducted a large-scale survey across three provinces in China, representing the east, central, and west of the country. They visited 28 different communities, both urban and rural, and interviewed 943 older adults aged 60 and above. The team did not just ask if people were using services; they first verified what services actually existed in each community. They then compared this objective reality with what the older adults believed was available. By mapping the difference between what was there and what was known, the researchers could measure the extent of perceptual bias. They analyzed four main types of services: healthcare, family-substitute services (like meal delivery or help with chores), disability care, and personal assistance services such as recreational activities.

The findings revealed that perceptual bias is a powerful force shaping who gets help and who does not. The study found that bias was not random; it was heavily influenced by where a person lived, their age, their health, and their background. For instance, older adults living in rural areas were much more likely to be unaware of healthcare services than their urban counterparts, even when those services were present. Similarly, those who were less familiar with their local community or lived further away from care facilities were more prone to these misunderstandings. When the researchers adjusted their analysis to account for this bias, the picture of what drives service use changed dramatically. Factors that usually seem important, such as a person's income or family support, often only mattered because they influenced whether the person knew the service existed in the first place.

The impact of this bias varied significantly depending on the type of service. For healthcare, the study found that perceptual bias acted as a barrier, particularly for rural residents. Even when free or low-cost checkups were available, many rural older adults did not use them because they were unaware of their existence or accessibility. This meant that the people who needed these services the most were often the ones missing out. In the case of family-substitute services, which are designed to help those without family support, the bias had a different, more ironic effect. Because information about these services was often unclear, they were frequently used by older adults who actually had family support, while those truly in need remained unaware. This misdirection meant that limited resources were being consumed by the wrong groups, leaving the most vulnerable without help.

The situation was most severe regarding disability care. The study showed that a staggering 86% of older adults were unaware that their community offered disability care services. This lack of awareness was so widespread that it effectively hid the services from the very people who needed them. The researchers noted that this was partly because the need for such care often arises suddenly when an older adult becomes disabled, and by that time, families are scrambling to find help. However, because the services were not well-known beforehand, the search for help was delayed. Furthermore, the study highlighted that many communities, especially in rural areas, were focusing their limited resources on low-cost personal assistance services, such as social clubs or chess rooms. While these were easy to provide and well-known, they did not address the critical medical or daily living needs of the most vulnerable residents.

The researchers concluded that the low utilization of these vital services is not simply a matter of older adults choosing not to participate. Instead, it is a systemic failure of information. The gap between what is provided and what is perceived creates a selection bias that skews the data and hides the true needs of the population. When older adults do not know a service exists, they cannot use it, and when they do not use it, policymakers might mistakenly believe the service is unnecessary. The study suggests that to fix this, communities must move beyond simply building facilities. They need to actively reach out to the most disadvantaged groups, ensuring that information about healthcare and disability care reaches those who are isolated or living in remote areas. By correcting these perceptual gaps, the system can ensure that resources flow to the people who need them most, rather than getting lost in the space between supply and awareness.