A Better Map of Resistance: Five Ways Digital Care Can Fail to Feel Right
For older adults navigating digital primary care, the important question is not only whether a portal or video service is easy to use. It is what kind of resistance a barrier represents—and therefore what kind of response it calls for. This chapter develops that distinction through five lenses: usage, value, risk, tradition, and image. The result is a way to interpret nonuse without reducing it to low skill, while keeping each concern tied to a real primary-care encounter.
The question adoption models leave open
Most familiar technology models begin with adoption. The Technology Acceptance Model asks how useful and easy to use a technology seems. The Unified Theory of Acceptance and Use of Technology adds ideas such as expected performance and social influence. These models are useful when the question is why people intend to try a system or continue using it. A confusing portal, for example, is less likely to be accepted; a service that clearly saves time may be more attractive.
But older adults’ digital-health nonuse often persists after the question of usefulness has been answered in the abstract. A person may agree that online appointments could save a journey and still refuse a video consultation for a serious problem. They may own a smartphone and still ask a family member to handle a portal. They may use messaging in daily life but insist on speaking to a clinician face-to-face. “Would this technology be useful?” does not fully explain “What makes this encounter unacceptable or too risky for me?”
Innovation resistance theory, or IRT, starts with that second question. It focuses on why people hesitate, postpone, reject, or actively avoid a new service even when it offers potential benefits. In this framework, resistance has a cognitive side—how a person appraises the change and its consequences—an affective side, such as fear, frustration, or anxiety—and a behavioral side, ranging from passive disengagement to active refusal. The three sides can reinforce one another: a person judges a digital encounter risky, feels uneasy about making an error, and then avoids the channel.
Resistance is not therefore just a low level of adoption intention. It can be a decision with its own logic. That matters ethically as well as analytically. If nonuse is treated only as a deficit, the burden of change falls on the older adult. If it is treated as a response to the service and the care context, designers and clinicians must also ask what the system is demanding, what it makes uncertain, and what it appears to replace.
Five lenses on one digital-care encounter
IRT groups barriers into two families. Functional barriers arise from the practical attributes of the innovation: the work required to use it, the value it appears to provide, and the risks attached to it. Psychological barriers arise when the innovation conflicts with established routines or with the user’s sense of what the service represents. The five domains are distinct enough to guide questions, but they are not sealed compartments.
A single experience can cross several interfaces. Someone may encounter a difficult login, conclude that the service is not worth the trouble, worry that a symptom will be misunderstood, and return to a familiar phone call. Classifying the experience is not about assigning a permanent label to a person. It is about locating the part of the service relationship that is failing.
1. Usage: can the person complete the encounter?
A usage barrier concerns the work of using digital care. It can involve a steep learning curve, unclear navigation, repetitive authentication, small text, poor audio, an insensitive touchscreen, or terminology that is difficult to interpret. In a primary-care interaction, it can also involve a more subtle task: articulating several symptoms through a form or video conversation when the person is accustomed to explaining them in a room with a clinician.
This domain is broader than “digital literacy.” Literacy usually suggests a capability that the individual possesses to a greater or lesser degree. A usage lens also examines the design of the service. Does the person need to remember a password, upload a document, find the correct menu, and understand a medical phrase before they can ask for help? Does a visual, hearing, memory, or fine-motor difficulty turn an ordinary step into a barrier? The same user may be capable of one digital task and unable to complete another because the demands differ.
Usage barriers can change how the clinical encounter is experienced. If a person cannot find where to write a concern, they may omit it. If the platform’s language is unfamiliar, they may misunderstand an instruction or hesitate to ask for clarification. A system can be technically operational while still making the health task cognitively expensive. The practical question is not whether every feature works in isolation, but whether the person can complete the care-relevant sequence without disproportionate effort or fear of error.
2. Value: is the exchange worth changing care routines?
A value barrier concerns the balance the user perceives between benefit and cost. Older adults in the reviewed studies often saw a place for telemedicine in minor problems or routine follow-up but not as a replacement for care that requires examination, several concerns to be discussed, or long-term management. Some regarded digital tools as unnecessary when the existing system already met their expectations. Others saw them as adding complexity without adding enough clinical or relational value.
This is not simply a failure to understand a product’s features. It is a judgment about the service being offered. A digital consultation may save travel, but a person may also value the reassurance of being examined or the continuity of a known clinician. A portal may offer faster prescription requests, but the benefit may seem small if the process requires learning a new system and the person is unsure whether anyone will read the message. When perceived benefit does not outweigh effort, cost, uncertainty, or loss of familiar care, resistance is intelligible even if the service is objectively convenient for someone else.
Value also depends on the problem being addressed. A system designed around administrative speed may be useful for scheduling but appear inadequate for a complex health concern. Treating “digital care” as one uniform product hides this variation. A person can value one function and reject another. The relevant question is therefore: value for which task, under which expectations, and compared with which existing route?
3. Risk: what could go wrong with health information or judgment?
Risk barriers concern the consequences of using the service. Older adults may worry that the absence of physical examination or nonverbal cues will make diagnosis less reliable, that a clinician will miss important information, or that a technical failure will interrupt communication. They may fear entering a result incorrectly, submitting incomplete information, or not knowing whether a message was received. Privacy, data security, and scams add concerns about who can access personal health information and how it may be used.
These are perceived risks, not measurements of the actual risk of every digital modality. The review does not show that digital care always causes more errors or that a digital channel is inherently unsafe. It shows that uncertainty about diagnosis, data, and user error can shape behavior. A person who avoids a video visit because they fear a serious symptom will be missed is making a different judgment from someone who simply finds the camera inconvenient.
Risk is also connected to autonomy. Some older adults worry that electronic records or automated systems could shift control away from them, especially if they are unfamiliar with how information is recorded or how a digital discussion affects later care. If a system gives no clear way to correct an error, reach a person, or move to a more appropriate channel, the perceived consequences become larger. Trust cannot be created by telling users that a system is safe; the service has to make its safeguards and recovery routes understandable.
4. Tradition: what kind of care feels familiar and proper?
A tradition barrier reflects established routines, cultural expectations, and a preference for familiar ways of receiving care. In the primary-care evidence, the most recurring expression was a preference for face-to-face interaction. Older adults described direct conversation, physical examination, nonverbal communication, printed documentation, and continuity with known professionals as important parts of care.
Tradition is not the same as resistance to every change. People may accept a new tool when it fits an existing relationship or solves a problem they recognize. But a service that asks them to replace a trusted routine can face a higher threshold. Someone who has always arranged appointments by phone may not see a reason to move that relationship into a portal. Someone managing several conditions may not want the whole interaction transferred to a digital channel, especially when the problem is too complex to explain without an in-person conversation.
This domain makes the relational character of primary care visible. The object being changed is not only a method of communication; it may be the pattern through which a person receives reassurance, explains uncertainty, and recognizes responsibility. A design that preserves the appearance of a technical option while removing the familiar relationship may be experienced as a loss, even when the underlying information exchange is similar.
5. Image: what does digital care signify?
An image barrier concerns the associations attached to the innovation. Older adults in the reviewed studies sometimes perceived digital health as less legitimate, less personal, less authoritative, or designed for younger and more digitally confident people. The review describes this as a legitimacy gap and a generational digital divide. The issue is not only whether a person can perform a task, but whether the task feels like a valid way to receive care and whether the system seems to include someone like them.
Image can overlap with tradition but is not identical to it. Tradition asks, “Why should I change a familiar care routine?” Image asks, “What kind of service is this, and what does using it say about my place in the system?” A person may be willing to change a routine but still distrust a platform that appears bureaucratic or impersonal. Another person may have adequate skills yet feel that the service was designed without older users in mind. These perceptions can produce a sense of powerlessness before any technical failure occurs.
The distinction matters because a more efficient interface cannot, by itself, establish legitimacy. A named clinician, visible continuity with prior care, clear explanations, and a credible route to human help may matter as much as the number of buttons on a screen. Even these measures should not be assumed to work universally; they are responses to mechanisms suggested by the evidence, not a validated package.
Why the five domains must overlap
The five domains provide a better map precisely because they do not describe five independent types of person. Consider an older adult who receives an invitation to a video consultation. The login is difficult, which creates a usage barrier. The person already doubts that a video visit can assess a chronic condition, which creates a value barrier. The absence of physical examination raises risk concerns. A preference for the known clinician’s office reflects tradition, while the impression that the service is designed for younger users reflects image. The eventual decision not to use video is the combined result, not a single category.
The same map prevents an opposite mistake: assuming that every concern is secretly a design flaw. A simple interface can reduce usage friction while leaving the value question unanswered. A clear privacy notice can reduce uncertainty while leaving the preference for direct examination intact. A person can make a deliberate channel choice even when the service is well designed. The purpose of IRT is not to force all resistance into a solvable technical problem; it is to show which parts of the judgment belong to usability, benefit, consequence, routine, or legitimacy.
The review uses IRT as a framework for organizing evidence, and its application to older adults’ digital health extends the original categories with themes such as technology anxiety, misuse concerns, legitimacy gaps, and generational divides. It does not establish that IRT replaces adoption models, and it does not validate a finished measurement scale for every digital-health service. The domains are therefore a disciplined set of questions, not a diagnostic test or a ranking of which barrier matters most.
That distinction sets up the next problem. If usage, value, risk, tradition, and image can appear in the same encounter, they may also influence one another over time. A difficult interface can lower confidence; lower confidence can make risk feel greater; avoidance can prevent learning; and repeated avoidance can make digital care seem even less legitimate. Understanding that movement—from separate barriers to a reinforcing process—is the next step in explaining why older adults’ digital-health exclusion can persist after a device is available.