In today’s life sciences and health care landscape, trust is a measurable driver of consumer behavior, loyalty, and long-term value. Deloitte research shows that trust is a key reason why consumers adopt new services and stay engaged.
In Deloitte modeling of more than 42,500 consumer responses across more than 100 life sciences and health care organizations, including health systems, health plans, biopharma companies, and medtech firms, trust emerged as the factor most strongly correlated with perceived value (see methodology). On average, trust explains 52% of perceived value across the life sciences and health care sectors studied. Its influence varies by sector, accounting for 83% of perceived value for health plans, 61% for biopharma, 50% for health systems, and 51% for medtech firms. In other words, within these sectors, trusted organizations are also more likely to be seen as delivering value.
That relationship is stronger in some sectors than in others, suggesting that consumers may trust certain parts of an experience without assigning the same level of value to the organization overall. When we examined trust alongside other measures, we found that organizations offering similar levels of accessibility and pricing may be experienced very differently depending on whether consumers trust them. The implications are operational: Trust is something leaders should actively measure, design for, and manage across the consumer experience. This is important as stakeholders increasingly invest in virtual-first care, digital tools, home-based services, specialty therapies, and preventive services.1
To help organizations operationalize and measure trust in products and services, Deloitte’s analysis identified four core drivers that consistently influence how consumers evaluate their experience: humanity, transparency, capability, and reliability.2 These factors reflect practical signals that consumers look for in health interactions and provide actionable starting points for leaders across the health ecosystem looking to build trust at scale.
These factors shape consumer experiences across the journey, from choosing coverage, to accessing and using care, to resolving issues. They also reinforce one another: A breakdown or improvement in one area can quickly affect the entire experience.
Trust doesn’t just shape perceptions; it drives behavior. Additional Deloitte analysis of more than 37,000 consumer responses shows that when trust is high, consumers are more than twice as likely to try new products and services (see methodology). Organizations with higher trust scores also see 2.5 times greater consumer loyalty than their lower-trust peers.7
Sustained consumer engagement, which is key to the success of these models, is influenced by trust. And in moments of friction and fragmentation, such as sharing data, complying with care, or navigating coverage rules, trust becomes a deciding factor in whether consumers follow through.8
Trust may also determine whether growth strategies achieve their full potential. In Deloitte’s nationally representative 2025 US Health Care Consumer Survey, nearly 1 in 3 respondents said they would pay more for services that offer easier access to specialists or advanced medicines and technologies that improve outcomes or convenience. But that willingness hinges on adoption and adherence, both of which can be closely tied to trust.
As health care stakeholders move toward long-term value strategies,9 like reducing avoidable health events through preventive care, trust can become foundational enabler. Deloitte actuarial analysis estimates that disease-prevention investments could reduce US medical and drug spending by US$2.2 trillion annually.10 Organizations that treat trust as an operational capability, not just a reputational asset, may be well positioned to realize that potential by deepening consumer loyalty and fueling long-term growth.
Deloitte’s analysis of 25 life sciences and health care organizations from May 2024 to January 2026 highlights an uneven performance across the four trust factors. Relative to other industries, health care organizations lead on humanity and transparency, score lower on capability, and perform slightly above average on reliability (figure 1). Life sciences organizations, meanwhile, tend to perform well on capability and are narrowing the gap on reliability, but score lower on transparency and humanity (figure 2).
These trust gaps are emerging at a moment of heightened competition and increasing consumer choice. As new market entrants disrupt traditional care models and access options expand, consumers now have more choices and less tolerance for friction, delays, or disjointed experiences.11 For organizations that underperform on trust, this could signal a structural barrier to growth and resilience.
Channel disruption appears to be raising the bar for trust. Consumers now have more ways to access care and products, and they’re increasingly willing to bypass traditional pathways when alternatives are simpler and more dependable.12 The rise of direct-to-consumer (DTC) models, where patients access health services, products, or support directly from a company often without going through a physician, signals this shift.13 According to Deloitte’s nationally representative 2025 US Health Care Consumer Survey, 23% of respondents have used a DTC health offering (see methodology). Among those users, 52% sought prescription drug access, 30% used mental health services, 29% engaged in weight management programs (including GLP‑1s), and 30% used other wellness services like nutrition counseling or doula care.
Trust tends to evolve alongside consumer expectations and lived experiences. For younger generations, trust appears to be increasingly shaped by speed, clarity, and control of services. Deloitte’s 2025 US Health Care Consumer Survey reveals that Gen Z and millennials are more likely to engage with DTC health offerings: In fact, 39% of Gen Z and 34% of millennials have used DTC services, compared with just 19% of Gen X and 7% of baby boomers.14
This generational gap may reflect more than preference; it could signal a response to unmet needs. Nearly 1 in 5 Gen Z respondents report missing or avoiding care in the 12 months before the survey because of long wait times (23%) or limited availability outside traditional hours (19%). In contrast, only 7% and 2% of baby boomers cite those reasons, respectively. Given lifestyle differences, DTC options may appeal to younger consumers by offering faster access, extended hours, and simpler digital interactions that deliver on trust dimensions like transparency, reliability, and capability.
Some surveyed consumers also show greater willingness to pay for convenience. Nearly 4 in 10 Gen Z and millennial respondents say they would pay more for easier access to specialists or advanced technologies, compared with just 2 in 10 baby boomer respondents. As organizations plan for the next generation’s loyalty, they should consider designing trust intentionally with a focus on the lived realities and preferences of different population groups.
In a digital-first health ecosystem, trust tends to be formed and lost in real time. Every digital interaction can shape a simple judgment: Do I understand what’s happening, and can I rely on it? Around one-third of adults now use AI for health information advice.15 As AI and digital tools play a larger role in care delivery, coverage decisions, product support, and treatment pathways,16 uncertainty can become a potential trust breaker.
Trust often falters at the data level, especially in generative AI interactions, where consumers might need to decide whether to share, consent, proceed, or opt out. Consumers tend to expect clear, plain-language explanations of how their data is used, what privacy and security measures are in place, and when AI is involved in decision-making. Transparency can reduce uncertainty by providing the right information, at the right time, in understandable terms.
Capability and reliability also matter. Digital front doors, such as websites, apps, and portals used to access care, coverage, or medication, can create confusion when they’re fragmented or disconnected. Trust can break down when virtual handoffs and follow-ups fail, or when experiences vary across channels. A person living with Type 1 diabetes, for example, may interpret inconsistent glucometer readings not just as a technical glitch, but as a failure in reliability. In this case, reliability correlates with the patient’s health security and capability with clinical confidence.
Finally, trust in AI can depend on inclusion, an important element of the humanity factor. Consumers increasingly expect digital tools to work fairly across various populations and lived realities. When systems feel opaque, biased, or detached from individual needs, humanity can break down and trust can erode.17
In a digital world, trust is not a brand promise or a communications exercise. It is an operational outcome, built through transparency about data and AI, capable and integrated digital experiences, inclusive design, and reliable performance.
With industry investments in virtual-first care, digital tools, home-based services, specialty therapies, preventive services, and other strategic priorities,18 trust can be a lever for adoption, growth, and value for stakeholders across the health ecosystem. Approaches to coverage, therapies, devices, and services span multiple players, including clinicians, health systems, health plans, regulators, pharmacies, digital platforms, and more. Trust is often shaped by how well these players work together to deliver seamless, reliable, and easy-to-understand care that consumers can adopt and sustain over time.
Consumers can feel the effects of trust through both the quality of individual experiences (how humane, transparent, capable, and reliable they are) and the degree to which organizations coordinate seamlessly with each other within the health ecosystem. When those connections break down such as when roles are unclear, data is inconsistent, processes are broken, workflows are fragmented, or service quality varies, trust can erode, even if one part of the experience is strong. This can lead to confusion, repeated paperwork, delays in care, and a sense that the system isn’t working. Building trust in this landscape involves addressing both sector-specific improvements and cross-organizational coordination.
In other industries, consumers may build trust through direct interactions with a single brand. In life sciences and health care, trust can vary across a series of moments as consumers choose, access, use, and resolve care (figure 3). These stages help identify the moments that matter to consumers and highlight handoffs (like eligibility checks, prior authorization, or service recovery) that can create friction if poorly managed. This creates several opportunities to embed trust in the strategic actions that stakeholders may already be prioritizing:
In a consumer-directed market, trust is emerging as an important lever for growth because it tends to accelerate adoption, enable selective pricing, and reduce operational friction which can potentially lead to better outcomes at lower costs. At the same time, rising consumer expectations and easier switching between providers can raise the stakes.19 As organizations consider where to invest next, they should take a broad view, looking across both brand and ecosystem performance. The organizations that lead will likely focus less on trust as sentiment and start treating it as an operating system for value creation: measurable, intentionally designed, and actively managed to turn intentions into repeatable outcomes.
This analysis draws on multiple data sources to assess how trust shapes consumer value and behavior across the life sciences and health care industries.
Findings are based on 42,587 data points across 111 life sciences and health care organizations, collected over a 12-month trailing period ending March 2026. The data set is structured at the organization level, with each observation representing an aggregated net positive sentiment score derived from multiple underlying consumer responses within a given organization.
We used univariate and correlation analyses to assess individual relationships between trust, value, and other experience drivers (price, availability, timeliness, satisfaction, and ease of use), and multivariate models to estimate their relative contributions. We accounted for overlap across drivers, prioritizing drivers with sufficient cross-brand coverage.
Data from Deloitte’s proprietary TrustID is used to examine the four factors of trust and explore industry trends over time. The approach was initially developed, tested, and scaled across 500 organizations and nearly 400,000 responses. Current cross-industry benchmarks for this research include consumer, life sciences and health care, financial services, technology, media and telecommunications, government, and energy, resources, and industrials are based on a survey of over 651,183 responses. The life sciences and health care subset covers 37,843 responses across 25 companies from May 2024 to January 2026. Scores represent an aggregate of underlying consumer responses to the four factors of trust. Analyses also examine the relationship between trust scores and adoption of new services.
Data was collected from the Deloitte Center for Health Solutions’ 12 edition of the 2025 US Health Care Consumer Survey, conducted in September 2025 for direct to consumer and willingness to pay findings. The survey included a nationally representative sample of 2,008 US adults ages 18 and over, reflecting the US census population in terms of demographics and health insurance coverage.
Qualitative insights were drawn from over 30 life sciences, health care, and technology specialists from Deloitte, focused on trust needs and sector implications.