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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

Four core drivers of consumer trust

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.

  • Humanity reflects whether the service experience is caring and recognizes different patient needs. Trust falters when systems prioritize internal processes over lived realities, such as when scheduling or care delivery fails to account for needs like income, access to transportation, or prior care experiences.3
  • Transparency reflects whether consumers/patients understand what is happening, what comes next, and why decisions are made, communicated in clear, plain language. It can break down when information is late, incomplete, or hard to interpret, such as billing surprises, confusing prior authorization processes, unclear denials, or complex communications about drugs or devices.4
  • Capability reflects whether an organization delivers high-quality clinical outcomes, products, services, and experiences. Trust suffers when offerings or digital tools are not well designed or fail in execution.5
  • Reliability reflects whether patients can depend on care, products, and support to perform consistently. Lack of access to care and prescriptions, or inconsistent information, often due to complex ecosystems (including, vendors, suppliers, and partners), translate into perceived unreliability that creates frustration and diminishes trust, thereby impacting market share.6

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 translates into consumer adoption, retention, and willingness to pay

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.

Trust deficits could undermine growth as consumers seek simpler, more accessible care

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.

Younger consumers are redefining what trust can look like

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.

How technology is reshaping trust today

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.

Designing end-to-end health experiences that build trust

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:

  • Health plans can make coverage, costs, administrative steps, and care navigation easier to understand, while pairing that clarity with behavioral support, preventive care, and home-based services that enable consistent follow-through across and beyond the clinic.
  • Providers and health systems can strengthen clinical guidance, care navigation, and continuity, while reducing ambiguity and improving access through more seamless experiences that meet consumers where they are.
  • Pharmaceutical and medtech companies can reinforce trust by improving onboarding, coordinating affordability and coverage, offering plain-language product information, and ensuring supply reliability.
  • Health technology firms can reduce fragmentation in the consumer experience by integrating workflows and clearly communicating how data and AI are used at the key moments in the consumer journey (for example, when consumers provide consent while using digital tools).
  • Public agencies can shape the trust environment with clear guidance that is easy for consumers to understand and use to make decisions about their health.
  • Community organizations can serve as trusted bridges between consumers and businesses by fostering transparent communication and developing resources tailored to consumers’ lived experiences to support sustained participation.
  • Organizations including health plans can make benefits easier to navigate, improve transparency around privacy practices, and simplify fragmented vendor experiences. 

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.

Methodology

This analysis draws on multiple data sources to assess how trust shapes consumer value and behavior across the life sciences and health care industries.

 

HundredX™ analysis: Relationship between trust and value

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.

 

TrustID® analysis: Four factors of trust; adoption; trends over time

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.

 

Consumer survey: Direct to consumer, willingness to pay

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.

 

Subject matter specialists

Qualitative insights were drawn from over 30 life sciences, health care, and technology specialists from Deloitte, focused on trust needs and sector implications.

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Meet the industry leaders

Dr. Jay Bhatt

Managing director, Deloitte Center for Health Solutions | Deloitte Services LP

Dr. Kulleni Gebreyes

Principal, vice chair and US life sciences & health care industry leader | Deloitte Consulting LLP

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Ashley Reichheld

United States

Drew Wilkins

United States

Dr. Jay Bhatt

United States

Stan Orkin

United States

Mani Keita

United States

ENDNOTES

  1. Kulleni Gebreyes, 2026 Life Sciences and Health Care industry insights report - The consumer mandate: a prescription for the future, Deloitte, Nov. 4, 2025; Alicia Janisch, Wendy Gerhardt, and Maulesh Shukla, 2026 US Health Care Outlook: Three critical strategies shaping a more resilient, technology-enabled future, Deloitte Insights, Dec. 11, 2025; Andrew Davis, Neal Batra, Dr. Ken Abrams, Dr. Jay Bhatt, Dr. Kulleni Gebreyes, and Chris Kottenstette, “Safeguarding Medicare: Proactive care could unlock $500B in annual program savings,” Deloitte Insights, Sept. 15, 2025; Pete Lyons, Todd Konersmann, Sheryl Jacobson, Nico Kleyn, Kavita Rekhraj, and Darshan Gosalia, 2026 Life Sciences Outlook: Surveyed life sciences executives are optimistic about their own organizations’ financial outlooks, but identify a need for resilience in a complex global landscape, Deloitte Insights, Dec. 9, 2025.

  2. Deloitte, “TrustID™: Create competitive advantage for loyalty through trust,” accessed May 6, 2026.

  3. Laura Barrie Smith, Michael Karpman, Dulce Gonzalez, and Sarah Morriss, “More than one in five adults with limited public transit access forgo health care because of transportation barriers,” Urban Institute, April 27, 2023; Chris C. Duke and Christine Stanik, “Overcoming lower-income patients’ concerns about trust and respect from providers,” Health Affairs, Aug. 11, 2016.

  4. Keith Churchwell and Joshua T. Roll, “Surprise medical billing: Compelling need to address uncertainty, anxiety, and financial peril for patients,” Circulation 142, no. 1 (2020); Jihad Abdelgadir and Gabriela Plasencia, “The health care System is Broken—and prior authorization is a big part of the problem,” RAND, July 31, 2025; Anne Snively, “Patient harms and trust issues linked to prior authorization process,” Oncology Nursing Society, Sept. 17, 2025 ; Alyse Wheelock, Christine Bechtel, and Bruce Leff, “Human-centered design and trust in medicine,” JAMA 324, no. 23 (2020).

  5. Virgínia Maria Dalfior Fava and Luís Velez Lapão, “Provision of digital primary health care services: Overview of reviews,” Journal of Medical Internet Research 26, (2024); Lorenz Kustosch, Carlos Gañán, Michel van Eeten, and Simon Parkin, “Patching up: Stakeholder experiences of security updates for connected medical devices,” Proceedings of the 34th USENIX Security Symposium, Seattle, Aug. 13–15, 2025.

  6. Guideway Care, “How Wait Time Management enhances patient retention and satisfaction in healthcare,” accessed May 6, 2026; Ghousia Jabeen, Gurunadham Goli & Kafila, “Building trust: The foundations of reliability in healthcare,” Healthcare Industry Assessment: Analyzing Risks, Security, and Reliability 11 (2024): pp. 43–65; Julie Babyar, “Direct reliability: Strategies to revolutionize healthcare,” Journal of Public Health 28 (2020): pp. 89–95; Minje Park, “The impact of pharmaceutical supply chain disruptions on buyers’ behavior, medication errors, and market share,” dissertation, Boston University Theses & Dissertations, 2022.

  7. Deloitte analysis of 44,000 pieces of consumer feedback on 114 life sciences and health care organizations from HundredX on a 12-month trailing basis ending July 2025.

  8. Heather Nelson, Leslie Korenda, and Leslie Read, “Rebuilding trust in health care,” Deloitte Insights, Aug. 5, 2021; Amandine Gillet, Laura Mathieu, and Carlota Ybarra Maguregui, “When interfaces vanish, trust must become visible,” Deloitte, Dec. 16, 2025; Matt Phillion, “Report examines patient trust, and distrust, in healthcare data sharing,” Patient safety & quality healthcare, Sept. 5, 2023; PAN Foundation, “Most insured adults lack confidence in navigating their healthcare plans, new polling data finds,” Nov. 20, 2024.

  9. Janisch, Gerhardt, and Shukla, 2026 US Health Care Outlook: Three critical strategies; Davis, Batra, Abrams, Bhatt, Gebreyes, and Kottenstette, “Safeguarding Medicare.”

  10. Davis, Batra, Abrams, Bhatt, Gebreyes, and Kottenstette, “Safeguarding Medicare.”

  11. Gebreyes, 2026 Life Sciences and Health Care industry insights report - The consumer mandate.

  12. Ibid.

  13. Ibid.

  14. Age ranges for this study are defined as follows: Gen Z, born in 1997 or later; millennials, born between 1981 and 1996; Gen X, born between 1965 and 1980; baby boomers, born between 1946 and 1964; and seniors, born before 1946.

  15. Giancarlo Pasquini, Galen Stocking, Emma Kikuchi, Isabelle Pula, and Eileen Yam, “Where do Americans get health information, and what do they trust?” Pew Research Center, April 7, 2026.

  16. Janisch, Gerhardt, and Shukla, 2026 US Health Care Outlook: Three critical strategies; Jim Rowan, Beena Ammanath, Nitin Mittal, and Costi Perricos, “State of AI in the life sciences and health care industry: The untapped edge,” Deloitte, March 2026.

  17. Praveen Gujar, “Building trust In AI: Overcoming bias, privacy and transparency challenges,” Forbes, Nov. 19, 2024.

  18. Gebreyes, 2026 Life Sciences and Health Care industry insights report - The consumer mandate; Janisch, Gerhardt, and Shukla, 2026 US Health Care Outlook: Three critical strategies; Davis, Batra, Abrams, Bhatt, Gebreyes, and Kottenstette, “Safeguarding Medicare”; Lyons, Konersmann, Jacobson, Kleyn, Rekhraj, and Gosalia, 2026 Life Sciences Outlook: Surveyed life sciences executives.

  19. Gebreyes, 2026 Life Sciences and Health Care industry insights report - The consumer mandate.

ACKNOWLEDGMENTS

Project team: Madhushree Wagh and Leslie Korenda contributed significantly to the scoping, research design, analysis of key findings, and reviewing key sections of the paper. They also supported the overall coordination with an external survey vendor. Pavan Kumar Bhoslay provided critical support on data analysis and interpretation.

The authors would like to thank Rebecca Knutsen for key data review and narrative development; Maulesh Shukla, Anna Doherty, George Forakis, Lisa Iliff, and Christie Murphy for their subject matter expertise and review; and Divya Saha, Urvashi Yadav, Doppalapudi Sriharshavardhan, Shyamili M, Komal Sapra, and Roxanne Lucy for their contributions to this research.

Editorial (including production and copyediting): Rebecca Knutsen, Shyamili M, Prodyut Borah, Anu Augustine, and Cintia Cheong

Design: Meena Sonar and Harry Wedel

Cover image by: Sofia Laviano; Adobe Stock

Knowledge services: Vanapalli Viswa Teja

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