On May 5, 2026, the conference Aging and Thriving: We the People, All the People was held at the DoubleTree Hotel Center City in Philadelphia. The convening was organized by the Philadelphia Aging and Thriving Planning Collective, the Philadelphia Department of Health, Division of HIV Health, and the Health Federation of Philadelphia.

Aging and HIV Institute was invited by Waheedah Shabazz-El to deliver a plenary address titled Internalized Ageism, HIV, and Access to Care in Senior Programs. We are grateful to Waheedah and the organizing partners for the opportunity to contribute to this discussion.

What follows is not a summary of that presentation. It is an analysis of the system behavior the presentation was designed to surface.

Design Problem

HIV care systems and aging services systems now serve a shared population.

Antiretroviral therapy extended life expectancy. As a result, a majority of people living with HIV in the United States are now over 50. This shift is stable and observable.

However, the systems that serve this population were not designed together. HIV systems were built around infection management and episodic care. Aging systems were built around functional decline and long-term support.

This creates a structural condition in which individuals move across systems that do not share assumptions about identity, eligibility, or engagement.

Design Fiction

Both systems operate with an implicit assumption.

Individuals will identify with the populations the systems are designed to serve.

This assumption functions operationally. Eligibility criteria, program design, and outreach strategies rely on it.

However, it does not consistently hold in practice.

Internalized ageism complicates this assumption. Individuals may qualify for aging services but not identify as older. Engagement may be delayed or avoided not because services are unavailable, but because participation requires alignment with an identity that is not accepted or is actively resisted.

This produces a gap between eligibility and participation that is not explained by access alone.

Lived Experience as Diagnostic

This gap becomes visible through behavior that is routinely misinterpreted.

Individuals defer routine care. They avoid services that are coded as age-related. They decline conversations that signal transition into an older category.

These actions are often categorized within systems as noncompliance, resistance, or lack of engagement.

However, these behaviors can be understood as identity-protective decisions.

The sequence is consistent.

Internalized ageism shapes expectations about health.
Expectations shape engagement.
Engagement is observed as behavior within systems.

At the point of observation, the originating condition, identity, is no longer visible.

Implementation Consequence

When behavior is interpreted without reference to identity, systems respond in ways that reinforce the initial condition.

Missed appointments trigger compliance protocols. Declined services reduce follow-up intensity. Lack of engagement is recorded as an individual attribute rather than a system interaction.

At the same time, the structural separation between HIV and aging systems limits the ability to contextualize these patterns.

HIV systems are equipped to interpret stigma and disclosure dynamics. Aging systems are structured around functional assessment and service eligibility. Neither system independently accounts for the interaction between identity and engagement described above.

The result is predictable.

Individuals whose engagement is mediated by identity are not consistently retained in care or connected to aging services, even when eligible.

System Interaction and Leadership

The connection between these systems is most often established through individuals rather than through design.

People aging with HIV routinely navigate both HIV care and aging services. In doing so, they encounter differences in assumptions, eligibility frameworks, and engagement expectations across systems.

When these individuals participate in advisory bodies, planning processes, or program design, they introduce information that is otherwise not captured.

This is not a function of representation in the abstract. It is a function of system navigation experience.

Leadership in this context emerges from repeated interaction with system boundaries. It does not require formal designation to exist, but formal roles determine whether that experience is incorporated into system design.

Policy and Design Implications

At the policy level, the issue is not primarily one of access expansion.

Services exist. Eligibility frameworks are defined. Coverage is established.

The design issue is that engagement is treated as a function of availability rather than identity alignment.

When systems assume that eligibility produces participation, they overlook the conditions under which individuals decline to engage.

This leads to underutilization that is not visible through standard metrics. Data may show service availability alongside incomplete uptake without identifying the mechanism linking the two.

In this context, internalized ageism functions as a system-relevant variable, but it is not consistently captured in data collection, program design, or accountability structures.

Close

The interaction described here does not depend on intent, awareness, or failure.

It reflects the way systems are currently structured to operate.

When identity is not accounted for in design, it does not disappear. It reappears in behavior.

When behavior is interpreted without reference to identity, system responses reinforce the conditions that produced it.

These outcomes are consistent with the design choices embedded in current HIV and aging service systems.

The GUARD Model is a design intervention rather than a marginal adjustment. It alters how price signals are set, how plans respond, and how access is structured. The analytic question is not whether costs should be reduced, but whether the design choices embedded in the model account for the conditions under which care is actually delivered, particularly for populations whose treatment depends on long-term stability.

The Design Problem

The GUARD Model is structured to align U.S. drug prices with those in other countries through a system of benchmarks and rebates. This approach assumes that price can be adjusted without materially affecting access, so long as coverage remains formally intact.

At the same time, Medicare maintains a separate design feature: the six protected classes policy. This policy requires Part D plans to cover substantially all drugs in specific therapeutic categories, including HIV, based on the premise that treatments within these classes are not interchangeable.

These two design logics now operate in parallel: one changes incentives across plans and manufacturers, while the other assumes access to a full range of therapies must be preserved. The model does not explicitly specify how these design features will interact in practice and proceeds as if both can operate without affecting the other.

Design Fictions

Two design fictions are evident in this structure.

The first is a form of neutrality. The model assumes that price adjustments can be applied uniformly across therapeutic areas without producing uneven effects. This holds only if medications within those areas are substitutable in practice. For protected classes, that assumption does not hold.

The second is a form of stability. The model treats access as stable so long as coverage categories remain intact. In practice, access is mediated through formularies, utilization management, and plan behavior. Stability is not defined by formal inclusion but by whether individuals can continue to obtain the specific medications that work for them without disruption.

These fictions do not arise from intent. They persist because systems continue to function until design constraints force visible failure.

Where HIV Care Does Not Conform to the Model

HIV treatment does not operate under conditions of interchangeability. Medication regimens are individualized over time, with clinical decisions reflecting prior treatment history, resistance patterns, comorbid conditions, and patient-specific tolerability. For individuals who have achieved viral suppression, maintaining a stable regimen is the basis of effective care.

Among older adults living with HIV, the conditions become more complex. Polypharmacy is common, and drug interactions must be managed across multiple chronic conditions. Adjustments to treatment are not limited to HIV alone but intersect with cardiovascular, metabolic, and behavioral health considerations.

Within this context, a change in access is not limited to a change in price. It can alter whether a regimen remains viable. The protected classes policy was designed to account for this reality, while the GUARD Model introduces a pricing structure that may alter how that policy functions in practice.

The Gap in Current Analysis

Policy discussion of the GUARD Model has focused on projected savings, rebate structures, and potential effects on innovation. These are valid considerations, but they operate at a level of abstraction. That abstraction assumes uniform patient experience.

What is not consistently examined is how design choices affect populations whose care depends on continuity rather than substitution. Older adults living with HIV are one such population. More than half of people living with HIV in the United States are age 50 and older, a proportion that continues to increase. Their care reflects long-term engagement with treatment systems, not episodic use.

When policy analysis does not name these populations, it defaults to a generalized patient model. That model does not account for conditions where stability is the primary requirement. The absence is not simply descriptive. It shapes how success is defined.

Implementation as the Test

The interaction between pricing models and access protections will not be determined at the level of policy intent. It will be determined through implementation.

Part D plans operate through formularies, tiering structures, and utilization management tools. Changes in pricing incentives influence how these tools are applied. Even where coverage requirements remain, access can be altered through prior authorization, step therapy, or placement within cost-sharing tiers.

If a model introduces financial pressure without specifying safeguards for protected classes beyond existing requirements, plan behavior becomes the site where design is resolved. Equity is not established through general statements of protection but when populations are explicitly accounted for in how systems are required to function.

If older adults living with HIV are not named in the design of safeguards, their outcomes will follow from default plan behavior. Default behavior is not a failure of implementation. It is the execution of design.

Closing

The GUARD Model presents a clear policy objective: reduce drug costs within Medicare. That objective is not in question. What remains unresolved is whether the model’s design accounts for populations whose care depends on maintaining access to specific, non-interchangeable treatments over time.

Making that population visible is not a request for exception. It is a requirement for accurate policy design. Where stability is a clinical condition, not a preference, access cannot be inferred from coverage alone. The distinction becomes visible only when design is examined at the point where policy meets use.

The case study below is used as a diagnostic instrument. Its value lies in what it makes visible about system design when scientific governance is destabilized. The sudden cancellation of multiple HIV-related research grants is not presented for its drama, but because it reveals how politically driven decisions expose embedded design fictions. These include stability that is presumed rather than safeguarded, neutrality that collapses under pressure, and visibility that depends on being explicitly named.

By examining how funding interruptions altered research workflows, partnerships, and prevention infrastructures, the case study shows where systems rely on discretionary conditions instead of protected design. These observations matter for aging and HIV work because older adults living with HIV interact daily with systems whose performance depends on continuity, governance, and explicit inclusion. When those conditions shift, the consequences are predictable rather than exceptional.

The following analysis uses this disruption to make system behavior legible. It highlights what becomes apparent only when routine processes are interrupted and why design choices, far more than intent, determine whose health and safety are protected.

Case Study in Health Equity

Political Interference, Disrupted Science, and the Cost to Communities:
Using HIV as a Lens

I. Introduction: A Story About Systems Under Pressure

In a recent New York Times article referenced below, researchers describe what happened when four federally funded HIV-related grants were abruptly canceled during the Trump administration. The cancellation was sudden, unexplained, and destabilizing. One investigator said it felt as if “a bomb had gone off” in their scientific community. Others described being left “dead on the field” or “severely maimed” professionally. Colleagues fell silent. Younger researchers reconsidered their careers. Community partnerships paused. Years of scientific progress froze while investigators waited for political signals that had nothing to do with evidence, public health, or community need.

This is more than a story about one research team. It illustrates what happens when political actors intrude on scientific and public health systems. Communities aging with HIV know this dynamic well. When science becomes politicized, vulnerable populations bear the cost.

Older adults living with HIV rely on integrated systems, specialized providers, long-term continuity, and stable policy environments. Their outcomes are shaped by decisions made far upstream, often by people who do not see them or understand their lives. This case study highlights how fragility at the policy level becomes fragility at the human level.

Health equity work must therefore address not only access to services, but also the stability, protection, and governance of the systems that deliver or endanger those services.

II. The Structural Pattern: When Politics Disrupt Systems

The NYT narrative reveals three themes that matter for anyone working to advance health equity:

1. Destabilized funding creates cascading harm

When HIV research funding was withdrawn without explanation, teams lost personnel, partnerships, and momentum. These disruptions are not just scientific setbacks. They are setbacks in equity, because communities most affected by HIV — LGBTQ+ people, people of color, and long-term survivors — rely on the stability of research, prevention, and care infrastructures.

2. The chilling effect suppresses visibility and innovation

Researchers described becoming fearful about which topics to pursue or publish. LGBTQ+ sexual health work became politically risky. This chilling effect mirrors the experiences of people aging with HIV who have spent decades navigating stigma, silence, and institutional avoidance.

3. Politicized decision-making amplifies stigma

Political discomfort with certain research topics can legitimize social stigma. Older adults living with HIV have experienced this since the early epidemic, and the NYT case demonstrates how quickly these patterns re-emerge when political conditions allow it.

III. Evidence From Global Research: A Parallel Case

A qualitative study in BMJ Global Health examined how the Trump administration’s expanded Global Gag Rule affected sexual and reproductive health and HIV services in Kenya (Okeke et al., 2020). The results strongly reinforce the NYT narrative.

Key findings confirmed directly from the uploaded file include:

• Disruptions to HIV testing and linkage services, with NGOs reducing or eliminating activities after refusing to sign the Gag Rule (Okeke, pp. 484–512).

• Breakdown of referral networks, including over-interpretation of the policy that created unsafe gaps in care (pp. 628–666).

• A chilling effect in which organizations withdrew from partnerships due to fear of non-compliance (pp. 412–452).

• An observed increase in punitive responses by governmental and non-governmental entities, reflecting how policy signals reshaped operational behavior toward marginalized groups (pp. 354–391).

• Reduced staff training and weakened workforce capacity, directly affecting HIV and SRH care (pp. 790–818).

The Kenya study demonstrates how politically driven restrictions in one part of the health system can destabilize other areas, including HIV services, making them more fragile and less equitable.

IV. Evidence From U.S. Research: Policy Instability Increases Infections

A modeling study in JAMA Network Open examined how U.S. policy changes that reduce access to PrEP affect HIV incidence (Jenness et al., 2024). Findings from the uploaded file include:

• A 1 percent reduction in PrEP coverage among men who have sex with men results in approximately 114 additional HIV infections within one year.

• Even small reductions in access lead to large increases in lifetime medical costs.

• HIV prevention outcomes are highly sensitive to policy stability.

This research puts numbers to what the NYT narrative describes qualitatively. When political decisions weaken access to prevention tools, the resulting inequities are measurable, predictable, and avoidable. For older adults living with HIV, who already navigate fragmented care environments, instability in policy exacerbates existing disparities.

V. Implications for Health Equity Work

The combined evidence from the NYT case, global research, and U.S. modeling studies demonstrates that:

1. Health systems that rely on federal stability are vulnerable to political shifts

Communities aging with HIV depend on consistent access to prevention, behavioral health, housing, and long-term care. Political interference upstream creates real harm downstream.

2. Visibility is a form of protection

When HIV and LGBTQ+ older adults are explicitly named within aging and disability frameworks, they are less vulnerable to being sidelined during political change.

3. Health equity requires stable research, data, and prevention infrastructures

The NYT story and the two research articles show that disrupted science is an equity issue. Protecting scientific ecosystems protects communities.

4. A&H’s role

Aging and HIV Institute (A&H) operates at the intersection of community lived experience and systems advocacy. The organization brings forward the insights of HIV long-term survivors and pushes for accountable policy environments that protect older adults whose health depends on stable, well-governed systems.

VI. Questions for Leaders, Policymakers, and Advocates

1. How can public institutions strengthen protections for research and services that disproportionately affect marginalized older adults?

2. How can aging and disability frameworks ensure that HIV and LGBTQ+ elders remain explicitly visible in equity strategies?

3. What governance structures or safeguards are needed to prevent political interference from disrupting essential health work?

4. How can state and local systems create stable prevention and behavioral health funding that is resilient to federal policy volatility?

Contact

David “Jax” Kelly, JD, MPH, MBA
Founder, President and CEO
📧 JaxKelly@AgingandHIV.org

References:

Interlandi, J. (2026, February 23). The Human Cost of the Trump Administration’s War on Science. The New York Times. https://www.nytimes.com/2026/02/23/opinion/doge-hiv-funding.html?searchResultPosition=1

Sullivan PS, Wall KM, Juhasz M, DuBose S, Crowley JS, Breyer C, Millett G, Brisco K, Le G, Mayer K. Excess HIV Infections and Costs Associated With Reductions in HIV Prevention Services in the US. JAMA Netw Open. 2025 Sep 2;8(9):e2531341. doi: 10.1001/jamanetworkopen.2025.31341. PMID: 40932715; PMCID: PMC12426795.

Ushie, B. A., Juma, K., Kimemia, G., Magee, M., Maistrellis, E., McGovern, T., & Casey, S. E. (2020). Foreign assistance or attack? Impact of the expanded Global Gag Rule on sexual and reproductive health and rights in Kenya. Sexual and Reproductive Health Matters, 28(3), 23–38. https://doi.org/10.1080/26410397.2020.1794412.

Close

This case study makes visible what becomes apparent only when routine scientific and public health functions are interrupted. Systems reveal their design through their defaults. When communities aging with HIV depend on continuity, naming, and safeguards, the stability of governance is not optional. It is part of the design itself.

CMS collects stakeholder input through an Information Collection Request (ICR). The ICR framework focuses on:

• Patient-centered evidence

• Treatment value

• Unmet needs

• Barriers to access and affordability

• Adherence challenges

• Impact on specific populations and caregivers

This structure evaluates how a therapy functions for individuals and defined patient groups within a clinical and access framework.

The ICR does not include an explicit evaluation of communicable-disease externalities, including resistance emergence or transmission containment risk.

That boundary reflects the statutory design of negotiation, which centers price and therapeutic alternatives. The ICR supports that design.

HIV treatment operates within a dual structure. Antiretroviral therapy (ART) requires uninterrupted use. Treatment interruption is associated with viral rebound, increased transmission risk, and development of multidrug-resistant HIV (MDR-HIV). These consequences extend beyond individual therapeutic substitution. They affect population-level disease containment.

Medicare’s six protected classes policy recognizes that interruption in antiretroviral access carries severe consequences. Negotiation does not remove that designation. However, the ICR does not operationalize communicable-disease continuity as an explicit evaluation criterion.

This creates a structural separation between price methodology and disease-containment governance.

The current data collection asks:

How does the drug function for patients?

It does not ask:

What are the system-level consequences if continuity is destabilized?

Where Biosecurity Enters as System Stability

In this context, national security and biosecurity refer to the stability of communicable-disease containment systems.

Resistance emergence and transmission control are monitored through federal surveillance systems and national HIV strategy coordination mechanisms. These functions are not structurally integrated into CMS negotiation methodology.

A workable next step does not require expanding CMS pricing authority. It requires a consult trigger before final Maximum Fair Price implementation for therapies that:

• Are continuity-critical for communicable-disease control

• Carry documented resistance risk if interrupted

Such a trigger would require CMS to consult with the relevant federal public health surveillance and national HIV strategy authorities regarding:

• Resistance emergence modeling

• Transmission containment implications

• Alignment with national viral suppression goals

This would not alter CMS’s statutory role. It would align pricing implementation with communicable-disease containment governance already embedded elsewhere in federal policy.

Implementation as Alignment

The question of whether HIV therapies should be subject to negotiation remains a separate policy determination. The structural issue examined here is narrower: if negotiation proceeds, does implementation incorporate communicable-disease continuity as a constraint before final pricing action is set?

Price reform and disease-containment strategy need not operate in conflict. Alignment requires deliberate coupling between pricing authority and public health surveillance functions.

Absent that coupling, continuity protections depend on assumption rather than design. Alignment between pricing authority and disease-containment strategy must be formalized before final pricing determinations are executed.

At the level of system design and implementation, however, the same structural gaps reappeared. Certain populations remained unnamed in planning documents. Certain assumptions about stability, disclosure, and service use continued to shape eligibility and delivery. As a result, the distance between how aging policy is articulated and how aging systems function did not narrow. In several areas, it became more pronounced.

Naming Is Not Symbolic. It Is Operational.

A clear pattern throughout 2025 was the selective naming of populations within aging policy documents. Plans and implementation guides often described older adults as a universal category, with limited acknowledgment of how aging intersects with long term conditions, stigma, or prior system exclusion. HIV was frequently absent or folded into general health language. LGBTQ+ older adults were referenced inconsistently or omitted altogether.

This omission functioned as a design choice rather than a rhetorical gap. When populations are not named explicitly, they are rarely defined within eligibility criteria, measured in data systems, or included in workforce training requirements. The result is predictable. Implementation defaults to generalized practice, even when prevalence, need, and cost suggest that specificity is required.

Naming determines what becomes operationally visible. Systems plan for what they recognize. What remains unnamed is treated as peripheral, even when it shapes how older adults interact with services and how systems allocate responsibility.

Systems Are Designed for Simplicity, Not Complexity

A second pattern that became clearer in 2025 was the reliance of aging systems on simplified design assumptions. These systems tend to presume stable housing, predictable service use, safe disclosure, and continuity over time. While rarely stated directly, these assumptions are embedded in eligibility thresholds, recertification schedules, and intake documentation requirements.

When individuals do not meet these assumptions, systems rarely register the mismatch as a design limitation. Instead, the burden shifts to the individual to adapt. Missed appointments, incomplete documentation, or delayed follow through are interpreted as disengagement rather than as evidence that system expectations are misaligned with lived conditions.

This design logic becomes especially consequential at the intersection of aging and long term health conditions. Aging services and HIV services continue to operate in parallel, with different disclosure expectations, timelines, and risk profiles. Without explicit mechanisms for coordination, individuals are required to move between systems that assume they belong elsewhere. Complexity is acknowledged rhetorically but managed administratively through simplification.

Implementation Is Where Equity Either Materializes or Disappears

Much of the policy activity in 2025 occurred at the point where commitments were meant to become operational. Draft plans opened for comment. Toolkits were released with the expectation that local systems would adapt. Guidance documents circulated to help agencies translate high-level language into administrative practice.

These moments revealed a consistent pattern. When populations were not named, when metrics were undefined, or when responsibility for adaptation was left ambiguous, implementation defaulted to existing procedures. Local agencies and contracted providers followed established workflows because no mechanism required them to change. Equity language remained present in planning documents but did not consistently appear in eligibility screens, data systems, or workforce training.

The result was not drift, but predictability. Systems executed what their design authorized. In the absence of explicit instructions, specificity, and accountability, default behavior functioned as the intended outcome, even when policy language suggested otherwise.

Lived Experience Makes Design Defaults Visible

The discussion above becomes concrete when viewed from the standpoint of applied policy work. During the public comment period for California’s four-year plan under the Older Californians Act, the initial draft did not name HIV or LGBTQ+ older adults. This omission occurred despite the existence of SB 258, which identifies older adults living with HIV as a population of greatest social need, and despite a recent statewide survey documenting the needs of LGBTQ+ older adults. The design gap was not a matter of intent. It reflected what the system treated as operationally visible.

The “We Exist. We Age. We Deserve to Be Named” public comment campaign emerged in response to that omission. Its purpose was not to introduce new policy, but to make an existing statutory obligation legible within the plan’s implementation framework. The campaign revealed a core dynamic in aging policy: when populations are not explicitly named, even well-established requirements do not reliably carry into planning, metrics, or local accountability.

Lived experience, understood in this structural way, does not exist at the margins of policy. It identifies where design assumptions fail under real conditions and where default procedures are producing predictable gaps.

What This Looks Like in Practice

The omission in California’s draft plan was not an isolated event. It reflected a pattern that becomes visible in routine interactions with aging and health systems. Even when populations are named in statute and documented through surveys or other work products, those designations do not reliably carry into implementation. When plans do not translate those designations into explicit operational expectations, the system defaults to generic processes. This shows up in steps that appear ordinary on the surface: an intake form that does not capture the information needed to place someone accurately, a referral that assumes disclosure without establishing safeguards, or a program that technically exists but requires documentation that many older adults cannot reasonably provide. Each instance looks administrative rather than structural, but together they reproduce the same visibility gap that appeared in the plan. Bottom of Form

These patterns are not anomalies. They reflect how aging systems operationalize categories, assign responsibility, and manage uncertainty. When specificity is absent and stability is presumed, individuals whose lives do not align with those assumptions encounter barriers that the system does not recognize as barriers. The resulting gaps are not visible in planning summaries or aggregate data, yet they persist because they arise directly from standard procedures.

Observing these interactions over time clarifies a simple point: design defaults are experienced long before they are acknowledged in policy language. They materialize in the ordinary steps where systems ask for information, rely on trust, or presume continuity.

Why So Much of This Work Happens Outside Institutions

A final pattern that became clearer over the course of 2025 was the role of institutional constraints. Public agencies operate within statutory authority, political timelines, and defined accountability structures. These boundaries shape how far an agency can move beyond established practice, even when policy language encourages broader inclusion. As a result, gaps that originate in design are not easily corrected within the same structures that produced them.

This creates a familiar dynamic in aging and health systems. Work that involves naming specific populations, translating equity language into operational requirements, or documenting unmet need often emerges outside formal institutions. Community organizations, advocates, and policy intermediaries are able to identify design gaps precisely because they are not bound by the same administrative constraints. Their proximity to lived experience also allows them to see where default processes fail under real conditions.

This external analysis is not oppositional. It is functional. Institutions carry responsibility for administration and compliance, but they are not always positioned to generate critique of their own design. Parallel spaces become necessary to surface omissions, clarify expectations, and supply the specificity that systems require in order to adapt. Much of what appears as advocacy is, in practice, diagnostic work that institutions rely on even when they cannot produce it internally.

What This Year Clarified

Taken together, the public record of 2025 points to a set of conclusions that are difficult to overlook. Aging policy advanced in language faster than it advanced in structure. Specific populations were acknowledged in statutes and surveys but were not consistently named in the planning documents responsible for operationalizing those commitments. Systems recognized complexity rhetorically but continued to rely on procedures built for stability and uniformity. Lived experience was referenced but not integrated into the mechanisms that determine eligibility, documentation, or accountability.

None of these patterns suggest a lack of activity. They reveal where design logic remains unfinished. Equity does not falter because systems resist it. It falters because the processes responsible for carrying policy into practice are not calibrated to hold specificity, disruption, or long-term survivorship. The result is predictable: implementation returns to default behavior unless systems are required to adapt.

What 2025 clarified is not that aging services lack intention, but that intention alone does not change design. Without explicit operational expectations, defined responsibility, and measurable inclusion, policy language remains aspirational. Implementation follows what the system is already built to recognize.

Why This Space Exists

AgingOven exists to hold the kind of analysis that does not easily fit within plans, briefs, or public comment processes. It is a place to examine design choices without needing to resolve them immediately, and to trace how systems behave under conditions that policy language often treats as exceptions. This work requires enough distance from institutional constraints to name omissions clearly and enough proximity to lived experience to see how defaults operate in practice.

The purpose of this space is not volume or critique. It is clarity. By observing how policy commitments travel through eligibility rules, documentation requirements, and administrative expectations, it becomes possible to see where equity is likely to materialize and where it is likely to disappear. The aim is to make those patterns visible, not to assign intent, but to understand what systems are authorized and structured to do.

External analysis is necessary because institutions are not designed to generate it themselves. They are responsible for implementation, compliance, and risk management. They are less suited to identifying design fictions, naming populations that fall outside their established categories, or documenting where default assumptions create predictable barriers. Spaces like this one help surface those gaps so that policy language, accountability structures, and operational decisions can evolve with greater precision.

AgingOven exists because visibility alone is not sufficient. Systems require specificity, and specificity requires recognition of the ways aging is experienced by people whose histories, needs, and risks are not captured by universal categories. This space is one way to make that recognition harder to ignore.

Over the past several years, aging has moved closer to the center of public policy conversations, driven in part by demographic shifts as states see a growing share of their populations over the age of 50. Aging is referenced more explicitly across health, housing, and social service frameworks, and equity language appears more frequently in policy documents. At the same time, conferences and convenings increasingly acknowledge aging as a cross-cutting issue rather than a standalone silo.

From a distance, this shift suggests progress. Aging is being named more often and with greater urgency. Yet closer examination reveals a persistent tension. Aging is discussed broadly, but rarely with precision. Visibility is invoked, but not consistently translated into design, implementation, or accountability. This gap between attention and operation is not new, but it has become more consequential as aging policy expands its scope without fully revisiting its underlying assumptions.

What policy language does and does not do

Policy language performs several functions at once. It signals priorities, defines eligibility, shapes data collection, and sets the boundaries of responsibility. What is named becomes legible to systems. What is grouped becomes manageable. What is omitted often disappears from planning altogether.

I have seen this play out directly. While serving on a planning committee, I failed early on to name that a person living with HIV should be involved in the project we were designing. Later, when selection criteria were being finalized, I missed another opportunity to include language that might have explicitly encompassed living with HIV. Although the process eventually identified candidates who were living with HIV, none advanced to the final round. Nothing in the process was overtly exclusionary, but the initial omissions shaped the outcome.

In aging policy, broad categories are frequently treated as neutral. Older adults are referenced as a single population. Aging is framed as a universal experience, with variation acknowledged but rarely structured for. Equity is often addressed through aspirational language rather than operational commitments.

When aging is framed as universal, specificity is deferred rather than designed for. Difference is acknowledged in principle but filtered out as planning moves toward eligibility criteria, selection processes, and implementation thresholds. What begins as inclusive language gives way to progressive narrowing, not because exclusion is intended, but because universality provides no mechanism for carrying difference forward.

Policy language does not merely describe reality. It establishes the conditions under which certain lives are anticipated and others must repeatedly assert their relevance as decisions accumulate. The result is not a single exclusionary moment, but a sequence in which neutrality consolidates direction and visibility contracts over time.

Aging with HIV as a case, not an exception

Aging with HIV offers a useful example of how this dynamic plays out, not because it is exceptional, but because it makes visible the assumptions aging frameworks often leave unexamined. It surfaces how universality, neutrality, and abstraction operate when a stigmatized medical diagnosis intersects with systems that vary widely in readiness, competence, and accountability.

Many aging systems rely on self-identification and trust. Individuals are expected to disclose needs, histories, or diagnoses in order to access appropriate services. This model assumes not only that disclosure is safe and legible, but that systems have safeguards in place to respond without exposing individuals to additional risk. When those safeguards are absent, the burden of trust rests entirely on the individual, while institutional design remains unchanged.

HIV places sustained pressure on how aging systems are designed to distribute risk and responsibility. Disclosure carries consequences shaped by stigma, prior institutional harm, and uneven provider competence. In the absence of clear safeguards, individuals are left to navigate when, how, and to whom disclosure is safe, while systems retain discretion without accountability.

In practice, aging frameworks that do not explicitly account for HIV often produce parallel pathways rather than coordinated ones. Aging services may presume that HIV-related needs are addressed within HIV-specific systems. HIV services, in turn, frequently take on aging-related work independently, developing programs from the ground up rather than integrating with aging services that have long-standing infrastructure, expertise, and reach. The result is not a lack of effort or commitment, but fragmentation that places the burden of coordination on individuals.

This is not about carving out special categories or creating siloed exceptions. It is about recognizing what certain cases reveal about system design, particularly when populations once presumed not to age now do, and when longstanding service domains fail to adapt to that reality in coordinated ways.

Where institutional design breaks down

The gap between policy design and lived reality becomes visible at specific points where systems are organized to operate separately but are experienced simultaneously by the people they serve.

First, aging services and HIV services are structured to run in parallel. Coordination is often informal and relationship-based rather than built into shared pathways. Eligibility rules, funding streams, and reporting requirements reinforce separation even when policy language gestures toward integration. As a result, individuals are required to move between systems that do not formally recognize one another’s role in their care.

Second, health and social service systems are organized around different operational priorities. Clinical settings are structured to identify, diagnose, and treat conditions. Aging and social service systems are structured to assess function, support daily living, and stabilize access over time. When needs span both domains, individuals are required to translate themselves across administrative and professional languages that were not designed to align.

Third, eligibility and program administration are built around expectations of stability. Stable housing. Stable health status. Stable documentation. Intake processes and recertification timelines presume continuity even when the populations served experience interruption, fluctuation, or heightened risk associated with disclosure. These design expectations are rarely explicit, but they shape who remains visible as systems narrow access over time.

When individuals cannot meet these design expectations, the resulting friction is often interpreted as disengagement or noncompliance. In practice, this framing obscures the role of institutional structure, treating predictable design failures as individual shortcomings rather than signals that systems are not built to accommodate the realities they encounter.

Implementation as the real test of equity

Much of aging policy work concentrates on points where commitments are formally articulated: draft plans released for public comment, toolkits intended to guide local action, and frameworks designed to translate high-level goals into practice. These moments are often treated as evidence of progress, but they are better understood as thresholds where inclusion either becomes durable or quietly dissipates.

Implementation is where equity either materializes or disappears. When populations are not explicitly named, when data collection is optional, and when responsibility for adaptation is diffuse, implementation defaults to existing structures. Local agencies, contractors, and service providers operate within the limits of their authorizing language, funding requirements, and reporting obligations. In the absence of clear direction, they are not failing to implement equity. They are implementing exactly what has been specified.

This is not a failure of intent. It is a failure of structure. Equity language that remains aspirational does not travel through contracting, training, metrics, or accountability. Without those elements, systems revert to familiar categories and established practices, even when those practices reproduce exclusion.

This dynamic is often visible when inclusion is presumed rather than operationalized. A population may be described as “implicitly included” through association with a broader category, yet no data is gathered, no training is required, and no accountability follows. In such cases, inclusion exists only at the level of language. The absence becomes apparent only at the point of implementation, when systems are unable to demonstrate how equity was meant to function in practice.

What lived experience reveals

Lived experience becomes analytically useful when it is treated as evidence of how systems operate in practice. Not as testimony, and not as narrative for its own sake, but as a record of interaction between design and use. When examined this way, lived experience exposes gaps in policy logic that abstract analysis alone often misses.

It makes visible where timelines do not align, where disclosure is presumed safe without corresponding safeguards, and where eligibility hinges on criteria policy never names. These are not exceptional moments. They are routine points of contact between individuals and systems functioning exactly as designed.

The resulting design fiction appears in ordinary processes. Forms that require information without explaining how it will be used. Programs that depend on trust without accounting for prior institutional harm. Services that assume continuity when interruption is the norm. In each case, the system behaves predictably, even as lived experience is treated as anomalous.

When lived experience is framed this way, not as personal narrative but as system interaction, it becomes a diagnostic instrument. It shows how design choices translate into consequences, and why gaps that appear abstract at the policy level become concrete at the point of use.

What this looks like in practice

In practice, these design choices rarely appear dramatic. They show up in small breakdowns that accumulate over time. A referral that stalls because no single program recognizes the full scope of need. An intake process that requires disclosure without clarity about how that information will be used. A planning process that identifies people living with HIV without ever designing for their inclusion.

I have encountered this dynamic repeatedly in aging and health settings. The issue was not hostility or neglect, but omission. HIV was not named. Criteria were not written to account for it. Data were not collected in ways that would make older adults living with HIV visible across systems. When individuals were eventually identified, there was no structural pathway for that recognition to shape outcomes.

These are not edge cases. They are predictable results of systems built without naming who they are meant to serve. Where populations are absent from policy language and data collection, their exclusion does not register as a failure. It registers as normal operation.

Why this space exists

AgingOven exists to hold analysis that is difficult to sustain in posts, briefs, or comment letters. It creates room to examine how repeated design choices, rather than isolated moments, shape who becomes visible in aging policy and who does not. It allows policy language, implementation practice, and lived experience to be considered together rather than in isolation.

There is no fixed publishing schedule or output requirement here. The focus is on clarity: identifying what systems are built to recognize, where responsibility is assigned or deferred, and how omissions become durable through planning and implementation. The aim is not volume, but precision.

This space exists to make visible the dynamics traced throughout this piece: how populations remain absent when they are not named, how implementation defaults reinforce existing structures, and how lived experience functions as evidence of system behavior rather than anecdote. By slowing the analysis down, those dynamics become harder to overlook and easier to address.

Subscribe now