Dependency by Design: From Government Subsidies to Healthcare—When Systems Sustain Instead of Strengthen

There is a hard truth that needs to be said plainly:

Some systems—both in government assistance and healthcare—are structured in ways that can create long-term dependence rather than restore independence.

Not always by accident. Not always unintentionally.

But often through incentives, structure, and in some cases, purposeful design.

And when that happens, the result is the same:

People are sustained—but not strengthened.

The Bigger Pattern: Managing Instead of Restoring

Across two major sectors—public assistance and healthcare—we are seeing a consistent pattern:

  • Systems expand participation

  • Short-term solutions become long-term defaults

  • Incentives reward continuation—not resolution

In government programs:

  • Enrollment is tracked

  • Funding is tied to utilization

  • Outreach is formalized

In healthcare:

  • Chronic disease is managed

  • Medications are prescribed long-term

  • Lifestyle intervention is often secondary

Different systems.

Same outcome.

We are managing problems instead of solving them.

Government Assistance: When Help Becomes Dependency

Public assistance programs were designed to be a safety net.

But increasingly, they function as a long-term support structure rather than a temporary bridge.

Federal SNAP guidance explicitly encourages states to conduct outreach and increase participation (U.S. Department of Agriculture [USDA], 2026a). At the same time, funding structures and administrative systems often reward higher utilization.

This creates a critical shift:

Success becomes measured by how many people are in the system—not how many successfully leave it.

When systems:

  • Reward enrollment

  • Discourage exit

  • Penalize upward mobility (benefits cliffs)

They create a predictable result:

Dependence becomes stable. Independence becomes risky.

Even federal analysis acknowledges the problem. “Benefits cliffs” occur when small increases in income lead to disproportionate losses in benefits, effectively discouraging advancement (U.S. Department of Health and Human Services [HHS], n.d.; National Conference of State Legislatures [NCSL], 2024).

This is not about individual failure.

This is about system design.

Dependency and Control: The Deeper Concern

At the ideological level, there is an important tension.

Some models of governance emphasize:

  • Personal responsibility

  • Work and contribution

  • Decentralized support (family, community, local institutions)

Others emphasize:

  • Centralized provision

  • Redistribution

  • State-managed stability

Critics of expansive welfare systems have long argued that when the state becomes the primary provider of essential needs, it can increase reliance on government structures and reduce individual autonomy.

In that sense, some subsidy models can function—whether intentionally or through structural incentives—as mechanisms that expand dependence and reinforce centralized control.

Regardless of intent, the outcome matters:

When people rely on systems for long-term survival, those systems gain influence over their lives.

Healthcare: Treating Disease Instead of Restoring Health

Now consider healthcare.

We face a growing burden of chronic disease:

  • Diabetes

  • Hypertension

  • Obesity

  • Cardiovascular disease

The dominant response is:

Medication management.

Medication absolutely has a role. It can be life-saving.

But too often, it becomes the primary strategy, rather than one part of a broader solution.

Yet research consistently shows that lifestyle interventions—nutrition, physical activity, sleep, and stress management—can significantly prevent and improve chronic conditions (Pinto & Bloch, 2018).

So why does the system lean toward medication?

Because the incentives support it:

  • Faster intervention

  • Standardized care pathways

  • Reimbursable services

But the result is clear:

We manage disease instead of restoring health.

And in doing so, we create:

  • Long-term medication dependence

  • Increased cost

  • Ongoing side effects

The Parallel: Two Systems, One Outcome

Look at the alignment:

Government AssistanceHealthcareLong-term subsidiesLong-term medication useEnrollment growthPrescription growthExit is difficultLifestyle change is underemphasizedStability over independenceSymptom control over root cause

In both cases:

The system sustains—but does not always empower.

The Human Cost: Loss of Purpose

This is where the issue becomes deeper than policy or medicine.

Because the greatest loss is not financial.

It is human purpose.

Work, effort, and responsibility are not just economic tools—they are foundational to identity, dignity, and mental well-being.

Research shows that employment is strongly associated with improved mental health, while unemployment is linked to increased distress (Drake et al., 2020; Sterud et al., 2025).

When individuals are placed into long-term dependency systems:

  • Motivation declines

  • Confidence erodes

  • Identity shifts from contributor to recipient

  • Initiative weakens

You cannot build strong people by removing the need to strive.

Bureaucracy and Self-Preservation

There is another reality that cannot be ignored:

Systems tend to preserve themselves.

Programs develop:

  • Administrative infrastructure

  • Funding streams

  • Political support

When continuation is rewarded, reduction becomes unlikely.

And when reducing dependency threatens the system itself, the system will naturally resist that outcome.

That is not conspiracy.

That is institutional behavior.

The Need for Balance

Let’s be clear:

  • People do need help

  • Patients do need medication

  • Communities do need support systems

But there must be balance.

There is a difference between:

  • A helping hand

  • And a permanent crutch

There is a difference between:

  • Treatment

  • And restoration

If someone needs support:

  • It should stabilize

  • Equip

  • And move them forward

Not hold them in place.

A Better Path Forward: Restore, Don’t Replace

If we are serious about helping people, then the goal must be clear:

Every system should be designed to reduce dependency—not expand it.

In Public Assistance:

  • Time-bound support

  • Workforce development integration

  • Elimination of benefit cliffs

  • Success measured by independence

In Healthcare:

  • Prioritizing lifestyle interventions

  • Integrating prevention into care models

  • Using medication as a tool—not the foundation

  • Measuring success by improved health—not just managed disease

Final Word

We should help people in need. Absolutely.

But we should never build systems—intentionally or unintentionally—that keep people dependent.

Because whether it is through subsidies or prescriptions—

A system that sustains people without restoring their strength and purpose is incomplete.

And over time, it risks doing something far more damaging:

It teaches dependence where there should be growth.

At the end of the day:

You can support people without weakening them.
But you cannot build strong people through dependency.

References

Drake, R. E., Frey, W., Bond, G. R., Goldman, H. H., Salkever, D., Miller, A., Moore, T. A., Riley, J., Karakus, M., & Milfort, R. (2020). Employment is a critical mental health intervention. Epidemiology and Psychiatric Sciences, 29, e178. https://doi.org/10.1017/S2045796020000906

National Conference of State Legislatures. (2024). Introduction to benefits cliffs and public assistance programs. https://www.ncsl.org

Pinto, A. D., & Bloch, G. (2018). Framework for building primary care capacity to address the social determinants of health. Annals of Family Medicine, 16(4), 304–311.

Sterud, T., et al. (2025). A systematic review of unemployment and mental health: Effects of re-employment. Scandinavian Journal of Work, Environment & Health.

U.S. Department of Agriculture. (2026a). SNAP state outreach plan guidance. Food and Nutrition Service. https://www.fns.usda.gov/snap

U.S. Department of Health and Human Services. (n.d.). Effective marginal tax rates and benefit cliffs. Office of the Assistant Secretary for Planning and Evaluation. https://aspe.hhs.gov

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