Transparent Priority-Setting Systems

Making Defensible Decisions About Resource Allocation

The Challenge of Choosing

Every public healthcare agency faces the same fundamental challenge: unlimited needs, limited resources. Should you invest in diabetes prevention or substance use treatment? Maternal health programs or chronic disease management? School-based clinics or mobile health units?

These aren't just budget decisions—they're decisions that affect entire communities. The programs you choose determine which health problems get addressed, which populations receive services, and ultimately, who benefits from public investment.

Without a transparent, defensible process for making these choices, agencies risk:

  • Decisions driven by politics rather than evidence
  • Resource allocation that doesn't match actual community needs
  • Loss of public trust when stakeholders don't understand why programs were or weren't selected
  • Difficulty justifying decisions to boards, funders, and communities
  • Inconsistent decision-making as leadership or priorities shift

Why Economic Frameworks Matter for Priority-Setting

From an economic perspective, priority-setting is fundamentally about allocative efficiency—getting the maximum health benefit from limited resources. But it's also about legitimacy and trust—ensuring that decisions are fair, transparent, and defensible to all stakeholders.

Traditional approaches to priority-setting often rely on:

While these factors may have some validity, they don't provide a systematic framework for making trade-offs or explaining why one program deserves funding over another.

Health economics provides structured approaches that:

What Makes Priority-Setting Transparent

Transparency in priority-setting means that stakeholders can understand:

What criteria

were used to evaluate programs

How criteria were weighted

(which factors mattered most)

Who participated

in the decision process

What evidence

informed the decision

Why

certain programs were selected over others

How

the process can be improved for next time

This doesn't mean everyone will agree with the final priorities—but it means they can see that the process was fair, evidence-based, and respectful of diverse perspectives.

Our Approach: Multi-Criteria Decision Analysis (MCDA)

We use multi-criteria decision analysis frameworks adapted specifically for public health priority-setting. MCDA is a structured methodology that:

This approach has been used successfully by health systems worldwide and is recommended by organizations including the World Health Organization for resource allocation decisions.

Common criteria we help agencies develop include :

Health Impact
& Burden

  • Disease burden (morbidity, mortality, economic cost)
  • Potential health improvement from intervention
  • Population reach and scale of impact

Equity & Social Justice

  • Impact on health disparities
  • Service to vulnerable or underserved populations
  • Geographic equity (urban vs. rural access)

Economic Considerations

  • Cost-effectiveness (health gained per dollar spent)
  • Return on investment
  • Budget impact and sustainability
  • Cost to community if problem unaddressed

Feasibility & Capacity

  • Organizational capacity to deliver
  • Community readiness and acceptance
  • Implementation timeline
  • Availability of evidence-based interventions

Strategic Alignment

  • Fit with agency mission and mandate
  • Alignment with state/federal priorities
  • Opportunities for partnership and leverage
  • Long-term strategic value

Community Priorities

  • Community-identified needs
  • Stakeholder input and preferences
  • Political and social context

Why This Approach Builds Trust

When you can show communities and boards that priorities were set using:

Explicit criteria

Diverse input

Evidence

Consistent process

clear documentation

rather than hidden agendas
from those affected by decisions
about costs, effectiveness, and need
about costs, effectiveness, and need
about costs, effectiveness, and need

...stakeholders are far more likely to accept outcomes, even when their preferred program wasn't selected. They can see the decision was fair even if it wasn't what they hoped for.

This transparency is essential in an era of declining trust in institutions. Public healthcare agencies must demonstrate not just that they make good decisions, but that they make decisions well.