The frailty gap: Why one diagnosis code can’t tell the whole story

The term “medical frailty” sounds straightforward, but it creates a real challenge for Medicaid programs managing eligibility and compliance. The One Big Beautiful Bill Act uses medical frailty as a key criterion for exemption from Medicaid work or community engagement requirements.

However, medical frailty is not easily captured using a single diagnosis code.

In ICD-10-CM, the closest option is R54 (age-related physical debility), which includes frailty as a related concept. But this code is broad, age-focused and insufficient for identifying adults with functional limitations, chronic conditions or complex health needs.
 

Why ICD-10 code R54 falls short

The core issue is simple: frailty is not just one diagnosis — it’s a multidimensional condition.

Medical frailty often reflects a combination of:

• Chronic medical conditions
• Physical and cognitive limitations
• Behavioral health challenges
• Social instability

A patient may not have a clearly documented “frailty” diagnosis, yet still lack the mobility, stamina, cognitive function or support systems required to meet Medicaid work requirements.

This creates a gap in population health management and risk stratification, where vulnerable individuals may be overlooked.
 

A better approach: Using a whole-person model

To accurately identify medically frail individuals, healthcare organizations and Medicaid programs must adopt a whole-person, data-driven approach.

This means combining:

• ICD-10 codes for clinical documentation
• A clinically based population risk stratification and health status grouping methodology
• International Classification of Functioning (ICF) to assess functional limitations
• Social determinants of health (SDoH) Z-codes for environmental context

This layered model aligns with value-based care and health equity frameworks, ensuring more accurate identification and better outcomes.
 

The 4-part framework for identifying medical frailty

1. ICD-10-CM codes: Supporting clinical evidence

ICD-10 codes remain essential for documenting:

• Chronic diseases
• Mental health conditions
• Disability and mobility issues
• Substance use disorders

However, they should be used as supporting evidence, not the sole definition of frailty.
 

2. Clinically based health status grouping methodology: Population-level risk stratification

Clinically based population risk stratification and health status grouping methodologies are the most effective starting point for identifying high-risk patients across large populations.

Best use:

• Detecting complex health needs
• Targeting outreach and care management
• Identifying candidates for Medicaid exemption review
   

3. ICF framework: Measuring functional limitations

While diagnosis codes describe conditions, the ICF framework captures how those conditions impact daily functioning.

It evaluates:

• Mobility and physical endurance
• Cognitive function and memory
• Self-care and communication abilities
• Ability to meet work or reporting requirements

Best use: Determining whether a patient can realistically comply with Medicaid work requirements.
 

4. SDoH Z-codes: Understanding social barriers

SDoH Z-codes provide insight into:

• Housing instability
• Food insecurity
• Unemployment
• Social isolation
• Low health literacy

These factors significantly influence a patient’s ability to manage health and comply with program requirements.

Best use: Enhancing health equity insights and identifying barriers to engagement.
 

Why diagnosis codes alone miss at-risk patients

A diagnosis-only approach to medical frailty:

• Under captures vulnerable populations
• Misses functional limitations
• Ignores social and environmental barriers
• Creates gaps in Medicaid eligibility and compliance decisions

This can lead to inappropriate loss of coverage and poorer health outcomes.
 

A smarter way to identify frailty

The One Big Beautiful Bill’s use of “medical frailty” leaves states with a practical problem: how do they identify people who may be too medically or functionally limited to meet work requirements?

A more accurate, scalable solution is a multi-layered analytics model:

✓  ICD-10 supports clinical documentation

✓ Clinically based population risk stratification and health status grouping methodology

✓ ICF explains functional limitations

✓ SDOH Z-codes reveal real-world barriers

Medical frailty is not a single diagnosis. It’s a comprehensive picture of health, function and life circumstances, thus requiring an all-inclusive approach to identify.
 

Michelle Badore is the manager of international clinical development at Solventum.