Access Friction Detector

Methodology

Step 1: Availability Analysis

• Calculate third-next-available appointment (TNAA) by provider, specialty, and location
• Benchmark against specialty-specific access standards:
  • Primary care: 7 days or fewer for routine, 48 hours or fewer for urgent
  • Specialty care: 14 days or fewer for routine referrals
  • Behavioral health: 10 business days or fewer (per NCQA)
  • Post-discharge follow-up: 7 days or fewer (per CMS readmission reduction)
• Identify capacity bottlenecks by day of week, time of day, and provider panel saturation
• Flag providers operating above 85% panel capacity as at-risk for access degradation

Step 2: Accessibility Analysis (Geographic and Physical)

• Compute drive-time and public-transit-time isochrones from patient zip code centroids to facilities
• Apply CMS time-distance standards:
  • Primary care: 30 min / 15 miles (urban), 60 min / 60 miles (rural)
  • Specialty: 60 min / 30 miles (urban), 120 min / 75 miles (rural)
• Assess ADA physical accessibility for each facility (parking, entrance, exam room, equipment)
• Evaluate public transportation proximity (within 0.5 miles from transit stop)
• Map geographic deserts where access standards are not met

Step 3: Accommodation Analysis

• Evaluate scheduling flexibility:
  • Extended hours availability (before 8 AM, after 5 PM, weekends)
  • Same-day and walk-in capacity
  • Online self-scheduling adoption rate
  • Cancellation and reschedule ease (number of steps, channels available)
• Assess communication accommodation:
  • Language services availability (interpreter access within 10 minutes per LEP standards)
  • TTY/TDD availability for deaf and hard-of-hearing patients
  • Health literacy accommodations in intake and instructions

Step 4: Affordability Analysis

• Analyze cost-related access barriers:
  • Percentage of patients with high-deductible health plans (HDHP)
  • Financial assistance and charity care application rates and approval rates
  • Copay and cost-sharing transparency at point of scheduling
  • Prescription affordability barriers flagged in clinical notes (de-identified aggregate)
• Identify insurance-related friction:
  • Prior authorization denial rates and average turnaround time
  • Out-of-network referral frequency
  • Medicaid acceptance gaps across specialties

Step 5: Acceptability Analysis

• Evaluate cultural and trust barriers:
  • Provider demographic concordance rates (race, ethnicity, gender, language)
  • Patient-reported experience scores segmented by demographic group
  • Trust indicators from community health assessments
  • Cultural competency training completion rates among staff
• Assess digital acceptability:
  • Patient portal adoption by age group and digital literacy level
  • Telehealth utilization disparities by race, age, rurality, and insurance
  • Digital divide indicators (broadband access rates by patient zip code)

Step 6: Friction Scoring and Prioritization

• Assign composite friction scores per dimension (0-100):
  • 0-25: Low friction (meeting standards)
  • 26-50: Moderate friction (approaching risk)
  • 51-75: High friction (below standards, action needed)
  • 76-100: Critical friction (regulatory or equity risk)
• Aggregate into an overall Access Friction Index (AFI)
• Rank barriers by population impact (number of patients affected multiplied by severity)

Output Specification

access_friction_report:
  analysis_date: date
  population_scope: string
  overall_afi_score: number
  dimension_scores:
    availability: number
    accessibility: number
    accommodation: number
    affordability: number
    acceptability: number
  critical_barriers:
    - dimension: string
      barrier_description: string
      affected_population: string
      patient_count_estimate: number
      severity: string
      regulatory_reference: string
      recommendation: string
  geographic_gaps:
    - area: string
      population: number
      nearest_facility_minutes: number
      standard_exceeded_by: number
  equity_disparities:
    - metric: string
      advantaged_group_value: number
      disadvantaged_group_value: number
      gap_percentage: number
  recommendations:
    - action: string
      priority: string
      estimated_impact: string
      timeline: string

Analysis Framework

Use the Penchansky-Thomas 5A Framework enhanced with equity stratification:

Examples

Example: Urban Health System Access Audit

• Availability: TNAA for dermatology = 47 days, CRITICAL (benchmark: 14 days)
• Accessibility: 12% of Medicaid patients live more than 45 min from nearest PCP, HIGH
• Accommodation: Online scheduling available for only 3 of 12 specialties, MODERATE
• Affordability: PA denial rate for behavioral health = 31%, HIGH
• Acceptability: Telehealth adoption among 65+ = 8% vs. 45% overall, Equity gap flagged
• Overall AFI: 62/100, HIGH friction, priority intervention recommended

Guidelines

• HIPAA Compliance: All analysis must use de-identified or aggregate data. Geographic analysis should use zip code or census tract level, never individual addresses. Complaint data must be stripped of PHI before ingestion.
• Regulatory Alignment: Reference CMS network adequacy standards (42 CFR 438.68), ADA Title III requirements, and Section 1557 language access provisions in findings.
• Equity-First Approach: Always stratify findings by race, ethnicity, language, insurance type, disability status, and rurality. Report disparities explicitly.
• Actionability: Every identified barrier must include at least one specific, implementable recommendation with timeline and responsible party.
• Community Input: Validate findings with patient advisory councils and community health workers when possible.

Validation Checklist

• All five access dimensions analyzed with quantitative metrics
• Benchmarks sourced from CMS, NCQA, or evidence-based standards
• Geographic analysis uses time-distance standards appropriate to urban/rural classification
• Equity stratification completed across minimum 4 demographic dimensions
• No PHI present in any output artifact
• Regulatory references cited for all standard comparisons
• Recommendations are specific, actionable, and time-bound
• Access Friction Index calculated with transparent methodology
• Findings validated against patient complaint data for consistency
• Report formatted for executive and operational audiences