Policy Impact Analysis - 117/HR/8931

Bill Overview

Title: Improving Access to Safe Medicines Act of 2022

Description: This bill requires the Drug Enforcement Administration to issue a proposed rule to remove a drug from scheduling under the Controlled Substances Act within 180 days of a recommendation from the Food and Drug Administration to do so.

Sponsors: Rep. Carter, Earl L. "Buddy" [R-GA-1]

Target Audience

Population: People using or in need of medications under the Controlled Substances Act

Estimated Size: 35000000

Reasoning

Simulated Interviews

Pharmacist (Phoenix, AZ)

Age: 54 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm hopeful that this change will make it easier for patients to receive necessary medications without as many bureaucratic hurdles.
  • There could be challenges initially adjusting to the new rules, but it might streamline operations in the long run.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 9 7
Year 20 9 7

Chronic pain patient (Charleston, WV)

Age: 45 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • If this policy means I can get my medication without so much stigma and hassle, it would improve my quality of life.
  • I'm worried that changes might actually restrict access further if misunderstood.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 7 5
Year 10 8 5
Year 20 8 5

Healthcare Policy Analyst (Boston, MA)

Age: 30 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • This initiative aligns with efforts to modernize drug policy and access to necessary medications.
  • The challenge will be maintaining a balance between access and control.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 8 8
Year 20 8 8

DEA Regulatory Officer (Columbus, OH)

Age: 62 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • I worry that too rapid rescheduling without proper controls could lead to misuse and enforcement challenges.
  • We need time to adapt our procedures to these new changes.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 6
Year 10 6 6
Year 20 6 6

Primary Care Physician (New York, NY)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy might simplify some of the red tape we deal with when prescribing medication, benefiting both patients and providers.
  • I'm cautiously optimistic but worry about unintended consequences like increased scrutiny.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

Patient with anxiety disorder (Dallas, TX)

Age: 36 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • If rescheduling helps reduce stigma and makes access easier, my life quality would improve.
  • I'm concerned that policy changes could initially confuse both patients and providers.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 8 6
Year 10 9 6
Year 20 9 6

Veteran with PTSD (Portland, OR)

Age: 40 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • Making these medications easier to access could really help me manage my symptoms better and live a fuller life.
  • Consistency in supply would improve if these scheduling hurdles were reduced.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 5
Year 5 8 5
Year 10 8 5
Year 20 9 5

Startup founder, digital health (San Francisco, CA)

Age: 28 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • Changes in drug scheduling could open new markets for digital health solutions aimed at medication management.
  • The policy might drive innovation as medication access improves.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 9 8
Year 3 9 8
Year 5 9 8
Year 10 9 8
Year 20 9 8

Retired teacher (Madison, WI)

Age: 65 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm optimistic that easier access will improve my life but worried about the possibility of these drugs being misused.
  • There needs to be a balance between the accessibility of my medications and safeguarding against abuse.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

Pharmaceutical researcher (Chicago, IL)

Age: 34 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy could potentially streamline the process of bringing effective medications to the market.
  • As a researcher, rescheduling might enhance the feasibility of studying certain compounds.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 9 8
Year 5 9 8
Year 10 9 8
Year 20 9 8

Cost Estimates

Year 1: $10000000 (Low: $8000000, High: $15000000)

Year 2: $10000000 (Low: $8000000, High: $15000000)

Year 3: $10000000 (Low: $8000000, High: $15000000)

Year 5: $10000000 (Low: $8000000, High: $15000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations