Bill Overview
Title: To amend title III of the Public Health Service Act to direct the Secretary of Health and Human Services, acting through the Director of the National Institute for Occupational Safety and Health shall conduct research on programs to educate workplace professionals on the prevention of impairment from the use of cannabis, opioids, and other drugs, and the risks resulting from individuals working while impaired, and for other purposes.
Description: This bill requires the National Institute of Occupational Safety and Health to develop a workplace training program on how impairment from using cannabis, opioids, and other drugs effects job safety and ways to prevent, recognize, and respond to such impairment.
Sponsors: Rep. Owens, Burgess [R-UT-4]
Target Audience
Population: Global workforce professionals and indirectly affected workers
Estimated Size: 40000000
- The bill targets workplace professionals, which includes managers, safety officers, and HR personnel who are responsible for workforce safety and training.
- Research and education on impairment in the use of cannabis, opioids, and other drugs is a concern globally as drug use affects workplace safety universally.
- Drug usage statistics suggest significant portions of populations are affected by drug impairment at work.
- The training program's impact isn't limited to the workforce professionals but indirectly affects all adult working populations in environments where drug impairment could occur.
Reasoning
- The target population consists mostly of managers and HR personnel involved in workforce policies.
- The policy's budget is limited and there are millions in the workforce, so the interviews should reflect a diverse range of perceived impacts.
- Demographics like age, gender, occupation, and location can influence the impact of the policy, as certain areas and sectors may have higher incidences of drug impairment issues.
- It’s critical to include a mix of individuals who are directly in roles related to workforce training and safety, as well as those in regular jobs who could feel indirect effects.
Simulated Interviews
HR Manager (Los Angeles, CA)
Age: 45 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 12/20
Statement of Opinion:
- I think this training is necessary, as drug use in the workplace is a concern, and being equipped to handle it will improve our workplace environment.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 9 | 7 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 6 |
| Year 20 | 8 | 6 |
Construction Supervisor (Austin, TX)
Age: 32 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 10.0 years
Commonness: 10/20
Statement of Opinion:
- This kind of training is overdue. With what I see daily, it will help prevent accidents.
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 | 8 | 5 |
| Year 10 | 7 | 5 |
| Year 20 | 7 | 5 |
Software Developer (San Francisco, CA)
Age: 28 | Gender: other
Wellbeing Before Policy: 8
Duration of Impact: 3.0 years
Commonness: 8/20
Statement of Opinion:
- I don't see much need for this policy in my industry; however, education is always beneficial.
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 | 7 |
| Year 10 | 8 | 7 |
| Year 20 | 7 | 7 |
Factory Worker (Detroit, MI)
Age: 39 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 15/20
Statement of Opinion:
- Training like this could enhance safety, though it may feel unnecessary since it doesn't target workers directly.
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 | 7 | 6 |
| Year 20 | 6 | 5 |
Corporate Trainer (New York, NY)
Age: 50 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 6/20
Statement of Opinion:
- This will definitely improve how organizations handle impairment issues.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 9 | 7 |
| Year 3 | 9 | 6 |
| Year 5 | 9 | 6 |
| Year 10 | 9 | 6 |
| Year 20 | 8 | 5 |
Retired Safety Consultant (Chicago, IL)
Age: 61 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 9/20
Statement of Opinion:
- I've long advocated for targeted training programs like this. It's crucial for modern safety standards.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 5 |
| Year 20 | 7 | 5 |
School Principal (Columbus, OH)
Age: 45 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 3.0 years
Commonness: 8/20
Statement of Opinion:
- Indirectly insightful, though schools aren't typically associated with such programs, awareness could have community impacts.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 6 | 6 |
Healthcare HR Specialist (Seattle, WA)
Age: 34 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 7.0 years
Commonness: 7/20
Statement of Opinion:
- I see the value in this training. Understanding impairment can lead to better patient care environments.
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 | 8 | 6 |
| Year 20 | 7 | 5 |
Barista (Nashville, TN)
Age: 27 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 0.0 years
Commonness: 14/20
Statement of Opinion:
- This doesn't really pertain to my role, but it could help my managers handle situations better.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 5 | 5 |
| Year 3 | 5 | 5 |
| Year 5 | 5 | 5 |
| Year 10 | 5 | 5 |
| Year 20 | 5 | 5 |
Operations Manager (Denver, CO)
Age: 55 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 7.0 years
Commonness: 10/20
Statement of Opinion:
- I like the idea, but execution will determine success. We've seen similar programs fail due to inadequate follow-through.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 7 | 6 |
Cost Estimates
Year 1: $50000000 (Low: $40000000, High: $60000000)
Year 2: $45000000 (Low: $35000000, High: $55000000)
Year 3: $40000000 (Low: $30000000, High: $50000000)
Year 5: $35000000 (Low: $25000000, High: $45000000)
Year 10: $30000000 (Low: $20000000, High: $40000000)
Year 100: $10000000 (Low: $5000000, High: $15000000)
Key Considerations
- The adaptability of training programs to different industrial sectors is crucial for effectiveness.
- Long-term savings are contingent upon successful implementation and adherence to the training outcomes.
- Collaboration with private sector stakeholders could optimize resources and increase program reach.