Introduction to Exposure Assessment Strategies and Statistics (Part 1 Basic Overview)
Exposure Assessment Strategies Committee
Efficient and Effective IH Programs
• A well-rationalized IH program relies on a
thorough understanding of what is known, and
what is not known
• The better the industrial hygienist understands
exposures, the better he or she is able to direct
and prioritize the IH program
2
Exposure Assessment
• The process of defining exposure profiles and
judging the acceptability of workplace
exposures to environmental agents
4
Professional Judgment
• Vital for identifying similar exposure groups
• Necessary for designing sampling strategies
• Essential for judging exposures
• Important for choosing health hazard control strategies
…..but what is “Professional Judgment?”
5
Why is Exposure Assessment
Important?• Growing number of real and perceived risks that
industrial hygiene programs must be prepared to manage
• Programs in the past were less rigorous, now they must be thorough, systematic, well-documented and efficient
Is required by 10 CFR 851, Worker Safety and Health Program, (ref. 851.21, Hazard identification and assessmentand Appendix A6, Industrial Hygiene
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Exposure Assessments
• Exposure Assessments are used to:
– Understand, prioritize, and manage
exposures
– Identify exposures that need better
characterization, or careful routine
tracking
– Focus worker training programs
– Target medical surveillance programs
– Define PPE requirements
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Exposure Assessment
• Exposure Assessment is a judgment (3
categories):
– Acceptable health risk
– Unacceptable health risk
– Uncertain health risk
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Comprehensive Strategy
• Comprehensive strategy: directed at
assessing all exposures for all workers on all
days
• Why? Exposures occur whether we are
there or not!
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EXPOSURE ASSESSMENT STRATEGIES
1. Start2. Basic Characterization3. Exposure Assessment4. Further Information Gathering5. Health Hazard Control 6. Reassessment7. Communications and Documentation
Reminder baseline, surveys, and periodic resurveys and/or exposure monitoring is required "as appropriate" by 10 CFR 851 - Appendix A6
Start
Basic
Characterization (BC)
Exposure
Risk
Assessment
(ERA)
Exposure
Management & Controls
(EMC)
Qualitative
Assessment
Sampling &
Quantitative
Assessment
Applying Correct
Level Of Response
SIMPLIFIED EXPOSURE STRATEGY FLOW
1. Set Decision Criteria
2. Document Qualitative Exposure Judgment
3. Gather Samples Of Exposures
4. Statistical Analysis Of Sampling Data (Quantitative Exposure Judgment)
5. Identify Needed Controls
6. Compare Qualitative And Quantitative to Calibrate/Continuously Improve Judgments.
EXPOSURE DECISION CRITERIA
• Decision Statistic
Decided early in process
Match up with organization’s risk tolerance
Needed confidence in decisions
95th percentile compared to OEL?
UTL 95%, 95%
Higher confidence higher cost, sometimes unattainable
• Occupational Exposure Limits (OEL)
SIMILAR EXPOSURE GROUP (SEG)• Why Use SEG?
• HR Job Title?
• Comparable job tasks
• Agents in work environment
• Work habits
• Machinery
• Engineering controls
• Administrative factors
• Same geographical area?
•Data Driven!!!!!
DATA TO COLLECT FOR BASIC CHARACTERIZATION
• Who, What, Where, When, Why, How
• Who are the employees covered by this assessment
• What job/task/SEG was assessed
• What frequency is the job/task done
• What were weather/environmental conditions
• Where was the job/task located
• Where was equipment
• When: date/time of your assessment
DATA TO COLLECT FOR BASIC CHARACTERIZATION
• Why is the assessment valid/representative of the job/task
• Who, What, Where, When, Why, How regarding Controls and PPE in use
• Document your judgment of the exposure.
AIHA Exposure Category 0-4 Initial Rating & 1-3 Certainty Level
Or 5 by 5 table ranking
Document why/how you reached your judgment
AIHA Categories For Grouping and Prioritization
SEG Exposure Control
Category**
0 (<1% of OEL)
1 (<10% of OEL)
2 (10-50% of OEL)
3 (50-100% of OEL)
4+ (>100% of OEL,
Multiples of OEL; e.g.,
based on respirator APFs)
Your decision is made on where you think the exposure’s 95th
percentile as % of the OEL falls
DATA TO COLLECT FOR SAMPLING & QUANTITATIVE ASSESSMENT
• What type of sample (Personal, Area)
• Was it valid/representative of the job/task
• Was the sample conducted correctly
• What was the job/task
• Where was the job/task
• Date/time of sample
• Length of sample
• Length of shift
• Who was sampled
• Employee activity during sample
• Frequency of job/task
• IH Equipment used
• Weather/Environmental Conditions
• PPE in use
• Document your judgment of the exposure.
AIHA Exposure Category 0-4 Initial Rating & 1-3 Certainty Level
RESULTS FROM INDUSTRIAL HYGIENE SAMPLES
• Results of lab analysis
• What type of analysis was done
• Was it lab void
• Limit of detection
• Was the lab accredited
• Date/time sample sent to lab
• Date/time sample received from lab
How do you plan on getting results into the data management system?
Start
Basic
Characterization
Exposure
Risk
Assessment
Exposure Management & Controls
AIHA’s Systematic
Categorization &
Controls Model
Exposure Management & Control Categories
** - Note: Decisions are made on the exposure’s percentile compared to the OEL at a level that fits the organization’s risk
tolerance level. Decision statistic = 90th, 95th, 99th percentile.
SEG Exposure Control
Category**
Applicable Management/ Controls
0 (<1% of OEL) no action
1 (<10% of OEL) procedures and training,
general hazard communication
2 (10-50% of OEL) + chemical specific hazard communication,
periodic exposure monitoring,
3 (50-100% of OEL) + required exposure monitoring,
workplace inspections to verify work practice controls,
medical surveillance,
biological monitoring,
4+ (>100% of OEL,
Multiples of OEL; e.g.,
based on respirator APFs)
+ implement hierarchy of controls,
monitoring to validate respirator protection factor selection,
% OEL
• Exposure/OEL * 100 = %OEL
• Example 35/100 *100 = 35% OEL
• Can be used to simplify analysis
• Helps normalize data (noise, extended shift)
• Example: Ethyl Bromide
• Using ACGIH TLV 5 PPM as OEL
• Results 1.23 PPM TWA? or
• 24.6 % OEL (Easy to convey results)
Geometric Standard Deviation (GSD)
• GSD helps identify variability in data
• Basic tool to measure if data is similar
• Rule of thumb GSD of 2.5 or greater is overly variable
IH Exposure Judgment Biases• Research shows exposure judgments of IH’s are inaccurate when
statistical tools are not used!
– Judgments biased lower than actual exposure
That means under-protection for workers!
– This fact is Worse when comparison to X95th is used
Welcome to the Dart Throwing Monkey ≥ IH concept
IH EXPOSURE JUDGMENT
• Statistical tools make exposure judgments better
• Use of rules of thumb increase accuracy and decrease bias
• Documenting decision rationale, yields better judgment
• Move from under estimating exposure judgments towards judging the true exposure