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Refining the Exposure Assessment Decision Making Using Quantitative Data

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Title: Refining the Exposure Assessment Decision Making Using Quantitative Data


1
Refining the Exposure Assessment Decision
Making Using Quantitative Data
  • S. Smallets Jr., MS, CIH
  • NAVMEDCEN Portsmouth

2
Exposure Assessments Central Role
A Strategy for Assessing and Managing
Occupational Exposures 1998 Fig 1.1 pg 3
3
AIHAExposure Assessment Process
OPNAVINST 5100.23F Chapter 8
A Strategy for Assessing and Managing
Occupational Exposures 1998
4
Figure 5.1
Defining and Judging Exposure Profiles
Basic Characterization
Environmental
Workplace
Workforce
Agent
Information
Information
Information
Establish Similar Exposure Groups
Exposure
Define Exposure Profile
Select/DefineOELs
Assessment
Compare
Exposure Profile
OEL and its Uncertainty
and its
Uncertainty
Acceptable
Uncertain
Unacceptable
A Strategy for Assessing and Managing
Occupational Exposures 1998
rjoe\expopros.ppt
5
Define Exposure Profile
  • Characterization of the day to day variability of
    exposure levels for a SEG
  • Requires an estimate of exposure levels and
    variability
  • Quantitative (6-10 samples)
  • Point estimates i.e. means, standard deviation,
    percentiles confidence limits
  • Qualitative
  • Knowledge, experience

pdf
6
Judging Exposures
  • Following the definition of the exposure profile
    and selection of OEL
  • SEG must be judged acceptable, unacceptable
  • Resolved by comparing profile with OEL

A Strategy for Assessing and Managing
Occupational Exposures 1998
7
Focus on Upper-percentile or Mean ?
95ile
UTL
0.014
AM and UCL
0.012
OEL
LTA-OEL
0.01
0.008
0.006
0.004
0.002
0
0
50
100
150
200
250
300
Concentration
8
Criteria for assessing exposures (NIOSH 77-173
Occupational Exposure Sampling Manual)
  • Employer should have high confidence that a high
    percentage of exposures are below the standard
  • The employer should try to attain 95 confidence
    that no more than 5 of employee days are over
    the standard
  • Philosophy driving development of 50 Action
    Level (AL)

9
Focus on upper tail --95th percentile and UTL
95,95
95th Percentile Point Estimate
0.014
UTL95,95
0.012
OEL
0.01
0.008
0.006
0.004
95 Certain that 95 of the exposures are less
than this concentration
0.002
0
0
50
100
150
200
250
300
Concentration
10
IHFOM Exposure ClassificationsAcceptable-
UTL95,95 ltOEL
UTL95,95
0.014
95ile
0.012
OEL
0.01
0.008
0.006
0.004
0.002
0
0
50
100
150
200
250
300
Concentration
11
IHFOM Exposure Classifications Unacceptable-
UTL95,95 gt OEL
95ile
UTL95,95
0.014
OEL
0.012
0.01
0.008
0.006
0.004
0.002
0
0
50
100
150
200
250
300
Concentration
12
IHFOM Exposure Classifications Unacceptable-
UTL95,95 gt OEL but 95 ilelt OEL
0.014
95ile
UTL95,95
0.012
OEL
0.01
0.008
0.006
0.004
0.002
0
0
50
100
150
200
250
300
Concentration
13
Examples 95th tile lt OEL and UTL gt OEL
- UG
14
Calculation of 95th Percentile and UTL 95,95
15
Tolerance Limits
  • Tuggle, R. M. Assessment of Occupational
    exposure using one-sided tolerance limits Am.
    Ind. Hyg. Assoc. J (43) 338-346 (1982)
  • Proposed EA scheme using UTL95,95
  • Proposed how to proceed when UTL95,95 gt OEL but
    95 ilelt OEL

16
Comparison of Z and K
  • Z
  • 95th percentile1.645
  • K
  • Depends on sample size
  • N 4 K 7.655
  • N 6 K 3.707
  • N 9 K 3.031
  • N10 K 2.911
  • N50 K 2.065

17
Test Statistic
Test Statistic represents how many sample
standard deviations the sample mean is from the
OEL
18
Comparison of Z to K
Test Statistic represents how many sample
standard deviations the sample mean is from the
OEL
Tuggle, R. M. Assessment of Occupational
exposure using one-sided tolerance limits Am.
Ind. Hyg. Assoc. J (43) 338-346 (1982)
19
Decision Criteria
A- Acceptable B- Unacceptable C- Future
Acceptable D- Acceptable
Tuggle, R. M. Assessment of Occupational
exposure using one-sided tolerance limits Am.
Ind. Hyg. Assoc. J (43) 338-346 (1982)
20
One Side Tolerance Limits Decision Scheme
Tuggle, R. M. Assessment of Occupational
exposure using one-sided tolerance limits Am.
Ind. Hyg. Assoc. J (43) 338-346 (1982)
21
How many more samples?
  • Sanding SrCrO4
  • OEL 0.5
  • N6
  • GM0.05
  • GSD2.119
  • 95th 0.18
  • UTL0.9

N 9 K 3.031 N 10 K 2.911 N50 K 2.065
22
Applied to all examples
ug
23
Suggestions
  • Use 95th ile as decision point
  • Use UTL as a measure of certainty in point
    estimate
  • When 95thile ltOEL and UTL gt OEL
  • Base decision on 95th percentile rather than UTL
    and classify as acceptable
  • Determine how many samples to get TSgtK
  • If reasonable consider obtaining the samples
  • Use of UTL may require more than 6-10 samples
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