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Report Prepared for
In response to Contract No. B9F91522
Electronic Edition
March 1999
Addendum:
Demonstration to Test Planned Programmed Inspection Effectiveness 38
Appendix 1: Summary of Data
Appendix 2: Agenda for Site Visit to CRA (not included in electronic
edition)
Appendix 3: Protocol for Interviews (not included in electronic
edition)
Appendix 4: Literature Reviewed (not included in electronic edition)
Background:
This study was solicited by OSHA to provide a critical review of the current
system for scheduling random inspections in the construction industry,
known as planned programmed inspections. These inspections are one of
two ways that OSHA enforces the law and regulations for occupational safety
and health, and are inevitably compared to the other approach, known as
unprogrammed inspections, which involve inspections of employers based
on cause.
The current system for planned programmed inspections was developed in
1988 in response to a Supreme Court ruling and a report from the Department's
Inspector General. This system uses national data on anticipated or active
construction projects from F.W. Dodge and selects projects for inspection
using a model administered by Construction Resources Analysis (CRA) at
the University of Tennessee. The area offices receive monthly lists of
inspection targets selected at random by CRA and meeting certain criteria
specified by the OSHA national office and the area offices.
There is a tradeoff between neutrality and inspection effectiveness as
measured in terms of violations and penalties. The planned programmed
inspections, based on neutral selection of inspection targets, are bound
to produce "less inspection bang" than the unprogrammed inspections that
are based on cause. In the literature on inspection systems, a central
issue is how to compare random inspections directed at all subjects to
"for cause" inspections directed at likely "bad actors." Is one system
better than the other, and can one exist without the other and still be
equally effective?
We based this study on the available technical literature, inspection
data obtained from OSHA's Integrated Management Information Service (IMIS),
a site visit to the CRA facility in Knoxville, and structured telephone
interviews with senior staff in the national office, five regional offices
and 11 area offices.
Findings: We heard an unusually wide range of opinions in our interviews
with OSHA field managers. There are those who think the planned programmed
system is worthless. Others think the current system is excellent.
We found the truth to lie somewhere in between.
There is an institutional ambivalence about the planned programmed inspections
throughout the Agency. Many field managers think they take too many resources
and produce too few results. At the same time, most OSHA field managers
agree that the Agency needs some type of random inspection system to establish
OSHA's presence and to act as a deterrent to all employers. But how that
should be accomplished and what portion of the Agency's inspection resources
it should occupy has not been addressed, and that's part of the problem.
We found that the
IMIS data have many deficiencies that raise questions about their validity
in assessing different types of inspections. Based on IMIS, we found that
the Agency performs planned programmed inspections on fewer than 2,000
construction sites per year. Of the sites assigned to the area offices,
less than 14 percent are inspected. What happens to the rest is anybody's
guess.
Planned programmed inspections result in 25 percent fewer violations and
penalties per inspection than the average for all types of OSHA construction
inspections. But they also take 25 percent less time to conduct.
Field managers expressed many valid criticisms about the existing system,
including deficiencies in the Dodge data and the CRA schedules. Those
deficiencies do not outweigh the benefits of both the Dodge data and the
CRA modeling. There are inherent problems in anticipating when a construction
project is going to be active or not, and the smaller the project the
less confidence there is in the scheduling. Thus the current system works
best for larger construction projects and therefore selects larger employers
too often.
A number of area offices demonstrate that planned programmed inspections
can be performed in ways that minimize resource waste due to inactive
sites. At least one area office has found a way to use CRA to get at the
most hazardous employers. At the same time, other area offices have a
poor understanding of the system and how to make best use of it.
Recommendations: Planned programmed inspections are important,
but the Agency needs to redefine their role and establish more clearly
the expectations it has about their role. It should give the area offices
more leeway to devise their own planned programmed inspection systems,
but in order to do so the national office needs to establish better procedures
for the review of proposed systems and the ongoing monitoring of implementation.
The IMIS system needs to be reviewed in terms of data entry. While this
system in all likelihood is accurate in some of the key respects, classification,
coding and data entry about inspection type is woefully lacking in quality
control. It is also critical that inspectors file reports on all inspections
of construction sites, even where the site turns out to be inactive, and
a short reporting form should be developed for this purpose.
F.W. Dodge provides the only national data base on construction activities
and OSHA should continue to use it. The CRA contract is a very good bargain,
but the Agency should find ways to make better use of its resources to
evaluate the effectiveness of the construction enforcement program. In
particular, it should use CRA's expertise to characterize the industry
for each area office jurisdiction in terms of risk profiles, and then
compare inspection activity as reported in IMIS against these profiles.
To ultimately test the value of the planned programmed inspections, we
have outlined a possible three-year demonstration to evaluate different
inspection systems.
There are number of immediate steps the Agency can take to improve the
planned programmed inspection system, mainly by providing more information
about how area offices can use the system, communicating solutions that
area offices have developed by establishing an internal web site for this
purpose, developing a self learning program for area office staff, and
providing progress reports at all regional conferences for area office
managers.
Many people assisted in this project. At the national office, Bruce Swanson,
Berrien Zettler, John Franklin and Joe DuBois provided extensive information.
The IMIS staff performed numerous data runs. The staff of the Construction
Resources Analysis at the University of Tennessee were very helpful in
accommodating a site visit, providing extensive information, and conducting
a field validation study of the construction schedules in the Knoxville
area. Most importantly, we thank the many hard working people we talked
to at regional and area offices for their interest, time, patience and
expertise.
1.1
The Scope of This Study
The contract for
this study1 calls for a critical examination of the current
construction inspection scheduling process. In a post-award meeting with
Bruce Swanson, Director of the Directorate of Construction and his deputy,
H. Berrien Zettler2, two key questions were identified for
study: 1) does the existing approach achieve the most optimal selection
of employers for inspection? and 2) can or should an improved system be
devised?
It was agreed that
the report would focus on whether the Agency could improve the effectiveness
of its programmed construction inspections while maintaining the neutrality
required by the courts, and that the evaluation would concentrate on three
areas:
- An analysis of
Marshall v. Barlow's, Inc.3 with the aim of defining
more clearly what criteria OSHA should use to select employers for programmed
inspections to meet the two objectives of 1) showing fairness to all
employers while 2) optimizing the safety and health effectiveness of
the programmed inspections. This analysis was to include OSHA's consideration
of these objectives in Directive CPL 2.251 - Scheduling System for
Programmed Inspections and the Interim Directive for Inspection Targeting.
- An assessment
of the quality of Dodge data and University of Tennessee methodology
with the aim of understanding the extent to which this approach meets
both the fairness and effectiveness objectives, and whether improvements
can or should be made. This assessment was also to consider whether
there are other uses of the Dodge data and University of Tennessee expertise
in analyzing those data for purposes of better evaluating the performance
of OSHA's construction safety and health programs.
1On October
23, 1998 OSHA's Directorate of Construction issued a professional services
contract to Dr. Knut Ringen with the following tasks: a) Assess the efficacy
of the Dodge report data with a survey of selected OSHA field offices; b)
Assess the University of Tennessee program to develop construction inspection
schedules; c) Propose alternative inspection scheduling methodologies; and
d) Evaluate the data developed by the University of Tennessee and make recommendations
as to how these data might be used to predict trends and other measures
of construction. The schedule to deliver the final report was extended by
one month due to the need for more data analysis than anticipated and the
completion of a field validation study of the CRA model.
2At OSHA, Washington D.C. Nov. 10, 1998
3429 US 1347,97 S. Ct. 776(1977). Here after referred to as Barlow's.
- An assessment
of how the OSHA area offices select employers for programmed inspections
in real life, the extent to which these practices rely on the Dodge
data/University of Tennessee methodology, and where area office practices
deviate from this system, how well they meet the combined objectives
of fairness and effectiveness. This assessment was also to examine whether
a protocol could be developed to enable area offices greater latitude
in their approaches to selecting employers for scheduled inspections
where use of local resources make this possible, while ensuring that
such approaches are consistent with Barlow's. This part of the
project was to entail telephone interviews with regional administrators
and area office directors.
1.2
Approach To Study
The study has relied
on the following approaches.
Review of Available
Materials. We have collected available literature, interpretations
and directives, and studies and opinions from within the Agency, including
its headquarters and field offices, as well as from outside the Agency.
Collection of
Data. We have obtained an extensive amount of data from the Agency's
headquarters as well as field offices. These data are preliminary, and
we were not able, within the time and resources available for this project,
to assess their validity. Data reported here are combined for FY 1996-98
unless otherwise indicated. We included Federal OSHA inspection data only,
and omitted all data from Regions VIII, IX and X because they primarily
cover state OSHA plans. In addition, the University of Tennessee's Construction
Resources Analysis (CRA), which is a subject of this study, offered to
conduct a field validation of the scheduling model in the Knoxville area.
Key data are summarized in Appendix 1.
Site Visit to
CRA. We made a full day visit to the University of Tennessee to assess
the facilities and staff of CRA, and to review the quality of its performance.
H. Berrien Zettler represented the Agency.
Interviews with OSHA Field Offices. We performed telephone interviews
with a total of 5 regional offices and 11 area offices. These interviews
were guided by a standardized protocol, and lasted between 30 minutes
and 1 hour and 15 minutes..
1.3
Key Terms
Certain terms are
used throughout this report. While these terms are commonly used within
the Agency, there are inconsistencies in interpretation or use of these
terms. Therefore, we have developed the following informal definitions
to describe how we use these terms throughout this report.
Construction Inspection.
This is an inspection of an employer engaged in a construction activity.
It is important to understand that today, a construction inspection inside
OSHA is not defined as a visit to a construction site, and data on inspections
do not reflect the number of construction sites visited, but rather reflect
the number of employers on the sites visited.
Programmed
Inspection. This refers a comprehensive inspection in most cases,
in a high hazard industry, which includes by definition construction,
where some type of administrative procedure that is systematic and neutral
is used to select the target for the inspection.. This refers to programmed
inspections in construction that use one of two categories of approaches
to selecting worksites:
Planned Programmed
Inspection. This refers to programmed inspections in construction
that use one of two categories of approaches to selecting worksites:
Scheduled
Inspections. These are planned programmed inspections that use
the F.W. Dodge/CRA scheduling system developed by the national office.
SEP Inspections. These are Special Emphasis programmed inspections
that may have been developed by the national office, the regional
offices or the area offices and are directed at a special problem
(e.g., fall protection).
3In this
report, an inspection means a "safety" inspection. We have not
included health inspections, which are rare in construction.
4On this point Agency policy is consistent. There is continuous
and sometimes confusing intermixing of the terms worksite, employer and
establishment. On the one hand, inspections are directed at establishments
(i.e., employers), because in general industry establishment and
worksite usually involve the same controlling entity. On the other hand,
the Agency specifies that because of the transient nature of construction,
worksites are to selected for programmed inspections rather than employers,
and uses the term employer rather than establishment. OSHA Directive
CPL 2.251 - Scheduling System for Programmed Inspections, section B.1.b.(2)
Unprogrammed Inspections.
These are inspections resulting from imminent dangers, fatalities or serious
injuries, complaints or referrals.
Inspector.
This refers to an OSHA official who inspects construction sites. For
purposes of this report, an inspector is the same as a CSHO. In this
report, which focuses on safety (as opposed to health), we report data
per inspector using as the denominator all safety inspectors in the
regions.
Field Manager.
This a director or other senior official in OSHA's regional offices
and area offices.
Violation.
This is the finding by an inspector that an employer has failed to meet
his or her responsibilities under the OSHAct and related regulations.
Penalty.
This is the monetary fine which the Agency issues pursuant to a violation.
5The SEP
inspections pose a classification problem. Most of the SEP inspection targets
are CSHO referrals, and these should not be classified as planned programmed
inspections. Nevertheless, they usually are.
The idea behind the
planned programmed inspections is that any employer anywhere in the construction
industry is a possible candidate for an OSHA inspection. In theory, planned
programmed inspections give the Agency a presence throughout the industry,
and by doing so act as a deterrent against hazards on the job.
2.1
What Barlow's Says
In 1977, the US Supreme
Court issued its ruling Ray Marshall v. Barlow's, Inc.6
The thrust of Barlow's is to prevent unbridled use of government
power and discretion, and specifically to prevent practices based on prejudice.
Thus, the Court required that to conduct an inspection of an employer without
a showing of probable cause, OSHA would need to show that the employer was
selected for inspection based upon a reasonable administrative decision
process using "specific neutral criteria."
We read the requirement
for "specific neutral criteria" as a means of preventing actions
based on prejudice. We believe, however, that the decision still allows
OSHA full authority to discriminate between classes of employers--e.g.,
by weighing high hazard activities. The decision does not require the
Agency to blindly select its targets from all employers in an industry,
and therefore does not equate "neutrality" with "randomness."
Just as the Agency
has classified construction as a high hazard industry, it is perfectly
legitimate for OSHA to classify certain segments of the construction industry
as high hazard construction activities as long as there is a reasonable
basis for doing so. Such classifications can include certain kinds of
construction projects that involve a high risk of a specific hazard, such
as falls or electrocutions; or work under certain conditions that pose
high risks, such as highway or bridge work; or it can include certain
employers specializing in hazardous work, such as roofers or crane operators;
or certain classes of employers with high injury or illness risks, such
as employers below a certain size. In other words, rather using the universe
of construction as the sampling frame, OSHA can stratify the universe
into many smaller sampling frames and select from them using a neutral
methodology.
In 1987, the Department
of Labor's Office of Inspector General issued a report finding that the
Agency was not in compliance with Barlow's, and instructed the Agency
to develop new policies and procedures7.
6The author
of this report is not a lawyer, and as a result, is not qualified to render
a legal opinion concerning permissible practices under Ray Marshall v.
Barlow's, Inc., 429 US 1347, 97 S. CT 776 (1977). What is presented
here is our oversimplified interpretation of a complex issue argued by specialists
over decades.
7Office of Inspector General. Special Review of OSHA Enforcement
Activities. Report No. 02-6-028-10-105, Sept. 11, 1987.
2.2 How the Current System is Supposed to Work
A new system for planned programmed inspections was originally developed
by the Agency in 1988 and subsequently refined. It has three basic elements:
a. The F.W. Dodge
Data Base
The F.W. Dodge Company
conducts a regular survey of planned construction in the US and provides
its data base to customers for a variety of purposes. The US Department
of Labor contracts with F.W. Dodge to deliver the Dodge report on a monthly
basis.
b. The CRA Analysis
Each month the Dodge
report, which is an electronic data file, is transmitted by OSHA to the
CRA. CRA has developed an econometric model which it applies to the Dodge
data to produce and maintain a data base of all active projects for their
estimated duration, and to prepare a list of projects based on a random
sample of all construction in each of OSHA's area office catchment areas
based upon criteria set by the national office and local criteria set
by many area offices. This list of selected projects is sent to each area
office each month.
c. The Area Offices
The area offices may
make certain exceptions to this system in order to accommodate local conditions.
The area offices may request that CRA apply certain default (or deletion)
features, such as the size of project, or type of project, or geographic
emphasis area. They may also request a change in the number of assigned
construction projects if they are short on inspection personnel or if they
have unused inspection capacity that they would like to fill. Such defaults
or special requests must be approved by the regional or national offices.
If the area office finds it cannot complete all the inspections on the list,
they may be carried over to the next month or they are returned to CRA at
the end of the month to be reentered into the universe from which the random
selections are made9.
8A description
of the current system is in The OSHA Construction Inspection System and
How It Works. (Unfortunately, this document, which is undated and does
not identify the sponsoring office, has a cover sheet with the title OSHA
Construction Information System.)
2.3 The Tradeoff Between.
9There are detailed directions that the area offices should follow
to comply with the system. See OSHA Directive CPL 2.251 - Scheduling
System for Programmed Inspections, section B.1.b (2)
2.3
The Tradeoff Between
eutrality and Effectiveness
The dispute about
the planned programmed inspections centers on whether they represent a
good use of the Agency's time and resources. There is a very clear conflict
and tradeoff between the objective of achieving neutrality in the selection
of inspection targets and the objective of maximizing Agency effectiveness,
defined (in the absence of better measures) as the number of violations
and the amount of penalties issued per inspection.
By definition, an
unbiased system will yield a less satisfactory end result than a system
that is designed to be biased in such a way that it maximizes the end
result. OSHA defines the end result as average number of violations or
size of penalties resulting from the inspections. Under this definition,
planned programmed inspections, which are based on a neutral selection
of inspection targets, are inherently bound to yield lower returns than
unprogrammed inspections which are based on cause.
If, on the other
hand, OSHA were to define the end result as injury and illness rates in
the industry, it would be possible to compare the impact of enforcement
strategies based on "unbiased" selection v. "biased"
selection. Unfortunately, the Agency does not collect data to allow this
comparison.
2.4 Tradeoff Considerations
There is nothing
in the law that says that OSHA has to perform planned programmed inspections.
OSHA could rely on "for cause" inspections entirely. This simple
tradeoff leads to a number of considerations:
- Given that programmed
inspections will result in lower returns in terms of violations and
penalties, are they worth conducting?
- If the planned
programmed inspections are worth conducting, which approaches should
the Agency adopt to maximize its use of inspection resources?
- Under optimal
resource use conditions, what proportion of the total construction inspections
should be devoted to planned programmed inspections?
In our interviews with
OSHA field managers, we heard an unusually wide range of opinions. There
are those who think the current system that governs planned programmed inspections
with its reliance on F.W. Dodge and CRA, is worthless. At the same
time, others think the current system is excellent. Such a wide divergence
of opinion in a well-informed group usually indicates a lack of factual
knowledge.
In order to attempt a factual analysis of the planned programmed inspection
system (see section 6) we asked OSHA to supply us with data from the OSHA
Integrated Management Information Service (IMIS) according to our specifications.
While we have used these data as the basis for this assessment, we have
very serious doubts about the quality and reliability of the data. Our doubts
have been reinforced by the interviews we conducted with the field managers.
Although an evaluation of data validity was beyond the scope of this project,
we found glaring problems in the data we received.10
10IMIS is
a very important data base. It is used to justify OSHA's existence and budget,
for Congressional oversight, and to evaluate performance and set Agency
priorities. See US Department Of Labor. Twenty Years of OSHA Federal
Enforcement Data, January 1993. Our analysis was limited to comparing
the impact of different types of inspections, and the findings presented
here do not address the quality of the underlying key enforcement data,
such as reliability of employer identification, types of violations, and
penalty amounts.
3.1
Inconsistencies
The IMIS data do
not appear to be internally consistent. This means that it is not possible
to relate one data query to another with reliability:
- There were differences
in numbers for identical categories between runs of the same data for
the same time periods if the data query was posed differently. For instance,
we have received three different numbers for "total construction
inspections" for FY 96-98.
- According to
the area office director, the total number of planned programmed inspections
reported by IMIS for FY 98 for one area office was double the actual
number of inspections performed.
3.2
Omissions
The data system omits
certain data that are critical to making a meaningful assessment of OSHA's
effectiveness:
- There is no reliable
information on construction sites which are visited but are inactive
at the time of the visits. Therefore, we do not know what the actual
rate of construction sites being inactive at the time of the scheduled
inspection, or if it differs much for different types of inspections,
such as planned programmed v. complaint inspections.
- Although we requested
it, we were not able to get data for the planned programmed inspections
with a Dodge number. Therefore, we do not know exactly what percentage
of planned programmed inspections involved sites selected from the Do100dge/CRA
system.
- The system provides
insufficient data on each construction site to make meaningful comparison
to industry characteristics, and does not have a denominator for either
construction activity or injury and illness rates. Therefore OSHA has
no way in which to measure impact on safety and health outcomes.
3.3
Classification
We heard too many
conflicting uses of basic terms by OSHA field staff, which must lead to
significant deficiencies in the IMIS data base. We were also told, quite
frankly, that inspections could be classified to meet some management
objective, even if this resulted in an erroneous classification of the
actual inspection activity. Among a large number of classification problems,
the following are particularly significant:
- Special emphasis
inspections are classified as either program or unprogrammed inspections.
- CSHO referrals
are classified as either programmed or unprogrammed inspections.
- "Related"
inspections (whether programmed- or unprogrammed-) is a grab-bag of
different situations. "Related" accounts for 25% of all programmed
inspections. Many program-related inspections are actually unprogrammed
inspections resulting from a drive-by CSHO referral.
- Although focused
inspections are only to be used as part of programmed inspections, roughly
4% of all unprogrammed inspections are classified as focused inspections.
3.4
Data Entry
We have reason to
believe that data entry may be unreliable. We were told that many inspectors
leave data entry to clerks in the area offices without providing sufficient
guidance in terms of which classifications to fill in.
3.5
Quality Assurance
Area offices told
us that there are no data auditing or quality control procedures, such
as edit checks or other manual or automated systems to verify or quantify
data errors in the system. It is our understanding that OSHA once did
perform quality checks, but discontinued the practice for budget reasons.
3.6
Data Analysis
The system does not
seem to be set up to answer many obvious policy questions. We asked twice
for data to compare the rate of violations and the amount of penalties
in programmed and unprogrammed inspections. Special data runs were required
for this basic information, and we did not received what we asked for.
We have considered
the Dodge data base from this perspective: Does it produce a sufficiently
valid universe of all construction to provide a sample that will act to
maximize the safety and health impact from the inspections performed on
the sites selected from it?
In 1992 Meridian Research,
Inc. performed an assessment of the Dodge data files for OSHA's Office of
Statistics11. The aim was to determine whether the Dodge data
provide a fair representation of the construction industry as a whole, and
whether there were alternative sources of data available to the Agency from
which it could select construction projects for planned programmed inspections.
We have not attempted to replicate the Meridian work, which serves the purposes
of this study adequately. It found that Dodge in general provides an adequate
universe, and that there is no equivalent alternative to it12.
11Meridian
Research. Review of Coverage Issues Related to the Universe File used
by OSHA for Construction Inspection Targeting . OSHA: Office of Statistics,
Sept. 30, 1992.
12When Meridian reviewed this issue in 1992, it considered an alternative
data base called CMD (Construction Market Data.) At that time, CMD covered
only 22 states and was not automated. It does have some features that may
be an advantage over Dodge, particularly in the scheduling of projects,
including updated start-dates. However, based on our interviews at CRA,
it is still not a national data base.
4.1
Is Underreporting a Problem?
Dodge does not include
one and two family housing or any construction projects under $50,000.
It under-reports farm and rural construction, as well as construction
performed by in-house employees in large general industry enterprises.
It is estimated that this leaves out 18% of construction from the universe
of construction activity in the US However, for the purposes of the planned
programmed inspections, these are not significant issues:
- Construction
projects under $50,000 are so small that they are likely to be only
one or two-man jobs, that may last only a couple of days. Therefore,
they are impossible to schedule with any degree of reliability. Besides,
much of this work is likely to done by employers with fewer than 11
employees, and they are exempted from planned programmed inspections.
- Most agricultural
work is exempted from the OSHAct.
- In-house force
construction is covered by OSHA in its general industry inspection program.
4.2
Views of the Field Managers
In our interviews with
the field managers, they expressed general satisfaction with the Dodge data.
They noted that there were problems with the start dates of projects at
times, that it seemed that large private bid projects were left off the
Dodge lists,13 and that public construction, such as schools
seemed to be over-represented14. They also said that it is sometimes
difficult to locate construction projects based on the addresses provided
in the Dodge slips, since Dodge reports projects by county and does not
include zip codes.
13It is
likely that the large projects are simply not picked because they are rare
in the Dodge file. In 1991, projects worth more than $1 million represented
only 16 percent of the Dodge universe, while projects between $50,000 and
$199,000 represented half of the universe. That means that in a truly random
system, the probability of a project over $1 million being selected is one
third the probability of a project less than $200,000 being selected. It
is likely that the kind of project a field Manager has in mind as a "big
project" is represented14. They also said that it is sometimes
difficult to locate construction projects based on the addresses provided
in the Dodge slips, since Dodge reports projects by county and does not
include zip codes.
14The impression that public projects such as schools are over-represented
was not shared by all managers, and some refuted it. It is important to
keep in mind that school construction is currently very active.
CRA has been awarded
the contract to analyze the Dodge data for OSHA since 1988. During this
period the contract has been competitively resolicited twice with the
CRA as the only qualified bidder. The current contract is for three years
and is half-way completed.
We assessed CRA
for the following characteristics: the qualifications of the staff; the
quality of the work performed; the adequacy of the facilities and equipment;
the cost of services performed; and institutional support provided to
CRA by the University setting. Based on our experience in evaluating numerous
university research programs, it was clear that CRA has a very good team
atmosphere and provides a good setting for this activity. The staff was
very well prepared for the site visit.
5.1
Quality of the Staff
We found the staff
to be highly qualified, with a good mix of experience and disciplines,
including economics, engineering and safety and health. The co-directors
have a wealth of experience between them, but they are approaching retirement
age. The other staff provide a very solid "second-tier" that
assures continuity. There is very little turnover in the staff, and it
is quite evident that each staff member is fully capable of performing
his or her duties with a minimum of supervision.
5.2
Quality of the Work Performed and Validation of the Model
We reviewed current activities and also obtained reports prepared by CRA
in the past. The site visit demonstrated that the staff know the subject
matter thoroughly and were able to answer all questions promptly and accurately.
We are not qualified experts in econometrics, and therefore we cannot
assess the accuracy of the model used to estimate construction schedules,
but within our areas of competence we found the work performed to be of
high quality.
There is an a
priori problem in the model which both CRA and OSHA acknowledge. This
model cannot predict with accuracy construction schedules for projects
below $200,000, and works best with larger projects. This leads to the
exclusion from the inspection schedule the kind of projects that are likely
to pose some of the highest safety and health risks.
Field managers who
are critical of CRA generally focus on deficiencies in the construction
schedules, and believe that the CRA lists include too many inactive sites.
Validations of the Dodge data that have been performed by CRA at OSHA's
request on two occasions in the past found that the planned start date
corresponded to the actual start date for all construction except public
non-building construction, which can have a significant lag time. These
analyses also found that estimates of duration were valid provided that
the start date was estimated correctly15.
The earlier studies
did not involve on-site verification of the validity of the schedules projected
by CRA based on the Dodge data. In response to our concerns about the rate
of inactive sites, the CRA staff offered to design and conduct a field study
of all construction sites that were randomly selected by their model in
the Knoxville, TN, Metropolitan Statistical Area. The aim was to determine
how well actual construction corresponded to their projected schedules.
This survey was conducted during the first week in March, 1999, and found
that of 36 sites on the list, 30 (91.7%) were active when they visited them,
and the three inactive sites showed evidence of ongoing construction activity16.
They also found that it took 16 hours of staff time to drive around the
area to survey each of the sites on the list17.
15Construction
Resources Analysis. Estimating Construction Duration. OSHA, Office
of Statistics, March, 1997.
16 According to the authors they "...precisely followed
the standard operating procedure outlined in OSHA's contract with [CRA]...We
selected for site visit all building or heavy projects (single family housing
and highway-road-paving projects were excluded) with a contract value of
$950,000 and higher which we estimated to be between 30 and 60 percent complete
this month." See letter to J. Dubois and H.B. Zettler fromW.R. Schreiver
dated March 15, 1999. We have not attempted to validate the selection procedure,
the field study procedure, or the findings. We were sent a notarized affidavit
affirming the design and results signed by T.E. Cressler II and W.R. Schreiver
as well as photos of each site visited. It should be noted that the threshold
of $950,000 while in accordance with policy, would tend to make scheduling
more reliable than would be the case if smaller volume projects were included.
17W.R. Schreiver. Personal communication in telephone interview with
K. Ringen dated 3/12/99.
5.3 Adequacy of Facilities
The CRA has adequate,
although very spartan physical facilities, and state-of-the-art equipment.
There is no wasted overhead.
5.4
Budget
OSHA's contract with
CRA, including indirect costs, is about $170,000 per year, which is very
reasonable in comparison to the amount of work done. In our cost effectiveness
assessment (see section 6.3(c)), it seems clear that CRA is very good
bargain for the Agency in terms of the work that it is assigned.
5.5
Institutional Support
It is important for
OSHA that CRA receives strong institutional support from the University.
As near as we can tell, the University is committed to helping sustain
CRA, as evidenced by:
- CRA staff works
closely with a number of academic departments, including economics and
engineering. It gets assistance on special issues from faculty members
when necessary. It gets graduate students from these departments to
work on studies that are important to OSHA. This provides OSHA with
inexpensive research assistance, and also potential candidates to enter
the field of construction safety and health, which is greatly needed.
- University overhead
is very reasonable in comparison to most universities, and enables more
of OSHA's contract dollars to be spent for program purposes.
- The University
helps fund a number of related activities at CRA, including the recently
performed field study of the inspection schedule in the Knoxville area.
6.1
Inspection Volume
OSHA performs roughly
18,000 construction inspections per year18. Of these about
6,000-7,000 inspections per year (38% of total) are planned programmed
inspections. OSHA estimates that it inspects 3-3.5 employers during each
visit to a construction site, and each is recorded as an individual inspection19.
Thus, OSHA performs planned programmed inspections on 2,000-2,300 construction
sites each year.
Table 1 provides a more
detailed breakdown of site assignments and number of sites visited for programmed
inspections in a typical month in each region. The University of Tennessee's
national probability sample calls for OSHA to inspect roughly 1,250 construction
worksites each month. However, based on the IMIS data provided us, the Agency
only conducts planned programmed inspections on a total of roughly 180 sites,
or 14% of the assigned sites, and in Region III only 6% are inspected. Furthermore,
included among these are a number of Special Emphasis inspections.
18This inspection
volume is for the most recent years. A decade ago, OSHA used to do over
30,000 construction inspections.
19Per John Franklin, OSHA's Directorate of Construction and Joseph
DuBois, OSHA's Office of Statistics.
Table 1
Average Number of CRA Assignments
Average Number of Construction Site Visits for Planned Programmed Inspections
Average per Month for FY 1996-98 By Region
| |
Region
|
Total
Regions I-VII
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| CRA
Assignments |
115
|
182
|
297
|
196
|
209
|
206
|
29
|
1234
|
| Planned
Programmed Site Inspections |
12
|
23
|
19
|
18
|
59
|
37
|
7
|
175
|
| Site
Inspections as % of Assignments
|
10%
|
13%
|
6%
|
9%
|
28%
|
18%
|
24%
|
14%
|
Construction Resource
Analysis. CRA Work Plan for OSHA, 11/25/98. Inspection data supplied by
OSHA, which have not been validated. The number of site visits was calculated
by dividing the number of inspections by 3. Regions VIII, IX, X are omitted
because they consist primarily of state OSHA plans. FY 96 data adjusted
upwards by 25% to reflect inspections lost due to government shutdown.
What happens to
the 86% of sites that are not reported on?20 Are they inspected,
but reported as unprogrammed? Are the sites inactive at the time they
are visited? Unfortunately, there are no ready answers to these questions,
even though they are essential to evaluating the effectiveness of OSHA's
implementation of the planned programmed inspection system. We don't know
if the inspections are being done, but not recorded accurately, or if
the assignments are simply ignored21. But based on what we
have learned from our interviews, it would appear that the area offices
often ignore the uninspected sites22.
Exceptions are granted
to the list of assignments, but as much as that happens, area offices request
temporary additions to their list of assignments. Some sites are missed
because they are inactive at the time of inspection, but exactly how many
of those that are scheduled are inactive is anyone's guess. Sometimes the
area offices, for a number of reasons, are unable to complete their assignments23,
but according to the interviews we have conducted, that happens rarely.
Occasionally, the area offices send back the list with incomplete inspections
to the CRA, so that the sites can be reentered into the universe from which
random selections take place.
20Even this
is almost certainly an overestimate. For instance, Region V (Chicago) counts
all its emphasis inspections as planned programmed inspections, and these
account for an estimated 65 percent of all programmed inspections. If they
were deducted from inspections in Table 1, Region V would only inspect 10%
of the sites on its list.
21We have been unable to determine why CRA persists in producing or
the area offices requesting lists that appear to exceed the inspection capacity
to such an extent.
22This is not to say the area offices are not doing inspections. One
reason for the small number of programmed inspections is that unprogrammed
inspections take priority. In one area office, 92% of all inspections were
unprogrammed.
23The average monthly supplemental requests in 1998 amounted
to roughly 65 additional inspection sites. See CRA Work Plan for OSHA,
11/25/98.
6.2 Validity of Complaints By Field Managers
Almost all area offices
expressed the view that the planned programmed inspections give the a
presence at sites where the Agency would otherwise not go. However, a
number of field managers expressed strong dislikes for the current system
because it is too resource intensive and not sufficiently flexible. It
produces "too little bang for the buck."24 To the
extent we could with the available data, we conducted a validation of
the major criticisms.
a. Too Many Inactive
Sites
The
most common complaint is that the system produces too many visits to inactive
construction sites. Construction is a transient and temperamental industry,
governed by short term contracts which can be terminated or modified at
any time, and the vagaries imposed by all kinds of external forces from
climate to local ordinance enforcement. As a result, it is bound to be
more difficult to locate an active construction site than a general industry
facility. The CRA model used in the current system was designed in
response to this unique character. But, could it be done better?
Area
offices estimate that anywhere from less than 20% to 80% of planned programmed
sites are inactive at the time of inspection. Unfortunately, because the
Agency does not keep management information on each visit, we cannot confirm
or deny this contention, except to say that while the charge is consistent,
the spread in the estimate is unusually large25. Even though
the planned programmed inspections pose such a great burden, many regions
rely on them heavily. Fig. 1 shows the distribution of programmed inspection
activities in different regions. Region V relies on programmed inspections
for almost 80% of its inspections, and of these 9 in 10 are planned programmed
inspections26. Focused inspections are used in about 25% of
all planned programmed inspections, with Region III classifying 34% of
its inspections as focused, and Region V only 11%.
24At the
same time, a number of field managers who had experience with the system
used before 1988 said they did no better working directly from the Dodge
reports, without CRA's involvement. Several commented vehemently that they
would never go back to the old system.
25We also cannot say whether or not the rate of sites being inactive
at the time of inspection is higher for planned programmed inspections than
for other types of inspections. According to our interviews, it is not even
unusual to have inactive sites in complaint driven inspections.
26The source of data for Fig 1 is in Appendix 2, Table 1. However,
the data are misleading as measures of the use of CRA assignments. According
to the Regional Office, in Region V "planned programmed inspections"
include CSHO referrals pertaining to the regional emphasis program on fall
protection, that accounts for 65% of what is classified as planned programmed
inspections. Other regions classify such referrals differently.
b. The Lists are Incomplete
We heard many field
managers raise doubts about the extent to which the lists reflect current
industry activities. They noted that the lists lack residential and small
commercial construction, very large and privately bid projects, and include
too many public projects such as schools. We have no way of verifying
whether the mix of projects in terms of type of construction is representative,
but we did look at how well the planned programmed inspections compared
to other programmed inspections and to unprogrammed inspections based
on the distribution of inspections by employer size (i.e., by number of
employees.)
Fig.
2 shows the result of this analysis for Regions I-VII combined. It found
that while over 90% of construction employers have fewer than 20 employees,
only 40% of inspections covered this group, while employers in the larger
employer categories were much more likely to be selected. Planned programmed
inspections tend to miss the smaller employers and favor the larger employers
more than the other types of inspections, regardless of employer size27.
That's to be expected, because CRA's system excludes construction projects
below $200,000 and many of the area offices have much higher selection
thresholds--as high as $5 million for the West Atlanta Area Office. The
real problem is that too few of both unprogrammed and programmed
inspections are devoted to small employers.
27Depending
on type of inspection, an employer with more than 500 employees has a probability
of being inspected by OSHA that is roughly 20,000-40,000 times greater than
an employer with less than 20 employees. One reason for this is that a very
large employer works on many more construction sites at any given time than
a small employer. If we look at inspections by number of employees in each
of the categories, however, there is a closer match between inspection probability
and employment. See Appendix 1, Table 9.
c. They Produce Too Few Results
The final major argument
against the national planned programmed inspection system is that it produces
less bang for the buck than the unprogrammed inspections because it produces
fewer violations and lower penalty amounts. It is argued that Dodge/CRA
is biased towards established construction projects with responsible owners
and experienced construction contractors who have better safety records.
We
know that OSHA's inspections as a whole do not accord each employer an
equal probability of inspection. That's obvious from Fig. 2.28
We also know that the area offices contribute to the distortion by setting
selection criteria that include high dollar projects only. Finally, the
CRA model predicts construction schedules for larger projects better than
smaller ones. But on average, do planned programmed inspections produce
fewer violations and less penalties than other types of inspections? Fig.
3 shows the average number of violations and Fig. 4 the average penalties
per inspection for planned programmed inspections compared to total inspections
in construction inspections by region for FY 96-98.
Programmed
inspections produce 20% fewer inspections with violations and 44% less
in penalty dollars than the average for all types of OSHA construction
inspections. This pattern is true across all regions, but the size of
the variation between regions is so striking that it raises questions
about whether the pattern is imposed by Dodge/CRA29.
28Dr. David
Weil of Boston University is conducting an in-depth analysis of this issue
which confirms in greater detail what is shown in Fig. 2. Heather Grob's
doctoral dissertation, Self-Regulation and Safety Programs in Construction
(Notre Dame, 1998) is perhaps the most detailed analysis to confirm this
discrepancy.
29Except in one instance (see section 7.2) we did not look at
severity of violations, but we suspect that not only do planned programmed
inspections produce fewer violations, but also a lower percentage of willful
and repeat violations, and that this is one reason the average penalties
are so much lower.
6.3 Cost Effectiveness
Does the planned
programmed inspection system represent a good investment for the Agency
given the small number of inspections that are actually carried out and
the comparatively poor results in terms of violations and penalties obtained?
The answer to this question has three parts: are planned programmed inspections
as currently practiced cost effective; do they have an impact on safety
patterns in the industry that justify the Agency's investment in them;
and is the Dodge/CRA methodology the most effective approach?
a. Cost-Effectiveness
of the Planned Programmed Inspections
Assessing the value
of the Agency's investment in planned programmed inspections compared
to other types of inspections the Agency carries out is beyond the scope
of this contract. However, as noted in section 6.2(c), the IMIS data suggest
that the planned programmed inspections as a whole produce fewer violations
and lower penalties on average per inspection. The only data we have to
compare the level of effort it takes the Agency to carry out different
types of inspections are average case hours per inspection.
Fig.5 shows a comparison
of case hours per programmed inspection in construction compared to all
construction inspections. On average for all construction inspections,
the Agency spends 25% more time conducting an average inspection than
it does a planned programmed inspection, and in Region IV it takes 63%
more time to perform an average inspection. In other words, a planned
programmed inspection takes 3-4 hours less than the average inspection.
That
"saving" by itself would not be sufficient to justify conducting
planned programmed inspections alone. Table 2 shows "lost" penalty
revenues compared to the wages, expenses and overhead "saved"
between programmed inspections and the average inspection for each Region.
This means that for each planned programmed inspection performed, the
Agency "loses" a net of $464 in penalties compared to if it
had engaged in other types of inspections.30 Is that a reasonable
price for achieving a neutral system?
30Of course,
the Agency does not lose the penalties since penalties go to the US General
Treasury. If one assumes that penalties are the most important deterrent
available to the agency, this implies a loss of safety and health protection
of roughly 25% for each planned programmed inspection performed. There has
been a long dispute among economists about the extent to which penalties
act to deter unsafe practices, but I don't think any employers in the industry
doubt this.
Table 2
Penalties Lost and Hours Gained per Inspection Planned Programmed vs. All
Inspections in Construction
By Region, FY 96-98
| |
Region
|
Total
Regions I-VII
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
|
Penalties
"Lost" Per Inspection ($)
|
-706
|
-1038
|
-1117
|
-1219
|
-400
|
-467
|
-424
|
-694
|
| Wages
etc. "Saved" Per Inspection ($)* |
120
|
300
|
300
|
420
|
180
|
180
|
420
|
230
|
|
Net "Loss"
Per Inspection ($)
|
-586
|
-738
|
-817
|
-799
|
-220
|
-267
|
-4
|
-464
|
* Based on a rate of
$60.00 per hour to cover wages, expenses and overhead costs. The "etc."
refers to inspection expenses and Agency overhead.
b. Impact on
Safety and Health
Ultimately we would like to measure the value of planned programmed
inspections compared to other types of inspections based on the extent
to which they reduce injury and illness rates among workers in construction.
Frequently the
field managers state that the planned programmed inspections fail to
reach the smaller employers, who are usually the most hazardous employers31,
and we looked at this issue. Fig. 6, which is based on FY 1998 data,
shows that as often as not, the planned programmed inspections reach
sites with fewer employees than all OSHA inspections for construction
combined. So, at least in this limited sense there is no evidence that
the planned programmed inspections are a unique problem for the Agency.
Otherwise, given the
limitations of existing data, we have no way of making an assessment of
the safety and health impact. However, all available data suggest marked
improvements in safety performance in the industry over the past decade. 30
Although OSHA is not the only reason for this development, some part of
the improvement is due to the Agency.
31Bureau
of Labor Statistics. Occupational Injuries and Illnesses. Bulletin 2485,
April 1997.
A central issue to this assessment can therefore not be answered. Do the
planned programmed inspections, because they cause the Agency to go for
inspections where it otherwise would not go, produce sufficient deterrence
to justify the lower return? There is no doubt among OSHA's field managers
that the random inspections serve this purpose, and therefore some type
of system to accomplish this is needed.
c. The Dodge/CRA System
OSHA spends roughly
$240,000 per year on its contract to purchase the F.W. Dodge reports,
and another $170,000 on the CRA contract to model the Dodge reports
and produce the inspection schedules.32 In other words, OSHA
spends roughly $400,000 to identify what turns out to be 2,000 sites
actually inspected. If we take into account the visits to sites that
are inactive and not reported on, then it is likely that OSHA actually
visits at least 2,500 sites per year. The cost of the CRA contract spread
across these sites comes to $160-200 per site that OSHA visits. On the
surface, this does not appear to be cost-effective.33
However, this
is not a truly valid assessment. Even if CRA did not issue the schedules
of inspections, OSHA would need to send each area office the Dodge reports
for its catchment area. So OSHA could possibly save the CRA contract
amount of $170,000. But in return for this saving, the area offices
would then have to sift through the reports and identify sites, and
make a random selection among them. Of course, the Agency would have
to pay for this added staff time. We have estimated this added cost
in Table 3, based on the interviews with area office staff who had experience
with the system used before 1988, and compared it to CRA's current budget.
In other words, the Agency would not save any monies by eliminating
the CRA contract, and would almost certainly end up paying more.34
32DuBois,
J., OSHA's Office of Statistics, Personal Communication Feb. 22, 1999.
33Assuming an average cost to the Agency of $60 per hour for
CSHO wages, expenses and and overhead, this equals 2.5-3.5 hours of CSHO
time per site visited.
34This does not even take into account the services that CRA delivers
to a number of State Plans under the OSHA contract, or the additional
services it provides the Agency in the form of technical assistance, data
analysis and periodic reports.
Table 3
Estimated Added Area Office Costs Without CRA Procedure
| |
Per
Area Office |
All
OSHA* |
|
Hours/yr
|
Wage
& overhead |
Annual
cost |
Hours/yr |
Costs
($) |
| Low
Estimate (4.5 hours/month) |
54
|
$35/hr
|
$1,890
|
4,536
|
$157,760
|
| High
Estimate (8 hours/week) |
416
|
$35/hr
|
$14,560
|
34,944
|
$1.2
million
|
| Best
Estimate (16 hours/month) |
192
|
$35/hr
|
$6,720
|
16,128
|
$564,480
|
| CRA's
annual budget |
|
|
|
|
$170,000
|
*For all 84 area offices
combined Sources: Number of hours were provided to us in interviews with
OSHA staff based on their recollection of the pre-CRA period. The average
hourly cost is a guess by us based on a mix of clerical and professional
staff time, and is almost certainly an underestimate.
But, would a return to having the area offices create their own sample
be better? The answer to this question must consider four criteria:
-
Would
the Area Offices Produce a More Complete Universe? It is possible
that the area offices could use local knowledge to augment the Dodge
reports. This would almost certainly be the main advantage, but it
could also lead to the kinds of abuses that the Inspector General
uncovered in 1987.
-
Would
the Area Offices Produce a More Neutral Sample? The area offices
would need to apply some type of random selection procedure, such
as applying a random table. It is hard to see how this would produce
a more neutral sample, and it is highly unlikely that the area offices
could come up with a better model to estimate the time when expected
projects would be active without interjecting local knowledge bias
into the system.
-
Would
the Area Offices Produce a Sample that Results in Fewer Inactive Sites?
Verification of construction activity before projects are placed in
the universe from which targets are to be selected should produce
fewer visits to inactive sites. But such a process might be very time
consuming, and would still not assure that a site is active at the
time of the visit.
-
Would
the Area Offices Produce a Sample that Yields a Higher Rate of Return?
It would seem from Fig. 3 and Fig. 4 that regions that focus on SEP
inspections (e.g., Region V) have a higher return in terms of violations
and penalties. However, it seems that these regions rely more on CSHO
referrals than on random selection from construction schedules to
target employers.
We do not have
any way of determining whether local "take over" of the sample
selection process will improve inspection effectiveness or produce a
higher rate of return. A number of area offices and State Plans have
expressed a desire to maintain the Dodge/CRA system, while others have
said they prefer to manage the whole process themselves. Several of
the field managers we talked to helped manage the system before 1988,
and tended to state that they did not think it was advantageous over
the current system. Local takeover might lead to greater employer resistance
and the chances of a Barlow's type challenge in the process,
and it would be harder for the Agency to defend the neutrality of the
system without the CRA acting as a "blinded" scheduler.
Most of the area
office managers we talked to said that they expect planned programmed
inspections in construction to produce visits to inactive sites, and
they take actions accordingly to make the system more efficient. They
are using many different and creative ways to make the existing system
function more effectively, and in some cases CRA has been assisting
them in accomplishing this.
-
Most area offices are increasingly using focused inspections, which
now account for 25% of all planned programmed inspections. This may
be one explanation for the lower time required to conduct an average
planned programmed inspection35.
-
A number of regions and area offices rely on SEP inspections to perform
what they claim are planned programmed inspections, even though they
mostly use CSHO referrals to identify sites. Although it happens rarely,
they can request lists from CRA that focus on certain types or size
categories of construction, in which they expect to produce a high
rate of return. Fig. 7 shows that the more SEPs that are used, the
higher the rate of violations and average penalty per inspection 36.
-
They ask that the universe from which the samples are made to be limited
to certain, sub-area office geographic areas where they want to focus
their attention at certain points in time. For instance, in one month
they conduct inspections in the eastern part of their jurisdiction,
the next month in the western part. The greater the distances in an
area office's jurisdiction, the more important this approach becomes.
-
They
always arm inspectors with a number of different targets when they
go out, so that if a project is inactive they can go on to another.
- They also discourage
inspectors from being specialists in construction and assign the inspectors
a mix of construction projects and general industry establishments when
they go out, so that if there are no active construction projects the
inspector can focus on general industry targets.
- Finally, they
urge inspectors to look for "CSHO referrals" while en route
to a planned programmed inspection site. If the inspector has observed
a probable violation, this procedure can save the Agency from having
to seek a court ordered warrant. Many noted that the planned programmed
inspections afford them the only opportunity to establish presence in
remote areas, and when traveling distances are long it is especially
important to plan for the event of an inactive construction site target,
and also not to have to rely on the time consuming task of traveling
to obtain warrants.
36The exception
to this finding is the number of penalties in Region VII. Other factors
play a role in penalty levels but as a whole SEPs have a major impact
on inspection results.
7.1
Columbus Area Office Experiment
In 1997, the Columbus Area Office established the Construction Enforcement
Concept (CEC). This is perhaps the most interesting current local experiment
to improve the planned programmed inspections. The aim of CEC is to
place employers who have been found to have had fatality, willful, repeat
or failure-to-abate violations in the past three years on a special
list for targeting by programmed inspections. A list of these "priority
employers"(currently there are about 75 such employers) is sent
to CRA. Each month CRA selects inspection targets randomly from a universe
of projects where these employers are working to produce the schedule.
Apparently, OSHA has found this selection process to be in compliance
with Barlow's.
Table 4 shows
the results of CEC to date compared to the "normal" CRA schedule
that was used before. This analysis was conducted by the Columbus Area
Office and includes the 40 most recent inspections before CEC was instituted
using the established Dodge/CRA protocol for their selection, compared
to the first 35 inspections performed after CEC was instituted. Before
CEC, only 22.5 percent of inspections resulted in a violation, while
under CEC almost all inspections have resulted in violations (including
30 citations for serious violations and 3 repeat violations in a sample
that totaled 35 inspections.) After CEC, the use of focused inspections
fell from 80% to 55%. Importantly, the number of projects which were
inactive when the CSHO arrived on site declined from 40% to less than
25%.37
Table 4
Results of the Columbus AO CEC Program
|
%
w/violations |
% w/focused inspections |
%
inactive sites |
| Before
CEC |
22.5
% (9/40)
|
80
%
|
40
%
|
| After
CEC |
94.3 % (33/35)
|
55.3
%
|
<25
%
|
37It is
not clear why the rate of inactive sites dropped so markedly, since the
source of the projects selected is the Dodge reports in either case. This
may illustrate the importance of leadership and motivation. An experiment
frequently produces "Hawthorne" effects, and that's why controls are important
in experimental designs.
8.1 The Agency
Needs to Redefine the Role of the Planned Programmed Inspections
a. Conclusions
Ambivalence about
the planned programmed inspections permeates the Agency. As a result,
OSHA field managers do not have a clear and consistent understanding
of the purpose of the planned programmed inspections, which leads to
considerable frustration.
The role of the
planned programmed inspections has evolved in response to external circumstances
more than from leadership direction. The small number of planned programmed
inspections conducted is a reflection of OSHA's limited resources and
the fact that there is no legal requirement for these inspections. Unprogrammed
inspections take precedence over programmed inspections, and among programmed
inspections, special emphasis inspections are increasingly taking precedence
over planned programmed inspections. In this situation the planned programmed
inspections tend to become the last priority.
Nevertheless,
there is universal agreement within the Agency about the importance
of establishing a presence throughout the industry based on the random
selection of inspection targets. The issue is to define how this should
be accomplished, what level of expectations should be placed on the
random inspections, and what proportion of the Agency's resources should
be devoted to them.
Currently there
is confusion about even what to call this system. It is variously referred
to as the "Scheduled," "Planned Program," or "Targeted"
inspection system. There is also considerable confusion, or perhaps
opportunism, about what types of inspections that can be classified
as planned programmed inspections. In particular, program-"related"
and SEP inspections, which often are based on CSHO referrals rather
than any kind of neutral selection system, seem to be frequently mis-classified
as planned programmed inspections.
b. Recommendation
The Agency should
establish a mission statement, and restate and simplify (if possible)
policies and procedures for the planned programmed inspections. This
statement should focus on the importance of having a presence throughout
the industry that cannot be predicted or avoided by employers. The mission
statement could focus on the view that planned programmed inspections
are an important component of enforcement and serve to instill a safety
culture and reinforce the value of self-regulation.
It should give
the system a specific name, and stick with it.
It seems reasonable that the Agency should devote 40 percent of inspection
resources to the programmed inspections. At the same time, there is
room for area offices to seek different ways of making these inspections
more effective.
The Agency should make clear its expectations that area offices should
be able to reduce the number of inspection visits to inactive sites
to less than 15 percent, and should monitor the area office's performance
in this regard.
8.2 The Area
Offices Should Be Allowed Structured Leeway in Designing Planned Programmed
Inspection Systems that Meet Their Needs
a. Conclusion
Overall, the planned
programmed inspections are not being performed as intended by OSHA in
response to Barlow's. The integrity of the system is threatened
by a growing trend towards ignoring or circumventing it by the Area
Offices. While the CRA lists provide a neutral sample, the randomness
or neutrality is opened to suspicion when the area offices select only
14% of projects listed for inspection.
At the same time,
the innovations that are being made in the planned programmed inspections
come from the area offices. A number of area offices use their own systems,
or rely on special emphasis inspections as their planned programmed
inspections. However, the special emphasis programs are often conducted
based on probable cause and not pursuant to the random process involving
CRA.
It does not appear
that the regional offices or the national office are using consistent
or adequate procedures in terms of reviewing and approving alternatives
or amendments to the existing systems being developed by the area offices.
b. Recommendation
The Agency should
allow area offices to opt out of the current scheduling system if they
can design a protocol that meets the requirements of Barlow's.
To assure that this does not lead to abuses, the Agency needs establish
a protocol in accordance with the recommendations of the Inspector General's
1987 report. It should conduct a thorough review before it approves
any opt-outs, and should have in place a procedure to monitor how the
area offices that opt out implement their programs.
To the extent
possible, area offices that focus on special emphasis program inspections
also should use a neutral process to select targets, either CRA or one
developed locally and approved by the regional or national offices.
8.3 The Agency
Needs to Improve Data Collection in the IMIS System
a. Conclusions
The data presented
in section 6 show huge and inconsistent variations between regions.
We think that some of the variations, and perhaps a very significant
part, result from different uses of terms and different coding of information
for data entered into IMIS, and the omission of essential data about
construction site characteristics. It is hard to see how the Agency
can make decisions, monitor performance, and evaluate problems with
any degree of certainty given the glaring deficiencies found in IMIS,
at least for construction.
b . Recommendation
The Agency needs
to review the quality assurance procedures for IMIS. It needs to instill
standardized classifications. It needs to develop various edit checks
on data entry. It needs to conduct field audits of the area offices
to verify classification, coding and data entry practices.
The Agency should
implement a number of immediate improvements:
-
Data entry procedures should be reviewed and clear definitions of
classification terms should be developed immediately.
-
Wherever a Dodge inspection takes place, the Dodge number should be
entered in a specified field.
-
More information is needed on the type of construction project that
is inspected. CRA has developed a good classification system that
could form the basis for IMIS.
-
IMIS should include a data field for reports from visits to construction
sites that are inactive (see 8.4).
In addition, an
electronic link between the IMIS data and the Dodge data base should
be designed for purposes of evaluating which sites have been visited.
CRA could assist in the development of this analysis capability. (See
also 8.9)
Finally, the Directorate
of Construction needs to improve its capability for analysis and reporting
of data from IMIS.
8.4 A Report
Should be Filed for All Construction Inspections, Even if the Site is
Inactive
a. Conclusion
The most common
complaint about the planned programmed inspection system expressed by
field managers is that the sites are too often inactive. However, since
inspectors do not report on visits to inactive sites, there is no way
to assess the magnitude of this problem, or to determine if it is unique
to planned programmed inspections.
b. Recommendation
Whenever an inspector
visits a construction site, a report should be filed. This should
also be the case even if the site is inactive at the time of the visit,
and a short form should be developed to simplify such reporting. The
report should include characteristics of the construction project, and
an assessment of why the site is inactive if that information is available.
8.5 The Dodge
Contract Should Continue
a. Conclusion
F.W. Dodge remains
the only viable national data base, and OSHA should continue its subscription
to it. The Dodge data base contains between 150,000 and 200,000 construction
projects at any given time, and adds about 22,000 new projects each
month. CRA selects 1,200-1,400 projects from this data base each month,
and this provides an ample universe from which to select in such
a manner that no employer that is subject to enforcement under the OSHAct
will feel to be exempt from the possibility of being subjected to a
planned programmed inspection.
By making the
Dodge data available to the State Plans, OSHA provides these plans with
a great services on which they have come to depend, but would be unable
to sustain on their own.
b. Recommendation
The F.W. Dodge
contract should continue, and in addition:
-
The Agency should request that Dodge reports include zip code in the
addresses for all construction projects, except possibly road, rail
and pipeline construction, when it may not make sense to do so. For
the vast majority of construction projects, zip codes would be an
excellent aid to locating construction projects for inspection38.
-
Either on its own or through CRA, the Agency should review the Construction
Market Data (CMD) to determine whether this data base would provide
a valuable addition to the Dodge data for those area offices where
CMD provides coverage.
38This
is especially true if the Agency adopts Geographic Information System
methods to present its performance data.
8.6 The CRA Contracts Should Continue
a. Conclusions
CRA is well qualified
to perform the work needed by OSHA for the planned programmed inspection
system, and is a very cost effective resource for OSHA. Any alternative
would in all likelihood add significant cost to area office budgets. The
Dodge data would still need to be purchased and sent to each area office.
Most of the field managers who remember the system in place before 1988
favor the CRA scheduling system. It is very uncertain whether alternatives
would produce a higher rate of return in terms of an increased number
of inspections performed, or average number of violations and increased
penalties per inspection performed.
By making CRA available to the State Plans, OSHA provides these plans
with a great services on which they have come to depend, but would be
unable to sustain on their own.
b. Recommendation
The CRA contract
should be continued at the current level of effort. CRA is clearly capable
of providing OSHA with more research support that could help evaluate
the effectiveness of the construction inspection program. It should
be possible to reprogram funding from CRA's current activities to more
research support activities for the Agency, particularly if a number
of area offices are given the opportunity to opt out from using the
CRA schedules and decide to take advantage of that opportunity. (See
8.9)
CRA should develop
a selection procedure that yields a list of assignments more compatible
with the actual inspection capacity for each area office.
CRA should perform more field validation studies of its scheduling model,
particularly to determine the extent to which it can reliably predict
construction schedules for projects below $950,000 in value, and it should
propose ways to schedule projects of less than $200,000 in value.
CRA would benefit from increasing its capabilities in biostatistics and
epidemiology.
8.7 There is
Room for Immediate Improvement in Terms of Area Office Implementation
of the Planned Programmed Inspections
a. Conclusion
No matter how planned
inspections are carried out, construction sites that are targeted will
be inactive in some cases. Because of the vagaries of construction,
sites become inactive for unpredictable reasons: weather, contracting
problems, supply problems, labor disputes, permit refusals, etc. If
the system were to target sites known to be active, it would
no longer be random. So the real issue that field managers must address,
is how to minimize resources lost due to inactive sites.
b. Recommendation
Significant improvements
in the implementation of the program can be made in the short term.
The Agency should require the area offices to make the most of their
inspection resources by adopting the kind of efficiencies that are described
in section 7 of this report.
The Agency should
make clear to the field managers that planned programmed inspections
that results in a visit to an inactive site is expected and accepted
given the transient nature of construction work. A fifteen percent (15%)
rate might be a reasonable target.
8.8 The Directorate
Needs to Improve Communications with the Area Offices
a. Conclusions
The Directorate
of Construction, in cooperation with the regional offices, needs to
improve communications to and between area offices. A number of area
offices do not understand or use the capabilities and flexibility allowed
under the CRA planned programmed inspection system, and are not aware
of the many creative experiments that are being conducted in various
area offices in order to make the planned programmed inspections more
valuable.
b. Recommendation
A self-learning
course with a simple manual and video should be prepared and sent to
each area office. A Web-site where area offices can report their experiments
and where the Directorate provides data on performance should be created.
There should be an update on the planned programmed inspections program
at each regional area office manager's meeting.
8.9 The Agency
Needs to Develop an Industry Denominator for Evaluation of Its Inspection
Practices and Linkage to Injury and Illness Data
a. Conclusion
Current IMIS data
permit only a very limited descriptive evaluation of the inspection
system. They provide no real information on the characteristics of the
construction industry against which to measure inspection activity and
results. They provide no way to evaluate the extent to which inspection
patterns by industry characteristics relate to injury and illness patterns
for those industry characteristics.
b. Recommendation
CRA should be able
to use the Dodge data to provide a model of construction activity to
estimate labor hours by type of construction for each area office.
CRA could provide
OSHA with assistance in estimating the Agency's impact on injury and
illness rates in construction by linking together Dodge data on the
industry with BLS injury and illness data and IMIS inspection data.39
39 This
would provide a research resource with great potential value to the National
Institute for Occupational Safety and Health, and OSHA should seek assistance
from NIOSH in the form of joint funding of these activities.
8.10 The Use
of Planned Programmed Inspections Needs to Be Tested
a. Conclusion
Based on this analysis,
it is not possible to recommend whether OSHA should expand, maintain
or discontinue the planned programmed inspection system. It is hard
to see any patterns in the data which justify the specifics of the very
strong views that are expressed by a minority of field managers against
the current system. At the same time, it is hard to justify the programmed
inspections given their diminished results compared to other types of
inspections.
Most of the field
managers recognize the need for some type of programmed inspections,
but many challenge the effectiveness of the current system of scheduling
those inspections. It is hard to find any resounding evidence that these
inspections produce as good or better results than other types of inspections.
There are no major differences between programmed and unprogrammed inspections
in terms of employer size. While planned programmed inspections may
result in more inactive sites visited, and in less violations and penalties,
they also take 25% less inspection resources.
It is not surprising
that planned programmed inspections result in fewer violations or penalties.
This is to be expected given that they are performed on a random sample
of sites, while unprogrammed inspections are based on cause. Unfortunately,
data systems are not in place to determine whether the lower rate of
inspection return is justified based on the impact the random inspections
have on safety and health practices.
There is a fundamental
unfairness about comparing programmed inspections to unprogrammed inspections,
and it is not necessarily valid to rely on violations and penalties
as the ultimate outcome of OSHA's activities. Preventive programs are
hard to justify, because if they work well there will be few adverse
outcomes to measure. The fact that programmed inspections find more
employers "in compliance" than unprogrammed inspections could
signify that the employers favored by programmed inspections have "gotten
the message" as a result of being favored. But we don't know whether
that's the case.
b. Recommendation
To better evaluate
its construction inspection activities OSHA should design a demonstration
program better determine the optimal mix of inspection resources by
comparing inspection activities to industry risk characteristics.
Such
an experiment could place a sample of area offices which volunteer to
participate in three groups (with perhaps 6-10 offices in each group)
according to their current inspection preferences: 1) those which prefer
to use the current Dodge/CRA system; 2) those which prefer to focus
on SEP inspections, and 3) those which prefer to focus on unprogrammed
inspections. Over a three year period, they should be evaluated in terms
of their resource use and inspection impact. An outline of the design
and approach is in the attached addendum.
Demonstration
to Test Planned Programmed Inspection Effectiveness
Outline
Objective:
To evaluate the effectiveness of planned programmed inspections to determine
their impact on industry risk characteristics.
Design: A sample of area offices would be placed in three groups
(with perhaps 6-10 offices in each group) according to their current
inspection preferences: 1) those which prefer to use the current Dodge/CRA
system; 2) those which prefer to focus on SEP inspections, and 3) those
which prefer to focus on unprogrammed inspections. Each of experimental
area office jurisdictions would be carefully characterized for construction
activity to define labor hours by craft and by type of construction
using a classification system based on the one already developed by
CRA. The construction would then be compared to the BLS injury and illness
data to establish their expected risk rates by size of employer.
Evaluation:
The evaluation would make comparisons between the three experimental
groups, and also make comparisons to between the experimental groups
and the remaining OSHA offices which do not chose to participate. The
outcome would be measures of inspection activities, where the number
and type of inspection, violations and penalties issued would be compared
to type of construction, size of construction project, and type and
size of employer.
Review:
To assure independence and quality, OSHA could ask ACCSH to establish
an expert working group with added expertise in quasi-experimental evaluation.
The working group would review the experimental design and make recommendations
for improvements, and periodically monitor progress.
Implementation:
OSHA could seek the assistance of NIOSH in conducting this experiment
particularly to help design the experiment and its evaluation plan.
A contract with an experienced evaluation organization would be needed
to conduct an independent evaluation of the project.
Duration:
Three years.
Summary
of Key IMIS Data
Table 1. Construction
Inspections
by Region, FY 96-98
Type
of Inspection
|
Region
|
I-VII
Combined
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| Total
Construction |
5,819
|
7,827
|
4,676
|
6,435
|
8,581
|
6774
|
2,670
|
42,782
|
| All
Programmed |
1,991
|
3,961
|
2,344
|
2,249
|
6,745
|
4,760
|
1,143
|
23,193
|
| Planned
Programmed |
1,158
|
2,281
|
1,832
|
1733
|
5,765
|
3,628
|
717
|
17,114
|
| Planned
Programmed as % of all Construction Inspections |
34%
|
51%
|
50%
|
35%
|
79%
|
70%
|
43%
|
52%
|
| Planned
Programmed as % of all Construction Inspections |
20%
|
29%
|
39%
|
27%
|
67%
|
54%
|
27%
|
38%
|
|
Planned
Programmed as % of all Programmed Inspections
|
58%
|
58%
|
78%
|
77%
|
87%
|
76%
|
63%
|
71%
|
Note: Based on
data supplied by OSHA, which have not been verified. The numbers here
are for federal OSHA inspections only. Regions VIII, IX, X are omitted
because they consist primarily of state plan states.
Table 2. Special Emphasis Program Inspections
By Region, FY 98
| |
Region
|
I-VII
Combined
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| Seps
Per Planned Programmed Inspection |
0.8
|
0.5
|
0.05
|
0.05
|
1.2
|
0.08
|
0.25
|
0.63
|
Note: Based on data
supplied by OSHA, which have not been verified. Includes all national,
regional and local SEPs. Regions VIII, IX, X are omitted because they
consist primarily of state OSHA plans.
Table 3. Construction
Inspection, Violations and Penalties
By Region, FY 96-98
| |
Region
|
Total
Regions
I-VII
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| All
Construction Inspections |
5,819
|
7,827
|
4,666
|
6,435
|
8,581
|
6,774
|
2,665
|
42,767
|
| All
Violations |
10,768
|
15,195
|
7,531
|
9,817
|
15,414
|
7,560
|
2,630
|
68,915
|
| All
Penalties (in $1,000) |
9,231
|
13,402
|
8,700
|
11,335
|
16,770
|
6,065
|
2,301
|
67,804
|
Note: Based on data
supplied by OSHA, which have not been verified. Regions VIII, IX, X are
omitted because they consist primarily of state OSHA plans. Table 4. Violations
and Penalties Per Construction Inspection
By Region, FY 96-98
Table 4. Violations
and Penalties Per Construction Inspection By Region, FY 96-98
| |
Region
|
Total
Regions
I-VII
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| Violations
Per Inspection |
1.8
|
1.9
|
1.6
|
1.5
|
1.8
|
1.1
|
1.0
|
1.6
|
| All
Penalties ($) |
1,586
|
1,712
|
1,860
|
1,761
|
1,950
|
895
|
861
|
1,585
|
Note: Based on data
supplied by OSHA, which have not been verified. Regions VIII, IX, X are
omitted because they consist primarily of state OSHA plans.
Table 5. Rate
of Noncompliance Per Inspection By Region, FY 96-98
| |
Region
|
Total
Regions
I-VII
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
|
Unprogrammed Inspections |
78%
|
74%
|
68%
|
68%
|
66%
|
54%
|
60%
|
67%
|
|
Programmed Inspections |
61%
|
57%
|
62%
|
52%
|
75%
|
44%
|
35%
|
55%
|
|
Planned Programmed Inspections |
49%
|
47%
|
58%
|
48%
|
74%
|
42%
|
29%
|
50%
|
| Programmed
Inspections--Not Planned |
78%
|
72%
|
77%
|
63%
|
85%
|
49%
|
44%
|
67%
|
Note: Note: Based
on data supplied by OSHA, which have not been verified. The numbers here
are for federal OSHA inspections only. Regions VIII, IX, X consist primarily
of state plan states.
Table 6. Employees
on Site Per Inspection By Region, FY 98
| |
Region
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| All
Construction Inspections |
7.3
|
7.8
|
9.0
|
9.4
|
6.7
|
11.1
|
7.0
|
|
Planned Programmed Inspections |
11.4
|
7.5
|
7.15
|
11.4
|
5.5
|
7.8
|
7.6
|
Note: Note: Based
on data supplied by OSHA, which have not been verified. The numbers here
are for federal OSHA inspections only. Regions VIII, IX, X are omitted
because they consist primarily of state OSHA plans.
Table 7. CSHO Case Hours Per Inspection By Region, FY 96-98
| |
Region
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| All
Construction Inspections |
15
|
18
|
15
|
18
|
15
|
11
|
16
|
| Planned
Programmed Inspections |
13
|
13
|
10
|
11
|
12
|
8
|
10
|
Note: Note: Based
on data supplied by OSHA, which have not been verified. The numbers here
are for federal OSHA inspections only. Regions VIII, IX, X are omitted
because they consist primarily of state OSHA plans.
Table 8. Inspections, Violations and Assessments Per Inspector
By Region, FY 96-98
| |
Region
|
I-VII
Combined
|
|
I
|
II
|
III
|
IV
|
V
|
VI
|
VII
|
| Number
of safety inspectors |
64
|
92
|
66
|
92
|
114
|
86
|
36
|
550
|
| Total
Inspections/inspector |
91
|
85
|
71
|
70
|
75
|
79
|
74
|
78
|
|
Programmed/Inspector |
31
|
43
|
36
|
25
|
59
|
55
|
32
|
40
|
|
"Dodge/CRA"/Inspector |
18
|
25
|
28
|
|
51
|
42
|
20
|
29
|
|
Violations/Inspector |
168
|
165
|
114
|
50
|
135
|
88
|
73
|
121
|
| Penalties/Inspector
($1000) |
144
|
146
|
132
|
948
|
147
|
71
|
64
|
118
|
| Penalties/Violation
($) |
857
|
882
|
1,155
|
1,154
|
1,087
|
802
|
874
|
973
|
86Note: Note: Based
on data supplied by OSHA, which have not been verified. The numbers here
are for federal OSHA inspections only. Regions VIII, IX, X consist primarily
of state plan states.
Table 9. Inspections
by Employer Size
Regions I-VII Combined , FY 96-98
|
Employer
Size
|
Proportion
of Industry
|
Proportion
of Inspections
|
|
Employers
|
Employees
|
All
Inspections
|
Unpro-
grammed
|
All
Programmed
|
Planned
Programmed
|
|
1-19
|
82%
|
45%
|
42%
|
46%
|
43%
|
37%
|
|
20-49
|
4.9
|
14
|
25
|
23
|
28
|
27
|
|
50-99
|
2.1
|
19
|
13
|
12
|
14
|
15
|
|
100-499
|
1
|
16
|
15
|
14
|
13
|
17
|
|
>500
|
<½
of 1 %
|
6
|
5
|
5
|
3
|
5
|
|
Total
|
100
|
100
|
100
|
100
|
100
|
100
|
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