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PREFACE
Official Disability GuidelinesTM
(ODG) links together four U.S. government databases to
provide length-of-disability experience data that can be used to manage employee
productivity. These four databases
are the following: ICD-9-CM — The International
Classification of Diseases, 9th Revision, Clinical Modification.
This is the principle coding system used worldwide for the diagnosis of
any medical condition. The main section of ODG
includes verbatim the complete "Volume 1, Diseases: Tabular
List" of the current Official ICD-9-CM publication. CDC NCHS NHIS — The
National Health Interview Survey (NHIS) is conducted annually by the National
Center for Health Statistics (NCHS) of the Centers for Disease Control and
Prevention (CDC). ODG
uses data from every year beginning in 1987 until the most current. OSHA BLS OII — The Bureau
of Labor Statistics (BLS) reports annually on Occupational Injuries and
Illnesses (OII) from forms submitted by employers to the Occupational Safety and
Health Administration (OSHA). ODG
uses data from the latest available year. HCUP — The Healthcare
Cost and Utilization Project (HCUP) is a family of health care databases and
related software tools and products developed through a Federal-State-Industry
partnership and sponsored by the Agency for Healthcare Research and Quality
(AHRQ) to create a national information resource of patient-level health care
data. HCUP includes the largest collection of longitudinal medical care data in
the United States. These databases enable research on a broad range of health
policy issues, including cost and quality of health services, medical practice
patterns, access to health care programs, and outcomes of treatments at the
national, State, and local market levels. The
latest available year is included in ODG.
From the beginning, the
first edition of Official Disability Guidelines (ODG) in 1996 provided
lost time guidelines using actual experience data from these federal government
databases, specifically OSHA BLS (Occupational Safety and Health Administration
– Bureau of Labor Statistics) and CDC NCHS NHIS (Centers for Disease Control
and Prevention, National Center for Health Statistics, National Health Interview
Survey). The raw data is presented
graphically so users can compare it directly with their own experience, and it
is designed to enhance a timely and
appropriate return-to-work for workers suffering from illness or injury.
From the beginning, ODG was based on actual experience, not “expert”
opinion. This made ODG fair to
employees and defensible by employers. With changes to the Federal Rules of Evidence, the ODG
guidelines also became the most likely to stand up in court. As a result of recent U.S. Supreme Court decisions, the
Federal Rules of Evidence were recently amended in December 2000.
The new rules state that statistical studies will be admissible under the
Federal Rules of Evidence, and that such methods generally satisfy important
aspects of the “scientific knowledge” requirement articulated in the Daubert
Decision.[1]
Furthermore, it states that “courts have described surveys as the most
direct form of evidence that can be offered, and several courts have drawn
negative inferences from the absence of a survey.”[2]
Official Disability Guidelines is based on actual reported data from the annual CDC National Health Interview Survey (NHIS), the BLS Survey of Occupational Injuries and Illnesses (SOII), and over 2 million medical records from actual workers’ compensation claims. This includes actual observed case data - rather than government survey "patient recollection" data. All data is tracked by ICD-9-CM code and not just general body part. Since 2003 all of the ODG disability duration data has been validated and enhanced by actual client claims data, and this is reflected in the Return-To-Work Summary Guidelines (Claims data Midrange and At-Risk) as well as the Return-To-Work "Best Practice" Guidelines, the RTW Claims Data (Calendar-days away from work by decile), and the RTW Post Surgery (Calendar-days away from work by decile). Official Disability Guidelines also includes client data, based on over 2 million claims from WLDI’s multi-year multi-state workers comp database, covering almost 50 million paid invoices on medical encounters for those claims. These medical costs represent a total of $10.0 billion dollars in actual incurred costs, and the indemnity costs represent a total of $7.2 billion dollars in actual incurred costs, for a total of over $17 billion of workers’ compensation costs, and they are presented in the table, entitled “Workers’ Comp Costs per Claim.” A detailed Methodology Outline, covering both the Treatment Guidelines as well as the Return-to-Work Guidelines, has been posted on the Web at http://www.odg-disability.com/methodology_outline.pdf. There is also a detailed Methodology Description using the AGREE Instrument (Appraisal of Guidelines Research and Evaluation), posted online at http://www.odg-disability.com/ODG_AGREE.htm.
RETURN-TO-WORK "BEST PRACTICE" GUIDELINES The
term “Best Practice” describes the use of these pathways to manage
disability. For example, for carpal
tunnel syndrome (ICD9 354.0) the first entry in the “Best Practice”
Guidelines is “Conservative treatment, modified work (no repetitive use of
hand/wrist): 0 days”. The “Best
Practice” is to try to follow this initial treatment pathway, and, if it is
followed, the actual data support a norm of 0 days.
(Also under carpal tunnel syndrome, the CDC bar chart shows that in 43%
of the cases reported to CDC, where a physician has diagnosed carpal tunnel
syndrome, no time is missed. This
is the data that supports that pathway.) The
“Best Practice” guidelines were first launched in the 1997 edition of ODG,
but they have been expanded in each subsequent annual edition.
Currently, Official Disability Guidelines has “Best Practice”
guidelines for four times as many conditions as in 1997, and the average number
of treatment options per condition is more than double what it was in 1997.
With over 16,000 clients, the “Best Practice” guidelines in ODG are nationally
recognized. Since they are based on
actual experience data from the federal government, they are scientifically
valid and outcome-based. New users
of lost time guidelines have gravitated toward ODG because the “Best
Practice” guidelines, the heart of ODG, identify what makes a difference in
return-to-work. Rather than looking
at an average or a median for all cases for a particular condition, ODG allows
comparison among like cases. Within
diagnoses, some cases should return earlier than others because they are on a
different pathway. Trying to make
them all adhere to an overall median will not only let some cases be out too
long, but will also force some cases back to work too soon. As ODG became a focal point facilitating communication among
all parties in the return-to-work process, including patients, it has been
assisting all parties with regard to the appropriate treatment and management of
work related injuries and illnesses. The
framework of the “Best Practice” guidelines has established elements against
which aspects of care can be compared, and allowed identification of treatments
and services that are reasonable and medically necessary for treatment of a
particular injury.
The "Best Practice" disability duration data is contained in
boxed bold type under each diagnosis. These
durations are what can be achieved through management of the disability case,
based on analyzing the raw data and comparing findings with the experience of
clients of Work Loss Data Institute. The
"Best Practice" Guidelines also reflect the experience of the members
of the ODG Editorial Advisory Board, comprised of about eighty medical
professionals, typically medical directors at large corporations or other
employers with significant disability experience, who review the “Best
Practice” guidelines every year to identify new return-to-work pathways and
compare the durations with their own experience.
Separate data is provided for whatever factors would significantly affect
the disability duration. For
example, choice of therapy may be identified, including different procedures,
along with target disability durations for each of those.
Each of these procedure names is also indexed in the Keyword Index for
easy access to durations on procedures. In
many cases there are significant differences between cases treated surgically
versus medically (e.g., drug therapy). For
diagnoses where co-morbidities are a significant factor, these may also be
identified in the "Best Practice" Guidelines section. These "Best
Practice" Guidelines focus on return-to-work, and are not as detailed as
clinical best practice guidelines, but they should include the various paths of
treatment suggested by clinical best practice guidelines.
Where type of job makes a difference, that is shown also.
This may be clerical work versus manual work, but it may also be other
factors such as sedentary versus standing, or use of a particular body part.
Where clerical/modified work shows a shortened disability duration, the
"modified" work may be an opportunity to return the worker to
restricted duty, before he or she returns to their normal duties.
Where other factors affect duration, such as non-dominant versus dominant
arm, they are also identified. For
each diagnosis, there may be specific job characteristics that affect length of
disability. These characteristics
may not correspond to the five job classifications in the Department of Labor's Dictionary
of Occupational Titles. Where
they do apply, "sedentary" corresponds to class 1 (sitting, up to 10
pounds of force), "clerical" is class 2 (up to 20 pounds),
"manual" is class 3 (up to 50 pounds), and "heavy manual"
covers class 4 or 5 (up to 100 pounds and over 100 pounds).
The graphs shown for each database of experience data may show different
clusters of data. The "Best
Practices" section helps explain what causes those clusters, e.g. medical
treatment versus surgery, hospitalization versus non-hospitalization, light-duty
versus heavy manual work, etc.
Throughout the "Best Practice" Guidelines there is consistency
in the definition of days. Return-to-work
durations are always in calendar days, as opposed to workdays, so they can be
applied to workers on different shifts, full time versus part time, etc. Length of disability of 7 days is equal to one week.
A partial day missed is treated as one day if the employee would be
expected to be out for most of the day (e.g., for a colonoscopy).
Time off for an hour or two, say for routine diagnostic examination,
physical therapy, or limited chemotherapy, would be treated as zero days.
Each of the treatment options under the "Best Practice"
Guidelines generally has its own disability duration. For example, the time out of work for initial conservative
treatment would be separate from time off for surgery, if the conservative
treatment is chosen but it turns out to be unsuccessful, and then surgery is
selected. On the other hand, a
diagnostic procedure may be also part of a more extensive therapeutic procedure.
These guidelines are meant to be used to identify cases that are out of
the norm, where questions may be asked, such as what makes them different.
Especially where there is a great variation in severity, for example, for
some cancers, additional information may be requested and the additional time
out of work may be justified. If the patient has co-morbidities that are not
specifically identified in the guidelines, application of the guidelines is more
difficult. The final opinion
regarding any medical condition and the ability of a patient to return to work
should rest with the physician treating that patient. Where the "Best Practice" disability duration
guidelines indicate "by report", variances in the data made it
impossible to select a benchmark number of days, and the report by the
evaluating physician should guide the amount of time off work.
It should also be noted that achieving the best practice guidelines
disability durations typically requires appropriate job descriptions and
availability of altered work. Depending
on the type of work, some injuries will have a residual chronic pain syndrome
that will require accommodation. It
is recommended that these guidelines be achieved in a setting that includes
modified duty work as well as case management.
Some employers have found that with aggressive Return-To-Work modified
duty programs, disability schedules can be considerably shortened compared to
the "Best Practice" guidelines. On
the other hand, modified duty policies are quite variable among employers, and
the clinician needs to acknowledge that the level of RTW function they approve
may not be accommodated by company policy.
Some physicians consider the return-to-work dates in the "Best
Practice" guidelines to be aggressive, and there may be some cases that do
not meet these guidelines. This may
result in disagreement between case managers and physicians.
The best practices take into account the best circumstances. Some patients can return to work earlier than the best
practices suggest, and others later than suggested.
Such variables as age, co-morbid conditions, severity, job type and other
items can impact disability duration and must always be taken into account.
When patients fall outside these values, most notably if the projected
disability duration exceeds "Best Practice" estimates, the case
manager should consult the treating physician as to why the case might not fit
the "Best Practice" guidelines.
One of the challenges in disability management is what to do when a
person has recurrent problems. For
instance, when someone has headaches, rheumatoid arthritis, osteoarthritis, or
cancer that has recurrent symptoms, it is very difficult to determine a
"Best Practice" disability duration.
The Return-to-Work “Best Practice” Guidelines, comprising the most important
feature in ODG, are now closer to the top within each condition, in the second
box. These still show
estimated days out of work (based on national norms) for typical cases within
each condition depending on severity, type of treatment and type of job,
including modified duty. They are
indispensable to effective case management, by identifying up front what
“pathway” a case is likely to follow. In
addition, multipliers for many common comorbidities have been added, based on
the raw experience data.
Multiple incidences of disability
duration: When managing multiple incidences of disability duration for the same worker on a prospective basis, ODG users should consider each one separately when creating return-to-work expectations using the “Best Practice” Guidelines. The disability duration data used to derive the pathways in the Return-to-Work “Best Practice” Guidelines is based on single incidences of missed work, because that is the only way to isolate the specific factors affecting return-to-work in each of the pathways. (On the other hand, when benchmarking claims on a retrospective basis, users should be aware that the RTW Summary Guidelines, as well as the ODG claims data by decile, include all instances of absence for each claim.) And, as with all disability durations in ODG, the length of disability is calculated by taking the return-to-work date minus the last day of work less one-day. When using durations in the “Best Practice” Guidelines to manage a specific worker’s absence on a prospective basis, the expected disability duration should generally “reset to zero” if the worker has returned to work for a period, but then misses work again at a later time. Furthermore, because of the potential for abuse from multiple incidences of absence, users should probably “reset” the duration only for the second instance of absence for the same condition within a year (not the third, fourth, etc.), and only if the time during which the worker returned to work is significant, i.e., it exceeds the disability duration that preceded it. Specific absence situations that exceed these guidelines will need to be reviewed on a case-by-case basis. The return-to-work period need not be job specific, so it may be regular work that could have been impacted by the medical condition, or either regular work or modified duty where the condition should have a limited effect. In addition, please note that disability duration pathways in ODG that refer to surgery are calculated from the date of surgery, and not from the last day of work. These general principles should also apply to recommendations regarding number of treatment visits, for example, physical therapy, even though these visits may or may not be during an absence from work. In general, a second incidence of physical therapy visits after a substantial time back at work may represent a recurrence of the original condition that might allow another series of physical therapy visits. Without a disability-duration to trigger this, the “substantial time back at work“ might be considered anything greater than the number of “At-Risk” days for that condition. And, physical therapy visits post surgery should be considered separately from visits used up in an attempt at conservative treatment that might have avoided surgery. Again with respect to retrospective benchmarking, as opposed to prospective claims management, disability duration data in ODG that is used for this benchmarking, for example, the Return-to-Work Summary Guidelines or the RTW Claims Data, includes all incidences of disability duration for a single claim with that primary diagnosis over the previous year. Additional note on co-morbidities: With respect to co-morbidities, in most cases the expected disability duration will be driven by the most severe diagnosis. In fact, when disability durations are calculated in ODG from actual experience data, and a case has multiple ICD9 diagnosis codes, all of the lost workdays for that case are assigned to only one ICD9 code, the one with largest number in the ODG Return-To-Work Summary Guidelines (i.e., Midrange, All absences). Consequently, when using ODG to determine an expected return-to-work date, the disability durations should not generally be added together when the worker has multiple injuries or illnesses. Unless there are instructions that incorporate those specific co-morbidities, users should just take the longest duration and go with that. The healing time of the less serious condition should fall within that. For example, if a worker has a back sprain and a disc disorder, the return-to-work (RTW) date should be driven by the disc disorder diagnosis, and the healing time for the back sprain should fall within that. This is similar for RTW after surgery. For example, if someone has a spinal fusion and a discectomy, the return-to-work date would be driven by the fusion. RETURN-TO-WORK
SUMMARY GUIDELINES
Based on input from users, the 2003 edition of Official Disability
Guidelines underwent a major re-design to facilitate finding the right
information quickly. With the new format you can efficiently locate the number
you need to reserve a claim, or you can get the in-depth backup information
necessary for more extensive case management.
Return-to-Work Summary Guidelines show estimated days
out of work (based on national norms) for each condition in summary, for those
who just want to select a target, and you can now cost justify case management
efforts by “beating the guideline” using the At-Risk date.
These are followed by ODG’s well-respected “Best Practice”
Guidelines, which have proven indispensable to effective case management by
identifying up front what “pathway” a case is likely to follow.
This new “Summary Guideline” box brings to the front of each
diagnosis, experience data that was previously contained in the ODG “decile
table”, using the 50% number for “Midrange” and the 90% number for
“At-Risk”.
Please note: An important distinction needs to be made between the
Return-To-Work Summary Guidelines and the Return-To-Work “Best Practice”
Guidelines. The Summary Guidelines
were designed primarily for retrospective benchmarking of claims, requiring only
a diagnosis, plus a disability duration. On
the other hand, the “Best Practice” Guidelines were designed primarily for
prospective case management, when more details about a case are known, for
example type of therapy, type of job, severity, co-morbidities, etc.
The At-Risk date in the Summary Guidelines should NOT be used for
prospective case management – it may be too late to begin management at that
point. This is the point when the
case has already become an outlier and is at risk of never returning to work, no
matter how effective additional case management may be.
Instead, the At-Risk date may be used as a consistent measure across
different operating units to determine how effective case management efforts
have been against national norms in “beating the guideline”, since unmanaged
cases will tend to become outliers, and hit the At-Risk date.
Beginning with the 2005 edition, a new row was added to the
Return-to-Work Summary Guidelines. This “Summary Guideline” box
brought to the front of each diagnosis experience data that is contained in the
ODG “decile table” (the RTW Claims Data - Calendar-days away from work by
decile), using the 50% number for “Midrange” and the 90% number for
“At-Risk”, and this “decile table” includes only cases that were out
more than 7 days, so that the data is consistent with and comparable to the
claims data that most ODG clients use when benchmarking.
Now these numbers continue to be shown in the Summary Guidelines in the
first row, entitled “Claims data”. In
recent years there has been increased focus on “incidental absence”, those
cases typically out for 7 days or less, that may never become claims under most
workers’ compensation rules or under the eligibility requirements of most
disability benefit programs. Furthermore,
many employers and their vendors have moved to early reporting of absence, in
order to improve early return to work. Because
of this, they are picking up cases in their case mix that never would have been
in their database of reported absence in the past.
In order to provide benchmarking data for these clients, a new row has
been added, entitled “All absences”. This
row uses the 50% number for “Midrange” and the 90% number for “At-Risk”,
covering all absences, and not just cases that were out more than 7 days.
Because this data includes the shorter duration cases, these
“Midrange” and “At-Risk” numbers will generally be shorter than the
previous numbers (which are still being displayed in the “Claims data” row). When
deciding which numbers to apply in benchmarking, users will need to ask
themselves whether or not their own dataset generally includes cases out for 7
days or less. If so, to be
consistent in their application of the national norms, they should use the row
labeled “All absences”. For
some conditions, such as a broken leg, there will not be significant differences
in the numbers in the two rows. For
other conditions where a significant percentage of cases miss less than 8 days,
such as colds or flu, the differences will be substantial. As
before, these Summary Guidelines are followed by ODG’s well-respected “Best
Practice” Guidelines, which have proven indispensable to effective case
management by identifying up front what “pathway” a case is likely to follow Some of
the ways these upfront Summary
Guidelines numbers (typically the At-Risk number) are used is as follows: ·
Reserves:
Estimating duration for purposes of setting conservative reserves. ·
Targets: Selecting a
duration as “the number to hit” or the “the number to beat”. ·
Pre-authorization rules:
Some workers’ compensation
systems use the “At-Risk” date to trigger pre-authorization requirements,
making providers submit approved treatment plans prior to payment, for cases
that have exceeded this limit. ·
Budgeting:
Making an initial prediction of disability duration, and keeping that
prediction, unmodified, in a database in order to compare the eventual actual
duration against that first estimate. ·
Performance reviews:
Using duration as a QA performance standard, as part of the qualitative
evaluation of a few selected case manager files. A powerful way to evaluate the effectiveness of case managers
or teams is to compare actual vs. estimated durations across whole caseloads or
other large groups of claims. ·
Organizational benchmarking:
Using duration as an aggregate system benchmark for median duration of
disability across the whole book of business, and providing top management a
report every month tracking the actual performance of each operating unit
against those benchmarks. In
addition, innovations in claim and case management can be tracked for their
effectiveness in reducing median durations. ·
Client benchmarking: Claims organizations can measure overall
performance, or individual performance, by adding up the actual durations for
all cases and dividing that by the sum of the “at-risk” numbers.
This can also indicate "total days saved”. ·
Grading performance: Sum up all internal claims durations, sum up corresponding
At-Risk durations from ODG Summary Guidelines (with an ICD9 coded At-Risk date
corresponding to each claim), divide the sum of the At-Risk dates minus the sum
of your internal claims durations by the sum of the At-Risk dates, and multiply
the result by 100 to get a percentage score.
For more details on this technique, which is also described in a CE
article in the February 2005 issue of the AAOHN Journal, request a copy of
“Benchmarking Medical Absence” from Work Loss Data Institute, or find it on
the Web at http://www.disabilitydurations.com/benchmarking_lost_time.htm. OTHER
KEY FEATURES
After the Summary Guidelines and Return-To-Work “Best Practice”
guidelines are the following additional features, which appear under each
condition where they apply and there is sufficient data available:
Capabilities & Activity Modifications
Activity Modifications shows condition-specific
modifications for each level of job identified in the “Best Practice”
Guidelines. These are meant to be
used in conjunction with the “Best Practice” Guidelines to determine what
level of job is appropriate and for how long.
For example, if “Severe, clerical/modified work: 0-3 days” appears,
then look at the definition of “clerical/modified work” for job
modifications used to prevent re-injury. Then,
“Severe, manual work: 14-17 days”, about two weeks later the worker
may transition to work defined under “manual work”.
Physicians can copy & paste these restrictions into a RTW form for
use by employers, and all parties (doctors, patients, employers, and insurers)
use them as a communication tool to create shared expectations.
They can also facilitate return to modified duty, which is often a
critical first step in the return-to-work process.
Description and Other Names For
most common injuries and illnesses there is a description of the diagnosis,
along with common symptoms, causes, and complications, using terminology
understandable to non-medical personnel. Common
names for this diagnosis are also provided. ICD-10
Codes ICD-10
Codes are next, providing complete ICD-10 translations for each condition (Web
version only).
Procedure Summary (from ODG Treatment)
This section lists procedures and other topics relevant to this
diagnosis, as they appear in the Procedure Summary of ODG Treatment in
Workers' Comp. (In the Web version each procedure is a hyperlink going
directly to that entry.) The
Procedure Summary is the most important section in ODG Treatment, and the
first two sections, the Treatment Protocols and the Codes for Automated
Approval, are based on the conclusions from the evidence in the Procedure
Summary. The Procedure Summary
lists all possible therapies and diagnostic methods, as well as other issues
that apply for each condition, and provides a summary of the latest evidence
from the highest quality medical studies. The
studies providing this evidence are referenced so that they can be consulted
directly, and if necessary, copied into a claims report.
For each condition, there may be as many as 100 separate listings covered
in this fashion. Many of these
procedures are being performed regularly, but are not supported by the quality
medical evidence as summarized in this guideline, and in some cases, are proven
to be harmful. When patient
selection is important to the success of a procedure, the criteria for patient
selection is also outlined, and the appropriate study is referenced.
In supporting decisions to approve or deny medical services, users of ODG
Treatment can go beyond quoting a set of guidelines, and copy and paste the
results of the actual study, taking "evidence based medicine" to its
logical end point. Clicking on the
hyperlinks (containing author name and study year) in the Web version of the
Procedure Summary will take the user directly to the studies supporting that
statement. These reference
summaries, including an abstract, plus the WLDI evaluation and rating of the
reference, are in alphabetical order for those who want to browse them all, and
important points in the study are highlighted.
WLDI uses a proprietary rating system to evaluate the quality of the
studies, ranging from 1a to 11c. Within
the Procedure Summary there are specialized guidelines for various topics that
stand out because they are highlighted in light blue.
For surgical procedures that may be supported by high quality medical
studies, ODG Treatment presents a decision matrix called “ODG Indications for
Surgeryä”
that itemizes the decision-making process and patient selection criteria for
successful outcomes from the surgery. Also
within the Procedure Summary there is another specialized guideline for various
topics that stands out in light blue. Contained in this section, where appropriate under imaging
procedures, such as Radiography, Magnetic resonance imaging (MRI), or
Ultrasound, are the recommended criteria for those modalities.
Causality Likelihood Based
on the raw data, causality likelihood indicates what percentage of total lost
workdays were occupational (Web version only).
The data sets used for this calculation are OSHA lost workdays per 100
workers (for cases meeting the requirements as an OSHA recordable injury or
illness), and CDC NHIS lost workdays per 100 workers (for all cases, including
non-occupational illnesses and injuries) from these two ODG databases through
the 2004 edition. (Methodology
differences make this comparison difficult using data after 2004.)
When the causality likelihood percentage is large, cases with that
diagnosis are likely to be occupational in nature.
This indicator may be used as an aid in evaluating causality, but any
definitive determination of causality requires analysis of the specific details
of each case. Hospital
Costs Hospital
Costs are next, showing average hospital costs for each condition, including
total number of cases per sample (Web version only). Average costs are shown for each condition where
there is sufficient data, and the number of cases is shown for the most recent
year. These costs are from the
Healthcare Cost & Utilization Project (HCUP), produced by the U.S.
government Agency for Healthcare Research and Quality (AHRQ).
The costs only cover cases that were hospitalized.
For conditions where there are not enough cases of hospitalization to
estimate average costs, no medical costs are shown.
Hospital Length Of Stay Also
from the Healthcare Cost & Utilization Project (HCUP), average Hospital
Length Of Stay is shown for the most recent year (Web version
only). Note:
when using these numbers as benchmarks, it is important to use the most current
edition of ODG, because there has been a continued decline in hospital length of
stay, but a significant increase in average medical costs.
For selected workers’ comp conditions, average hospital length of stay
will also be shown for surgical procedures done as an inpatient, along with the
ICD9 procedure code for those procedures. (For
hospital procedures, the ICD9 procedure coding system is used, whereas for
physician office procedures, the CPTâ
coding system is used.)
Procedure
Codes Procedure Codes commonly
performed for each condition are listed (Web version only).
Case Management Triage
Case Management Triage priority indicators are next (Web version
only). Each condition has a
heading, “CM Triage”, which uses algorithms applied to the raw data to label
each condition with priority indicators: Level
1 - "Low Touch", Level 2 - "Case Management", or Level 3 -
"Long Term Planning". Level
1 conditions (66%) don't require initial management.
If they reach their inflection point without resolution, they become
Level 2 and require CM. Level 2 (17%) benefit immediately from CM, and Level 3 (17%)
cases are anticipated to be long-term, with a large percentage out for a long
period, allowing advance planning with respect to paperwork, reserves, SSDI,
etc. Copies of the algorithms are
available in electronic versions of ODG. Physical
Therapy Guidelines, showing recommended frequency and duration of PT visits are
next. Only
appropriate conditions have physical therapy
guidelines. These guidelines
provide evidence-based benchmarks for the number of visits with a physical or
occupational therapist and the period of time during which these visits take
place. (Note: These guidelines do
not include work hardening programs.) The
physical therapy guidelines do not describe the type of therapy required, and
the number of visits does not include physical therapy that the patient should
perform in their own home or work site, after proper training from a clinician.
Unless noted otherwise, the visits indicated are for outpatient physical
therapy, and the physical therapist's judgment is always a consideration in the
determination of the appropriate frequency and duration of treatment.
Support for the physical therapy guidelines is relevant medical
literature and actual experience data, combined with consensus review by
experts. The most important data
sources are the high quality medical studies that are referenced in the
treatment guidelines, ODG Treatment in Workers’ Comp, within the
Procedure Summaries of each relevant chapter, summarized under the entry for
“Physical Therapy.” For
clinical trials that show effectiveness for these therapies, the number of
visits required to achieve this are isolated from each study and combined with
the same information from other successful studies to arrive at the benchmark
number of visits in ODG. There are a number of overall physical therapy philosophies that may not be specifically mentioned within each guideline: (1) As time goes by, one should see an increase in the active regimen of care, a decrease in the passive regimen of care, and a fading of treatment frequency; (2) The exclusive use of "passive care" (e.g., palliative modalities) is not recommended; (3) Home programs should be initiated with the first therapy session and must include ongoing assessments of compliance as well as upgrades to the program; (4) Use of self-directed home therapy will facilitate the fading of treatment frequency, from several visits per week at the initiation of therapy to much less towards the end; (5) Patients should be formally assessed after a "six-visit clinical trial" to see if the patient is moving in a positive direction, no direction, or a negative direction (prior to continuing with the physical therapy); & (6) When treatment duration and/or number of visits exceeds the guideline, exceptional factors should be noted.
As described above, for more detail users should refer to ODG Treatment in Workers’ Comp, within the Procedure Summaries of each relevant chapter, for recommendations about specific treatments and modalities, along with supporting links to the highest quality relevant medical studies, which have been summarized, rated, and highlighted. In these Procedure Summaries ODG covers many different types of treatments that can be supported by the medical evidence, and it also identifies the maximum number of visits that can be justified by the evidence; however, this does not mean that a provider should do every possible treatment that may be recommended (actually, this would be highly unlikely since different specialties would be required), or always deliver the maximum number of visits, without taking into account what was needed to cure the patient in a particular case. Furthermore, duplication of services is not considered medically necessary. While the recommendations for number of visits are guidelines and are not meant to be absolute caps for every case, they are also not meant to be a minimum requirement on each case (i.e., they are not an “entitlement”). Any provider doing this is not using the guidelines correctly, and provider profiling would flag these providers as outliers. This applies to all types of treatment, and not just physical therapy. Furthermore, flexibility is especially important in the time frame recommendations. Generally, the number of weeks recommended should fall within a relatively cohesive time period, between date of first and last visit, but this time period should not restrict additional recommended treatments that come later, for example due to scheduling issues or necessary follow-up compliance with a home-based program. When there are co-morbidities, the same principles should apply as in the ODG guidelines for return-to-work. See Additional note on co-morbidities at the end of the description of the Return-To-Work "Best Practice" Guidelines. In estimating the maximum number of treatment visits for workers with multiple diagnoses, users should use the number from the diagnosis with the longest number of visits. This assumes that whatever separate therapy, if any, that the lesser diagnosis requires, it can be done during the same visits addressing the more serious problem. If there are reasons why these therapies cannot be concurrent, documentation should support medical necessity. For example, in unusual cases where co-morbidities involve completely separate body domains, requiring separate treatments that would be difficult to combine, either additional visits or additional time for a visit may be justified. [For the purpose of this discussion, we would assume there could be only three separate body domains: (1) spine and pelvis; (2) upper extremity and hands; & (3) lower extremity and feet.] Of course, each billed treatment should require one-on-one patient contact with the licensed therapist and not include modalities/exercises that the patient has learned to do on their own without supervision, and there should also be some economies of scale such that the involvement of two body domains should not require either a doubling of the number of visits or a doubling of the modalities (or time) per visit. Also see Multiple incidences of disability duration in the same section for recommendations regarding number of treatment visits, for example, physical therapy, in these situations. And physical therapy visits post surgery should be considered separately from visits used up in an attempt at conservative treatment that might have avoided surgery.
Physical medicine treatment (including PT, OT and chiropractic care)
should be an option when there is evidence of a musculoskeletal or neurologic
condition that is associated with functional limitations; the functional
limitations are likely to respond to skilled physical medicine treatment (e.g.,
fusion of an ankle would result in loss of ROM but this loss would not respond
to PT, though there may be PT needs for gait training, etc.); care is active and
includes a home exercise program; & the patient is compliant with care and
makes significant functional gains with treatment. Chiropractic
Guidelines
Chiropractic
Guidelines are next, showing recommended frequency and duration of
chiropractic care. These
guidelines provide evidence-based benchmarks for the number of visits with a
chiropractor and the period of time during which these visits take place.
Support for the chiropractic guidelines is relevant medical literature
and actual experience data, combined with consensus review by experts.
The most important data sources are the high quality medical studies that
are referenced in the treatment guidelines, ODG Treatment in Workers’ Comp,
within the Procedure Summaries of each relevant chapter, summarized under the
entry for “Manipulation.” For
clinical trials that show effectiveness for manipulation, the number of visits
required to achieve this are isolated from each study and combined with the same
information from other successful studies to arrive at the benchmark number of
visits in ODG. Another major source
was the “Mercy Guidelines”, the consensus document created by the American
Chiropractic Association in conjunction with the Congress of State Chiropractic
Associations, entitled Guidelines for Chiropractic Quality Assurance and
Practice Parameters, Proceedings of the Mercy Center Consensus Conference.
Many of the general philosophies described above under “Physical
Therapy Guidelines” should also apply to the chiropractic guidelines.
More specifically, in addition to a “six-visit clinical trial”, every
six visits thereafter the treating physical or
occupational therapist/chiropractor should validate improvement in
function as it relates to the patient’s essential job functions, hours
working, health related quality
of life indicators (e.g. Oswestry)
or a standard pain scale in order for treatment to continue.
Pain reduction should
be accompanied by improved function and/or reduced medication use.
For other general guidelines that may apply to chiropractic care, also see Physical Therapy Guidelines.
Workers’ Comp Costs per Claim
Indemnity costs, medical costs and total costs per claim for over 2000
ICD9 diagnosis codes seen in workers’ comp are provided. Within each cost
category ODG shows the cost distribution by quartile (25%, 50%, and 75%), the
mean (or average) costs, and the percentage of claims with no costs in that
category, plus total number of claims that the cost data is based.
It includes almost 2 million claims from WLDI’s multi-year multi-state
workers’ comp database, and it covers almost 50 million paid invoices on
medical encounters for those claims. The
medical costs cover multiple categories, including office visits, surgeries, PT,
pharmaceuticals, hospital, durable medical equipment, etc.
They are from medical provider bills that were approved and paid, but not
bills from MCO's, so they do not include the cost of managed care services (bill
review, case management, UR, etc). When
there are multiple ICD9 diagnostic categories in a claim, all costs for that
claim are assigned to the most severe ICD9 code, using the ODG disability
duration database to identify the most severe ICD9 code.
These medical costs represent a total of $10.0 billion dollars in actual
incurred costs, and the indemnity costs represent a total of $7.2 billion
dollars in actual incurred costs, for a total of over $17 billion of workers’
compensation costs.
Age Adjustment Factors Age Adjustment Factors are next, where
there is sufficient raw data, in a boxed table providing condition-specific multipliers
important for the aging workforce, plus the At-Risk date pre-adjusted by the
multipliers. Most experts believe
it is reasonable to modify return-to-work by multiplying the value from the
appropriate category, ideally using the “Best Practice” Guidelines, by the
value for the corresponding age of the patient.
RTW Claims Data RTW
Claims Data for benchmarking is the table formerly called “RTW Raw Data by
Decile (with 7-day waiting period)”, showing days away from work by decile (10
percent of claims back by tenth day, etc.), including mean.
This boxed table displays the disability
duration data by decile for only those cases with over 7
lost workdays. The 7-day cut-off
was chosen so the data would be comparable to the most common reporting systems
used for short-term disability, which have a 7-day waiting period.
Showing calendar days off by percentile allows meaningful benchmarking of
disability claims experience data, to identify opportunities for improvement.
On the other hand, the bar chart for Integrated Disability Durations raw
data shows all the disability duration
data, starting at 1 day missed, and the footnote to that bar chart even
identifies cases with no missed work.
RTW Post Surgery
This table is the same format as the RTW Claims Data above, but it shows
disability duration data after selected surgical procedures that may be commonly
done for this condition. These
durations only include cases where the specific procedure was performed when the
primary diagnosis was the ICD9 diagnosis code indicated above.
Consequently, the post-surgical disability durations in ODG may vary for
the same procedure when it appears under different ICD9 diagnosis codes.
Integrated Disability Durations Raw Data Integrated
Disability Durations raw data is next, including Length of Disability Data from
CDC NCHS (Centers for Disease Control National Center for Health Statistics),
charting disability duration data for all cases from the National Health
Interview Survey. The “Impact on
Total Absence”, based on this data, is under this table showing impact on
total absence for each condition (total incidence and prevalence data).
The two
length-of-disability databases are each provided in a similar format, with
summary information plus a graphical representation of the actual data using
bar-chart format. The bar charts
for each of the two different databases are of two different widths so they can
be quickly distinguished from each other. Typographical
differences are used to distinguish the disability databases from the ICD9
database, which serves as the organization of ODG, and the framework upon
which the disability databases rely. Whereas
the ICD9 data is in serif type, left-justified format with tabs denoting
its hierarchical structure, the disability data is in smaller san serif type
and centered.
The first database to appear is labeled Integrated Disability Durations.
These include cases of calendar days away from work.
Four data summaries are shown -- median (mid-point), mean (average), mode
(most frequent), and calculated rec. This
data is reflective only of those cases that report at least one day of lost work
within the previous year (cases with no lost work have been excluded from
calculations). The calculated recommendation data is a calculation that
takes into account the other three summary data points, giving extra weight to
the median. Following these summary
calculations is a bar chart showing "Percent of Cases".
The bar chart always has 14 bars. Depending
on the data, there may be a bar for each length, e.g., "1 day",
"2 days", etc., with the last bar showing "14 and more
days". If 14 days is not long
enough to show the detail, a different scale is used, saying "Range of Days
(up to)". For example "3" means "1 to 3 days", then
"6" means "4 to 6 days", etc. There may be a footnote to the bar chart if any cases were
reported with no lost work, saying "cases with no lost workdays" with
the percent of total cases, including the cases indicated graphically on the bar
chart.
This data is also the basis for several other presentations of raw data.
The heading "Impact on Total Absence" provides incidence and
prevalence data for each diagnosis, as well as for higher-level groups of
diagnoses. The prevalence data
provides the frequency of a diagnosis in percent, by dividing the total lost
workdays for that diagnosis by the total lost workdays for all diagnoses.
The incidence data equates this prevalence rate to total lost days per
year per 100 full time equivalent workers, using base absence data described
below. With this data, users can
easily target those conditions that have the largest impact on productivity and
profitability. Total lost-work days, for any unscheduled absence
due to illness or injury (including sick leave, short and long term disability,
and workers’ compensation), add up to 1,050 days per 100 workers (or 10.5 days
per worker, equating to an absence rate of 4.2% assuming 250 work-days
annually). This does not include
scheduled absences (e.g., vacation, holidays, certain leave-of-absence) or
unscheduled absences due to other causes (e.g., personal reasons, care of a
family member, “no-shows”, absences caused by an “entitlement”
mentality). Other sources of
absence data vary somewhat from this benchmark of 4.2% -- some are higher and
some lower. A survey of very large
employers by Mercer resulted in an estimate of 4.4%[3],
and this estimate includes workers’ comp medical costs and vendor
administrative charges, plus the average employer size was over 5,000 employees.
BNA’s annual survey shows a much lower rate, 1.7%[4],
but this is based only on absences reported to the human resources department,
and it covers a cross section of U.S. employers, including smaller companies
without a rich benefit structure. The
results of CCH’s annual survey were slightly higher than BNA’s at 2.2%[5],
with a similar methodology to the BNA survey.
The highest rate of all was reported by the annual Watson Wyatt survey
done in conjunction with the Washington Business Group on Health, showing 6.3%[6],
but this survey is very much weighted toward the largest employers and those
with the most generous benefit structures.
It should be noted that, despite their widely differing estimates, the
above studies are all based on surveying employers. On the other hand, ODG is based primarily on
actual data reported to the federal government.
Occupational Disability Durations Raw Data Occupational
Disability Durations raw data is next, including OSHA DAW Data (Occupational
Safety and Health Administration Days Away from Work), providing lost time
statistics on work-related disabilities as reported to OSHA, and calculating
estimated workers’ compensation indemnity costs for each condition.
The “Impact on Occupational Absence”, based on this data, is under
this table showing impact on occupational absence (occupational incidence and
prevalence data). This
second database is based on reports by employers of missed workdays for
occupational related injuries and illnesses.
Only a median is provided for this data and the bar charts always have 7
columns. Beginning with the 2005
edition of ODG, OSHA now uses calendar days in its surveys.
At the request of ODG users, a benchmark indemnity cost estimate
is provided along with all OSHA tables. These
costs are based on the State Average Weekly Wage (SAWW) used by the Texas
Workers' Compensation Commission ($539). These costs do not include medical costs, but only the
indemnity (lost work) portion of workers' comp costs.
The total benchmark indemnity costs include both direct costs, the actual
wages paid, as well as indirect costs, which include the costs of replacement,
rehiring, retraining, overtime, down time, lost productivity, and infrastructure
costs to manage current systems. Total costs including indirect costs have been estimated to
be five times the direct costs, based on industry studies (Kalina, AAOHN
Journal, August, 1998, page 385, and Guidotti, American Medical Association,
Occupational Health Services, 1989).
Of course, the percentage of indirect costs will vary considerably from
industry to industry. The OSHA data is the basis for the data following
the heading "Impact on Occupational Absence".
The prevalence rate is the total occupational lost workdays for that
condition divided by the total occupational lost workdays for all conditions.
The incidence rate is based on applying the incidence to total lost
work-days for workers' comp cases based on data from NIOSH (the National
Institute for Occupational Safety & Health). FINDING
THE RIGHT CONDITION
The framework for the main section of ODG,
"Disability Guidelines", is the same as the ICD-9-CM, and each
of the other three databases which provide disability durations are linked to
the appropriate ICD9 for which they apply.
Official ICD9 data is organized by code number.
These codes are hierarchical and may be three, four, or five digits, or
may be at the group level, depending on the detail required, and they are
grouped together for similar conditions. The
"At a Glance" Tables of Contents indicate where each major section
begins.
There are three ways to find the correct section of "Disability
Guidelines" using ICD9 codes, as follows:
1) Medical Record
Virtually all medical records and billing forms should have an ICD9 diagnostic
code for the patient. These codes
may not have a decimal point, and they may be padded out to 5 digits on the
right with zeros. For example code
"57200" would actually be "572.0" in the list of ICD9 codes,
which are presented in numerical order by code.
2) Tables of Contents
Using the "At a Glance" Table of Contents for Major Categories in ODG,
it is possible to identify the major classification, e.g., "Diseases of the
Digestive System". Then, the
"At a Glance" Table of Contents for 3-digit Group Level Ranges will
reveal the major sub-heads, such as "Appendicitis (540-543)".
Reading the detail within the sub-head will help locate the correct code
because inclusions and exclusions are spelled out.
3) Keyword Index
At the end of ODG is an "ICD9 Keyword Index", which takes every
word in the description plus the inclusions for an ICD9 code, and identifies
that code along with its page number in the main section of ODG.
The Keyword Index also contains procedures referred to in the "Best
Practices" section of each diagnosis.
Reviewing the information in the main section will confirm that the code
is correct, as well as allowing access to the disability duration data for that
code.
It should be noted that, whereas the main section of ODG includes
ICD-9-CM "Volume 1, Tabular List" verbatim, the ODG
"Keyword Index" is not the same as the ICD-9-CM, "Volume
2, Index to Diseases and Injuries". The
ODG index allows more powerful searching; for example, the word
"rotator" will help locate "rotator cuff tendonitis" in ODG
and in Volume 1 of ICD9, but there is no such heading in Volume 2 of ICD9. EVALUATING
THE DATA
The ICD9 headings in ODG are complete -- every bit of detail in
the official version is included. The
raw data appears wherever there is collected data for that ICD9 code.
This means some codes may have information from all three, from two, from
only one, or not from any of the three databases.
Of course, if no data appears that probably means that the diagnosis is
very rare, it is unlikely that you would ever look up information for that
diagnosis, and if you did, there is probably not enough experience to develop a
reasonable estimate.
It is also possible that the data may not be available at the detailed
diagnosis level, and a higher level, broader diagnosis should be checked.
For example, HCUP hospital length-of-stay data are usually available at
the 4-digit level, but the disability duration data may not be.
It may be necessary to go up to the 3-digit level to find disability
duration data. Sometimes the
disability duration data is clustered at a 4-digit level ending in
"9", for "unspecified". It may even be necessary to go back to a group level (a range
of 3-digit codes) to find OSHA data, because the OSHA form is not always as
specific in the diagnosis as ICD9 codes allow.
In evaluating the data that does appear, it is important to note the
number of cases. Data is presented whenever it exists, so some sample sizes
are large and some are small. The
size of the sample is valuable for determining the relative frequency of a
diagnosis. If it is very small, the
diagnosis is rare. Perhaps that is
not the best diagnosis to select, and there is a better, more common one not far
away. The number of cases is also
important in evaluating how well that data should predict disability durations
in every case.
The bar charts showing detail are valuable in determining how to apply
the data in your own situation. For
example, the data may clump around several different points, indicating that
there may be other variables, which could make the duration, be either
"short" or "long". The
most common point, the highest bar or the "mode", is also useful.
For example, a disease may have a median duration of 2 days, but 1 day is
the most likely duration for most cases.
Differences in the three databases for the same or similar conditions are
also worth noting. For some diagnoses, for example Carpal Tunnel Syndrome, the
OSHA days are longer than the self-reported days, possibly because incentives
under Workers’ Comp may delay how quickly workers return to work when their
injury is related to their work, than if it might have been caused outside of
work. Since the OSHA data is occupationally related, the incidences
are much higher for injuries and illnesses that are "work-related".
The HCUP Hospital length of stay is provided as another benchmark for
comparison with the two disability duration databases.
For conditions in which hospitalization is the norm, the hospital length
of stay may show how much of the total length of disability may be spent in the
hospital. For many conditions this
will not be true since the hospital data only shows cases where admission to
hospital occurred, whereas the disability duration data shows all cases.
In situations where the number of HCUP hospital cases is much smaller
than the number of disability duration cases, it would appear that
hospitalization is unlikely. OTHER
VERSIONS OF ODG
Official Disability Guidelines
is also available in a "Top 200 Conditions" version.
This book covers those diagnoses that represent about 75% of all lost
workdays. With its smaller size, it
is more portable than the complete edition, and it is easier to find the more
common conditions. Of course, information on the vast majority of conditions is
missing. Raw data from ODG
is also available for licensing on computer tape or CD-ROM.
With electronic versions of Official Disability Guidelines, users
can link into the ODG disability duration data as they bring up each of
their computerized cases. Of
course, a Web-based version is available, so that users can access ODG
from any location using a secure login and password.
ODG is also available as an integrated treatment disability
duration guideline, ODG Treatment in Workers’ Comp (ODG – TWC). For assistance in using this publication, or information on other services, please call 1-800-488-5548.
Copyright © 2008 by Work Loss Data Institute Printed and bound in the United States “Official Disability Guidelines” and
“ODG” are trademarks of Work Loss Data Institute Work Loss Data
Institute is an independent organization dedicated to providing comprehensive
evidence-based disability information. All
rights reserved. No part of this
publication may be reproduced, stored in a retrieval system, or transmitted, in
any form or by any means, electronic, mechanical, photocopying, recording, or
otherwise, without prior written permission from the publisher.
While the publisher and the publisher's editorial contributors have
attempted to provide accurate information, they freely admit the possibility of
error, and will not accept liability for incorrect information.
The publisher is not engaged in rendering medical, legal or other
professional advice. These
publications are guidelines, not inflexible proscriptions, and they should not
be used as sole evidence for an absolute standard of care. Guidelines can assist clinicians in making decisions for
specific conditions and also help payors make reimbursement determinations, but
they cannot take into account the uniqueness of each patient's clinical
circumstances.
[1]
Reference Manual on Scientific Evidence, Second Edition,
Federal Judicial Center 2000, page 86. [2]
Above, page 236 [3]
2001 Survey on Employers' Time-Off and Disability Programs, April
2002, Mercer Human Resource Consulting and Marsh USA.
“The total direct cost of unscheduled absence is 4.4 percent of
payroll in direct expenses (that is, including salary continuation, benefit
payments, and, in some cases, vendor administrative charges). Included in
this category are incidental absence/sick days, salary continuation, STD
benefits, LTD plans, and workers’ compensation coverage (including
work-related medical costs). A total of 476 US employers, in a wide range of
industries, provided information for the survey. Almost two-thirds of the
respondents have multi-state locations. The average number of employees
covered in the plans described by respondents is 5,577.” [4]
BNA's Survey Of Job Absence, March 20, 2001, Bureau of National
Affairs. “Absenteeism in 2000
was little changed, on the whole, from a year earlier, signaling an apparent
end to the upward trend in job absence observed in 1998 and 1999, according
to a survey conducted by BNA, Inc. Median monthly rates of unscheduled
absence averaged 1.7 percent of scheduled workdays last year.
BNA's survey of job absence has been conducted quarterly since 1974.
Absence rates for 2000 are based on responses from 170 human resource and
employee relations executives representing a cross section of U.S.
employers, both public and private. Job absence, for the purposes of the
survey, excludes holidays, vacations, and other scheduled leave. “ [5]
2001 CCH Unscheduled Absence Survey, October 23, 2001, CCH
Incorporated “According to
the latest CCH survey, conducted by Harris Interactivesm,
absenteeism rates rose slightly – increasing from 2.1 percent in 2000 to
2.2 percent in 2001 – while the average per-employee cost of absenteeism
rose sharply from $610 per year in 2000 to $755. The survey, conducted May
31 through June 21, 2001, reflects experiences of HR executives in U.S.
companies and organizations of all sizes and across various businesses and
not-for-profit industry sectors.” [6]
The Staying @ Work Survey, December 12, 2000, Watson Wyatt,
“Average Direct Costs of Disability in Percentage of Payroll: 2.5% Workers’
compensation, 1.7% Sick pay, 1.5% STD, 0.6% LTD, 6.3% Total
for 1999/2000. 178 participating companies: 52% 1,000 to 4,999 employees,
18% 5,000 to 9,999, 30% 10,000+.”
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