|
MedDRA 13.1 |
MedDRA 13.0 |
MedDRA 12.1 |
MedDRA 12.0 |
LLT |
68661 |
68258 |
67503 |
66135 |
PT |
18919 |
18786 |
18641 |
18075 |
HLT |
1709 |
1709 |
1699 |
1688 |
HLGT |
335 |
335 |
333 |
332 |
SOC |
26 |
26 |
26 |
26 |
Medical coding : (or Term
Harmonization) Different Trial Sites, Different culture and
Time-zones, Different investigators(physicians) and various
other factors leads to variations in the Research Data entered
in particular fields. Few of these data like Adverse event
and Disease History is essentially entered as free text
and thus coding is an essential method to harmonize all these
data so that it is analysed properly. The data entered is
compared and matched with standard libraries or dictionaries and
updated with a data which is uniform and acceptable. Coding may
be done automatically (Computer Aided) , manually or a
combination of both.
This medical coding is different : If you search
for "medical coding" on web , you will be driven to websites which deals with
the ICD or CPT medical coding which is different from the coding in clinical
trials. The ICD (9,10 etc.) medical coding deals with mapping various medical
diagnosis and procedures to codes. This mostly deals with medical insurance data
and medical billing. The ICD or CPT coding is out of scope here in this
tutorial.
Dictionaries are essential for medical coding. These medical dictionaries
contains standardized database with which the verbatim terms entered in
the CRF's is matched. Few Clinical research organizations even keep their own
customized dictionary e.g. Drug dictionary .
Various Medical Dictionaries / Thesaurus :
Dictionary / Thesaurus name |
Full name |
Primary Use |
WHOART |
World Health Organization Adverse Reaction Terminology |
Adverse event (AE) coding |
COSTART |
(FDA’s) Coding Symbols for a Thesaurus of Adverse Reaction Terms |
Adverse event (AE) coding |
MedDRA |
Medical Dictionary for Regulatory Activities Terminology |
AE / Med. History / Terms coding |
ICD (9, 10, 10 CM etc.) |
International Classification of Diseases (9th / 10th Revision / 10th
revision - Clinical Modification) |
Medical diagnosis and procedures coding |
WHODD |
World Health Organization Drug Dictionary (B1, B2, C) |
Medication coding (concomitant) |
These Dictionaries follow a hierarchal structure for coding. Medical
Dictionaries are updated and comes with a newer version periodically.
In what form is it available ? : Consider the case of MedDRA where
Dictionary is supplied as bunch of flat ASCII files ($ character separated) with
proper documentation and defined data types, so that any standard database
system can easily import the file e.g. Create a Oracle template (DBT) using the
MedDRA documentation and import the dictionary.
MedDRA browser is available as a download from MSSO Website, for those who need
to do manual coding. The MedRA ASCII files can be imported to the local computer
and used for coding. Automatic coding systems however requires these ASCII data
files to be imported to some RDBMS like Oracle, MySQL, PostGRE SQL or as SAS
Datasets. Example > MedDRA
table structure SQL >>>
WHO-DD is similarly distributed as ASCII files as well but unlike the MedDRA ascii, the data is organised in fixed positions and is not character separated e.g. in a data row, the characters between 10 to 20 may always contain the Drug name and next characters from 20 to 25 may hold the identifiers of the drug.
WHODD browser is also available and it comes with a fat price tag.
Automatic coding (auto-coding) : The complexity of medical terms renders
autocoding quite a failure. The "text (verbatim)" terms entered into the system
is matched with the terms found in the dictionaries. Autocoders are efficient
with "exact" or '100%' matches for the verbatim
term and miss-spellings will lead to erroneous or no result. Its not a good idea
to rely on autocoding entirely (especially when dealing with medical terms) and
the results of Higher level terms sometimes turns out to be funny. Autocoders
get confused if two terms are reported simultaneously e.g.
fever and
rash or
fever &
rash ; this kind of data entry can't be avoided because clinicians are
used to such kind of data recordings.
Mostly the autocoders follow fixed and limited algorithms for the medical coding
(algorithms are programmed by Software professionals who doesn't care about the
essence of Medicine and hence such algorithms turns out to be waste) . The
typical algorithms include text replacements (e.g mild
raised temp. and low grade fever is
transformed to mild fever) , text removal (e.g.
low fever changed to fever),
numeral removal (e.g. fever-104 replaced with
fever).
Another existing problem with most of the autocoding systems is that they tend to apply a common algorithm for various dictionaries that is used for coding within the system. For example when MedDRA and WHODD is used to code AE's and Drug names respectively, a common algorithm for both the dictionaries will yield erroneous result. Few reasons for errors are listed below:
1. Drug names are not always unique (exact text match fails). In fact more than 12,000 drug names are non unique !
2. Same drug may have multiple ATC codes.
3. Similar named drug from the same company may have different ingredients in different countires.
4. Similar named drug from the same company may have different dose strengths in different countires.
5. Similar sounding Drugs may entirely be different.
A combination of auto and manual coding always works for fast and better
results.
Medra terms: (details later in this page)
LLT : Lower level terms HLT : Higher level terms HLGT : Higher level group
term SCT : Super class term SOC : System organ class |
Example :
Toothache (LLT)
Toothache (PT)
Dental pian and sensation disorders (HLT)
Dental and Gingival conditions (HLGT)
Gastrointerstinal Disorders (SOC) |
Example 2:
Back pain (LLT)
Back Pain (PT)
Musculoskeletal and con. tissue signs and symptoms NEC (HLT)
Musculoskeleteal and connective tissue disorders NEC (HLGT)
Musculoskeletal and connective tissue disorders (SOC) |
COSTART terms: (details later in this page)
RT :Reported Term
ET :English Term
SBS :Sub-Body System
PBS :Primary Body System |
|
|
WHODD: WHODD is available in now available
in 2 formats - B and C. Previously format.
A was available which is now obsolete. C is the current format and is
been in place since last 4-5 years; it contains more information than B format.
B is still in place as the older set ups find it difficult to migrate to C yet.
For coding of the therapeutic use of drugs, Anatomical Therapeutic Chemical
classification (ATC) is used. Each drug is assigned at least one ATC
code. ATC - Anatomical-Therapeutic Chemical Classification that is the parts and
systems of the human body where the drug might have an effect.
WHO Dictionaries :
1. WHODD : WHO Drug Dictionary
2. WHOHD : WHO Herbal Dictionary
3. WHODDE : WHO Drug Dictionary enhanced
ATC codes : The classification categorises substances at five different
levels according to the organ or system on which they act and their chemical,
pharmacological and therapeutic properties. There are fourteen main groups (1st
level), with one pharmacological/therapeutic subgroup (2nd level). The 3rd and
4th levels are chemical/pharmacological/therapeutic subgroups and the 5th level
represents the chemical substance
Anatomical Therapeutic Chemical groups - first level
A Alimentary tract and metabolism
B Blood and blood forming organs
C Cardiovascular system
D Dermatologicals
G Genito urinary system and sex hormones
H Systemic hormonal preparations, excl. sex hormones and insulins
J Anti-infectives for systemic use
L Antineoplastic and immunomodulating agents
M Musculo-skeletal system
N Nervous system
P Antiparasitic products, insecticides and repellents
R Respiratory system
S Sensory organs
V Various
Example : Roxithromycin
Level |
Code |
Content |
|
1 |
J |
ANTIINFECTIVES FOR SYSTEMIC USE
|
Anatomical main
group |
2 |
J01 |
ANTIBACTERIALS FOR SYSTEMIC USE |
Therapeutic
subgroup |
3 |
J01F |
MACROLIDES,
LINCOSAMIDES AND STREPTOGRAMINS |
Pharmacological
subgroup |
4 |
J01FA |
MACROLIDES |
Chemical subgroup |
5 |
J01FA06 |
ROXITHROMYCIN |
Chemical substance |
|