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Technical
Description of Pain Survey Clinical Study (For Medical Professionals)
This
clinical study will evaluate pain location, quality of pain
and functional disability in subjects with chronic pain.
Subjects will be identified in this portion of the study
using the Internet, but other components of the study will
use a variety of enrollment methods, including newspaper
advertising, medical clinics, doctors’ offices, and
public recruitment drives. Informed consent will be obtained
in all subjects. No therapies will be disallowed and no
study drug will be administered. Pain shapes drawn by study
subjects will be analyzed by computer to provide automated
identification of body location and other statistical measures.
These data will be analyzed together with body-location-specific
data on the nature of the symptoms and the functional disability
associated with pain. Subjects will be allocated to data-driven
pain patterns of potential diagnostic value.
The
highest ethical standards will be followed in this study.
This study will be conducted in compliance with 1) Good
Clinical Practices (GCPs), 2) the most recent version of
the Declaration of Helsinki, 3) the approval of an Institutional
Review Board (IRB) in accordance with the US Code of Federal
Regulations, and 4) a Confidentiality Certificate (CC) from
the US government. Confidentiality of personal data on study
subjects will be stringently protected. All personal study
subject data collected and processed for the purposes of
this study will be managed by the investigator and the investigator's
staff with adequate precautions to ensure the confidentiality
of those data, and in accordance with applicable US federal
and/or local laws and regulations on personal data protection.
Access to individual data on study subjects will be made
available to the IRB or other agents only as permitted by
the confidentiality commitments to study subjects and by
applicable law and regulations. In any presentation of the
results of this study at meetings or in publications, the
subjects’ identities will remain confidential.
Subjects
must be adults with chronic pain (defined in this study
as: "constant or recurring pain lasting more than 30
days and causing significant discomfort or limitation of
activity"). There is no generally accepted definition
of chronic pain -- different definitions use durations of
anything from 30 days to 6 months. The analysis of this
study will examine the results separately for different
durations of chronic pain.
Key
features of the study include:
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Subjects
will make pain drawings that will be analyzed by subsequent
computer analysis.
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Data
on pain symptoms and functional disability will also
be collected.
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Preliminary
work by TMT has confirmed the generally accepted view
that the cause of chronic pain is substantially related
to the part of the body where the pain is felt, to the
nature of the pain symptoms experienced, and to the
associated functional disability. However, no
systematic study has been performed where pain location
has been precisely characterized and then correlated
with pain symptoms and functional disability. The availability
of TMT's novel computer analysis system now makes such
a systematic study possible.
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Subjects
will be allocated to data-driven pain patterns associated
with pain location, pain quality, functional disability,
and combinations of these three variables.
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The
relationship of pain duration, age, sex and geographic
location to the above pain patterns will be evaluated.
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Data
from each enrollment method (advertisements in local
newspapers, medical clinics, doctors’ offices,
public enrollment drives, and use of an Internet enrollment
site) will be compared to determine if clinical results
obtained are independent of the enrollment method, and
also to evaluate the advantages and disadvantages of
each enrollment method. The numbers of “hits”
on the study Internet site will be tracked and correlated
with levels of activity for each of the enrollment methods.
The user interface may be simplified by a Java applet
to be introduced after the study is underway; the impact
of the anticipated improvement in ease-of-use would
then be evaluated by tracking Web site "hits"
and numbers of evaluable questionnaires submitted.
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Subject
demographics will be reviewed for comparability with
the demographic patterns of the populations from which
the subjects have been recruited. Analysis will, as
far as possible, take into account the two principal
sources of survey error – questions improperly
phrased to elicit the information required, and lack
of comparability of survey respondents to the target
population. In addition, measures will be taken to identify
intentionally spurious responses. In general, consistency
of results across groups enrolled using different enrollment
methods may be considered to support the general applicability
of the results.
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An
important consideration for the Internet/email component
in this study is that Internet and email users in general
(and survey responders in particular) are not representative
of the entire population in important ways – they
tend to be wealthier, better educated, younger and with
a higher male/female ratio. Thus, one might anticipate,
for example, more sports injuries and fewer degenerative
joint diseases than in the entire chronic pain population.
Use of demographic data such as age and sex in the data
analysis may allow some adjustment for these factors.
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It
is worth noting that the problem of extrapolating results
from the sampled population to a more general population
is not unique to Internet clinical studies -- it is,
rather, a near-universal issue in clinical research.
Those agreeing to participate in a clinical study are
often not representative of the general population fulfilling
the inclusion and exclusion criteria for a study --
whether subjects are enrolled from hospitals, medical
clinics, private practices, newspaper advertisements
or by use of other recruitment methods. In addition,
inclusion and exclusion criteria for a clinical study
often result in restriction of enrollment to a small
minority of those patients who have the disease being
studied.
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As
in science in general, results need to be replicated
in different studies and different settings before the
conclusions reached can be generally applied. Any conclusions
on pain location and pain symptoms derived from an Internet/email
survey will require confirmation in a different population
before results can be extrapolated to that population.
In addition, the present study (which collects only
subject self-reported information) will not include
physician-based diagnoses. Accordingly, it is planned
to add a diagnostic component in subsequent studies
evaluating the pain patterns identified in the present
study.
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These
subsequent studies will be of patients seen in pain
specialist clinics where a definitive diagnosis will
normally be available. One pain specialist study would
enroll new chronic pain patients, pain drawings would
be completed by both patient and physician, and patients
would be allocated to pre-defined diagnostic categories.
Another pain specialist study would utilize the capability
of the TMT computer analysis system to "map"
common points between two human body image designs,
allowing transfer of pain shapes between the designs.
This capability would allow legacy pain drawings (from
many different sources and from many pain specialist
groups) to be converted to drawings on a single body
image design which could then be analyzed using the
TMT computer system and correlated with diagnostic findings.
Click
Computer
Analysis for more detailed information on the computer
analysis of the pain drawings.
Click
References
for a list of publications related to pain drawings, Internet
and other survey methods, and computer analysis of biological
images.
Physicians
wishing to participate in the present clinical study, or
who are interested in participating in the pain specialist
studies, should contact Colin R. Taylor, MD: crtaylor@masterdocs.com
or Colin R. Taylor, M.D.,
TMT Inc., 196 E 75th Street (Suite 18A), New York,
NY 10021, USA.
We also have openings for a limited number of MasterDocs
Fellows.
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