|
Table of Contents
assessment - a method of evaluation
cerebellar tonsils - portion of the cerebellum located at the bottom,
so named because of their shape
cerebellum - part of the brain located at the bottom of the skull,
near the opening to the spinal area; important for muscle control, movement,
and balance Chiari malformation -
condition where the cerebellar tonsils are displaced out of the skull
area into the spinal area, causing compression of brain tissue and
disruption of CSF flow
cognitive - having to do with thinking, reasoning, memory, etc.
disease - commonly refers to any departure from the normal health and
functioning of the body and its organs
disability - that which limits a person's ability to perform one or
more normal, daily activities
mobility - the ability to move from one place to another
pain - an unpleasant experience usually associated with an injury or
disease quantitative research -
scientific research which uses numbers as data and statistical
techniques to analyze results
reliability - in testing, a measure of the consistency of the test
test - a formalized procedure for measuring something
syringomyelia - neurological condition where a fluid filled cyst
forms in the spinal cord
validity - the degree to which a test, or assessment, measures what
it is supposed to measure |
Pain, disease, and disability; in a general sense
we all know what these terms mean. Pain is what you feel when you're
hurt or sick. Disease is a virus, disorder, or neurological condition.
Disability is when something prevents you from doing what you should be able
to do. Easy to define, right? In English, yes; but how do you
define these things in such a way that they can be used effectively in
medical research? Most of medical research is what is known as
quantitative research, which means it uses numbers. In order to do
quantitative studies involving pain, disability, and disease impact, these words need to
be translated into numbers. In other words, an effective method of
measuring - or testing for - items like pain and disability is required to produce useful,
scientific research.
If you take a moment to think about the various types
of tests there are in everyday life, it is mind-boggling. From the
slew of standardized tests that our children take every year, to personality
tests that many employers now require, to product safety tests, to the
hundreds of medical tests, tests are everywhere. Given this, it
is not surprising that an entire of science of testing has evolved.
Some researchers specialize in the theory of test development and
implementation. Out of this science has emerged a couple of key
concepts for evaluating the usefulness of tests: reliability and
validity.
Reliability refers to whether a test consistently produces
the same results on the same subjects. In other words, if Joe takes an
IQ test, his score shouldn't change depending on who administers the test.
A blood test is reliable if it gives the same - or very close - results when
run several times on the same sample. Reliability is an important
measure of a test, because if test results vary because a machine is
inconsistent or the test is administered by different people, the test
results are not very useful.
Validity refers to whether a test measures what it is
supposed to measure. Validity can be harder to determine than
reliability and is often the subject of controversy. One of the most
controversial tests of all time is the IQ test. The controversy
surrounds it's validity. Does the IQ test really measure intelligence?
Some would argue it does, many would argue it doesn't. When dealing
with issues like pain and disability, determining a test's validity can be
challenging. Often a patient's view of disability and disease impact
differs sharply from a doctor's and people experience pain differently.
One way to determine a test's validity is to compare it's results to another
measure. For example, a new pain measure might be compared to existing
pain measures, or the results for a test of how outgoing someone is would be
expected to be inversely related to a test for how introverted someone is.
While there are a number of tests that have been
developed to measure pain, disability, and disease impact, it is important
to realize that every test has it's strengths, weaknesses, and limitations.
Just as scientific research must undergo peer review before publication, we
as patients should examine research results through a skeptical filter and
decide for ourselves whether the tools used in the study were reliable and
valid enough to apply to us.
Following is a very brief overview of three
scales: the Karnofsky Performance Scale, the McGill Pain Questionnaire
(MPQ), and the SF-36 Health Survey. These assessments are by no means
the only ones used to measure pain, disease, and disability; but they
are illustrative of the importance of understanding a test when evaluating
the results it produced. These tests were selected because they have
been used in research reviewed by this publication relevant to the Chiari
and syringomyelia community.
Karnofsky Performance Index (KPI)
The Scale
-
Health care professional assigns patient a score along 11 descriptions.
Most relevant criteria are selected. Overall score ranges from 0
(Dead) to 100 (Normal):
100 - Normal, no complaints, no evidence of disease
70 - Requires occasional assistance from others but able to care for most
needs
40 - Disabled, requires special care and assistance
10 - Dying, near death
0 - Dead
-
In use for many years, by many types of medical professional
-
Not designed as a quality of life measure, but most often used as such
-
Originally designed to assess nursing work loads (how much help each patient
needed from a nurse)
Strengths
-
Widely used and recognized
-
Research shows valid measure of physical functioning
-
Predictive value in cancer and transplant survival
-
Quick and easy to use and administer
Weaknesses
-
Very crude measure
-
Relies solely on doctor assessment, yet research shows there is a marked
difference between patient and doctor assessments on quality of life
-
Narrow focus on the physical aspects of quality of life
-
Overemphasizes mobility and assumes mobility leads to a higher quality of
life
-
Numeric scale has not been adequately tested given the measure's wide
adoption
-
Some research suggests the scale is not very reliable
Conclusion
The Karnofsky Performance Index appears to
be a valid measure of physical functioning but there is no good basis for
it's use as a measure of overall quality of life. It is very crude and
relies solely on physician assessment and does not take into account social
support, psychological well-being, and a patient's own point of view.
When used with other quality of life measures, the KPI may be beneficial,
but unfortunately this measure is often the sole one used in studies
of Chiari and syringomyelia.
McGill Pain Questionnaire
The Scale
-
One of - if not the most - widely used measure of chronic pain
-
Developed by Melzack at McGill University, Canada
-
Uses 78 pain adjectives (throbbing, beating, pounding, e.g.) organized in 20
groups
-
Subjects select words that describe their pain
-
A group of doctors, patients, and students assigned numerical values to each
word in developing the test
-
Results are based on a Pain Rating Index (uses the assigned numerical
values), number of words chosen, and Present Pain Intensity (1-5)
Strengths
-
Can be self-administered or by an interviewer
-
Effectively quantifies pain
-
Research shows the measure can differentiate between diagnostic groups of
patients
-
Research shows validity when compared to simple one-number pain scales
-
Short version is available
-
Has been widely used for many years
Weaknesses
-
Takes 15-20 minutes to complete (repeat tests take only 5-10 minutes)
-
Person must be familiar with the words being used
-
Pain descriptors may not adequately cover words often used by people with
joint pain
-
Limited data on reliability
Conclusion
While acute pain can be quickly and easily measured
using a one number scale (0-100), chronic pain can take many forms.
The MPQ has shown over the years to be probably the best available scale for
measuring chronic pain.
SF-36 Health Survey
The Scale
-
36 question survey used to assess general health status
-
Answers to each question contribute to score along one of 8 sub-scales:
Physical Functioning, Role Physical, Bodily Pain, General Health, Vitality,
Social Functioning, Role-Emotional, Mental Health
-
Two summary measures are available based on sub-scales: Physical
Health and Mental Health
-
Most questions have been in use since the 70's and 80's
-
8 sub-scales represent the most frequently measured concepts in widely used
health surveys
-
Disease impact scores can be measured by subtracting "normal" scores for a
population from the respondent's actual score
Strengths
-
Can be self-administered or given by an interviewer or computer
-
Widely used in many countries for many purposes
-
Fairly strong reliability and validity data
-
If norms are established can assess disease impact
Weaknesses
-
Generic type health survey, not specific to a disease
-
Does not try to measure items such as sleep, cognitive functioning, sexual
functioning, family functioning, eating, recreation, and other common
measures
-
Does not measure symptoms or problems specific to a disease
-
Norms must be established (data gathered from a large group of people) to
assess impact
Conclusion
Widely used, the SF-36 is a solid, respected
general health survey. But because of it's generic nature, it may miss
issues critical to patients of a specific disease.
A Chiari/Syringomyelia Scale
As the descriptions above demonstrate, there
are many scales to measure pain, disease, and disability. Each scale
has it's own strengths and weaknesses and like any tool, it's effectiveness
is determined largely by how it is used and who is using it. Ideally,
a scale specific to the symptoms, treatments, and neurological deficits of
Chiari and syringomyelia patients should be developed. The development
of such a scale would benefit research into surgical (and non-surgical)
treatments and provide a tool to measure how much an individual is being
affected by their condition.
Until such a measure is developed, it is important to
keep in mind the limitations of what is being used today.
Sources:
Psychological Testing and Assessment: An Introduction To Tests and
Measurement By Ronald Cohen & Mark Swerdlik, Mayfield Publishing, 1999
www.sf-36.org
Measuring disease : a review of disease-specific quality of life measurement
scales By Ann Bowling, Open University Press, 2001
Back to Table of Contents |
Key Points
-
Quantitative research requires a
way to measure - with numbers - such things as pain, disability, and
disease impact
-
Tests and measurements have been
designed for almost every imaginable aspect of life
-
Reliability and validity are two
key measures of how good a specific test is
-
The Karnofsky scale, the MPQ, and
the SF-36 are examples of assessment tools that can be used
-
Every tool has advantages and
disadvantages that should be understood when interpreting the results it
produces
-
An ideal scale would be developed
specifically for the Chiari/SM patient group and take into account
symptoms and quality of life issues common these people
|