00:01
Hello and welcome epidemiology. In this lecture
we're going to learn a little bit about critical
thinking and evidence-based medicine. And I
want to start off by telling you about my
first consulting opportunity when I was a
graduate student learning epidemiology.
00:15
I was assisting some scientists, we were trying
to determine if gynecological practice was
largely evidence-based. And to do this we looked
through the literature and attempted to tell
if the things a gynecologist were doing commonly
with pregnant women, like shaving their pubic
hair and giving them enemas before birth, was
worthwhile. We determined it was not worthwhile,
so much of these practices weren't evidence-based,
the problem though, is that we couldn't convince
the gynecologist to stop doing these practices,
so lesson there is, even though things
may or may not be evidence-based, clinical
practice is still based upon values and experiences.
00:52
Having said that, today you're going to learn
about how to apply epidemiological principles
to help you make evidence-based medical decisions.
So we're going to learn how to apply the steps
of EBM, which is evidence-based medicine,
we're going to learn how to rank the different
kinds of study designs that you're going to
discover in the process of doing your EBM
searches and you're going to learn how to
phrase a research question using a method
that we call PICO.
01:19
To begin with, I want to show you this image.
This is an image that I saw on the subways
of Toronto many years ago, essentially it
says, a couple of things. It has two bits
of information, the first is, that at approximately
3 to 5 children in every Canadian classroom
have witnessed their mother being assaulted,
a dire statistic, a little depressing.
01:39
In the second is that 70% of men in court ordered
treatment for domestic violence witnessed
it as a child. Okay, so let's think about what
this is actually saying. It's telling us that
obviously some children are seeing domestic
violence at home, that's not a good thing,
it's further implying that those children
may grow up to be abusers themselves. I don't
mean to minimize this issue, it's a serious
issue, we should take it very seriously. Now
I want you to think about those numbers through
a new epidemiological lens. What are the numbers
actually saying to you? What information is
missing? What additional information do you
think you need to add a bit more nuance and
wisdom to these numbers? First thing is 3
to 5 children, is that a large number? Think
about it. What's the denominator? How many
children are in the classroom totally? If
there are 10 children, then that's 3 to 50%
of kids in that class saw domestic abuse.
That's a high number we can agree, that bad,
but if it's a 100 kids in the classroom, that's
3 to 5%, still one child is bad enough, but
3 to 5% isn't as bad as 30 to 50%, so the
denominator matters. The second bit of information
is that 70% of men in a court ordered treatment
for domestic violence saw it as a child, okay
that seems like a large number, but I want
you to think about again, what should we be
comparing that to? How many men who weren't
in a court ordered treatment saw it as a child?
I don't know the answer, but think about this,
maybe 70% of men in a court ordered treatment
for domestic violence also ate rice pudding
at some point in their lives. Is the implication
that rice pudding causes you to be a domestic
abuser? Again, I don't mean to minimize this
issue, my point is, the numbers are meaningless
without a control group or a denominator, get
my point? I hope so.
03:29
So epidemiology is a way of thinking, it's a
way of adding wisdom to numbers that otherwise
are alone in a void without context. Some
of the things we do in epidemiology is to
critically evaluate published studies, using
many of the tools that we're going to learn
in the course of this lecture and other lectures.
We are going to identify the biases that may
affect the conclusions that we draw from the
published evidence. Again in another lecture we are
going to talk more deeply about what those
biases are, but I want you to be aware that
biases exist, they always exist, the question
is, how much those biases interrupt your ability
to make meaningful conclusions that are valid
for your practice? Lastly we're going to assess
the qualities of different types of evidence.
Not all evidence is the same; some are ranked
more highly than others, so we'll talk a little
bit about how those rankings occur.