So I decided not to talk about vaccines today. Instead, I will be talking about clinical trials more broadly. I know quite a bit about vaccines but not enough to call myself an expert. And expert opinion is needed right now. So imma stay in my lane.
I worked doing project management for clinical trials during my gap year between undergrad and grad school. It was boring but I learned a lot
A clinical trial is seen as the best was to find a causal link between two variables
Say we wanted to look at if medication AX lowers blood pressure
The investigator assigns the exposure level (AX or placebo) to participants in a random manner, hence why clinical trials are also called randomized controlled trials (RCTs)
A "double-blind" study is seen as the best-case scenario where both the participants and researcher have no idea who got AX and who got a placebo
I feel like the term "double-blind" is ableist. Let me know if it is, please
The primary benefit of randomization is that it will eliminate both conscious bias and unconscious bias associated with the selection of a treatment for a given patient
Causal effects can be estimated without assumptions
and without prior knowledge of common
causes of blood pressure levels
Now since we are trying to eliminate the influence of outside factors other than AX and the placebo, that means the results are not generalizable to the public
Efficacy can be defined as the performance of an intervention/treatment under ideal and controlled circumstances, whereas effectiveness refers to its performance under 'real-world' conditions
So while the efficacy of AX may be high in this controlled study, but until we add social and cultural contexts, we don't know the effectiveness of AX
But we do know that AX is directly connected to blood pressure
Clinical trials that support FDA approvals of new drugs have a median cost of $19 million
There are four phases of clinical trials:
Preclinical research is not done on humans
Phase 0 tries to understand how the drug impacts the body. There is a small sample size of about 10 people who are given small doses of the drug
Phase 1 tries to find the best dose of a new drug with the fewest side effects. A sample size of about 20 is used. This is to test the safety of the drug.
Phase 2 assesses safety as well as if a drug works. Phase II trials are done in a larger sample size. Often, new combinations of drugs are tested and patients are closely monitored
Phase 3 is normally where randomization comes in. In this phase, we compare a new drug to the standard treatment that patients usually get. Phase 3 trials enroll 100+ patients
The study will be stopped early if the side effects of the new drug are too severe or if one group has better results
Phase 4 trials test the new drugs approved by the FDA. The drug can be tested in several hundreds or thousands of patients
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The use of randomized controlled trials (RCTs) to study the impact of specific interventions, has over the last decade become a dominant methodology in development microeconomics
However, some argue that socioeconomic RCTs do not test hypothesis rooted in theory and ignore mechanisms of causality
For example,
"In 2006, approximately 1,300 men and women were tested for HIV. They were then offered financial incentives of random amounts ranging from zero to values worth approximately four month’s wages if they maintained their HIV status for approximately one year..."
My focus is more so on measuring a non-changeable aspect of individuals. Education can be exchanged for another outcome and it would be the same issue. I just used education as an example
This is more so a critique of what we are trying to intervene on when conducting research. Especially in health research where interventions/treatments/policies are frequent
Say we were to look at the impact of gender on depression rates
Are we really studying gender or are we studying sexism?
A lot of measures treat individuals as dehumanized objects that are used as inputs in a statistical measure presented as value-free
they also tend to disregard the reality that humans are just mammals who interact with nature and other animals
This human-centric research comes up wrong over and over because we act like we are above our environment. We manipulate nature to suit our needs without looking at the consequences to everything else
Using quantitative research to study groups with intersectional identities has methodological issues
Much of this info will be taken from the article:
"When Black + Lesbian + Woman ≠ Black Lesbian Woman: The Methodological Challenges of Qualitative and Quantitative Intersectionality Research"
I do love that the article starts with an Audre Lorde quote
“... constantly being encouraged to pluck out some aspect of myself and present this as the meaningful whole, eclipsing and denying the other parts of the self”
One of my favorite subjects to talk about: causality and methodologies
Epidemiology is all about measurement and causal inference. Sociology is more theoretical but it does touch on methodologies quite a bit.
Epid is bound by its methods. Sociology is bound by its theories. So to conduct epid studies, math or stats makes the most sense. Sociology can use any method so long as the method makes sense to the study
I taught two semesters of sociological research methods. So I've become really interested in the social critiques of epid methods and vice versa. Let's get it
Medicalization is where human conditions are treated and defined as medical conditions
Is it imposter “syndrome” or are you literally an imposter because academia was built for and by wealthy, cishet, white men. Many of whom were agents of slavery and genocide