The problem is when it gets printed in mainstream press who sensationalize and then posted to reddit/hn where people go 'duh this is obvious, this is a dumb thing to study', 'sample too small', 'not controlling for income/confounding'.
Another: not all research can or should have randomized studies (like it just wouldn't make sense if you were, say, determining the structure of a protein). So drawing the line as to what does and doesn't need a specific approach is blurry, and really, can only be enforced during the peer review process, or by the editor.
On the other hand, this kind of work can still serve as a hypothesis generator. Someone else will read this, think, "well they did this all wrong!" and perform a better study that clearly demonstrates whether it has an effect or not.
In theory, these observational findings could suggest treatments that should be evaluated in a randomised trial. I am not actually sure this is true however, it is possible they are less useful than selecting interventions for further testing in some other way. Anecdotally, folk remedies may have a higher hit rate for selecting treatments for proper evaluation. This is often surprising - eg a precursor to aspirin is found in the Willow tree, which has been used as a medicine for thousands of years. Another example is the foxglove plant from which the heart drug digoxin is derived, which was used as a herbal medicine predating modern medicine.
https://en.m.wikipedia.org/wiki/History_of_aspirin#History_o...
https://theconversation.com/hippocrates-and-willow-bark-what...
https://www.galvnews.com/health/free/article_8c8b50e5-6712-5...
Because things other than randomized studies produce the results that generate the funding for randomized studies.
RCTs are great but can have problems with generalizability to real-world conditions. Ideally you'd study both.
Conversely, if we had a large observational study that was then contradicted by a robust RCT... well, I'd still be inclined to trust the RCT.
(At the same time, I think a good observational study is, by its nature, more applicable to one's own life. If an observational study suggests that $FOOBAR is good, then -- as long as there's also a solid RCT confirming that $FOOBAR is safe -- why not try out some $FOOBAR for yourself?)
But when I looked up what "case control, test-negative" means, I found that it is observational, and there is no intervention provided to any of the individuals. Some of the recent discussions of the design indicate that it is understood by scientists, but can mislead laypeople, who assume that its conclusions are much more robust than they actually are.
We should definitely continue to do research of many types, partly as a way to figure out where to spend the time/money to do RCTs (which are more expensive than other types of analysis). But we need people reporting on studies to be very clear up-front when they are not describing an RCT. They should say what the study's conclusion means, versus what it would mean if there were a similar 'finding' in an RCT. Otherwise people will not understand that they are being told a weak conclusion, not realizing there is a strong conclusion that has gone unmentioned.
All science needs to be published. Pilot studies, observational studies, quasi-experimental studies. Otherwise, we don't have the information we need to create randomized control trials.
However, I'd strongly support keeping all that science from being publicized.
What’s your plan for doing this?
Yet we want to do research in these areas. So we have to make do with what's possible.