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Anyone know why plastics suddenly jumped up?
http://www.medscape.com/slideshow/compensation-2017-overview-6008547
http://www.medscape.com/slideshow/compensation-2017-overview-6008547
Feeding the American ego by crafting artificial appearances en lieu of underlying unsettled problems in their self-esteem/consciousness.
How is it that the "I would choose medicine again" numbers are so much higher in this year's report compared to last? Page 38 of this year's report, and here's last year's:
Medscape Physician Compensation Report 2016
The sample size is less likely to be the issue in comparison to whether or not the sample is representative of the population. That's the whole point of sampling and a fundamental idea of statistics. A representative subset of the population of interest can give you a pretty accurate picture of the population.My theory is that different people responded this year than last. The sample sizes are small enough that you can't make broad sweeping statements from anything in this study. 19k physicians represents less than 2% of the physicians in the United States. And across 26 specialties comes out to be an average of 730 physicians per field. Obviously not all fields are the same size which is why you get year to year variation in smaller fields, like plastic surgery.
My theory is that different people responded this year than last. The sample sizes are small enough that you can't make broad sweeping statements from anything in this study. 19k physicians represents less than 2% of the physicians in the United States. And across 26 specialties comes out to be an average of 730 physicians per field. Obviously not all fields are the same size which is why you get year to year variation in smaller fields, like plastic surgery.
The sample size is less likely to be the issue in comparison to whether or not the sample is representative of the population. That's the whole point of sampling and a fundamental idea of statistics. A representative subset of the population of interest can give you a pretty accurate picture of the population.
whoa - pathology 293k?
Um from my understanding they gave out the surveys to the same group of people who responded last year
Incorrect.Clearly a poor representation of the grueling hardships and staggering debt most if not all physicians incur as a result of their passion for helping the undeserved. MGMA is wildly inflated too; don't believe their lies.
As physicians, we should not disparage other specialties because we all rise and fall together.
Not sure how this applies to what I said.Um from my understanding they gave out the surveys to the same group of people who responded last year so fluctuations in sample selection would not be an issue at all... these are the same people responding, which is why I wanted to know how the plastics salary jumped up so much.
Nowhere does it say they only send the survey to the same people who responded last year. If so, the people running the medscape survey are freaking idiots and nobody should take it seriously anyway.Um from my understanding they gave out the surveys to the same group of people who responded last year so fluctuations in sample selection would not be an issue at all... these are the same people responding, which is why I wanted to know how the plastics salary jumped up so much.
Nowhere does it say they only send the survey to the same people who responded last year. If so, the people running the medscape survey are freaking idiots and nobody should take it seriously anyway.
Also this still doesn't really address the concept that a representative sample can be an accurate depiction of the population at large independent of sample size. Even if it's the same people responding every year (which is highly doubtful), if that sample is representative, then it's representative and the sample size does not matter.
Not trolling, but out of curiosity, what do you mean by "sample populations"? A sample is a subset of experimental units from the population. The population is the whole, typically unobservable, set of potential experimental units about which we're trying to learn.... the sample populations ... taken together to increase the power...
It's always a fun conversation when people try to use election polling as the example: "...1000 people isn't enough to get it right about hundreds of millions of people..." The real issue with election polling, like many things, is that it's incredibly far from representative sampling.Nowhere does it say they only send the survey to the same people who responded last year. If so, the people running the medscape survey are freaking idiots and nobody should take it seriously anyway.
Also this still doesn't really address the concept that a representative sample can be an accurate depiction of the population at large independent of sample size. Even if it's the same people responding every year (which is highly doubtful), if that sample is representative, then it's representative and the sample size does not matter.
Not trolling, but out of curiosity, what do you mean by "sample populations"? A sample is a subset of experimental units from the population. The population is the whole, typically unobservable, set of potential experimental units about which we're trying to learn.
I'm also not entirely sure how combining the yearly samples would do anything for the power, since power would only be useful in the case of inferential statistics. I couldn't read the article for some reason, so I don't know if they did any sort of testing, but I thought these reports were typically just descriptive in nature.
This is probably the most commendable response I've heard from someone, rather than some BSThat's why I said marginal... lmao also, I have no idea wtf I'm talking about...
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Is it me or does there seem to be a disconnect between this report and the doom and gloom we often see on SDN? Looks like wages are increasing every year and the majority of physicians are satisfied with their pay and would choose to enter medicine again.
Is it me or does there seem to be a disconnect between this report and the doom and gloom we often see on SDN? Looks like wages are increasing every year and the majority of physicians are satisfied with their pay and would choose to enter medicine again.
My thoughts exactly..:salaries have increased for almost every specialty since 2012. Would love to know what the baby boomers were making in the 80s and 90s that makes them say medicine is no longer "worth it." In my town growing up I didn't know a single family bringing in 300k...
It's an anonymous forum where a lot of people come to vent their frustrations and like the survey is a very small sample size of all physicians/future physicians. Most of the docs I know/work(ed) with really do like their jobs as a whole, but it doesn't always seem that way because it's a demanding career that can tire you out pretty easily. I can relate as I've loved most of my rotations but sometimes people think I'm miserable just because I'm exhausted during my down time.
A few things to think about when the older docs say it's no longer "worth it". The first, from what I've heard, is that there was a lot less administrative and bureaucratic interference with medicine in the past. Doctors could practice what they felt was best and not have to worry about bowing down to administrators or getting blasted by sanctions and government following seemingly arbitrary government standards. To go along with that, the technologic takeover of medicine, especially in terms of charting changed everything and a lot of the older guys just didn't adjust well to having to use EMRs. It changed the entire way they documented, which can be miserable when you've been able to chart how you wanted to for 30+ years. Throw in the sheer number of different EMRs out there, many of which have or had major compatibility issues and I understand their frustration.
I also don't think it has to do with them making less, I think it has to do with them feeling like they have to do 10x the work (because of all the hoops to jump through) to make the same or a little more than they used to. Insurance companies have made billing ridiculous to the point that there are multiple codes for the same treatment, but you won't be reimbursed if you don't use the correct one. To compensate for that, a lot more physicians have taken the route of being employed instead of entering private practice (or even had to sell their practice). The tradeoff is that they may not have to worry about getting paid if they make a mistake, but they've sacrificed autonomy.
That brings up another major issue, which is the general shift in power in the medical field. Where in the past the doctors were in charge and had final say about how they would treat their patient, that power has shifted to administrators, insurance companies, and the government (which may get even more power over this in the near future). It's tough to go from being the king of the hill to being told what you can or can't do, and some people would rather retire than have to deal with it.
Some of the older attendings can add to this post or correct me where I'm wrong, but for those people you talked to I think it's less about the actual income and more about the general landscape of the healthcare industry. On the monetary side though, even if they are making significantly more than they used to in terms of raw salary, everything has become more expensive. So while they may make "just as much" or more than they used to, their spending power may have actually gotten worse due to rises in costs of living. Being a millionaire 30 years ago was a big deal. Today, not so much.
Edit: Looking at the report it's impressive to see every field getting above the 200k mark though. Given how expensive med school has become it's encouraging to see even the lower paying fields have a shot at paying back large debts and still have a shot at a good lifestyle.
PM&R doing work!
*No survey replies received due to golf priorities.
They make SOOO much they didn't report their numbers so the other specialties don't jealous
; )
I think you have hit the nail on the head. The bureaucracy seems to be the death of private practice. Even in the past year working for a private practice physician I have seen an increase in bureacrazy...it seems that more and more of the medications we prescribe get denied or require prior auth. It almost seems that some insurance companies have employed a "never pay on the first attempt model" and see if the physician is willing to go through the trouble to get prior auth/ appeal.
This is obviously annoying (but it usually staff dealing with more than the physician I.e me) and I think it will eventually lead physicians to get behind the "Medicare for all" type system that the Canadians use. According to Canadian reimbursement data they are all still making similar money to American physicians when you factor in overhead costs; up there the physicians making the most seem to ophthalmologists instead of orthopods for some reason but it doesn't seem like the death of physicians becoming top earners in the country.
I have no idea if it's more or less hassle there but to me it would seem to be easier to deal with one insurance company than many with different rules.
I doubt this will happen anytime soon in the U.S. as medicare/caid has miserable reimbursement rates. Ask some physicians you know about their reimbursement and they'll tell you that private practices can't support themselves if they take only (or even mostly take) medicare patients. Even some hospitals can't stay open if they're only taking medicare patients and there have been many rural facilities that have closed in the last 5-10 years for this very reason. If the gov decided to drastically increase their reimbursement rates to match current insurance companies you might see more physicians getting behind that plan, but until that happens (probably never), most physicians will continue to prefer patients with private insurance over medicare/caid even if the insurance companies are a pain to work with.
It's astounding how easily people conflate the idea of sample size with a representative sample... in the same thread, no less!It's an anonymous forum where a lot of people come to vent their frustrations and like the survey is a very small sample size of all physicians/future physicians.
It's astounding how easily people conflate the idea of sample size with a representative sample... in the same thread, no less!
It's astounding how easily people conflate the idea of sample size with a representative sample... in the same thread, no less!
Sdn in a nutshell
Rational person: the future isn't that bleak for physicians. Most of the ones I know seem happy and do really well.
Sdn: I don't want anecdotes I want hard numbers
Rational person: ...shows numbers
Sdn: Those numbers are wrong; the future is bleak, be an NP or a robot they are all going to take our jobs anyway.
I'm just saying the numbers could be wrong or they could be right. My whole point is people keep saying "bro it's only a few hundred, so that can't be right!"Sdn in a nutshell
Rational person: the future isn't that bleak for physicians. Most of the ones I know seem happy and do really well.
Sdn: I don't want anecdotes I want hard numbers
Rational person: ...shows numbers
Sdn: Those numbers are wrong; the future is bleak, be an NP or a robot they are all going to take our jobs anyway.
I don't recall saying they were mutually exclusive, but frequently, they're different things. As for your "N values", those have a lot more to do with adequate power and precise estimation than they do with representative sampling. You made the point to say that the forum and the survey are a small fraction of the population they're part of, therefore, it's not a good reflection of reality (or something like that). A representative sample is, by definition, a group that's an appropriate reflection of the target population. Pretty much the only way you can make your argument work is by gathering information on the entire population. Then, you have the population, so it is of course representative of itself, and you're not estimating anything.Sample size and representative sample aren't mutually exclusive concepts. If they were, N values in many studies would be irrelevant.
I'm just saying the numbers could be wrong or they could be right. My whole point is people keep saying "bro it's only a few hundred, so that can't be right!"
I don't recall saying they were mutually exclusive, but frequently, they're different things. As for your "N values", those have a lot more to do with adequate power and precise estimation than they do with representative sampling. You made the point to say that the forum and the survey are a small fraction of the population they're part of, therefore, it's not a good reflection of reality (or something like that). A representative sample is, by definition, a group that's an appropriate reflection of the target population. Pretty much the only way you can make your argument work is by gathering information on the entire population. Then, you have the population, so it is of course representative of itself, and you're not estimating anything.
There's a reason you don't survey 80,000 doctors for their take home pay and conclude this is a good estimate of the mean income for all citizens because it had a relatively large sample size. You'd be far better served by taking a random sample of a few hundred citizens to estimate the mean take home pay for all citizens. These are pretty distinct ideas overall.
I'm just saying the numbers could be wrong or they could be right. My whole point is people keep saying "bro it's only a few hundred, so that can't be right!"
I don't recall saying they were mutually exclusive, but frequently, they're different things. As for your "N values", those have a lot more to do with adequate power and precise estimation than they do with representative sampling. You made the point to say that the forum and the survey are a small fraction of the population they're part of, therefore, it's not a good reflection of reality (or something like that). A representative sample is, by definition, a group that's an appropriate reflection of the target population. Pretty much the only way you can make your argument work is by gathering information on the entire population. Then, you have the population, so it is of course representative of itself, and you're not estimating anything.
There's a reason you don't survey 80,000 doctors for their take home pay and conclude this is a good estimate of the mean income for all citizens because it had a relatively large sample size. You'd be far better served by taking a random sample of a few hundred citizens to estimate the mean take home pay for all citizens. These are pretty distinct ideas overall.
Had to cut some out since I was already quoted