I love evidence. I try hard to make medical decisions which reflect the best information available. Despite this, I shudder when I hear “experts” decry physicians not being evidence based. I shudder when I see presentations which only focus on performance measurement, and claim that they are presenting quality measures.
The problem with all evidence is that one must put that evidence into appropriate context. For example, lowering the hemoglobin A1c in diabetic patients decreases complications. However, we do not have evidence that trying to further lower the HgbA1c in a type II diabetic patient with a HgbA1c of 7.5, when that patient already takes two hypoglycemic drugs at maximal dosing. We do not know the evidence of the side effects of the third drug. We do not have studies which weigh the risks and benefits of this aggressive attack on HgbA1c. Yet currently adopted performance measure would penalize physicians for not achieving a target HgbA1c. If the patient started at 9.5 and achieved 7.5 with 2 drugs, then logic would tell us that the patient and physician have done an excellent job. They have greatly decreased the patient’s risk of complications.
Early in my training, a wise teacher reminded me to treat the patient, not the numbers. I love lab tests, and teach about their interpretation enthusiastically. But numbers mean nothing without understanding the patient’s context.
I dislike report cards because they include no context. True evidence based medicine should adjust for the patient’s starting point, their other conditions, their social situation and their economic situation. It sounds so scientific to admonish physicians for not heeding the evidence. What do you think?
We cannot measure quality through performance measurement. We can estimate one attribute of quality through performance measurement. Quality is a large complex construct. It includes (but is not restricted to) accurate diagnosis, appropriate use of diagnostic testing, good pharmaceutical decision making, and developing a positive patient-physician relationship.
So each time I hear pronouncements that a program has improved quality, I shudder. I shudder because these programs use partial information on quality. And we do not know whether concentrating on performance measurements help or hinder the other attributes of a quality physician.
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{ 5 comments… read them below or add one }
You are right, a physician should never be penalized for failing to achieve lower levels of performance measurement on any single patient. You are also right in your philosophy of treating individual patients as individuals and tailoring your treatment in an appropriate manner.
However, you are missing the point with performance measurements and evidence based medicine. Goals for performance measurement are based on statistical models aimed at GROUPS of patients, not individual patients. In all clinical trials, some patients in the treatment group get better, some in the comparison group get better, and the reverse is true, some individuals in both groups get worse as well. A treatment becomes “evidence based” when the average improvement of all patients in the treatment group do better than the average improvement of all patients in the comparison group. This tells us that the targeted treatment is more LIKELY to be successful than whatever it is being compared to. There is no delusion on the part of “experts” that all patients will do better on the target treatment.
All research should be reviewed with a critical, analytic perspective. No single finding is conclusive, and many times it takes years of cumulative research to reach meaningful (and consistent) knowledge. So I encourage you to continue to consider all of the issues you raise when approaching an individual patient, but to advocate throwing out evidence based medicine or performance based measurement is a huge step backwards.
“You are right, a physician should never be penalized for failing to achieve lower levels of performance measurement on any single patient.”
But a physician aggregate “quality score” is based on adding up perfomance measurements on individual patients. Physicians who blindly follow in-vogue performance measurements on all patients and do not individualize care will be paid more and granted the title “high quality.” In addition physicians caring for patients with more socioeconomic stressors and physicians with more sick/complicated patients will be penalized. (Keep in mind risk adjustment, even if it were a large part of current outpatient performance measures (which it’s not) is frought with limitations.)
Current P4P and quality measurements penalize physicians for failing to achieve performance measures on individual patients.
The momentum for “quality scores”, “report cards”, and “performance based payment” is growing rapidly, and it’s going to be impossible to stop. Unfortunately, physician organizations such as the AMA and the AAFP gave lukewarm support for them from the beginning rather than correctly analyzing this movement and opposing it. Changing their support at this time would just look like sour grapes. There is only one way out. Cancel all of your insurance contracts. Provide excellent care at a fair fee to those patients who remain loyal. Develop an excellent clinical reputation through word of mouth. Practice patient-oriented, evidence-based medicine, watch your practice grow, and thumb your nose at the insurance plans.
My personal experience is, that while intellectually recognizing patient diversity, doctors in their practice revert to meeting a standard or guideline, often to the detriment of the patient. There are many reasons for this, including financial, status, and time.
There always seems to be a “Yes, but…” to justify additional testing or medications.
My wife learned an important lesson while in law school: Go with what you got. Sometimes the numbers or test, are what they are, and doing more will only create more problems than they will solve.
Steve Lucas
DB (and others)- I’ve been reading your blog for some time- really thoughtful and articulate- thank you for investing so much time.
Just wondering about an off the cuff response- what magnitude of outcome would seem to be sufficient to outweight the myriad of unmeasured bias/uncertainty that persists even in a well done RCT (publication bias, selection bias, generalizability)- I think Norman Hadley once wrote that he disregards all study results with an ARR < 5%, even if well done-
Currently we accept any ARR in a well done trial with few dropouts as being “true”- although logic would state that these RCTs don’t address the mountain of other factors in real patients that would add to the uncertainty of the reported outcome being “true” (even in large groups of patients)
if there was a ARR “threshold” or “effect threshold”, below which our professional organizations would say- here is the data, but how it will impact your patient is uncertain, then I think alot of guidelines would be “weakened” to allow for more individualized patient care.
Most guidelines are based on evidence that rely on very small ARRs(and therefore inherently uncertain) even in single disease guidelines.
for example UKPDS suggests lowering A1C from 8 to 7 probably has a NNT of 33 for 10 years of intensive therapy to prevent a single case of laser photocoagulation (no effect on death, MI, CVA etc.)- yet somehow we become so obsessed with getting A1C 6.5 after rotating with endocrinology) that we add brand new drugs with multiple side effects to patients often without regard for long term toxicity/hypoglycemia etc….- just because the risks of this therapy are unmeasured, doesn’t mean that they aren’t likely to exist, or even outweigh the benefit for many patients
Any thoughts on a reported level of ARR that catches your eye as important, and more likely to relfect some degree of “truth” ?