so, you want to see how your patients are really doing?

EDITORIAL

So, You Want to See How Your Patients Are Really

It is not uncommon for a surgeon to be asked, by a patientwho is deciding whether to undergo a particular surgicalprocedure—say, a bunionectomy or hammertoe repair—aquestion that goes something like this: “How many of thesehave you done?” Or, the savvier patient may inquire: “Howmany of these have you done in the past year?” And thefollow-up question may go like this: “What are your re-sults?” Providing a reasonable answer to the first question isnot difficult, since the CPT code can readily be selected forretrieval from your billing software, and you can evenspecify the time period for which the software algorithmharvests the procedure code or codes. I think that it wouldbe an interesting exercise for surgeons to estimate the an-swer to the “How many have you done?” question, and thencheck their electronic records or surgical case log andcompare the two answers. I suspect they would find eitheroverestimations or underestimations of the actual results.

In regard to answering your patient’s second question, theone about your surgical outcomes, an accurate answer is abit more difficult to provide. Usually the answer is derivedfrom an honest effort to recall one’s surgical outcomes, butrecall bias is likely to influence the answer. Of course, if weare performing a particular procedure regularly, it is likelythat the outcomes we are achieving are beneficial to ourpatients most of the time.

But with just a little preparation, we can be in a positionto answer that patient’s question about outcomes very ac-curately. To do this, the following measures can be helpful.First, prospectively collect selected outcomes informationon every patient in an organized fashion. (Including all ofyour patients prospectively minimizes selection bias in yourpatient population.) Second, be selective in the informationthat you collect to measure your results. One of the mostbasic, and easiest to obtain, measurements is the subjective10 cm visual analog scale (VAS) measurement of an indi-vidual’s pain experience. If this scale is included in yourinitial patient intake information, then you have it for everypatient prior to the start of any form of intervention. At any

VOLUME 46

reasonable comparison of the effect that your interventionhas had on the patient’s subjective evaluation of pain can bedetermined. Finally, in an effort to determine just how mucha patient’s foot pathology influences their quality of life(QOL), prospective administration of a health measurementinstrument that has been shown to be reliable (hence, likelyto provide a valid measurement of one’s subjective foot-related quality of life) could also be obtained when thepatient completes the initial intake paperwork. The QOLhealth measurement instrument should be short and easy forthe patient to complete. Potentially useful questionnaires forthis task include the Bristol Foot Score (15 items) and therevised Foot Function Index (34 items), although there areother acceptable QOL questionnaires. The key to makingthese useful for the purposes of routine data collection is tokeep the survey brief and understandable, so that patientsare likely to answer all questions completely. Have yourpatients repeat the VAS, or the foot-related QOL question-naire, at, say 3 and 12 months after the intervention, and youwill be able to provide a very accurate answer for yourinquisitive and well-prepared patient.

Of course, there are other methods that can be used tomore scientifically ascertain patient outcomes. However, thesuggestions that I have described above can be readilyimplemented and will, in a relatively short period of time,enable surgeons to more accurately know how their patientsare doing. Suggested articles for interested readers include:

Bijur PE, Silver W, Gallagher EJ. Reliability of the visualanalog scale for measurement of acute pain. AcadEmerg Med 8:1153-1157, 2001.

Barnett S, Campbell R, Harvey I. The Bristol foot score:developing a patient-based foot-health measure. J AmPodatr Med Assoc 95:264-272, 2005.

Budiman-Mak E, Conrad K, Stuck R, Matters M. Theoret-ical model and Rasch analysis to develop a revised FootFunction Index. Foot Ankle Int 27:519-527, 2006.

D. Scot Malay, DPM, MSCE, FACFAS

, NUMBER 6, NOVEMBER/DECEMBER 2007 415