There is an interesting paper in the most recent Clinical Infectious Diseases on the Surgical Care Improvement Project (SCIP) and the Hospital Outpatient Measures Project (HOP). These are national QI projects intended to improve surgical care. The article lays out numerous problems with these projects, yet despite that, results from these projects will now begin to impact hospital reimbursement.
The authors note: "Measures are rolled out before their full impact is assessed, using live hospitals as the testing ground and relying on individuals trying to comply with these measures to troubleshoot. When issues do arise that require the measures to be changed, response times are invariably at least 6 months; meanwhile patients may be at risk, and measures are consistently failed."
It would be very interesting to know what these projects have cost hospitals. At my hospital, we have 1.5 nurse FTE just to abstract the data. Beyond that are thousands of hours of physician and nurse time spent trying to improve compliance with the metrics. And yet, there remains no compelling published data that outcomes have been improved.
Dale Bratzler, the brainchild of the projects, writes a response in the same issue of CID. At best, his response is tepid, and sheds little light on why these projects should be continued. His commentary ends like this: "The specific issues with SCIP performance metrics highlighted by Weston and colleagues are clearly a source of frustration for providers. However, the authors do not provide any evidence that harm has occurred because of implementation of SCIP." Ok, so we wasted millions of dollars, frustrated clinicians, and are about to punish hospitals financially, but we don't think any patients were harmed. Now that's exactly why much of QI is viewed as a joke!
Pondering vexing issues in infection prevention and control
Showing posts with label HOP. Show all posts
Showing posts with label HOP. Show all posts
Sunday, January 27, 2013
Sunday, September 26, 2010
Why are quality and infection prevention programs like oil & water?
This week, I analyzed our most recent performance in the HOP project. HOP is an acronym for the Hospital Outpatient Quality Data Reporting Program (HOP QDRP), a CMS program that is publicly reported at Hospital Compare. HOP is the outpatient analogue of SCIP (the Surgical Care Improvement Project), though HOP has only 2 metrics--pre-procedure antibiotic selection and appropriate timing of the antibiotic dose. We slice the data by procedure, service and surgeon to look for areas where performance is suboptimal. I received an email from one of our senior surgeons who complained that he had several cases where he was deemed noncompliant because the pre-procedure anitbiotic was not given within the window period 60 minutes prior to incision. He pointed out that the reason for his "noncompliance" was that these were dialysis patients who had received a dose of vancomycin at dialysis the day before. And he was practicing good medicine because the patients would still have a therapeutic level of vancomycin at the time of the procedures (all vascular access procedures). So we posted a query as to why this situation would be considered noncompliant (i.e., could the rules be changed to allow for this situation?). We received prompt responses from the physician in charge of the national project, but he avoided answering the question. After multiple emails back and forth, he finally stated that the surgeon did the right thing, but it would still be deemed noncompliant. He went on to say that hospitals should not use the data in this way (i.e., drill it down to the provider level) and the project leadership could not possibly think of all the exceptions for when an antibiotic should not be given within 60 minutes of incision. Now I have some problems with his thinking--if you are going to publicly report our performance then I think you need to be flexible enough to allow for exceptions that actually reflect good practice, and in an environment of 24/7 communication it shouldn't be hard to have a panel of experts make decisions on requests for exceptions to the rules. With SCIP we've actually been dinged when a pre-op antibiotic was not given before incision for a patient who entered the OR in cardiac arrest! I've blogged before about how these types of problems really turn physicians off not just to these specific projects but to quality improvement projects in general.
All of this made me think some more about the differences in quality improvement and healthcare epidemiology. The table below is modified from a plenary talk I gave at SHEA a few years ago. These differences really become sources of friction when QI and hospital epi folks are pulled into common projects like SCIP and HOP.
I don't have any solutions for how to make the groups work together more effectively. But perhaps starting with a recognition that our approaches to problems are different is a start.
All of this made me think some more about the differences in quality improvement and healthcare epidemiology. The table below is modified from a plenary talk I gave at SHEA a few years ago. These differences really become sources of friction when QI and hospital epi folks are pulled into common projects like SCIP and HOP.
Characteristic | Healthcare Epidemiology | Quality Improvement |
Philosophic orientation | Modern | Post-modern |
Primary influences | Science & medicine | Business |
Analytic orientation | Population based | Often case based |
Focus | Exploration & analysis | Modification |
Primary audience | Internal stakeholders | External stakeholders |
Primary task | Define problems, elucidate risk factors | Design & implement interventions |
Content expertise | Almost always | Usually not |
Strength | Rigorous methodology & validity | Process design |
Approach | Structured, relatively uniform | Innovative |
Delivery style | Instructive | Collaborative |
Solutions | Targeted | Empiric |
Tactics | Data oriented, relatively dull | Flashy campaigns, catchy slogans |
Perspective | Long term | Short term, evolving |
Tempo | Relatively slow | Relatively fast |
I don't have any solutions for how to make the groups work together more effectively. But perhaps starting with a recognition that our approaches to problems are different is a start.
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