During the past few weeks I have been mulling over two issues
related to Quality and Infection Control that have to do with metrics, their
use, and the impact that they have in our hospitals. Two separate topics but
related to a certain degree.
1. My hospital has a strong Quality Department and a
stronger culture of safety. For the most part we have very few serious
infections and even fewer MRSA, VRE, and almost no multidrug resistant Gram
negative rods. Our compliance with hand hygiene is 73% (as per >5000
observations collected over a couple of months by managers from units that are
not their own and concordant readings obtained by the Infection Control Department.
I am trying to tell you that 73% is probably close to accurate). From my
perspective, if indeed true, this is an acceptable rate. I think we should concentrate
on preserving this rate and maybe focus on areas/providers that need more
attention. However, my hospital wants this number to be close to 100%. So, here
are my questions: should we invest more time, effort, and money to push for higher
compliance with hand hygiene? What would be the return on investment of increasing
our hand hygiene compliance and how could we measure its impact? What type of
infections would we prevent by increasing hand hygiene compliance? Yes, our
CLABSIs and CAUTI rates could be better, but would they noticeably improve by
pushing hand hygiene above 80%? (I’m intentionally not discussing C. difficile infections as these have a
different etiology in my hospital). And most importantly what other
interventions would we be overlooking by focusing so much on hand hygiene? Who
decides where to allocate time, effort and money?
2. Over the past couple of decades I have observed a shift
in Infection Control throughout the various places I have worked at from
minimal interest/resources given to Infection Control, to a phase where more
visibility was given to Infection Control matters --probably due to metrics--to
the allocation of more interest/resources, to publicly reported metrics, to institutional
notoriety and reimbursements linked to metrics, to a tunneled vision about
metrics. On this topic, many years ago I observed a human behavior that since I
have observed multiple times: when we started placing fluorescent powder on surfaces
and giving feedback to providers on the degree of removal, cleaning rates
improved (https://www.ncbi.nlm.nih.gov/pubmed/21460514). Feedback was then
given weekly and in a public manner, with a substantial amount of pressure
placed on EVS to improve. The numbers got much better. We eventually figured out that EVS providers bought their own ultraviolet lamps to find the
fluorescent markers and spot clean them. What happened? The metric made sense at the
beginning, initially it probably achieved its intended outcome (more frequent
cleaning) but then a threshold was crossed, after which what mattered was the
metric (as a number) and no longer the intended outcome (more frequent
cleaning). I think the same is happening
to our hospitals. Metrics were beneficial initially (more resources for
Infection Control, more visibility, more engagement of staff, lower infections)
but I would argue that we are on the other phase of the metrics (unintended
consequences). All the pressure we are
placing for lower and lower metrics (get to zero CAUTIs!) might be backfiring.
We are deploying large teams and resources to decrease certain conditions which
is shifting our capability to address issues that might be equally or even more
important in our respective hospitals
(e.g. post craniotomy SSIs). So, who decides how to allocate our limited
resources? I would argue that Quality is now the main decision maker and that
these decisions are strongly guided by publicly reported metrics. Is this good
or bad for our patients? I am not sure. Is this good for the field of Hospital
Epidemiology? I don't think it is. Hospital Epidemiologists need to re-think
their involvement in Quality and become their hospitals’ Chief Quality
Officers. That is the only way I see that we will impart some sense to the
decisions of resource allocation. However, the opportunity for our specialty to
lead in this field might have already passed.


