Showing posts with label hospital rankings. Show all posts
Showing posts with label hospital rankings. Show all posts

Saturday, October 20, 2018

Progress on HAI progress: CDC portals and data


I spent about 2 hours with the new CDC HAI Progress Report – loosen your belt, it’s a big meal!  We probably had mixed perceptions about the recent alert to the 2016 HA progress report. Loads of information and analysis condensed down to a handful of bullets, all pointing to improvements in patient safety! The (very pleasant) surprise to me was that the format and delivery of the report has advanced to digital!! CDC has added the HAI progress report to the existing (and now updated) HAI AR Patient Safety Atlas Portal If you stop reading now – at least click on that link and explore and I will call this blog a success!


This report is several steps forward.  First, it pushes all of us to go to a place where we, being inquisitive minds, can wander and perhaps connect some dots within and between datasets. With the digitalization and visualization provided in the portal, the novice and experienced can more easily access and utilize these data. One can click through four distinct datasets, which now include state-summary statistics HAI infection rates/SIRs, inpatient stewardship activities, outpatient antibiotic prescribing rates, and inpatient antibiotic resistance metrics.

Now – the email alert. This year, well 2016 data, is the first to use the 2015 “re-baseline” efforts.


Unstated, but implied – the re-baseline effort includes the use of MBI (mucosal barrier injury) LCBSI as an event excluded from reported CLABSI rates, exclusion of yeasts (or low colony counts) from CAUTI rates, exclusion of “infection present on admission” for SSI (along with better patient-level risk adjustment), first use of risk adjusted metrics for VAE, and maybe slightly better models using more contemporary data for MRSA and CDI. 

With that said, 2016 performance suggests nationally patients are safer overall compared to the experience of 2015. Other than VAE which decreased by only 2%, everything else declined about 7-10% (I am rounding) compared to 2015. I understand many of the problems with risk adjustment and reporting bias that make these surveillance events poor performance measures for individual hospitals – but on the national level – I think these data do suggest fewer infections (o.k., perhaps some  widespread under-reporting—mixed reports on validation efforts in place).

Next – the overview of the current HAI Progress Report.   Although at first glance it seems the same as the info posted in the emails – CDC is offering more ways to track progress nationally – the number of states showing improvements (or worsening) compared to 2015, as well as the number states currently performing at levels better (or worse) then their 2016 contemporaries: 12 state perform better on at least 3 infection types compared to other states at the same time (2016). Now positive deviance nerds need to learn from these states to help the other states (or perhaps identify accuracy and validation issues at these states). The contemporary juxtaposition of SIRs is new, perhaps confusing (especially with CDC’s arcane explanation on how to interpret this: “SIRs statistically significantly lower than the 2016 national SIR are considered better than the 2016 national SIR”; curious if it ends up being useful to state programs. This year also is the first with more detail on inpatient rehabilitation facilities and long-term acute care facilities. Fewer data mean fewer statistical significant results, but these data are ripe for academic partners to latch onto as they try to partner with ARHQ, CDC, and state-programs to branch out into stewardship and prevention efforts in these types of facilities.

Finally, the portal – access it here.  Use the table view. No graphics to export for HAIs, only for other datasets. My pet peeve is that CDC still refused to list the no. of SSIs reported next to the number of surgical procedures reported to allow a crude attack rate. We still need to go to the technical tables for these values and calculate ourselves (see below). CDC, please stop making us jump through this hoop to be able to use attack rates for other purposes like planning studies, clinical trials, vaccine research! To all researchers and data nerds - the detailed technical tables should be downloaded examined (here), perhaps parsed out to our students and trainees, and used for different purposes that simply a “reporting requirement”.  I know there are many limitations to the accuracy of any one facilities reports and likely aggregate data up to the state or national level. However, as a long time national surveillance nerd all too familiar with the warts and ugliness of surveillance data, they do inform us, approximate the truth, and can help us ask the right questions and target the right populations. The more eyes using these data the more transparent the process will become, more uses of the data will be identified, patient safety should improve, and CDC will become more accountable to update (c’mon, where’s 2015 and 2016 NHSN AR data?! update the portal please!!),  maintain, and advance the public accessibility of useful data in our field.

Thursday, January 26, 2017

Playing Nice: Infection Control and Clinical Microbiology in the Pay-For-Performance Era

As it's probably clear, it's been a great honor for me to work (and blog) with Dan and Mike over the past 8! years. One of the things that stands out when talking shop is their ability to see both sides of an argument even while pushing for the changes they support. Many times, their ability to see both sides clearly is possible because they've lived both sides - Mike has been an ID chief and hospital epidemiologist and is now our CQO and Dan is an ID chief, hospital epidemiologist and clinical microbiologist. You know, if I was a fellow or faculty member looking for a hospital epidemiologist position with great mentorship and support, I would move to Iowa...but I digress.

One specific area where understanding competing goals is critically important is the interplay between the increasing sensitivity and precision of microbiologic tests and the growing pressure to reduce HAI. As you can imagine, with 3% of CMS payments potentially at risk, anything that could impact HAI rates in a negative fashion is bound to be a flashpoint for hospital administrators. With that in mind, I point you to Dan's excellent commentary just published in JCM that examines the implications of advances in microbiological testing on HAI rates and provides specific suggestions for how hospital epi programs and clinical microbiology labs can work together to respond to these changes.

Initially, Dan provides three scenarios where changes in the micro lab could directly impact HAI rates (1) The effect of MALDI-TOF on CLABSI rates (2) The shift from EIA to nucleic-acid amplification tests (NAAT) for C. difficile detection and (3) Pressure to block urine culture ordering to reduce CAUTI. After delving into the current CMS reimbursement landscape, the unintended consequences of improvements in diagnostic testing and the use/misuse of surveillance definitions, he provides six valuable recommendations that clinical microbiology labs (CML) and infection prevention programs (IPP) should consider:

(1) CML leadership should select diagnostic approaches with the goal of improving individual patient outcomes

(2) Hospital and IPP leadership should not pressure the CML to alter diagnostic practices based on the need to demonstrate lower HAI rates for pay-for-performance measures. 

(3) Public health authorities (CDC/NHSN) must be proactive in adjusting HAI metrics to changing CML technology

For recommendations 4-6, you're gonna have to read his commentary. But a hint at #6 -  CML and IPP leadership need to collaborate and advocate for their needs, because, unlike at Iowa, both sides aren't always present in the mind of a single person.

Thursday, August 16, 2012

An Ounce of Evidence



Ashish Jha, a physician and health policy researcher at Harvard, has a new blog, An Ounce of Evidence. His first posting is an interesting and informative piece on hospital rankings and includes guest posts by staffers at Consumer Reports and Leap Frog. It's clearly worth taking a look.

Tuesday, April 20, 2010

America's Best Hospitals: Smoke & mirrors?

There's an interesting new study in the latest Annals of Internal Medicine, which critically analyzes U.S. News & World Report's famous ranking of  hospitals. The overall ranking is derived from a composite score that includes objective measures, such as mortality rates and nurse staffing, as well as a single subjective measure, reputation, which is determined by a survey of 250 randomly selected physicians in each specialty. What the author of the paper found is that the top ranked hospitals achieve their lofty spots on the list almost exclusively on the basis of the reputation score. In fact, there was little relationship between the rankings and objective quality measures.

OSHA! OSHA! OSHA!

  In many parts of the country, as rates of COVID-19 are declining and vaccination coverage is increasing (albeit with substantial variati...