CMS Missed 96 Hospitals with Suspected HAI Reporting Due to Limited Use of Analytics, OIG Report Reveals
OIG suggests better use of analytics by CMS could prevent gaming of the system by providers; clinical laboratories can help through test utilization management technology
It may come as a surprise to many hospital-based pathologists and clinical laboratory managers that the Centers for Medicare and Medicaid Services (CMS) has reason to suspect that some hospitals are “gaming” the system in how they report hospital-acquired infections (HAIs).
In 2015, CMS implemented the Hospital-Acquired Condition Reduction Program (HACRP) as part of the Patient Protection and Affordable Care Act (ACA). The HACRP program incentivizes hospitals to lower their HAI rates by adjusting reimbursements according to the inpatient quality reporting (hospital IQR) data provided by the healthcare providers. Hospital IQR data is the basis on which CMS validates a hospital’s HAI rate (among other things CMS is tracking) to determine the hospital’s reimbursement rate for that year.
However, an April 2017 report by the Office of the Inspector General US Department of Health and Human Services (OIG) noted that CMS was not doing enough to identify and target hospitals with abnormal reporting of HAIs.
The OIG reported:
- CMS, in 2016, met its regulatory requirement to validate inpatient quality reporting data;
- It reviewed data of 400 randomly selected hospitals as well as 49 hospitals targeted for failing to report half their HAIs, or for low scores in the prior year’s validation process;
However, OIG also reported that CMS did not include hospitals that displayed abnormal data patterns in its targeted sample. Targeting those hospitals, according to the OIG, could identify inaccurate reporting.
CMS staff had identified 96 hospitals with aberrant data patterns, but did not target them for validation—even though the agency can select up to 200 targeted hospitals for review, Becker’s Hospital Review pointed out.
Dollars More Important than Deaths
According to the OIG report, Medicare excluded in its investigation dozens of hospitals with suspected HAI reporting. This is odd since the CMS and the Centers for Disease Control (CDC) apparently are aware that some healthcare providers have manipulated data to improve their quality measure scores and thus increase their reimbursement rates.
“Collecting and analyzing quality data is increasingly central to Medicare programs that link payments to quality and value. Therefore, it is important for CMS to ensure that hospitals are not gaming [manipulating data to improve scores] their reporting of quality data,” the OIG report noted.
“There are greater requirements for what a company says about a washing machine’s performance than there is for a hospital on quality of care. And this needs to change,” stated Peter Pronovost, MD, PhD, in the Kaiser Health News article. “We require auditing of financial data, but we don’t require auditing of healthcare quality data, and that implies that dollars are more important than deaths.” Pronovost is Senior Vice President for Patient Safety and Quality at Johns Hopkins University School of Medicine.
Peter Pronovost, MD, PhD (above) testifying on preventable deaths before the Senate Subcommittee on Primary Health and Aging in 2014. He is Senior Vice President for Patient Safety and Quality at Johns Hopkins University School of Medicine in Baltimore. Pronovost told Kaiser Health News that there are no uniform standards for reviewing data that hospitals report to Medicare. (Photo copyright: US Senate Committee on Health, Education, Labor and Pensions.)
Medicare Missed Hospitals with Suspected HAI Data
CMS should have done an in-depth review of many hospitals that submitted “aberrant data patterns” in 2013 and 2014, the OIG stated in its report. According to a Kaiser Health News article, such patterns could include:
- A rapid change in results;
- Improbably low infection rates; and
- Assertions that infections nearly always struck before patients arrived at the hospital.
“There’s a certain amount of blind faith that hospitals are going to tell the truth. It’s a bit much to expect that if they had a bad record they are going to fess up to it,” noted Lisa McGiffert, Director of the Safe Patient Project at Consumers Union, in the Kaiser Health News article.
CMS Needs Better Data Analytics
So, what does the OIG advise CMS to do? The agency called for “better use of analytics to ensure the integrity of hospital-reported quality data.” Specifically, OIG suggested CMS:
- Identify hospitals with abnormal percentages of patients who had infections on admission;
- Apply risk scores to identify hospitals with high propensity to manipulate reporting;
- Use experiences to create and improve models that identify hospitals most likely to game their reporting.
CMS’ Administrator Seema Verma reportedly responded, “We will continue to evaluate the use of better analytics as feasible, based on Medicare’s operational capabilities.”
Medical Laboratory Diagnostic Testing Part of Gaming the System
A 2015 CMS/CDC joint statement noted “three ways that hospitals may be deviating from CDC’s definitions for reportable HAIs,” and two involve diagnostic test ordering. According to the OIG report, they include:
- Overculturing: Diagnostic tests may be overutilized by providers in absence of clinical symptoms. Hospitals may use positive results to game their data by claiming infections that appeared days later were present on admission and thus not reportable.
- Underculturing: Hospitals underculture when they do not order diagnostic tests in the presence of clinical symptoms. By not ordering the test, the hospital does not learn whether the patient truly has an infection and, therefore, the hospital does not have to report it.
- Adjudication: Hospital administrative staff may inappropriately overrule those who report infections. HAIs are, therefore, not shared.
Clinical Laboratories Can Help
One in 25 people each day receives an HAI, CDC estimates. The OIG findings should be a reminder to medical laboratories and pathology groups that quality measures and patient outcomes are often transparent to media, patients, and the public.
One way medical laboratories in hospitals and health systems can help is by investing in utilization management technology and protocols that ensure appropriate lab test utilization. Informing doctors on the availability of appropriate diagnostic tests based on patients’ existing conditions, unique physiologies, or medical histories, could help prevent hospitals from inadvertently or deliberately game the system.
Clearly, transparency in healthcare is increasing. That means there will be more news stories revealing federal agencies’ failures to respond to healthcare data in ways that could have protected patients and the public. Clinical laboratories don’t want to be included in negative reporting.
—Donna Marie Pocius
Related Content:
Medicare Failed to Investigate Suspicious Infection Cases from 96 Hospitals
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