We’ve already done
numerous columns showing that adverse patient events and mortality are higher
for patients admitted on weekends, commonly referred to as “the weekend
effect”. We have also noted many studies demonstrating similar adverse
occurrences in patients admitted at night so we sometimes lump weekend and
night admission problems together as “the after-hours effect”.
A new study has looked at data from a large administrative
database over the period 2002 to 2010 to determine the association between
hospital-acquired conditions (HAC’s or “never events”) and admission on
weekends vs. weekdays (Attenello 2015).
They found that the incidence of HAC’s was 5.7% among patients admitted on
weekends vs. 3.7% for those admitted on weekdays. Even after adjustment for a
variety of patient, hospital, and severity cofactors they determined that
weekend admission was associated with a 25% higher likelihood of developing at
least one hospital-acquired condition.
Not surprisingly, the occurrence of a hospital-acquired
condition was associated with a 76% higher hospital charge and an increased
hospital length of stay (from a mean LOS of 4.53 days to 6.26 days). The
authors recognize, however, that this LOS association does not necessarily
imply causality and that it may be patients with longer LOS have more
opportunity to develop a HAC.
Interestingly, patients with comorbid neurological
conditions had a 35% increased likelihood of developing a hospital-acquired
condition. This may be a reflection that patients with moderate to extreme loss
of function were 34% to 157% more likely to incur a HAC (since loss of function
is considerably more likely with many neurological conditions). It would be
interesting to see how the HAC rates compared between hospitals with or without
stroke center designation. We’d expect that those hospitals with coordinated
stroke teams might have lower HAC rates. However, there is currently a
widespread shortage of neurologists (and especially of neurologists available
for night and weekend hospital call) that may be a contributory factor. On the
other hand, delays in ancillary services (eg. CT,
MRI, ultrasound) may impact patients with neurological conditions to a greater
degree than other conditions.
The accompanying editorial (Dharmarajan 2015)
discusses the difficulties of using data from large administrative databases to
determine quality and safety outcomes, noting that estimates obtained from
administrative data have never been convincingly validated against medical
record data for many of the patient safety indicators. They make an argument
that, instead of focusing on strategies to improve weekend care, we must focus
on improving care every day of the week and overall strategies to prevent such
adverse events.
In our many previous columns on the weekend effect or
after-hours effect we have pointed out how hospitals differ during these more
vulnerable times. Our healthcare systems clearly do not deliver uniform care
24x7. Staffing patterns (both in terms of volume and experience) are the most
obvious difference but there are many others as well. Many diagnostic tests are
not as readily available during these times. Physician and consultant
availability may be different and cross-coverage by physicians who lack
detailed knowledge about individual patients is common. You also see more verbal
orders, which of course are error-prone, at night and on weekends. And a difference in non-clinical staffing
may be a root cause. Our
December 15, 2009 Patient Safety Tip of the Week “The
Weekend Effect” discussed how adding non-clinical administrative tasks to
already overburdened nursing staff on weekends may be detrimental to patient
care. Just do rounds on one of your med/surg floors
or ICU’s on a weekend. You’ll see nurses answering phones all day long, causing
interruptions in some attention-critical nursing activities. Calls from
radiology and the lab that might go directly to physicians now go first to the
nurse on the floor, who then has to try to track down the physician. They end
up filing lab and radiology reports or faxing medication orders down to
pharmacy, activities often done by clerical staff during daytime hours. Even in
those facilities that have CPOE, nurses off-hours
often end up entering those orders into the computer because the physicians are
off-site and are phoning in verbal orders. You’ll also see nurses giving
directions to the increased numbers of visitors typically seen on weekends.
They even end up doing some housekeeping chores. All of these interruptions and
distractions obviously interfere with nurses’ ability to attend to their
clinically important tasks (see our Patient Safety Tips of the Week for August
25, 2009 “Interruptions,
Distractions, Inattention…Oops!” and May 4, 2010 “More
on the Impact of Interruptions”).
Perhaps the most significant contribution of the current
study by Attenello and colleagues is the
quantification of the financial impact of HAC’s related to weekend admission.
Since hospitals now (theoretically) bear the brunt of the cost of HAC’s,
perhaps they will see that better upfront investment of resources may save
money in the long run, not to mention result in better patient outcomes.
The weekend effect is complex and involves both
patient-related factors and quality of care factors. While we may not be able
to do much about the patient-related factors, there remains much we can do
about the quality of care factors.
Some of our previous
columns on the “weekend effect”:
·
February 26, 2008 “Nightmares….The
Hospital at Night”
·
December 15, 2009 “The
Weekend Effect”
·
July 20, 2010 “More
on the Weekend Effect/After-Hours Effect”
·
October 2008 “Hospital
at Night Project”
·
September 2009 “After-Hours
Surgery – Is There a Downside?”
·
December
21, 2010 “More
Bad News About Off-Hours Care”
·
June
2011 “Another
Study on Dangers of Weekend Admissions”
·
September
2011 “Add
COPD to Perilous Weekends”
·
August
2012 “More
on the Weekend Effect”
·
June
2013 “Oh
No! Not Fridays Too!”
·
November
2013 “The
Weekend Effect: Not One Simple Answer”
·
August
2014 “The
Weekend Effect in Pediatric Surgery”
·
October
2014 “What
Time of Day Do You Want Your Surgery?”
·
December
2014 “Another
Procedure to Avoid Late in the Day or on Weekends”
·
January
2015 “Emergency
Surgery Also Very Costly”
References:
Attenello FJ, Timothy Wen T, Cen
SY, et al. Incidence of “never events” among weekend admissions versus weekday
admissions to US hospitals: national analysis. BMJ 2015; 350: h1460 (Published
15 April 2015)
http://www.bmj.com/content/350/bmj.h1460
Dharmarajan K, Kim N, Krumholz HM. Patients need safer hospitals, every day of
the week. BMJ 2015; 350: h1826 (Published 15 April 2015)
http://www.bmj.com/content/350/bmj.h1826
Print “May
2015 HAC’s and the Weekend Effect”
A new study that demonstrated a significant positive impact
of the WHO Surgical Safety Checklist on patient morbidity and mortality (Haugen
2015) seems to have touched off a debate on whether we are suffering from “checklist fatigue”. Haugen and
colleagues, using a stepped wedge cluster randomized controlled trial at 2
Norwegian hospitals (one academic and one community), demonstrated that
implementation of the Surgical Safety Checklist reduced complication rates from 19.9% to 11.5% (absolute risk reduction 8.4%).
Moreover, mean hospital length of stay (LOS) was reduced by 0.8 days after the
implementation. Mortality reduction from 1.6% to 1.0% overall did not reach
statistical significance (though at the community hospital a mortality
reduction from 1.9% to 0.2% was statistically significant).
The original introduction of the WHO Surgical Safety
Checklist (Haynes
2009) was associated with striking reductions in both mortality and
complication rates. However, that study and several others have come under some
criticism because of their before-after study designs. And some studies, such
as one done in Ontario, Canada (Urbach 2014)
showed that implementation of surgical safety checklists was not associated
with significant reductions in operative mortality or complications.
So the new study by Haugen and colleagues, using the new
design (which is somewhat similar to crossover studies which you may be more
familiar with in device or medication studies) should have been a welcome
endorsement of the Surgical Safety Checklist. Indeed, in a commentary
accompanying the study, several of the coauthors of the original WHO study were
delighted that the new study showed support for use of the checklist (Haynes
2015). They pointed out that the Haugen study even showed a “dose effect”
in that larger reductions in complications were seen when all portions of the
checklist were followed.
But in a second commentary Stock and Sundt
were less enthusiastic and raised the concern of “checklist fatigue” (Stock
2015). They note that checklists should be used judiciously, and are
particularly useful to prevent memory lapses when a specific sequence of
actions must be taken in order the same way each time. But they point out that
such memory lapses actually are only involved in a small percentage of
significant surgical incidents. They suggest we take a “timeout” before
implementing any new checklist and see if it meets 3 criteria:
These are actually good criteria. We’ve done multiple columns
on checklists (listed below) and described the ideal qualities of checklists in
several of them.
The Haynes commentary also points out that the Norwegian
study did several important things during its implementation. First, it
modified the Surgical Safety Checklist to meet local needs. Second, they
piloted it before widespread implementation, allowing for adjustments and for
development of “champions” and “super users” who would be key players in
further rollout. And, third, they did appropriate education for all disciplines
affected when they did their widespread rollout.
We continue to be enthusiastic proponents of checklists.
They need to be short and they don’t need to include a whole bunch of items
that are seldom forgotten. And checklists are really good communication tools.
So the wisdom of the criteria proposed by Stock and Sundt
is well-grounded.
But perhaps a real lesson is that it is not simply enough to
implement a checklist blindly based upon its successes in other venues. You
actually need to measure after implementation to ensure it led to its intended
effect and did not produce any unintended consequences.
Some of our prior columns on checklists:
References:
Haugen AS, Søfteland E, Almeland SK, et al. Effect of the
World Health Organization Checklist on Patient Outcomes: A Stepped Wedge
Cluster Randomized Controlled Trial. Annals of Surgery 2015; 261(5): 821-828
Haynes A, Weiser T, Berry W, et al. A surgical safety
checklist to reduce morbidity and mortality in a global population. N Engl J Med 2009; 360(5): 491-499
http://www.nejm.org/doi/full/10.1056/NEJMsa0810119#t=articleTop
Urbach DR, Govindarajan
A, Saskin R, et al. Introduction of surgical safety
checklists in Ontario, Canada. N Engl J Med 2014;
370(11): 1029-1038
http://www.nejm.org/doi/full/10.1056/NEJMsa1308261
Haynes AB, Berry WR, Gawande AA. What
Do We Know About the Safe Surgery Checklist Now? Annals of Surgery 2015; 261(5):
829-830
Stock CT, Sundt T. Timeout for
Checklists? Annals of Surgery 2015; 261(5): 841-842
http://journals.lww.com/annalsofsurgery/Fulltext/2015/05000/Timeout_for_Checklists_.5.aspx
Print “May
2015 The Great Checklist Debate”
Among our numerous
columns on potentially inappropriate medication use in the elderly, we’ve done
a few specifically on deprescribing (see our Patient
Safety Tips of the Week for March 4, 2014 “Evidence-Based
Prescribing and Deprescribing in the Elderly” and
September 30, 2014 “More
on Deprescribing”).
We always recommend
that you do a “brown bag” medication reconciliation at least annually with all
your geriatric patients in which you determine all the medications a patient is
taking, including OTC drugs and supplements. The same can be done in a
Medication Therapeutic Management (MTM) session with a pharmacist or nurse in
other settings. You will always be surprised how many drugs are found to be
duplicative or no longer necessary or potentially inappropriate and the
opportunity to “deprescribe” presents itself.
But a new study from
Australia points out that we often miss another ideal opportunity for deprescribing: the inpatient hospitalization (Hubbard
2015). They looked at patients aged
70 years or older admitted to general medical units of 11 acute care hospitals
and, not unexpectedly, found that polypharmacy and hyperpolypharmacy
were prevalent. However, significantly, they found that despite identification
of multiple medications that might be considered potentially inappropriate
almost no changes were made in the number or classification of medications.
Hubbard and colleagues note that the optimal setting for deprescribing is not clear. The inpatient setting typically
has time constraints and the inpatient physicians may be much less familiar
with the whole clinical picture than the outpatient physicians. Nevertheless,
an inpatient hospitalization should be considered an opportunity to consider deprescribing.
In a related commentary several Australian healthcare
professionals discuss the importance of better communication channels between
all parts of the healthcare system (Mitchell
2015).
While it may be time-intensive, we believe that failure to
do a thorough medication review with intent to deprescribe
while the patient is an inpatient is, indeed, a missed opportunity. The
inpatient physicians can arrange for a time to discuss the medications with the
primary care physician. The inpatient hospitalization provides another unique
opportunity. We’ve mentioned on numerous occasions that physicians almost never
discontinue a medication they have prescribed even if it appears on Beers’ list
or the STOPP list or equivalent list of potentially inappropriate medications.
But here it is possible to say “things are different now” so we are going to
take you off this medication.
Some of our past columns on Beers’ List and Inappropriate
Prescribing in the Elderly:
References:
Hubbard RE, Peel NM, Scott IA, et al. Polypharmacy among
inpatients aged 70 years or older in Australia. Med J Aust
2015; 202(7): 373-377
https://www.mja.com.au/system/files/issues/202_07/hub00172.pdf
Mitchell C. Polypharmacy a shared duty. MJA InSight 2015; Monday, 20 April, 2015
https://www.mja.com.au/insight/2015/14/polypharmacy-shared-duty
Print “May
2015 Hospitalization: Missed Opportunity to Deprescribe”
ECRI
Institute has published its Top 10 Patient Safety Concerns for 2015. This
year's list includes:
1. Alarm hazards: inadequate alarm configuration policies and practices
2. Data integrity: incorrect or missing data in EHRs and other health IT
systems
3. Managing patient violence
4. Mix-up of IV lines leading to misadministration of drugs and solutions
5. Care coordination events related to medication reconciliation
6. Failure to conduct independent double checks independently
7. Opioid-related events
8. Inadequate reprocessing of endoscopes and surgical instruments
9. Inadequate patient handoffs related to patient transport
10. Medication errors related to pounds and kilograms
We can’t object to any of these being on the list and have
done numerous columns on each topic. We’ll let you go to the ECRI Institute
website where you can download their informative and useful document.
References:
ECRI Institute. Top 10 Patient Safety Concerns for 2015
https://www.ecri.org/Pages/Top-10-Patient-Safety-Concerns.aspx
Print “May
2015 ECRI Institute’s Top 10 Patient Safety Concerns for 2015”
Print “May
2015 What's New in the Patient Safety World (full
column)”
Print “May
2015 HAC’s and the Weekend Effect”
Print “May
2015 The Great Checklist Debate”
Print “May
2015 Hospitalization: Missed Opportunity to Deprescribe”
Print “May
2015 ECRI Institute’s Top 10 Patient Safety Concerns for 2015”
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version”
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