What’s New in the
Patient Safety World
August 2018
· Thromboembolism:
Another Downside of Transfusions
· Burnout
and Medical Errors
· Pediatric
Adverse Events
· IHI
on Safety of Care in the Home
Thromboembolism:
Another Downside of Transfusions
The move in recent years toward more restrictive transfusion
policies and practices has been fueled by increased recognition of untoward
side effects of transfusions and controlled clinical trials demonstrating as
good or better outcomes with the more restrictive practices in most cases (see
the list of our prior columns at the end of today’s column).
Now, an additional risk associated
with transfusion has been identified: venous thromboembolism. Goel and
colleagues (Goel 2018) analyzed data from the American College of Surgery National
Surgical Quality Improvement Program (ACS-NSQIP) database, They found that
perioperative RBC transfusion was associated with higher odds of venous
thromboembolism (adjusted odds ratio 2.1),
deep venous thrombosis (aOR 2.2), and pulmonary
embolism (aOR 1.9), independent of various
putative risk factors.
Moreover, they found a significant dose-response effect, with increased odds of VTE as the number of
intraoperative and/or postoperative RBC transfusion events increased. The
adjusted odds ratios were 2.1 for one event, 3.1 for 2 events, and 4.5 for 3 or
more events compared to no intraoperative or postoperative RBC transfusion.
And the association between any
perioperative RBC transfusion and postoperative VTE was statistically
significant across all surgical subspecialties.
The Goel article goes on to discuss the putative mechanisms
by which RBC transfusions might increase the risk of venous thromboembolism.
So
the new study provides even more evidence to support restrictive transfusion
practices in most cases. You’ll recall the AABB (American Association of Blood Banks) updated its guidelines in 2016 (see
our November 2016 What's New in the Patient Safety World column “AABB Updates
Transfusion Guidelines Again”) and recommended two tiers of hemoglobin level
transfusion triggers (Carson 2016):
- 7 g/dL for hemodynamically stable adults, even those in critical
care
- 8 g/dL for patients with preexisting cardiovascular disease or those
undergoing cardiac or orthopedic surgery
But even the recommendation for orthopedic surgery has been challenged.
Researchers at Johns Hopkins Bayview Medical Center looked at outcomes in
orthopedic surgery patients before and after implementation of a blood
management program (Gupta 2017). The program consisted of provider education, tranexamic
acid, a new surgical blood order schedule, electronic best practice advisories,
a “Why Give 2 When 1 Will Do?” campaign advocating single unit RBC
transfusions, and audits with provider feedback for guideline compliance. They
found, after implementation of the new program, a 38% decrease in percent of
patients transfused, and a 25% decrease in mean RBC units per patient. Median
length of stay was one day shorter in the post blood-management group with a
statistically significant decrease in 30-day readmission rate and no difference
in adverse outcomes. (Note that we discussed the Hopkins program (Sadana 2017) in our December 2017 What's New in the Patient
Safety World column “Study Confirms Safety
of Restrictive Transfusion Policy”.)
Increasing evidence suggests that
more restrictive transfusion practices improve patient safety and outcomes and
can lead to considerable financial savings, not only from reduced blood product
costs but also from the savings seen with fewer complications, shorter lengths
of stay, etc.
Prior columns on
potential detrimental effects related to red blood cell transfusions:
References:
Goel R, Patel EU, Cushing MM, et al.
Association of Perioperative Red Blood Cell Transfusions with Venous
Thromboembolism in a North American Registry. JAMA Surgery 2018; Published
online June 13, 2018
https://jamanetwork.com/journals/jamasurgery/fullarticle/2683886?utm_source=silverchair&utm_medium=email&utm_campaign=article_alert-jamasurgery&utm_content=olf&utm_term=061318
Gupta PB, Scher
LJ, Yang WW, et al. Impact of a Patient Blood Management Program on Blood Utilization
and Clinical Outcomes in Orthopedic Surgery. ANESTHESIOLOGY 2017 Abstract
A3101.
http://asaabstracts.com/strands/asaabstracts/abstract.htm?year=2017&index=15&absnum=4722
Carson JL, Guyatt G, Heddle NM, et
al. Clinical Practice Guidelines from the AABB. Red Blood Cell Transfusion
Thresholds and Storage. JAMA 2016; Published online October 12, 2016
http://jamanetwork.com/journals/jama/article-abstract/2569055
Sadana D, Pratzer A, Scher
LJ, et al. Promoting High-Value Practice by Reducing Unnecessary
Transfusions with a Patient Blood Management Program. JAMA Intern Med 2017;
Published online November 20, 2017
https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2663855
Print “August
2018 Thromboembolism: Another Downside of Transfusions”
Burnout and
Medical Errors
We’ve done numerous columns on the impact of fatigue on
medical errors. A recent study published in the Mayo Clinic Proceedings (Tawfik
2018) showed that physicians reporting excessive fatigue were almost
40% more likely to have reported a major medical error
in the prior 3 months. But, more surprisingly, the study showed that
physicians reporting symptoms of burnout
were more than twice as likely to have reported a major
medical error in the prior 3 months.
The study was based upon physicians in the American Medical
Association Physician Masterfile invited to respond to an anonymous survey. The
survey was completed by 19% of those who opened the request for participation.
Note that the term “burnout” was not used in the survey. Rather, questions
included symptoms commonly related to burnout.
54.3% of respondents reported
symptoms of burnout, 32.8% reported excessive fatigue, and 6.5% reported recent
suicidal ideation. One other factor assessed was a poor or failing patient
safety grade in their primary work area and this was reported by 3.9% of
respondents. Overall, 10.5% of respondents reported making a major medical error
in the prior 3 months. Error in judgment (39%), diagnoses (20%), and technical
mistakes (13%) were the most commonly reported errors.
Physicians reporting errors were
more likely to have symptoms of burnout (77.6% vs 51.5%;), fatigue (46.6% vs 31.2%),
and recent suicidal ideation (12.7% vs 5.8%).
In multivariate modeling, odds
ratios (OR) for association with errors were 2.22 for burnout, and 1.38 for
excessive fatigue.
As you’d expect, errors were more
likely to be reported as the safety grade for their primary work unit worsened.
For safety grades B, C, D, and F the respective odds ratios for errors were
1.70, 1.92, 3.12, and 4.37 compared to safety grade A. In a press release about
the study (White
2018), co-author Tait Shanafelt said, “This
indicates both the burnout level as well as work unit safety characteristics
are independently related to the risk of errors.” Lead author Danial Tawfik
noted the study also showed that rates of medical errors actually
tripled in medical work units, even those ranked as extremely safe, if
physicians working on that unit had high levels of burnout. He felt this
indicates that burnout may be an even a bigger cause of medical error than a
poor safety environment.
As with any study based on responses
to a survey, there may well be some degree of selection bias and the results
show an association but not necessarily causality. But, while there may be some
inaccuracy in the actual statistics, we believe the overall message of the
study: burnout is a real problem and it contributes to medical errors and
untoward patient outcomes.
We, thus, need better ways to recognize physician burnout
and interventions to offer support when we recognize it. Other industries have
recognized job burnout and developed approaches to address it. We need to
borrow from those industries and apply their approaches to healthcare. An
excellent review on physician burnout also recently appeared in the Mayo Clinic
Proceedings (Olson
2017).
Also of interest is another recent study that showed physician
burnout symptoms were fewer in small independent primary care practices (Blechter 2018). Over 70% of those physicians were solo practitioners so the
authors propose one explanation could be the autonomy (ie,
control of work environment) associated with owning one's own practice as
opposed to working in an integrated health system or Federally Qualified Health
Center where providers are subject to greater administrative regulations. They
also found that higher “adaptive reserve” scores were associated with lower
levels of burnout. They suggest that interventions to reduce burnout in primary
care practices should focus on strengthening factors that support
organizational capacity for change (ie, strong
communication, leadership supports, innovation).
References:
Tawfik DS, Profit J, Morgenthaler TI, et al. Physician Burnout, Well-being, and
Work Unit Safety Grades in Relationship to Reported Medical Errors. Mayo Clinic
Proceedings 2018; Published online: July 9, 2018
https://www.mayoclinicproceedings.org/article/S0025-6196(18)30372-0/fulltext
White T. Medical errors may stem
more from physician burnout than unsafe health care settings. Stanford Medicine
Press Release. July 8, 2018
https://med.stanford.edu/news/all-news/2018/07/medical-errors-may-stem-more-from-physician-burnout.html
Olson KD. Physician Burnout—A
Leading Indicator of Health System Performance? Mayo Clinic Procedings
2017; 92(11): 1608-1611
https://www.mayoclinicproceedings.org/article/S0025-6196(17)30690-0/fulltext
Blechter B, Jiang N, Cleland C, et
al. Correlates of Burnout in Small Independent Primary Care Practices in an
Urban Setting. J Am Board Fam Med 2018; 31(4): 529-536
http://www.jabfm.org/content/31/4/529.full
Print “August
2018 Burnout and Medical Errors”
Pediatric Adverse
Events
Trigger tools have
provided a good way to identify adverse events in hospitalized patients and in
other healthcare settings (see our prior columns on trigger tools listed
below). Most of the early work on trigger tools was done in adult patients but Stockwell et al. (Stockwell
2015) developed and tested a
trigger tool that would identify the most common causes of harm in pediatric
inpatient environments. Expanding upon that, the safety surveillance
tool GAPPS (Global Assessment of Pediatric Patient Safety) has been validated
and now studied in multiple children’s hospitals.
A new study shows that adverse event
(AE) rates remain high in hospitalized pediatric patients and have not
substantially improved over time (Stockwell 2018). Researchers used the GAPPS tool to
measure temporal trends in AE rates among hospitalized children from 2007 to
2012. They randomly selected pediatric inpatient records from 16 teaching and
nonteaching hospitals.
Among 3790 records reviewed, they found 414 AEs (19.1 AEs
per 1000 patient days) and 210 preventable AEs (9.5 AEs per 1000 patient days).
On average, teaching hospitals had higher AE rates than nonteaching hospitals
(26.2 vs 5.1 AEs per 1000 patient days). The most frequently identified AE’s
were hospital-acquired infections, intravenous line complications, gastrointestinal
events, respiratory-related events, and “other”. As we’d expect, chronically
ill children had higher AE rates than patients without chronic conditions (33.9
vs 14.0 AEs per 1000 patient days). They found that neither teaching nor
nonteaching hospitals experienced significant variations in AE rate over the
time of the study.
In terms of severity, 1.2% of AEs resulted in permanent
harm, 10.1% were potentially life-threatening, 0.7% were fatal or contributed
to a patient's death. Perhaps most striking is that 50.7% were considered
potentially preventable.
In the accompanying editorial, Quinonez
and Schroeder (Quinonez
2018) noted some prior studies had suggested AE rates were
decreasing but that the GAPPS tool is better at identifying AE’s. But they also
note that GAPPS may miss some harms, such as those related to the “diagnostic
cascade” that results from overtesting.
Though the analysis did not look at trends after 2012, the
findings suggest that adverse events in pediatric patients remain at high
levels and that many are potentially preventable. Use of trigger tools like
GAPPS can help with identification of such adverse events and help hospitals
and health systems identify areas in need of improvement.
Some of our prior columns on trigger tool methodology:
References:
Stockwell DC, Bisarya
H, Classen DC, et al. A Trigger Tool to Detect Harm in Pediatric Inpatient
Settings. Pediatrics 2015; Published online ahead of print May 18, 2015
http://pediatrics.aappublications.org/content/early/2015/05/12/peds.2014-2152
Stockwell DC, Landrigan
CP, ToomeySL, et al. for the GAPPS Study Group
Adverse Events in Hospitalized Pediatric Patients.
Pediatrics Jul 2018, e20173360
http://pediatrics.aappublications.org/content/early/2018/07/11/peds.2017-3360
Quinonez RA, Schroeder AR. “GAPPS”
in Patient Safety. Pediatrics Jul 2018, e20180954
http://pediatrics.aappublications.org/content/early/2018/07/11/peds.2018-0954?sso=1&sso_redirect_count=1&nfstatus=401&nftoken=00000000-0000-0000-0000-000000000000&nfstatusdescription=ERROR%3a+No+local+token
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2018 Pediatric Adverse Events”
IHI on Safety of
Care in the Home
IHI (Institute for Healthcare Improvement) just published an
excellent report/monograph “No Place Like Home: Advancing the Safety of Care in
the Home” (IHI
2018). It identifies some of the unique issues that apply to care in the
home setting. Much is based on a previous IHI report “Patient Safety in the Home: Assessment of Issues, Challenges, and
Opportunities” (Carpenter
2017).
They identify the following factors that make safe care in
the home especially challenging:
- The provision of care
outside the controlled environment of the health care system
- Issues with communication
and care coordination among the care team, the care recipient, and the
family caregiver
- The need to balance
autonomy and risk
- The closeness of the link
between the care recipient and those providing care
- The limited health
literacy of the care recipient and the family caregiver
- Variable availability of
data
- Social and physical
isolation
- The variety of needs and
populations
They identify risks specific to care in the home and the
potential harms associated with those risks, which often have underlying causes
that are interrelated:
- Adverse events related to
medication and other forms of treatment
- Injuries due to physical
hazards in the home (e.g., falls)
- Injuries related to
equipment and technology
- Pressure injuries
- Infections
- Conditions related to poor
nutrition
- Adverse effects on family
caregivers
- Adverse effects on home
care workers
- Potential neglect and
abuse of care recipients
The report provides
recommendations, strategies, and tools for realizing five guiding principles:
- Principle 1: Self-determination and person-centered care are
fundamental to all aspects of care in the home setting.
- Principle 2: Every organization providing care in the home must
create and maintain a safety culture.
- Principle 3: A robust learning and improvement system is necessary
to achieve and sustain gains in safety.
- Principle 4: Effective team-based care and care coordination are
critical to safety in the home setting.
- Principle 5: Policies and funding models must incentivize the
provision of high-quality, coordinated care in the home and avoid
perpetuating care fragmentation related to payment.
We encourage you to go to the IHI website and download the
full report(s). As usual, IHI has done an excellent job of summarizing some of
the challenges in yet another healthcare setting.
We also hope you’ll go back to our August 13, 2013 Patient
Safety Tip of the Week “Adverse
Events in Home Care” that summarized the findings of several
excellent Canadian studies on patient safety issues in the home setting.
Some of our prior
columns on patient safety issues in the home:
References:
IHI (Institute for Healthcare Improvement). No Place Like
Home: Advancing the Safety of Care in the Home. IHI 2018
http://www.ihi.org/resources/Pages/Publications/No-Place-Like-Home-Advancing-Safety-of-Care-in-the-Home.aspx
Carpenter D, Famolaro T, Hassell
S, et al. Patient Safety in the Home:
Assessment of Issues, Challenges, and Opportunities. Cambridge,
Massachusetts: Institute for Healthcare Improvement; August 2017
http://www.ihi.org/resources/Pages/Publications/Patient-Safety-in-the-Home.aspx
Print “August
2018 IHI on Safety of Care in the Home”
Print “August
2018 What's New in the Patient Safety World (full column)”
Print “August
2018 Thromboembolism: Another Downside of Transfusions”
Print “August
2018 Burnout and Medical Errors”
Print “August
2018 Pediatric Adverse Events”
Print “August
2018 IHI on Safety of Care in the Home”
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