More Related Content Similar to Healthcare’s Challenging Trio: Quality, Safety, and Complexity (20) More from Health Catalyst (20) Healthcare’s Challenging Trio: Quality, Safety, and Complexity 1. © 2014 Health Catalyst
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John L. Haughom, MD
March 2014
Healthcare’s Challenging Trio:
Quality, Safety and Complexity
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Healthcare: The Way It Should Be
Section One – Forces Driving
Transformation
• Chapter One – Forces Defining and
Shaping the Current State of U.S.
Healthcare
• Chapter Two – Present and Future
Challenges Facing U.S. Healthcare
Section Two – Laying the Foundation for
Improvement and Sustainable Change
• What will it take to successfully ride the
transformational wave?
Section Three – Looking into the Future
• What will it take to successfully ride the
transformational wave?
2
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Seminal IOM Publications
3
November 1, 1999:
The Institute of Medicine
Committee on Quality of Health Care in America
announces its first report:
To Err is Human:
Building a Safer Health System
Health care in the United States is not
as safe as it should be and can be.44,000 to 98,000
deaths annually!
“
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Patient Safety: A known problem…
4
Prevalence of adverse events is a known problem…
Given the existence of undesired circumstances, there is no insulation against
error!
• 1964 – Schimmel et. al. (Ann. Int.
Med.)
– 20% of University Hospital
admissions result in injury with 20%
fatality rate
• 1981 – Steel et. al. (NEJM)
– 36% of Teaching Hospital
admissions result in injury with 25%
of such injuries being serious
• 1989 – Gopher et. al. (Proc. Human
Factors Society)
– 1.7 errors/day/patient with 29% that
are potentially serious
• See Table for more studies…
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Reaching the Public’s Attention
Error Institution Year Impact
A 18 year old woman, Libby Zion,
daughter of a prominent reporter,
dies of a medical mistake, partly
due to lax resident supervision
Cornell’s New York
Hospital
1984 Public discussion regarding resident training,
supervision, and work hours. Led to New York
law regarding supervision and work hours,
ultimately culminating in ACGME duty hour
regulations.
Betty Lehman, a Boston Globe
healthcare reporter, dies of a
chemotherapy overdose
Harvard’s Dana Farber
Cancer Institute
1994 New focus on medication errors, role of
ambiguity in prescriptions and possible role of
computerized prescribing and decision support.
Willie King, a 51 year old
diabetic, has the wrong leg
amputated
University Community
Hospital, Tampa, Florida
1995 New focus on wrong-side surgery, ultimately
leading to Joint Commission’s Universal
Protocol, and later the surgical checklist, to
prevent these errors.
18 year old Josie King dies of
dehydration
Johns Hopkins Hospital 2001 Josie’s parents form an alliance with Johns
Hopkins’ leadership (leading to the Josie King
Foundation and catalyzing Hopkins’ safety
initiatives), demonstrating the power of
institutional and patient collaboration.
Jessica Santillan, a 17 year old
girl from Mexico, dies after
receiving a heart-lung transplant
of the wrong blood type
Duke University Medical
Center
2003 New focus on errors in transplantation and on
enforcing strict, high reliability protocols for
communication of crucial data.
The twin newborns of actor
Dennis Quaid are nearly killed by
a heparin overdose
Cedars-Sinai Medical
Center
2007 Renewed focus on medication errors and the
potential value of bar coding to prevent
prescribing errors.
5
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Adverse Events: Lethal &
Expensive
6
• Adverse events are the 8th leading
cause of death
• Total cost of preventable adverse
events = $19-29 billion annually
• Cost of preventable medication
errors = $16.4 billion annually
• Cost of preventable readmissions =
$17 billion annually
Medical Errors estimate is midrange
of IOM figures of 44,000-98,000
Medical errors are costly in terms of human suffering
and in real dollar terms
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And the Problem Extends to the
Outpatient World…
7
For Every:
• 1000 patients coming in for
outpatient care1
• 1000 patients who are taking a
prescription drug2
• 1000 prescriptions written3
• 1000 women with a marginally
abnormal mammogram4
• 1000 referrals5
• 1000 patients who qualified for
secondary prevention of high
cholesterol6
There Appear to Be:
•14 patients with life-threatening or
serious ADEs
•90 who seek medical attention
because of drug complications
•40 with significant medical errors
•360 who will not receive appropriate
follow-up care
•250 referring physicians who have
not received follow-up information in
4 weeks
•380 will not have a LDL-C, within 3
years, on record
(1) Gandhi T et al. Adverse drug events in primary care, under review, NEJM. (2) Gandhi T et al. Drug complications in outpatient settings J Gen Int Med 2000.
(3) Gandhi TK et al. Adverse drug events in primary care, under review, NEJM. (4) Poon E, et. al. Failure to follow mammographers recommendations on
marginally abnormal mammograms: determination of associated factors [abstract]. J Gen Intern Med 2001. (5) Gandhi T et. al. Communication breakdown in the
outpatient referral process J Gen Intern Med 2000. (6) Maviglia SM, et.al. Using an electronic medical record to identify opportunities to improve compliance
with cholesterol guidelines J Gen Intern Med 2001
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Seminal IOM Publications
8
March 1, 2001:
The Institute of Medicine
Committee on Quality of Health Care in America
announces its second report:
Crossing the Quality Chasm:
A New Health System for the 21st Century
Between the health care we have and the care
we could have lies not just a gap, but a chasm.
“
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How Good is American Healthcare?
Only 50% of Americans receive recommended
preventive care
Patients with acute illness:
• 70% received recommended treatments
• 30% received contraindicated treatments
Patients with chronic illness:
• 60% received recommended treatments
• 20% received contraindicated treatments
9
Schuster MA, McGlynn EA, Brook RH. How good is the quality
of healthcare in the United States? Millbank Quarterly.
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Types of Quality Problems
Several types of quality problems in healthcare have
been documented by the IOM:
•Variation in services
•Underuse of services
•Overuse of services
•Misuse of services
•Disparities in quality
10
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How Good is American Health Care?
Aspirin ACE inhibitors Beta-blockers Reperfusion
Medication
0
10
20
30
40
50
60
70
80
90
100
%"idealpatients"receiving
Major teaching Minor teaching Nonteaching
Allison JJ et al. Relationship of hospital teaching with quality of care and mortality for
Medicare patients with acute MI. JAMA 2000; 284(10):1256-62 (Sep 13)
11
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Practice Variation in the U.S.
12
The Dartmouth Atlas of Healthcare is available at: http://www.dartmouthatlas.org
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Practice Variation in the U.S.
13
0.0
20.0
40.0
60.0
80.0
100.0
%ReceivingBetaBlockers
10.0
15.0
20.0
25.0
30.0
35.0
40.0
45.0
50.0
55.0
%AdmittedtoICU
Red Dots Indicate HRRs Served by U.S.
News 50 Best Hospitals for Geriatric Care
Red Dots Indicate HRRs Served by U.S.
News 50 Best Hospitals for Cardiovascular
Care
The Dartmouth Atlas of Healthcare is available at: http://www.dartmouthatlas.org
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Unwarranted & Warranted Sources
of Practice Variation
• Clinical differences among
patients
• Variable risk attitudes
• Variable preferences
among health outcomes
• Variable willingness to
make time trade-offs
• Variable tolerance for
decision responsibility
• Variable coping styles
Warranted
Patient-Centered
14
• Variable access to
resources and expertise
• Insufficient research
• Unfounded enthusiasm
• Parochial perspectives
• Faulty interpretation
• Poor information flow
• Poor communication
• Role confusion
Unwarranted
Knowledge-Based
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Extensive research has made it
very clear…
…inappropriate variation…
…harms patients,
leads to poor quality,
and results in waste…
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Reasons for Practice Variation
16
Inadequate levels of safety and inconsistent quality result
from clinical uncertainty which in turn results from:
• An increasingly complex healthcare environment
• Rapidly exploding medical knowledge
• Lack of valid clinical knowledge (poor evidence)
• Over reliance on subjective judgment
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Human Limitations
Miller, G.A.
The magic number is seven, plus or minus two:
limits on our capacity for processing information.
Psychological Review 1956; 63(2):81-97
17
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Medical Progress Over Half a
Century
18
Care circa 1960… Care circa 2011…
The complexity of modern American medicine
exceeds the capacity of the unaided human mind.
- David Eddy, MD, PhD
“
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The Evidence Base is Expanding
19
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
12000
10000
8000
6000
4000
2000
12000
10000
8000
6000
4000
2000
00
Year
NumberofRCTs
First RCT published: 1952
First five years (66-70): 1% of all RCTs published from 1966 to 1995
Last five years (91-95): 49% of all RCTs published from 1966-1995
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Rapidly Exploding Medical Knowledge
20
In 2004, the U.S. National Library of Medicine added
almost 11,000 new articles per week to its on-line archives
That represented about 40% of all articles published,
world-wide, in biomedical and clinical journals.
(1,500 – 3,500 completed references per day, 5 days a week)
To maintain current knowledge, a general internist would need to read:
– 20 articles per day,
– 365 days of the year
This is an impossible task…
Current estimates are
this has grown to 1
article every 1.29
minutes in 2009!
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The Science of Medicine
Of what we do in routine medical practice, what proportion
has a basis (for best practice) in published scientific
research?
• Williamson (1979): < 10%
• OTA (1985): 10- 20%
• OMAR (1990): < 20%
The rest is opinion
• That doesn't mean that it's wrong – much of it probably
works
• But, it may not represent the best patient care
21
Williamson et al. Medical Practice Information Demonstration Project: Final Report. Office of the Asst. Secretary of Health,
DHEW, Contract #282-77-0068GS. Baltimore, MD: Policy Research Inc., 1979).
Institute of Medicine. Assessing Medical Technologies. Washington, D.C.: National Academy Press, 1985:5.
Ferguson JH. Forward. Research on the delivery of medical care using hospital firms. Proceedings of a workshop. April 30
and May 1, 1990, Bethesda, Maryland. Med Care 1991; 29(7 Suppl):JS1-2 (July).
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Variation in Expert Opinion
22
Experts’ estimates of the chance of a
spontaneous rupture of a silicone breast implant
0% 0.2% 0.5% 1% 1% 1% 1.5% 1.5% 2% 3%
3% 4% 5% 5% 5% 5% 5% 5% 5% 6% 6%
6% 8% 10% 10% 10% 10% 13% 13% 15%
15% 18% 20% 20% 20% 25% 25% 25% 30%
30% 40% 50% 50% 50% 62% 70% 73% 75%
75% 75% 75% 80% 80% 80% 80% 80% 80%
100%
Courtesy of David Eddy, MD, PhD
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Variation in Expert Opinion
23
Eddy. A Manual for Assessing Health Practices & Designing Practice Policies: The Explicit Approach. Philadelphia, PA:
The American College of Physicians, 1992; pg. 14.
The practitioners, all experts in the field, were then asked to write
down their beliefs about the probability of the outcome ... "that would
largely determine his or her belief about the proper use of the health
practice, and the consequent recommendation to a patient."
0 20 40 60 80 100
“
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You can find a physician who honestly believes
(and will testify in court to) anything you want.
- David Eddy, MD“
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Complexity Science
• Complexity science is the study of complex adaptive
systems, the relationships within them, how they are
sustained, how they self-organize, and how outcomes
result.
• Complexity science is made up of a variety of theories
and concepts.
25
• It is a multidisciplinary field involving
many different disciplines including
biologists, mathematicians,
anthropologists, economists,
sociologists, management theorists,
computer scientists, and many others.
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Viewing Healthcare as a Complex
Adaptive System
• Complexity science is the study of complex adaptive
systems, the relationships within them, how they are
sustained, how they self-organize, and how outcomes
result.
• Complexity science is made up of a variety of theories
and concepts.
• It is a multidisciplinary field involving many different disciplines
including biologists, mathematicians, anthropologists,
economists, sociologists, management theorists, computer
scientists, and many others.
26
In complex situations,
A + B ≠ C
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Characteristics of Complex
Adaptive Systems
Comparison of Organizational System Characteristics
Complex Adaptive Systems Traditional Systems
Are living organisms Are machines
Are unpredictable Are controlling and predictable
Are adaptive, flexible, creative Are rigid, self-preserving
Tap creativity Control behavior
Embrace complexity Find comfort in control
Evolve continuously Recycle
27
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Comparison of Leadership Styles
Comparison of Leadership Styles
Complex Adaptive Systems Traditional Systems
Are open, responsive, catalytic Are controlling, mechanistic
Offer alternatives Repeat the past
Are collaborative, co-participating Are in charge
Are connected Are autonomous
Are adaptable Are self-preserving
Acknowledge paradoxes Resist change, bury contradictions
Are engaged, continuously emerging Are disengaged, nothing ever changes
Value persons Value position, structures
Are shifting as processes unfold Hold formal position
Prune rules Set rules
Help others Make decisions
Are listeners Are knowers
28
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The Need for a Better System
29
Every system is perfectly designed to produce the
results that it does achieve.
– Paul Bataldan, MD
Insanity is doing the same thing over and over
again and expecting a different result.
– Albert Einstein
“
“
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In Summary…
• The levels of quality and harm in modern clinical care are not acceptable
• Inadequate levels of safety and inconsistent quality result largely from
clinical uncertainty
• Clinical uncertainty results from an increasingly complex healthcare
environment, a rapidly expanding healthcare knowledge base, a lack of
valid clinical knowledge for much of what we do, and an over reliance on
expert opinion
• Extensive research has made it very clear that inappropriate variation
harms patients, leads to poor quality, and results in high levels of waste
• Healthcare can be viewed as a complex adaptive system, and going
forward complexity science will play an increasingly large role in the
design of new care delivery systems and new care models
30
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Healthcare: The Way It Should Be
Section One – Forces Driving
Transformation
• Chapter One – Forces Defining and
Shaping the Current State of U.S.
Healthcare
• Chapter Two – Present and Future
Challenges Facing U.S. Healthcare
Section Two – Laying the Foundation for
Improvement and Sustainable Change
• What will it take to successfully ride the
transformational wave?
Section Three – Looking into the Future
• What will it take to successfully ride the
transformational wave?
31
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For Information Contact:
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Questions, discussion, etc…
32
The Top Trends that Matter in 2014
By Bobbi Brown, Vice President; Dan Burton, CEO; and Paul Horstmeier, Senior Vice President of
Health Catalyst
March 19th | 1-2 PM ET
Transforming Healthcare: Data Alone is Not Sufficient
By John Kenagy, MD, Physician Executive
March 27th | 1-2 PM ET
Upcoming Webinars – register at www.healthcatalyst.com
Editor's Notes Beyond the inpatient world, a large number of studies have demonstrated that the patient safety problem extends outside the hospital into the outpatient arena.
In fact, the patient safety issues in the outpatient world are probably an even bigger problem. It is just harder to get good data in the outpatient space.
Many instances of medical harm in the outpatient world elude detection.
This slide summarizes just a few of the many studies that have appeared in recent years looking at patient safety in the outpatient setting.
There are many more studies beyond these few.
The second seminal report from the Institute of Medicine was the 2001 report entitled “Crossing the Quality Chasm: A New Health System for the 21st Century.”
The report clearly documented that the U.S. health care delivery system does not provide consistent, high-quality medical care to all people.
Americans should be able to count on receiving care that meets their needs and care that is based on the best scientific knowledge—yet there is strong evidence that this frequently is not the case.
Health care harms patients too frequently and routinely fails to deliver its potential benefits. Indeed, as the report suggested, “between the health care that we now have and the health care that we could have lies not just a gap, but a chasm.” Hence the title of the report.
A number of factors have combined to create this chasm. Medical science and technology have advanced at an unprecedented rate during the past half-century.
In tandem with exploding knowledge has come growing complexity of health care, which today is characterized by more to know, more to do, more to manage, more to watch, and more people involved than ever before.
Faced with such rapid changes, the nation’s health care delivery system has fallen far short in its ability to translate knowledge into practice and to apply new technology safely and appropriately.
And if the system cannot consistently deliver today’s science and technology, it is even less prepared to respond to the extraordinary advances that surely will emerge during the coming decades.
The Crossing the Chasm report makes an urgent call for fundamental change to close the quality gap, recommends a redesign of the American health care system, and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others.
The next factor that feeds clinical uncertainty – is the lack of valid clinical knowledge for much of what we do. Or, stated another way, inadequate evidence for much of what we do.
There have been three published studies looking at the percentage of clinical care that is based on published scientific research.
These studies have concluded that only between 10% and 20% of routine medical practice has a basis in scientific research.
Thus, much of what we do in routine clinical practice is based on tradition or opinion.
That doesn&apos;t necessarily mean it is wrong as much of it has likely been shown to work over time.
But it may not represent the best patient care. We just do not know because we have no “solid rock” evidence.
Thus, there can be legitimate reasons to disagree and it is not surprising that we will see variation in clinical practice.
All of this suggests that clinicians and healthcare delivery organizations should use their own data to determine the efficacy of clinical practice and to determine how to improve it over time.
This implies the need to create a data-driven continuous learning environment.
I will discuss this topic in great detail in Section Two of my book and in a future webinar.