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Managing What Matters:
Overcoming Obstacles to Effective
Healthcare
Treating the Whole Person: Optimizing Wellness
RSDSA.org Annual Conference
https://www.youtube.com/watch?v=Dl79b73h3l0
Opryland Hotel Nashville, Tennessee USA
8:40-9:35 a.m.
Terri A. Lewis, PhD, NCC
Obstacles to Care
1. Characteristics of systems of care
2. Human factors common to consumers &
clinicians
3. Cognitive errors, design factors, & data
4. Expectations for outcomes
Humans Live in Complex Adaptive Systems (CAS)
• All the parts of the system are
interdependent
• Actions have consequences at
multiple levels
• Optimizing one part can lead to
poor overall system performance
• Systems are driven to self organize
• Organizational structures drive
decision behavior+/-
• Mental models influence actions
“Coarse Damping”
The elimination of unwanted variations
and fluctuations in system behaviors to
maintain equilibrium or homeostasis; the
basis for development of measures
Ex.
• Chaos - a form of coarse damping in
‘time,’ (synchronicity, process)
• Complexity – a form of coarse
damping of ‘structures,’ (entropy,
difference)
Thinking Fast & Slow
Heuristics are simple, efficient
rules (filters) which people often
use to form judgments and make
decisions.
They are mental shortcuts that
usually involve focusing on one
aspect of a complex problem and
ignoring others.
We believe they are generally
true, even if they are not always
true or true in every case.
Self Organize to
Reduce Complexity
• Surgeon General reports
• Public service advertising
• Media campaigns
• Pain management tools
• Physician intervention
• Addiction prevention
• Community coalitions
• Dosing prohibitions
• Access restrictions
• Laws & regulations
• Behavioral taxes
• Insurance limitations
• Epidemiological models
• System models, networks,
data
• Federal campaigns
Human Factors & Mental Models
• Cognitive distortions ways that our mind convinces us of something
that isn't really true. These inaccurate thoughts are usually used to
reinforce negative thinking or emotions and sound rational and
accurate, but really only serve to reinforce the negative.
• Logical fallacy is an error of inductive or deductive reasoning that
stems from an error in a logical argument
• Cognitive bias is rooted in thought processing errors often arising
from mental mistakes that cause us to think in certain ways that can
lead to systematic deviations from a standard of rationality or good
judgment.
Cognitive Errors
System1 - Survival
• Pattern recognition
• Overconfidence bias
• Halo effect
• False consensus effect
• Group think (bandwagon)
• Self serving attribution bias
• Sunk cost fallacy
• Cognitive dissonance reduction
System 2-Rational
• Confirmation bias
• Authority bias
• Small numbers fallacy
• Ingroup bias
• Recall bias
• Anchoring bias
• Availability bias
Parsimony: A scientific and philosophic heuristic that is interpreted as requiring
that, if there are a number of explanations for an observed phenomena, the
simplest explanation is preferred. “When you hear hoofbeats, think horses not
zebras.”
Merriam-Webster
@MerriamWebster
Biases
1. (in a measurement process) systematic error.
2. any influence or action at any stage of a study
that systematically distorts the findings.
3. (of a statistical estimator) the difference
between the expected value of the estimator and
the true parameter value.
Ex.
• Anchor bias
• Confirmation bias
• Framing bias
Confirmation bias. The tendency to
search for, interpret, focus on and
remember information in a way that
confirms one's preconceptions.
Jeff Sessions on Marijuana: Drug is
'Only Slightly Less Awful' than Heroin
Anchor bias. The tendency to rely too heavily, or "anchor," on one trait or piece of
information when making decisions.
 Cost
Source
Availability
Safety
Framing bias. The tendency to react to judge or interpret the exact same
information in distinctly different ways, depending on how it is presented to us or
‘framed.’
Reducing opiate
prescribing saves lives.
16,000 people will die
annually of opiate
overdoses.
“A 33% change of saving 16,000 people, versus a
66% possibility of saving no one”
“A 33% chance that no people will die, versus a
66% probability that all 16,000 persons will die.”
Example: Addiction, overdoses can be reduced by reducing the number of prescriptions for opioids and the
MED/dose for persons with chronic pain
Bandwagon effect. A psychological phenomenon in which people do something
primarily because other people are doing it, regardless of their own beliefs, which
they may ignore or override; leads to early adoption of systematic error, whereby the
rate of uptake of beliefs, ideas, fads and trends increases the more that they have
already been adopted by others; ‘early adopters’
GUIDELINES
Population Health data is interpreted in accordance
to statistical means, e.g., the Bell Curve
“Regression toward
the mean”-
The tendency of
data to move to the
middle or the mean
Management of
“dose”
T2 =
X
Normalization of Deviance: System2 System1
• Institutionalization exposes newcomers to deviant behaviors, often performed by authority
figures, and explains those behaviors as organizationally normative using the wrong metrics e.g.
guidelines.
• Socialization, which is often mediated by a system of rewards and punishments, aims at
determining whether the newcomer will or will not join the group by adopting the group’s deviant
behaviors, e.g. payment systems, DEA licenses.
• Rationalization enables system operators to convince themselves that their deviances are not
only legitimate, but acceptable and perhaps even necessary, e.g. laws, regulations.
• Institutionalization, socialization, and rationalization work in a mutually reinforcing manner to
dissolve anxiety by automatically triggering heuristics and biases as tools for decision making
John Banja, 2011
Equilibrium in the CAS
is NOT the same as the Mean or Median
What does a good outcome
look like to you?
Managing our Mental
Models
Subject to pattern and small numbers bias
Occam’s razor,
parsimony, framing bias
Acute pain
Chronic pain
Reframing the System of Care for Consumers
2014 RC14008 Theories of Counseling 24
Community
Disability
Impairment
Person
Reframing Your System as a Learning System
Policy, Regulation, Resource
allocation, Social systems,
Interaction, Participation &
Exchange
Impact of disability on
adaptation to community
functions and demands
Influence of Disease or
disorder on functioning
Community Context
Environmental factors
Evaluative, Formative, Summative
Classification of Handicap
Participation restrictions
Environmental (Difference)
Classification of Disability
Activity limitations Personal
(Ordinal, Ratio)
Classification of Disease
Impairment (Descriptive, Nominal)
Impact
Effect
Outcomes
Processes
Results
Activity
Inputs
Informs
WHO ICF Model
Patient reports
Collaboration
Function
ICD-10
Identification
Education
Priorities
Expectations
Choice
Quality of life
Social Indicators of
Health
Resource management
System Obstacle 1.
Design your system of care for learning
1. Grasp the role of complexity and simplification of time, process, &
structures
2. Look for problems associated with human factors
• Continuous improvement practices get to error analysis & root cause
• Conflicting expectations creates a vicious cycle of low expectations
• Look for stopping factors
3. Look for errors of design (reframe)
• Are we doing the right thing?
• Are we doing things right?
• Measures are improperly constructed?
4. Look for errors of expectancy
• Who are the stakeholders? Are expectations aligned?
• Address the vicious cycle of low expectations
System Obstacle 2.
Cognitive errors are shared errors
• Build in adaptive balancing mechanisms – allow for
multiple paths to success
• Physicians & consumers are partners in shared outcomes.
• Build in regular error analysis and procedures to test for
cognitive errors
• Learn how measurement systems work in a system and
design your data collection accordingly
• Measure only what matters across the influences of time
and structures
• Test your theory of treatment by tracing it through the
patient experience and into the community system that
you share
• Satisfaction is measured in impact, not necessarily the
absence of pain.
System Obstacle 3.
Design Errors Impair Innovation, Agility, Improvement, Learning
• Manage your system, don’t let
it manage you
• Assist the individual and their
care partners to manage their
illness within the conditions of
care support and community
• Work to impact, not
guidelines, doses, or the
calendar
• Take responsibility for
collaborating in learning so
that you can be an effective
team members for each other
System Obstacle 4.
Re-imagine Expectations to Fit the Community Model
• Promote the use of interventions
that draw on Community-based
participatory research (CBPR)
• Link interventions to sustainable
health promotion activities and
outcomes
• Use wide systems approaches that
incorporate outlier subgroups
• Encourage consumers to
collaborate with community
partners and networks
• Obtain regular inputs from Family
advisory panels
Complex systems are dynamic and health metrics
incorporate social determinants of health
Chronic pain is everybody’s business. It’s not
somebody else’s problem.
https://youtu.be/Dl79b73h3l0
I Congratulate RSDS.org !!
• Terri Lewis, PhD, NCC
• Rehabilitation & Mental Health
• Silver Point Tennessee
• tal7291@yahoo.com
• @tal7291 terri.a.lewis
• National Changhua University of
Education, Taiwan ROC
• Southern Illinois University Carbondale,
Illinois USA

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Managing what matters: Overcoming Obstacles to effective healthcare

  • 1. Managing What Matters: Overcoming Obstacles to Effective Healthcare Treating the Whole Person: Optimizing Wellness RSDSA.org Annual Conference https://www.youtube.com/watch?v=Dl79b73h3l0 Opryland Hotel Nashville, Tennessee USA 8:40-9:35 a.m. Terri A. Lewis, PhD, NCC
  • 2. Obstacles to Care 1. Characteristics of systems of care 2. Human factors common to consumers & clinicians 3. Cognitive errors, design factors, & data 4. Expectations for outcomes
  • 3. Humans Live in Complex Adaptive Systems (CAS) • All the parts of the system are interdependent • Actions have consequences at multiple levels • Optimizing one part can lead to poor overall system performance • Systems are driven to self organize • Organizational structures drive decision behavior+/- • Mental models influence actions
  • 4. “Coarse Damping” The elimination of unwanted variations and fluctuations in system behaviors to maintain equilibrium or homeostasis; the basis for development of measures Ex. • Chaos - a form of coarse damping in ‘time,’ (synchronicity, process) • Complexity – a form of coarse damping of ‘structures,’ (entropy, difference)
  • 5.
  • 6. Thinking Fast & Slow Heuristics are simple, efficient rules (filters) which people often use to form judgments and make decisions. They are mental shortcuts that usually involve focusing on one aspect of a complex problem and ignoring others. We believe they are generally true, even if they are not always true or true in every case.
  • 7. Self Organize to Reduce Complexity • Surgeon General reports • Public service advertising • Media campaigns • Pain management tools • Physician intervention • Addiction prevention • Community coalitions • Dosing prohibitions • Access restrictions • Laws & regulations • Behavioral taxes • Insurance limitations • Epidemiological models • System models, networks, data • Federal campaigns
  • 8. Human Factors & Mental Models • Cognitive distortions ways that our mind convinces us of something that isn't really true. These inaccurate thoughts are usually used to reinforce negative thinking or emotions and sound rational and accurate, but really only serve to reinforce the negative. • Logical fallacy is an error of inductive or deductive reasoning that stems from an error in a logical argument • Cognitive bias is rooted in thought processing errors often arising from mental mistakes that cause us to think in certain ways that can lead to systematic deviations from a standard of rationality or good judgment.
  • 9. Cognitive Errors System1 - Survival • Pattern recognition • Overconfidence bias • Halo effect • False consensus effect • Group think (bandwagon) • Self serving attribution bias • Sunk cost fallacy • Cognitive dissonance reduction System 2-Rational • Confirmation bias • Authority bias • Small numbers fallacy • Ingroup bias • Recall bias • Anchoring bias • Availability bias
  • 10. Parsimony: A scientific and philosophic heuristic that is interpreted as requiring that, if there are a number of explanations for an observed phenomena, the simplest explanation is preferred. “When you hear hoofbeats, think horses not zebras.” Merriam-Webster @MerriamWebster
  • 11. Biases 1. (in a measurement process) systematic error. 2. any influence or action at any stage of a study that systematically distorts the findings. 3. (of a statistical estimator) the difference between the expected value of the estimator and the true parameter value. Ex. • Anchor bias • Confirmation bias • Framing bias
  • 12. Confirmation bias. The tendency to search for, interpret, focus on and remember information in a way that confirms one's preconceptions. Jeff Sessions on Marijuana: Drug is 'Only Slightly Less Awful' than Heroin
  • 13. Anchor bias. The tendency to rely too heavily, or "anchor," on one trait or piece of information when making decisions.  Cost Source Availability Safety
  • 14. Framing bias. The tendency to react to judge or interpret the exact same information in distinctly different ways, depending on how it is presented to us or ‘framed.’ Reducing opiate prescribing saves lives. 16,000 people will die annually of opiate overdoses. “A 33% change of saving 16,000 people, versus a 66% possibility of saving no one” “A 33% chance that no people will die, versus a 66% probability that all 16,000 persons will die.” Example: Addiction, overdoses can be reduced by reducing the number of prescriptions for opioids and the MED/dose for persons with chronic pain
  • 15. Bandwagon effect. A psychological phenomenon in which people do something primarily because other people are doing it, regardless of their own beliefs, which they may ignore or override; leads to early adoption of systematic error, whereby the rate of uptake of beliefs, ideas, fads and trends increases the more that they have already been adopted by others; ‘early adopters’ GUIDELINES
  • 16. Population Health data is interpreted in accordance to statistical means, e.g., the Bell Curve “Regression toward the mean”- The tendency of data to move to the middle or the mean Management of “dose”
  • 18. Normalization of Deviance: System2 System1 • Institutionalization exposes newcomers to deviant behaviors, often performed by authority figures, and explains those behaviors as organizationally normative using the wrong metrics e.g. guidelines. • Socialization, which is often mediated by a system of rewards and punishments, aims at determining whether the newcomer will or will not join the group by adopting the group’s deviant behaviors, e.g. payment systems, DEA licenses. • Rationalization enables system operators to convince themselves that their deviances are not only legitimate, but acceptable and perhaps even necessary, e.g. laws, regulations. • Institutionalization, socialization, and rationalization work in a mutually reinforcing manner to dissolve anxiety by automatically triggering heuristics and biases as tools for decision making John Banja, 2011
  • 19. Equilibrium in the CAS is NOT the same as the Mean or Median
  • 20.
  • 21. What does a good outcome look like to you?
  • 22. Managing our Mental Models Subject to pattern and small numbers bias Occam’s razor, parsimony, framing bias Acute pain Chronic pain
  • 23.
  • 24. Reframing the System of Care for Consumers 2014 RC14008 Theories of Counseling 24 Community Disability Impairment Person
  • 25. Reframing Your System as a Learning System Policy, Regulation, Resource allocation, Social systems, Interaction, Participation & Exchange Impact of disability on adaptation to community functions and demands Influence of Disease or disorder on functioning Community Context Environmental factors Evaluative, Formative, Summative Classification of Handicap Participation restrictions Environmental (Difference) Classification of Disability Activity limitations Personal (Ordinal, Ratio) Classification of Disease Impairment (Descriptive, Nominal) Impact Effect Outcomes Processes Results Activity Inputs Informs WHO ICF Model Patient reports Collaboration Function ICD-10 Identification Education Priorities Expectations Choice Quality of life Social Indicators of Health Resource management
  • 26. System Obstacle 1. Design your system of care for learning 1. Grasp the role of complexity and simplification of time, process, & structures 2. Look for problems associated with human factors • Continuous improvement practices get to error analysis & root cause • Conflicting expectations creates a vicious cycle of low expectations • Look for stopping factors 3. Look for errors of design (reframe) • Are we doing the right thing? • Are we doing things right? • Measures are improperly constructed? 4. Look for errors of expectancy • Who are the stakeholders? Are expectations aligned? • Address the vicious cycle of low expectations
  • 27. System Obstacle 2. Cognitive errors are shared errors • Build in adaptive balancing mechanisms – allow for multiple paths to success • Physicians & consumers are partners in shared outcomes. • Build in regular error analysis and procedures to test for cognitive errors • Learn how measurement systems work in a system and design your data collection accordingly • Measure only what matters across the influences of time and structures • Test your theory of treatment by tracing it through the patient experience and into the community system that you share • Satisfaction is measured in impact, not necessarily the absence of pain.
  • 28. System Obstacle 3. Design Errors Impair Innovation, Agility, Improvement, Learning • Manage your system, don’t let it manage you • Assist the individual and their care partners to manage their illness within the conditions of care support and community • Work to impact, not guidelines, doses, or the calendar • Take responsibility for collaborating in learning so that you can be an effective team members for each other
  • 29. System Obstacle 4. Re-imagine Expectations to Fit the Community Model • Promote the use of interventions that draw on Community-based participatory research (CBPR) • Link interventions to sustainable health promotion activities and outcomes • Use wide systems approaches that incorporate outlier subgroups • Encourage consumers to collaborate with community partners and networks • Obtain regular inputs from Family advisory panels
  • 30. Complex systems are dynamic and health metrics incorporate social determinants of health
  • 31. Chronic pain is everybody’s business. It’s not somebody else’s problem.
  • 33. I Congratulate RSDS.org !! • Terri Lewis, PhD, NCC • Rehabilitation & Mental Health • Silver Point Tennessee • tal7291@yahoo.com • @tal7291 terri.a.lewis • National Changhua University of Education, Taiwan ROC • Southern Illinois University Carbondale, Illinois USA