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Quality ImprovementQuality Improvement in the Hospital in the Hospital
Jason Stein, MDJason Stein, MDEmory Reynolds Faculty ScholarEmory Reynolds Faculty ScholarEmory Hospital Medicine ServiceEmory Hospital Medicine Service
Highest Quality Care for the Hospitalized ElderlyHighest Quality Care for the Hospitalized Elderly
Quality Improvement in the Hospital:Quality Improvement in the Hospital:Goals for this PrimerGoals for this Primer
Understand fundamental concepts in Understand fundamental concepts in quality improvement quality improvement
Identify the environment and key steps for Identify the environment and key steps for a successful quality improvement project a successful quality improvement project
Become familiar with several quality Become familiar with several quality improvement tools and their use improvement tools and their use
Emory Reynolds Program
Emory Hospital Medicine Service
Highest Quality Hospital CareHighest Quality Hospital Care
ProcessesProcesses OutcomesOutcomes
What do you care more about?
Optimal ProcessOptimal Process::
identifyidentify correctable correctable problem problem
identify identify preventable preventable problem problem
Optimal OutcomeOptimal Outcome::
correct correctable correct correctable problemproblem
prevent preventable prevent preventable problemproblem
Highest Quality Hospital CareHighest Quality Hospital CareHighest Quality Hospital CareHighest Quality Hospital Care
Highest Quality Hospital CareHighest Quality Hospital Care
ProcessesProcesses PhysiciansPhysicians
Is one more effective?
vs
Highest Quality Hospital CareHighest Quality Hospital Care
ProcessesProcesses PhysiciansPhysicians
Is one more reliable?
vs
Highest Quality Hospital CareHighest Quality Hospital Care
ProcessesProcesses PhysiciansPhysicians
If your hospital lacks a specific process to drive a specific outcome, do
individual physicians fill the gap?
vs
Quality Improvement: Quality Improvement: Bridging the Implementation GapBridging the Implementation Gap
Patient care
Pro
gres
s
Time
How good is American healthcare?
Quality Improvement: Quality Improvement: Bridging the Implementation GapBridging the Implementation Gap
Patient care
Pro
gres
s
Time
We get it right 54% of the time.-Brent James, MD, MStat Executive Director, Intermountain Health Care
Quality Improvement: Quality Improvement: Bridging the Implementation GapBridging the Implementation Gap
Implementation Gap
Scientific understanding
Patient care
Pro
gres
s
Time
Hospitalists and Quality ImprovementHospitalists and Quality Improvement
Complex process problems need multidisciplinary Complex process problems need multidisciplinary solutionssolutions
We are at the frontlines seeing system failures, process We are at the frontlines seeing system failures, process errors, and performance gaps with our own eyes -- which errors, and performance gaps with our own eyes -- which is our competitive advantageis our competitive advantage
Improved quality delivers:Improved quality delivers:– better patient care…better patient care…– at lower costs…at lower costs…– with potentially higher reimbursements (pay-for-performance)…with potentially higher reimbursements (pay-for-performance)…And it can make our jobs more interesting, fun, and rewarding.And it can make our jobs more interesting, fun, and rewarding.
Section I:Section I:
Quality Improvement and ChangeQuality Improvement and Change
in the Hospital Atmospherein the Hospital Atmosphere
Definition of Definition of QualityQuality
Meeting the needs and exceeding the Meeting the needs and exceeding the expectations of those we serveexpectations of those we serve
Delivering all and only the care that the patient Delivering all and only the care that the patient and family needsand family needs
““Definition” of Definition” of ImprovementImprovement
It is NOT…It is NOT… yelling at people to work harder, faster, or saferyelling at people to work harder, faster, or safer creating order sets or protocols and then failing to creating order sets or protocols and then failing to
monitor their use or effectmonitor their use or effect traditional Quality Assurancetraditional Quality Assurance research (but they can co-exist nicely)research (but they can co-exist nicely)
Principle #1:Principle #1: Improvement Requires ChangeImprovement Requires Change
Every system is perfectly designed to achieve Every system is perfectly designed to achieve exactly the results it getsexactly the results it gets
To improve the system, change the system…To improve the system, change the system…
Principle #2:Principle #2:
Less is MoreLess is More
You cannot destroy productivityYou cannot destroy productivity
When changing the system, keep it simpleWhen changing the system, keep it simple
Illustrating Principle #2: Less Is MoreIllustrating Principle #2: Less Is MoreProbability of Performing PerfectlyProbability of Performing Perfectly
No.No.
ElementElementss
Probability of Success, Each ElementProbability of Success, Each Element
0.950.95 0.990.99 0.9990.999 0.999990.9999999
11
2525
5050
100100
0.950.95
0.280.28
0.080.08
0.0060.006
0.990.99
0.780.78
0.610.61
0.370.37
0.9990.999
0.980.98
0.950.95
0.900.90
0.999990.9999999
0.9980.998
0.9950.995
0.990.99
Understanding Change in the Hospital Understanding Change in the Hospital AtmosphereAtmosphere
ChangeChange = not just = not just doing doing something different, but something different, but engineeringengineering something different something different
at least one step in at least one processat least one step in at least one process
Hospital AtmosphereHospital Atmosphere = hospitals tend to be viscous, = hospitals tend to be viscous, complex systems with default levels of performancecomplex systems with default levels of performance
change engineered to improve performance can be a foreign concept - change engineered to improve performance can be a foreign concept - or even overtly resisted or even overtly resisted
Understanding Change in the Hospital Understanding Change in the Hospital
AtmosphereAtmosphere
A Common Strategy Which Commonly Fails:A Common Strategy Which Commonly Fails: Experts design a comprehensive protocol using Experts design a comprehensive protocol using
EBM over several monthsEBM over several months Protocol is presented as a finished, stand alone Protocol is presented as a finished, stand alone
productproduct Customization of protocol is discouragedCustomization of protocol is discouraged Compliance depends on vigilance and hard workCompliance depends on vigilance and hard work Monitoring for success or failure is the exception Monitoring for success or failure is the exception
to the rule (with failures coming to light after to the rule (with failures coming to light after patients are harmed)patients are harmed)
Flawed implementation leads to repetitive efforts Flawed implementation leads to repetitive efforts down the roaddown the road
Understanding Change in the Hospital Understanding Change in the Hospital
AtmosphereAtmosphere
High-Reliability Strategies Commonly Succeed:High-Reliability Strategies Commonly Succeed: Build a “decision aide” or reminder into the systemBuild a “decision aide” or reminder into the system Make the desired action the default action (not doing the Make the desired action the default action (not doing the
desired action requires opting out)desired action requires opting out) Build redundancy into responsibilities (e.g. if one person Build redundancy into responsibilities (e.g. if one person
in the chain overlooks it, someone else will catch it)in the chain overlooks it, someone else will catch it) Schedule steps to occur at known intervals or events Schedule steps to occur at known intervals or events Standardize a process so that deviation feels weirdStandardize a process so that deviation feels weird Take advantage of work habits or reliable patterns of Take advantage of work habits or reliable patterns of
behaviorbehavior
Build at least one - if not more - of these high-reliability Build at least one - if not more - of these high-reliability strategies into any changed process.strategies into any changed process.
Understanding Change in the Hospital Understanding Change in the Hospital AtmosphereAtmosphere
ChangeChange engineered to drive improvement depends on engineered to drive improvement depends on…… Workplace CultureWorkplace Culture: personnel must be receptive to change: personnel must be receptive to change AwarenessAwareness: administrative and medical staffs must care : administrative and medical staffs must care
about performance and support its improvement through about performance and support its improvement through changechange
EvidenceEvidence: local experts must identify which research to : local experts must identify which research to translate into practice translate into practice
ExperienceExperience: a skilled team must choose, implement, and : a skilled team must choose, implement, and follow up changes to ensure:follow up changes to ensure:
1) improvement efforts are ongoing and yielding better 1) improvement efforts are ongoing and yielding better performanceperformance
2) productivity is preserved2) productivity is preserved
An Atmosphere for ChangeAn Atmosphere for Change
AAWARENESSWARENESS
OOFF THETHE L LOCAL OCAL PPERFORMANCEERFORMANCE G GAPAP PatientPatient
Medical StaffMedical Staff
Administrative SupportAdministrative Support
EEXPERIENCEXPERIENCE
WWITHITH SSIMILAR IMILAR IIMPROVEMENTMPROVEMENT EEFFORTSFFORTS
Hospitalist Quality OfficerHospitalist Quality Officer
Multidisciplinary Team MembersMultidisciplinary Team Members
Success Stories From Other Success Stories From Other InstitutionsInstitutions
EEVIDENCEVIDENCE
TTOO T TRANSLATERANSLATE I INTONTO P PRACTICERACTICE
““Bedside” TeachingBedside” Teaching
Didactic Teaching SessionsDidactic Teaching Sessions
Local Expertise in Disease Local Expertise in Disease LiteratureLiterature
WWORKPLACE ORKPLACE CCULTUREULTURE
RREADYEADY T TOO A ACCEPTCCEPT C CHANGEHANGE
Task LoadTask Load
Culture of ImprovementCulture of Improvement
Culture of Negative ExpectationsCulture of Negative Expectations
An Atmosphere for ChangeAn Atmosphere for Change
AAWARENESSWARENESS
OOFF THETHE L LOCAL OCAL PPERFORMANCEERFORMANCE G GAPAP PatientPatient
Medical StaffMedical Staff
Hospital AdministrationHospital Administration
PatientPatientAt mercy and increasingly aware of At mercy and increasingly aware of
underperforming underperforming status quostatus quo
Now can access a new resource Now can access a new resource promoting transparency in hospital promoting transparency in hospital performance: performance: www.hospitalcompare.hhs.govwww.hospitalcompare.hhs.gov
Hospital AdministrationHospital AdministrationUnderstands sUnderstands status quotatus quo is unacceptable is unacceptable
(IOM, Leapfrog, NQF, JCAHO) (IOM, Leapfrog, NQF, JCAHO)
Sees fiscal health tied to performance Sees fiscal health tied to performance against national benchmarks, ability to against national benchmarks, ability to reduce costs & LOS, improve margins, reduce costs & LOS, improve margins, and competitive reputation in the and competitive reputation in the communitycommunity
Medical StaffMedical StaffHas professional responsibility to improveHas professional responsibility to improve
Knows all too well where system failsKnows all too well where system fails
Recognizes that professional livelihood Recognizes that professional livelihood will depend on paying attention to will depend on paying attention to outcomes: outcomes:
Pay-for-Performance Pay-for-Performance
An Atmosphere for ChangeAn Atmosphere for Change
EEXPERIENCEXPERIENCE
WWITHITH SSIMILAR IMILAR IIMPROVEMENTMPROVEMENT EEFFORTSFFORTS
Hospitalist Team FacilitatorHospitalist Team Facilitator
Multidisciplinary Team MembersMultidisciplinary Team Members
Successful Strategies of OthersSuccessful Strategies of Others
Hospitalist Team FacilitatorHospitalist Team Facilitator
Technical expert on Quality Technical expert on Quality Improvement theory and tools Improvement theory and tools
Owns the team process, enforces Owns the team process, enforces ground rules, helps judge feasibility ground rules, helps judge feasibility
Teaches the team while doingTeaches the team while doing
Multidisciplinary Team MembersMultidisciplinary Team Members
Chosen for hands-on, fundamental Chosen for hands-on, fundamental knowledge of key processesknowledge of key processes
Inclusive, open, & consensus seekingInclusive, open, & consensus seeking
Impact not only the change(s) but the Impact not only the change(s) but the implementationimplementation
Successful Strategies of OthersSuccessful Strategies of Others
Learn from mistakes of others Learn from mistakes of others
Adapt successes of others (tools and Adapt successes of others (tools and methods): steal shamelesslymethods): steal shamelessly
Get specific advice in ’Ask the Expert’ Get specific advice in ’Ask the Expert’ forums or other consortiums that forums or other consortiums that collect and share experience collect and share experience
An Atmosphere for ChangeAn Atmosphere for Change
EEVIDENCEVIDENCE
TTOO T TRANSLATERANSLATE I INTONTO P PRACTICERACTICE
““Bedside” TeachingBedside” Teaching
Didactic Teaching SessionsDidactic Teaching Sessions
Local Expertise in Disease LiteratureLocal Expertise in Disease Literature
““Bedside” TeachingBedside” Teaching
To an audience of residents or students To an audience of residents or students
To build cadre of “experts” (and to help To build cadre of “experts” (and to help meet ACGME requirements)meet ACGME requirements)
Download teaching pearls from SHM Download teaching pearls from SHM resource roomsresource rooms
Local Expertise in Disease LiteratureLocal Expertise in Disease Literature
Decide what changes to make based on Decide what changes to make based on the level of evidencethe level of evidence
Establishes team’s credibilityEstablishes team’s credibility
Extends team’s authority when local sub-Extends team’s authority when local sub-specialists or experts participate in specialists or experts participate in selecting and implementing changeselecting and implementing change
Didactic Teaching SessionsDidactic Teaching Sessions
To an audience of peers, administrators, To an audience of peers, administrators, nurses, or support staff nurses, or support staff
To boost awareness, knowledge, enthusiasm, To boost awareness, knowledge, enthusiasm, and support and support
Download slide sets from SHM resource Download slide sets from SHM resource rooms rooms
An Atmosphere for ChangeAn Atmosphere for Change
WWORKPLACE ORKPLACE CCULTUREULTURE
RREADYEADY T TOO A ACCEPTCCEPT C CHANGEHANGE
Task LoadTask Load
Culture of Improvement vs.Culture of Improvement vs.
Culture of Negative ExpectationsCulture of Negative Expectations
Task LoadTask Load
Be sensitive about piling new tasks onto Be sensitive about piling new tasks onto over-tasked personnelover-tasked personnel
Use the input of personnel who will be Use the input of personnel who will be responsibile for implementingresponsibile for implementing
Make it easy and desirable to do the right Make it easy and desirable to do the right thingthing
Culture of Negative ExpectationsCulture of Negative Expectations
Overcome it, one person and one project at a time Overcome it, one person and one project at a time
Attach pride to balance between performance Attach pride to balance between performance successes and failuressuccesses and failures
Consider using a ‘cultural survey’ to identify Consider using a ‘cultural survey’ to identify problems and address them through proper problems and address them through proper channelschannels
Culture of ImprovementCulture of Improvement
Extend it, one person and one project at a timeExtend it, one person and one project at a time
Advertise successesAdvertise successes
Use or adapt this online ‘cultural survey:’ Use or adapt this online ‘cultural survey:’ http://www.patientsafetygroup.org/program/step1c.cfmhttp://www.patientsafetygroup.org/program/step1c.cfm
Section II:Section II:
The Multidisciplinary TeamThe Multidisciplinary Team
Defining an Approach to ChangeDefining an Approach to Change
The Driving Force for ChangeThe Driving Force for Change
TTHEHE MMULTIDISCIPLINARYULTIDISCIPLINARY TTEAMEAM
Leverages frontline expertise and experience. Leverages frontline expertise and experience. Impacts not only the change/interventions, Impacts not only the change/interventions,
but also the implementationbut also the implementation
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
A team is not the same as a committee…A team is not the same as a committee…CommitteeCommittee individuals bring individuals bring representationrepresentation productive capacity = single most able memberproductive capacity = single most able member
TeamTeam individuals bring individuals bring fundamental knowledgefundamental knowledge productive capacity = synergistic (more than the productive capacity = synergistic (more than the
sum of all individual team members together)sum of all individual team members together)
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Features of a good team…Features of a good team… Safe (no Safe (no ad hominemad hominem attacks) attacks) Inclusive (values all potential contributors including Inclusive (values all potential contributors including
diverse views; not a clique)diverse views; not a clique) Open (considers Open (considers allall ideas fairly) ideas fairly) Consensus seekingConsensus seeking
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Consensus…Consensus… definitiondefinition: finding a solution acceptable enough that : finding a solution acceptable enough that
all members can support it; no member opposes itall members can support it; no member opposes it
It is not:It is not:– A unanimous vote (consensus may not represent A unanimous vote (consensus may not represent
everyone’s first priorities)everyone’s first priorities)– A majority vote (in a majority vote, only the majority gets A majority vote (in a majority vote, only the majority gets
something they are happy with; people in the minority something they are happy with; people in the minority may get something they don’t want at all, which is not may get something they don’t want at all, which is not what consensus is all about)what consensus is all about)
– Everyone totally satisfiedEveryone totally satisfied
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Three types of team members…Three types of team members…1) Team Leader1) Team Leader
2) Team Facilitator2) Team Facilitator
3) Process Owners (members with operational, hands-on 3) Process Owners (members with operational, hands-on fundamental knowledge of the process)fundamental knowledge of the process)
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Team Leader…Team Leader… schedules and chairs team meetingsschedules and chairs team meetings sets the agenda (printed at each meeting)sets the agenda (printed at each meeting) records team activities (working documents in records team activities (working documents in
binder)binder) reports to management (Steering Team)reports to management (Steering Team) often a member of Steering Teamoften a member of Steering Team
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Team Facilitator…Team Facilitator… owns the team process (enforces ground rules)owns the team process (enforces ground rules) technical expert on QI theory and toolstechnical expert on QI theory and tools assists Team Leaderassists Team Leader teaches while doing, within teamteaches while doing, within team
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Process Owners…Process Owners… chosen for fundamental knowledgechosen for fundamental knowledge will help implementwill help implement should become leaders (so choose wisely)should become leaders (so choose wisely)
The Driving Force for Change:The Driving Force for Change: The Multidisciplinary Team The Multidisciplinary Team
Team Ground Rules…Team Ground Rules… All team members and opinions are equalAll team members and opinions are equal Team members will speak freely and in turnTeam members will speak freely and in turn
– We will listen attentively to othersWe will listen attentively to others– Each must be heardEach must be heard– No one may dominateNo one may dominate
ProblemsProblems will be discussed, analyzed, or attacked (not will be discussed, analyzed, or attacked (not peoplepeople)) All agreements are kept unless renegotiatedAll agreements are kept unless renegotiated Once we agree, we will speak with "One Voice" (especially after leaving the Once we agree, we will speak with "One Voice" (especially after leaving the
meeting)meeting) Honesty before cohesivenessHonesty before cohesiveness Consensus vs. democracy: each gets his say, not his wayConsensus vs. democracy: each gets his say, not his way Silence equals agreementSilence equals agreement Members will attend regularlyMembers will attend regularly Meetings will start and end on timeMeetings will start and end on time
A Brief Digression into Quality A Brief Digression into Quality Improvement TheoryImprovement Theory
Defining an Approach to ChangeDefining an Approach to Change
worse better Quality
After
Before
Quality Assu
rance
Bell Curve:Inpatient Population
Tail
Will the team target ‘all’ patients in the inpatient bell curve, or just a sub-group considered ‘at-risk’ (depicted in the outlying tail)? Is the quality of inpatient care which is not in the tail somehow ‘acceptable?’
Defining an Approach to ChangeDefining an Approach to Change
worse better Quality
After
Before
worse betterQualityQuality
Assurance
Bell Curve:Inpatient Population
Tail
If the team can identify and define an inpatient sub-group ‘at-risk,’ then improvement efforts could conceivably focus just on these ‘at-risk’ patients - this is similar to traditional Quality Assurance. Note that even if tail events are eliminated, the quality of care for the rest of the inpatient population (depicted by the unchanged position and shape of the bell curve) does not improve at all. While the mean does move toward better care, this is due only to eliminating statistical outliers.
Defining an Approach to ChangeDefining an Approach to Change
worse better
worse betterQuality
Quality
After
Before
worse betterQualityQuality
Assurance
Quality Improvement
Bell Curve:Inpatient Population
Tail
betterbetter
If the team identifies a performance gap applicable to a wider patient population, the team may design changes in processes with the potential for dramatic effect: improvement and standardization in processes reduces variation (narrows the curve) and raises quality of care for all (shifts entire curve toward better care). This radical change is what defines Quality Improvement.
Section III:Section III:
Tools for Engineering ChangeTools for Engineering Change
Engineering ChangeEngineering Change
Hospitals have two dynamic levels impacting Hospitals have two dynamic levels impacting performance:performance:1) Processes1) Processes
tasks performed in series or in parallel, impacting patient care tasks performed in series or in parallel, impacting patient care and potentially patient outcomesand potentially patient outcomes
2) Personnel 2) Personnel skilled people with hearts and minds, with variable levels of skilled people with hearts and minds, with variable levels of
attention, time, and expertiseattention, time, and expertise
Engineering Change:Engineering Change: What Variables Impact Quality Outcomes of Care?What Variables Impact Quality Outcomes of Care?
Structure Processes Outcomes of Care
Inputs Steps Outputs
•Patients•Equipment•Supplies•Training•Environment
•Inventory Methods•Coordination•Physician orders•Nursing Care•Ancillary staff•Housekeeping•Transport
•Physiologic parameters•Functional status•Satisfaction•Cost
Engineering Change:Engineering Change: What Variables Impact Quality Outcomes of Care?What Variables Impact Quality Outcomes of Care?
Processes
Steps
•Inventory Methods•Coordination•Physician orders•Nursing Care•Ancillary staff•Housekeeping•Transport
The two most dynamic levels impacting performance
Personnel
Engineering ChangeEngineering Change
ProcessesProcesses– all those affecting relevant aspects of patient all those affecting relevant aspects of patient
care care clinical decision making, order writing, admission clinical decision making, order writing, admission
intake, medication delivery, direct patient care, intake, medication delivery, direct patient care, discharge planning, PCP communication, discharge discharge planning, PCP communication, discharge follow-up, etcfollow-up, etc
Engineering ChangeEngineering Change
PersonnelPersonnel– anybody who touches the patient or a relevant anybody who touches the patient or a relevant
process in the systemprocess in the system departments, physicians, clerks, pharmacy, nursing, departments, physicians, clerks, pharmacy, nursing,
RT, PT/OT/ST, care technicians, phlebotomist, RT, PT/OT/ST, care technicians, phlebotomist, patient transport, administrationpatient transport, administration
Engineering Change: Engineering Change: The Multidisicplinary Team Asks “What?”The Multidisicplinary Team Asks “What?”
What?What?– is the right thing to do?is the right thing to do?– will make the system more effective?will make the system more effective?
Engineering Change: Engineering Change: The Multidisicplinary Team Asks “Where?”The Multidisicplinary Team Asks “Where?”
Where?Where?– are the processes to improve?are the processes to improve?
BrainstormingBrainstorming Multivoting & nominal group techniqueMultivoting & nominal group technique Affinity groupingAffinity grouping
– do we start? (dissect and understand the processes)do we start? (dissect and understand the processes) Cause and effect diagrams Cause and effect diagrams (Ishikawa or ‘fishbone’ diagrams) (Ishikawa or ‘fishbone’ diagrams) Tally sheetsTally sheets Pareto chartsPareto charts Flow Flow (conceptual flow, decision flow) (conceptual flow, decision flow) chartscharts Run chartsRun charts SPC chartsSPC charts Scatter chartsScatter charts
Tools for Engineering Change: Tools for Engineering Change: Cause-and-Effect DiagramCause-and-Effect Diagram
sometimes also called a ‘fishbone’ or sometimes also called a ‘fishbone’ or Ishikawa diagramIshikawa diagram graphically displays list of possible factors, focused on one graphically displays list of possible factors, focused on one
topic or objectivetopic or objective used to quickly organize and categorize ideas during a used to quickly organize and categorize ideas during a
brainstorming session, often as an interactive part of the brainstorming session, often as an interactive part of the session itself (the added organization can help produce session itself (the added organization can help produce balanced ideas during a brainstorming session)balanced ideas during a brainstorming session)
Tools for Engineering Change: Cause-and-Effect Diagram
PhysiologicFactors
PharmocologicFactors
Drug Administration
Errors
Ordering Errors
Transcribing
Spelling
Pharmacokinetics
Renal
Dilution
Time
Nurse
Route
Rate
ADE
NursePhysician
Pharmacist
PhysicianPharmacy
Nurse/Clerk
PharmacistPatient
PhysicianDietician
Patient
Wrong Drug
Dose
Scheduling
Dosage
Route
Past Allergic Reaction
Absorption
WeightAge
Gender
Electrolyte
Hepatic
RacePharmacodyamics
ExpectedDrug/Drug
Unforeseen
Drug/Food
Drug/Lab
Cognitive
Psychiatric
Compliance
Patient Errors
Order Missed
Place outcome here
Example: Adverse Drug Events (ADE)
This Cause-and-Effect Diagram (a.k.a. “Fishbone” or This Cause-and-Effect Diagram (a.k.a. “Fishbone” or IshikawaIshikawa DiagramDiagram) is very ) is very versatile: it’s also an effective tool for retrospective (versatile: it’s also an effective tool for retrospective (Root Cause AnalysisRoot Cause Analysis) or ) or prospective analyses of patient safety issues (prospective analyses of patient safety issues (Failure Modes Effect AnalysisFailure Modes Effect Analysis).).
Tools for Engineering Change: Pareto Chart
• graphical display of the relative weights or frequencies of competing events, choices, or options
• a bar chart, sorted from greatest to smallest, that summarizes the relative frequencies of events, choices, or options within a class
• often includes a cumulative total line
• used to focus within a broad category containing many choices, based on factual or opinion-based information
• can combine factors that contribute to each item's practical significance
0
10
20
30
40
50
60
70
80
90
100
Perc
en
t
CausesCauses
Tools for Engineering Change: Pareto Chart
Con
trib
uti
ng
Causes Contributing to Adverse Drug Events
Tools for Engineering Change: Tools for Engineering Change: Sketching Processes or FlowSketching Processes or Flow
Macro Process MapsMacro Process Maps Decision Flow DiagramsDecision Flow Diagrams
Tools for Engineering Change: Tools for Engineering Change: Macro Process MapMacro Process MapThe patient is
admitted to thehospital
The patient isclinically identified
as having heartfailure
The ejection fractionis evaluated
The ejection fractionis documented in the
chart
The ejection fraction< 40%
The ejection fraction> 39%
The patient isprescribed an ACEI
in hospital
The patient isprescribed an ACEI
at discharge
The patient is notprescribed an ACEI
in hospital
The contraindicationfor an ACEI is
documented in thechart
The patient isexcluded from thetarget population
Example: Heart Failure Core Measures 2-3
Deep Post-OpWound Infection
BacteremiaUTI Pneumonia Other
Prevention
Detection
Treatment
PatientPreparation
ProphylacticAntibiotics
Surgery
Post-OpWound Care
- Sterile Technique- Operative Findings
Prevention
PatientSelection
AntibioticSelection
Delivery
- Duration
Prophylaxis
- Timing
Tools for Engineering Change: Decision Flow Diagram
For iatrogenic infections, any given type of infection can be dissected into the hierarchy of
contributing layers.
Contributing layer dissected: Prevention
Contributing layer dissected: Prophylactic Antibiotics
Calling out the contributing layers helps the team think through the steps ripest for change.
Our brains understand graphics better than tablesOur brains understand graphics better than tables Tabular information doesn’t convey trends over time very Tabular information doesn’t convey trends over time very
wellwell Keep it simpleKeep it simple In center of In center of horizontal axishorizontal axis place: baseline mean place: baseline mean
performanceperformance In center of In center of vertical axisvertical axis place: implementation point place: implementation point Can add upper and lower control limits, but usually not Can add upper and lower control limits, but usually not
neededneeded
Tools for Engineering Change: Run Charts
Percent Sliding Scale Insulin Only
0
10
20
30
40
50
60
70
80
Perc
ent 10/20/03
New Order Set
01/20/04
CPOE - TH
Tools for Engineering Change: Run Charts
Percent with Frank Hypoglycemic Events
0
2
4
6
8
10
12
14
16
Perc
en
t
10/20/03New Order Set
CPOETH - 1/04HC - 8/04
March 2003Team Forms
Tools for Engineering Change: Run Charts
Percent with Optimal/Acceptable Glucose Readings
0
10
20
30
40
50
60
70
80
90
100
Perc
ent
CPOETH - 1/04HC - 8/04
10/20/03New Order Set
March 2003Team Forms
Tools for Engineering Change:
Run Charts
Engineering Change: Engineering Change: The Multidisicplinary Team Asks “How?”The Multidisicplinary Team Asks “How?”
How?How?– can you make it easy to do the right thing?can you make it easy to do the right thing?
You cannot destroy productivityYou cannot destroy productivity– Changes must maintain, or enhance, workplace efficiency or balanceChanges must maintain, or enhance, workplace efficiency or balance
You must devote as much attention to fitting changes into clinical work You must devote as much attention to fitting changes into clinical work flow as you do to the evidence-based guideline flow as you do to the evidence-based guideline
– Changes must be blended into the flow of clinical careChanges must be blended into the flow of clinical care– Important variables to consider: staffing, training, supplies, physical layout, Important variables to consider: staffing, training, supplies, physical layout,
information flow, and educational materialsinformation flow, and educational materials
Engineering ChangeEngineering Change
Improve incrementally. Learn through action.Improve incrementally. Learn through action.
PPlan lan DDo o SStudy tudy AActct
PDSA PDSA PDSA PDSA PDSA PDSA PDSA PDSA PDSA PDSA PDSA PDSA
Test your changes. Assess their effect.Test your changes. Assess their effect. Then re-work the changes and do it again…and Then re-work the changes and do it again…and
again…again…
Engineering Change: Engineering Change: PDSA PDSA
(the Benefits of Repeated Cycles)(the Benefits of Repeated Cycles)
Increases belief that change will result in Increases belief that change will result in improvementimprovement
Allows opportunities for “failures” without Allows opportunities for “failures” without impacting performanceimpacting performance
Provides documentation of improvementProvides documentation of improvement Adapts to meet changing environmentAdapts to meet changing environment Evaluates costs and side-effects of the changeEvaluates costs and side-effects of the change Minimizes resistance upon implementationMinimizes resistance upon implementation
Engineering ChangeEngineering Change: : PDSAPDSA
Overview:Overview:– scientific method for action-oriented learning: scientific method for action-oriented learning:
shorthand for testing a change in the real world shorthand for testing a change in the real world settingsetting
– test a change by: planning it, trying it, test a change by: planning it, trying it, measuring its results… and then trying to do it measuring its results… and then trying to do it better the next time better the next time
– multiple rounds of changes – some failures and multiple rounds of changes – some failures and some successes - should lead to improved some successes - should lead to improved aggregate outcome aggregate outcome
Engineering ChangeEngineering Change: : PDSAPDSA
Principles for Success:Principles for Success:– start new changes on the smallest possible start new changes on the smallest possible
scale, e.g. one patient, one nurse, one doctorscale, e.g. one patient, one nurse, one doctor– run just as many PDSA cycles as necessary to run just as many PDSA cycles as necessary to
gain confidence in your change – then expand gain confidence in your change – then expand – expand incrementally to more patientsexpand incrementally to more patients– expand to involve more nurses, more doctors, expand to involve more nurses, more doctors,
more departmentsmore departments– balance changes within system to ensure other balance changes within system to ensure other
processes not adversely stressedprocesses not adversely stressed
What do we want to achieve?
How will we measure our progress?
What changes will drive our progress?
How should we modify our latest changes?
modified from: The Foundation of Improvement by Thomas W. Nolan et. al
Engineering ChangeEngineering Change
What do we want to achieve?What do we want to achieve?Set an outcome aim.Set an outcome aim. (It should be ambitious, must be measurable and (It should be ambitious, must be measurable and must specify a time-period and a definite population must specify a time-period and a definite population in your hospital.)in your hospital.)
List the outcome aim again, then:List the outcome aim again, then:– ask “why” three times,ask “why” three times,– ask “how” three times,ask “how” three times,– look at the new aim statements, andlook at the new aim statements, and– pick the best onepick the best one
“Function Expansion”
modified from: The Foundation of Improvement by Thomas W. Nolan et. al
Engineering ChangeEngineering Change
What changes will drive our progress ?What changes will drive our progress ?
Select change(s) to your system, the one(s) Select change(s) to your system, the one(s) most likely to improve outcomes.most likely to improve outcomes.
(Recognize that not all changes improve outcomes (Recognize that not all changes improve outcomes or offer balance.)or offer balance.)
modified from: The Foundation of Improvement by Thomas W. Nolan et. al
Engineering ChangeEngineering Change
How will we measure our progress?How will we measure our progress?
Define what you will measure quantitatively.Define what you will measure quantitatively.
(Collect data, chart measures regularly over (Collect data, chart measures regularly over specified time-period, and chart against benchmarks specified time-period, and chart against benchmarks & goal lines.)& goal lines.)
Principles of Measurement: Seek usefulness, not perfection. Integrate measurement into the daily routine. Use qualitative and quantitative data. Use sampling.Plot data over time.
Three Types of Measures: 1) Outcomes2) Process3) Balancing measures
(Use a balanced set of measures for all improvement efforts.)
modified from: The Foundation of Improvement by Thomas W. Nolan et. al
Engineering ChangeEngineering Change
How should we modify our latest changes?How should we modify our latest changes?
Test your changes.Test your changes.
(Run PDSA cycles to learn from the work setting.)(Run PDSA cycles to learn from the work setting.)
modified from: The Foundation of Improvement by Thomas W. Nolan et. al
Engineering Change:Engineering Change:
Hints for SuccessHints for Success Empower nursingEmpower nursing Expedite order set and protocol passage through appropriate medical staff committeesExpedite order set and protocol passage through appropriate medical staff committees Better to implement an imperfect, compromise change than no change at allBetter to implement an imperfect, compromise change than no change at all Pilot newest changes on smallest scalePilot newest changes on smallest scale Provide hot line or support for difficult implementation situationsProvide hot line or support for difficult implementation situations Use your new system as a shared baseline, with clinicians free to vary based on Use your new system as a shared baseline, with clinicians free to vary based on
individual patient needsindividual patient needs Follow metrics continuously as you implementFollow metrics continuously as you implement Feed metrics back into subsequent PDSA cyclesFeed metrics back into subsequent PDSA cycles Measure, learn, and over time eliminate variation arising from professionals; retain Measure, learn, and over time eliminate variation arising from professionals; retain
variation arising from patientsvariation arising from patients Keep big picture in mindKeep big picture in mind Negotiate ‘speed bumps’Negotiate ‘speed bumps’
– Time delays in getting dataTime delays in getting data– Incomplete buy-inIncomplete buy-in– Go around obstacles instead of through them (can always go back to them later)Go around obstacles instead of through them (can always go back to them later)– Some who disagree with you may be correctSome who disagree with you may be correct– Make changes painless as possible: make it easy to do the right thingMake changes painless as possible: make it easy to do the right thing
QI Theory:QI Theory:Quality Improvement in the HospitalQuality Improvement in the Hospital
Suggested next steps:Suggested next steps:1) Share this primer in QI Theory with other hospitalists in 1) Share this primer in QI Theory with other hospitalists in
your groupyour group2) Identify an important QI project at your hospital2) Identify an important QI project at your hospital3) Lead the QI project using all available resources3) Lead the QI project using all available resources4) Learn from your experience and be among the first to 4) Learn from your experience and be among the first to
mentor other hospitalistsmentor other hospitalists
AcknowledgmentsAcknowledgments
Brent James, MD, MStat (Intermountain Health Care's Institute for Brent James, MD, MStat (Intermountain Health Care's Institute for Health Care Delivery Research): concepts, content, figuresHealth Care Delivery Research): concepts, content, figures
Thomas Nolan, PhD (Institute for Healthcare Improvement): concepts, Thomas Nolan, PhD (Institute for Healthcare Improvement): concepts, content, figurescontent, figures
Greg Maynard, MD, MSc (University of California, San Diego): editorial Greg Maynard, MD, MSc (University of California, San Diego): editorial composition and reviewcomposition and review
Jason Stein, MD (Emory University School of Medicine): editorial Jason Stein, MD (Emory University School of Medicine): editorial compositioncomposition