system design to produce safer care culture meassurement and infrastructure for safety

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System Design to Produce Safer Care: Culture, Measurement and Infrastructure 1 st Symposium IHI-Einstein: Implementation and Scale Up of Patient Safety Programs November 4, 2013 Carol Haraden, PhD Vice President

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Apresentação de Carol Haraden durante o SIMPÓSIO EINSTEIN-IHI: Implantação e Disseminação de Programas de Segurança do Paciente aconteceu de 3 a 5 de novembro de 2013, em São Paulo - Brasil. Carol Haraden é PhD, Vice Presidente do Institute for Healthcare Improvement (IHI), é membro do time responsável por desenvolver desenhos inovadores no cuidado ao paciente. Atualmente, ela lidera os trabalhos do IHI na Escócia, Sul da Inglaterra, Dinamarca e Estados Unidos.

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Page 1: System design to produce safer care culture meassurement and infrastructure for safety

System Design to Produce Safer Care: Culture, Measurement and Infrastructure1st Symposium IHI-Einstein: Implementation and Scale Up of Patient Safety Programs

November 4, 2013

Carol Haraden, PhD

Vice President

Page 2: System design to produce safer care culture meassurement and infrastructure for safety

Safety as a Systems Property

Page 3: System design to produce safer care culture meassurement and infrastructure for safety

Safety is not measured by the number of times you fall through

the ice…

Page 4: System design to produce safer care culture meassurement and infrastructure for safety
Page 5: System design to produce safer care culture meassurement and infrastructure for safety
Page 6: System design to produce safer care culture meassurement and infrastructure for safety

The Story of “David”5yr boy with known Sickle Cell diseaseGoes to emergency department of the local hospital with leg painDx Sickle crisis - admitted to hospital for IV fluids and pain reliefNext morning pain is worse, and David noticed to be jaundiced. Doctor asks for blood count and second analgesic is addedLab tech unable to draw blood for blood count, says someone else will come, but no one does. Doctor not notified - leaves for day without drawing blood for testNext morning, jaundice is worse, patient is weak, another doctor is called, draws blood for other tests – but blood count is not determined

Page 7: System design to produce safer care culture meassurement and infrastructure for safety

The Story of “David”Same day - doctor is called back by parents, draws the correct blood test –shows very low Hb (3.5), needs emergency blood transfusionNo blood available at hospital (new policy blood had to come from central blood bank), Parents offer to collect blood declined – hospital driver sent to pick up blood. No blood after 2 hours, parents frantic. ReassuredFurther 2 hour delay - driver runs other errands while picking up blood Pain is much worse – parents question narcotic scheduling – nurse replies “following doctor’s orders” David now weak, confused, agitated, laboured breathingParents frantic. Get nurses to call driver – dropping staff off at homesBlood arrives – wrong type – whole blood vs packed cellsTransfusion starts - 36h after initial FBC order20 min later David dies; primary reasons –heart failure and respiratory failure secondary to severe anaemia

Page 8: System design to produce safer care culture meassurement and infrastructure for safety

Case failure or System failure?

Page 9: System design to produce safer care culture meassurement and infrastructure for safety

Trends

and

Patterns(run charts,

statistical analysis,

qualitative study)

System Structure(pattern of interrelationship among key

components of the system: hierarchy,

process flows, mental models)

Leverage

for

Improvement

Systems: Leverage for Improvement

Events

(crisis, anecdotes, problems)

Page 10: System design to produce safer care culture meassurement and infrastructure for safety

Attribution Error

A fault in the interpretation of observations, seen everywhere, is to suppose that every event (defect, mistake, accident) is attributable to someone (usually the one nearest at hand), or is related to some special event. The fact is most troubles with service and production lie in the system.

- Deming (1986),p. 315)

10

Page 11: System design to produce safer care culture meassurement and infrastructure for safety

How do we know if what happened here is special cause or common cause (happening throughout the

organization)?

11

Page 12: System design to produce safer care culture meassurement and infrastructure for safety

Using the information from the case, what data would we like to have

about system performance?

What processes failed? Are they unreliable throughout the

organization?

12

Page 13: System design to produce safer care culture meassurement and infrastructure for safety

Model 1: “Bad Apples” theory = someone to blame

Source: Robert Lloyd, Ph.D.

13

Reject defectives

Requirement,Specification or

Threshold

No action taken here

QualityBetter Worse QualityBetter Worse

? Better

care

Page 14: System design to produce safer care culture meassurement and infrastructure for safety

But what happens to the remaining system after removing “bad apples”?

14

Increase

Fear

Micro-

manage

Kill the

Messenger

Filter

the

Information

QualityBetter

Requirement,Specification or

Threshold

Worse

Reject defects?

The Cycle of Fear

Page 15: System design to produce safer care culture meassurement and infrastructure for safety

Source: Robert Lloyd, Ph.D.

15

QualityBetter Worse

Action taken on all

occurrences

Model 2: “bad system” theory = system to blame (work on all parts of the system)

Page 16: System design to produce safer care culture meassurement and infrastructure for safety

Infrastructure: Portfolio Management and Execution

16

Page 17: System design to produce safer care culture meassurement and infrastructure for safety

In Order to Reduce Patient Harm and Mortality…

We have to know what changes, when taken together, will help us accomplish

this aim.

17

Page 18: System design to produce safer care culture meassurement and infrastructure for safety

The Intuitive Structure

Very Large System

“Meso-

System”

“Meso-

System”“Meso-

System”

Project

Project Project

ProjectProject

Project

Project

Project

Tier 1

Tier 2

Tier 3

Page 19: System design to produce safer care culture meassurement and infrastructure for safety

Example: System Medication Safety

Med.

reconciliation

Hospitals

SYSTEM Medication Safety

Rehab Offices

Standardized

dosing

Family

Capacity

Self med

Correct list

availability

Patient

capability

Tier 1:

Big Dot

Tier 2:

Portfolio

Tier 3:

Projects

Page 20: System design to produce safer care culture meassurement and infrastructure for safety

Example: Hospital Medication Safety

Med.

reconciliation

Med Surg

Hospital Medication Safety

Surgery Pharm

IV pumps

VTEOn time

antibiotics

Standardized

dosing

availability

Admix

Tier 1:

Big Dot

Tier 2:

Portfolio

Tier 3:

Projects

Page 21: System design to produce safer care culture meassurement and infrastructure for safety

IssuesTier 3:

Projects

� Team organization and capacity matter.

� Front-line leadership is critical.

� Measures tracked over time and visible.

� Senior leaders remove obstacles.

� Clear changes important.

� Ability to run PDSA cycles.

Page 22: System design to produce safer care culture meassurement and infrastructure for safety

IssuesTier 2:

Portfolio

� Middle Management key.

� What are the “drivers” of the outcomes we want?

� Outcomes tracked over time.

� “Connecting the Dots” – Putting the learning together.

� Continual readjustment of portfolio.

� Strong linkage to finance.

Page 23: System design to produce safer care culture meassurement and infrastructure for safety

IssuesTier 1:

Big Dot

� Aims of strategic importance to the system as a whole.

� “Big Dot” measure of progress.

� Executive, Board and Senior Leader engagement.

� Vision and the associated structural changes.

� Strong linkage to finance.

� Managing the learning, the politics, and the risks.

Page 24: System design to produce safer care culture meassurement and infrastructure for safety

Measurement for Safer Care

Page 25: System design to produce safer care culture meassurement and infrastructure for safety

The purpose of collecting and displaying data is to make better

decisions…

Page 26: System design to produce safer care culture meassurement and infrastructure for safety

Coronary Artery Bypass Graft

Mortality Rate (%)

Jan ‘02 Jan ‘03

5.9%

1.1%

Page 27: System design to produce safer care culture meassurement and infrastructure for safety

Coronary Artery Bypass Graft

0

1

2

3

4

5

6

7

Jan-

02

Feb

Mar

Apr

May Ju

n

Jul

Aug

Sep

Oct

Nov

Dec

Jan-

03

CABG Mortality Rate: Clinic I

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Coronary Artery Bypass Graft

0

1

2

3

4

5

6

7Ja

n-0

2

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Jan-0

3

CABG Mortality Rate: Clinic II

Page 29: System design to produce safer care culture meassurement and infrastructure for safety

Coronary Artery Bypass Graft

0

1

2

3

4

5

6

7

Jan-

02

Feb

Mar

Apr

May Ju

n

Jul

Aug

Sep

Oct

Nov

Dec

Jan-

03

CABG Mortality Rate: Clinic III

Page 30: System design to produce safer care culture meassurement and infrastructure for safety

There is no single measure of safety, but early warning signals can be valuable and should be

maintained and heeded.

Berwick Report: Promise to learn, Commitment to Act (2013)

Page 31: System design to produce safer care culture meassurement and infrastructure for safety

Monitoring and MeasuringMeasurement: data from the past, almost always driving using the rear view mirror; Example: Plotting your average driving

speed on a run chart over a month

Monitoring: real time understanding of the situation so that management can be more dynamic Example: Using the speedometer to gauge

speed as you drive.

Page 32: System design to produce safer care culture meassurement and infrastructure for safety

Monitoring and Measuring

When asked if your organisation is safe, what exactly do you want to know to answer that question?

Asking five critical questions can help you understand the different dimensions of safety in your organisation.

Page 33: System design to produce safer care culture meassurement and infrastructure for safety

• Has patient care been safe in the past? • Are our clinical systems and processes reliable? • Is care safe today? • Will care be safe in the future? • Are we responding and improving?

Page 34: System design to produce safer care culture meassurement and infrastructure for safety

The 5 questions…� Safe in the Past: psychological and physical

measures � Reliability: ‘failure free operation over time’ applies

to measures of behaviour, processes and systems � Safe Today: Sensitivity to operations- the

information and capacity to monitor safety on an hourly or daily basis

� Safe in Future: Anticipation and preparedness- the ability to anticipate, and be prepared for, problems

� Improving: Integration and learning: the ability to respond to, and improve from, safety information

Page 35: System design to produce safer care culture meassurement and infrastructure for safety

“…As every clinician and manager knows, problems and crises that potentially threaten safety occur on a daily or even hourly basis, such as a sudden influx of very sick patients, staff sickness or equipment breakdowns.”

Berwick Report: Promise to learn, Commitment to Act (2013)

Page 36: System design to produce safer care culture meassurement and infrastructure for safety

What are your sources of data?

Do you have the full picture?

Page 37: System design to produce safer care culture meassurement and infrastructure for safety

Infection

rates

Mortality

reviewRisk

management

Root cause

analysis

Readmission

data

Death and harm

What are important and recurrent issues?Who has the data?

Incident

reports

Page 38: System design to produce safer care culture meassurement and infrastructure for safety

Possible structures for information integration

Board

Senior Leaders

Middle Managers

Frontline Staff

Greater

outcome

focus

Relevant

process and

outcome

measures

Higher level

outcome

measures

Greater

process

focus

Page 39: System design to produce safer care culture meassurement and infrastructure for safety

The Culture of Safety

39

Page 40: System design to produce safer care culture meassurement and infrastructure for safety

40*Adapted from Safeskies 2001, “Aviation Safety Culture,” Patrick Hudson, Centre for Safety Science, Leiden University

PATHOLOGICALWho cares as long as we’re not caught

Chronically Complacent

REACTIVESafety is important. We do a lot every

time we have an accident

CALCULATIVEWe have systems in place to manage all

hazards

PROACTIVEAnticipating and preventing problems

before they occur

Constantly Vigilant

GENERATIVESafety is how we do business around here

Constantly Vigilant

Evolution of A Culture of Safety and

Reliability

40

Page 41: System design to produce safer care culture meassurement and infrastructure for safety

The Human Component: Appropriate Accountability: Fair and Just Culture

Page 42: System design to produce safer care culture meassurement and infrastructure for safety

Accountability – Fair and Just Culture

� Clear, simple rules - “one set” that apply to everyone.

� Four questions:- Was there malice involved?- Was the individual knowingly impaired?- Was there a conscious unsafe act?- Did the person(s) make a mistake that someone of similar skill and training could make under those circumstances?

Page 43: System design to produce safer care culture meassurement and infrastructure for safety

Drawing the Bright Line

�Malicious

�Substance Use

�Conscious unsafe act

�Substitution Test could 2-3 others make

the same mistake in similar circumstances?

Repeat Events

Remediate / replace

Safe Harbor –Systems Approach

Reason, James

Page 44: System design to produce safer care culture meassurement and infrastructure for safety

Organizational Fairness/Just Culture

Differentiate between:

Unsafe individuals

• Reckless behaviors

• Risky behaviors

Unsafe systems

Pascal Metrics

Page 45: System design to produce safer care culture meassurement and infrastructure for safety

1. First, exclude individuals with impaired judgment or whose actions might be malicious. (These cases must be

managed using other appropriate avenues – i.e. employee assistance programs for substance abuse and

psychosocial problems, legal authorities for cases with possible criminal intent.)

IMPAIRED JUDGMENT

The caregiver's thinking was impaired

- by illegal or legal substances

- by cognitive impairment

- by severe psychosocial stressors

MALICIOUS ACTION

The caregiver wanted to cause harm.

• Discipline is warranted if illegal substances

were used.

• The caregiver's mindset and performance

should be evaluated to determine whether a

temporary work suspension would be

helpful.

• Help should be actively offered to the

caregiver.

• Discipline and/or legal proceedings are

warranted.

• The caregiver's duties should be suspended

immediately.

The Fair Evaluation and Response Chart

slide-45Pascal Metrics Pascal MetricsPartially adapted from David Marx

Page 46: System design to produce safer care culture meassurement and infrastructure for safety

2. Second, use best judgment to categorize each action as either Reckless, Risky or Unintentional based on the

definitions in the Chart. The categorization determines the general level of culpability and possible

disciplinary actions, however these general categories require further analysis as below prior to making a

final decision.

RECKLESS ACTION

The caregiver knowingly violated a

rule and/or made a dangerous or

unsafe choice. The decision appears

to be self serving and to have been

made with little or no concern

about risk.

RISKY ACTION

The caregiver made a potentially

unsafe choice.

Their evaluation of relative risk

appears to be erroneous.

UNINTENTIONAL ERROR

The caregiver made or participated

in an error while working

appropriately and in the patients'

best interests

• The caregiver is accountable and

needs re-training. Discipline may

be warranted

• The caregiver should participate

in teaching others the lessons

learned.

• The caregiver is accountable and

should receive coaching.

• The caregiver should participate

in teaching others the lessons

learned.

• The caregiver is not accountable.

• The caregiver should participate

in investigating why the error

occurred and teach others about

the results of the investigation.

The Fair Evaluation and Response Chart

Partially adapted from David Marx. slide-46 Pascal Metrics

Page 47: System design to produce safer care culture meassurement and infrastructure for safety

3. Third, perform a Substitution Test by asking at least 3 others with similar skills if they, in a similar situation,

would act similarly. If the answer is “No” the individual is accountable. If the answer is “We do it all the

time” or answers are divided, assign accountability per below - and remember that an important goal is to

ensure others perceive responses as fair:

The system supports reckless

action and requires fixing. The

caregiver is probably less

accountable for the action,

and system leaders share in

the accountability.

The system supports risky

action and requires fixing. The

caregiver is probably less

accountable for the action,

and system leaders share in

the accountability.

The system supports error and

requires fixing. The system's

leaders are accountable and

should apply error-proofing

improvements.

4. Fourth, evaluate whether the individual has a history of unsafe or problematic acts.

If they do, this may influence decisions about the appropriate responsibilities for the individual i.e. they

may be in the wrong job. Organizations should have a reasonable and agreed upon statute of limitations for

taking these actions into account.

The Fair Evaluation and Response Chart

The Substitution Test is a concept of James Reason.slide-47

Pascal Metrics

Page 48: System design to produce safer care culture meassurement and infrastructure for safety

The Blame Cycle

Mgt. eveneven moreconvincedthat…

People seen to choose erroneous course of action

Deliberate actions deserve sanctions

Exhort and punish those making errors

Little or no effect on error rates

Management view this as deliberate disregard of warnings, etc.

STARTS HERE

James Reason, 2000

Page 49: System design to produce safer care culture meassurement and infrastructure for safety
Page 50: System design to produce safer care culture meassurement and infrastructure for safety

Use of the Machine

Typically, 2 machines for each 13 room hallwayNurse has 5 patients placed throughout the unitOn average, each patient has between 7-10 medications 2-4 times per dayNurse takes medications out 1 at a time

Page 51: System design to produce safer care culture meassurement and infrastructure for safety

PERFORMANCE

ACCIDENT

System Migration to Unsafe Practices to

VE

RY

UN

SAF

ESP

AC

E

The guidelines and policy-take meds out for one pt. at a time

Belief Systems

Life Pressures

INDIVIDUAL BENEFITS

More than one patients meds placed in pockets= Legal/normal

All patientsmeds placed in pockets= ‘‘‘‘Illegal-Illegal’’’’ space Perceived

Vulnerability

Page 52: System design to produce safer care culture meassurement and infrastructure for safety

Why the migration to less safe practices?

Policy unmanageable Nurses did not have the time to make several trips back and forth to the machine several times a dayThe medication cart had been taken awayNo one had studied medication administration patterns before installationSafe dispensing ≠ safe administration

Page 53: System design to produce safer care culture meassurement and infrastructure for safety

What migrations occur in your practice area and hospital?

Page 54: System design to produce safer care culture meassurement and infrastructure for safety

The two stories with very different endings…

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55

Why did this end so well?

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Page 56: System design to produce safer care culture meassurement and infrastructure for safety

…and this so badly?

pacColumbia

Destroyed February 1, 2003

Page 57: System design to produce safer care culture meassurement and infrastructure for safety

The history of foam-problem decisions shows how NASA first began and then continued flying with foam losses, so that flying with these deviations from design specifications was viewed as normal and acceptable …The parallels (with Challenger) are striking. The acceptance of events that are not supposed to happen is known as “normalization of deviance.

Report of the Columbia Accident Investigation Board 8/26/03. P 130.

Page 58: System design to produce safer care culture meassurement and infrastructure for safety

Over the course of 22 years, foam strikes were normalized to the point

where they were simply a maintenance issue – a concern that did not threaten a

mission’s success.

Report of the Columbia Accident Investigation Board 8/26/03. P 181.

Page 59: System design to produce safer care culture meassurement and infrastructure for safety

Culture

The culture of wanting to know the truth

The courage to face reality

Listening to staff and patients

Page 60: System design to produce safer care culture meassurement and infrastructure for safety

• Commit to knowing the ‘thickness of your ice’ • Build a portfolio of safety work and capability at every

level• Improve the SYSTEM of safety AND events • Monitor AND measure• Get the best and most complete picture of the issues

(data) and display in a way that is understandable and compelling

• Train managers and leaders on use of the just culture decision tools

• Have courage to face reality and speak the truth.• Listen to patients and families!

Good places to start…