SlideShare a Scribd company logo
1 of 37
Patient safety:
thinking
differently
Exploring the challenges in patient
safety improvement from national,
local and personal perspectives
Frances Healey, RGN, RMN, PhD
Head of Patient Safety Insight,
NHS England
4 December 2014
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
Around 12,000,000 incidents have
been reported.
Approximately 4,000 incidents are
reported to the NRLS per day
Around 94% of incidents cause low
or no harm
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
Oct -
Dec
2003
Apr -
Jun
2004
Oct -
Dec
2004
Apr -
Jun
2005
Oct -
Dec
2005
Apr -
Jun
2006
Oct -
Dec
2006
Apr -
Jun
2007
Oct -
Dec
2007
Apr -
Jun
2008
Oct -
Dec
2008
Apr -
Jun
2009
Oct -
Dec
2009
Apr -
Jun
2010
Oct -
Dec
2010
Apr -
Jun
2011
Oct -
Dec
2011
Incidents submitted
Scale of the problem: reported incidents
• Each report an opportunity to learn: 68% no harm & 25% low harm
• But each report also represents actual or potential distress or harm
to patients and concern from staff
NRLS Quarterly Data workbooks April 2012 – March 2013 England data: 1,353,430 incidents in total
Other
Patient abuse (by third party/staff)
Infection Control Incident
Medical device / equipment
Disruptive, aggressive behaviour
Self-harming behaviour
Consent, communication, confidentiality
Clinical assessment & diagnosis
Infrastructure
Documentation
Access, admission, transfer, discharge
Medication
Treatment, procedure
Implementation of care
Patient accident
0 50,000 100,000 150,000 200,000 250,000 300,000 350,000
“But we are interested
in future harm, not
past harm”
• We need to embrace the challenges and opportunities
set out by the Health Foundation’s The measurement
and monitoring of patient safety
• But past harm matters because:
– The NHS today is not so very different from the NHS earlier
this year; our processes, pressures, patient groups, staff,
buildings, equipment, and training will not have radically
changed since the period these data are drawn from
– Therefore the patterns of human error, and poorly
designed systems that fail to prevent harm reaching the
patient, are likely to recur until we make improvements
Don’t count incident reports, read them….
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
National Patient Safety Alerting
System (NaPSAS)
www.england.nhs.uk
• A new system launched in January
2014 for alerting the NHS to
emerging patient safety risks
• Builds on the best elements of the
former National Patient Safety
Agency (NPSA) system
• A three-stage alerting system
based on other high risk industries
such as aviation
NRLS death & severe
Potential new risks
received from:
Coroners
NHS staff
Professional bodies
Clinical audit/mortality
Public/patients
Other national
organisations
NO ACTION
- risk not significant
- action already underway
- action not feasible
Resolution:
FOR ACTION BY OTHERS
Information handed over
NaPSAS ALERT
1. Warning
2. Resource
3. Directive
FOR OTHER ACTION
e.g. social movements,
collaboratives, education,
etc.
Triage:
Discussion
Information
gathering
Detailed insight
from expert groups
Decision
Targeted
audience‘Story’ of trigger
incident
Number and
nature of similar
errors
Works with differing levels of organisational maturity
A. Why waste
our time on
safety?
B. We do
something
when we
have an
incident
C. We have
systems in
place to
manage all
identified
risks
D. We are
always on the
alert for risks
that might
emerge
E. Risk
management
is an integral
part of
everything
that we do
PATHOLOGICAL REACTIVE BUREAUCRATIC PROACTIVE GENERATIVE
The Manchester Patient Safety Assessment Framework
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
Scale of the problem: death & severe harm
19%
17%
14%
8%
6%
6%
6%
5%
9% Suicide/severe self harm
Fall (hip #/sub-dural)
Pressure ulcer grade 4
Treatment error or delay
Obstetric-specific incident
Operation/procedure related
Clinical diagnostic error/delay
Missed deterioration
Medication incident
Healthcare associated infection
Pulmonary embolus
Test results not acted on
Transfer or discharge incident
Other/unclear
NRLS post clinical review (after clear reporting errors excluded) April 2013-March 2014 England data: 8,018 incidents
Over 8,000 reported fatal or severe harm incidents each year
Scale of the problem: other sources
• Around 4,400 people commit suicide
each year; 27% are known to mental
health services; most are known to GPs
• 4,849 deaths related to VTE within 120
days of hospital admission (for reasons
other than VTE) each year
• 9,500 patients with grade 2/3/4
pressure ulcers on each monthly survey
• Around 3,000 hip fractures from falls in
hospitals each year identified by the
National Hip Fracture database
NCISH 2014 report - HSCIC NHS OF Aug 2014 - Safety Thermometer Sept 2014 – NHFD 2014 report
Suicides - England 2002-2012
The largest areas of harm remain large
because they are ‘wicked problems’ which
need complex, wide-ranging and sustained
improvement efforts
2007
2014
2020
2015
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
17
• 5% of deaths
potentially
avoidable Median
age 80 years
Main problem types:
• Clinical
monitoring (in the
broad sense) 31%
• Diagnostic error &
delay 30%
• Fluids and
medication 21%
• Average 4
problems in
healthcare per
avoidable
death
Patient Safety
Incident
Not classic Swiss cheese
“bull’s eye”
Patient
Cumulative effect of more minor harms
“death by a thousand cuts”
Are you confident potentially avoidable deaths discussed in mortality
meetings are reported as incidents and known to your Board?
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
Acute care settings: patient age within
death and severe harm incidents
22
21%
27%
17%
9%
6%
7%
6%
3%
4%
Over 85 years
76 to 85 years
66 to 75 years
56 to 65 years
46 to 55 years
36 to 45 years
26 to 35 years
18 to 25 years
Under 17 years
NRLS post clinical review (after clear reporting errors excluded) April 2013-March 2014 England data
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
25
26
And the response to NHS Choices publication?
29
http://blogs.bmj.com/bmj/2014/05/09/tara-lamont-on-failing-well-
archie-cochranes-legacy/
@TaraJLamont
Archie Cochrane
30www.england.nhs.uk
31www.england.nhs.uk
“The results at that stage showed a slight numerical
advantage for those who had been treated at home. It was of
course completely insignificant statistically.
“I rather wickedly compiled two reports, one reversing the
numbers of deaths on the two sides of the trial. As we were
going into committee, in the anteroom, I showed some
cardiologists the results……..
32
“……they were vociferous in their abuse: `Archie’, they said,
`we always thought you were unethical. You must stop the
trial at once…’
“I let them have their say for some time and then apologised
and gave them the true results, challenging them to say, as
vehemently, that coronary care units should be stopped
immediately.
“There was dead silence and I felt rather sick because they
were, after all, my medical colleagues.”
Professor Archibald Cochrane & Max Blythe One Man's Medicine (1989) p.211
33
“cognitive dissonance”
http://britishgeriatricssociety.
wordpress.com/2013/05/16/al
l-down-to-numbers/
“data used for reassurance”
Patient
Safety
’Fellows’
Patient Safety
Collaboratives
A system
devoted to
continual
learning and
improvement
NRLS
NaPSAS
Data
Transparency
Retrospective
case note
review
Vulnerable
groups
Vulnerable
points of
care
Key types
of harm
and reduce harm by 50%
SAFE
team
NHSEngland’sIntegratedPatient
SafetyStrategyfortheNHS
www.england.nhs.uk
http://m.qualitysafety.bmj.com/content/23/11/880.full
"The consistent delivery of well-executed safe care
under typically difficult circumstances tends to go
unrecognised"
Thank you!
frances.healey@nhs.net
@FrancesHealey

More Related Content

What's hot

Niek Klazinga: A European perspective on care quality
Niek Klazinga: A European perspective on care qualityNiek Klazinga: A European perspective on care quality
Niek Klazinga: A European perspective on care qualityQualityWatch
 
Professor Liam Smeeth: Big Data, 30 June 2014
Professor Liam Smeeth: Big Data, 30 June 2014Professor Liam Smeeth: Big Data, 30 June 2014
Professor Liam Smeeth: Big Data, 30 June 2014Nuffield Trust
 
H2O World - Machine Learning to Save Lives - Taposh Dutta Roy
H2O World - Machine Learning to Save Lives - Taposh Dutta RoyH2O World - Machine Learning to Save Lives - Taposh Dutta Roy
H2O World - Machine Learning to Save Lives - Taposh Dutta RoySri Ambati
 
Introduction - The Emergency Laparotomy Collaborative
Introduction - The Emergency Laparotomy CollaborativeIntroduction - The Emergency Laparotomy Collaborative
Introduction - The Emergency Laparotomy CollaborativeInnovation Agency
 
Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...
Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...
Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...John Blue
 
Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...
Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...
Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...Health IT Conference – iHT2
 
Real World Evaluation and implementation of a diagnostic test for pre-eclampsia
Real World Evaluation and implementation of a diagnostic test for pre-eclampsiaReal World Evaluation and implementation of a diagnostic test for pre-eclampsia
Real World Evaluation and implementation of a diagnostic test for pre-eclampsiaWalt Whitman
 
Helen Figge Alere #MWC14 #mHealth
Helen Figge Alere #MWC14 #mHealthHelen Figge Alere #MWC14 #mHealth
Helen Figge Alere #MWC14 #mHealth3GDR
 
James Downie - Independent Hospital Pricing Authority
James Downie - Independent Hospital Pricing AuthorityJames Downie - Independent Hospital Pricing Authority
James Downie - Independent Hospital Pricing AuthorityInforma Australia
 
Quality And Performamce Measurement: The Massachusetts Experience
Quality And Performamce Measurement: The Massachusetts ExperienceQuality And Performamce Measurement: The Massachusetts Experience
Quality And Performamce Measurement: The Massachusetts ExperienceFrank Fortin
 
Patient First Conference AKI Outcomes Dan Lasserson
Patient First Conference AKI Outcomes Dan LassersonPatient First Conference AKI Outcomes Dan Lasserson
Patient First Conference AKI Outcomes Dan LassersonRenal Association
 
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...Health IT Conference – iHT2
 
What's Next in RWE_Amy Rudolph_Novartis_mHealth Israel
What's Next in RWE_Amy Rudolph_Novartis_mHealth IsraelWhat's Next in RWE_Amy Rudolph_Novartis_mHealth Israel
What's Next in RWE_Amy Rudolph_Novartis_mHealth IsraelLevi Shapiro
 
OHDSI OMOP - i2b2 conference Tübingen 2019
OHDSI OMOP - i2b2 conference Tübingen 2019OHDSI OMOP - i2b2 conference Tübingen 2019
OHDSI OMOP - i2b2 conference Tübingen 2019Maxim Moinat
 
Where are we on HIV testing services - the achievements and the gaps
Where are we on HIV testing services - the achievements and the gapsWhere are we on HIV testing services - the achievements and the gaps
Where are we on HIV testing services - the achievements and the gapsCheryl Johnson
 
Diagnostic Errors in Medicine: Physician Perspectives Survey
Diagnostic Errors in Medicine: Physician Perspectives SurveyDiagnostic Errors in Medicine: Physician Perspectives Survey
Diagnostic Errors in Medicine: Physician Perspectives SurveyBest Doctors
 

What's hot (20)

Niek Klazinga: A European perspective on care quality
Niek Klazinga: A European perspective on care qualityNiek Klazinga: A European perspective on care quality
Niek Klazinga: A European perspective on care quality
 
Professor Liam Smeeth: Big Data, 30 June 2014
Professor Liam Smeeth: Big Data, 30 June 2014Professor Liam Smeeth: Big Data, 30 June 2014
Professor Liam Smeeth: Big Data, 30 June 2014
 
H2O World - Machine Learning to Save Lives - Taposh Dutta Roy
H2O World - Machine Learning to Save Lives - Taposh Dutta RoyH2O World - Machine Learning to Save Lives - Taposh Dutta Roy
H2O World - Machine Learning to Save Lives - Taposh Dutta Roy
 
Introduction - The Emergency Laparotomy Collaborative
Introduction - The Emergency Laparotomy CollaborativeIntroduction - The Emergency Laparotomy Collaborative
Introduction - The Emergency Laparotomy Collaborative
 
Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...
Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...
Dr. Kathleen H. Hartman - Commercial Aquaculture Health Program Standards (CA...
 
Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...
Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...
Health IT Summit Boston 2014 – Case Study “Beyond MU Stage 2: Maximizing the ...
 
Poster Europrevent14 Mulder-Wiggers et al. def
Poster Europrevent14 Mulder-Wiggers et al. defPoster Europrevent14 Mulder-Wiggers et al. def
Poster Europrevent14 Mulder-Wiggers et al. def
 
Real World Evaluation and implementation of a diagnostic test for pre-eclampsia
Real World Evaluation and implementation of a diagnostic test for pre-eclampsiaReal World Evaluation and implementation of a diagnostic test for pre-eclampsia
Real World Evaluation and implementation of a diagnostic test for pre-eclampsia
 
Helen Figge Alere #MWC14 #mHealth
Helen Figge Alere #MWC14 #mHealthHelen Figge Alere #MWC14 #mHealth
Helen Figge Alere #MWC14 #mHealth
 
1115 fiztgerald schuchardt
1115 fiztgerald schuchardt1115 fiztgerald schuchardt
1115 fiztgerald schuchardt
 
James Downie - Independent Hospital Pricing Authority
James Downie - Independent Hospital Pricing AuthorityJames Downie - Independent Hospital Pricing Authority
James Downie - Independent Hospital Pricing Authority
 
Quality And Performamce Measurement: The Massachusetts Experience
Quality And Performamce Measurement: The Massachusetts ExperienceQuality And Performamce Measurement: The Massachusetts Experience
Quality And Performamce Measurement: The Massachusetts Experience
 
Inclusion Health and Digital Health
Inclusion Health and Digital Health Inclusion Health and Digital Health
Inclusion Health and Digital Health
 
Patient First Conference AKI Outcomes Dan Lasserson
Patient First Conference AKI Outcomes Dan LassersonPatient First Conference AKI Outcomes Dan Lasserson
Patient First Conference AKI Outcomes Dan Lasserson
 
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
 
NHS activity and performance summary: April/May 2018
NHS activity and performance summary: April/May 2018NHS activity and performance summary: April/May 2018
NHS activity and performance summary: April/May 2018
 
What's Next in RWE_Amy Rudolph_Novartis_mHealth Israel
What's Next in RWE_Amy Rudolph_Novartis_mHealth IsraelWhat's Next in RWE_Amy Rudolph_Novartis_mHealth Israel
What's Next in RWE_Amy Rudolph_Novartis_mHealth Israel
 
OHDSI OMOP - i2b2 conference Tübingen 2019
OHDSI OMOP - i2b2 conference Tübingen 2019OHDSI OMOP - i2b2 conference Tübingen 2019
OHDSI OMOP - i2b2 conference Tübingen 2019
 
Where are we on HIV testing services - the achievements and the gaps
Where are we on HIV testing services - the achievements and the gapsWhere are we on HIV testing services - the achievements and the gaps
Where are we on HIV testing services - the achievements and the gaps
 
Diagnostic Errors in Medicine: Physician Perspectives Survey
Diagnostic Errors in Medicine: Physician Perspectives SurveyDiagnostic Errors in Medicine: Physician Perspectives Survey
Diagnostic Errors in Medicine: Physician Perspectives Survey
 

Similar to Patient safety thinking differently

mike durkin collaborative launch event oct 2014
mike durkin collaborative launch event oct 2014mike durkin collaborative launch event oct 2014
mike durkin collaborative launch event oct 2014NHS Improving Quality
 
Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...
Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...
Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...Canadian Patient Safety Institute
 
Susan Burnett: Measuring and monitoring safety in health care
Susan Burnett: Measuring and monitoring safety in health careSusan Burnett: Measuring and monitoring safety in health care
Susan Burnett: Measuring and monitoring safety in health careQualityWatch
 
Stroke prevention services - quality & safety indicators
Stroke prevention services - quality & safety indicatorsStroke prevention services - quality & safety indicators
Stroke prevention services - quality & safety indicatorsHelicon Health
 
How to Use Data to Improve Patient Safety: A Two-Part Discussion
How to Use Data to Improve Patient Safety: A Two-Part DiscussionHow to Use Data to Improve Patient Safety: A Two-Part Discussion
How to Use Data to Improve Patient Safety: A Two-Part DiscussionHealth Catalyst
 
Helen Snooks - PRIME Annual Meeting 2020
Helen Snooks - PRIME Annual Meeting 2020Helen Snooks - PRIME Annual Meeting 2020
Helen Snooks - PRIME Annual Meeting 2020angewatkins
 
Patient safety- To err is human, building safer health system -IPSG
Patient safety- To err is human, building safer health system -IPSGPatient safety- To err is human, building safer health system -IPSG
Patient safety- To err is human, building safer health system -IPSGLallu Joseph
 
Patient profiling disaggregating the data
Patient profiling disaggregating the dataPatient profiling disaggregating the data
Patient profiling disaggregating the datanhsnwHELP
 
Dr. Martin Bardsley Digital Health Assembly 2015
Dr. Martin Bardsley Digital Health Assembly 2015Dr. Martin Bardsley Digital Health Assembly 2015
Dr. Martin Bardsley Digital Health Assembly 2015DHA2015
 
Cancer patients’ experiences in one tertiary referral emergency department (E...
Cancer patients’ experiences in one tertiary referral emergency department (E...Cancer patients’ experiences in one tertiary referral emergency department (E...
Cancer patients’ experiences in one tertiary referral emergency department (E...Cancer Institute NSW
 
Power Case Study Of A Registered Nurse
Power Case Study Of A Registered NursePower Case Study Of A Registered Nurse
Power Case Study Of A Registered NurseSusan Kennedy
 
Pediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events PresentationPediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events PresentationJordan Gamart
 
Telemedicine
TelemedicineTelemedicine
TelemedicineITT Tech
 
21 may2014 f healey ps congres
21 may2014 f healey ps congres21 may2014 f healey ps congres
21 may2014 f healey ps congresFrances Healey
 
Bernie Harrison - Australian Council Healthcare Standards
Bernie Harrison - Australian Council Healthcare StandardsBernie Harrison - Australian Council Healthcare Standards
Bernie Harrison - Australian Council Healthcare StandardsInforma Australia
 

Similar to Patient safety thinking differently (20)

mike durkin collaborative launch event oct 2014
mike durkin collaborative launch event oct 2014mike durkin collaborative launch event oct 2014
mike durkin collaborative launch event oct 2014
 
Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...
Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...
Introduction of the Measuring and Monitoring of Safety (Vincent) Framework to...
 
MLS13 QI Workshop
MLS13 QI WorkshopMLS13 QI Workshop
MLS13 QI Workshop
 
Susan Burnett: Measuring and monitoring safety in health care
Susan Burnett: Measuring and monitoring safety in health careSusan Burnett: Measuring and monitoring safety in health care
Susan Burnett: Measuring and monitoring safety in health care
 
Stroke prevention services - quality & safety indicators
Stroke prevention services - quality & safety indicatorsStroke prevention services - quality & safety indicators
Stroke prevention services - quality & safety indicators
 
How to Use Data to Improve Patient Safety: A Two-Part Discussion
How to Use Data to Improve Patient Safety: A Two-Part DiscussionHow to Use Data to Improve Patient Safety: A Two-Part Discussion
How to Use Data to Improve Patient Safety: A Two-Part Discussion
 
5_russell.ppt
5_russell.ppt5_russell.ppt
5_russell.ppt
 
Helen Snooks - PRIME Annual Meeting 2020
Helen Snooks - PRIME Annual Meeting 2020Helen Snooks - PRIME Annual Meeting 2020
Helen Snooks - PRIME Annual Meeting 2020
 
Patient safety- To err is human, building safer health system -IPSG
Patient safety- To err is human, building safer health system -IPSGPatient safety- To err is human, building safer health system -IPSG
Patient safety- To err is human, building safer health system -IPSG
 
Analytics leads to improved quality and performance
Analytics leads to improved quality and performanceAnalytics leads to improved quality and performance
Analytics leads to improved quality and performance
 
Patient profiling disaggregating the data
Patient profiling disaggregating the dataPatient profiling disaggregating the data
Patient profiling disaggregating the data
 
Dr. Martin Bardsley Digital Health Assembly 2015
Dr. Martin Bardsley Digital Health Assembly 2015Dr. Martin Bardsley Digital Health Assembly 2015
Dr. Martin Bardsley Digital Health Assembly 2015
 
Your Patient Had A VTE – What Went Wrong?
Your Patient Had A VTE – What Went Wrong?Your Patient Had A VTE – What Went Wrong?
Your Patient Had A VTE – What Went Wrong?
 
Cancer patients’ experiences in one tertiary referral emergency department (E...
Cancer patients’ experiences in one tertiary referral emergency department (E...Cancer patients’ experiences in one tertiary referral emergency department (E...
Cancer patients’ experiences in one tertiary referral emergency department (E...
 
Power Case Study Of A Registered Nurse
Power Case Study Of A Registered NursePower Case Study Of A Registered Nurse
Power Case Study Of A Registered Nurse
 
Pediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events PresentationPediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events Presentation
 
Telemedicine
TelemedicineTelemedicine
Telemedicine
 
21 may2014 f healey ps congres
21 may2014 f healey ps congres21 may2014 f healey ps congres
21 may2014 f healey ps congres
 
Bernie Harrison - Australian Council Healthcare Standards
Bernie Harrison - Australian Council Healthcare StandardsBernie Harrison - Australian Council Healthcare Standards
Bernie Harrison - Australian Council Healthcare Standards
 
Yhahsn case study 2 13 oct14
Yhahsn case study 2 13 oct14Yhahsn case study 2 13 oct14
Yhahsn case study 2 13 oct14
 

Recently uploaded

VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591adityaroy0215
 
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...Call Girls Noida
 
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service Gurgaon
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service GurgaonCall Girl Gurgaon Saloni 9711199012 Independent Escort Service Gurgaon
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service GurgaonCall Girls Service Gurgaon
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅gragmanisha42
 
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591adityaroy0215
 
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Miss joya
 
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Sheetaleventcompany
 
Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...
Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...
Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...Call Girls Noida
 
💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋Sheetaleventcompany
 
Basics of Anatomy- Language of Anatomy.pptx
Basics of Anatomy- Language of Anatomy.pptxBasics of Anatomy- Language of Anatomy.pptx
Basics of Anatomy- Language of Anatomy.pptxAyush Gupta
 
Jalandhar Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...
Jalandhar  Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...Jalandhar  Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...
Jalandhar Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...Call Girls Service Chandigarh Ayushi
 
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...High Profile Call Girls Chandigarh Aarushi
 
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...Niamh verma
 
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...Gfnyt.com
 
Hot Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In Chandigarh
Hot  Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In ChandigarhHot  Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In Chandigarh
Hot Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In ChandigarhVip call girls In Chandigarh
 

Recently uploaded (20)

VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
 
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
 
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service Gurgaon
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service GurgaonCall Girl Gurgaon Saloni 9711199012 Independent Escort Service Gurgaon
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service Gurgaon
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
 
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
 
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
 
Call Girl Lucknow Gauri 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
Call Girl Lucknow Gauri 🔝 8923113531  🔝 🎶 Independent Escort Service LucknowCall Girl Lucknow Gauri 🔝 8923113531  🔝 🎶 Independent Escort Service Lucknow
Call Girl Lucknow Gauri 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
 
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
 
Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...
Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...
Vip sexy Call Girls Service In Sector 137,9999965857 Young Female Escorts Ser...
 
💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Mumbai Escort Service Call Girls, ₹5000 To 25K With AC💚😋
 
Basics of Anatomy- Language of Anatomy.pptx
Basics of Anatomy- Language of Anatomy.pptxBasics of Anatomy- Language of Anatomy.pptx
Basics of Anatomy- Language of Anatomy.pptx
 
Jalandhar Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...
Jalandhar  Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...Jalandhar  Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...
Jalandhar Female Call Girls Contact Number 9053900678 💚Jalandhar Female Call...
 
College Call Girls Dehradun Kavya 🔝 7001305949 🔝 📍 Independent Escort Service...
College Call Girls Dehradun Kavya 🔝 7001305949 🔝 📍 Independent Escort Service...College Call Girls Dehradun Kavya 🔝 7001305949 🔝 📍 Independent Escort Service...
College Call Girls Dehradun Kavya 🔝 7001305949 🔝 📍 Independent Escort Service...
 
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
 
Call Girl Dehradun Aashi 🔝 7001305949 🔝 💃 Independent Escort Service Dehradun
Call Girl Dehradun Aashi 🔝 7001305949 🔝 💃 Independent Escort Service DehradunCall Girl Dehradun Aashi 🔝 7001305949 🔝 💃 Independent Escort Service Dehradun
Call Girl Dehradun Aashi 🔝 7001305949 🔝 💃 Independent Escort Service Dehradun
 
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
 
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...
 
Hot Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In Chandigarh
Hot  Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In ChandigarhHot  Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In Chandigarh
Hot Call Girl In Chandigarh 👅🥵 9053'900678 Call Girls Service In Chandigarh
 
Call Girls in Lucknow Esha 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
Call Girls in Lucknow Esha 🔝 8923113531  🔝 🎶 Independent Escort Service LucknowCall Girls in Lucknow Esha 🔝 8923113531  🔝 🎶 Independent Escort Service Lucknow
Call Girls in Lucknow Esha 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
 

Patient safety thinking differently

  • 1. Patient safety: thinking differently Exploring the challenges in patient safety improvement from national, local and personal perspectives Frances Healey, RGN, RMN, PhD Head of Patient Safety Insight, NHS England 4 December 2014
  • 2. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 3. Around 12,000,000 incidents have been reported. Approximately 4,000 incidents are reported to the NRLS per day Around 94% of incidents cause low or no harm 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 Oct - Dec 2003 Apr - Jun 2004 Oct - Dec 2004 Apr - Jun 2005 Oct - Dec 2005 Apr - Jun 2006 Oct - Dec 2006 Apr - Jun 2007 Oct - Dec 2007 Apr - Jun 2008 Oct - Dec 2008 Apr - Jun 2009 Oct - Dec 2009 Apr - Jun 2010 Oct - Dec 2010 Apr - Jun 2011 Oct - Dec 2011 Incidents submitted
  • 4. Scale of the problem: reported incidents • Each report an opportunity to learn: 68% no harm & 25% low harm • But each report also represents actual or potential distress or harm to patients and concern from staff NRLS Quarterly Data workbooks April 2012 – March 2013 England data: 1,353,430 incidents in total Other Patient abuse (by third party/staff) Infection Control Incident Medical device / equipment Disruptive, aggressive behaviour Self-harming behaviour Consent, communication, confidentiality Clinical assessment & diagnosis Infrastructure Documentation Access, admission, transfer, discharge Medication Treatment, procedure Implementation of care Patient accident 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000
  • 5. “But we are interested in future harm, not past harm” • We need to embrace the challenges and opportunities set out by the Health Foundation’s The measurement and monitoring of patient safety • But past harm matters because: – The NHS today is not so very different from the NHS earlier this year; our processes, pressures, patient groups, staff, buildings, equipment, and training will not have radically changed since the period these data are drawn from – Therefore the patterns of human error, and poorly designed systems that fail to prevent harm reaching the patient, are likely to recur until we make improvements
  • 6. Don’t count incident reports, read them….
  • 7. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 8. National Patient Safety Alerting System (NaPSAS) www.england.nhs.uk • A new system launched in January 2014 for alerting the NHS to emerging patient safety risks • Builds on the best elements of the former National Patient Safety Agency (NPSA) system • A three-stage alerting system based on other high risk industries such as aviation
  • 9. NRLS death & severe Potential new risks received from: Coroners NHS staff Professional bodies Clinical audit/mortality Public/patients Other national organisations NO ACTION - risk not significant - action already underway - action not feasible Resolution: FOR ACTION BY OTHERS Information handed over NaPSAS ALERT 1. Warning 2. Resource 3. Directive FOR OTHER ACTION e.g. social movements, collaboratives, education, etc. Triage: Discussion Information gathering Detailed insight from expert groups Decision
  • 11. Works with differing levels of organisational maturity A. Why waste our time on safety? B. We do something when we have an incident C. We have systems in place to manage all identified risks D. We are always on the alert for risks that might emerge E. Risk management is an integral part of everything that we do PATHOLOGICAL REACTIVE BUREAUCRATIC PROACTIVE GENERATIVE The Manchester Patient Safety Assessment Framework
  • 12. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 13. Scale of the problem: death & severe harm 19% 17% 14% 8% 6% 6% 6% 5% 9% Suicide/severe self harm Fall (hip #/sub-dural) Pressure ulcer grade 4 Treatment error or delay Obstetric-specific incident Operation/procedure related Clinical diagnostic error/delay Missed deterioration Medication incident Healthcare associated infection Pulmonary embolus Test results not acted on Transfer or discharge incident Other/unclear NRLS post clinical review (after clear reporting errors excluded) April 2013-March 2014 England data: 8,018 incidents Over 8,000 reported fatal or severe harm incidents each year
  • 14. Scale of the problem: other sources • Around 4,400 people commit suicide each year; 27% are known to mental health services; most are known to GPs • 4,849 deaths related to VTE within 120 days of hospital admission (for reasons other than VTE) each year • 9,500 patients with grade 2/3/4 pressure ulcers on each monthly survey • Around 3,000 hip fractures from falls in hospitals each year identified by the National Hip Fracture database NCISH 2014 report - HSCIC NHS OF Aug 2014 - Safety Thermometer Sept 2014 – NHFD 2014 report Suicides - England 2002-2012 The largest areas of harm remain large because they are ‘wicked problems’ which need complex, wide-ranging and sustained improvement efforts
  • 16. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 17. 17 • 5% of deaths potentially avoidable Median age 80 years Main problem types: • Clinical monitoring (in the broad sense) 31% • Diagnostic error & delay 30% • Fluids and medication 21% • Average 4 problems in healthcare per avoidable death
  • 18. Patient Safety Incident Not classic Swiss cheese “bull’s eye”
  • 19. Patient Cumulative effect of more minor harms “death by a thousand cuts”
  • 20. Are you confident potentially avoidable deaths discussed in mortality meetings are reported as incidents and known to your Board?
  • 21. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 22. Acute care settings: patient age within death and severe harm incidents 22 21% 27% 17% 9% 6% 7% 6% 3% 4% Over 85 years 76 to 85 years 66 to 75 years 56 to 65 years 46 to 55 years 36 to 45 years 26 to 35 years 18 to 25 years Under 17 years NRLS post clinical review (after clear reporting errors excluded) April 2013-March 2014 England data
  • 23.
  • 24. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 25. 25
  • 26. 26
  • 27.
  • 28. And the response to NHS Choices publication?
  • 29. 29
  • 31. 31www.england.nhs.uk “The results at that stage showed a slight numerical advantage for those who had been treated at home. It was of course completely insignificant statistically. “I rather wickedly compiled two reports, one reversing the numbers of deaths on the two sides of the trial. As we were going into committee, in the anteroom, I showed some cardiologists the results……..
  • 32. 32 “……they were vociferous in their abuse: `Archie’, they said, `we always thought you were unethical. You must stop the trial at once…’ “I let them have their say for some time and then apologised and gave them the true results, challenging them to say, as vehemently, that coronary care units should be stopped immediately. “There was dead silence and I felt rather sick because they were, after all, my medical colleagues.” Professor Archibald Cochrane & Max Blythe One Man's Medicine (1989) p.211
  • 34. Patient Safety ’Fellows’ Patient Safety Collaboratives A system devoted to continual learning and improvement NRLS NaPSAS Data Transparency Retrospective case note review Vulnerable groups Vulnerable points of care Key types of harm and reduce harm by 50% SAFE team NHSEngland’sIntegratedPatient SafetyStrategyfortheNHS www.england.nhs.uk
  • 35.
  • 36. http://m.qualitysafety.bmj.com/content/23/11/880.full "The consistent delivery of well-executed safe care under typically difficult circumstances tends to go unrecognised"