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www.england.nhs.uk
Patient safety data
or patient safety
intelligence?
Dr Frances Healey
RGN, RMN, PhD
Head of Patient Safety Insight
NHS England
6 July 2015
www.england.nhs.uk
1st rule of #statisticsclub
Qualitative data are at least equally important, and probably
much more important, than quantitative data…..
2
….. but it’s quantitative data that have the pitfalls & perils,
so that is my focus today
www.england.nhs.uk 3
www.england.nhs.uk 4
www.england.nhs.uk 5
Dammit Jim,
I’m a doctor,
not a rocket
scientist
Dammit
Frances, I’m
a nurse, not
statistician
www.england.nhs.uk
2nd rule of #statisticsclub
You are probably much less logical than you
think you are
6
www.england.nhs.uk
http://blogs.bmj.com/bmj/2014/05/09/tara-lamont-on-failing-well-
archie-cochranes-legacy/
@TaraJLamont
Archie Cochrane
7
7
www.england.nhs.uk 8www.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……..
www.england.nhs.uk 9
“……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
www.england.nhs.uk
Cognitive dissonance
10
• We have a strong need for our personal beliefs and
our personal actions to chime
• The discomfort we feel when they don’t is ‘cognitive
dissonance’
http://britishgeriatricssociety.
wordpress.com/2013/05/16/
all-down-to-numbers/
• If we believe we are part of
effective, motivated, caring
teams, it is very hard to also
simultaneously believe:
o We haven’t achieved real
improvements in safety
o We might be less safe than
peers
www.england.nhs.uk 11
http://www.health.org.uk/multimedia/slideshow/hard-data-soft-intelligence/
Data (mis)used for reassurance
www.england.nhs.uk
Which is not to say we shouldn’t
use data for motivation
“The consistent delivery of well-executed safe care under typically
difficult circumstances tends to go unrecognised"
www.england.nhs.uk 13
www.england.nhs.uk
3rd rule of #statisticsclub
One size does not fit all - there is no such thing as a good
indicator, or a good data source, just one that is good in
particular situation for a particular purpose
14
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
500000
Oct -
Dec
2003
Jul -
Sep
2004
Apr -
Jun
2005
Jan -
Mar
2006
Oct -
Dec
2006
Jul -
Sep
2007
Apr -
Jun
2008
Jan -
Mar
2009
Oct -
Dec
2009
Jul -
Sep
2010
Apr -
Jun
2011
Jan -
Mar
2012
Oct -
Dec
2012
Jul -
Sep
2013
Apr -
Jun
2014
IncidentsSubmitted
www.england.nhs.uk 15
 CULTURE indicators
 STRUCTURE indicators
 PROCESS indicators
planning process indicators
delivery process indicators
 OUTCOME indicators Are we
safe
today?
Types of indicator
www.england.nhs.uk
Our high tech interactive facility
16
www.england.nhs.uk
What type of indicator?
17
1. CULTURE indicator
2. STRUCTURE indicator
3. PROCESS - planning process indicator
4. PROCESS - delivery process indicator
5. OUTCOME indicator
97% of patients who need a pressure reliving
mattress received it within four hours
www.england.nhs.uk
What type of indicator?
18
1. CULTURE indicator
2. STRUCTURE indicator
3. PROCESS - planning process indicator
4. PROCESS - delivery process indicator
5. OUTCOME indicator
86% of nurses agree that most pressure ulcers
can be prevented
www.england.nhs.uk
What type of indicator?
19
1. CULTURE indicator
2. STRUCTURE indicator
3. PROCESS - planning process indicator
4. PROCESS - delivery process indicator
5. OUTCOME indicator
We have 42 pressure relieving mattresses per
100 beds
www.england.nhs.uk
4th rule of #statisticsclub
We don’t do structural measurement
nearly often enough
20
30%
9%
26%
35%
on all wards
on most
wards
on one or
some wards
not on any
wards
“This [MH unit for older
people] has no physio input.
Balance and strength
assessments never get
done”
“We cannot put walking
frames within reach as there
is no room left once you
have a chair beside the bed”
Royal College of Physicians 2012
Report of the 2011 inpatient falls pilot
audit www.rcplondon.ac.uk
Weekend access to mobility
aids for new patients
www.england.nhs.uk
Purposes of safety measurement
21
One often used model:
measurement for research
measurement for judgement
measurement for improvement
Alternative less prone to misunderstanding
measurement to understand priorities
measurement to see how we compare to others
measurement to see if we’re getting better (or worse)
www.england.nhs.uk
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90-94
95-99
100+
% of all
reported
acute falls
Age group
Breakdown by age of falls in acute
clusters
0%
1%
2%
3%
4%
5%
6%
00 (12 AM -
Midnight)
01 (1 AM)02 (2 AM)03 (3 AM)04 (4 AM)05 (5 AM)06 (6 AM)07 (7 AM)08 (8 AM)09 (9 AM)10 (10 AM)11 (11 AM)12 (12 PM -
Midday)
13 (1 PM)14 (2 PM)15 (3 PM)16 (4 PM)17 (5 PM)18 (6 PM)19 (7 PM)20 (8 PM)21 (9 PM)22 (10 PM)23 (11 PM)
% of all reported
acute falls
Hour
Falls incidents by hour of occurrence, for acute
clusters
Understanding priority areas
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Acute hospitals Community hospitals Mental health units
Location of incident
Percentofsample
Apparently unwitnessed by staff
Witnessed by staff
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Acute hospitals Community hospitals Mental health units
Location of incident
Percentofsample
Apparently unwitnessed by staff
Witnessed by staff
0%
5%
10%
15%
20%
25%
30%
35%
Acute hospitals Community hospitals Mental health units
0%
5%
10%
15%
20%
25%
30%
35%
Acute hospitals Community hospitals Mental health units
www.england.nhs.uk
5th rule of #statisticsclub
Measurement to see how we compare to
others: when it comes to comparing
outcomes, case mix really matters
23
(but case mix shouldn't be
a problem for well-designed
process measures)
www.england.nhs.uk
Safety outcomes & case mix
0%
5%
10%
15%
20%
25%
0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 100+
Age of patient (years)
0%
5%
10%
15%
20%
25%
0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 100+
Age of patient (years)
85 years +
Deandra S et al. Arch Gerontol Geriatr 56 (2013) 407–415
NPSA Slips trips and falls in hospital data update NPSA 2010
Risk factors for hospital falls Odds Ratio
History of falls 2.85 (1.14–7.15)
Cognitive impairment 1.52 (1.18–1.94)
www.england.nhs.uk
Older people are not evenly distributed
25
Therefore unadjusted higher/lower rates of falls compared to
other trusts with very different age profiles are highly unlikely to
be useful indicators of relative safety
All ages falls rate
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
R
ETIR
EM
ENT
TO
W
N
B
R
ETIR
EM
ENT
TO
W
N
D
R
ETIR
EM
ENT
TO
W
N
A
R
ETIR
EM
ENT
TO
W
N
C
U
RBAN
TEACH
IN
G
B
U
RBAN
TEACH
IN
G
C
U
RBAN
TEACH
IN
G
D
U
RBAN
TEACH
IN
G
A
fallsper1,000beddays
www.england.nhs.uk
50-fold differences between wards
26
Royal College of Physicians 2011 The FallSafe Quality Improvement project: report for the Health Foundation
Therefore higher/lower rates of falls compared to other wards
in the same trust highly unlikely to be useful local indicators
of safety
www.england.nhs.uk
Comparable and non-comparable
safety indicators
www.england.nhs.uk 28
http://britishgeriatricssociety.wordpress.com/2013/12/19/fallsafe-are-culture-
clashes-good-for-us/
0
5000
10000
15000
20000
25000
6th rule of #statisticsclub
Numbers don’t know if they are in research study
or a QI project
www.england.nhs.uk
7th rule of #statisticsclub
When it comes to measuring if we have got
better (or worse) size matters
(and we usually have plentiful processes to
measure but far fewer outcomes)
www.england.nhs.uk 30
www.england.nhs.uk
Sample safety outcome indicators:
scaled to ward-level*
IF these safety outcomes were distributed evenly across
acute wards, an average ward would have around:
• One case of c difficile per year
• One MRSA bloodstream infection per decade
• One new pressure ulcer per quarter
• One fall with minor injury per month
• One fall with hip fracture every five years
* Approximations based on c. 5,000 acute/rehabilitation hospital wards in England, PHE trust
attributed/trust-assigned HCAI data, NRLS reported falls, assumption that acute ‘new’ p ulcer prevalence
as measured by ST represents about 4 x acute p ulcer incidence
www.england.nhs.uk
What scale and time would give you
a reasonable chance of being able to
distinguish a 25% improvement from
natural variation ?
32
For falls with injury
1. One ward two years
2. Ten wards two years
3. One medium sized hospital two years
4. Five hospitals two years
5. Fifty hospitals two years
www.england.nhs.uk
What scale and time would give you
a reasonable chance of being able to
distinguish a 25% improvement from
natural variation ?
33
For hospital-associated MRSA?
1. One ward two years
2. Ten wards two years
3. One medium sized hospital two years
4. Five hospitals two years
5. Fifty hospitals two years
www.england.nhs.uk 34
Collaboration is not just good for
learning, it increases sample size
www.england.nhs.uk
8th rule of #statisticsclub
Your data don’t have to be perfect to be good
enough – but you do need to know how
imperfect they are
35
www.england.nhs.uk
0
2
4
6
8
10
12
14
16
60% certain
last fall was
reported
77% certain
last fall was
reported
0
2
4
6
8
10
12
14
16
0
2
4
6
8
10
12
14
16
www.england.nhs.uk
9th rule of #statisticsclub
If it looks too good to be true, it probably is!
37
0
10
20
30
40
50
60
70
80
Jan Mar May Aug Nov Oct Aug Oct Dec Feb Apr Jun Aug Oct Dec
2008 2009 2010 2011
www.england.nhs.uk
10th rule of #statisticsclub
Don’t try to measure too much
38
www.england.nhs.uk
www.england.nhs.uk
www.england.nhs.uk
www.england.nhs.uk
85%
15%
time spent improving
time spent measuring
www.england.nhs.uk
Thank you for listening
frances.healey@nhs.net
@FrancesHealey
Please tweet
further #statisticsclub
rules of your own

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2015 july06 psc frances healey ps data or ps intelligence 30 mins

  • 1. www.england.nhs.uk Patient safety data or patient safety intelligence? Dr Frances Healey RGN, RMN, PhD Head of Patient Safety Insight NHS England 6 July 2015
  • 2. www.england.nhs.uk 1st rule of #statisticsclub Qualitative data are at least equally important, and probably much more important, than quantitative data….. 2 ….. but it’s quantitative data that have the pitfalls & perils, so that is my focus today
  • 5. www.england.nhs.uk 5 Dammit Jim, I’m a doctor, not a rocket scientist Dammit Frances, I’m a nurse, not statistician
  • 6. www.england.nhs.uk 2nd rule of #statisticsclub You are probably much less logical than you think you are 6
  • 8. www.england.nhs.uk 8www.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……..
  • 9. www.england.nhs.uk 9 “……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
  • 10. www.england.nhs.uk Cognitive dissonance 10 • We have a strong need for our personal beliefs and our personal actions to chime • The discomfort we feel when they don’t is ‘cognitive dissonance’ http://britishgeriatricssociety. wordpress.com/2013/05/16/ all-down-to-numbers/ • If we believe we are part of effective, motivated, caring teams, it is very hard to also simultaneously believe: o We haven’t achieved real improvements in safety o We might be less safe than peers
  • 12. www.england.nhs.uk Which is not to say we shouldn’t use data for motivation “The consistent delivery of well-executed safe care under typically difficult circumstances tends to go unrecognised"
  • 14. www.england.nhs.uk 3rd rule of #statisticsclub One size does not fit all - there is no such thing as a good indicator, or a good data source, just one that is good in particular situation for a particular purpose 14 0 50000 100000 150000 200000 250000 300000 350000 400000 450000 500000 Oct - Dec 2003 Jul - Sep 2004 Apr - Jun 2005 Jan - Mar 2006 Oct - Dec 2006 Jul - Sep 2007 Apr - Jun 2008 Jan - Mar 2009 Oct - Dec 2009 Jul - Sep 2010 Apr - Jun 2011 Jan - Mar 2012 Oct - Dec 2012 Jul - Sep 2013 Apr - Jun 2014 IncidentsSubmitted
  • 15. www.england.nhs.uk 15  CULTURE indicators  STRUCTURE indicators  PROCESS indicators planning process indicators delivery process indicators  OUTCOME indicators Are we safe today? Types of indicator
  • 16. www.england.nhs.uk Our high tech interactive facility 16
  • 17. www.england.nhs.uk What type of indicator? 17 1. CULTURE indicator 2. STRUCTURE indicator 3. PROCESS - planning process indicator 4. PROCESS - delivery process indicator 5. OUTCOME indicator 97% of patients who need a pressure reliving mattress received it within four hours
  • 18. www.england.nhs.uk What type of indicator? 18 1. CULTURE indicator 2. STRUCTURE indicator 3. PROCESS - planning process indicator 4. PROCESS - delivery process indicator 5. OUTCOME indicator 86% of nurses agree that most pressure ulcers can be prevented
  • 19. www.england.nhs.uk What type of indicator? 19 1. CULTURE indicator 2. STRUCTURE indicator 3. PROCESS - planning process indicator 4. PROCESS - delivery process indicator 5. OUTCOME indicator We have 42 pressure relieving mattresses per 100 beds
  • 20. www.england.nhs.uk 4th rule of #statisticsclub We don’t do structural measurement nearly often enough 20 30% 9% 26% 35% on all wards on most wards on one or some wards not on any wards “This [MH unit for older people] has no physio input. Balance and strength assessments never get done” “We cannot put walking frames within reach as there is no room left once you have a chair beside the bed” Royal College of Physicians 2012 Report of the 2011 inpatient falls pilot audit www.rcplondon.ac.uk Weekend access to mobility aids for new patients
  • 21. www.england.nhs.uk Purposes of safety measurement 21 One often used model: measurement for research measurement for judgement measurement for improvement Alternative less prone to misunderstanding measurement to understand priorities measurement to see how we compare to others measurement to see if we’re getting better (or worse)
  • 22. www.england.nhs.uk 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 100+ % of all reported acute falls Age group Breakdown by age of falls in acute clusters 0% 1% 2% 3% 4% 5% 6% 00 (12 AM - Midnight) 01 (1 AM)02 (2 AM)03 (3 AM)04 (4 AM)05 (5 AM)06 (6 AM)07 (7 AM)08 (8 AM)09 (9 AM)10 (10 AM)11 (11 AM)12 (12 PM - Midday) 13 (1 PM)14 (2 PM)15 (3 PM)16 (4 PM)17 (5 PM)18 (6 PM)19 (7 PM)20 (8 PM)21 (9 PM)22 (10 PM)23 (11 PM) % of all reported acute falls Hour Falls incidents by hour of occurrence, for acute clusters Understanding priority areas 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Acute hospitals Community hospitals Mental health units Location of incident Percentofsample Apparently unwitnessed by staff Witnessed by staff 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Acute hospitals Community hospitals Mental health units Location of incident Percentofsample Apparently unwitnessed by staff Witnessed by staff 0% 5% 10% 15% 20% 25% 30% 35% Acute hospitals Community hospitals Mental health units 0% 5% 10% 15% 20% 25% 30% 35% Acute hospitals Community hospitals Mental health units
  • 23. www.england.nhs.uk 5th rule of #statisticsclub Measurement to see how we compare to others: when it comes to comparing outcomes, case mix really matters 23 (but case mix shouldn't be a problem for well-designed process measures)
  • 24. www.england.nhs.uk Safety outcomes & case mix 0% 5% 10% 15% 20% 25% 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 100+ Age of patient (years) 0% 5% 10% 15% 20% 25% 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 100+ Age of patient (years) 85 years + Deandra S et al. Arch Gerontol Geriatr 56 (2013) 407–415 NPSA Slips trips and falls in hospital data update NPSA 2010 Risk factors for hospital falls Odds Ratio History of falls 2.85 (1.14–7.15) Cognitive impairment 1.52 (1.18–1.94)
  • 25. www.england.nhs.uk Older people are not evenly distributed 25 Therefore unadjusted higher/lower rates of falls compared to other trusts with very different age profiles are highly unlikely to be useful indicators of relative safety All ages falls rate 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 R ETIR EM ENT TO W N B R ETIR EM ENT TO W N D R ETIR EM ENT TO W N A R ETIR EM ENT TO W N C U RBAN TEACH IN G B U RBAN TEACH IN G C U RBAN TEACH IN G D U RBAN TEACH IN G A fallsper1,000beddays
  • 26. www.england.nhs.uk 50-fold differences between wards 26 Royal College of Physicians 2011 The FallSafe Quality Improvement project: report for the Health Foundation Therefore higher/lower rates of falls compared to other wards in the same trust highly unlikely to be useful local indicators of safety
  • 29. www.england.nhs.uk 7th rule of #statisticsclub When it comes to measuring if we have got better (or worse) size matters (and we usually have plentiful processes to measure but far fewer outcomes)
  • 31. www.england.nhs.uk Sample safety outcome indicators: scaled to ward-level* IF these safety outcomes were distributed evenly across acute wards, an average ward would have around: • One case of c difficile per year • One MRSA bloodstream infection per decade • One new pressure ulcer per quarter • One fall with minor injury per month • One fall with hip fracture every five years * Approximations based on c. 5,000 acute/rehabilitation hospital wards in England, PHE trust attributed/trust-assigned HCAI data, NRLS reported falls, assumption that acute ‘new’ p ulcer prevalence as measured by ST represents about 4 x acute p ulcer incidence
  • 32. www.england.nhs.uk What scale and time would give you a reasonable chance of being able to distinguish a 25% improvement from natural variation ? 32 For falls with injury 1. One ward two years 2. Ten wards two years 3. One medium sized hospital two years 4. Five hospitals two years 5. Fifty hospitals two years
  • 33. www.england.nhs.uk What scale and time would give you a reasonable chance of being able to distinguish a 25% improvement from natural variation ? 33 For hospital-associated MRSA? 1. One ward two years 2. Ten wards two years 3. One medium sized hospital two years 4. Five hospitals two years 5. Fifty hospitals two years
  • 34. www.england.nhs.uk 34 Collaboration is not just good for learning, it increases sample size
  • 35. www.england.nhs.uk 8th rule of #statisticsclub Your data don’t have to be perfect to be good enough – but you do need to know how imperfect they are 35
  • 36. www.england.nhs.uk 0 2 4 6 8 10 12 14 16 60% certain last fall was reported 77% certain last fall was reported 0 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 14 16
  • 37. www.england.nhs.uk 9th rule of #statisticsclub If it looks too good to be true, it probably is! 37 0 10 20 30 40 50 60 70 80 Jan Mar May Aug Nov Oct Aug Oct Dec Feb Apr Jun Aug Oct Dec 2008 2009 2010 2011
  • 38. www.england.nhs.uk 10th rule of #statisticsclub Don’t try to measure too much 38
  • 43. www.england.nhs.uk Thank you for listening frances.healey@nhs.net @FrancesHealey Please tweet further #statisticsclub rules of your own