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Modelling your way out of the poo
Forecasting costs and outcomes of bowel cancer

David Halsall, John Osmond and
Laura Bown
NHS England Analytical
Services
Background to the problem

So what is the problem with bowel cancer?
• 325,000 people diagnosed with cancer in the UK in 2010,
half of them will die of the disease. A third of people will
develop cancer in their lifetime
• There has been a 35% increase in incidence since 1970s,
largely related to lifestyle and improvements in other
conditions e.g. heart disease.

• Bowel cancer survival is poor compared to other countries
which is largely down to late presentation.
• Current polices to address this poor performance are based
around screening and better awareness.
• We want to model how current policies will feed through to
the better outcomes and estimate how much it will cost over
a 5 -10 year period.
Background of cancer

One in three of us will get cancer in our lifetime
One in three people can expect to have a
cancer diagnosis at some time in their life.
This cancer incidence rate is average for
north Europe, higher than western Europe
and lower than the US and Canada

For many cancers having a healthy lifestyle
can reduce the risk of getting the disease.
Tobacco, being over weight, low fruit & veg & alcohol
are known risk factors for cancer. Most of lung
cancers and half of bowel cancers could be
preventable by lifestyle
New cases of cancer 2000 & 2010 by age
60,000

Lung 13%

Breast 15%

Colorectum 13%
Prostate 13%

New cases of cancer

40,000

30,000

2010

2000

50,000

Male =
Female =

20,000

10,000

0-19

Four cancer types are responsible for half of new
cases reported each year. Leukaemia, brain,
melanoma, ovary, uterus lymphoma & pancreas
make up the next most frequent sites. There are a
further 20 sites of rarer cancers.

20-64

65-74

75+

Lifestyle choices and improved treatment for
cardiovascular conditions is leading to an increase in
the incidence of cancer. Soon over 2 million people will
have had a cancer diagnosis.
Background of cancer

Cancer survival is improving but England is still lagging by
international comparisons
Over the past 30 years the chances of surviving five
years after diagnosis has doubled for breast and bowel
cancer. Some cancers, such as lung, are particularly
hard to treat and progress has been much slower.

Colorectal cancer, five-year relative
survival rate by sex, 2004-09 (or nearest period)

Five year cancer survival

Despite this improvement England and the UK have
lagged behind comparator countries but current
strategies aim to halve the difference between England
and the average of Australia, New Zealand Canada.
Health at a Glance 2011: OECD Indicators
Background of cancer

Biology of cancer – slow start & explosive finish

Generic

Stage 1

Stage 2

Stage 3

Stage 4

(Bowel)

(Duke A)

(Duke B)

(Duke C)

(Duke D)

Symptoms and the first
opportunity for imaging
diagnosis

Cut off point for curative
treatment

If you die of cancer
you will have around
1kg of cancer cells in
your body
Why are UK cancer outcomes poor

Why is cancer survival poor in the UK?
• Why is survival poor in in the UK?
The excess of very early deaths the UK suggests late
diagnosis plays a major part of the story

Why is survival poordiagnosedUK?
in the as emergency
• Around 25% of cancers are

admission in A&E. Many of these patients may only live for
a couple of weeks after first diagnosis

• It is likely that late presentation by patients, late
investigation and/or onward referral and suboptimal primary
treatment all play a part in the explanation. But the sooner
treatment is started the better the outcome
Colon cancer: all-ages, one-year net
•
survival by stage of first diganosis
A
B
C
D
98.3%
90.8%
78.1%
36.7%

Colon cancer: all-ages, one-year net survival* (NS, %) by stage at diagnosis ECRIC cancer registry
Patients diagnosed during 2006 in the cancer registries included in the ICBP analyses
Cancer screening
Cancer screening can spot cancers before symptoms
become apparent.
• Breast and cervical cancer have well established
screening programmes.

• Lung cancer screening may be beneficial for
those who smoke
• Bowel cancer screening was first piloted in 2000
and has rolled out in waves and now offers
screening every two years to all men and women
aged 60 to 69.
• The NHS is now also rolling out bowel scope
screening to all men and women aged 55 to
remove polyps before they become cancerous
• There are no other major cancers which are
routinely screened for.
An abnormal bowel cancer screening test
can lead to the detection of pre-cancerous polyps or
cancer at an earlier stage
Removal of pre-cancerous polyps
can lead to a reduction of
cancer incidence
Dukes stage at
diagnosis
A
B
C
D
Unknown
8

Screendetected
%
27.9
22.7
25.7
6.3
17.4

Crude 1 year survival

96%

Nonparticipant
%
10.4
23.5
26.7
21.0
18.4
77%

Morris et at BJC (2012) 107 757-764
Why are UK cancer outcomes poor

Promptly diagnosing cancer is key to good
outcomes in non-screened patients
Delays in the patient presenting with symptoms
• Most patients present to their GP with symptoms – and most present quite
quickly
• Some patients present symptoms late or never. These patients frequently
report that they were unaware their symptoms could be serious.
• People in the UK (rather than patients) frequently report that they would be
worried about wasting their GPs time.

Delays in diagnosis
• Most patients with cancer are referred promptly by GPs (one or two visits only)
down the rapid access 2 week wait route.
• Some are only referred after multiple visits.
• There are large variations in use of direct access diagnostic tests, such as
chest x-ray between general practices.
• There are large variations in the use (and accuracy of use) of urgent referral
2WW routes
Early detection of cancer

The Be Clear on Cancer advertising
campaign targets those with symptoms
Cost of treating bowel cancer
The lifetime cost of bowel cancer is heavily dependent on
complications and the treatment of secondary cancers

11

Stage of diagnosis

D

C

B

A
Produced by Monitor Company Group, L.P.
for Macmillan cancer support 2012
Modelling the problem
The aim is to increase the proportion of cancers diagnosed at stages A & B
which will improve outcomes but may not reduce costs in the short term
Survival – 1 to 5 years

Screening

12K

Duke A

Stage of
diagnosis
at
MDT*

Total costs

Population

GP
Other

Emergency

Duke B

22K

Duke C

24K

Duke D

2WW

10K

30%
20%

Modelled with discrete
event simulation
* Multi-disciplinary team

10%
0%
Duke Duke Duke Duke
A
B
C
D
Colon cancer 2006 ECRIC

Modelled with Excel based
Stocks and Flow simulation
Modelling the problem

Part 1: Pre First MDT
Screening

3%

A&E
23%

Cancer

96%

76%

Symptoms

GP

Routine

Death

Urgent

1%
1%
Symptoms
Death

National Cancer Intelligence Network, Routes to Diagnosis

MDT
Modelling the problem

What is microsimulation?
Microsimulation models operate at individual unit level, e.g
vehicles on a road, suitcases in an airport. NHS patients can
be modelled in the same way.
Each unit has its own unique set of characteristics. Rules and
probabilities control the movement of these units through the
model. Rules and probabilities can then be changed to assess
the impact of policy interventions.
Example: Pharmacy
Arrival

Queue

Served

Exit
Modelling the problem

The microsimulation model
The model is split into two parts – a microsimulation of the pathway up until
first MDT which gives results of stage of diagnosis. These results are then
linked to costs and survival data
Modelling the problem

Post first MDT treatment pathway
1 – 5 year survival
treatment with curative intent
Stage A

Minor
Surgery

Stage B

treatment with palliative intent

RadioTherapy

MDT
Major
Surgery

Stage C

Stage D

Symptoms ChemoTherapy

ChemoTherapy
Modelling the problem
With in the modelling solution it has been assumed that
cancer survival will continue to improve independent of
funding
Percentage of cases surveing one year

100

Dukes D

80
60

Dukes C

40
20
0

17

Probability of surviving one year by Duke stage used in model

Dukes A
Dukes C
1971-1975 1976-1980 1981-1985 1986-1990 1991-1995 1996-2000 2001-2005 2006-2010 2011-2015 2016-2020 2021-2025

Assumed probability living more than 1 year by cancer stage over time.
Results

The Baseline case shows costs and the number of
in-year deaths both rising
Dukes A
New cases
died
2013
2,995
488
2018
3,252
469
2023
3,510
403

Dukes B
New cases
died
7,336
1,180
7,967
1,140
8,599
1,049

New PC cases
22,986
24,964
26,942

Died
7,033
7,267
7,444

in-year
EME/unstaged cost (£m)
7,462
338
8,104
364
8,746
389

Baseline symptom based bowel cancer
model output
30,000

500

25,000

450

20,000

400

5,000
0

Died in year

300

10,000

New PC cases

350

15,000

Costs

250
2013

2018

2023

Dukes D
New cases
died
5,309
3,650
5,766
3,980
6,222
4,276

Baseline stage of diagnosis

Base line symptom based presentation

2013
2018
2023

Dukes C
New cases died
7,346
1,716
7,979
1,678
8,611
1,716
30%
20%
10%
0%

This shows in the baseline
case in-year deaths from
symptom presentations
rising but at a slower
rate than new cases or cost
Results
The model can predict what will happen over time if we
stage shift the distribution of first diagnosis from D to C

2013
2018
2023

Dukes A
New cases
died
0
0
0
0
0
0

Dukes B
New cases
died
0
0
0
0
0
0

Dukes C
New cases
died
0
0
500
86
1,000
178

Dukes D
New cases
died
0
0
-500
-325
-1,000
-664

live "saved" Cost (£M)

-238
-486

0
1
2

Stage of diagnosis

Assume 100 patients a year
Are shifted from D to C over 10 years

Number of additional cases
above baseline. An additional
100/year cases are shifted
down one stage from Duke’s
D to C by 2023.
This will save 484 lives at an
additional cost of £2m / year
above baseline.
Results
The model can predict what will happen over time if we shift
100 patients from each stage down by one stage.
Net change over baseline
2013
2018
2023

Dukes A
New cases
died
0
0
500
35
1,000
83

Dukes B
New cases
died
0
0
0
0
0
0

Dukes C
New cases
died
0
0
0
0
0
0

30%
25%
20%
Baseline

15%

100/year shift up
10%
5%
0%
Duke A
Baseline
Shifted

10%
13%

Duke B
24%
24%

Duke C
24%
24%

Duke D Unstaged
17%
15%

25%
25%

Assume 100 patients a year are shifted D >C>B>A

Dukes D
New cases
died
0
0
-500
-325
-1,000
-664

live "saved" Cost (£M)

-325
-664

0
0
1

Number of additional cases
above baseline. 100/year
cases are shifted down one
Stage from Duke’s D to C to
B to A by 2023.
This will save 664 lives at an
additional cost of £1m / year
Above baseline .
Summary and Next Steps
• Coarse modelling to demonstrate principle.
• Benefit: 200/300 lives saved per year via earlier diagnosis
by 2018
• 6% of the 5000 lives saved per year required across all
cancers in mortality call to action.
• Cost: Small increase of £1m/£2m per year
• Add appropriate level of detail and repeat in microsimulation.
Questions?

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Modelling your way out of the poo: predicting the impact of early diagnosis of cancer

  • 1. Modelling your way out of the poo Forecasting costs and outcomes of bowel cancer David Halsall, John Osmond and Laura Bown NHS England Analytical Services
  • 2. Background to the problem So what is the problem with bowel cancer? • 325,000 people diagnosed with cancer in the UK in 2010, half of them will die of the disease. A third of people will develop cancer in their lifetime • There has been a 35% increase in incidence since 1970s, largely related to lifestyle and improvements in other conditions e.g. heart disease. • Bowel cancer survival is poor compared to other countries which is largely down to late presentation. • Current polices to address this poor performance are based around screening and better awareness. • We want to model how current policies will feed through to the better outcomes and estimate how much it will cost over a 5 -10 year period.
  • 3. Background of cancer One in three of us will get cancer in our lifetime One in three people can expect to have a cancer diagnosis at some time in their life. This cancer incidence rate is average for north Europe, higher than western Europe and lower than the US and Canada For many cancers having a healthy lifestyle can reduce the risk of getting the disease. Tobacco, being over weight, low fruit & veg & alcohol are known risk factors for cancer. Most of lung cancers and half of bowel cancers could be preventable by lifestyle New cases of cancer 2000 & 2010 by age 60,000 Lung 13% Breast 15% Colorectum 13% Prostate 13% New cases of cancer 40,000 30,000 2010 2000 50,000 Male = Female = 20,000 10,000 0-19 Four cancer types are responsible for half of new cases reported each year. Leukaemia, brain, melanoma, ovary, uterus lymphoma & pancreas make up the next most frequent sites. There are a further 20 sites of rarer cancers. 20-64 65-74 75+ Lifestyle choices and improved treatment for cardiovascular conditions is leading to an increase in the incidence of cancer. Soon over 2 million people will have had a cancer diagnosis.
  • 4. Background of cancer Cancer survival is improving but England is still lagging by international comparisons Over the past 30 years the chances of surviving five years after diagnosis has doubled for breast and bowel cancer. Some cancers, such as lung, are particularly hard to treat and progress has been much slower. Colorectal cancer, five-year relative survival rate by sex, 2004-09 (or nearest period) Five year cancer survival Despite this improvement England and the UK have lagged behind comparator countries but current strategies aim to halve the difference between England and the average of Australia, New Zealand Canada. Health at a Glance 2011: OECD Indicators
  • 5. Background of cancer Biology of cancer – slow start & explosive finish Generic Stage 1 Stage 2 Stage 3 Stage 4 (Bowel) (Duke A) (Duke B) (Duke C) (Duke D) Symptoms and the first opportunity for imaging diagnosis Cut off point for curative treatment If you die of cancer you will have around 1kg of cancer cells in your body
  • 6. Why are UK cancer outcomes poor Why is cancer survival poor in the UK? • Why is survival poor in in the UK? The excess of very early deaths the UK suggests late diagnosis plays a major part of the story Why is survival poordiagnosedUK? in the as emergency • Around 25% of cancers are admission in A&E. Many of these patients may only live for a couple of weeks after first diagnosis • It is likely that late presentation by patients, late investigation and/or onward referral and suboptimal primary treatment all play a part in the explanation. But the sooner treatment is started the better the outcome Colon cancer: all-ages, one-year net • survival by stage of first diganosis A B C D 98.3% 90.8% 78.1% 36.7% Colon cancer: all-ages, one-year net survival* (NS, %) by stage at diagnosis ECRIC cancer registry Patients diagnosed during 2006 in the cancer registries included in the ICBP analyses
  • 7. Cancer screening Cancer screening can spot cancers before symptoms become apparent. • Breast and cervical cancer have well established screening programmes. • Lung cancer screening may be beneficial for those who smoke • Bowel cancer screening was first piloted in 2000 and has rolled out in waves and now offers screening every two years to all men and women aged 60 to 69. • The NHS is now also rolling out bowel scope screening to all men and women aged 55 to remove polyps before they become cancerous • There are no other major cancers which are routinely screened for.
  • 8. An abnormal bowel cancer screening test can lead to the detection of pre-cancerous polyps or cancer at an earlier stage Removal of pre-cancerous polyps can lead to a reduction of cancer incidence Dukes stage at diagnosis A B C D Unknown 8 Screendetected % 27.9 22.7 25.7 6.3 17.4 Crude 1 year survival 96% Nonparticipant % 10.4 23.5 26.7 21.0 18.4 77% Morris et at BJC (2012) 107 757-764
  • 9. Why are UK cancer outcomes poor Promptly diagnosing cancer is key to good outcomes in non-screened patients Delays in the patient presenting with symptoms • Most patients present to their GP with symptoms – and most present quite quickly • Some patients present symptoms late or never. These patients frequently report that they were unaware their symptoms could be serious. • People in the UK (rather than patients) frequently report that they would be worried about wasting their GPs time. Delays in diagnosis • Most patients with cancer are referred promptly by GPs (one or two visits only) down the rapid access 2 week wait route. • Some are only referred after multiple visits. • There are large variations in use of direct access diagnostic tests, such as chest x-ray between general practices. • There are large variations in the use (and accuracy of use) of urgent referral 2WW routes
  • 10. Early detection of cancer The Be Clear on Cancer advertising campaign targets those with symptoms
  • 11. Cost of treating bowel cancer The lifetime cost of bowel cancer is heavily dependent on complications and the treatment of secondary cancers 11 Stage of diagnosis D C B A Produced by Monitor Company Group, L.P. for Macmillan cancer support 2012
  • 12. Modelling the problem The aim is to increase the proportion of cancers diagnosed at stages A & B which will improve outcomes but may not reduce costs in the short term Survival – 1 to 5 years Screening 12K Duke A Stage of diagnosis at MDT* Total costs Population GP Other Emergency Duke B 22K Duke C 24K Duke D 2WW 10K 30% 20% Modelled with discrete event simulation * Multi-disciplinary team 10% 0% Duke Duke Duke Duke A B C D Colon cancer 2006 ECRIC Modelled with Excel based Stocks and Flow simulation
  • 13. Modelling the problem Part 1: Pre First MDT Screening 3% A&E 23% Cancer 96% 76% Symptoms GP Routine Death Urgent 1% 1% Symptoms Death National Cancer Intelligence Network, Routes to Diagnosis MDT
  • 14. Modelling the problem What is microsimulation? Microsimulation models operate at individual unit level, e.g vehicles on a road, suitcases in an airport. NHS patients can be modelled in the same way. Each unit has its own unique set of characteristics. Rules and probabilities control the movement of these units through the model. Rules and probabilities can then be changed to assess the impact of policy interventions. Example: Pharmacy Arrival Queue Served Exit
  • 15. Modelling the problem The microsimulation model The model is split into two parts – a microsimulation of the pathway up until first MDT which gives results of stage of diagnosis. These results are then linked to costs and survival data
  • 16. Modelling the problem Post first MDT treatment pathway 1 – 5 year survival treatment with curative intent Stage A Minor Surgery Stage B treatment with palliative intent RadioTherapy MDT Major Surgery Stage C Stage D Symptoms ChemoTherapy ChemoTherapy
  • 17. Modelling the problem With in the modelling solution it has been assumed that cancer survival will continue to improve independent of funding Percentage of cases surveing one year 100 Dukes D 80 60 Dukes C 40 20 0 17 Probability of surviving one year by Duke stage used in model Dukes A Dukes C 1971-1975 1976-1980 1981-1985 1986-1990 1991-1995 1996-2000 2001-2005 2006-2010 2011-2015 2016-2020 2021-2025 Assumed probability living more than 1 year by cancer stage over time.
  • 18. Results The Baseline case shows costs and the number of in-year deaths both rising Dukes A New cases died 2013 2,995 488 2018 3,252 469 2023 3,510 403 Dukes B New cases died 7,336 1,180 7,967 1,140 8,599 1,049 New PC cases 22,986 24,964 26,942 Died 7,033 7,267 7,444 in-year EME/unstaged cost (£m) 7,462 338 8,104 364 8,746 389 Baseline symptom based bowel cancer model output 30,000 500 25,000 450 20,000 400 5,000 0 Died in year 300 10,000 New PC cases 350 15,000 Costs 250 2013 2018 2023 Dukes D New cases died 5,309 3,650 5,766 3,980 6,222 4,276 Baseline stage of diagnosis Base line symptom based presentation 2013 2018 2023 Dukes C New cases died 7,346 1,716 7,979 1,678 8,611 1,716 30% 20% 10% 0% This shows in the baseline case in-year deaths from symptom presentations rising but at a slower rate than new cases or cost
  • 19. Results The model can predict what will happen over time if we stage shift the distribution of first diagnosis from D to C 2013 2018 2023 Dukes A New cases died 0 0 0 0 0 0 Dukes B New cases died 0 0 0 0 0 0 Dukes C New cases died 0 0 500 86 1,000 178 Dukes D New cases died 0 0 -500 -325 -1,000 -664 live "saved" Cost (£M) -238 -486 0 1 2 Stage of diagnosis Assume 100 patients a year Are shifted from D to C over 10 years Number of additional cases above baseline. An additional 100/year cases are shifted down one stage from Duke’s D to C by 2023. This will save 484 lives at an additional cost of £2m / year above baseline.
  • 20. Results The model can predict what will happen over time if we shift 100 patients from each stage down by one stage. Net change over baseline 2013 2018 2023 Dukes A New cases died 0 0 500 35 1,000 83 Dukes B New cases died 0 0 0 0 0 0 Dukes C New cases died 0 0 0 0 0 0 30% 25% 20% Baseline 15% 100/year shift up 10% 5% 0% Duke A Baseline Shifted 10% 13% Duke B 24% 24% Duke C 24% 24% Duke D Unstaged 17% 15% 25% 25% Assume 100 patients a year are shifted D >C>B>A Dukes D New cases died 0 0 -500 -325 -1,000 -664 live "saved" Cost (£M) -325 -664 0 0 1 Number of additional cases above baseline. 100/year cases are shifted down one Stage from Duke’s D to C to B to A by 2023. This will save 664 lives at an additional cost of £1m / year Above baseline .
  • 21. Summary and Next Steps • Coarse modelling to demonstrate principle. • Benefit: 200/300 lives saved per year via earlier diagnosis by 2018 • 6% of the 5000 lives saved per year required across all cancers in mortality call to action. • Cost: Small increase of £1m/£2m per year • Add appropriate level of detail and repeat in microsimulation.