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What can prescribing data
tell us about FLS?
Findings from a new analysis’
3 March 2017
2
Source data
Prescribing data for all CCGs in England is freely
available in easily downloadable files:
https://openprescribing.net/
CCG registered population data is available from:
http://content.digital.nhs.uk/catalogue/
3
This analysis (1)
Looked at a range of data for 44 months, from Apr
2013 to Nov 2016. Available data include:
•All major medicines prescribed for osteoporosis
•Cost
•Number of items
•Quantity per item
•Month of prescription
•CCG
Note: the data are for medicines prescribed in primary
care only
4
This analysis (2)
Using these data we were able to estimate the
number of patients on treatment for each month.
Population data were added to create rates of patients
on treatments for the population aged 50 and over for
each CCG. This is the denominator in every chart in
this presentation
This analysis has yielded a number of findings
5
‘Chemicals’ included
Alendronic Acid
Denosumab
Ibandronic Acid
Risedronate
Alendronic Acid plus
Colecalciferol
Zolendronic Acid
Other Bisphosphonate
6
Treatments have changed little
Table shows % of patients on treatment by chemical
Chemical 2013 2014 2015 2016
Alendronic Acid 88.2% 88.2% 88.2% 88.0%
Denosumab 0.1% 0.2% 0.4% 0.5%
Ibandronic Acid 2.7% 2.5% 2.4% 2.3%
Risedronate 8.7% 8.8% 8.8% 9.0%
Alendronic Acid plus Colecalciferol 0.22% 0.20% 0.17% 0.14%
Zolendronic Acid 0.002% 0.002% 0.002% 0.002%
Other Bisphosphonate 0.01% 0.01% 0.01% 0.01%
Grand Total 100% 100% 100% 100%
7
Denosumab has made inroads in primary
care prescribing/administration
8
Cost per patient year of treatment has
changed little
Table shows average cost per patient year of treatment
Chemical 2013 2014 2015 2016
Alendronic Acid £13.80 £14.64 £15.15 £12.84
Denosumab £187.24 £196.21 £194.91 £192.65
Ibandronic Acid £149.90 £75.39 £55.14 £43.49
Risedronate £29.38 £27.31 £26.88 £23.80
Alendronic Acid plus Colecalciferol £326.97 £321.53 £316.16 £319.20
Zolendronic Acid £189.31 £192.51 £190.81 £170.95
Other Bisphosphonate £366.20 £337.59 £307.96 £339.42
Grand Total £22.33 £23.19 £25.83 £25.84
9
National trend
Notes
10
National trend including confidence
intervals
Notes
11
44 months of decline in rate of PoT
This is equivalent to a decline of around 11.2%. Possible reasons:
Being stopped after 3/5years due to the concerns of the longer term complications
(atypical fractures including in the ear and osteonecrosis of the jaw)
• NICE’s recommendation of discussing stopping after 3 years and NOGGs recommendation
slightly different, as NOGG suggest that patients who go on this ‘drug holiday’ should be
reviewed for fracture risk after 2 years if no fracture in that time (fracture before 2 years =
automatic review) – this is something that is not represented in the NICE pathway for
secondary prevention of Osteoporosis.
• GP’s only have to keep a list of patients who ARE on bisphosphonates. How are GP
surgeries keeping track of all the people they might be stopping for a drug holiday to
review in 2 years? Are people stopped and just not been reviewed again?
Poor adherence to treatment due to:
• Patients perceive that the longer term complications of treatment carry a greater risk that
the complications of another fracture if they didn’t take the bisphosphonates (MHRA
warning etc)
• Administration issues – patients cease to take medication or GPs stopping it as per the
MHRA recommendation that states ‘alendronate, oral ibandronate and risedronate should
be used with caution in patients with active or recent upper gastrointestinal problems’.
12
Bucking the trend – some examples
13
Portsmouth
Notes
14
Oxford
Notes
15
CCG – north of England
Notes
16
Decommissioning?
Notes
17
Will FLS make a difference?
All data from FLS Benefits Calculator and FLS Pathway and Costing Tool
Typical CCG population 300,000
Number of people 50 and over 106,456
FLS cases 1,212
Numbers onto treatment (year) 781
Numbers on treatment at 12 months follow up 625
FLS additional numbers on treatment (year) 312.5
FLS additional numbers on treatment (month) 26.0
18
Will FLS make a difference?
Hypothetical example of a FLS covering 300,000 population typical for England
19
When does the difference show?
Hypothetical example of a FLS covering 300,000 population typical for England
20
Summary (1)
Prescribing data are readily available thanks to
https://openprescribing.net/. These are refreshed
monthly
Population data are readily available and allow us to
create rates of patients on treatment for the target
population
The Charity has this data for every CCG in England
21
Summary (2)
There is a long term and steady decline in rates of
patients on treatment
There are distinctive patterns for CCGs with FLS
services in many cases
Crude models suggest that rate of patients on
treatment per 1000 population 50 and over is useful
measure of effectiveness at a service level
22
Caution
Data is for prescribing in primary care only and does
not tell the whole story
There are large underlying variations in ‘historical’
rates for which we have no explanation
Effective services depend on effective primary care

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What can prescribing data tell us about FLS? Findings from a new analysis - Tim Jones

  • 1. What can prescribing data tell us about FLS? Findings from a new analysis’ 3 March 2017
  • 2. 2 Source data Prescribing data for all CCGs in England is freely available in easily downloadable files: https://openprescribing.net/ CCG registered population data is available from: http://content.digital.nhs.uk/catalogue/
  • 3. 3 This analysis (1) Looked at a range of data for 44 months, from Apr 2013 to Nov 2016. Available data include: •All major medicines prescribed for osteoporosis •Cost •Number of items •Quantity per item •Month of prescription •CCG Note: the data are for medicines prescribed in primary care only
  • 4. 4 This analysis (2) Using these data we were able to estimate the number of patients on treatment for each month. Population data were added to create rates of patients on treatments for the population aged 50 and over for each CCG. This is the denominator in every chart in this presentation This analysis has yielded a number of findings
  • 5. 5 ‘Chemicals’ included Alendronic Acid Denosumab Ibandronic Acid Risedronate Alendronic Acid plus Colecalciferol Zolendronic Acid Other Bisphosphonate
  • 6. 6 Treatments have changed little Table shows % of patients on treatment by chemical Chemical 2013 2014 2015 2016 Alendronic Acid 88.2% 88.2% 88.2% 88.0% Denosumab 0.1% 0.2% 0.4% 0.5% Ibandronic Acid 2.7% 2.5% 2.4% 2.3% Risedronate 8.7% 8.8% 8.8% 9.0% Alendronic Acid plus Colecalciferol 0.22% 0.20% 0.17% 0.14% Zolendronic Acid 0.002% 0.002% 0.002% 0.002% Other Bisphosphonate 0.01% 0.01% 0.01% 0.01% Grand Total 100% 100% 100% 100%
  • 7. 7 Denosumab has made inroads in primary care prescribing/administration
  • 8. 8 Cost per patient year of treatment has changed little Table shows average cost per patient year of treatment Chemical 2013 2014 2015 2016 Alendronic Acid £13.80 £14.64 £15.15 £12.84 Denosumab £187.24 £196.21 £194.91 £192.65 Ibandronic Acid £149.90 £75.39 £55.14 £43.49 Risedronate £29.38 £27.31 £26.88 £23.80 Alendronic Acid plus Colecalciferol £326.97 £321.53 £316.16 £319.20 Zolendronic Acid £189.31 £192.51 £190.81 £170.95 Other Bisphosphonate £366.20 £337.59 £307.96 £339.42 Grand Total £22.33 £23.19 £25.83 £25.84
  • 10. 10 National trend including confidence intervals Notes
  • 11. 11 44 months of decline in rate of PoT This is equivalent to a decline of around 11.2%. Possible reasons: Being stopped after 3/5years due to the concerns of the longer term complications (atypical fractures including in the ear and osteonecrosis of the jaw) • NICE’s recommendation of discussing stopping after 3 years and NOGGs recommendation slightly different, as NOGG suggest that patients who go on this ‘drug holiday’ should be reviewed for fracture risk after 2 years if no fracture in that time (fracture before 2 years = automatic review) – this is something that is not represented in the NICE pathway for secondary prevention of Osteoporosis. • GP’s only have to keep a list of patients who ARE on bisphosphonates. How are GP surgeries keeping track of all the people they might be stopping for a drug holiday to review in 2 years? Are people stopped and just not been reviewed again? Poor adherence to treatment due to: • Patients perceive that the longer term complications of treatment carry a greater risk that the complications of another fracture if they didn’t take the bisphosphonates (MHRA warning etc) • Administration issues – patients cease to take medication or GPs stopping it as per the MHRA recommendation that states ‘alendronate, oral ibandronate and risedronate should be used with caution in patients with active or recent upper gastrointestinal problems’.
  • 12. 12 Bucking the trend – some examples
  • 15. 15 CCG – north of England Notes
  • 17. 17 Will FLS make a difference? All data from FLS Benefits Calculator and FLS Pathway and Costing Tool Typical CCG population 300,000 Number of people 50 and over 106,456 FLS cases 1,212 Numbers onto treatment (year) 781 Numbers on treatment at 12 months follow up 625 FLS additional numbers on treatment (year) 312.5 FLS additional numbers on treatment (month) 26.0
  • 18. 18 Will FLS make a difference? Hypothetical example of a FLS covering 300,000 population typical for England
  • 19. 19 When does the difference show? Hypothetical example of a FLS covering 300,000 population typical for England
  • 20. 20 Summary (1) Prescribing data are readily available thanks to https://openprescribing.net/. These are refreshed monthly Population data are readily available and allow us to create rates of patients on treatment for the target population The Charity has this data for every CCG in England
  • 21. 21 Summary (2) There is a long term and steady decline in rates of patients on treatment There are distinctive patterns for CCGs with FLS services in many cases Crude models suggest that rate of patients on treatment per 1000 population 50 and over is useful measure of effectiveness at a service level
  • 22. 22 Caution Data is for prescribing in primary care only and does not tell the whole story There are large underlying variations in ‘historical’ rates for which we have no explanation Effective services depend on effective primary care