Can%20paying%20for%20outcomes%20be%20effective%20in%20target%20subgroups?%20%20A%20cluster%20controlled%20study%20of%20smoking%20cessation%20pilots%20in%20the%20NHS - PowerPoint PPT Presentation

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Can%20paying%20for%20outcomes%20be%20effective%20in%20target%20subgroups?%20%20A%20cluster%20controlled%20study%20of%20smoking%20cessation%20pilots%20in%20the%20NHS

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Can paying for outcomes be effective in target subgroups? A cluster controlled study of smoking cessation pilots in the NHS Deirdre O Brien, Research Fellow, Health ... – PowerPoint PPT presentation

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Title: Can%20paying%20for%20outcomes%20be%20effective%20in%20target%20subgroups?%20%20A%20cluster%20controlled%20study%20of%20smoking%20cessation%20pilots%20in%20the%20NHS


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Can paying for outcomes be effective in target
subgroups? A cluster controlled study of
smoking cessation pilots in the NHS
  • Deirdre OBrien, Research Fellow, Health
    Economics Unit
  • Co-Authors Hugh McLeod, Steven Wyatt, Mohammed
    A. Mohammed
  • Date 26.06.2013

2
NHS Stop Smoking Services
  • Effective cost-effective
  • Provide behavioural pharmaceutical support
  • Widely rolled out since 2001
  • Help reduce health inequalities
  • Commissioned through fixed contracts
  • Currently undersupplied
  • Only accessed by 6 of smokers 5 of pregnant
    smokers

3
Rational for change
4
The Intervention
  • First tariff of this kind in the NHS
  • All income linked to outcomes
  • Enhanced tariffs for target populations
  • No income cap
  • Introduced Any Qualified Provider (AQP)
    Regulation
  • Encourage new market entrance

5
Tariffs for reported Quits
Standard Tariffs Standard Tariffs Tariff for pregnant women before 24 weeks Tariff for pregnant women before 24 weeks
Non-Target Target Non-Target Target
4 week No Prescribing Costs 94 136 216 425
12 week No Prescribing Costs 129 271 395 566
  • Higher tariffs when prescribing charges incurred
  • In pregnancy, standard tariffs apply after 24th
    week

6
Implementation
7
Research Question
Can paying for outcomes be effective in target
subgroups?
  • Effective at aggregate level
  • Led to two-fold increase in quits/population
  • Examine effect on non-white British smokers
  • Smoking rates lt 30 in black Caribbean,
    Bangladeshi Chinese males
  • Examine effect on pregnant women
  • High risk of poor maternal infant outcomes
  • Smoking rates vary between 4 -30

8
Design Matched cluster controlled study
Intervention
  • 8 volunteer PCTs

Intervention
  • 64 control PCTs

Control
2010
  • Difference in rate of change in 4 week quits
  • non-white British populations
  • Pregnant women

Outcome measures
Control
  • Routine NHS SSS data
  • ONS population statistics

Data Sources
  • Mixed effect Poisson regression models
  • Incident rate ratio (IRR)

Analysis
9
Controls derived using ONS clusters
ONS subgroup Cluster No of control PCTs No of Intervention PCTs
Centres with industry A 1 9 2
Centres with industry B 2 7 1
Industrial Hinterland A 3 14 1
Manufacturing Towns A 4 13 1
Prospering Smaller Towns B 5 12 1
Prospering Smaller Towns C 6 9 2
  • Rational
  • Similar local population demographics
  • 1000 population used as a denominator

10
NWB and pregnant women represent a small
proportion of quits
4 week quits in intervention PCTs in 2011/12
11
Results at Aggregate Level (submitted for
publication)
  • Two-fold increase in the change in 4 week quits
    per 1000 population
  • 11 per year in intervention PCTs, compared to 5
    per year in controls
  • Incident rate ratio 1.056, p0.006, CI 1.016 to
    1.098

12
Non-white British smokers
13
Non-white British smokers
  • Outcome similar to aggregate results
  • Positive effect on NWB smokers
  • 26 per year in intervention PCTs
  • 14 per year in controls
  • Incident rate ratio 1.104, p0.093, CI 0.983 to
    1.240

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Pregnant Women
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Pregnant Women
  • Little difference for pregnant women
  • 13 per year in intervention PCTs,
  • 11 per year in controls
  • Incident rate ratio 1.019, p0.784, CI 0.888 to
    1.170

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Enhanced tariffs had different effects on the two
target subgroups
  • Appeared to increase supply effectiveness of
    NHS SSS in NWB smokers
  • No evidence of effect in pregnant women

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Possible explanations
  • Non-white British
  • Better Reporting
  • Enhanced tariffs incentivised targeting
  • Any Qualified Provider regulation
  • New providers able to reach niche groups
  • Pregnant women
  • Outcome measured did not capture full effect
  • Stage of pregnancy if sustained
  • Barriers to market entry
  • Enhanced tariffs not high enough
  • Targeting of this group in controls

18
Opportunities for further research..
  • Change in other outcomes
  • 12 week quits
  • Effects on other target groups
  • Pregnant women
  • Exploring reasons for lack of effect
  • Quits in first second trimesters
  • Quits sustained until birth

19
Questions
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