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Cost-effectiveness of paediatric seasonal influenza vaccination in England and Wales RJ Pitman ICON Health Economics, Oxford, UK Canadian Public Health.

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Presentation on theme: "Cost-effectiveness of paediatric seasonal influenza vaccination in England and Wales RJ Pitman ICON Health Economics, Oxford, UK Canadian Public Health."— Presentation transcript:

1 Cost-effectiveness of paediatric seasonal influenza vaccination in England and Wales
RJ Pitman ICON Health Economics, Oxford, UK Canadian Public Health Association Conference Toronto, Canada May, 2014

2 Why conduct cost-effectiveness analyses?
Health policy is formulated to maximise the health of the population Budgets are finite So how do we most efficiently use these limited resources?

3 Incremental costs and benefits
Outcomes Policy A  Cost  Benefit Choice : Policy A or B ? Costs Outcomes Policy B Does the extra benefit justify the extra cost ?

4 Cost-effectiveness plane
New treatment more costly New treatment more costly and more effective Old treatment dominates New treatment less effective New treatment more effective New treatment less costly and less effective New treatment dominates New treatment less costly

5 Cost-effectiveness and opportunity cost
QALYs gained Cost Cost-effectiveness threshold £20,000 per QALY £60,000 Price > P* £30,000 per QALY £40,000 Price = P* £20,000 per QALY 2 £20,000 Price < P* £10,000 per QALY 1 Net Health Benefit 1 QALY 3 Net Health Benefit -1 QALY

6 The region of cost-effectiveness
Difference in cost Cost-effectiveness threshold Difference in effect Region of cost-effectiveness

7 Cost-effectiveness plane
l = cost-effectiveness threshold l

8 Cost effectiveness acceptability curve
New Treatment 100% 80% Probability most cost-effective 50% 20% Current Treatment Cost-effectiveness threshold (l)

9 Moving from the ICER to net benefit
Threshold defines value of health outcome Standard ICER decision rule: ΔC/ΔQ < λ Where λ is the threshold Net monetary benefit: (ΔQ x λ) – ΔC > 0 Net health benefit: ΔQ – (ΔC/ λ) > 0

10

11 Influenza vaccination
In England and Wales vaccination against seasonal influenza was only offered if: Over six months old and at an increased risk of influenza complications This included everyone over the age of 65 years and anyone younger who falls into a predefined risk group

12 Influenza vaccination
Base case Influenza vaccination (status quo) 6mo - <65yrs at risk of influenza related complications 65+yrs vs Paediatric influenza vaccination Status quo + 2yrs - <19yrs

13 The components of a vaccine cost-effectiveness model
Pitman et al. Vaccine (2012) 30:

14 Who Acquires Infection From Whom (WAIFW) matrix
Mixing is heterogeneous Mossong J et al. PLoS Med (2008) 5:

15 The components of a communicable disease model
Vynnycky E et al. Vaccine (2008) 26:

16 Primary care physician visits
Deaths Hospitalization Outpatient visits Primary care physician visits Symptomatic disease Influenza infections AH1N1 AH3N2 B(Yam) B(Vic) Pitman et al. J Infect (2007) 54:

17 Incremental cost effectiveness analysis over 15 years, at 50% uptake
Policy option QALYs lost (millions) Cost (millions) Incremental QALYs (millions) Incremental Cost (millions) ICER No Vaccination 10.25 £8,123 Dominated Current policy 2.43 £6,730 7.82 -£1,393 Cost saving  Current policy + vaccination in year olds 1.75 £6,759 0.69 £29 £43 Current policy + vaccination in year olds 0.20 £7,870 1.55 £1,111 £719

18 15 year cumulative burden of influenza, at 50% uptake
No vaccination CP yrs CP yrs Current practice (CP) Pitman et al. Vaccine (2013) 31:

19 Cost effectiveness acceptability curves, using 15 year cumulative data, at 50%
No vaccination Current policy CP yrs CP yrs Pitman et al. Vaccine (2013) 31:

20 Conclusions Paediatric vaccination is likely to result in substantial health savings both within and beyond the vaccinated cohorts of children While there is considerable uncertainty in the system, annual paediatric influenza vaccination was consistently estimated to be cost-effective

21 Thank You Contributors: Lisa Nagy – ICON Health Economics
Mark Sculpher – York Centre for Health Economics

22 Reserve slides

23 Decisions when a treatment does not dominate
Assessing the opportunity cost What existing treatments will have to be displaced? What health benefits will be forgone? A rule of thumb How does the extra cost of a unit of benefit compare with previous decisions? What is society willing to pay for an extra unit of benefit? Increase insurance premiums/taxation to provide new intervention

24 Influenza virus Constantly changing virus Comes in two types: A and B
Influenza A Responsible for pandemics Has numerous subtypes A(H1N1) – 1918 A(H2N2) – 1957 A(H3N2) – 1968 A(H1N1/09) – 2009 PHIL ID #11823, Dan Higgins, CDC

25 Burden of influenza in England & Wales
The annual health burden of seasonal influenza is considerable Very roughly: 1 million General Practice consultations 25,000 Hospitalisations 20,000 Deaths Pitman R et al, J Infect, 2007, 54,

26 Estimated annual rate of influenza A related primary care consultations
Pitman R et al, J Infect, 2007, 54,

27 Estimated annual rate of influenza A related hospitalisations
Pitman R et al, J Infect, 2007, 54,

28 Estimated annual rate of influenza A related deaths
Pitman R et al, J Infect, 2007, 54,

29 The debate: Who should we be targeting?
Those at greatest risk of complications? Or a combination of both? Those most likely to transmit the virus? Influenza virion TEM: #10073 CDC/ Dr. Erskine. L. Palmer; Dr. M. L. Martin

30 Objective To assess the cost effectiveness of adopting a policy of routine childhood influenza vaccination in the England and Wales, taking account of the dynamics of transmission and indirect protection (herd protection)

31 Herd Immunity Susceptible Immune following infection Vaccinated
Protected by herd immunity

32 Current policy High risk groups 65+ years old
6 months – 64 years old in the following groups: Residents of nursing or residential homes for the elderly and other long-stay facilities or with the following conditions: Chronic respiratory disease (includes asthma treated with continuous or repeated use of inhaled or systemic corticosteroids or asthma with previous exacerbations requiring hospital admission) Chronic heart, liver or renal disease Chronic neurological disease Diabetes mellitus Immunosuppression because of disease or treatment HIV infection (regardless of immune status) Carers of the above Health care workers Pregnant women

33 Methods: Univariate sensitivity analysis
Population mixing Homogeneous (random) Basic reproductive rate 1.4 2.2 No Seasonality Seeding 10 / year / age band; 5 – 50 years of age Vaccine Coverage 10% 50% 80%

34 % uptake in total population2
Status quo Age groups in model % efficacy 1 % uptake in total population2 0 - <1 60% 0.1% 1 - <2 2 - <5 1.4% 5 - <11 11 - <19 19 - <50 75% 5.6% 50 - <65 65+ 50% 73.5% Elderly (65+yrs) and at risk groups vaccinated Annually from 2000 onwards Jefferson T. et al Cochrane Database Syst Rev, CD Jefferson T. et al Cochrane Database Syst Rev, CD Rivetti, D. et al Cochrane Database Syst Rev, CD 2. Health Protection Agency data

35 Paediatric vaccination
Annually from 2009 onwards Efficacy 80% 1,2 Coverage 50% Target age groups Pre-school: 2 - <5 Primary School age: 5 - <11 Secondary school age: 11-<19 Jefferson T. et al Cochrane Database Syst Rev, CD Jefferson T. et al Cochrane Database Syst Rev, CD Rivetti, D. et al Cochrane Database Syst Rev, CD Belshe, R. B. et al N Engl J Med, 2007, 356, Rhorer, J. et al Vaccine, 2009, 27,

36 Cost-effectiveness analysis

37 Assumptions Health Service (NHS) perspective
3.5% discount rate applied to both costs and benefits

38 Costs Vaccination GP consultation Vaccine price point TIV – mean list price LAIV = TIV Health outcomes – age stratified mean cost of influenza related Hospitalisation Costs inflated to 2009 prices, where appropriate

39 Outcomes Averted Quality adjusted life years
General practice consultations Hospitalisations Deaths Quality adjusted life years QALY decrements based on estimates from 2003 HTA report1 Adult QALYs used Turner D et al Health Technol Assess. 2003; 7: 1-170

40 Sensitivity analyses Univariate sensitivity analysis
Probabilistic Sensitivity analysis Variation in probabilities: beta distribution Variation in costs and utility decrements: gamma distribution Probability cost-effective: Cost-effectiveness acceptability curve (CEAC) Probability of option with highest net benefit being cost-effective: Cost-effectiveness acceptability frontier (CEAF) Extreme value analysis

41 Extreme Value Analysis
The transmission coefficient (R0 of 1.4, 1.8 and 2.2) Infectious cases seeded into the population each year (50, 100, 150) Duration of natural immunity (influenza A: 5 years, 6 years, 7 years; influenza B: 11 years, 12 years, 13 years) Duration of infectiousness (1 day, 2 days, 5 days) Percentage of infected individuals that experience symptoms (55%, 64%, 73%) Latent period (1 day, 2 days, 3 days) Duration of vaccine induced immunity (Flu A: 3 years, 6 years, 7 years; Flu B: 6 years, 12 years, 13 years)

42 Simulated influenza Vaccination of elderly Paediatric vaccination

43 Results: Sensitivity of the 15 year cumulative averted influenza cases per 100,000 population, assuming 80% coverage of 2 to 18 year old children with LAIV in addition to current practice

44 Extreme value analysis
Influenza A Influenza B

45 The cost of an influenza related GP consultation
Age Group GP consultations 0-11 mo £88 12-23 mo 24-59 mo £65 5-10 years £54 11-18 years £66 19-49 years £85 50-64 years £101 65+ years £100 General Practice Research Database Personal and Social Services Research Group Report 2008

46 The cost of an influenza related hospitalisation
Median Median Cost Length of Stay yr 6 1,606 yr 1,634 yr 1,662 yr 7 1,983 65+ yr 19 5,354 All Ages 8 2,123 Hospital Episode Statistics NHS National Schedule of Reference Costs

47 Annual primary care and hospitalisation costs of influenza in England & Wales
Total annual cost ~ £175,000,000 Hospital Episode Statistics NHS National Schedule of Reference Costs General Practice Research Database Person and Social Services Research Unit annual report Pitman R et al, J Infect, 2007, 54,

48 Results: Sensitivity of ICER to time horizon, at 50% uptake

49 15 year estimated cumulative burden of influenza, at increasing levels of paediatric vaccine uptake

50 Cost effectiveness acceptability frontier, based on 15 year cumulative data, at 50% uptake

51 Limitations Model incidence calibrated against Tecumseh data (1970s, US data) It was not possible to benchmark the model simulations against actual European data on influenza virus infection rates. Obtaining such sero-epidemiological data will help reduce uncertainty within the parameter estimates High level of uncertainty in many of the parameters Vaccination behaviour Simple treatment of antigenic drift Cross-protection

52 Is there evidence for herd immunity?

53 Tecumseh, Michigan, USA 1968 Hong Kong Flu AH3N2

54 Tecumseh study Tecumseh Adrian Population ~10,000
Respiratory illness surveillance project since 1965 ~360 families followed at any one time 60% random selection 40% selected with chronic respiratory disease & matched controls Followed for one year then replaced with another family Vaccinated 85.8% school age children (Elementary through to High School) Monovalent vaccine (A2/Aichi/2/68) vs. AH3N2 virus (Hong Kong Flu) School absenteeism monitored along with respiratory illness surveillance Population ~20,000 12 miles south of Tecumseh Significant population interchange Weekly family surveillance programme in place 150 households Each family followed for 3 weeks Same questions on respiratory illness as in Tecumseh School absence data also collected Monto AS et al, Bull World Health Organ, 1969, 41,

55 Tecumseh study Two weeks after vaccination began the first isolate of AH3N2 was obtained in Tecumseh

56 School absenteeism 1968 – ‘69 Monto AS et al, Bull World Health Organ, 1969, 41,

57 Incidence of respiratory illness
Monto AS et al, Bull World Health Organ, 1969, 41,

58 Age specific weekly mean rate of respiratory illness
85.8% vaccine coverage Monto AS et al, J Infect Dis, 1970, 122, 16-25

59 Japan – paediatric influenza vaccination
1962 – 1987 mandatory influenza vaccination of all schoolchildren Law relaxed in 1987 Repealed in 1994 Thomas Reichert analysed excess mortality Reichert et al. N Eng J Med 2001;344:

60 Excess deaths attributed to pneumonia and influenza – 5 year moving average
Reichert et al. N Eng J Med 2001;344:

61 Population pyramid, Japan, 1950 - 2000
Age Male Female 1950 2000 Population (thousands)

62 Herd immunity demonstrated in randomised control trial in 2010
Loeb et al. JAMA 2010; 303:

63

64 A simple epidemic schematic with replenishment of susceptible individuals
Effective reproductive rate 2 1 Effective reproductive rate = R0 Infections Time Epidemic curve

65 Communicable disease epidemiology
Effective reproductive rate 2 1 Immune Infections Vaccination Time Epidemic curve Effective reproductive rate

66 Communicable disease epidemiology
Effective reproductive rate 2 1 V Immune Infections Time Epidemic curve Effective reproductive rate Vaccination

67 Communicable disease epidemiology
Effective reproductive rate 2 1 V Immune Infections Time Epidemic curve Effective reproductive rate Vaccination

68 Communicable disease epidemiology
Effective reproductive rate 2 1 V Immune Infections Time Epidemic curve Effective reproductive rate Vaccination

69 Communicable disease epidemiology
Effective reproductive rate 2 1 V Immune Infections Time Epidemic curve Effective reproductive rate Vaccination

70 Communicable disease epidemiology
Effective reproductive rate 2 1 V Immune Infections Time Epidemic curve Effective reproductive rate Vaccination

71 Replenishment of susceptibles
Generation of immunity Rate of viral spread R0 Viral generation time Vaccination Coverage Frequency Behaviour Loss of effective immunity Waning immunity Antigenic drift / shift Births

72 QALYs “Generic” measure of health Combines length and quality of life
Applicable to a wide range of clinical areas Combines length and quality of life Utilities used as quality weights: Survival = 10 years Utility score = 0.5 QALYs = 10 x 0.5 = 5 QALYs

73 Calculation Of QALYs UTILITY 0.9 3.6 QALYs (With treatment)
2.6 QALYs gained 0.5 1 QALY (No treatment) 1 2 3 4 YEARS

74 Calculation Of QALYs UTILITY 0.9 With Treatment QALYs Gained 0.5
No Treatment 5 10 15 YEARS

75 A QALY Is A QALY UTILITY 1 0.5 0.3 1 2 3 YEARS


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