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Healthcare

Hepatitis C: an economic evaluation of extended treatment with interferon

Alan Shiell, Sue Brown and Geoff C Farrell

MJA 1999; 171: 189-193

Abstract - Introduction - Methods - Results - Discussion - References - Authors' details
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Abstract Objectives: To re-evaluate the cost effectiveness of treating hepatitis C virus (HCV) infection with interferon alfa (IF) in Australia, taking into account changes in clinical practice.
Design: A decision-analytic method (Markov model) was used to simulate the costs and effects of 6 months and 12 months of treatment with IF versus no treatment (conventional management). Both costs and effects were modelled over 30 years.
Data sources: Published meta-analysis of the effectiveness of treatment, professional judgement about treatment protocols, scheduled medical fees, diagnosis-related costs for hospital admission, and a literature search for quality-of-life weights.
Patients: A hypothetical cohort of 1000 patients with chronic HCV infection aged 40 years at the start of treatment.
Main outcome measures: Incremental costs per life-year gained and per quality-adjusted life-year (QALY) gained.
Results: Compared with no treatment, IF treatment for 6 months results in an extra 94.2 life-years or 320.1 QALYs at an extra cost of $1.8 million (after discounting at 3%) in a cohort of 1000 patients. Discounted cost per life-year gained is $19 110, which is about a quarter of the cost reported in 1994. The discounted cost per QALY gained is $5625. Extended treatment for another 6 months results in an additional 89.0 life-years saved or 170.8 QALYs gained at an incremental discounted cost of $15 835 per life-year gained and $8250 per QALY gained.
Conclusions: The cost effectiveness of IF treatment for HCV infection has improved as a result of better patient selection, cost reductions and enhanced effectiveness of extended treatment. The results are sensitive to assumptions made about quality of life and the discount rate.


Introduction Infection with the hepatitis C virus (HCV) is an important public health problem in Australia. It is estimated that there are at least 100 000 people carrying the virus and that up to 10 000 new cases are diagnosed each year.1 As many as 85% of those with acute HCV infection will develop chronic infection, and, of these, a significant proportion will develop cirrhosis and hepatocellular carcinoma (HCC). The only approved treatment for chronic HCV infection, interferon alfa (IF), is expensive, has significant adverse effects and is effective in only 10%-35% of patients. The cost effectiveness of treatment is uncertain.

Decision-analytic techniques have been used to simulate the expected costs and effects of treatment, and several economic evaluations of IF have been published.2-7 The only Australian study (published in 1994)3 estimated the cost per life-year gained by treatment with IF to be $33 000 in patients with cirrhosis at the start of treatment and $71 000 for patients without cirrhosis. These figures are substantially higher than those reported elsewhere, reflecting a more cautious view of the long term effectiveness of IF and the exclusion of the broader benefits of therapy, such as its assumed effects on employment and production capacity.

The impact that IF has on the natural history of HCV infection is now better known. Treatment is discontinued in patients who fail to show a response after 12 weeks, with no reduction in effectiveness but with substantial cost savings. Further, several studies have shown benefits of extended treatment over 12 months rather than 6 months, and this has become the recommended treatment period in most countries including Australia. The effect that this has on cost effectiveness is not clear, as both costs and benefits are likely to increase.

Our aim is to update our previous estimate of the cost effectiveness of IF in the treatment of chronic HCV infection.3 Under section 100 of the Health Act 1953 (Cwlth) (Highly Specialised Drugs Program), subsidised treatment is restricted to patients with no signs of cirrhosis at start of treatment and we have restricted our analysis to such patients.


Methods The costs and effects of IF treatment were simulated by a decision-analytic method (the Markov model) in a hypothetical cohort of 1000 patients with chronic HCV infection aged 40 years at start of treatment (the mean age at diagnosis is 42 years). Both costs and effects were modelled over 30 years. The cost effectiveness of treatment with IF over 6 months versus no treatment (ie, conventional management only) was re-evaluated, incorporating changes in clinical practice, treatment costs and the price of IF. The incremental costs and effects of moving from 6 months to 12 months' treatment were then estimated. The software used was Microsoft Excel 97.

The assumptions and methods for the decision analytic technique are shown in the Box.


Results The net cost of 6 months' treatment with IF for chronic HCV infection (ie, the cost of treatment minus the cost of conventional management of the disease) was estimated to be $1800 per patient after discounting at 3%. Treatment with IF results in an extra 94.2 discounted life-years saved or 320.1 additional (discounted) QALYs (Table 2). The incremental cost per life-year saved was $19 110, which is about a quarter of the cost reported in our previous study.3 The incremental cost per QALY gained was $5625.

Extending treatment from 6 to 12 months results in an additional 89.0 discounted life-years gained or 170.8 discounted QALYs at incremental costs of $15 835 per life-year gained and $8250 per QALY gained. Average cost per unit of outcome increases as the duration of the model is reduced. As duration of the model acts as a proxy for age at the start of treatment, this finding suggests that treatment is less cost effective in older age groups.

The sensitivity analysis (Table 3) suggests that the results for 6 months' treatment are robust with respect to assumptions made about rates of disease progression, the long term effectiveness of IF, the price of IF and the exclusion of patients not responding after 12 weeks. The most important variables are the choice of discount rate and the adjustment for quality of life (Table 3). Relatively minor adjustments to the quality-of-life weight for treatment have a large effect on cost per QALY gained. In the extreme, the adverse effects of treatment offset any gains in quality of life brought about by disease resolution. The effect of 12 months' treatment over 6 months' treatment is also sensitive to changes in the discount rate and the duration of the model and, in addition, is more sensitive to assumptions made about disease progression and treatment effectiveness.


Discussion Our results suggest that the cost per life-year gained from 6 months' treatment with IF is lower than when it was first evaluated in an Australian context in 1994.3 This change is attributable to three main factors: a reduction in the cost of treating people with IF; a reduction in the price of IF itself; and cessation of treatment at 12 weeks in those who fail to show a reduction in serum alanine aminotransferase levels. The latter has been clinical policy in Australia since IF was first listed for public subsidy in 1994, but our initial evaluation preceded this.3

Quality adjustment of the outcomes also has a substantial effect on the cost-effectiveness ratios, suggesting that the major impact of IF treatment is on improving quality of life rather than increasing life expectancy through the prevention of cirrhosis. There is also the relief offered to those in whom the infection is resolved. However, the sensitivity of the results to changing assumptions about the effect of the disease and its treatment on quality of life reinforces the need for further research into the subjective impact of HCV infection.

Only one other study has considered the cost effectiveness of 12 months' versus 6 months' therapy.7 Consistent with our results, it concluded that treatment over 12 months may be cost effective, except in patients older than 60 years of age.

The cost-effectiveness ratios reported here compare favourably with many other public health interventions, such as screening for breast and cervical cancer.20,21 However, there are problems in comparing the results of economic evaluations, particularly when different methods have been used.22 Furthermore, if the benefits of extended treatment with IF are to be realised within a limited healthcare budget, then some other program or activity must be dropped or reduced in scale to accommodate the increase in expenditure. Thus, before drawing conclusions about cost effectiveness, one should compare the benefits of IF treatment with the benefits of the other program or activity affected.23

See Box for summary points.

Caution is especially warranted when, as in this case, a decision-analytic model has been employed, as it is often difficult to assess the validity of the assumptions made. The protracted nature of HCV infection, however, makes it difficult to assess the cost effectiveness of treatment by another means.24,25 Decisions on when and how to use IF have to be made with available data. However, our comprehensive sensitivity analysis showed that, for most of the assumptions made, the results appear to be robust.

The exceptions are the two subjective variables -- the utility attached to different disease endpoints and the rate at which future costs and benefits are discounted. HCV infection is not the benign disease it was once believed to be, but little is known about the impact it has on people's lives or the lengths to which they might go for relief. Our results are particularly sensitive to assumptions made about the relative effect of living with chronic infection, and its associated risks of long term sequelae versus the known risks and the uncertain effectiveness of treatment. Individual attitudes to risk and time preference will affect the perceived cost effectiveness of treatment. Further research is needed to examine the personal and social impact of HCV infection and the utility of its treatment.26


References
  1. Australian Health Ministers' Advisory Council. National Hepatitis C Action Plan, October 1994. Canberra; AGPS, 1994.
  2. 2. Garcia de Ancos JL, Roberts JA, Dusheiko GM. An economic evaluation of the costs of a-interferon treatment for chronic active hepatitis due to hepatitis B or C virus. J Hepatol 1990; 11: S11-S18.
  3. Shiell A, Briggs A, Farrell G. The cost-effectiveness of alpha interferon in the treatment of chronic active hepatitis C. Med J Aust 1994; 160: 268-272.
  4. Dusheiko GM, Roberts JA. Treatment of chronic type B and C hepatitis with interferon alfa: an economic appraisal. Hepatology 1995; 22: 1863-1873.
  5. Joliet E, Vanlemmens C, Kerleau M, et al. Cost-effectiveness analysis of the treatment of chronic hepatitis C. Gastroenterol Clin Biol 1997; 21: 336-338.
  6. Bennet WG, Inoue Y, Beck R, et al. Estimates of the cost-effectiveness of a single course of interferon-a 2b in patients with histologically mild hepatitis C. Ann Intern Med 1997; 127: 855-865.
  7. Kim WR, Poterucha JJ, Hermans JE, et al. Cost-effectiveness of 6 and 12 months of interferon-a therapy for chronic hepatitis C. Ann Intern Med 1997; 127: 866-874.
  8. National Institutes of Health Consensus Development Panel statement: management of hepatitis C. Hepatology 1997; 26(3 Suppl 1): 2S-10S.
  9. Fattovitch G, Giustina G, Degos F, et al. Morbidity and mortality in compensated cirrhosis type C: a retrospective follow-up study of 384 patients. Gastroenterology 1997; 112: 463-472.
  10. Australian Bureau of Statistics. Deaths: Australia 1994. Canberra: ABS, 1994. (Catalogue No. 3302.0.)
  11. Poynard T, Leroy V, Cohard M, et al. Meta-analysis of interferon randomized trials in the treatment of viral hepatitis C: effects of dose and duration. Hepatology 1996; 24: 778-789.
  12. Carithers RL Jr, Sugano D, Bayliss M. Health assessment for chronic HCV infection: results of quality of life. Dig Dis Sci 1996; 41: 75S-80S.
  13. Davis GL, Balart LA, Schiff ER, et al. Assessing health-related quality of life in chronic hepatitis C using the Sickness Impact Profile. Clin Ther 1994; 16: 334-343.
  14. Foster GR, Goldin RD, Thomas HC. Chronic hepatitis C virus infection causes a significant reduction in quality of life in the absence of cirrhosis. Hepatology 1998; 27: 209-212.
  15. National Health and Medical Research Council. A strategy for the detection and management of hepatitis C in Australia. Canberra: NHMRC/AGPS, 1997.
  16. Commonwealth Department of Health and Family Services. Medical Benefits Schedule. Nov 1996. Canberra; AGPS, 1996.
  17. Commonwealth Department of Health, Housing, Local Government and Community Services. Manual of Resource Items and their Associated Costs. Canberra: AGPS, November 1993.
  18. Drummond MF, Brandt A, Luce B, Rovira J. Standardising methodologies for economic evaluation in health care. Int J Technol Assess Health Care 1993; 9: 26-36.
  19. Gold MR, Siegel JE, Russell LB, Weinstein MC, editors. Cost-effectiveness in health and medicine. New York: Oxford University Press, 1996: 230.
  20. AHMAC Breast Cancer Screening Evaluation Committee. Breast screening in Australia: future directions. Canberra: Australian Institute of Health and Welfare, 1990.
  21. AHMAC Cervical Cancer Screening Evaluation Committee. Cervical Screening in Australia: options for change. Canberra: Australian Institute of Health and Welfare, 1991.
  22. Salkeld G, Davey PD, Arnolda G. A critical review of health-related economic evaluations in Australia: implications for health policy. Health Policy 1995; 31: 111-125.
  23. Birch S, Donaldson C. Cost-benefit analysis: dealing with the problems of indivisible projects and fixed budgets. Health Policy 1987; 7: 61-72.
  24. Bennet WG, Pauker SG, Davis GL, Wong JB. Modeling therapeutic benefit in the midst of uncertainty: therapy for hepatitis C. Dig Dis Sci 1996; 41: 56S-62S.
  25. Koff RS, Seeff LB. Economic modeling of treatment of chronic hepatitis B and chronic hepatitis C: promises and limitations. Hepatology 1995; 22: 1880-1885.
  26. Owens DK. In the eye of the beholder: assessment of health-related quality of life. Hepatology 1998; 27: 292-293.

(Received 20 Nov 1998, accepted 3 May 1999)


Authors' details Social and Public Health Economics Research Group (SPHERe), Department of Public Health and Community Medicine, University of Sydney, Sydney, NSW.
Alan Shiell, MSc(Econ), Honorary Research Associate.

Medical Benefits Fund of Australia, Sydney, NSW.
Sue Brown, MPH, BPharm, Pharmacy Manager, Provider Relations.

Department of Medicine, Westmead Hospital, University of Sydney, NSW.
Geoff C Farrell, MD, FRACP, Storr Professor of Medicine.

Reprints will not be available from the authors.
Correspondence: Mr A Shiell, Social and Public Health Economics Research Group (SPHERe), Department of Public Health and Community Medicine, University of Sydney (A27), NSW 2006.
Email: alansATpub.health.usyd.edu.au

©MJA 1999
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Assumptions and methods for the decision analytic technique

Natural history of hepatitis C (HCV)

  • Chronic HCV infection to cirrhosis: The rate of progression was assumed to be 20% at 20 years,8 consistent with experience in patients attending liver clinics, but is higher than in a community sample.

  • Cirrhosis to hepatocellular carcinoma (HCC): Rates of progression range from 1% to 4% per year and are higher in older age groups.8 We have assumed an annual rate of 1.4% (14% over 10 years), which is the lowest rate from more than 10 published studies from Europe and Japan.9 The small chance of HCC developing in patients without cirrhosis (< 0.25% per year)8 was ignored.

  • Cirrhosis to advanced liver failure: We assumed that 20% of the cohort would progress to advanced liver failure over 10 years from the onset of cirrhosis.8

  • Death: All patients developing HCC or advanced liver failure were assumed to die within 2 years of diagnosis. Deaths from other causes were estimated from Australian life tables.10

Effectiveness of IF treatment

  • Previous evaluation: In our previous evaluation,3 we assumed that 6 months' treatment with IF would be effective in 20% of cases overall and 26% of cases without cirrhosis at the start of treatment.

  • A recent meta-analysis by Poynard et al11 suggests that a sustained response is achieved in 14%-22% of cases treated with 3 million international units (miu) of IF over 6 months, and in 28%-38% of patients treated with the same dose for 12 months or longer.

  • Our estimates of the effectiveness of treatment were based on the assumption of an 18% sustained response rate after IF treatment for 6 months and a 35% sustained response rate after 12 months' treatment, with both rates subject to sensitivity analysis.

Quality of life

  • Chronic HCV infection has been described as largely asymptomatic, with less than 20% of patients developing non-specific symptoms such as fatigue.8 However, recent studies suggest that it has an impact on quality of life.12-14 People with chronic HCV infection scored significantly lower than a comparable but healthy population on various generic health measures, such as the 36-item short-form health survey (SF-36).12

  • Side effects of treatment: Mild side effects of IF are common and most patients will experience flu-like symptoms which diminish over time. Less transient effects -- fatigue, irritability, depression, thyroid disease and skin disorders -- are more troublesome and cause some patients to discontinue treatment. Less than 2% of patients will experience severe side effects.8

  • Quality-adjusted life-years (QALYs): The impact of the disease (including its sequelae and treatment with IF) on quality of life can be incorporated into the analysis by weighting the life-years gained according to their quality, thus generating an estimate of quality-adjusted life-years, or QALYs. These weights are usually calibrated on a scale of 0 to 1, where 0 is equivalent to death and 1 to a year of life in full health.

  • Subjective impact of the disease: A major shortcoming is a lack of understanding of the subjective impact of the disease. In the absence of patient-generated weights, other authors have used quality-of-life weights based on clinical judgement or small scale surveys.4,6,7 The weights are 0.8-0.95 for chronic hepatitis, 0.7-0.8 for compensated cirrhosis, 0.28-0.5 for decompensated cirrhosis, and 0.1-0.25 for hepatocellular carcinoma.

  • The weights we used were adapted from those derived by Kim et al,7 as these were the only ones based on patient judgement (Table 1). In the baseline case, it was assumed that treatment had no additional adverse effect on quality of life -- an assumption relaxed in the sensitivity analysis.

Costs of treatment

  • Estimates of the treatment costs for each of the main clinical endpoints were based on clinical protocols as specified by the National Health and Medical Research Council (NHMRC)15 and the clinical opinion of one of the authors (G C F). The protocols were costed using the Medicare Benefits Schedule for medical services,16 and Australian national diagnosis-related groups (AN-DRG-3.1) for hospital admissions (Table 1).17 Click here for details. All costs are in Australian dollars at 1996 prices.

  • Cirrhosis: A weighted cost was computed on the basis of specified treatment protocols for each of the main clinical manifestations of cirrhosis. The weights reflect the estimated proportion of patients likely to experience each state.6 It was further assumed that 2% of patients experiencing cirrhosis would undergo a liver transplant each year and that 25% of cirrhotic patients would experience at least one episode of septicaemia requiring hospital admission.

  • IF: The unit cost of IF reflected its price to the healthcare system. It was assumed that treatment would be given at a rate of 3 miu three times a week for either 24 or 48 weeks and would be discontinued in people who did not show a reduction in serum alanine aminotransferase (ALT) levels after 12 weeks. Experience in Australia suggests that 26% of people will fail to respond in this period and will discontinue treatment (R G Batey, Deputy Dean, and Professor of Gastroenterology, Faculty of Medicine and Health Sciences, University of Newcastle, Newcastle, NSW, personal communication).

  • Other costs: Lost production capacity caused by morbidity and premature mortality associated with HCV infection was not considered.18 Other patient costs, such as the use of community services and alternative medicine, were also omitted. This biases the findings against treatment with IF.

Cost effectiveness of IF treatment

  • The cost effectiveness of treatment for 6 months is expressed as the additional

    cost per QALY gained over and above no treatment (conventional management).

  • The incremental cost effectiveness of 12 months' treatment over 6 months' treatment is also reported.

  • Future costs and outcomes were discounted at both 3% and 5% (as recommended by Gold et al19).

  • Undiscounted results are also presented and the effect of using a higher discount rate is assessed in the sensitivity analysis. (Discounting is the process whereby costs and benefits occurring at different points in time are made commensurate with each other.)

Sensitivity analysis

  • The robustness of the results was examined by sensitivity analysis (given the uncertainties inherent in the modelling approach).

  • Key variables included in the sensitivity analysis were response rates, rates of disease progression, time to develop sequelae, costs of treatment, percentage of patients excluded at 12 weeks, age groups, the discount rate, and the adjustment for quality of life.
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1: Baseline assumptions: values and costs used in the Markov model
ValueRange

Disease transition probabilities
  From chronic infection to cirrhosis20%10%-30%
  From cirrhosis to advanced liver failure20%10%-30%
  From cirrhosis to hepatocellular carcinoma14%7%-21%
Effectiveness of treatment
  Long term response after 6 months18%14%-24%
  Long term response after 12 months35%26%-38%
  Discontinue treatment after 12 weeks because of lack of response26%13%-39%
Health state (quality of life) weights
  Chronic infection0.950.80-1.00
  Cirrhosis0.750.50-0.90
  Advanced liver failure0.250.10-0.40
  Hepatocellular carcinoma0.250.10-0.40
  Treatment with interferon alfa (IF)0.950.80-0.95
  Resolved infection1.001.00-1.00
Treatment episode costs*$$

Medical management of chronic infection405200-600
Treatment with IF
  6 months' treatment including discontinuing treatment2 8001 975-3 630
  12 months' treatment including discontinuing treatment5 1503 620-6 670
Cirrhosis (weighted average)2 8251 400-4 200
  Management of compensated cirrhosis660330-990
  Diuretic-sensitive ascites1 880940-2 820
  Refractory ascites13 6406 820-20 460
  Variceal haemorrhage (Year 1)5 8502 925-8 775
  Hepatic encephalopathy (Year 1) 6 3753 190-9 565
  Hepatocellular carcinoma (Year 1)8 8654 435-13 290
  Liver transplant (Year 1)92 52546 265-138 790
  Septicaemia5 3002 650-7 950
Terminal care28 40014 200-42 600
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2: Summary of costs and outcomes of interferon treatment for chronic hepatitis C infection in a hypothetical cohort of 1000 patients

Treatment durationNet costs ($)Lives saved Life-years savedQALYs gained

Undiscounted
(a) 6 months1 185 55512.0176.3 531.4
(b) 12 months2 013 84523.4 342.7830.7
(c) Increment828 290 11.3166.5299.3
Discounted (3%)
(a) 6 months1 800 3807.694.2320.1
(b) 12 months3 209 34514.7183.2490.9
(c) Increment1 408 9657.189.0170.8
Discounted (5%)
(a) 6 months2 049 6455.763.9237.7
(b) 12 months3 694 02011.1124.2359.5
(c) Increment1 644 3755.460.3121.8

Treatment DurationCost/life saved ($)Cost/ life-year saved ($)Cost/ QALY gained ($)

Undiscounted
(a) 6 months98 7106 7202 230
(b) 12 months86 2355 875 2 425
(c) Increment73 0204 9752 765
Discounted (3%)
(a) 6 months238 52519 1105 625
(b) 12 months218 67017 520 6 540
(c) Increment197 64515 835 8 250
Discounted (5%)
(a) 6 months360 37032 095 8 620
(b) 12 months334 02029 750 10 275
(c) Increment306 120 27 265 13 505

Incremental cost and outcomes
(a) 6 months' treatment with interferon v. no treatment; (b) 12 months' treatment with interferon v. no treatment; (c) 12 months' treatment with interferon v. 6 months' treatment.
Net costs = costs of treatment minus costs of conventional management of the disease.
QALY = quality-adjusted life-year.
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3: Discounted costs of interferon treatment for chronic hepatitis C infection per life-year and per quality-adjusted life-year (QALY) gained under best and worst case scenarios (sensitivity analysis)

Treatment for 6 months v. no treatment
Costs ($) per QALY
(Baseline = $5 625)
Costs ($) per life-year
(Baseline = $19 110)
VariableRangeBest
case
Worst
case
Best
case
Worst
case

Rate of cirrhosis10%-30% 3 2409 6459 20548 820
Time to cirrhosis (years)10-304 09010 29011 64537 470
Rate of sequelaeComposite*5 1156 26512 95037 590
 Liver failure10%-30%
 Hepatocellular carcinoma7%-21%
Time to sequelae (years)5-155 4955 77516 21522 970
Long term response rateComposite3 3908 26511 68027 600
 6 months14%-24%
 12 months26%-38%
Cost of interferon per dose$13-$393 0358 12010 31027 595
Cost of health service useComposite4 0657 18513 81024 410
 Chronic infection50%-150%
 Cirrhosis50%-150%
 Terminal care50%-150%
Discontinue treatment
 at 12 weeks13%-33%5 2406 01017 81020 415
Duration of model (years)20-404 30512 95012 89049 090
Discount rate0-10%2 23018 6206 72589 900
Quality-of-life weightsComposite
(See Table 1)
2 08028 03019 110 19 110

Treatment for 12 months v. 6 months
Costs ($) per QALY
(Baseline = $8 250)
Costs ($) per life-year
(Baseline = $15 835)
VariableBest
case
Worst
case
Best
case
Worst
case

Rate of cirrhosis3 80019 8257 02542 270
Time to cirrhosis (years)5 21012 6859 32026 455
Rate of sequelae6 98010 16510 76531 040
 Liver failure
 Hepatocellular carcinoma
Time to sequelae (years)7 8358 72513 49518 970
Long term response rate 4 36063 1758 125214 105
 6 months
 12 months
Cost of interferon per dose 4 15512 3407 91023 475
Cost of health service use 5 48511 01010 53521 135
 Chronic infection
 Cirrhosis
 Terminal care at 12 weeks 6 8109 58513 07518 595
Duration of model (years) 7 20017 3009 75541 910
Discount rate2 76533 4754 97578 310
Quality-of-life weights 7 5309 81015 83515 835

* Composite refers to the aggregate effect on cost per unit of outcome of changing all subsidiary variables simultaneously.
Quality adjustment has no effect on the number of life-years saved.
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Summary points

  • Costs and benefits of healthcare interventions have to be considered in the context of a limited healthcare budget.
  • The cost effectiveness of interferon alfa (IF) treatment of chronic hepatitis C infection in Australia has improved since it was first evaluated in 1994.
  • The major effect of IF therapy is on improving quality of life, not life expectancy.
  • More research is required on the impact of chronic hepatitis C infection and IF treatment on quality of life.
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