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BMJ 2005;330:1297 (4 June), doi:10.1136/bmj.330.7503.1297
Marcel G W Dijkgraaf, senior researcher1, Bart P van der Zanden, researcher1, Corianne A J M de Borgie, senior researcher1, Peter Blanken, researcher2, Jan M van Ree, professor3, Wim van den Brink, professor4
1 Department of Clinical Epidemiology and Biostatistics (J1B-216) Academic Medical Centre, University of Amsterdam, PO Box 22700, 1100 DE Amsterdam, Netherlands, 2 Central Committee on the Treatment of Heroin Addicts (CCBH), Stratenum, Universiteitsweg 100, 3584 CG Utrecht, Netherlands, 3 Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Stratenum, Universiteitsweg 100, 3584 CG Utrecht, Netherlands, 4 Department of Psychiatry Academic Medical Centre, University of Amsterdam, Amsterdam
Correspondence to: M G W Dijkgraaf m.g.dijkgraaf{at}amc.uva.nl
Design Cost utility analysis of two pooled open label randomised controlled trials.
Setting Methadone maintenance programmes in six cities in the Netherlands.
Participants 430 heroin addicts.
Interventions Inhalable or injectable heroin prescribed over 12 months. Methadone (maximum 150 mg a day) plus heroin (maximum 1000 mg a day) compared with methadone alone (maximum 150 mg a day). Psychosocial treatment was offered throughout.
Main outcome measures One year costs estimated from a societal perspective. Quality adjusted life years (QALYs) based on responses to the EuroQol EQ-5D at baseline and during the treatment period.
Results Co-prescription of heroin was associated with 0.058 more QALYs per patient per year (95% confidence interval 0.016 to 0.099) and a mean saving of
12 793 (£8793, $16 122) (
1083 to
25 229) per patient per year. The higher programme costs (
16 222; lower 95% confidence limit
15 084) were compensated for by lower costs of law enforcement (-
4129; upper 95% confidence limit -
486) and damage to victims of crime (-
25 374; upper 95% confidence limit -
16 625). The results were robust for the use of national EQ-5D tariffs and for the exclusion of the initial implementation costs of heroin treatment. Completion of treatment is essential; having participated in any abstinence treatment in the past is not.
Conclusions Co-prescription of heroin is cost effective compared with treatment with methadone alone for chronic, treatment resistant heroin addicts.
Of the 549 heroin addicts who participated in the trials, 119 received six months of control treatment followed by six months of experimental treatment. We performed the economic analysis with data from the 430 patients who were intended to receive the experimental or control treatment for a full year. We analysed the data from a societal perspective because the cost consequences of this intervention may well extend beyond the domain of health care.
Heroin addiction is a chronic relapsing disorder with a fluctuating (on-off) course. Addicts can function as long as they receive the drugs as needed, while they deteriorate the moment the drug supply is interrupted. Given this on-off phenomenon in combination with the patients' good access to the trial drugs, we assumed that a person's health status is representative for the period in between the current observation and the previous one.7 Hence, we derived QALYs from multiplying the utility of each health state by the time in between the actual observation and the previous one and summing the results over the 12 month treatment period. In case of missing assessments, we carried forward the last observation.
Use of resources, programme related travel, and crime
We used clinical report forms and the European version of the addiction severity index (EuropASI)8 to collect follow-up data on the use of healthcare resources, travel related to the programme, and illegal activities. The EuropASI was completed at the same intervals as the EQ-5D. We measured travel by multiplying the number of visits with twice the standardised distances to the relevant locations.9
10
The EuropASI identifies the number of illegal activities resulting in law enforcement (police investigations, prosecution, adjudication, and execution of sanctions). It also identifies the number of days of illegal activity by type of crime. However, it does not provide data on the number, type, and victims of illegal activities needed to estimate the potential damage to civilians or companies. Therefore, we performed a substudy using similar EuropASI interview conditions during February and March 2004 in 51 new patients during an extended phase of the Dutch heroin experiment.11 The patients matched the inclusion criteria of the original trials, were also in their first year of experimental treatment, and reported at least one day of acquisitive crime in the month before participating in the programme.
We did not measure production loss due to sick leave or lowered efficiency at work because unemployment or disability rates in the target population were expected to be high; nor did we measure the financial consequences of changes in patients' housing arrangements in the community, or the intangible costs of victims of crime and changes in the public's perception of safety.
Unit costing and costs
The costs included the direct medical costs of health care within the programme and elsewhere. The programme costs cover the costs of healthcare staff, security personnel, materials, overheads, and the depreciations (over 30 years, including interest) of initial rebuilding costs of the heroin dispensation facility. Furthermore, the direct personal costs of health related travel and the indirect costs of police investigations, prosecution, adjudication, imprisonment, resettlement, and damage to victims were included. Table 1 shows the key unit standardised costs12 by type of resource and by source. To derive unit costs for the year 2001 we used a general price index of 2% a year.9 Costs were calculated as the summed product of the volumes of resources used and their respective unit costs.
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Statistical analysis
We performed intention to treat analyses and pooled the trial data for inhaling and injecting heroin addicts based on their similar treatment response.3 Volume and costs data for the first year after randomisation were averaged per patient. With a one year treatment period no discounting of costs and effects was performed. We hypothesised that in the experimental group, programme costs and related out-of-pocket expenses would be higher and other healthcare costs and costs related to crime would be lower. Because of skewed distributions, we assessed differences between groups by calculating 95% confidence intervals for the mean differences after correction for bias and using accelerated non-parametric bootstrapping, drawing 25 000 samples of the same size as the original sample separately for each group and with replacement.21 Point estimates of mean total costs and mean QALYs were used to calculate the incremental cost effectiveness ratio for experimental versus control treatment, again followed by the same bootstrap procedure to account for sampling variability. Similarly, we performed multi-way sensitivity analyses to investigate the robustness of the cost acceptability of experimental treatment (for willingness to pay values up to
50 000) to plausible changes in key unit costs and to a Dutch time trade-off based health utility algorithm (Lamers LM, personal communication). We performed a subgroup analysis for patients with or without participation in abstinence-oriented treatment before baseline as such participation seemed to predict treatment effect.22 Another subgroup analysis was performed for patients who did or did not complete the 12 month treatment schedule.
900 (£610; $1133) a month on drugs. About once every three days, patients engaged in illegal activities to acquire money or drugs. After randomisation, 13 participants in the experimental group and one in the control group rejected treatment. During the study period 45 and 32, respectively, discontinued treatment for various reasons. Thus 135 (70%) in the experimental group and 204 (86%) in the control group completed the full year of treatment. One hundred (51.8%) participants in the experimental group responded to treatment compared with 68 (28.7%) in the control group. Two deaths occurred, one in each group, but both were unrelated to treatment. Over one year, mean QALYs per patient (table 2) were significantly higher for experimental than control patients with a mean difference of 0.058 (95% confidence interval 0.016 to 0.099).
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Use of resources and illegal activity
Methadone intake was similar in both groups, at about 19 g a year. Experimental patients received 143 g heroin on average. The use of healthcare resources outside the programme was low with 8.6 and 7.4 consultations on average a year for experimental and control patients, respectively, and with each patient spending less than half a week as an inpatient (table 3).
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Table 4 shows that participants in the experimental group engaged in criminal activities less often than those in the control group. They reported fewer days with crime against property (10.3 v 37.5), were arrested less often (2.1 v 2.8 times a year), were less frequently convicted (0.25 v 0.54 times), and stayed in prison almost one day less (11.7 v 12.5 days).
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After we excluded patients with missing data or with more than 200 illegal activities a month (n = 47 remaining), the mean number of crimes against property per day of illegal activity with possible damage to third parties amounted to 3.4, with 2.5 (74%) crimes against companies and 0.9 (26%) against civilians.
Costs and cost utility
Tables 5 and 6 show the mean and median costs per patient. Mean cost differences between the groups resulted from the maintenance programme, law enforcement, victim damage, and travel. The mean total net savings amounted to
12 793. With these net savings and the higher mean QALYs (table 2), the experimental treatment was superior to the control treatment (figure).
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Sensitivity and subgroup analyses
The dominance of the experimental treatment persisted (95% upper limit -
12 911) when we used Dutch time trade-off based health utility values rather than UK values, with a difference in QALYs between the groups of 0.053 instead of 0.058.
The programme costs of experimental treatment included the costs of rebuilding existing treatment centres. Exclusion of these initial implementation costs reduced the unit costs per heroin dispensation from
30.32 to
28.64 and strengthened the superiority of experimental over control treatment (95% upper limit -
30 953).
Having participated in any abstinence-oriented treatment in the past did not substantially influence the effectiveness of the experimental treatment. For willingness-to-pay values between
5000 and
50 000, the cost acceptability of experimental against control treatment ranged from 89% to 96% for patients with at least one previous abstinence attempt and from 96% to 97% for patients without such attempt.
Completion of treatment strongly influenced the programme's efficiency. The cost acceptability of experimental against control treatment for willingness-to-pay values up to
50 000 did not exceed 32% in case of non-completers. For treatment completers, however, the cost acceptability was higher than 99% for willingness-to-pay values of 3
5000.
This economic evaluation of heroin treatment was part of a randomised trial rather than within a single group before and after study.23 Compared with other addiction studies that included methadone maintenance treatment as reference care, we used a sufficiently long observation period of 12 months rather than a potentially suboptimal25 six months.26 Furthermore, we took a societal rather than provider perspective,26 27 thereby paying attention to outcomes like reductions in crime that also matter to policy makers.28 29
Prolonged monitoring after planned discontinuation of experimental treatment after 12 months indicated substantial deterioration among responders to treatment.3 Most patients need lifetime treatment with methadone plus heroin, which is consistent with the chosen depreciation period for the initial rebuilding costs. In the long run, however, these rebuilding costs might have a larger impact on the costs per visit because the yearly number of visits may decrease for several reasons. The cohort of eligible patients will probably reduce in size due to low accrual rates and maybe increasing successful abstinence attempts after prolonged experimental treatment. Furthermore, patients who do not respond will stop receiving co-prescribed heroin. To limit the future impact of the capital costs on the costs per visit the unit should in time develop into a multifunctional intensive care facility including, for instance, the treatment of patients with HIV and other chronic diseases.
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At baseline, most participants were unemployed or too disabled to work. If measured, production losses based on the friction cost method30 would probably have been low. A participant's improved health status and functioning might enable a return to paid work. Such change benefits the individual but does not necessarily lead to production gains for society at large because another (healthy) person might accept the job instead.
Limitations
The EQ-5D is generally accepted as an instrument of choice in economic evaluations. Little is known, however, about its reliability and validity in drug addicts. Although our conclusions may be robust, further study is needed into the use of the EQ-5D in such patients.
Compared with Dutch time trade-off based values, the use of time trade-off based UK health utility values overestimated the differences in QALYs. Consequently, the estimate of cost effectiveness of the experimental treatment is conservative.
The modest difference in costs of law enforcement between experimental and control patients compared with the difference in costs of damage to victims may result from law enforcement related to offences committed before study inclusion. If so, the real economic benefit from avoided crime in case of experimental treatment is underestimated.
Funding: The study was commissioned and financially supported by the Netherlands Ministry of Health, Welfare, and Sports.
Competing interests: None declared.
Ethical approval: The study was approved by the central committee on medical ethics (KEMO) and the substudy by the central committee on research involving human subjects (CCMO). All participants provided written informed consent.
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