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Preliminary economic evaluation of electrical stimulation
treatment of the upper extremity in post-stroke hemiplegia |
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M.J. IJzerman1, J.R. de Kroon1, J.J.M. Jannink-Nijlant1, G.J. Renzenbrink1 and J.L. Severens2 |
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1. Roessingh Research and Development, Enschede, the Netherlands 2. Dept. Medical Technology Assessment, University Medical Centre, Nijmegen, the Netherlands |
SUMMARY |
Worldwide, the experience with technology
assessment and CEAs on neuro-prosthetics
in the field of physicial medicine and rehabilitation
is limited. Regarding neuro-prostheses (NP) probably
most experience is available on the (VOCARE) bladder stimulator in SCI (Wielink et al,
1997; Creasey et
al, 2000). Both authors performed a cost-minimization analysis, i.e. they
assessed the additional costs and savings after introducing the stimulator. The
studies are conducted using the data collected in an uncontrolled trial in the
Since the early seventies many studies have
been published on the use of electrical stimulation to enhance motor control in
post-stroke hemiplegia. The majority of clinical
research on ES treatment of the upper extremity in post-stroke hemiplegia is still in an experimental stage. Nevertheless,
a few years ago some commercial systems became available, i.e. the automove AM800 and the NESS Handmaster.
The AM800 provides EMG triggered stimulation and the Handmaster
is an orthosis with integrated electrical stimulation
electrodes (Chae and Yu, 1999; Hendricks et al, 2001). Cost-effectiveness of the
treatment is expected to be useful while negotiating with insurance companies
about reimbursement. Sculpher et al (1997) argued that an economic evaluation should be designed
according to the stage of clinical investigation and each of these stages
requires a particular focus on economic evaluation. In the first stage emphasis
is given to systematic collection of evidence on costs and effects and to
collect informal clinical opinions. The second stage is more characterised by a
modelling approach, whereas the third and fourth stage usually collect costing
data alongside the trial. Most of the trials on electrical stimulation devices
can be considered as stage II trials. Therefore, the current study was carried
out to gain insight into the economic potential of electrical stimulation
treatment in post-stroke hemiplegia. This paper
intends to explore whether electrical stimulation (ES) treatment of the upper
extremity in stroke patients can be economically viable. Although we studied
both devices it is not the intention to compare them. We will focus on the best
available evidence on effectiveness and on the relevant costs that are
associated with electrical stimulation.
A societal perspective was chosen for this study. The time horizon was set at one year, because it is not known what the long term effects of the treatment are. Also, it is unknown whether the subjects still use the device after a year. Because the time horizon was only one year, costs were not discounted.
A cost model was made in EXCEL using the costing data and resource effects. Main assumption in the model is the equal distribution of costs in the population of stroke patients of interest. The estimated resource effects of each clinician were averaged and confidence intervals were calculated. Net health benefit (NHB) is calculated by subtracting the costs from the benefits (WTP) of ES treatment. A NHB>0 implies a cost-saving treatment. Sensitivity analysis is performed on the main resource parameters by using the lower and upper boundary of the confidence interval. Three scenario’s were calculated: the average scenario was calculated using the point estimates for costs and WTP, the conservative scenario was calculated using the lower and upper limit of the WTP values and costs respectively and the third (progressive) scenario was calculated in order to maximise the NHB (maximum value of WTP and most reduction in health care expenses).
The experienced clinicians
expected that ES treatment would not reduce health care expenses, except for
the use of spasmolytics (n=8) and physical therapy (n=6). Three clinicans
expected a decrease in occupational therapy. Two clinicans expected a reduction
in specialist consultations, the other expected that there would be more
consultations.
Taking into account the resource effects it is estimated that use of ES devices will increase the total costs of treatment of a stroke patient between EURO 2540.- (AM800) and EURO 3448.- (Handmaster) assuming one year of ES treatment. It appeared that the reduction in medical consumption is only marginal compared to the costs of treatment. The overall increase in cost of ES treatment is caused by electrode supplies. Yearly costs of electrodes is approx. EURO 408.- for both devices. Reduction in medical consumption does not outweigh the increase in costs due to electrodes. Costs were also calculated using the upper and lower limits of the 95% confidence intervals (table 1). Using a conservative estimation of the resource effects (upper limit, table 1) cost of ES treatment was estimated to be EURO 3967.- and EURO 3117.- for the Handmaster and AM800 respectively.

WTP of a reference population was approx. EURO 2450.-, assuming a 100% probability of success. WTP assuming a 50 % and 10% probability was EURO 1708.- and EURO 759.- respectively (table 2).
Net health benefit was
calculated using the estimates of the cost of ES treatment and the WTP values
if a 100% probability of success is assumed (WTP100%). NHB was EURO
-997.- and EURO -89.- for the Handmaster and AM800 respectively (average
scenario). Using a progressive scenario ES treatment may be cost-saving (table
3).
The aim of this study was to gain insight in economic potential of ES treatment in post-stroke hemiplegia and the present study can be considered a pilot investigation in order to judge whether a full economic evaluation would be useful. In contrast to other neuroprostheses, e.g. the VOCARE bladder stimulator, it is not very likely that health care expenses will be reduced after introducing ES treatment. It is expected that only a small reduction in medical consumption (spasmolytics and physiotherapy) will be achieved whereas costs outside healthcare (absence from work) will not be relevant. Also, ES treatment requires the use of electrodes that contribute to a rise in annual treatment cost. Both ES devices use electrodes that are relative expensive compared to the market price of the device. A critical aspect in the study is that ES treatment usually requires a substantial time (e.g. 3 hours/day) investment of patients. There is an ongoing debate about how to take the time investment into account. It is obvious however, that time investment of the patient should be incorporated in the analyses. Another critical issue is the long term use of ES devices. It is not clear if patients are long term users of these devices and abandoning ES devices may result in large costs for society without any beneficial effect.
The effects of ES treatment were derived from a systematic review, but in an economic evaluation one needs outcome measures on an aggregrate level. The most common approach is the measurement of a utility, which allows the researchers to calculate a quality adjusted life year (QALY). It is questioned whether these instruments are able to measure the effects of ES treatment. The present WTP approach is, at least in theory, more responsive to detect treatment effects. However, the approach is relatively new and not without -methodologic- discussion. For instance, WTP depends on the wages of the respondents and it is required to select a „representative sample from the general population“. The amount of information on treatment effects provided to the respondents influences the outcome. For instance, the experienced clinicians had lower WTP values compared to the reference population, which may be caused by a difference in a priori knowledge about the effects. The WTP survey is difficult to complete and to overcome that problem we have chosen to include highly educated people. Although they may not represent society, it is expected that they are better suited to capture the cognitive task.
Almost 50% of the reference population values ES treatment at EURO 2451.- or higher and for those respondents, the value of ES treatment outweighs the costs. This would suggest that ES treatment may be cost-saving for a part of the respondents if the probability of success is nearly 100 %. In order to establish a high success rate it is required to critically examine the patient before an ES device is prescribed. In the present pilot it was decided to study ES treatment as a general entity and it was not the intention to compare two devices. Recently, different reviews have concluded that more fundamental research is required in order to underpin the theoretical foundations of ES treatment in general (Chae and Yu, 1999; Kroon, et al 2001). From that perspective it may be encouraged to improve existing knowledge on treatment mechanisms and approaches before conducting a full economic analysis.
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Maarten J. IJzerman, PhD, PT
Roessingh Research and Development
PO Box 310
7500 AH Enschede e-mail:
m.ijzerman@rrd.nl
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Netherlands home
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