A review of the natural history and epidemiology of multiple sclerosis: implications for resource allocation and health economic models.
A review of the natural history and epidemiology of multiple sclerosis: implications for resource allocation and health economic models.
复制标题
多发性硬化症的自然史和流行病学回顾:对资源分配和健康经济模型的影响。
DOI:
10.3310/hta6100
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发表时间:
2002
影响因子:
3.6
通讯作者:
P. Tappenden
中科院分区:
文献类型:
--
作者:
Richardson Rg;F. Sampson;S. Beard;P. Tappenden
Background:
Multiple sclerosis (MS) is a progressive
degenerative disease of the CNS with a pattern
of symptoms that depends on the type of disease
and the site of lesions. As damage accumulates,
symptoms become more permanent and progressive
disability ensues. MS is a disease characterised
by wide variations between patients and for
the individual over time, thus making
categorisation difficult.
MS has a significant impact on the quality of life
(QoL) for most patients over many years, with the
disease lasting, on average, 30 years. The disease is
twice as common in women than in men, and is at
its peak in the most economically productive years
of life.
In order to plan for the social and economic
impact of MS on patients, their families and society
as a whole, a better understanding of the natural
history and epidemiology of the disease is needed.
In particular there is a need to describe accurately
the patterns and impact of disease progression
over time.
Aim of the review:
There are three main aims to the current report:
• to review existing natural history data
• to review existing epidemiology data
• to review modelling literature and outline the
structure of a theoretical model, which could be
developed and used in the future to reflect the
course of MS in terms of disease progression,
health utility and cost at different stages of
the disease.
Methods:
A literature search was conducted to identify
all papers relevant to the natural history and
epidemiology of MS and to MS-related models.
MEDLINE, EMBASE and the Science Citation
Index were used. The following inclusion
criteria were applied:
• diagnostic classification system described
• methods of case ascertainment described
• time series conducted in the same place
• geographical studies conducted over a
limited period
• case definitions and observers consistent
over time and place
• studies with at least 100 cases reported.
Results:
Natural history of MS:
The most commonly quoted physical and cognitive
effects of the disease include: weakness, fatigue,
ataxia, bladder complaints, bowel problems,
sensory effects and visual impairment.
The most supported tool for the grading of
functional effects of MS is the (Expanded)
Disability Status Scale ((E)DSS). The scale
ranges from 1 (least severe) to 10 (death from
MS). However, the scale is not ideal because
there is a bias towards the physical effects of
the disease (particularly ambulation) rather
than the cognitive effects.
Relapse rates in relapsing-remitting MS vary
considerably over time for an individual and
between individuals, but there is a general
pattern of exacerbations of more frequent
relapses, followed by long periods of lower rates.
This makes assessment of the effects of treatments
in an individual extremely problematic. High
relapse rates at the onset of the disease give a
limited prediction of poor prognosis.
Epidemiology of MS:
Epidemiological studies in England and Wales
have given a range of prevalence estimates but the
average is estimated at about 110 patients per
100,000 population. There is good international
evidence of geographical variation in prevalence,
best described by increasing prevalence with
latitude (both north and south of the equator).
This is not seen in the data for England and Wales,
but this may be due to other causes of variation
masking any trend in the limited data. If such a
latitudinal variation did apply to England and
Wales, then the prevalence would range from 104 to 156 per 100,000 (south to north), indicating
substantial differences in resource consequences.
Improved survival has led to increased prevalence.
Modelling:
Of 30 papers reviewed on the use of modelling
of MS progression, none provide a view of progression
from onset to death. A Canadian
longitudinal study of over 1000 patients provides
the most detailed information available. It is
limited by its use of the DSS as a measure of
progression and by the level of detail published,
but, combined with other work on the utility of
DSS states, these Canadian data could be used
to prepare a Markov model (a model type well
suited to use in a chronic disease).
Cost studies of MS:
Cost studies suggest that the general support
costs for patients are related to increasing DSS
step. The latest and most complete UK study shows
that, on average, patients at EDSS 1–3.5 incur costs
of around £3350 per annum compared with £9560
per annum at EDSS 6.5–8. Similar published data
on health utility show that the health value of time
spent in DSS states decreases with increasing
DSS step.
Conclusions:
MS is a chronic disease of long duration affecting
a wide range of human functions. Short research
studies of treatment efficacy cannot fully assess
meaningful outcomes nor deliver the information
needed for health economic analyses. All MS
patients should be better monitored throughout
the course of the disease both to improve their
care and to better understand the natural history
of the disease. New methods need to be developed
for researching treatments of chronic diseases.
The development of a model of MS progression
should incorporate information on costs and
QoL at different stages of the disease in order to
examine the long-term cost-effectiveness of any
changes in progression.
Research recommendations:
The following research recommendations have
been identified.
• Trials on interventions for MS should be longer
in duration to address the range of morbidity
characteristic of the disease.
• More information is needed on the effects of
MS on QoL and the costs relating to symptoms
and disability.
• The (E)DSS requires further development to
address its shortcomings in this disease.
Comprehensive data on the progression of MS
patients over the long term, including symptoms
experienced and rates and length of relapse, are
needed for each (E)DSS state to enable accurate
modelling of the impact of disease progression.