Donepezil, rivastigmine, galantamine and memantine for ...
Donepezil, rivastigmine, galantamine and memantine for ...
Donepezil, rivastigmine, galantamine and memantine for ...
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116<br />
Economic analysis<br />
sensitive to disease stage (<strong>and</strong> earlier reporting of<br />
data suggests responses are sensitive to setting of<br />
care), 161 yet caregiver values do not appear to be<br />
associated with disease severity. HUI3 produces<br />
considerably lower utility scores <strong>for</strong> patients. The<br />
HUI3 has a broader descriptive system <strong>and</strong><br />
identifies more states considered worse than dead<br />
than did the HUI2.<br />
There are limitations with the study; it is a crosssectional<br />
study <strong>and</strong> one-time assessments can be<br />
affected by many factors present on a particular<br />
day, the HUI2 questionnaire has not been<br />
validated <strong>for</strong> use in AD, 161 responses are from<br />
proxies (caregivers) not patients, <strong>and</strong> there may be<br />
many other factors (e.g. co-morbid conditions)<br />
that influence the respondents. In general proxies<br />
tend to rate disability at a higher level (i.e. rate it<br />
as if it has a larger impact on health-related QoL)<br />
than do patients, 167 although with AD proxies are<br />
the only practical option. The sample may not be<br />
representative of the treatment population, as they<br />
were from selected sites <strong>and</strong> were required to have<br />
an active caregiver. Furthermore, the utilities are<br />
derived indirectly using a multi-attribute model<br />
based on a community sample, with responses<br />
unrelated to AD (i.e. generic health state<br />
descriptions were used).<br />
Neumann 166 in an earlier presentation, reported<br />
health state values <strong>for</strong> AD by severity <strong>and</strong> location<br />
(community or nursing home) (Table 66).<br />
Kerner <strong>and</strong> colleagues, 168 in a US study, report<br />
health state utility data from a sample of 159<br />
patients with a diagnosis of probable or possible AD<br />
patients (<strong>and</strong> their caregivers), <strong>and</strong> 52 control<br />
patients, recruited as part of a longitudinal study on<br />
AD care-giving. This study reports data collected<br />
using the Quality of Well-being Scale (QWB). The<br />
QWB assesses QoL across levels of functioning (i.e.<br />
TABLE 66 Data on AD health state values reported by<br />
Neumann 164<br />
AD stage/setting Patients Caregivers<br />
Mild AD<br />
Community 0.68 0.86<br />
Nursing home<br />
Moderate AD<br />
0.71 0.86<br />
Community 0.54 0.86<br />
Nursing home 0.48 0.86<br />
Severe AD<br />
Community 0.37 0.86<br />
Nursing home 0.31 0.86<br />
using descriptive scales <strong>for</strong> mobility, physical activity<br />
<strong>and</strong> social activity) <strong>and</strong> a range of symptoms.<br />
Responses to the questionnaire provide a profile<br />
which is used in conjunction with tariff values <strong>for</strong><br />
the QWB. The QWB uses decrements in well-being<br />
(from a position of 1.0 reflecting<br />
asymptomatic/optimum function) based on weights<br />
derived from a US sample of the general<br />
population, <strong>for</strong> health states described using the<br />
three QWB descriptive scales, <strong>and</strong> additional<br />
decrements based on reported symptoms. 169 Kerner<br />
<strong>and</strong> colleagues report an overall QWB score of 0.51<br />
(SD 0.06) <strong>for</strong> AD patients, compared with 0.74 (SD<br />
0.12) in controls. Results are not presented by<br />
stages of disease severity (the sample was spread<br />
evenly over CDR stages of disease).<br />
Sano <strong>and</strong> colleagues, 170 in a US study, report<br />
findings from an experimental empirical study<br />
which elicited health state values <strong>for</strong> AD health<br />
state descriptions (using CDR stages 1 <strong>and</strong> 3; mild<br />
dementia <strong>and</strong> severe dementia) from both experts<br />
familiar with AD <strong>and</strong> students unfamiliar with AD.<br />
The study used the visual analogue scale (VAS)<br />
<strong>and</strong> time trade-off (TTO) health state valuation<br />
techniques. The authors report findings from<br />
expert raters <strong>for</strong> CDR1 <strong>and</strong> CDR3 states as 0.75<br />
<strong>and</strong> 0.26, respectively, <strong>for</strong> VAS, <strong>and</strong> 0.67 <strong>and</strong> 0.31,<br />
respectively, <strong>for</strong> TTO. Student responses are<br />
reported as 0.65 <strong>and</strong> 0.30 <strong>for</strong> VAS <strong>and</strong> 0.58 <strong>and</strong><br />
0.29 <strong>for</strong> TTO in CDR 1 <strong>and</strong> 3, respectively.<br />
Mortality <strong>and</strong> AD<br />
AD is reported to be the fourth most common<br />
cause of death after heart disease, cancer <strong>and</strong><br />
stroke <strong>and</strong> is also associated with an increased<br />
mortality rate in comparison with the general<br />
population mortality rate. 112,129,171 Studies have<br />
taken different approaches to assessing the impact<br />
that AD has on life span; some report a hazard<br />
ratio <strong>for</strong> the increased risk of death <strong>for</strong> AD<br />
patients in comparison with the mortality risk in<br />
the general population, whereas others have<br />
developed models to try to predict the expected<br />
survival time <strong>for</strong> a person with AD.<br />
In the UK, Burns <strong>and</strong> colleagues 172 estimated<br />
st<strong>and</strong>ardised mortality ratios (SMRs) <strong>for</strong> AD<br />
patients in the age groups 65–75, 75–84 <strong>and</strong><br />
>85 years, with SMRs of 5.00, 4.07, <strong>and</strong> 2.80,<br />
respectively. Combining these data with UK<br />
mortality data presents annual mortality estimates<br />
<strong>for</strong> AD at 15.4, 30.3 <strong>and</strong> 48.5% in the 65–75,<br />
75–84 <strong>and</strong> >85 years age groups, respectively.<br />
The data from Burns <strong>and</strong> colleagues 172 are based