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The Blue Cross & Blue Shield of RI and Brown University ...

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ANALYSES<br />

<strong>The</strong> multivariate analysis used a Cox<br />

proportional hazard model which has a<br />

number <strong>of</strong> desirable characteristics. First,<br />

like other regression models, it estimates<br />

the impact <strong>of</strong> the variable <strong>of</strong> interest (e.g.<br />

warfarin compliance) on the outcome<br />

(e.g. stroke) while taking into account the<br />

role <strong>of</strong> other factors (e.g. age, gender, <strong>and</strong><br />

risk factors). Second, the Cox model also<br />

takes into account the role <strong>of</strong> time, making<br />

it possible for us to examine whether<br />

compliance (versus noncompliance) is<br />

associated with longer periods <strong>of</strong> time<br />

before hospitalization for stroke.<br />

We performed two sets <strong>of</strong> analyses.<br />

First, we looked at which types <strong>of</strong> patients<br />

(by age, gender, <strong>and</strong> risk factor) were more<br />

likely to remain compliant with their<br />

warfarin regimen. Second, we analyzed<br />

whether compliance is associated with a<br />

lower risk <strong>of</strong> hospitalization for stroke,<br />

taking into account the contribution <strong>of</strong><br />

individual factors (age, gender, <strong>and</strong> risk<br />

factors).<br />

RESULT<br />

BCBS<strong>RI</strong> members who were over 80<br />

years old were about 25% less likely (or<br />

75% as likely) to be compliant with their<br />

warfarin therapy as those under 65 years<br />

<strong>of</strong> age. (Figure 1) This finding is statistically<br />

significant at the 95% level <strong>and</strong> <strong>of</strong><br />

similar magnitude across all three definitions<br />

<strong>of</strong> compliance (ranging from 74 to<br />

80%).<br />

In addition, we observed some negative<br />

associations between the presence <strong>of</strong><br />

comorbidities <strong>and</strong> the likelihood <strong>of</strong> compliance.<br />

For two definitions <strong>of</strong> compliance<br />

(30 day <strong>and</strong> 45 day allowable gaps), patients<br />

who had congestive heart failure<br />

were 20 percent less likely to be compliant<br />

than those who did not (p

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