01.03.2013 Views

CPDD 72nd Annual Meeting • Scottsdale, Arizona - The College on ...

CPDD 72nd Annual Meeting • Scottsdale, Arizona - The College on ...

CPDD 72nd Annual Meeting • Scottsdale, Arizona - The College on ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

77<br />

INTERNET-BASED POST-MARKETING SURVEILLANCE OF<br />

NEWLY MARKETED OPIOID ANALGESICS.<br />

John S Brownstein, E McNaught<strong>on</strong>, T A Cassidy, S H Budman, S F Butler;<br />

Inflexxi<strong>on</strong>, Inc., Newt<strong>on</strong>, MA<br />

Aims: <str<strong>on</strong>g>The</str<strong>on</strong>g> Nati<strong>on</strong>al Addicti<strong>on</strong>s Vigilance Interventi<strong>on</strong> & Preventi<strong>on</strong> PROgram<br />

(NAVIPPRO) post-marketing surveillance system m<strong>on</strong>itors a several data<br />

streams, including two, near real-time, Internet-based, product-specific datasets:<br />

(1) Web-Informed Services (WIS) m<strong>on</strong>itors Internet prescripti<strong>on</strong> drug abuse<br />

chatter <strong>on</strong> abuse related websites, and (2) Geotemporal Real-time Internet-based<br />

Intelligence for Drugs (Media-GRIID) tracks abuse-related media reports<br />

over 20,000 news outlets. How these data streams may anticipate abuse rates as<br />

new prescripti<strong>on</strong> opioid products increase market share is not well understood.<br />

Methods: We examined the relati<strong>on</strong>ship of these Internet-based data streams to<br />

abuse as measured by NAVIPPRO’s ASI-MV® C<strong>on</strong>nect which collects abuse<br />

data in the past 30 days from clients in treatment at a network of more than 530<br />

addicti<strong>on</strong> treatment facilities across the US. Data for two opioid products,<br />

Opana® ER and EMBEDA, are examined from product-launch to explore<br />

how Internet chatter and media reports may anticipate abuse rates. Time series<br />

analyses were c<strong>on</strong>ducted for the respective life-span of each product (Opana®:<br />

July 2006-present; EMBEDA: August 2009-present). Cross correlati<strong>on</strong>s compared<br />

each data stream adjusting for time lags between the data sources and the<br />

ASI-MV® C<strong>on</strong>nect measure of prescripti<strong>on</strong> opioid abuse.<br />

Results: Significant correlati<strong>on</strong>s over time were observed for both Internet-based<br />

data streams and ASI-MV® abuse rates adjusting for various time lags. Analyses<br />

identified optimal time lags of 7 m<strong>on</strong>ths for WISTM prescripti<strong>on</strong> opioid web<br />

chatter (R2=0.73) and 11 m<strong>on</strong>ths for Media-GRIID prescripti<strong>on</strong> opioid-related<br />

media menti<strong>on</strong>s (R2=0.38).<br />

C<strong>on</strong>clusi<strong>on</strong>s: <str<strong>on</strong>g>The</str<strong>on</strong>g>se preliminary results raise the possibility that Internet-based<br />

data may provide early situati<strong>on</strong> awareness intelligence with respect to abuse levels<br />

of analgesic products as market share increases. <str<strong>on</strong>g>The</str<strong>on</strong>g>se data may serve as leading<br />

indicators of trends observed in the clinical setting. Implicati<strong>on</strong>s and robustness<br />

of these observati<strong>on</strong>s are discussed with respect to Opana® ER and<br />

EMBEDA.<br />

Financial Support: Inflexxi<strong>on</strong>, Inc.<br />

79<br />

HOW ACCURATE ARE ESTIMATES OF COMMUNITY ABUSE<br />

MADE BY LOCAL KEY INFORMANTS?<br />

Sim<strong>on</strong> H Budman, T A Cassidy, K Lioy, S F Butler; Inflexxi<strong>on</strong>, Inc., Newt<strong>on</strong>, MA<br />

Aims: Post-marketing surveillance of prescripti<strong>on</strong> medicati<strong>on</strong>s often uses key<br />

informants as a primary source to estimate local abuse rates. We examined how<br />

key informant report corresp<strong>on</strong>ds to direct self-report of clients entering substance<br />

abuse treatment using data from the ASI-MV® C<strong>on</strong>nect, a NAVIP-<br />

PRO(TM) data stream, which collects data from a nati<strong>on</strong>al network of treatment<br />

facilities.<br />

Methods: Treatment facilities having relatively high and low rates of prescripti<strong>on</strong><br />

opioid abuse were identified. Counselors at these treatment centers served as<br />

local key informants and estimated rates of abuse at their treatment center and<br />

in their community <strong>on</strong> an Internet survey.<br />

Results: Significant differences in the expected directi<strong>on</strong> were obtained for estimates<br />

of abuse rates by counselors from high- and low-rate facilities for<br />

OxyC<strong>on</strong>tin® (p

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!