SOLICITATION NOTICE
R -- The Conduct of Empirical Analysis of Psychotropic Prescibing Patterns
- Notice Date
- 9/1/2010
- Notice Type
- Presolicitation
- NAICS
- 541690
— Other Scientific and Technical Consulting Services
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Institute on Drug Abuse, Station Support/Simplified Acquisitions, 31 Center Drive, Room 1B59, Bethesda, Maryland, 20892
- ZIP Code
- 20892
- Solicitation Number
- 1757633
- Point of Contact
- Susan Nsangou, Phone: 3014432104
- E-Mail Address
-
nsangous@mail.nih.gov
(nsangous@mail.nih.gov)
- Small Business Set-Aside
- N/A
- Description
- This is a notice of intent, not a request for a proposal. A solicitation document will not be issued and proposals will not be requested. The National Institute on Drug Abuse (NIDA), Office of Acquisitions- Neurosciences, Station Support/Simplified Acquisition intends to solicit on a sole source basis with the Columbia University, 1210 Amsterdam Avenue, New York, NY 10027 for the conduct of empirical analyses of psychotropic prescribing patterns, overall and in relation to factors such as industry activities and conflict of interest policies, FDA actions, insurance coverage, and publication of major research findings. The contractor shall: 1) Assemble relevant population-based administrative data on psychotropic prescription drug claims, including data on antidepressants, antipsychotics, stimulants, and other psychotropic medications. Prescription-level data should be indexable at the patient level (i.e., so multiple prescriptions for a given patient can be identified) and at the prescriber level. Data will cover multiple recent years in the US (at a minimum of 3 years.) 2) Assemble relevant information on prescriber characteristics, e.g., via the American Medical Association's Physician Masterfile (http://www.ama-assn.org/ama/pub/about-ama/physician-data-resources/physician-masterfile.shtml) or other appropriate source(s). 3) Assemble relevant information on the characteristics, scope and timing of specific "signal events" that might plausible affect psychotropic prescribing patterns, such as - but not necessarily limited to - introduction of or changes to conflict of interest laws/policies, FDA actions (black box warnings, new approvals & indications), drugs going off patent, new drug approvals and indications, and major research findings. 4) Conduct empirical analyses of the effects of particular "signal events" on psychotropic prescribing patterns, including total volume, relative market share, and patterns of poly-pharmacy. 5) Conduct empirical analyses on the distribution of psychotropic market share, such as - but not necessarily limited to - analysis of whether physicians typically write new scripts in a given class for the same drug, across patients; whether physicians who prescribe in several categories of psychotropic drugs typically write new scripts from the same manufacturer, across patients and clinical indications; and how any such patterns relate to physician characteristics and geography. The principal deliverable will be up to 2 scientific manuscripts reporting findings of the empirical analyses. Manuscript(s) should be delivered to NIMH in a form that is suitable for publication in the peer-reviewed scientific literature. One core component of NIMH's Strategic Plan (http://www.nimh.nih.gov/about/strategic-planning-reports/index.shtml) is to strengthen the public health impact of NIMH-supported research. This includes improving understanding of the factors that affect access to service, quality and cost of services, and the means by which newly discovered effective mental health interventions are disseminated and implemented (Strategy 4.1); and improving the research and dissemination activities of the Institute through monitoring and evaluation (Strategy 4.2). The period of performance is 12 months and the place of performance is New York, NY. It is anticipated that the fellowship will be 1,980 hours. Prescription data for this project will come from IMS Health (www.imshealth.com/researchsupport), which has de-identified prescription-level data on a large fraction of retail (vs. wholesale) pharmacy transactions in the US. The contractor has an existing data use agreement with IMS Health that enables the research in this project, and that imposes no publication restrictions on research findings. IMS Health data will be available to this project on an in kind basis via the contractor's existing data use agreement. The acquisition is being conducted under simplified acquisition using FAR 12 procedures and is exempt from the requirements of FAR Part 6, Competition Requirement. This notice of intent is not a request for competitive proposals. Interested parties may identify their interest and capabilities in response to this synopsis. The determination by the Government not to compete the proposed contract based upon responses to this notice is solely with the discretion of the Government. Comments to this announcement, referencing synopsis number NOI1757633 may be submitted to the NIDA, Station Support/Simplified Acquisition Branch, 31 Center Drive, Bldg 31, Room 1B59, Bethesda, MD 20892-2080, and Attention: Susan Nsangou, Contracting Officer.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/NIH/NIDA-2/1757633/listing.html)
- Record
- SN02264434-W 20100903/100901235925-c5badaec67049e9da0fd3069c1e9dc1d (fbodaily.com)
- Source
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