ARV and Generic Pharmaceutical Data

Awarded Award Notice Posted

Solicitation number
2017-N-66822
Agency
CDC Office of Acquisition Services Centers for Disease Control and Prevention, Department of Health and Human Services
Awarded
to Iqvia Government Solutions Inc.
Set-aside
No set-aside

Opportunity facts

Contract number
HHSD200201794813C Federal contract award
NAICS code
541990 All Other Professional, Scientific, and Technical Services
PSC
Not on record
Place of performance
All performance associated with this requirement will be performed at the Contractor's facility., United States

Notice details come from SAM.gov. Updated .

Notice text

2 versions

Update #2 · Latest ·

Added: Aug 02, 2017 8:49 am

_____

This solicitation is amended with answers to questions asked.  See attached document for the additional information.

The response date has been extended to 10:00am EDT Friday, 18 August 2017.  All proposals must be received by this date.

Update #1 ·

Added: Jul 25, 2017 2:16 pm The purpose of this contract is to provide the Government with nationwide ARV drug use data that includes demographic data and linked medical claims data, so that these data can be stratified by national, state, and MSA level for the years 2013-2016. If the Government elects to exercise option years, subsequent years of data will be acquired each year, for example in Option Period 1, data from 2017 will be purchased, in Option Period 2, data from 2018, etc. The analyses to be conducted using these data will assess the uptake of PrEP and PEP and produce national estimates; duration of and adherence to HIV treatment; quality of PrEP and HIV care; costs of care; co-morbidities among patients included in the database. The analyses will use combinations of diagnosis codes (ICD-9/ ICD-10), procedure codes (CPT), and drug codes (NDC) to identify diagnoses, procedures such as lab testing, and prescribed medications. Additionally, analyses will also be done to assess differences in HIV prevention and treatment by demographic characteristics (e.g., age, sex, race/ethnicity) and geographic factors (e.g., region, state, urban/rural, county, MSA) to identify disparities in utilization.

Attachments

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