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University of New Mexico·New Mexico

Development of Population-Based Survey Sampling Frame and Representative Sample Selection for 2026 New Mexico Digital Behavioral Health Risk Factor Surveillance System

Closes 2/15/2026$69kSole Source
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Description

The University of New Mexico is seeking a sole source purchase for the development of a population-based survey sampling frame and representative sample selection for the 2026 New Mexico Digital Behavioral Health Risk Factor Surveillance System. The selected vendor will be responsible for developing outreach materials and administering a multi-level outreach strategy to promote the survey. The project aims to collect data from 50,000 New Mexicans from five geographic strata. The proposed vendor, Marketing Systems Group (MSG), has been working with the CDC on the BRFSS program and has the unique capabilities to execute this work. • The project involves developing a sampling frame and selecting a representative sample for the survey. • The vendor will develop outreach materials and administer a multi-level outreach strategy to promote the survey. • The project aims to collect data from 50,000 New Mexicans from five geographic strata. • The proposed vendor, MSG, has been working with the CDC on the BRFSS program and has the unique capabilities to execute this work.

Attached files

Contact

Robyn Viera / Courtney FitzGerald

[email protected] / [email protected]

Key dates

Opened
1/17/2026
Closes
2/15/2026
Duration
6 months

Last updated

Details

Type
Sole Source
Industry
Healthcare and Medical Services
NAICS
541720
Solicitation №
60-U6900-26-CP011

Budget estimate

$69,105

The budget for this opportunity is estimated to be $69,105.00, as stated in the document. This amount seems reasonable considering the scope of work, which includes developing a sampling frame, selecting a representative sample, and administering a multi-level outreach strategy. The budget may be influenced by the vendor's expertise, the complexity of the project, and the number of participants required for the survey.

AI estimate from the solicitation

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