Evidence map›Paper›PMID 28763430›Full record

ArticleJournal of public health management and practice : JPHMP

The Usefulness of Individual-Level HIV Surveillance Data to Initiate Statewide HIV Partner Services: Experiences From Hawaii and New Mexico.

John Beltrami, Andrew Gans, Michelle Wozniak, John Murphy, Benjamin Puesta, Daphne Kennebrew, Mary Angie Allen, Kevin OʼConnor

Abstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

John BeltramiUS Public Health Service, Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, Atlanta, Georgia (Dr Beltrami); New Mexico Department of Health, Santa Fe, New Mexico (Messrs Gans and Murphy); Hawaii Department of Health, Honolulu, Hawaii (Ms Wozniak); Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, Atlanta, Georgia (Mr Puesta and Mss Kennebrew and Allen); and Centers for Disease Control and Prevention, Division of STD Prevention, Atlanta, Georgia (Mr O'Connor).
Andrew Gans
Michelle Wozniak
John Murphy
Benjamin Puesta
Daphne Kennebrew
Mary Angie Allen
Kevin OʼConnor

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

contextPartner services are a broad array of services that should be offered to persons with human immunodeficiency virus (HIV) and that are based on a process through which HIV-infected persons are interviewed to elicit information about their sex and needle-sharing partners. Human immunodeficiency virus testing of partners can result in a high yield of newly diagnosed HIV positivity, but despite this yield and the benefits of partners knowing their exposures and HIV status, partner services are often not conducted.

objectiveWe sought to determine the newly diagnosed HIV positivity and benefits to 2 health departments that conducted demonstration projects that focused on statewide HIV partner services.

designThe main sources of information used for this case study analysis included the health department funding applications, progress reports and final reports submitted to the Centers for Disease Control and Prevention, and records of communications between Centers for Disease Control and Prevention and the health departments. Required quantitative reporting included the number of partners tested and the number of partners with newly diagnosed confirmed HIV infection. Required qualitative reporting included how health departments benefited from their demonstration project activities.

settingHawaii and New Mexico.

participantsSex and needle-sharing partners of persons who were newly diagnosed with HIV infection.

interventionThe use of HIV surveillance data to initiate statewide HIV partner services.

main outcome measureNewly diagnosed HIV positivity.

resultsDuring 2012-2015, the newly diagnosed HIV positivity among partners was 18% (78/427): 16% (17/108) in Hawaii and 19% (61/319) in New Mexico. The health departments benefited from improved collaborations among HIV prevention program and surveillance staff and among the health departments, providers, and AIDS service organizations.

conclusionsHawaii and New Mexico each achieved a high newly diagnosed HIV positivity and benefited from improved local collaborations. As a result of the success of these projects, both health departments have continued the activities since the end of category C funding by securing alternative funding sources.

Indexed as

Data MiningHawaiiHIV InfectionsHumansNeedle SharingNew MexicoPopulation SurveillancePublic-Private Sector PartnershipsSexual BehaviorState Government

Identifiers

PMID28763430
PMCPMC5792370

What OpenQuestion holds

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LicenceTDM
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.