Evidence map›Paper›PMID 18356570›Full record

ArticleAmerican journal of public health2008

The effect of name-based reporting and partner notification on HIV testing in New York State.

James M Tesoriero, Haven B Battles, Karyn Heavner, Shu-Yin John Leung, Chris Nemeth, Wendy Pulver, Guthrie S Birkhead

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Comment on name-based reporting.American journal of public health · 2008
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

James M TesorieroOffice of Program Evaluation and Research, AIDS Institute, New York State Department of Health, Riverview Center, 150 Broadway, Suite 516, Menands, NY 12204, USA. jmt07@health.state.ny.us
Haven B Battles
Karyn Heavner
Shu-Yin John Leung
Chris Nemeth
Wendy Pulver
Guthrie S Birkhead
New York State Department of Health · US

Funding

PHS HHS R06/CCR218723
6 · The paper itself

Abstract

objectivesWe examined the effect of New York's HIV Reporting and Partner Notification law on HIV testing levels and on the HIV testing decisions of high-risk individuals.

methodsIn-person interviews were administered to 761 high-risk individuals to assess their knowledge, attitudes, and behaviors regarding HIV testing and reporting. Trends in HIV testing were also assessed in publicly funded HIV counseling and testing programs, Medicaid, and New York's Maternal Pediatric Newborn Prevention and Care Program.

resultsHigh-risk individuals had limited awareness of the reporting and notification law, and few cited concern about named reporting as a reason for avoiding or delaying HIV testing. HIV testing levels, posttest counseling rates, and anonymous-to-confidential conversion rates among those who tested HIV positive were not affected by the law. Medicaid-related HIV testing rates also remained stable. HIV testing during pregnancy continued to trend upward following implementation of the law. Findings held true within demographic and risk-related subgroups.

conclusionsHIV reporting has permitted improved monitoring of New York's HIV/AIDS epidemic. This benefit has not been offset by decreases in HIV testing behavior, including willingness to test among those at high risk of acquiring HIV.

Indexed as

Health Knowledge, Attitudes, PracticeMandatory ReportingAdolescentAdultAIDS SerodiagnosisContact TracingDemographyDirective CounselingFemaleHealth SurveysHIV InfectionsHumansInterviews as TopicMaleMedicaidMiddle Aged

Identifiers

PMID18356570
PMCPMC2377003
OpenAlexW2043609897

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.