Evidence map›Paper›PMID 31800278›Full record

ArticleAmerican journal of public health2020

Designing and Disseminating Metrics to Support Jurisdictional Efforts to End the Public Health Threat Posed by HIV Epidemics.

Denis Nash

Abstract read
In one paragraph

Article in American journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Denis NashDenis Nash is with the Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, and is executive director of the CUNY Institute for Implementation Science in Population Health. He has served as a member of two governor's task forces in New York, including the Ending the HIV Epidemic Task Force and the Hepatitis C Elimination Task Force.

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Kathryn M. Anastos · 2017 to 2026
$28.3M
NIAID NIH HHS P30 AI124414NIMH NIH HHS P30 MH043520
6 · The paper itself

Abstract

The US Department of Health and Human Services has launched a large-scale plan that aims to "End the HIV Epidemic" (EtHE) in America, including ambitious goals and targets over the next 5 to 10 years.To be successful, the EtHE Plan will require timely dissemination of relevant metrics to inform the broad array of stakeholders who are in a position to act in support of the plan's goals. Metrics should include both population health outcome metrics and implementation metrics that track the deployment and uptake of specific intervention delivery strategies. In addition to the usual HIV care continuum metrics that include all people living with HIV in the denominator, metrics dedicated to those not yet reached (i.e., as the denominator) are essential to help target EtHE implementation efforts. Special attention is required around metrics and targets that inform and drive action on HIV-related health disparities.Well-chosen metrics and a well-designed dissemination system can serve as important tools to assess the progress of the EtHE Plan, and to identify and disseminate lessons learned quickly within and across jurisdictions aiming to end HIV as a local public health threat.

Indexed as

BenchmarkingCD4 Lymphocyte CountEpidemicsHealth Status DisparitiesHIV InfectionsHomosexuality, MaleHumansInformation DisseminationMaleOrganizational ObjectivesPatient Acceptance of Health CarePre-Exposure ProphylaxisPublic HealthSex FactorsSocioeconomic FactorsTime Factors

Identifiers

PMID31800278
PMCPMC6893332

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.