Evidence map›Paper›PMID 27925491›Full record

ArticleAIDS education and prevention : official publication of the International Society for AIDS Education2016

Building Capacity for Data-Driven Decision Making in African HIV Testing Programs: Field Perspectives on Data Use Workshops.

Cari Courtenay-Quirk, Hilary Spindler, Aimee Leidich, Pam Bachanas

Abstract read
In one paragraph

Article in AIDS education and prevention : official publication of the International Society for AIDS Education, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. HIV Testing Program Activities and Challenges in Four U.S. Urban Areas.AIDS education and prevention : official publication of the International Society for AIDS Education · 2022
    Article
  5. Review
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

4 authors.

Cari Courtenay-QuirkDivision of Global HIV/AIDS and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, Georgia.
Hilary SpindlerGlobal Health Sciences, University of California San Francisco.
Aimee LeidichGlobal Health Sciences, University of California San Francisco.
Pam BachanasDivision of Global HIV/AIDS and Tuberculosis, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

Intramural CDC HHS CC999999PEPFAR
6 · The paper itself

Abstract

Strategic, high quality HIV testing services (HTS) delivery is an essential step towards reaching the end of AIDS by 2030. We conducted HTS Data Use workshops in five African countries to increase data use for strategic program decision-making. Feedback was collected on the extent to which workshop skills and tools were applied in practice and to identify future capacity-building needs. We later conducted six semistructured phone interviews with workshop planning teams and sent a web-based survey to 92 past participants. The HTS Data Use workshops provided accessible tools that were readily learned by most respondents. While most respondents reported increased confidence in interpreting data and frequency of using such tools over time, planning team representatives indicated ongoing needs for more automated tools that can function across data systems. To achieve ambitious global HIV/AIDS targets, national decision makers may continue to seek tools and skill-building opportunities to monitor programs and identify opportunities to refine strategies.

Indexed as

Capacity BuildingDecision MakingCommunicable Disease ControlHIV InfectionsHumansMass ScreeningSurveys and Questionnaires

Identifiers

PMID27925491
PMCPMC6442680

What OpenQuestion holds

Textmetadata
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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.