Evidence map›Paper›PMID 31172964›Full record

ArticleJMIR public health and surveillance2019

Programmatic Mapping: Providing Evidence for High Impact HIV Prevention Programs for Female Sex Workers.

Faran Emmanuel, Navindra Persaud, Sharon S Weir, Parinita Bhattacharjee, Shajy Isac

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Faran EmmanuelCentre for Global Public Health, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0002-7901-0257
Navindra PersaudFamily Health International 360, Washington DC, WA, United States.ORCID http://orcid.org/0000-0002-7694-4505
Sharon S WeirUniversity of North Carolina, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0001-6014-1460
Parinita BhattacharjeePartners for Health and Development in Africa, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-3277-7693
Shajy IsacCentre for Global Public Health, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0002-4272-7748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmatic mapping (PM) is a rapid and efficient mechanism to develop size estimates of key populations including female sex workers (FSWs) and geolocate them at physical locations in a systematic and scientific manner. At the macro level, this information forms the basis for allocating program resources, setting performance targets, and assess coverage. At a micro level, PM data provide specific information on hot spots, estimates of FSWs at those spots, and hot spot typology and days and times of operation, all of which provides targeted service delivery strategies. This information can provide a reliable platform to plan HIV prevention and treatment services to considerable scale and intensity. Above all, the entire PM process requires deep involvement of FSWs, which increases community ownership of the data and can lead to an increased uptake of services. Despite a few limitations, the approach is versatile and can be used in varied country contexts to generate important information about sex work and its dynamics. In this paper, we describe experiences and lessons learned from using evidence generated from PM of FSWs in multiple countries to develop HIV prevention programs at scale.

Indexed as

female sex workersHIV preventionkey populationsmicroplanningPLACEprogrammatic mappingsize estimation

Identifiers

PMID31172964
PMCPMC6592495

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.