Evidence map›Paper›PMID 38988032›Full record

ArticleJournal of the International AIDS Society2024

Using a Programme Science approach to substantially reduce the risk of HIV transmission and acquisition in sex transactions among female sex workers in Zimbabwe.

Frances M Cowan, Sithembile Musemburi, Primrose Matambanadzo, Phillip Chida, Richard Steen, Rumbidzo Makandwa, Sungai T Chabata, Albert Takura, Amber Sheets, Raymond Yekeye and 4 more

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Article in Journal of the International AIDS Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

14 authors.

Frances M CowanLiverpool School of Tropical Medicine, Liverpool, UK.ORCID https://orcid.org/0000-0003-3087-4422
Sithembile MusemburiCentre for Sexual Health and HIV AIDS Research Zimbabwe, Harare, Zimbabwe.
Primrose MatambanadzoCentre for Sexual Health and HIV AIDS Research Zimbabwe, Harare, Zimbabwe.
Phillip ChidaCentre for Sexual Health and HIV AIDS Research Zimbabwe, Harare, Zimbabwe.
Richard SteenLiverpool School of Tropical Medicine, Liverpool, UK.ORCID https://orcid.org/0000-0002-0798-022X
Rumbidzo MakandwaCentre for Sexual Health and HIV AIDS Research Zimbabwe, Harare, Zimbabwe.
Sungai T ChabataCentre for Sexual Health and HIV AIDS Research Zimbabwe, Harare, Zimbabwe.ORCID https://orcid.org/0000-0001-7629-1543
Albert TakuraCentre for Sexual Health and HIV AIDS Research Zimbabwe, Harare, Zimbabwe.
Amber SheetsPopulation Services International, Washington, DC, USA.
Raymond YekeyeNational AIDS Council Zimbabwe, Harare, Zimbabwe.
Owen MugurungiMinistry of Health and Child Care, Harare, Zimbabwe.
Bernadette HensenInstitute of Tropical Medicine, Antwerp, Belgium.
Joanna BuszaLondon School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-6334-0318
James R HargreavesLondon School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-3509-3572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe used a Programme Science platform, to generate evidence to support the implementation of programmes for sex workers in Africa. Female sex workers are estimated to make up 1.6% (1.3%-1.8%) of the population of women aged 15-49 years in Zimbabwe. We highlight how programme science can be used to help distinguish between when, where and with whom programmes need to be implemented and discuss two case studies that exemplify implementing better (Case study 1 (1 June 2019-30 June 2021) Optimizing implementation of a risk differentiated microplanning intervention) and implementing differently (Case study 2 (1 October 2016-30 September 2022) Reorientating implementation of DREAMS for young women selling sex).

methodsZimbabwe's nationally scaled programme for sex workers was established in 2009 in partnership with sex workers to provide comprehensive services for sex workers and generate evidence for programme design, implementation and scale up. Since inception, comprehensive data have been collected from all sex workers seeking services. As the scope of service provision has expanded so has the scope of data collection and analysis. At enrolment, sex workers are assigned an alphanumeric unique identifier which links consultations within and across programme sites. We conduct descriptive analyses of the Key Population (KP) programme data to guide programme implementation and redesign, embedding programmatic qualitative enquiry as required.

resultsTwo case studies describing different approaches to programme optimization are presented. In the first, an optimization exercise was used to strengthen programme implementation ensuring that the KP programme got back on track after SARS-COV-2. In the second, an in-depth review of research and programme data led to a re-orientation of the DREAMS programme to ensure that young women at the highest risk of HIV acquisition were enrolled and had access to DREAMS social support interventions in turn strengthening their uptake of HIV prevention.

conclusionsOptimizing and sustaining HIV care and treatment programmes requires effective delivery with sufficient scale and intensity for population impact. Our programme science approach guided the scale up of the KP programme in Zimbabwe, providing evidence to support strategy, implementation and ongoing management, and importantly helping us distinguish between when we needed to just implement, implement better or implement differently.

Indexed as

HIV InfectionsSex WorkersAdolescentAdultFemaleHumansMiddle AgedSex WorkYoung AdultZimbabweAfricaHIV careHIV preventionprogramme implementationProgramme Sciencesex workers

Identifiers

PMID38988032
PMCPMC11236902

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LicenceCC BY
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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.