Evidence map›Paper›PMID 31940360›Full record

ArticlePloS one2020

Modelling the impact of migrants on the success of the HIV care and treatment program in Botswana.

Tafireyi Marukutira, Nick Scott, Sherrie L Kelly, Charles Birungi, Joseph M Makhema, Suzanne Crowe, Mark Stoove, Margaret Hellard

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. 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

8 authors at 3 institutions in 3 countries.

Tafireyi MarukutiraBurnet Institute, Melbourne, Australia.ORCID 0000-0003-1142-6114
Nick ScottBurnet Institute, Melbourne, Australia.ORCID 0000-0002-9213-0798
Sherrie L KellyBurnet Institute, Melbourne, Australia.ORCID 0000-0002-6232-5586
Charles BirungiUNAIDS, Gaborone, Botswana.
Joseph M MakhemaBotswana Harvard Partnership, Gaborone, Botswana.
Suzanne CroweBurnet Institute, Melbourne, Australia.
Mark StooveBurnet Institute, Melbourne, Australia.
Margaret HellardBurnet Institute, Melbourne, Australia.
Burnet Institute · AUBotswana Harvard AIDS Institute Partnership · BWUniversity of Botswana · BW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBotswana offers publicly financed HIV treatment to citizens, but not migrants, who comprised about 7% of the population in 2016. However, HIV incidence is not declining in proportion to Botswana's HIV response. In 2018, Botswana had 86% of citizens living with HIV diagnosed, 95% of people diagnosed on treatment, and 95% viral suppression among those on treatment. We hypothesised that continued exclusion of migrants is hampering reduction of HIV incidence in Botswana. Hence, we modelled the impact of including migrants in Botswana's HIV response on achieving 90-90-90 and 95-95-95 Fast-Track targets by 2020 and 2030, respectively.

methodsThe Optima HIV model, with demographic, epidemiological, and behavioural inputs, was applied to citizens of and migrants to Botswana. Projections of new HIV infections and HIV-related deaths were compared for three scenarios to the end of 2030: (1) continued status quo for HIV testing and treatment coverage, and maintenance of levels of linkage to care, loss to follow-up, and viral suppression among citizens and migrants (baseline); (2) with scaled-up budget, optimised to achieve 90-90-90 and 95-95-95 Fast-Track targets by 2020 and 2030, respectively, for citizens only; and (3) scaled-up optimised budget to achieve these targets for both citizens and migrants.

resultsA baseline of 172,000 new HIV infections and 8,400 HIV-related deaths was projected over 2020-2030. Scaling up to achieve targets among citizens only averted an estimated 48,000 infections and 1,700 deaths. Achieving targets for both citizens and migrants averted 16,000 (34%) more infections and 442 (26%) more deaths. Scaling up for both populations reduced numbers of new HIV infections and deaths by 44% and 39% respectively compared with 2010 levels. Treating migrants when scaling up in both populations was estimated to cost USD 74 million over 2020-2030.

conclusionsProviding HIV services to migrants in Botswana could lead to further reductions in HIV incidence and deaths. However, even with an increased, optimised budget that achieves 95-95-95 targets for both citizens and migrants by 2030, the 90% incidence reduction target for 2020 will be missed. Further efficiencies and innovations will be needed to meet HIV targets in Botswana.

Indexed as

Models, StatisticalOutcome Assessment, Health CareBotswanaCalibrationHIV InfectionsHumansTransients and Migrants

Identifiers

PMID31940360
PMCPMC6961860
OpenAlexW2998844227

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.