Evidence map›Paper›PMID 34189856›Full record

ArticleJournal of the International AIDS Society2021

Bringing HIV services to key populations and their communities in Tanzania: from pilot to scale.

Haruka Maruyama, Julie Franks, Damian Laki, Omari Msumi, Neema Makyao, Oscar E Rwabiyago, Miriam Rabkin, Magreth J Kagashe, Wafaa M El-Sadr

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
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  8. Article
  9. Key populations are the future of the African HIV/AIDS pandemic.Journal of the International AIDS Society · 2021
    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

9 authors at 4 institutions in 3 countries.

Haruka MaruyamaICAP at Columbia University, Dar es Salaam, Tanzania.
Julie FranksMailman School of Public Health, ICAP at Columbia University, New York, NY, USA.ORCID 0000-0001-6329-2301
Damian LakiICAP at Columbia University, Dar es Salaam, Tanzania.
Omari MsumiICAP at Columbia University, Dar es Salaam, Tanzania.
Neema MakyaoNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC), Dodoma, Tanzania.
Oscar E RwabiyagoCenters for Disease Control and Prevention in Tanzania, Dar es Salaam, Tanzania.
Miriam RabkinMailman School of Public Health, ICAP at Columbia University, New York, NY, USA.ORCID 0000-0002-2342-4362
Magreth J KagasheNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC), Dodoma, Tanzania.
Wafaa M El-SadrMailman School of Public Health, ICAP at Columbia University, New York, NY, USA.ORCID 0000-0003-3735-9781
ICAP Global HealthUniversity of Dar es Salaam · TZMinistry of Health, Community Development, Gender, Elderly and Children · TZCenters for Disease Control and Prevention · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite the global scale-up of HIV testing, prevention and treatment, these services remain inaccessible to groups most vulnerable to HIV. Globally, most new HIV infections are concentrated among members of key populations (KP), including female sex workers, men who have sex with men, transgender people, people who inject drugs and their sexual partners. These populations lag in access to HIV prevention and antiretroviral therapy (ART) and have less favourable HIV outcomes compared to the general population. Intersecting behavioural and structural factors contribute to these gaps in service access for at-risk KP and those living with HIV; corresponding comprehensive approaches to improving service delivery for KP are urgently needed. Differentiated service delivery (DSD) models tailor HIV programmes to the needs and preferences of specific groups but are rarely implemented at scale for KP. We describe the FIKIA Project, which implemented innovative approaches to scaling up DSD models to reach and engage KP in Tanzania.

methodsThe FIKIA Project worked with diverse KP communities in Tanzania to tailor HIV services to their needs and to pair healthcare workers with trained peer educators and expert client counsellors to expand uptake of community-based HIV testing and ART services. We analysed routine aggregate project data from 2016 to 2020 to describe project implementation, outcomes and best practices. RESULTS AND DISCUSSION: The FIKIA Project conducted 1,831,441 HIV tests in community settings; of the 98,349 (5.4%) individuals with new HIV diagnoses, 89,640 (91.1%) initiated ART. The project reached substantial numbers of KP: 203,233 received HIV tests, 28,830 (14.2%) received a new HIV diagnosis and 25,170 KP (87.3%) initiated ART at the point of diagnosis. Over time, HIV testing increased by 1.6 times overall (2.3 times among KP), HIV diagnoses increased by 8.7 times (10.9 times among KP) and ART initiation at the point of diagnosis increased from 80.0% to 95.9% overall (from 69.6% to 94.9% among KP).

conclusionsOver four years, the FIKIA Project scaled up HIV testing, diagnosis and treatment by using DSD principles to design services that meet the needs of KP and their communities.

Indexed as

HIV InfectionsSexual and Gender MinoritiesSex WorkersFemaleHomosexuality, MaleHumansMaleTanzaniacommunitydifferentiated careHIV care continuumkey and vulnerable populationslinkage to caretesting

Identifiers

PMID34189856
PMCPMC8242965
OpenAlexW3174114662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.