Evidence map›Paper›PMID 37880641›Full record

ArticleBMC public health2023

Differences between persons with and without disability in HIV prevalence, testing, treatment, and care cascade in Tanzania: a cross-sectional study using population-based data.

David Chipanta, Sophie Mitra, Silas Amo-Agyei, Minerva Rivas Velarde, Kofi Amekudzi, Connie Osborne, Janne Estill, Olivia Keiser

Abstract read
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Article in BMC public health, 2023. 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
–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, 1 synthesis or guideline pooled it.

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  5. Observational
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.

David ChipantaUniversity of Geneva, Geneva, Switzerland. chipantad@unaids.org.
Sophie MitraFordham University, New York, USA.
Silas Amo-AgyeiUniversity of Lausanne, Lausanne, Switzerland.
Minerva Rivas VelardeUniversity of Geneva, Geneva, Switzerland.
Kofi AmekudziInternational Labour Organisation, Geneva, Switzerland.
Connie OsborneNational HIV/AIDS/STI/TB Council, Lusaka, Zambia.
Janne EstillUniversity of Geneva, Geneva, Switzerland.
Olivia KeiserUniversity of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons with disability may have a higher HIV prevalence and be less likely than persons without disability to know their HIV-positive status, access antiretroviral therapy (ART), and suppress their HIV viral load (HIV care cascade). However, studies examining differences between persons with and without disability in HIV prevalence and the HIV care cascade are lacking. Using the Tanzania HIV Impact Survey (THIS) data collected between October 2016 and August 2017, we assessed differences in HIV prevalence and progress towards achieving the 2020 HIV care cascade target between persons with and without disability.

methodsUsing the Washington Group Short Set (WG-SS) Questions on Disability, we defined disability as having a functional difficulty in any of the six life domains (seeing, hearing, walking/climbing, remembering/ concentrating, self-care, and communicating). We classified respondents as disabled if they responded having either "Some Difficulty", "A lot of difficulties" or "Unable to" in any of the WG-SS Questions. We presented the sample characteristics by disability status and analyzed the achievement of the cascade target by disability status, and sex. We used multivariable logistic regressions, and adjusted for age, sex, rural-urban residence, education, and wealth quintile.

resultsA total of 31,579 respondents aged 15 years and older had HIV test results. Of these 1,831 tested HIV-positive, corresponding to an estimated HIV prevalence of 4.9% (CI: 4.5 - 5.2%) among the adult population in Tanzania. The median age of respondents who tested HIV-positive was 32 years (with IQR of 21-45 years). HIV prevalence was higher (5.7%, 95% CI: 5.3-7.4%) among persons with disability than persons without disability (4.3%, 95% CI: 4.0 - 4.6%). Before adjustment, compared to women without disability, more women with disability were aware of their HIV-positive status (n = 101, 79.0%, 95% CI: 68.0-87.0% versus n = 703, 63.0%, 95% CI: 59.1-66.7%) and accessed ART more frequently (n = 98, 98.7%, 95% CI: 95.3-99.7% versus n = 661, 94.7%, 95% CI: 92.6-96.3%). After adjusting for socio-demographic characteristics, the odds of having HIV and of accessing ART did not differ between persons with and without disability. However, PLHIV with disability had higher odds of being aware of their HIV-positive status (aOR 1.69, 95% 1.05-2.71) than PLHIV without disability. Men living with HIV and with disability had lower odds (aOR = 0.23, 95% CI: 0.06-0.86) to suppress HIV viral loads than their counterparts without disability.

conclusionWe found no significant differences in the odds of having HIV and of accessing ART between persons with and without disability in Tanzania. While PLHIV and disability, were often aware of their HIV-positive status than their non-disabled counterparts, men living with HIV and with disability may have been disadvantaged in having suppressed HIV viral loads. These differences are correctable with disability-inclusive HIV programming. HIV surveys around the world should include questions on disability to measure potential differences in HIV prevalence and in attaining the 2025 HIV care cascade target between persons with and without disability.

Indexed as

HIV InfectionsPersons with DisabilitiesAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceTanzaniaYoung Adult95-95-95 targetDisability-inclusive-policiesHIV testing, care cascade, UNAIDS 90-90-90 targetLeave no one behindPersons with disability

Identifiers

PMID37880641
PMCPMC10601322

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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.