Evidence map›Paper›PMID 34522430›Full record

ArticleSouthern African journal of HIV medicine2021

Geographical variation in HIV testing in South Africa: Evidence from the 2017 national household HIV survey.

Sean Jooste, Musawenkosi Mabaso, Myra Taylor, Alicia North, Yolande Shean, Leickness C Simbayi, Tarylee Reddy, Leonard Mwandingi, Tenielle Schmidt, Portia Nevhungoni and 2 more

Abstract read
In one paragraph

Article in Southern African journal of HIV medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

12 authors.

Sean JoosteHuman Sciences Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-3984-5997
Musawenkosi MabasoHuman Sciences Research Council, Durban, South Africa.ORCID https://orcid.org/0000-0002-9475-2048
Myra TaylorSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0003-3087-2240
Alicia NorthHuman Sciences Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2301-1226
Yolande SheanHuman Sciences Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-1596-5617
Leickness C SimbayiHuman Sciences Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-6136-4092
Tarylee ReddySouth African Medical Research Council, Durban, South Africa.ORCID https://orcid.org/0000-0002-9521-2692
Leonard MwandingiHuman Sciences Research Council, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-1078-0958
Tenielle SchmidtHuman Sciences Research Council, Durban, South Africa.ORCID https://orcid.org/0000-0001-5009-500X
Portia NevhungoniSouth African Medical Research Council, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-3309-830X
Samuel MandaSouth African Medical Research Council, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-9672-3312
Khangelani ZumaHuman Sciences Research Council, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-4492-5083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of the geographical areas with low uptake of HIV testing could assist in spatial targeting of interventions to improve the uptake of HIV testing.

objectivesThe objective of this research study was to map the uptake of HIV testing at the district level in South Africa.

methodThe secondary analysis used data from the Human Sciences Research Council's 2017 National HIV Prevalence, Incidence, Behaviour and Communication Survey, where data were collected using a multistage stratified random cluster sampling approach. Descriptive spatial methods were used to assess disparities in the proportion of those ever tested for HIV at the district level in South Africa.

resultsThe districts with the highest overall coverage of people ever having tested for HIV (> 85%) include West Rand in Gauteng, Lejweleputswa and Thabo Mofutsanyane in Free State, and Ngaka Modiri Molema in North-West. These provinces also had the least variation in HIV testing coverage between their districts. Districts in KwaZulu-Natal had the widest variation in coverage of HIV testing. The districts with the lowest uptake of HIV testing were uMkhanyakude (54.7%) and Ugu (61.4%) in KwaZulu-Natal and Vhembe (61.0%) in Limpopo. Most districts had a higher uptake of HIV testing amongst female than male participants.

conclusionThe uptake of HIV testing across various districts in South Africa seems to be unequal. Intervention programmes must improve the overall uptake of HIV testing, especially in uMkhanyakude and Ugu in KwaZulu-Natal and Vhembe in Limpopo. Interventions must also focus on enhancing uptake of HIV testing amongst male participants in most districts. Strategies that would improve the uptake of HIV testing include HIV self-testing and community HIV testing, specifically home-based testing.

Indexed as

districtsHIVHIV testingSouth Africanthematic mapping

Identifiers

PMID34522430
PMCPMC8424727

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.