Evidence map›Paper›PMID 39903929›Full record

ArticleThe American journal of tropical medicine and hygiene2025

Sociodemographic and Psychosocial Factors Influencing COVID-19 Testing Uptake: Insights from Urban and Rural Communities in South Africa.

Nokhanyo Xaba, Onaiza Qureshi, Aneeta Pasha, Amyn Malik, Anne Hoppe, Zaw Myo Tun, National Fynn, Goodman Sibeko, Saira Khowaja, Aamir Javed Khan

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Nokhanyo XabaInteractive Research & Development (IRD), South Africa, Durban, South Africa.
Onaiza QureshiInteractive Research & Development (IRD), Pakistan, Karachi, Pakistan.
Aneeta PashaInteractive Research & Development (IRD), South Africa, Durban, South Africa.
Amyn MalikInteractive Research & Development (IRD) Global, Singapore.
Anne HoppeFIND, Geneva, Switzerland.
Zaw Myo TunInteractive Research & Development (IRD) Global, Singapore.
National FynnInteractive Research & Development (IRD), South Africa, Durban, South Africa.
Goodman SibekoDepartment of Psychiatry, University of Cape Town, Cape Town, South Africa.
Saira KhowajaInteractive Research & Development (IRD) Global, Singapore.
Aamir Javed KhanInteractive Research & Development (IRD) Global, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access, demand, and acceptance of coronavirus disease 2019 (COVID-19) testing have varied globally. This study explored the sociodemographic and psychosocial risk factors that contribute to the uptake of COVID-19 testing in community settings in South Africa. This paper presents a cross-sectional secondary analysis using data from a cluster randomized controlled trial and a nested perception survey of COVID-19 antigen testing in communities located in urban (eThekwini, KwaZulu-Natal) and rural settings (Worcester, Eastern Cape) in South Africa. Individuals who were reluctant to get tested participated in the perception survey. Data were analyzed using descriptive statistics and multivariable logistic regression to assess linear associations and estimate adjusted odds ratios (ORs). The analysis was conducted on 3,074 individuals, of whom 2,509 (81.6%) provided consent for COVID-19 testing. Among those, 2,505 (81.5%) tested negative, and 4 (0.1%) tested positive for COVID-19. The mean age of participants was 38 (SD = 14.61), and 57% were male. Females (OR: 1.27; 95% CI = 1-1.6), individuals older than 56 years (OR: 1.95; 95% CI = 1.24-3.07), and those who were vaccinated (OR: 1.99; 95% CI = 1.53-2.60) were more likely to consent. Individuals who had previously tested positive for severe acute respiratory syndrome coronavirus 2 were less likely to consent to testing (OR: 0.64; 95% CI = 0.11-0.46). No link was found between depression, anxiety, substance use, and willingness to undergo COVID-19 testing. A perceptions survey involving 704 participants, which explored factors influencing testing willingness, found that older adults, and urban populations were less likely to undergo COVID-19 testing. Targeted health campaigns may improve testing rates. Larger-scale implementation research is required to explore best practices for improving testing rates and confidence in population-level detection within South Africa.

Indexed as

COVID-19COVID-19 TestingPatient Acceptance of Health CareRural PopulationUrban PopulationAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2Sociodemographic FactorsSouth Africa

Identifiers

PMID39903929
PMCPMC11965710

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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.