Evidence map›Paper›PMID 32270007›Full record

ArticlemHealth2020

Facilitators and barriers to incorporating digital technologies into HIV care among cisgender female sex workers living with HIV in South Africa.

William X You, Carly A Comins, Brooke A Jarrett, Katherine Young, Vijayanand Guddera, Deliwe R Phetlhu, Ntambue Mulumba, Mfezi Mcingana, Harry Hausler, Stefan Baral and 1 more

Abstract read
In one paragraph

Article in mHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
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  7. Article
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  11. Article
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  15. Health Chatbots in Africa: Scoping Review.Journal of medical Internet research · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

11 authors.

William X YouJohns Hopkins Bloomberg School of Public Health, Key Populations Program, Center for Public Health and Human Rights, Department of Epidemiology, Baltimore, USA.
Carly A CominsJohns Hopkins Bloomberg School of Public Health, Key Populations Program, Center for Public Health and Human Rights, Department of Epidemiology, Baltimore, USA.
Brooke A JarrettJohns Hopkins Bloomberg School of Public Health, Key Populations Program, Center for Public Health and Human Rights, Department of Epidemiology, Baltimore, USA.
Katherine YoungTB HIV Care, Cape Town, South Africa.
Vijayanand GudderaTB HIV Care, Durban, South Africa.
Deliwe R PhetlhuUniversity of Western Cape, School of Nursing, Cape Town, South Africa.
Ntambue MulumbaTB HIV Care, Durban, South Africa.
Mfezi McinganaTB HIV Care, Cape Town, South Africa.
Harry HauslerTB HIV Care, Cape Town, South Africa.
Stefan BaralJohns Hopkins Bloomberg School of Public Health, Key Populations Program, Center for Public Health and Human Rights, Department of Epidemiology, Baltimore, USA.
Sheree SchwartzJohns Hopkins Bloomberg School of Public Health, Key Populations Program, Center for Public Health and Human Rights, Department of Epidemiology, Baltimore, USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Examining PrEP use, implementation preferences and the potential for social support to improve PrEP delivery and persistence among female sex workers in Durban, South AfricaR01NR016650 · NINR · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2016 to 2020
$3.2M
NIAID NIH HHS P30 AI094189NINR NIH HHS R01 NR016650
6 · The paper itself

Abstract

backgroundAn estimated 44-69% of female sex workers (FSW) in South Africa are living with HIV, among whom 39% are virally suppressed. Digital technologies-increasingly advanced and accessible to marginalized populations-present new opportunities to improve the HIV care continuum. The objective of this study was to explore potential facilitators and barriers to incorporating mobile phones and advanced technologies (e.g., biometric identification methods, mobile phone applications for social media and other uses, and chatbots) to deliver HIV-related interventions to cisgender FSW living with HIV in Durban, South Africa.

methodsFour semi-structured, focus group discussions (FGDs) were conducted with 22 cisgender FSWs in December 2018. Participants were recruited from the ongoing Siyaphambili trial using maximum variation sampling to optimize diversity in participant age and sex work venue. FGDs were audio recorded in isiZulu, and translated and transcribed into English. Transcripts were inductively coded using thematic analysis and sub-themes were iteratively refined to connect and evaluate the saliency of codes.

resultsPhone ownership was motivated by a desire to remain safe and to connect with family, peers, and clients. When FSW did not have access to a mobile phone, they reported sharing phones with their peers, though sharing only occurred under specific conditions. Still, to integrate mobile phones into HIV care, FSW identified consistent access to mobile phones as a key barrier. Mobile phone turnover due to frequent selling of phones to meet other financial priorities, substance use, and theft were common. To integrate advanced technologies into HIV care, FSW identified convenience, security, and additional opportunities for social support as the main facilitators. For example, FSW described how biometric identification at clinics could eliminate the need to retain a clinic card. FSW also described how chatbots could easily set medication alarms or be available to assist in emergencies. Barriers for advanced technologies included maintaining privacy, potential threats to security, and cost.

conclusionsFSWs were receptive to digital technologies for HIV care and beyond, but they also described many barriers such as inconsistent phone ownership and threats to privacy. As phone ownership grows and HIV programs increasingly leverage digital tools, strong considerations are needed to ensure the most vulnerable are not systematically excluded.

Indexed as

biometric identificationcontinuity of patient careHIVSex workSouth Africatechnologytelemedicine

Identifiers

PMID32270007
PMCPMC7136657

What OpenQuestion holds

Textmetadata
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.