Evidence map›Paper›PMID 39254147›Full record

ArticleWomen's health (London, England)

Understanding HIV service preferences of South African women 30-49 years old missing from or linked to care: An exploratory study of Gauteng and Limpopo provinces.

Aneesa Moolla, Michael Galvin, Constance Mongwenyana, Jacqui Miot, William Magolego, Patricia Leshabana, Nkosinathi Ngcobo, Nalini Naidoo, Lezanie Coetzee

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Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Aneesa MoollaHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.
Michael GalvinHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.ORCID 0000-0003-2123-5020
Constance MongwenyanaHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.ORCID 0000-0001-8582-1235
Jacqui MiotHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.ORCID 0000-0001-7070-3826
William MagolegoHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.
Patricia LeshabanaHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.
Nkosinathi NgcoboHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.
Nalini NaidooHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.
Lezanie CoetzeeHealth Economics and Epidemiology Research Office, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe HIV epidemic in sub-Saharan Africa has a disproportionate gender impact, with women bearing the brunt of the epidemic. South Africa carries the largest share of the global HIV burden, with similar trends seen for women due to unequal socio-cultural and economic status.

objectivesThis study aims to understand 30-49 year-old women's barriers and facilitators to accessing HIV services in order to maximize health in resource limited settings and reach women missing from HIV care.

designEmploying a convenience sampling strategy, we recruited, informed, and consented participants at clinics and public areas. Interviews were conducted in respondent's preferred languages, transcribed verbatim, translated into English if needed, and thematically analyzed using grounded theory.

methodsWe conducted 81 interviews with women aged 30-49 either missing from care (

resultsParticipants missing from care reported negative staff attitudes, queues, family rejection, medication side effects, and painful blood tests as key deterrents. Participants with an unknown status were deterred by fear of being diagnosed as HIV positive and family rejection, which was similar to women missing from care who often dropped out from care due to actual family rejection. Participants linked to care reported that long queues and staff shortages were challenges but stayed in care due to a will to live for themselves and their children, in addition to counselling and feeling emotionally supported. Interestingly, participants missing from care often accessed medication from friends but, similarly to those with unknown status, noted that they would access care if attended to by supportive nurses and by having non-clinical HIV services.

conclusionsThe accounts of women in this research highlight significant improvements needed to address inequities in the fight against HIV in South Africa. Additionally, the healthcare service access preferences of women aged 30-49 need to be further explored quantitatively in order to design policy relevant interventions.

Indexed as

Health Services AccessibilityHIV InfectionsAdultFemaleHumansMiddle AgedPatient Acceptance of Health CarePatient PreferenceQualitative ResearchSouth AfricaHIVmissing from careSouth Africawomen

Identifiers

PMID39254147
PMCPMC11388305

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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.