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Record W2338788598 · doi:10.1097/qai.0000000000001016

One in 4 HIV-Positive South Africans Awaiting ART Initiation Report Condomless Sex With a Serodiscordant Partner

2016· article· en· W2338788598 on OpenAlexaffabout
Paul A. Shuper, Sandy Pillay, Susan MacDonald, Sarah Christie, Deborah H. Cornman, William A. Fisher, Jeffrey D. Fisher

Bibliographic record

VenueJAIDS Journal of Acquired Immune Deficiency Syndromes · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsPublic Health OntarioUniversity of TorontoWestern UniversityCentre for Addiction and Mental Health
FundersNational Institute of Mental Health
KeywordsSerodiscordantMedicinePublic healthFeelingDemographyHuman immunodeficiency virus (HIV)Transmission (telecommunications)Family medicineAntiretroviral therapyViral loadPsychologyNursingSocial psychology

Abstract

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To the Editors: As a result of concerted public health efforts, more than 2 million HIV-positive South Africans are now receiving antiretroviral therapy (ART).1 Despite this achievement, a proportion of South Africans who test HIV positive and are successfully linked to care are not promptly initiated on ART, because of structural factors such as CD4 cell count–based treatment guidelines,2 insufficient clinic staffing and resources,3,4 and requirements to complete protracted HIV literacy training before commencing treatment,5,6 as well as social factors such as treatment refusal,7 which may stem from underlying feelings of wellness8,9 or depression.10 Patients falling into this treatment gap are unable to capitalize on the primary and secondary prevention benefits associated with ART's rapid viral suppression,11–15 and continued sexual risk behavior among this subgroup thus poses considerable individual and public health consequences for the South African HIV epidemic. Although a small number of recent investigations have examined patterns of sexual behavior among people living with HIV (PLWH) in South Africa who are linked to care but untreated,16–19 very little is known about the extent to which behaviors with the potential for HIV transmission are prevalent in this group, and the factors that underlie such high-risk acts. The goals of the present study were to (1) assess the prevalence of serodiscordant condomless sex (ie, involving HIV-negative and status unknown partners) among tested-but-not-treated South African PLWH; (2) quantify the transmission-related consequences of this behavior by identifying the number of serodiscordant partners exposed to HIV; and (3) identify possible drivers of risk. At 4 public health care facilities in 2 South African districts burdened by very high HIV prevalence—uMgungundlovu and uMkhanyakude, KwaZulu-Natal20—HIV-positive patients who were tested, linked to care, and awaiting ART initiation were approached during routine clinical care visits (when obtaining isoniazid preventive therapy, CD4 test results, etc.) to take part in a prevention-with-positives intervention pilot. This pilot study, which commenced in 2011 and focused only on tested-but-not-treated PLWH, was funded as a supplement21 to a larger randomized controlled trial that involved South African PLWH who had already been initiated on ART.22 Individuals were deemed as eligible for the intervention pilot if they were (1) 18 years of age or older; (2) HIV positive; (3) linked to care at 1 of the 4 sites; and (4) not yet eligible for ART based on the national treatment guidelines at the time [ie, CD4 cell count >250 (or >350 if pregnant)].23 Participating PLWH completed an isiZulu or English touchscreen–based audio computer-assisted self-interview that assessed vaginal and anal sex during the past 4 weeks, and potential correlates of risk including demographics, comorbidities (eg, alcohol use,24 perceived physical and mental health,25 and depression26), information–motivation–behavioral skills model constructs, and other behavioral factors (eg, HIV-related stigma, perceived power to use/negotiate condoms) (see Refs. 22,27,28 for details). For information–motivation–behavioral constructs, “information” items assessed HIV prevention-related knowledge; “motivation” items identified condom-related attitudes and supportive norms for condom use; and “behavioral skills” items queried perceived skills and efficacy regarding the performance of HIV-preventive acts.27 CD4 cell counts and relevant clinical factors were extracted from medical charts. Univariable logistic regression identified correlates of engaging in serodiscordant condomless sex during the past 4 weeks. Factors demonstrating univariable associations significant at P < 0.10, as well as participant gender, were included in a multivariable logistic regression model to identify independent predictors of serodiscordant condomless sex. Study procedures were approved by institutional review boards at the University of Connecticut (United States), University of KwaZulu-Natal (South Africa), and Centre for Addiction and Mental Health (Canada). A total of 410 HIV-positive patients (290 women, 120 men) completed the audio computer-assisted self-interview. Because our measure queried sexual behavior over the past 4 weeks, we focused on the 276 patients (203 women, 73 men; 67.3%) who had been diagnosed with HIV for at least 28 days to specifically identify serodiscordant condomless sex that had occurred subsequent to HIV diagnosis. Data were excluded from 8 participants (7 women, 1 man; 2.9%) due to nonresponses to sexual behavior questions, and from 2 participants (1 woman, 1 man; 0.7%) due to apparent touchscreen issues. Final analyses were based on a sample of 266 (195 woman, 71 men). Participants' mean age was 31.3 (SD = 8.4), the majority (n = 250, 94.0%) identified as “Black-Zulu,” most were unemployed (n = 176, 66.2%) and lived in a rural area (n = 170, 63.9%), and a third (n = 89, 33.7%) lived with a sex partner. Mean number of days since HIV diagnosis was 97.9 (SD = 54.7) and mean CD4 cell count was 516.6 (SD = 229.8). Only 9.6% of participants (n = 25) had commenced clinic-based HIV literacy training required for ART initiation, and none had initiated treatment. Self-reported comorbidities included hazardous alcohol consumption (AUDIT24 ≥8 men, ≥6 women) and depressive symptomatology (CESD ≥1526), identified among 14.3% (n = 36) and 22.3% (n = 55) of the sample, respectively. A total of 182 participants [n = 182/266 (68.4%); n = 129/195 women (66.2%), n = 53/71 men (74.6%)] reported engaging in 766 sexual acts with 201 partners during the past 4 weeks. Approximately 2 in 5 participants [n = 101/266 (38.0%); n = 65/195 women (33.3%), n = 36/71 men (50.7%)] indicated that they had condomless sex during that timeframe, and this subsample reported 371 condomless acts with 107 partners. Serodiscordant condomless sex was indicated by 1 in 4 participants [n = 66/266 (24.8%); n = 46/195 women (23.6%), n = 20/71 men (28.2%)] who reported a total of 207 condomless acts with 66 serodiscordant partners during the 4-week period. As shown in Table 1, univariable logistic regression demonstrated that serodiscordant condomless sex was significantly associated with poorer HIV prevention-related knowledge, negative condom-related attitudes, poorer supportive norms for condom use, poorer perceived condom use skills, lower perceived power to negotiate condom use, and greater likelihood of hazardous alcohol consumption. Factors found to be independently associated with serodiscordant condomless sex as demonstrated by multivariable logistic regression included poorer supportive norms for condom use, lower perceived power to negotiate condom use, and greater likelihood of hazardous alcohol consumption.TABLE 1.: Factors Associated With Serodiscordant Condomless Sex During the Past 4 Weeks: Univariable and Multivariable Logistic RegressionFindings provide a compelling justification for an immediate test-and-treat approach to be implemented in South African clinical care settings. This approach is consistent with mathematical models demonstrating that the elimination of HIV in South Africa can be achieved through universal testing together with immediate ART initiation.14 Although several logistic, economic, and psychosocial challenges are inherent in this approach,8,29 given the number of serodiscordant partners identified in our study as being potentially exposed to HIV, and recognizing that our untreated PLWH participants were linked to clinical care, our results suggest that not offering immediate ART on diagnosis entails a missed opportunity for reducing incident HIV in South Africa. Findings also suggest the imperative to deliver behavioral prevention efforts at the time of HIV diagnosis if an immediate test-and-treat approach is unfeasible (ie, in resource-constrained settings). For example, as hazardous alcohol consumption was associated with a greater than 3-fold increase in the likelihood of serodiscordant condomless sex, the implementation of alcohol screening and brief interventions could help reduce both alcohol use and engagement in high-risk sex.30,31 Similarly, evidence-based behavioral interventions that establish normative support for condoms and provide skills that empower safer sex negotiation could further help curtail HIV transmission.22 Study limitations include a cross-sectional design, a sample size that precluded separate multivariable modeling for female and male PLWH, and the employment of self-report measures to assess sexual behavior and perceived partner serostatus. Additionally, given that this research was conducted in high HIV prevalence regions, it is possible that some of the sexual partners who were reported as being of unknown HIV status may in fact have been HIV positive, thus potentially resulting in an elevated estimate of the number of individuals potentially exposed to HIV. Finally, as our patients were shown to have relatively high CD4 cell counts, our sample may not be fully reflective of PLWH awaiting treatment in other South African clinical care settings. Nevertheless, the present investigation is the first to quantify HIV exposure associated with sexual behavior among tested-but-not-treated South African PLWH, and it provides the much needed insight into the underpinnings of serodiscordant condomless sex occurring among this population. At this crucial time when an increasing number of South Africans are testing for HIV and entering care, instituting immediate test-and-treat when feasible, and providing behavioral prevention efforts to “fill” remaining treatment gaps, will be especially advantageous for reducing onward transmission of HIV.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0130.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.303
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2016
Admission routes2
Has abstractyes

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