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Key Words: voluntary assisted partner notification, HIV-positive yield, index case, Rwanda
Abstract
Background:
Voluntary assisted partner notification (VAPN) services that use contract, provider, or dual referral modalities may be efficient to identify individuals with undiagnosed HIV infection. We aimed to assess the relative effectiveness of VAPN modalities in identifying undiagnosed HIV infections.
Setting:
VAPN was piloted in 23 health facilities in Kigali, Rwanda.
Methods:
We identified individuals with a new HIV diagnosis before antiretroviral therapy initiation or individuals on antiretroviral therapy (index cases), who reported having had sexual partners with unknown HIV status, to assess the association between referral modalities and the odds of identifying HIV-positive partners using a Bayesian hierarchical logistic regression model. We adjusted our model for important factors identified through a Bayesian variable selection.
Results:
Between October 2018 and December 2019, 6336 index cases were recruited, leading to the testing of 7690 partners. HIV positivity rate was 7.1% (546/7690). We found no association between the different referral modalities and the odds of identifying HIV-positive partners. Notified partners of male individuals (adjusted odds ratio 1.84; 95% credible interval: 1.50 to 2.28) and index cases with a new HIV diagnosis (adjusted odds ratio 1.82; 95% credible interval: 1.45 to 2.30) were more likely to be infected with HIV.
Conclusion:
All 3 VAPN modalities were comparable in identifying partners with HIV. Male individuals and newly diagnosed index cases were more likely to have partners with HIV. HIV-positive yield from index testing was higher than the national average and should be scaled up to reach the first UNAIDS-95 target by 2030.
BACKGROUND
Rwanda has a strong national HIV programmatic response, leading to a stable national HIV prevalence of approximately 3%,1–3 and is on track to achieve the UNAIDS 95-95-95 target by 2030. The Rwanda Population-based HIV Impact Assessment of 2018–2019 estimated that 84% of all people living with HIV (PLHIV) know their status, 97% of whom are on antiretroviral therapy (ART), and of them, 90% are virally supressed.4 The study also estimated the HIV annual incidence among adults to be 0.08%,5 corresponding to approximately 5400 new infections per year.5 The scale-up of HIV services is characterized by diverse HIV testing modalities, resulting in a decrease in positivity rates from 11% in 2004 to 0.5% in 2020.6 With a low HIV testing yield, traditional passive means of providing HIV testing may be insufficient in reaching undiagnosed PLHIV.
Recent World Health Organization guidelines recommend active HIV case finding through voluntary assisted partner notification (VAPN) services through index cases.7 Partner notification includes passive approaches, where index cases are encouraged to notify the partner(s), or active approaches, where the initiative is entirely with the index case. The latter includes contract referral, where index cases enter into a contract with health care providers to disclose their HIV status to partner(s) and refer them for testing, and providers may contact the partner(s) if the case fails to do so. Provider referral is another modality where the provider confidentially contacts the partner(s) for testing, and dual referral occurs when the provider accompanies the index case in disclosure.7 Rwanda is the first African country to implement all 3 notification approaches.8
Active case-finding approaches showed benefits over passive referral modalities in some countries. Rwanda introduced assisted partner notification in 2018–2019, but no study has evaluated the comparative performance of different partner notification modalities. In this study, we compared partner notification approaches to assess their effectiveness in detecting undiagnosed PLHIV in Kigali, Rwanda.
METHODS
Study Population
This is an analysis of data from a public health program, which include index cases with a new HIV diagnosis and PLHIV on ART who reported sexual partners of unknown HIV status. Data were collected from 23 of 59 health facilities in Kigali, supported by the US President's Emergency Plan for AIDS Relief, offering a pilot contact tracing program. The Rwandan national HIV guidelines recommend clinical visits every 3 or 6 months for unstable or stable patients, respectively. During each clinical visit, every adult patient on ART (including those who reengage in HIV care) is routinely asked about sexual encounters with partners with unknown HIV status since the last visit. Individuals confirming such encounters during the past 12 months before clinical visits and newly identified individuals who initiate ART were considered as index cases and were then asked to consent for participation in the study for partner notification. Index cases were explained the notification modalities, and they could choose any of the 3 modalities (contract, provider, or dual referral). This study excluded index cases and sexual partners younger than 18 years and index cases at risk of intimate partner violence, as assessed by the health care provider conducting the screening.
Study Variables and Source
The primary outcome is the HIV status (positive/negative) of the partner invited through the assisted case-finding program. HIV testing followed the Rwandan national HIV guidelines.9 Among the 19 variables collected by the HIV program, a panel of local expert selected the following 12 factors that were believed to be potentially associated with our outcome partner relationship with the index case (spouse/husband/cohabitant, boyfriend/girlfriend, occasional/commercial sex worker/client of commercial sex worker, and others) and index case characteristics including age (younger than 25, 25–34, 35–44, and older than 45 years), sex (male/female), type of index case (new HIV diagnosis or already on ART), recent viral load (< or ≥1000 copies/mL within the 12-month time point), >1 sexual partner in the last 3 months (yes/no), vaginal or anal sex act without condoms in the last 12 months (yes/no), paid sex act in the last 12 months (yes/no), or received money or goods in exchange for sex act in the last 12 months (yes/no). In addition, information on the facility where the index case was diagnosed or cared for was collected such as the number of patients on ART at the health facility (<1000, 1000–2000, and >2000 patients), the number of health care practitioners per 10,000 populations at the health facility (<3, 3–6, and >6 practitioners), and health facility location (rural/urban). Data were extracted from the case reporting form by 1 nurse and keyed into the District Health Information System-2, a free, open-source health management data platform.
Statistical Analysis
We used a Bayesian hierarchical logistic regression model to assess the association of each referral modality on the HIV status after adjusting for index and health facility–related characteristics and while accounting for residual variability at the level of the index case and the health facility. Adjusting factors were selected within a Gibbs variable selection approach10 among a set of 12 potential factors as mentioned earlier. The model with the highest posterior probability was chosen to select the covariates and build a final model. The Markov chain Monte Carlo simulation was used to estimate model parameters. We reported posterior distribution with 95% credible interval (CI). Detailed model formulation and implementation are given in the Appendix (see Supplemental Digital Content 1, http://links.lww.com/QAI/B768). Analyses were completed using R software, version 3.6.1 and OpenBUGS software, version 3.2.3 rev 1012.
Ethical Consideration
Informed consent was obtained from each participant before inclusion in the study. The Rwanda National Ethics Committee approved the protocol for implementation.
RESULTS
Between October 1, 2018, and December 30, 2019, 6336 index cases who reported to have had sex act with a partner of unknown HIV status were identified. These individuals disclosed 11,633 partners (ratio of 1.8 partners per index case) of whom 89.7% (10,432/11,633) could be invited for testing at health facilities. Respondents to the invitation were 79.3% (8276/10,432) individuals, of whom 92.9% (7690/8276) accepted HIV testing. These identified partners related to 4507 index cases, of which 26.5% (1308/4507) were newly diagnosed and 73.5% (3.397/4507) were on ART. Among notified and tested partners, 33.9% (2605/7690) were contacted through contract referral, 44.1% (3394/7690) through provider referral, and 22.0% (1691/7690) through dual referral. Overall, 7.1% (546/7690) of the partners were newly tested positive for HIV. The percentage of HIV-positive partners detected from partner notification was 8.3% (217/2605) when notified through contract referral, 7.0% (238/3394) when notified through provider referral, and 5.4% (91/1691) when notified through dual referral. Higher rates of HIV-positive partners were seen when index cases were male individuals (9.4%), had a new HIV diagnosis (10.5%), or when index cases were cared for by larger health facilities (9.4%) or health facilities in urban areas (7.5%) (Table 1).
TABLE 1.
Characteristics of Index Cases, Notified Partners, and Number of Identified HIV-Positive Partners
No. of Notified Partners Tested for HIV | No. of HIV-Positive Partners Detected from Partner Notification (%) | |
Overall | 7690 | 546 (7.1) |
Characteristics of partners | ||
Used partner notification | ||
Contract referral | 2605 | 217 (8.3) |
Provider referral | 3394 | 238 (7.0) |
Dual referral | 1691 | 91 (5.4) |
Relationship between index and partner | ||
Spouse/husband/cohabitant | 1545 | 132 (8.5) |
Boyfriend/girlfriend | 728 | 75 (10.3) |
Occasional/FSW or client of FSW | 4602 | 272 (5.9) |
Others | 776 | 64 (8.2) |
Characteristics of index cases with partners who were notified and tested for HIV | ||
Age category, yrs | ||
Younger than 25 | 648 | 44 (6.8) |
25–34 | 2660 | 200 (7.5) |
35–44 | 2637 | 195 (7.4) |
Older than 45 | 1668 | 99 (5.9) |
Sex | ||
Male | 2934 | 277 (9.4) |
Female | 4756 | 269 (5.7) |
Type of index case | ||
New HIV diagnosis | 2192 | 230 (10.5) |
Already on ART | 5498 | 316 (5.7) |
Viral load suppression (recent) | ||
No viral load suppression (≥1000 copies/mL) | 608 | 40 (6.6) |
Viral load suppression (<1000 copies/mL) | 7082 | 506 (7.1) |
More than 1 sexual partner in the last 3 mo | ||
No | 7060 | 506 (7.2) |
Yes | 630 | 40 (6.3) |
Vaginal or anal sex act without condoms in the last 12 mo | ||
No | 5907 | 433 (7.3) |
Yes | 1783 | 113 (6.3) |
Paid sex act in the last 12 mo | ||
No | 6950 | 483 (6.9) |
Yes | 740 | 63 (8.5) |
Received money or goods in exchange for sex act in the last 12 mo | ||
No | 6897 | 502 (7.3) |
Yes | 793 | 44 (5.5) |
No. of patients on ART at health facility | ||
<1000 | 3172 | 148 (4.7) |
1000–2000 | 1630 | 126 (7.7) |
>2000 | 2888 | 272 (9.4) |
No. of health practitioners per 10,000 population within health facility | ||
<3 | 1388 | 105 (7.6) |
3–6 | 5102 | 397 (7.8) |
>6 | 1200 | 44 (3.7) |
Health facility location | ||
Rural | 959 | 42 (4.4) |
Urban | 6731 | 504 (7.5) |
FSW, female sex worker.
Sex and the type of index case were the 2 factors identified by the Bayesian Gibbs variable selection as important for the risk of diagnosing an HIV-positive partner with a posterior probability of 41.9% (see Appendix, Table A1, Supplemental Digital Content 1, http://links.lww.com/QAI/B768) and were carried over to build the bivariate and final model. Compared with contract referral modality, provider referral and dual referral methods did not show any significant association with the identification of undiagnosed partners, with an adjusted odds ratio (AOR) of 0.96 (95% CI: 0.74 to 1.25) and AOR of 0.92 (95% CI: 0.63 to 1.33), respectively. Male index cases and newly diagnosed HIV-positive individuals were more likely to disclose new HIV-positive partners, with AOR 1.84 (95% CI: 1.50 to 2.28) and AOR 1.82 (95% CI: 1.45 to 2.30), respectively (Table 2).
TABLE 2.
Bivariate and Multivariable Bayesian Logistic Regression Analyses for the Identification of Undiagnosed HIV-Positive Partners
N | Bivariate Analysis, OR (95% CI) | Multivariable Analysis, AOR (95% CI) | |
Type of partner notification | |||
Contract referral | 2605 | 1.00 | 1.00 |
Provider referral | 3394 | 0.83 (0.68 to 1.01) | 0.96 (0.74 to 1.25) |
Dual referral | 1691 | 0.62 (0.48 to 0.80) | 0.92 (0.63 to 1.33) |
Index case sex | |||
Female | 2909 | 1.00 | 1.00 |
Male | 1796 | 1.74 (1.46 to 2.07)* | 1.84 (1.50 to 2.28)* |
Type of index case | |||
HIV-positive on ART | 3397 | 1.00 | 1.00 |
New HIV diagnosis | 1308 | 1.92 (1.61 to 2.29)* | 1.82 (1.45 to 2.30)* |
Variance | Median (95% CI) | ||
Index case level | 1.14 (0.62 to 1.90) | ||
Health facility level | 0.70 (0.33 to 1.39) |
Significant based on 95% CI.
DISCUSSION
This study has demonstrated that the 3 VAPN modalities (contract, provider, and dual referral) were comparable regarding identifying new HIV cases in Rwanda. The recruitment rate of HIV-positive partners was found to be higher for male individuals and newly diagnosed index cases initiating ART. The overall positivity yield was estimated at 7.1%, which is more than 10 times higher than the positivity rate provided by traditional passive testing modalities,6 confirming that VAPN approaches are effective methods to target and identify undiagnosed PLHIV who may be unaware of their HIV status. Our study showed the feasibility, acceptability, and effectiveness of partner notification in the diagnosis of remaining undiagnosed PLHIV in Rwanda and further supports similar conclusion of previous studies conducted in sub-Saharan Africa (SSA) that have applied the 2016 World Health Organization guidelines for active HIV case finding is SSA.11–15 The absence of a significant association between positive yield and disclosure methods is an important finding because it allows national programs to determine which referral modality might be most effective in a given country context or based on available health care worker manpower.
Compared with female individuals, male index cases showed a higher probability to identify positive partners. This finding could be explained by a combination of several factors. First, HIV transmission efficiency differs across sexes, where male-to-female transmission is known to be higher than female-to-male transmission16,17 and partially attributed to high rates of male circumcision (72.4%) in Kigali.4 Moreover, men are less likely to have a higher viral load suppression on ART (84.4% men versus 93.2% women) and are more likely to have multiple sexual partners.4 However, in this study population, there were no differences regarding the mean number of disclosed sexual partners (2.4 for men and 2.3 for women, P < 0.001). Second, it may be easier for male index cases to identify their partners. A Tanzanian study reported 6.2 times higher likelihood for male index cases to list more than 1 sexual partner compared with female index cases.18 Especially in SSA, women can face more barriers than men in partner notification, fueled by fear of abandonment or relationship ending, of experiencing physical or emotional violence, and of being undervalued for not having a child.18–20 It is therefore important to consider differences between male and female behaviors and roles and their consequences on testing, partner notification, and disclosure of HIV status. Furthermore, men (and male partners) are harder to reach by HIV testing services21 due to stigma.22–24 Only 38.2% of index cases in our study were men, and a study conducted in Rwanda has shown a low uptake of HIV testing services among men.25 In Tanzania, male index cases had a 2.2 times higher likelihood of successfully referring a partner than female index cases,18 meaning that male partners of female index cases were less likely to present for testing. This suggests that men may need additional support to motivate testing.
The strength of our study is its novelty as the first evaluation of active case finding in Rwanda using a large cohort of index cases with a high notification rate of 66%. However, our study has several limitations. First, because our study was conducted only in the major Kigali metropolitan area (urban with a higher HIV prevalence, incidence, and volume of patients compared with other provinces), generalizability to the whole country may be limited. There may be differences in HIV testing, status disclosure, and partner notification between urban and rural areas because the population of rural areas has often lower access to testing facilities and faces a higher rate of stigma and discrimination. Second, we cannot exclude differences regarding disclosure between males and females due to cultural barriers and the type of sexual encounter (eg, with a sex worker). Third, VAPN was introduced at ART enrollment, and participation was voluntary. Patients not linked to care and patients who refused to participate were therefore excluded from the analysis. However, we expect this bias to be minimal because linkage to ART in Rwanda is greater than 95%,25 and participation refusal was low with less than 3% of indexes refusing consent. Fourth, we did not know the directionality of HIV infection among partners, particularly among newly infected and suboptimally treated index cases. Finally, approximately one-third of partners did not undergo testing, and information on their HIV status was not available.
In conclusion, this study shows that VAPN modalities are not associated with the probability of identifying undiagnosed PLHIV. Contract referral, provider referral, or dual referral could be equally implemented and scaled up as component interventions to reach the first UNAIDS-95 by 2030. Further studies are recommended to assess the acceptability and uptake of each modality, including investigations in both rural and urban populations.
Supplementary Material
ACKNOWLEDGMENTS
The authors thank all study participants and health care providers in the city of Kigali. Furthermore, the authors acknowledge the support and contributions of the Rwandan Ministry of Health, Rwanda Biomedical Centre, Stiftung Institut für klinische Epidemiologie, and Basel Institute for Clinical Epidemiology and Biostatistics Department of Clinical Research, University Hospital Basel, Switzerland, MTEK Sciences.
Footnotes
The authors have no conflicts of interest to disclose.
E.R., S.N., P.N., S.S.M., G.N.R., B.S., and E.T. designed the study. E.R. and F.C. analyzed the data. E.R., F.C., S.S.M., S.L.C., H.C.B., and D.J.R. drafted the manuscript; and F.C., E.J.M., and H.C.B. supervised the study. All authors contributed to interpretation of data and critical revision of the manuscript for important intellectual content. All authors have read and approved the final manuscript.
Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (www.jaids.com).
Contributor Information
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