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. Author manuscript; available in PMC: 2025 Mar 1.
Published in final edited form as: Sex Transm Dis. 2024 Jan 3;51(3):214–219. doi: 10.1097/OLQ.0000000000001922

Assisted Partner Notification Services (APS) in Namibia: Comparison of Case-Finding in Persons with New and Previously Diagnosed HIV, and Success as a Platform for PrEP Referral

Gillian O’Bryan 1,2, Harugumi Chirairo 2,3, Farai Munyayi 2,3, Alison Ensminger 1,2, Gena Barnabee 1,2, Edington Dzinotyiweyi 4, Leonard Mwandingi 4, Laimi Ashipala 4, Norbert Forster 2,3, Gabrielle O’Malley 1,2, Matthew R Golden 1,5
PMCID: PMC10901442  NIHMSID: NIHMS1954160  PMID: 38412468

Abstract

Background

Assisted partner notification services (APS) are widely implemented throughout sub-Saharan Africa. The effectiveness of APS among persons with previously diagnosed HIV infection is uncertain, and there are few published data on the success of integrating referrals for HIV pre-exposure prophylaxis (PrEP) into APS.

Methods

Staff in 22 Namibian Ministry of Health and Social Service clinics offered APS to patients newly and previously diagnosed with HIV (index cases [ICs]) between October 2019 and June 2021. Counselors used a structured interview guide to elicit ICs’ sex partners and biological children and assisted ICs to arrange testing of contacts. Contacts testing HIV-positive were linked to HIV services and those aged ≥14 years testing negative were offered PrEP. The primary outcome was the case-finding index (contacts testing HIV-positive ÷ ICs receiving APS).

Results

Staff provided APS to 1,222 (78%) of 1,557 newly diagnosed ICs eliciting 1,155 sex partners and 649 biological children. Among 280 previously diagnosed ICs, 279 sex partners and 158 biological children were elicited. The case-finding index was higher among ICs with newly diagnosed HIV compared to previously diagnosed HIV (0.14 vs. 0.09, p=0.46), though this difference was not statistically significant. Most sex partners testing HIV-negative were initiated on PrEP (67% in sex partners from newly diagnosed ICs; 74% in sex partners from previously diagnosed ICs).

Conclusions

APS successfully identified sex partners and biological children with undiagnosed HIV infection when provided to both newly and previously diagnosed ICs. Integration of referral to PrEP resulted in many HIV-negative partners initiating PrEP.

Keywords: Namibia, Assisted Partner Notification, Case Finding, HIV

Short Summary

Assisted partner notification services (APS) provided to both newly and previously diagnosed index cases in Namibia identified HIV undiagnosed sex partners and biological children and successfully integrated PrEP referral.

Introduction

In 2016 the World Health Organization (WHO) issued new guidelines recommending all persons with newly diagnosed HIV infection be offered assisted partner notification services (APS) [1]. The intervention was subsequently adopted as a core strategy by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) and, in 2018 was included in the Namibian National Guidelines on HIV Testing Services by the Ministry of Health and Social Services (MHSS) [2].

Experience implementing APS and public reaction to the program have raised several issues related to the intervention’s implementation approach for which additional data are needed. First, while controlled studies of APS undertaken in sub-Saharan Africa reported fairly consistent and uniformly high case-finding indices of 0.25–0.36 (i.e., number of new cases of HIV identified per index case receiving APS, an important metric for evaluating APS), program evaluations in the region have reported widely variable outcomes (case-finding indices of 0.08–0.81), highlighting the need to understand the sources of this variance [311]. Second, although many APS programs seek to provide the intervention to a subset of patients with longstanding HIV diagnoses who are most likely to transmit HIV to their partners– usually persons off antiretroviral therapy or interrupting HIV care – data on the case-finding effectiveness of APS in people with prior HIV diagnoses are very limited [12]. Finally, there are few data on the effectiveness of efforts to integrate outcomes other than HIV testing into APS programs. Data from the US suggest that APS can be an effective platform for promoting pre-exposure prophylaxis (PrEP), but little data exists on this from contexts outside the US [1217].

Namibia is approaching the UNAIDS 95-95-95 targets with an estimated 92% of people living with HIV (PLHIV) diagnosed, 99% of diagnosed PLHIV on antiretroviral therapy (ART), and 94% of patients on ART virally suppressed [18]. Starting in October 2019, the Namibian MHSS, technically supported by the International Training and Education Center for Health (I-TECH) at the University of Washington, implemented facility-based APS in 22 MHSS clinical sites in a focused effort to increase HIV case finding. In this paper, we evaluate that APS program, including case-finding among index cases with prior HIV diagnoses and APS as an avenue to link uninfected partners to PrEP.

Materials and Methods

APS Program Description

Prior to October 2019, MHSS policy was for HIV clinic staff to advise patients that their sex partners and biological children should be tested for HIV and to record contacts’ HIV status in booklets issued to all patients with HIV. Facilities, however, did not have specific staff dedicated to the provision of APS, nor was there systemic, routine follow-up related to contact notification and testing.

The MHSS APS program supported by I-TECH launched in October 2019 and by October 2020 included 22 facilities in four regions of Namibia. Consideration was given to both the types of clients served (urban vs. partially urban/rural) by sites and the community-based APS service partner active in the regions. Additionally, sites were selected based on the volume of newly identified HIV-positive cases. Key components of this program included APS focal staff accountable for APS service delivery, additional training, and ongoing support and supervision. Each supported site had a full-time focal APS HIV testing counsellor and a trained nurse. The MHSS APS training curriculum was enhanced to include role plays, scenarios, new data collection instruments, and data entry sessions and was used to train APS focal persons and facility nurses. Site-level staff were supported through nurse mentors, clinical (physician) mentors, monitoring and evaluation officers, and HIV Testing Services (HTS) mentors. HTS mentors visited main sites monthly to provide onsite supervision and training.

The program sought to offer APS to two groups of index cases: 1) patients with new or recently diagnosed (within 3 months) HIV infection, and 2) previously diagnosed HIV-positive patients identified as interrupting HIV care or being viremic. The latter group included persons classified as having a history of interrupting care (i.e., people who miss clinical appointments or did not pick up ART ≥90 days) who were offered APS services upon reengagement in care, and people with a high viral load [HVL] (viral load>1000 copies/mL). Although the program focused on these groups, some other previously diagnosed HIV-positive patients also received APS.

Using a structured interview record (Supplemental Digital Content 1), staff asked index cases aged ≥14 to name and provide contact information for each of their sex partners over the preceding 24 months or, if the index case reported no sex partners in the prior 24 months, their most recent sex partner [5, 12]. It also included screening questions related to history or fear of intimate partner violence (IPV) and other safety concerns related to notifying sex partners. Staff did not encourage index cases with history or fear of IPV to notify sex partners but worked with index cases to develop a safe notification plan if that was the index case’s preference. Staff also elicited information about biological children from female index cases if the woman was not known to be HIV-negative when the child was born and while the child was breastfeeding, and from male index cases if the mother was deceased, known to have HIV, or had unknown HIV status. Index cases aged <14 (n=19) were included to trace their biological parents. Injection drug partners were not included in the APS program.

Index cases chose from the following contact notification plan options:

  1. unassisted patient referral: index case physically brings the contact to the clinic or refers the contact using a referral card (HIV self-test kits were used as a tool to support unassisted patient referral and given with the referral card);

  2. provider referral: health assistant notifies the contact by phone or through a community-based service provider;

  3. contract referral: index case agrees to notify the contact within 14 days, after which the HIV testing counsellor follows up with index case, and if consent is given, the contact; and

  4. dual referral: the index case and HIV testing counsellor notify the contact together.

Staff routinely followed up with index cases two weeks after enrollment to elicit additional contacts and discuss changing the contact notification plan if an elicited contact remained unnotified or untested. Staff typically conducted three to four follow-up interactions with index cases.

Elicited contacts were defined as ineligible for HIV testing if they had a prior confirmed HIV-positive diagnosis, had a documented HIV-negative test in the prior 30 days, were deceased, or if the index case did not report contact information for them (e.g., phone number, address). Program staff confirmed prior HIV diagnoses using the national unique ART number and, if this process identified persons as interrupting HIV care (i.e., missed clinical appointment or pill pick up), staff supported their re-engagement. Following tracing and notification of contacts, HIV testing was conducted in either the health facility or in the community. Contacts eligible for new HIV testing but not tested resulted from either incomplete tracing or refusal of testing.

Sex partners who tested HIV-negative were offered PrEP. The 2021 Namibian National ART Guidelines recommend PrEP be offered to any, HIV-negative person who is at substantial risk, or strongly feels at substantial risk, of acquiring HIV [19]. Referral and linkage to PrEP services was done both through facility and community HIV counselling and testing. PrEP was offered onsite at APS facilities with PrEP initiation performed by PrEP trained nurses.

Data Collection and Analysis

The structured interview record was designed to ensure uniform data collection on index cases and their contacts and to guide APS staff through the APS process. Facility staff identified people seeking testing as contacts if they presented with a referral card and by asking all testers their reason for testing. If index cases identified a contact as having tested at a different health facility, staff verified this testing history using that facility’s testing register and the contact’s name. Data on contact outcomes were recorded in the index case’s interview record and all interview records were entered into a secure REDCap electronic data capture tools hosted at the University of Washington (grant number UL1 TR002319) [20, 21].

Analyses describe the characteristics of index case who accepted APS and their contacts and separately summarize program outcomes along an APS cascade for newly diagnosed and previously diagnosed index cases. Cascade steps include program reach (number of eligible index cases offered APS; newly diagnosed index cases only); program acceptance (number of index cases enrolling in APS of those offered APS); and the number of contacts elicited, tested, newly diagnosed with HIV and previously diagnosed with HIV. We also calculate three APS outcome indices: the contact index (average number of contacts elicited per index case), testing index (average number of contacts tested per index case), and case-finding index (average number of contacts newly testing positive per index case) [12, 22].

We used generalized estimating equations (GEE), clustering by facility with Poisson distributions and log links, to evaluate whether there were statistically significant differences in APS outcomes between index cases with previously diagnosed versus newly diagnosed HIV. This analysis estimated the rate ratios for the number of sex partners elicited, tested, and newly diagnosed with HIV in the two index case groups.

Ethical Considerations

This study was conducted under a routine data use protocol approved by the MHSS. All data included in this analysis were routinely collected, programmatic data. The study received a non-research determination from the University of Washington and was reviewed in accordance with human research protection procedures and was determined to be non-research, public health program activity.

Participation in the APS program was voluntary, and prior to enrollment all index cases, 14 years of age and older, underwent a standardized consent process which allowed them to decline APS and informed them that they could withdraw from participation at any time. For children too young to consent to participation in APS, under the age of 14, elicitation of contacts was conducted by asking the parent or guardian to name the biological mother and any siblings.

Results

Between October 2019 and June 2021, 1,374 index cases accepted APS. These index cases named 1,434 sex partners and 807 biological children (Table 1). Index cases were mostly female (67%) and aged 25–49 (71%). Ninety-four percent of index cases named ≥1 sex partner; 86% named only one partner. Most sex partners were aged 25–49 (79%)

Table 1:

APS index case and contact characteristics (October 2019 – June 2021)

Accepted index case characteristics N=1,374 n(%)*
Type
 New HIV-positive 1,094 (80%)
 Previously diagnosed HIV infection 280 (20%)
Assigned sex at birth^
 Male 454/1,371 (33%)
 Female 914/1,371 (67%)
 Trans 3/1,371 (<1%)
Age
 <15^ 17/1,348 (1%)
 15–24 274/1,348 (20%)
 25–34 568/1,348 (42%)
 35–49 385/1,348 (29%)
 50+ 104/1,348 (8%)
Sex partner elicitation
 0 84/1,374 (6%)
 1 1,178/1,374 (86%)
 2 102/1,374 (7%)
 3+ 10/1,374 (<1%)
Sex partner characteristics N=1,434 n(%)*
Assigned sex at birth^
 Male 908/1,371 (66%)
 Female 462/1,371 (33%)
 Trans 1/1,371 (<1%)
Age
 <15^ 2/1,219 (<1%)
 15–24 166/1,219 (14%)
 25–34 537/1,219 (44%)
 35–49 432/1,219 (35%)
 50+ 82/1,219 (7%)
Biological children characteristics N= 660 n(%)*
Assigned sex at birth^
 Male 296/579 (51%)
 Female 283/579 (49%)
Age
 <1 34/573 (6%)
 1–4 418/573 (73%)
 5–14 93/573 (16%)
 15+ 27/573 (5%)

Presented as n(%) unless missing data, then n/N (%)

*

Percentages are within-category column proportions

^

Transgender index cases (n=3) and their sex partners (n=1) and index cases (n=17) and their sex partners (n=2) under the age of 15 were excluded from analysis

Of index cases who listed zero sex partners, 45 listed a biological child and 39 listed zero contacts

APS Cascade Among Index Cases with Newly Diagnosed HIV Infection

Through routine HIV testing and counselling services (HTS), 1,557 patients were newly diagnosed HIV-positive during the study period and eligible for APS services. Staff offered APS to 1,222 of 1,557 patients newly diagnosed and eligible for APS (reach=78%), of whom 1,094 (90%) accepted APS, and 1,040 of those accepting APS named at least one sex partner (95% of those who accepted APS and 85% of those offered APS) (Figure 1). Newly diagnosed index cases identified 1,155 sex partners (contact index=1.06), of whom 212 (18%) had previously diagnosed HIV infection reported by the index case at their initial APS interview. An additional 25 sex partners initially reported by index cases as not having a prior HIV diagnosis were found to have previously tested HIV-positive. Thirteen (1%) sex partners were deceased, 41 (4%) had HIV tested in the prior 30 days, and 9 (1%) had insufficient contact information to initiate an investigation. Of the remaining 855 sex partners eligible for HIV testing, 401 (47%) tested for HIV (testing index=0.37), of whom 150 (37%) were newly diagnosed with HIV infection (case-finding index=0.14). Thus, 377 (33%) of the 1,155 sex partners were HIV-positive, 227 (60%) of whom had a prior HIV diagnosis.

Figure 1.

Figure 1.

Aggregated APS cascades for sex partners and biological children for new HIV-positive index cases (October 2019 – June 2021)

Of the 150 newly tested and diagnosed HIV-positive sex partners through APS, 145 (97%) were linked to HIV care and treatment. Among the 251 HIV-negative sex partners, 215 (86%) were offered PrEP, and 169 (67%) initiated PrEP.

Of the 1,094 newly diagnosed index cases, 502 identified 649 biological children (contact index=0.59), of whom 4 (0.6%) had previously diagnosed HIV infection known by the index case. The 502 index cases who identified biological children included 441 (88%) women, 58 men (12%) and 3 (0.6%) people with missing data on assigned sex at birth. Among 645 eligible biological children, 261 (40%) were newly tested for HIV and 19 (7%) were newly diagnosed with HIV (case-finding index=0.02).

APS Cascade Among Index Cases with Previously Diagnosed HIV Infection

Because clinics did not collect data on the total number of patients interrupting care and HVL patients, it was not possible to assess program reach among previously diagnosed HIV-positive index cases. Staff offered APS to 315 index cases with previously diagnosed HIV infection, of whom 280 (89%) accepted (Figure 2). The population offered APS included 275 HVL and 40 patients interrupting care, 248 (90%) and 32 (80%) of whom accepted APS, respectively. Previously diagnosed index cases identified 279 sex partners (contact index=1.0), of whom 100 (36%) had previously diagnosed HIV infection. Three sex partners (1%) initially reported by index cases as not having a prior HIV diagnosis were found to have previously tested HIV-positive, 2 (0.7%) sex partners were deceased, and 8 (3%) sex partners had a documented HIV-negative HIV test in the prior 30 days. Of the remaining 166 sex partners eligible for testing, 93 (56%) tested for HIV (testing index=0.33), of whom 25 (27%) were newly diagnosed with HIV infection. The case-finding index among persons with previously diagnosed index cases was 0.09. Of the 280 index cases with previously diagnosed HIV infection, 128 (46%) had an identified HIV-positive sex partner, 80% of whom had a prior HIV diagnosis.

Figure 2.

Figure 2.

Aggregated APS cascades for sex partners and biological children for index cases with previously diagnosed HIV infection (October 2019 – June 2021)

Of the 25 newly diagnosed sex partners, 23 (92%) were linked to HIV care and treatment. Among the 68 HIV-negative sex partners, 56 (82%) were offered PrEP, and 50 (74%) initiated PrEP.

Of the 280 previously known HIV-positive index cases, 104 identified 158 biological children (contact index=0.56), of whom 14 (9%) had previously diagnosed HIV infection known by the index case. Among 144 biological children eligible for testing, 43 (30%) were newly tested for HIV and 4 (9%) were newly diagnosed HIV-positive (case-finding index=0.01).

Comparison of APS Among Newly and Previously Diagnosed Index Cases among Sex Partners

Although the case-finding index was higher among index cases newly diagnosed with HIV compared to index cases with previously diagnosed HIV (0.14 versus 0.09), the number of sex partners elicited, tested, and newly diagnosed HIV-positive between the two groups was not statistically different (Table 2).

Table 2.

Partners elicited, partners tested, and case-finding of sexual partners by index case type (October 2019 – June 2021)

New HIV-positive
(n=1,077 index cases accepted)
Previously diagnosed HIV infection
(n=277 index cases accepted)
Rate ratios
(95% CI)*
p-value
Partners elicited 1,124 (1.04) 275 (0.99) 1.05 (0.98–1.13) 0.15
Partners tested 395 (0.37) 92 (0.33) 1.10 (0.47–2.62) 0.82
Case-finding in partners 148 (0.14) 25 (0.09) 1.52 (0.50–4.60) 0.46

Data are n (outcome per index case)

*

Estimated with use of generalized estimating equation Poisson regression with independent correlation matrix and index cases as offset variable

Discussion

Evaluating the implementation of APS in 22 clinics in Namibia between 2019 and 2021, we found that APS was effective in identifying partners with undiagnosed HIV infection when provided to both newly diagnosed index cases and previously diagnosed persons who were viremic or interrupted HIV care. We also observed that it was possible to integrate referral to PrEP into APS, and that most uninfected sex partners of index cases started PrEP when PrEP referral was built into the intervention. Despite these successes, APS was responsible for only 175 (11%) of the 1,557 new HIV diagnoses made in participating clinics during the study period, highlighting that APS is only one part of a broader HIV testing strategy, not a substitute for other case-finding strategies.

Among index cases with newly diagnosed HIV infection, we found that APS had a case-finding index of 0.14, meaning that our program had to provide APS to 7.1 index cases to identify one new case of HIV among their sex partners. This case-finding index is 40–64% lower than that observed in controlled studies of APS and on the lower part of the highly variable range reported in program evaluations (0.08–0.81) undertaken in sub-Saharan Africa [311]. Three factors likely explain why our case-finding was relatively low. First, because approximately 92% of persons living with HIV in Namibia—and 61% of HIV-positive partners identified through this study—already knew their HIV status, APS had less opportunity to identify undiagnosed partners than in countries where the proportion of HIV infected people who are undiagnosed is higher. Second, our sex partner contact index of 1.06 was relatively low. Although this index is similar to that observed in many other program evaluations, it seems likely that Namibia’s program is not identifying all of the partners at risk for HIV. Use of a longer contact period (e.g., >24 months) or additional efforts to elicit more partners might improve the program’s case-finding. This analysis also found only 1% of sex contacts identified by newly diagnosed index cases had insufficient contact information to initiate an investigation. This, together with the low contact index, could indicate index cases are eliciting primary, stable sex partners and not secondary, casual partners at high risk of HIV acquisition. Finally, the relatively low case-finding we report may reflect misclassification of previously diagnosed persons as new diagnoses in some prior studies. Many studies reporting APS outcomes have either not reported the number of partners with previously diagnosed HIV infection or have reported very low numbers, even in countries approaching epidemic control [10, 2328]. This highlights the need to consistently monitor the number of contacts with previously diagnosed HIV infection to obtain accurate estimates of case-finding effectiveness. Of note, the yield (HIV-positivity among tested partners) we observed (37%) was comparable or only slightly lower than that seen in published controlled studies (35–48%), illustrating how focusing on yield alone can provide a misleading estimate of APS program success.

We found that APS was effective when provided to patients with previously diagnosed HIV infection (viremic and patients who interrupted HIV care). HIV case-finding in this group was somewhat lower than among index cases with new HIV diagnoses (0.09 vs. 0.14). Several previous reports have included index cases with previously diagnosed HIV infection, but very few have separately reported outcomes in that population [23, 25, 2931]. In Botswana, Grande reported identical case-finding indices (0.14) among 1,265 index cases with newly diagnosed HIV and 80 with previously diagnosed HIV [12]. While in Cote d’Ivoire, Lasry reported a case-finding index of 0.06 among 1,762 index cases, 87% of whom knew their HIV status for more than a year [30]. Together, these data demonstrate APS can successfully identify HIV-positive cases linked to persons with previously diagnosed HIV. To our knowledge, however, none of the studies evaluating APS in previously diagnosed index cases—including ours—clearly defined the criteria for selecting cases or the proportion of eligible cases who received the intervention. Data of this type are needed to assess whether reported outcomes may be biased and to determine which previously diagnosed patients should receive APS.

Finally, our program provides evidence that APS can be used to promote the use of PrEP. We found that 67% of HIV-negative sex partners elicited by newly diagnosed index cases and 74% of sex partners elicited by previously known HIV-positive index cases were initiated on PrEP. Unfortunately, we do not know how long these partners remained on PrEP. Other data on PrEP integration into APS from outside of the US are very limited. A qualitative Kenyan study found that providers and HIV-positive index cases were motivated to participate in APS as a means to link HIV-negative partners to PrEP and that providers sometimes prioritized previously known positive index cases with high viral loads for APS to identify HIV-negative partners who would benefit most from PrEP [17]. However, somewhat in contrast to our findings, an APS study of gay, bisexual, other men who have sex with men, and transgender women in coastal Kenya found that only 24–28.6% of HIV negative partners initiated PrEP [16]. Our experience suggests that APS can successfully link at-risk partners to PrEP, though additional data on this issue are needed.

Limitations

Our study has several limitations. We could not assess if contacts tested in a facility other than the facility where the index case who named them received APS. We also lacked data on whether contacts tested through community-based testing. As a result, our estimates of the proportion of partners tested and newly diagnosed are likely low. We also were unable to estimate program reach among previously diagnosed HIV-positive persons who interrupted HIV care or who had HVL and could not evaluate the proportion of previously diagnosed partners who interrupted HIV care or off antiretroviral medications and who relinked to care through APS. Our team did not have access to national Adverse Event (AE) incident report data at the time of this analysis and consequently could not report data on AEs following receipt of APS. An assessment program costs and cost-effectiveness of APS relative to other testing modalities was not included in this study, such an analysis would be worthwhile. Finally, our findings may not be generalizable to other countries or other parts of Namibia.

In conclusion, we found that an APS program in Namibia was effective, that APS provided to viremic index cases with previously diagnosed HIV infection was a useful case-finding tool, and that many HIV uninfected partners identified through APS accept referrals to and initiate PrEP. These findings occurred in a country in which an estimated 90% of HIV-positive persons know their HIV status, demonstrating the value of APS in countries nearing epidemic control. At the same time, APS only identified 11% of all HIV diagnoses in participating clinics during the study period, highlighting the fact that APS should be only one part of a robust and balanced HIV testing strategy.

Supplementary Material

SDC References
SDC 1 Namibia APS Interview Record

All sources of support:

This publication has been supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC) under cooperative agreements NU2GGH001430 and NU2GGH002242 to the University of Washington.

Research reported in this publication was supported by the University of Washington / Fred Hutch Center for AIDS Research, an NIH-funded program under award number AI027757 which is supported by the following NIH Institutes and Centers: NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NIA, NIGMS, NIDDK.

Conflict of interest:

MRG has received research support from Hologic. The other authors declare that they have no competing interests.

References

  • 1.World Health Organization Guidelines on HIV self-testing and partner notification: supplement to consolidated guidelines on HIV testing services. 2016. [PubMed]
  • 2.Republic of Namibia Ministry of Health and Social Services National Guidelines on HIV Testing Services 2018, D.o.S. Programmes, Editor. 2018: Windhoek, Namibia. [Google Scholar]
  • 3.Brown LB, Miller WC, Kamanga G, et al. HIV Partner Notification Is Effective and Feasible in Sub-Saharan Africa: Opportunities for HIV Treatment and Prevention. JAIDS Journal of Acquired Immune Deficiency Syndromes, 2011. 56(5): p. 437–442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rosenberg NE, Mtande TK, Saidi F, et al. Recruiting male partners for couple HIV testing and counselling in Malawi’s option B+ programme: an unblinded randomised controlled trial. The Lancet HIV, 2015. 2(11): p. e483–e491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Myers RS, Feldacker C, Cesár F, et al. Acceptability and Effectiveness of Assisted Human Immunodeficiency Virus Partner Services in Mozambique: Results From a Pilot Program in a Public, Urban Clinic. Sex Transm Dis, 2016. 43(11): p. 690–695. [DOI] [PubMed] [Google Scholar]
  • 6.Cherutich P, Golden MR, Wamuti B, et al. Assisted partner services for HIV in Kenya: a cluster randomised controlled trial. The Lancet HIV, 2017. 4(2): p. e74–e82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Little KM, Kan M, Samoylova O, et al. Implementation experiences and insights from the scale‐up of an HIV assisted partner notification intervention in Central Asia. Journal of the International AIDS Society, 2019. 22(S3). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Masyuko S, Sharma M, Kemunto E, et al. Scaling up assisted partner notification services in western Kenya, in Conference on Retroviruses and Opportunistic Infections. 2020: Boston. [Google Scholar]
  • 9.Sharma M, Naughton B, Lagat H, et al. Real-world impact of integrating HIV assisted partner services into 31 facilities in Kenya: a single-arm, hybrid type 2 implementation-effectiveness study. Lancet Glob Health, 2023. 11(5): p. e749–e758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Golden MR, Mamudo A, Vio F, et al. Assisted Partner Notification Services are Safe and Effective as they are Brought to Scale in Mozambique. J Acquir Immune Defic Syndr, 2023. [DOI] [PubMed] [Google Scholar]
  • 11.Jubilee M, Park FJ, Chipango K, et al. HIV index testing to improve HIV positivity rate and linkage to care and treatment of sexual partners, adolescents and children of PLHIV in Lesotho. PLOS ONE, 2019. 14(3): p. e0212762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Grande M, Mawandia S, Bakae O, et al. Intensified Assisted Partner Notification Implementation in Botswana Increased Partner Identification but Not HIV Case-Finding: Findings Highlight the Need for Improved Data Monitoring. J Acquir Immune Defic Syndr, 2021. 87(3): p. 951–958. [DOI] [PubMed] [Google Scholar]
  • 13.Katz DA, Dombrowski JC, Barry M, et al. STD Partner Services to Monitor and Promote HIV Pre-exposure Prophylaxis Use Among Men Who Have Sex With Men. J Acquir Immune Defic Syndr, 2019. 80(5): p. 533–541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.da Silva DT, Bouris A, Ramachandran A, et al. Embedding a Linkage to Preexposure Prophylaxis Care Intervention in Social Network Strategy and Partner Notification Services: Results From a Pilot Randomized Controlled Trial. J Acquir Immune Defic Syndr, 2021. 86(2): p. 191–199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Howren MB, Francis SL, Polgreen LA, et al. Predictors of HIV Preexposure Prophylaxis Initiation Among Public Health Clients in Rural and Small Urban Areas in Iowa. Public Health Rep, 2021. 136(2): p. 172–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Dijkstra M, Mohamed K, Kigoro A, et al. Peer Mobilization and Human Immunodeficiency Virus (HIV) Partner Notification Services Among Gay, Bisexual, and Other Men Who Have Sex With Men and Transgender Women in Coastal Kenya Identified a High Number of Undiagnosed HIV Infections. Open Forum Infect Dis, 2021. 8(6): p. ofab219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Odoyo JB, Morton JF, Ngure K, et al. Integrating PrEP into HIV care clinics could improve partner testing services and reinforce mutual support among couples: provider views from a PrEP. Journal of the International AIDS Society, 2019. 22(S3). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.President’s Emergency Plan for AIDS Relief Namibia Country Operational Plan COP2023 Strategic Direction Summary. 2023.
  • 19.(MoHSS), M.o.H.a.S.S., National Guidelines for Antiretroviral Therapy D.o.S. Programmes, Editor. 2016: Windhoek, Namibia. [Google Scholar]
  • 20.Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 2009. 42(2): p. 377–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform, 2019. 95: p. 103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Iskrant AP and Kahn HA, Statistical indices used in the evaluation of syphilis contact investigation. J Vener Dis Inf, 1948. 29(1): p. 1–6. [PubMed] [Google Scholar]
  • 23.Tih PM, Temgbait Chimoun F, Mboh Khan E, et al. Assisted HIV partner notification services in resource‐limited settings: experiences and achievements from Cameroon. Journal of the International AIDS Society, 2019. 22(S3). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kahabuka C, Plotkin M, Christensen A, et al. Addressing the First 90: A Highly Effective Partner Notification Approach Reaches Previously Undiagnosed Sexual Partners in Tanzania. AIDS and Behavior, 2017. 21(8): p. 2551–2560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Katbi M, Adegboye A, Adedoyin A, et al. Effect of clients Strategic Index Case Testing on community-based detection of HIV infections (STRICT study). International Journal of Infectious Diseases, 2018. 74: p. 54–60. [DOI] [PubMed] [Google Scholar]
  • 26.Mahachi N, Muchedzi A, Tafuma TA, et al. Sustained high HIV case‐finding through index testing and partner notification services: experiences from three provinces in Zimbabwe. Journal of the International AIDS Society, 2019. 22(S3). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kariuki RM, Rithaa GK, Oyugi EO, et al. What is the level of uptake of partner notification services in HIV testing in selected health facilities in Gatanga Sub County, Muranga County – Kenya; a retrospective study. BMC Infectious Diseases, 2020. 20(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lagat H, Sharma M, Kariithi E, et al. Impact of the COVID-19 Pandemic on HIV Testing and Assisted Partner Notification Services, Western Kenya. AIDS and Behavior, 2020. 24(11): p. 3010–3013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kingbo MH, Isaakidis P, Lasry A, et al. Partner Notification Approaches for Sex Partners and Children of Human Immunodeficiency Virus Index Cases in Cote d’Ivoire. Sex Transm Dis, 2020. 47(7): p. 450–457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lasry A, Danho NK, Hulland EN, et al. Outcome of HIV Testing Among Family Members of Index Cases Across 36 Facilities in Abidjan, Côte d’Ivoire. AIDS Behav. 25(2):554–561, 2021. 25(2). [DOI] [PMC free article] [PubMed] [Google Scholar]

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SDC 1 Namibia APS Interview Record

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