Early identification of HIV-infected individuals and improved linkage from HIV testing to HIV care is a prerequisite for South Africa to achieve its goals for care and treatment.1 Despite testing 13.5 million individuals during the HIV counseling and testing (HCT) campaign that began in April 2010, the numbers actually linked from HCT to an HIV care program are not known. Throughout South Africa, however, CD4 cell counts of those initiating antiretroviral treatment (ART) in South Africa have remained well below 200 cells per cubic millimeter (the eligibility threshold until recently).2
By reducing barriers to accessing HCT services, mobile HCT programs offer an opportunity to identify those with HIV infection while their CD4 counts remain high, before symptoms develop.3–6 Recent studies have demonstrated this strength of mobile HCT. Although 50% of walk-in HCT patients to a hospital-based HCT site in Johannesburg diagnosed with HIV were already eligible for antiretroviral treatment (ART) on the day of HIV testing (CD4 cell ≤200 cells/mm3), only 10% of patients diagnosed with HIV in a mobile HCT program in the same metropolitan area were treatment eligible on the day of testing.7,8 In a study from Cape Town, 33% of walk-in HCT patients diagnosed with HIV at fixed locations (hospital and clinic) were already eligible for antiretroviral treatment (ART) on the day of HIV testing (CD4 cell ≤200 cells/mm3) and 20% had very low CD4 counts (<100), but only 11% of patients diagnosed with HIV in a mobile HCT program were treatment eligible on the day of testing.6
Patients who test positive in mobile HCT programs are referred to a clinic for CD4 testing to determine if they are eligible for ART or should instead be enrolled in pre-ART care. The existing limited evidence suggests that many patients fail to enroll in HIV care after referral from testing, however. A recent review of the literature found that a median of 59% of patients provided a blood sample for a CD4 count and returned for the results after testing positive for HIV.9 Some data suggest that patients with low CD4 counts are more likely than those with higher CD4 counts to return for their CD4 test results, perhaps because those with lower CD4 counts are already sick.8,10,11
One solution for the failure of many HCT clients to return for their CD4 test results is to integrate rapid point-of-care (POC) technologies into HCT service sites. Of particular note has been the Alere PIMA analyzer (Germiston, Gauteng, South Africa), a small and portable device that generates a CD4 count result approximately 20 minutes from insertion of a cartridge containing a patient's blood sample.12,13 Because it is rapid, portable, and usable outside a laboratory setting, this technology has created the possibility that a patient can receive both HIV and CD4 test results in a single visit to a testing site that is not based at a clinic or laboratory.14 Little evidence exists so far, although, about the effectiveness of a POC CD4 count in encouraging patients to enroll in HIV care, particularly if they volunteered for HIV testing in a nonclinic setting.
A mobile HCT program in Gauteng Province completed a pilot program in 2010 that included 2 components: (1) patients diagnosed with HIV in the mobile program were contacted by telephone 8 weeks (ie, called 56 days later) after testing to ask if they completed their referral visit and (2) to attempt to improve posttesting linkage to care, the mobile program integrated rapid POC CD4 testing into its HCT services using the Alere PIMA analyzer. Using information extracted from program records, the aim of this study was to assess the proportion of patients who completed their referral visit within 8 weeks of HIV testing in the mobile program under routine conditions and evaluate the impact of including POC CD4 testing on the proportion of patients completing the referral visit within 8 weeks of HIV testing.
MATERIALS AND METHODS
The study was conducted using data generated by a pilot project implemented by Right to Care, a South African nonprofit organization funded primarily by the US Agency for International Development through the US President's Emergency Plan for AIDS Relief. Right to Care provides HCT services to more 200,000 individuals annually. Its HCT services include a mobile HIV testing program operating in Gauteng Province called Access voluntary testing and counseling (VCT).
Access VCT uses vehicles (2 mobile units) and tents/gazebos to conduct HCT. The vehicles carry materials and personnel to a location like a taxi rank or shopping mall for a day of testing. Nurses provide the counseling and testing services, and 6–10 nurses are present at each location on a testing day. Patients receive all services from 1 nurse and are assigned to a nurse on a first-come first-served basis. The standard sequence of events for HCT is as follows: (1) pretest counseling and consent for HIV testing, (2) rapid HIV testing, (3) posttest counseling for those with a negative result, (4) completing confirmatory HIV testing for those with a positive result, and (5) posttest counseling and referral to an HIV care and treatment site for those with a positive confirmatory HIV test result. As part of step 1 (pretest counseling and consent), program staff obtain phone numbers and consent to contact HIV-positive patients by phone to inquire whether they completed their referral visit and, if not, to provide additional counseling to support completion of the referral.
In 2010, Right to Care acquired 4 Alere PIMA analyzer units with assistance from USAID South Africa and Alere and designed a pilot project to integrate POC CD4 testing into its routine mobile HCT services in Gauteng Province. During the pilot, which ran from May to November 2010, Access VCT used up to 4 PIMA units in the same location, with each unit assigned to 1 nurse. Because of the “one-stop” structure of the program, where a patient sees 1 nurse for all services outlined above, only patients who were assigned to a nurse with a PIMA unit could be offered a POC CD4 test. With 6–10 nurses present during a day of testing at a mobile location and patients assigned on a first-come, first-served basis to nurses, this process created pseudorandomization into 2 groups: those receiving the standard package of HCT services and those receiving the standard package plus the opportunity to have a POC CD4 test. Those who were offered and accepted the POC CD4 test were asked for a blood sample, which was processed on-site using the PIMA Analyzer. The same nurse then provided the results and referral to the patient. Those not offered the POC CD4 test, and those who were offered it but declined, received standard post-HCT counseling and referral to a clinic where a standard CD4 test could be done.
During the pilot project, all patients diagnosed with HIV were telephoned by an Access VCT counselor 8 weeks after their HIV test to ask if they had completed their referral visit to a clinic. Each patient was called up to 3 times, on different days and times of day.
Data Collection and Analysis
Data for this study were drawn from routinely collected medical records kept by the Access VCT program. For this analysis, we included all adult patients diagnosed with HIV by Access VCT between May and November 2010. A retrospective review of program records was completed in late February 2011, which allowed 8 weeks of follow-up for all patients diagnosed with HIV during the pilot period. For each patient, data collected included date of HCT, age, sex, previous HIV test(s), whether a POC CD4 test was offered and accepted, CD4 count result (if available), and self-reported completion of referral visit, based on the 8-week follow-up phone call. The study received ethical approval from Boston University and the University of the Witwatersrand.
Data were analyzed using STATA (Version 11.1; Stata Corporation, College Station, TX). We first evaluated whether the 2 study groups were comparable, based on assignment to testing technology (POC or standard) and probability of being reached by phone during the study follow-up. To evaluate whether the pseudorandomization to the 2 study groups was adequate to create balanced study populations, we conducted 2 analyses. We started with a summary of available patient characteristics (age, sex, and tested previously for HIV) stratified by testing group. Relative risks of being offered the POC CD4 test were estimated using a modified Poisson approach and using age, sex, and whether the patient had tested previously for HIV as patient-specific covariates.15 We then estimated the proportion of patients successfully followed up by phone 8 weeks after HIV testing. Relative risks of successful follow-up were estimated using the modified Poisson approach, with testing group, sex, tested previously for HIV, and age as covariates.
For the subset of patients who were successfully contacted by the site, we next evaluated the proportion of patients who completed a referral visit 8 weeks after their HIV test. We present the risk difference and corresponding 95% confidence intervals (CIs) of completing the initial referral visit within 8 weeks between testing groups. Relative risks of referral completion were also estimated using the modified Poisson approach, with testing group, sex, tested previously for HIV, and age as covariates. We provide intention-to-treat results, which use the full sample of patients offered the POC test. We also provide intention-to-treat results, which exclude patients offered the POC CD4 test for whom the test was not completed, because either the patient declined the test or there was a technical failure preventing the nurse from giving the patient the results.
Assignment to Testing Group and Probability of Being Reached by Phone
A total of 508 adult patients were diagnosed with HIV in the mobile program during the pilot period. Their median age was 33 years (interquartile range, 25–40 years), 59.6% were women, and 39.9% reported having tested previously for HIV. Table 1 provides a summary of demographic characteristics, stratified by testing group. Three hundred eleven patients (61%) were offered the opportunity to have a POC CD4 test, whereas 197 (39%) were not. Relative risks of assignment to testing group are also reported in Table 1. There were no large differences in age, sex, and previous HIV testing experience between those offered the POC CD4 test and those not.
The mobile program successfully contacted by phone 197 of the 311 patients offered the POC CD4 test (63.4%) and 122 of 197 not offered the test (61.9%). Relative risks of successful contact are reported in Table 2. We found no differences in successful contact between the testing groups or by age or previous HIV testing experience. Women were more likely to be contacted than men (relative risk 1.21; 95% CI: 1.04 to 1.40).
Completed Referral Visit Within 8 Weeks of HIV Testing (If Patient Reached by Phone)
For the 197 patients offered the POC CD4 test who were successfully followed up by phone, 117 (59.4%) reported completing their referral visit within 8 weeks of HIV testing (Table 2). Among patients not offered the POC test, 57 of 122 (46.7%) reported completing the referral visit within 8 weeks. The absolute risk difference between these 2 groups was 12.7% (95% CI: 1.5% to 23.9%), equivalent to a 27.1% relative improvement in referral completion associated with the offer of the POC CD4 test. After controlling for age, sex, and previous HIV testing experience, patients offered the POC CD4 test also had a higher relative risk of completing their referral visit than those not offered the test (relative risk 1.23; 95% CI: 1.00 to 1.57).
Among the 311 patients offered the POC CD4 test, 32 patients (10.29%) declined the offer. An additional 16 patients who accepted the offer did not receive their POC CD4 results due to technical failure in performing the test. A total of 263 patients thus both accepted the POC CD4 test offer and received their CD4 test results. Among these 263 patients, 167 were successfully followed up 8 weeks after HIV testing and 103 (61.7%) reported completing their referral visit within 8 weeks of HIV testing. Using this subsample for the treatment group, representing a treatment-on-treated analysis, the relative risk of completing the referral visit was 1.31 (95% CI: 1.04 to 1.64), slightly higher than in the intention-to-treat analysis.
Among the 263 patients who were offered the POC CD4 test and received a result, the median (interquartile range) CD4 cell count was 414 (251–586) cells per cubic millimeter. 17.1% had CD4 counts ≤200, the previous ART eligibility criterion, and 42.5% had CD4 counts ≤350, the new ART eligibility criterion. More than half (57.5%) had a CD4 count above 350 and were thus not yet eligible for ART. For this subsample of patients (offered and received POC CD4 test results, n = 263), patients with CD4 counts >350 were somewhat less likely to complete their referral visit than those with CD4 counts ≤200 (relative risk 0.74; 95% CI: 0.55 to 0.97).
Early in 2011, South Africa announced an increase in the CD4 cell count threshold for initiating ART from 200 to 350 cells per cubic millimeter. To achieve the earlier treatment initiation target reflected in this policy, a large proportion of patients diagnosed with HIV, many of whom will obtain HIV tests at mobile and other non–clinic-based testing facilities, will need to be successfully linked to an HIV care and treatment program. Neither mobile nor other community-based HCT testing programs, however, have found effective strategies for persuading a high proportion of patients to complete an initial CD4 count and enroll in an HIV care or treatment program.
Based on data extracted from routine medical records during a pilot project to integrate POC CD4 testing into a mobile HIV counseling and testing program, our findings suggest that integration of POC CD4 testing into mobile HCT programs can increase the proportion of patients who accept the referral provided and make at least 1 visit to an HIV clinic. In our study, 62% of patients who were offered and accepted the POC CD4 test reported having completed their referral visit within 8 weeks of HIV testing compared with 47% of those not offered the POC CD4 test. Although a sizeable proportion of patients failed to enroll in care even among those who received POC results, the improvement was large enough to merit consideration of adopting this intervention on a larger scale. The study also demonstrated that when offered a rapid CD4 test in a routine mobile HCT setting, acceptance among patients is high: 90% in the case evaluated here.
Our findings are roughly consistent with those of a handful of other studies that have evaluated rapid POC CD4 technologies. In Mozambique, a study that used the PIMA analyzer at the first referral visit, cutting the number of visits required to receive CD4 test results from 2 visits to 1, showed an increase from 43% to 79% in the proportion of patients receiving CD4 results.16 Another study conducted in the same geographic area as ours (Gauteng Province, South Africa) found that incorporation of a POC CD4 count increased the proportion of ART-eligible patients who initiated treatment (31% v 65%) but had no effect on uptake of pre-ART care for those not yet eligible for treatment.17 Both of these studies took place in clinics rather than in nonclinical HCT settings. One study from Cape Town investigated linkage to care after HIV testing in a mobile program that collected blood samples for standard CD4 testing for all patients as part of the mobile HCT service, allowing the program to provide patients with CD4 results by phone several days later, after laboratory-based processing.8 In this study, 57% of patients were successfully contacted by the program and 53% were linked to care (mean time of 2.2 months after HIV testing).
The analysis presented here has several limitations that are typical of evaluations of routine practice. There was no explicit randomization of patients to the 2 testing groups (offered POC CD4 test or not), although the operating procedures of the mobile program created a pseudorandom assignment to 1 of the 2 groups. Observable characteristics of the 2 groups were not significantly different, but we cannot rule out the possibility that the groups differed.
A second potential limitation is that follow-up was limited to phone calls placed 8 weeks after HIV testing. Approximately 6 of 10 patients were successfully followed up by the program. Although this is comparable to the 57.6% of patients newly diagnosed with HIV who were successfully reached by phone call or home visit by the mobile program in Cape Town mentioned above,8 it still leaves open the possibility that the patients not reached in our study differed from those who were contacted. In particular, we speculate that those who could not be reached by phone may have been less likely to complete a referral visit after their HIV test than those who were reached, due to a reluctance to admit this to the caller or to accept a call that pertained in any way to their HIV status. As reported in Table 2, however, assignment to study group was not a factor in successful follow-up, suggesting that both groups were affected equally by this limitation.
A third limitation stems from the reliance of our study on self-reported completion of the referral visit. We had no way to verify participants' statements, and it is possible that some patients reported making a visit when they had not actually done so, to avoid any feared criticism from the caller. The previously mentioned study in Cape Town, which used medical records to confirm the self-reports of a subsample of its participants, however, found perfect agreement between self-reports and clinical records,8 however, suggesting that inaccurate reporting may not be a serious concern for our study.
Despite these limitations, the results of the pilot program were largely encouraging, suggesting that integration of POC CD4 testing into routinely offered mobile HCT services can increase uptake of HIV care. Our findings also underscore the importance of mobile- or community-based HIV testing. We found 42.5% of patients who tested in high-volume public settings that attracted a mobile testing service, and who were thus presumably not seriously ill at the time of testing, were already eligible for ART (based on the new South African guidelines). POC CD4 technology creates the opportunity to alert these patients to their treatment eligibility on the spot and may thus make even those who do not enroll in HIV care immediately to seek care more promptly if they become ill.
The study also leaves open a number of important questions, however. These include patients' reasons for accepting or not accepting the POC test itself, which may range from simple practical considerations of not having time to wait while the test is processed to more complicated emotional barriers associated with fear of the results. It is also important to consider the affordability and cost-effectiveness of the POC technology, relative both to the absolute budget available for HIV care and to other potential interventions available to improve linkage to care. The appropriate roles for POC CD4 tests and other rapid POC tests becoming available remain important research topics.
The authors thank Melinda Wilson, Busi Makhanya, Glynis Davis, and Access VCT, Right to Care, and Alere for their cooperation, support, and assistance during the completion of this study. This analysis could not have been completed without their generous support.
1. South African National AIDS Council. HIV and AIDS and STI Strategic Plan for Sourth Africa, 2007-2011. Republic of South Africa Department of Health; 2007.
2. Fox MP, Rosen S. Patient retention in antiretroviral therapy programs up to three years on treatment in sub-Saharan Africa, 2007–2009: systematic review. Trop Med Int Health. 2010;15(suppl 1):1–15.
3. Khumalo-Sakutukwa G, Morin SF, Fritz K, et al.. Project Accept (HPTN 043): a community-based intervention to reduce HIV incidence in populations at risk for HIV in sub-Saharan Africa and Thailand. J Acquir Immune Defic Syndr. 2008;49:422–431.
4. Matovu JKB, Makumbi FE. Expanding access to voluntary HIV counselling and testing in sub-Saharan Africa: alternative approaches for improving uptake, 2001-2007. Trop Med Int Health. 2007;12:1315–1322.
5. Morin SF, Khumalo-Sakutukwa G, Charlebois ED, et al.. Removing barriers to knowing HIV status—same-day mobile HIV testing in Zimbabwe. J Acquir Immune Defic Syndr. 2006;41:218–224.
6. van Schaik N, Kranzer K, Wood R, et al.. Earlier HIV diagnosis—are mobile services the answer? S Afr Med J. 2010;100:671–674.
7. Larson BA, Ndibongo B, Bistline K, et al.. Point-of-care CD4 testing after HIV diagnosis to reduce losses to initiation of antiretroviral therapy: an evaluation of a pilot program at the Themba Lethu Clinic, Johannesburg, South Africa (poster PE 450). Paper presented at: 6th International AIDS Conference on HIV Pathogenesis, Treatment and Prevention; July 18, 2011; Rome, Italy.
8. Govindasamy D, van Schaik N, Kranzer K, et al.. Linkage to HIV care from a mobile testing unit in South Africa by different CD4 count strata. J Acquir Immune Defic Syndr. 2011;58:344–352.
9. Rosen S, Fox MP. Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review. PLoS Med. 2011;8:e1001056.
10. Larson BA, Brennan A, McNamara L, et al.. Lost opportunities to complete CD4+ lymphocyte testing among patients who tested positive for HIV in South Africa. Bull World Health Organ. 2010;88:675–680.
11. Larson BA, Brennan A, McNamara L, et al.. Early loss to follow up after enrolment in pre-ART care at a large public clinic in Johannesburg, South Africa. Trop Med Int Health. 2010;15(suppl 1):43–47.
12. Mtapuri-Zinyowera S, Chideme M, Mangwanya D, et al.. Evaluation of the PIMA point-of-care CD4 analyzer in VCT clinics in Zimbabwe. J Acquir Immune Defic Syndr. 2010;55:1–7.
13. Diaw PA, Daneau G, Coly AA, et al.. Multisite evaluation of a point-of-care instrument for CD4+ T-cell enumeration using venous and finger-prick blood: the PIMA CD4. J Acquir Immune Defic Syndr. 2011;58:e103–e111.
14. Sukapirom K, Onlamoon N, Thepthai C, et al.. Performance evaluation of the Alere PIMA(TM) CD4 test for monitoring HIV-infected individuals in resource-constrained settings. J Acquir Immune Defic Syndr. 2011;58:141–147.
15. Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–706.
16. Jani IV, Sitoe NE, Alfai ER, et al.. Effect of point-of-care CD4 cell count tests on retention of patients and rates of antiretroviral therapy initiation in primary health clinics: an observational cohort study. Lancet. 2011;378:1572–1579.
17. Faal M, Naidoo N, Glencross DK, et al.. Providing immediate CD4 count results at HIV testing improves ART initiation. J Acquir Immune Defic Syndr. 2011;58:e54–e59.