Abstract

Background

The CASCADE trial showed that compared with usual care (UC), offering same-day (SD) antiretroviral therapy (ART) during home-based human immunodeficiency virus testing improved engagement in care and viral suppression 12 months after diagnosis. However, questions remain regarding long-term outcomes and the risk of propagating drug resistance.

Methods

After completion of the primary endpoint at 12 months, participants not in care in both arms were traced and encouraged to access care. At 24 months, the following outcomes were assessed in both arms: engagement in care, viral suppression, and reasons for nonengagement. Furthermore, we explored the acquisition of drug resistance mutations (DRMs) among SD arm nonlinkers.

Results

At 24 months, 64% (88/137) in the SD arm vs 59% (81/137) in the UC arm were in care (absolute difference [AD], 5%; 95% confidence interval [CI], −6 to16; P = .38) and 57% (78/137) vs 54% (74/137) had documented viral suppression (AD, 3%; 95% CI, −9 to 15; P = .28). Among 36 participants alive and not in care at 24 months with ascertained status, the majority rejected contact with the health system or were unwilling to take ART. Among 8 interviewed SD arm nonlinkers, 6 had not initiated ART upon enrollment, and no acquired DRMs were detected. Two had taken the initial 30-day ART supply and acquired DRMs.

Conclusions

SD ART resulted in higher rates of engagement in care and viral suppression at 12 months but not at 24 months. Leveling off between both arms was driven by linkage beyond 12 months in the UC arm. We did not observe compensatory long-term disengagement in the SD arm. These long-term results endorse SD ART initiation policies.

Clinical Trials Registration

NCT02692027.

(See the Editorial Commentary by Koenig and Pape on pages 2615–7.)

Human immunodeficiency virus (HIV) care and treatment programs globally adopted the recommendation to initiate lifelong antiretroviral therapy (ART) for all people living with HIV regardless of CD4 cell count [1]. A major challenge in implementing a universal test-and-treat strategy in sub-Saharan Africa is low linkage to care among individuals diagnosed as living with HIV [2–6]. This is particularly pronounced in the context of community-based testing, where less than half of those newly diagnosed link to care [7, 8]. Accelerated ART initiation, including starting ART on the day of confirmed HIV diagnosis, is a promising strategy to close the gap between testing and start of treatment. Despite 1 trial showing a trend toward higher loss to follow-up after rapid ART initiation [9], several recent randomized clinical trials from resource-limited settings [10–12] and 2 systematic reviews [13, 14] have concluded that this strategy can improve patient and program outcomes by increasing linkage to care, engagement in care, and sustained viral suppression. As a result, the World Health Organization (WHO) currently recommends offering immediate ART initiation [15].

The CASCADE trial, conducted in Lesotho, southern Africa, was the first of its kind to demonstrate the feasibility and effectiveness of home-based same-day (SD) ART initiation during a door-to-door HIV testing campaign. Offering SD ART start to individuals found to be living with HIV resulted in a significantly higher proportion linked to care within 3 months, as well as engaged in care and virally suppressed 12 months after the home-based HIV diagnosis [16].

However, knowledge gaps still remain relating to SD ART initiation. These include the long-term outcome, emergence of drug resistance among those who subsequently do not link to care, and data on reasons for nonlinkage to care despite the offer of SD ART. In this follow-up study among participants of the CASCADE trial, we aim to shed light on these knowledge gaps.

METHODS

Study Design and Participants

The CASCADE trial was a parallel-group, open-label, randomized clinical trial that assigned individuals who tested positive for HIV during a home-based HIV testing campaign to either the SD or usual care (UC) treatment arm (1:1 allocation). Study participants in the SD arm were offered home-based ART initiation on the day of HIV diagnosis after point-of-care baseline tests, a counseling session, and a readiness assessment. In the SD arm, 98% were considered ready, accepted SD ART start, and received a 30-day ART supply according to the national ART guidelines. In the UC arm, participants underwent a minimum of 2 pre-ART counseling sessions at the health facility with the subsequent offer to start ART, which was the standard of care in Lesotho at the time of enrollment. Consenting adults living with HIV who were ART-naive (aged ≥18 years) were eligible. The trial was conducted in the catchment area of 6 health facilities in the Butha-Buthe district in rural northern Lesotho. The detailed study protocol and the 12-month outcomes have been published [16, 17]. After assessment of the primary endpoint at 12 months, those not in care were contacted and encouraged to (re-) engage in care at the clinic. First contact attempts were made through phone (if available) and, if unsuccessful, were followed by physical tracing through village health workers, health facility staff, and/or the study nurse.

The original study protocol was approved by a Swiss Ethics Committee and the National Health and Research Ethics Committee of Lesotho. The study protocol was subsequently amended to conduct a 24-month follow-up and approved by the National Health and Research Committee of Lesotho. Participants provided written informed consent for a blood draw. Illiterate participants provided a thumb print, and a witness (independent to the trial and aged >21 years), chosen by the participant, cosigned the form. Informed consent was provided in the local language, Sesotho, and the participant received a copy of the consent form.

Procedures

At 24 months, the status of all participants was systematically assessed by the local study nurse responsible for the main trial. The following information sources were searched: the patient files at each health facility in the study district, the laboratory information system of the Ministry of Health, and the district-wide viral load (VL) database of the research consortium. Participants who were not in care (more than 2 months late for ART refill) were traced by the study nurse by phone (if available) or through home visits in collaboration with the clinic staff and the village health workers. Self-reported transfers to another clinic were followed up with the corresponding health facility to confirm the participants’ status. Participants from both arms who had disengaged from care by 24 months and who could be contacted were interviewed about reasons for leaving care.

SD arm participants who had never linked to care and were successfully traced were interviewed using a structured questionnaire to assess their reasons for not linking to care, their adherence to the initial 30-day ART supply, and their history of ART exposure before or since enrollment. Furthermore, they underwent venous blood draw to perform drug resistance testing. The EDTA blood samples were transported within 1 day to the hospital laboratory of the study district (Butha-Buthe Government Hospital) where plasma was separated and frozen at −80°C. Thereafter, plasma aliquots were shipped to a reference laboratory in Switzerland. Drug resistance was assessed using next-generation sequencing (NGS). HIV RNA was extracted using the Maxwell Viral Total Nucleic Acid Purification Kit (PROMEGA Corporation, Fitchburg, WI). Workup and NGS were conducted according to the protocol established by Mbunkah et al [18]. NGS data were processed using MinVar version 2.2.2 [19]. Drug resistance mutations (DRMs) were identified according to the Stanford HIV drug resistance database (www.hivdb.stanford.edu). In order to minimize the risk of false-negative results when assessing the potential harm of transient exposure to ART without subsequent linkage to care, an NGS cutoff of 1% was used.

Outcomes

In this study, we aimed to assess at 24 months (i) among all study participants: engagement in care, reasons for nonengagement, and viral suppression and (ii) among SD arm nonlinkers or late linkers: the acquisition of DRMs. Engagement in care was defined as at least 1 clinic visit in the 24-month follow-up window (range, 22–28 months) and included participants who transferred to any other health facility with a known outcome (documented proof of visit or laboratory report). Viral suppression was defined as <100 copies/mL, which is in line with the definition used in the CASCADE trial [16, 17].

Statistical Analyses

Participants were analyzed according to their randomization arm. The proportions with viral suppression and engagement in care were compared using the Pearson χ 2 or Fisher exact test and presented as absolute differences (ADs) with 95% confidence intervals (CIs) estimated using the Newcombe-Wilson score method [20]. Baseline characteristics potentially associated with engagement in care at 24 months were analyzed using a multivariate logistic regression model, followed by backward stepwise selection based on the Wald test (P value cutoff point of .15) and are presented as odds ratios (ORs) with their respective 95% CIs. As a sensitivity analysis, forward stepwise selection was performed with the same selection criteria. For all tests, complete case analysis and 2-sided P values with the significance level set at 0.05 were used. All analyses were performed in Stata (version 14, StataCorp, Austin, TX). The CASCADE trial has been registered on clinicaltrials.gov (NCT02692027).

RESULTS

From 22 February 2016 to 17 July 2016, 274 participants (137 per arm) were recruited. Baseline characteristics have been published [16]. The 24-month follow-up window started on 23 December 2017 and closed on 11 November 2018. Figure 1 displays the care cascade from enrollment until the 24-month follow-up. Of the 274 study participants, 64% (88/137) in the SD arm vs 59% (81/137) in the UC arm were in care 24 months after enrollment (AD, 5%; 95% CI, −6 to 16; P = .38), and 57% (78/137) vs 54% (74/137) had documented viral suppression (AD, 3%; 95% CI, −9 to 15; P = .28).

Care cascade in the CASCADE trial until 24-month follow-up. *In each arm, 10.2% (14/137) of participants had no documented viral load result despite having attended the health facility within the predefined outcome window. bFive participants in the UC arm and 4 participants in the SD arm had no documented viral load result despite having attended the health facility within the predefined outcome window. Abbreviations: AD, absolute difference; ART, antiretroviral therapy; CI, confidence interval; SD, same-day; UC, usual care.
Figure 1.

Care cascade in the CASCADE trial until 24-month follow-up. *In each arm, 10.2% (14/137) of participants had no documented viral load result despite having attended the health facility within the predefined outcome window. bFive participants in the UC arm and 4 participants in the SD arm had no documented viral load result despite having attended the health facility within the predefined outcome window. Abbreviations: AD, absolute difference; ART, antiretroviral therapy; CI, confidence interval; SD, same-day; UC, usual care.

Table 1 shows the detailed status of all study participants at 24 months. Figure 2 shows the dynamics of engagement in and disengagement from care during the 24-month follow-up period. Between month 12 and month 24, disengagement from care occurred at a similar rate in the SD (11%; 10 of 87) and the UC (9%; 6 of 66) arms (AD, 2%; 95% CI, −8 to 12, P = .63). New engagement in care during this period was higher in the UC arm (30%, 21/71) than the SD arm (22%, 11/50) (AD, 8%; 95% CI, −22.2 to 8.6; P = .35), though this difference was not statistically significant. In the logistic regression model, older age and known to be living with HIV before the home-based HIV testing campaign at enrollment were associated with higher engagement in care at 24 months (Table 2). Forward stepwise selection as a sensitivity analysis yielded the same results.

Table 1.

Overall 24-Month Status in Both Arms

Same-Day Arm (N = 137),Usual Care Arm (N = 137),Total (N = 274),
24-Month Statusn (%)n (%)n (%)
In care at 24 months, n (%)88 (64)81 (59)169 (62)
 In care with suppressed VLa78 (57)74 (54)152 (56)
 In care with unsuppressed VLb6 (4)2 (2)8 (3)
 In care but without VL in 24-month windowc4 (3)5 (4)9 (3)
Not in care at 24 months, n (%)49 (36)56 (41)105 (38)
 Dead3 (2)1 (1)4 (2)
 Lost to follow-up14 (10)18 (13)32 (12)
 Unconfirmed transfer out17 (12)16 (12)33 (12)
 Traced, alive, no transfer out reportedd15 (11)21 (15)36 (13)
Same-Day Arm (N = 137),Usual Care Arm (N = 137),Total (N = 274),
24-Month Statusn (%)n (%)n (%)
In care at 24 months, n (%)88 (64)81 (59)169 (62)
 In care with suppressed VLa78 (57)74 (54)152 (56)
 In care with unsuppressed VLb6 (4)2 (2)8 (3)
 In care but without VL in 24-month windowc4 (3)5 (4)9 (3)
Not in care at 24 months, n (%)49 (36)56 (41)105 (38)
 Dead3 (2)1 (1)4 (2)
 Lost to follow-up14 (10)18 (13)32 (12)
 Unconfirmed transfer out17 (12)16 (12)33 (12)
 Traced, alive, no transfer out reportedd15 (11)21 (15)36 (13)

Abbreviation: VL, viral load.

aIncluding 11 confirmed transfers out.

bIncluding 1 confirmed transfer out.

cIncluding 2 confirmed transfers out.

dContact with participant in person or by telephone, or status confirmed by village health worker or relative. For details, see Supplement Table 2.

Table 1.

Overall 24-Month Status in Both Arms

Same-Day Arm (N = 137),Usual Care Arm (N = 137),Total (N = 274),
24-Month Statusn (%)n (%)n (%)
In care at 24 months, n (%)88 (64)81 (59)169 (62)
 In care with suppressed VLa78 (57)74 (54)152 (56)
 In care with unsuppressed VLb6 (4)2 (2)8 (3)
 In care but without VL in 24-month windowc4 (3)5 (4)9 (3)
Not in care at 24 months, n (%)49 (36)56 (41)105 (38)
 Dead3 (2)1 (1)4 (2)
 Lost to follow-up14 (10)18 (13)32 (12)
 Unconfirmed transfer out17 (12)16 (12)33 (12)
 Traced, alive, no transfer out reportedd15 (11)21 (15)36 (13)
Same-Day Arm (N = 137),Usual Care Arm (N = 137),Total (N = 274),
24-Month Statusn (%)n (%)n (%)
In care at 24 months, n (%)88 (64)81 (59)169 (62)
 In care with suppressed VLa78 (57)74 (54)152 (56)
 In care with unsuppressed VLb6 (4)2 (2)8 (3)
 In care but without VL in 24-month windowc4 (3)5 (4)9 (3)
Not in care at 24 months, n (%)49 (36)56 (41)105 (38)
 Dead3 (2)1 (1)4 (2)
 Lost to follow-up14 (10)18 (13)32 (12)
 Unconfirmed transfer out17 (12)16 (12)33 (12)
 Traced, alive, no transfer out reportedd15 (11)21 (15)36 (13)

Abbreviation: VL, viral load.

aIncluding 11 confirmed transfers out.

bIncluding 1 confirmed transfer out.

cIncluding 2 confirmed transfers out.

dContact with participant in person or by telephone, or status confirmed by village health worker or relative. For details, see Supplement Table 2.

Table 2.

Association Between Baseline Characteristics and Engagement in Care at 24 Months

Multivariate Logistic Regression (LR χ2 = 32.92, P = .01)Backward Selection (P Value Cutoff = .15)
Baseline Characteristicn (%)aOR (95% CI)β CoefficientP ValueaOR (95% CI)β CoefficientP Value
Same-day arm vs usual care arm137 (50)1.28 (.74–2.23)0.25.379
Age (per year), median (interquartile range)39 (28–52)1.04 (1.02–1.07)0.04.0011.02 (1.00–1.04)0.02.017
Female vs male180 (66)1.48 (.77–2.87)0.39.241
Marital statusa
Single35 (13)1
Married/lives with partner177 (65)0.73 (.31–1.75)−0.31.484
Widowed60 (22)0.21 (.06–.67)−1.57.008
Completed years of school
Primary not completed132 (48)1
Primary completed120 (44)1.45 (.76–2.77)0.37.262
Secondary completed18 (7)0.61 (.19–1.98)–0.49.412
Tertiary completed4 (1)0.69 (.08–5.93)–0.37.734
Employment
In Lesotho with regular income54 (20)1
Outside Lesotho9 (3)0.29 (.05–1.52)−1.25.142
No regular income211 (77)0.61 (.29–1.27)−0.50.183
Known living with HIV vs newly diagnosed living with HIV71 (26)2.55 (1.26–5.18)0.94.0092.43 (1.31–4.51)0.89.05
Plan to disclose to someoneb
Yes235 (86)1
No, not for the moment19 (7)0.73 (.25–2.09)−0.32.557
I don’t know yet13 (5)1.76 (.46–6.74)0.56.412
World Health Organization stagec
I (asymptomatic)211 (77)1
II (oligosymptomatic)48 (18)1.36 (.64–2.90)0.31.419
III (advanced)11 (4)1.96 (.48–8.07)0.67.351
CD4 cell count levels, cells/μLc
<20044 (16)1
200–34976 (28)2.22 (.94–5.26)0.80.070
≥350150 (55)1.55 (.69–3.48)0.44.284
Multivariate Logistic Regression (LR χ2 = 32.92, P = .01)Backward Selection (P Value Cutoff = .15)
Baseline Characteristicn (%)aOR (95% CI)β CoefficientP ValueaOR (95% CI)β CoefficientP Value
Same-day arm vs usual care arm137 (50)1.28 (.74–2.23)0.25.379
Age (per year), median (interquartile range)39 (28–52)1.04 (1.02–1.07)0.04.0011.02 (1.00–1.04)0.02.017
Female vs male180 (66)1.48 (.77–2.87)0.39.241
Marital statusa
Single35 (13)1
Married/lives with partner177 (65)0.73 (.31–1.75)−0.31.484
Widowed60 (22)0.21 (.06–.67)−1.57.008
Completed years of school
Primary not completed132 (48)1
Primary completed120 (44)1.45 (.76–2.77)0.37.262
Secondary completed18 (7)0.61 (.19–1.98)–0.49.412
Tertiary completed4 (1)0.69 (.08–5.93)–0.37.734
Employment
In Lesotho with regular income54 (20)1
Outside Lesotho9 (3)0.29 (.05–1.52)−1.25.142
No regular income211 (77)0.61 (.29–1.27)−0.50.183
Known living with HIV vs newly diagnosed living with HIV71 (26)2.55 (1.26–5.18)0.94.0092.43 (1.31–4.51)0.89.05
Plan to disclose to someoneb
Yes235 (86)1
No, not for the moment19 (7)0.73 (.25–2.09)−0.32.557
I don’t know yet13 (5)1.76 (.46–6.74)0.56.412
World Health Organization stagec
I (asymptomatic)211 (77)1
II (oligosymptomatic)48 (18)1.36 (.64–2.90)0.31.419
III (advanced)11 (4)1.96 (.48–8.07)0.67.351
CD4 cell count levels, cells/μLc
<20044 (16)1
200–34976 (28)2.22 (.94–5.26)0.80.070
≥350150 (55)1.55 (.69–3.48)0.44.284

Complete-case regression analysis (N = 257).

Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; HIV, human immunodeficiency virus; LR, likelihood ratio; (–)N/A, freestanding dashes.

aData from 2 participants missing.

bData from 7 participants missing.

cData from 4 participants missing.

Table 2.

Association Between Baseline Characteristics and Engagement in Care at 24 Months

Multivariate Logistic Regression (LR χ2 = 32.92, P = .01)Backward Selection (P Value Cutoff = .15)
Baseline Characteristicn (%)aOR (95% CI)β CoefficientP ValueaOR (95% CI)β CoefficientP Value
Same-day arm vs usual care arm137 (50)1.28 (.74–2.23)0.25.379
Age (per year), median (interquartile range)39 (28–52)1.04 (1.02–1.07)0.04.0011.02 (1.00–1.04)0.02.017
Female vs male180 (66)1.48 (.77–2.87)0.39.241
Marital statusa
Single35 (13)1
Married/lives with partner177 (65)0.73 (.31–1.75)−0.31.484
Widowed60 (22)0.21 (.06–.67)−1.57.008
Completed years of school
Primary not completed132 (48)1
Primary completed120 (44)1.45 (.76–2.77)0.37.262
Secondary completed18 (7)0.61 (.19–1.98)–0.49.412
Tertiary completed4 (1)0.69 (.08–5.93)–0.37.734
Employment
In Lesotho with regular income54 (20)1
Outside Lesotho9 (3)0.29 (.05–1.52)−1.25.142
No regular income211 (77)0.61 (.29–1.27)−0.50.183
Known living with HIV vs newly diagnosed living with HIV71 (26)2.55 (1.26–5.18)0.94.0092.43 (1.31–4.51)0.89.05
Plan to disclose to someoneb
Yes235 (86)1
No, not for the moment19 (7)0.73 (.25–2.09)−0.32.557
I don’t know yet13 (5)1.76 (.46–6.74)0.56.412
World Health Organization stagec
I (asymptomatic)211 (77)1
II (oligosymptomatic)48 (18)1.36 (.64–2.90)0.31.419
III (advanced)11 (4)1.96 (.48–8.07)0.67.351
CD4 cell count levels, cells/μLc
<20044 (16)1
200–34976 (28)2.22 (.94–5.26)0.80.070
≥350150 (55)1.55 (.69–3.48)0.44.284
Multivariate Logistic Regression (LR χ2 = 32.92, P = .01)Backward Selection (P Value Cutoff = .15)
Baseline Characteristicn (%)aOR (95% CI)β CoefficientP ValueaOR (95% CI)β CoefficientP Value
Same-day arm vs usual care arm137 (50)1.28 (.74–2.23)0.25.379
Age (per year), median (interquartile range)39 (28–52)1.04 (1.02–1.07)0.04.0011.02 (1.00–1.04)0.02.017
Female vs male180 (66)1.48 (.77–2.87)0.39.241
Marital statusa
Single35 (13)1
Married/lives with partner177 (65)0.73 (.31–1.75)−0.31.484
Widowed60 (22)0.21 (.06–.67)−1.57.008
Completed years of school
Primary not completed132 (48)1
Primary completed120 (44)1.45 (.76–2.77)0.37.262
Secondary completed18 (7)0.61 (.19–1.98)–0.49.412
Tertiary completed4 (1)0.69 (.08–5.93)–0.37.734
Employment
In Lesotho with regular income54 (20)1
Outside Lesotho9 (3)0.29 (.05–1.52)−1.25.142
No regular income211 (77)0.61 (.29–1.27)−0.50.183
Known living with HIV vs newly diagnosed living with HIV71 (26)2.55 (1.26–5.18)0.94.0092.43 (1.31–4.51)0.89.05
Plan to disclose to someoneb
Yes235 (86)1
No, not for the moment19 (7)0.73 (.25–2.09)−0.32.557
I don’t know yet13 (5)1.76 (.46–6.74)0.56.412
World Health Organization stagec
I (asymptomatic)211 (77)1
II (oligosymptomatic)48 (18)1.36 (.64–2.90)0.31.419
III (advanced)11 (4)1.96 (.48–8.07)0.67.351
CD4 cell count levels, cells/μLc
<20044 (16)1
200–34976 (28)2.22 (.94–5.26)0.80.070
≥350150 (55)1.55 (.69–3.48)0.44.284

Complete-case regression analysis (N = 257).

Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; HIV, human immunodeficiency virus; LR, likelihood ratio; (–)N/A, freestanding dashes.

aData from 2 participants missing.

bData from 7 participants missing.

cData from 4 participants missing.

Dynamics of engagement in and disengagement from care in the CASCADE trial. Abbreviations: AD, absolute difference; CI, confidence interval; SD, same-day; UC, usual care.
Figure 2.

Dynamics of engagement in and disengagement from care in the CASCADE trial. Abbreviations: AD, absolute difference; CI, confidence interval; SD, same-day; UC, usual care.

Reasons for nonengagement in care for those alive and not in care at 24 months who could be traced are listed in Supplementary Table 1. The main reasons cited included rejection of contact with the healthcare system, rejection of ART due to skepticism related to the HIV diagnosis or ART, and unwillingness/unreadiness to take ART; only a minority of reasons were structural.

In the SD arm, 43 participants had not linked to care within 3 months and were thus potentially exposed to transient ART. Their 24-month outcomes are shown in Table 3. Ten (23%) linked to care after 3 months and remained in care at 24 months. Among these 10, 9 had VL measurement within the 24-month window and 7 of these had a suppressed VL. The other 2 had a VL of 144 and 3180 copies/mL.

Table 3.

24-Month Outcomes of Same-Day Arm Late Linkers and Nonlinkers

OutcomeTotal (N = 43), n (%)
Late linkers: linked to care >3 months after enrollmentSubtotal: 13 (30)
 In care at 24 monthsa10 (23)
  In care with suppressed VL7
  In care with unsuppressed VL2
  In care but without VL in 24-month window1
 Dead1 (2)
 Lost to follow-up2 (5)
 Unconfirmed transfer out0 (0)
Nonlinkers: never linked to careSubtotal: 30 (70)
 Dead2 (5)
 Lost to follow-up6 (14)
 Unconfirmed transfer out9 (21)
 Traced, alive, no transfer out reportedb13 (30)
 Only village health worker reached or participant reached but did not agree to interview and phlebotomy5
 Reached and agreed to interview and phlebotomy (see Table 4)8
OutcomeTotal (N = 43), n (%)
Late linkers: linked to care >3 months after enrollmentSubtotal: 13 (30)
 In care at 24 monthsa10 (23)
  In care with suppressed VL7
  In care with unsuppressed VL2
  In care but without VL in 24-month window1
 Dead1 (2)
 Lost to follow-up2 (5)
 Unconfirmed transfer out0 (0)
Nonlinkers: never linked to careSubtotal: 30 (70)
 Dead2 (5)
 Lost to follow-up6 (14)
 Unconfirmed transfer out9 (21)
 Traced, alive, no transfer out reportedb13 (30)
 Only village health worker reached or participant reached but did not agree to interview and phlebotomy5
 Reached and agreed to interview and phlebotomy (see Table 4)8

Abbreviations: VL, viral load.

aIncluding confirmed transfer out.

bContact with participant in person or by telephone, or status confirmed by village health worker.

Table 3.

24-Month Outcomes of Same-Day Arm Late Linkers and Nonlinkers

OutcomeTotal (N = 43), n (%)
Late linkers: linked to care >3 months after enrollmentSubtotal: 13 (30)
 In care at 24 monthsa10 (23)
  In care with suppressed VL7
  In care with unsuppressed VL2
  In care but without VL in 24-month window1
 Dead1 (2)
 Lost to follow-up2 (5)
 Unconfirmed transfer out0 (0)
Nonlinkers: never linked to careSubtotal: 30 (70)
 Dead2 (5)
 Lost to follow-up6 (14)
 Unconfirmed transfer out9 (21)
 Traced, alive, no transfer out reportedb13 (30)
 Only village health worker reached or participant reached but did not agree to interview and phlebotomy5
 Reached and agreed to interview and phlebotomy (see Table 4)8
OutcomeTotal (N = 43), n (%)
Late linkers: linked to care >3 months after enrollmentSubtotal: 13 (30)
 In care at 24 monthsa10 (23)
  In care with suppressed VL7
  In care with unsuppressed VL2
  In care but without VL in 24-month window1
 Dead1 (2)
 Lost to follow-up2 (5)
 Unconfirmed transfer out0 (0)
Nonlinkers: never linked to careSubtotal: 30 (70)
 Dead2 (5)
 Lost to follow-up6 (14)
 Unconfirmed transfer out9 (21)
 Traced, alive, no transfer out reportedb13 (30)
 Only village health worker reached or participant reached but did not agree to interview and phlebotomy5
 Reached and agreed to interview and phlebotomy (see Table 4)8

Abbreviations: VL, viral load.

aIncluding confirmed transfer out.

bContact with participant in person or by telephone, or status confirmed by village health worker.

Among those in the SD arm who never linked to care, 8 could be reached and agreed to an interview and phlebotomy for drug resistance testing. Their self-reported adherence to the initial 30-day supply of ART, reasons for not linking, as well as baseline and 24-month NGS drug resistance results are listed in Table 4. Among those 8, 2 reported initial adherence to the 30-day ART supply. In comparison to baseline, new DRMs were detectable in both (participant CA194: V106M; participant CA336: K103N, P225H) at 24 months. The remaining 6 stated that they never started ART; in those participants, no new DRMs were detected at 24 months.

Table 4.

Individual 24-Month Outcomes of a Subsample of Same-Day Arm Participants Who Never Linked to Care

PatientSelf-reported Adherence to Initial 30-Day ART SupplyReasons for Nonlinkage to Care After Same-Day ART OfferResistance-Associated Mutations (Prevalence in %) at BaselineaResistance-Associated Mutations (Prevalence in %) at 24 Monthsa
1All pills taken; full adherence (once daily)Cost of transport to clinicK103N (23)K103N (84) V106M (18)
2All pills taken; likely mistakenly taken twice dailyPerceived poor treatment from healthcare professionalsNoneK103N (100) P225H (14)
3No pills takenReliance on traditional medicinen.d.None
4No pills takenFear of being on medication; not feeling ready for lifelong treatmentn.d.n.d.
5No pills takenbFear of being on medication; not feeling well-informed about ART regimenK103N (100)K103N (100)
6No pills takenFear of being on medication; not feeling certain that he/she would be able to take medication correctlyNoneNone
7No pills takenReliance on traditional medicine; travel to South Africa for workNoneNone
8No pills takenNot believing in human immunodeficiency virus diagnosisn.d.n.d.
PatientSelf-reported Adherence to Initial 30-Day ART SupplyReasons for Nonlinkage to Care After Same-Day ART OfferResistance-Associated Mutations (Prevalence in %) at BaselineaResistance-Associated Mutations (Prevalence in %) at 24 Monthsa
1All pills taken; full adherence (once daily)Cost of transport to clinicK103N (23)K103N (84) V106M (18)
2All pills taken; likely mistakenly taken twice dailyPerceived poor treatment from healthcare professionalsNoneK103N (100) P225H (14)
3No pills takenReliance on traditional medicinen.d.None
4No pills takenFear of being on medication; not feeling ready for lifelong treatmentn.d.n.d.
5No pills takenbFear of being on medication; not feeling well-informed about ART regimenK103N (100)K103N (100)
6No pills takenFear of being on medication; not feeling certain that he/she would be able to take medication correctlyNoneNone
7No pills takenReliance on traditional medicine; travel to South Africa for workNoneNone
8No pills takenNot believing in human immunodeficiency virus diagnosisn.d.n.d.

Abbreviations: ART, antiretroviral therapy; n.d., no data.

aExcluding polymorphic resistance-associated mutations that are prevalent at similar frequencies (within 5 percentage points) at baseline and 24 months or, if baseline data are not available, could not be selected by the given drug regimen (ie, polymorphic protease or integrase mutations).

bParticipant indicated prior exposure to antiretroviral drugs in the context of prevention of mother-to-child transmission strategies.

Table 4.

Individual 24-Month Outcomes of a Subsample of Same-Day Arm Participants Who Never Linked to Care

PatientSelf-reported Adherence to Initial 30-Day ART SupplyReasons for Nonlinkage to Care After Same-Day ART OfferResistance-Associated Mutations (Prevalence in %) at BaselineaResistance-Associated Mutations (Prevalence in %) at 24 Monthsa
1All pills taken; full adherence (once daily)Cost of transport to clinicK103N (23)K103N (84) V106M (18)
2All pills taken; likely mistakenly taken twice dailyPerceived poor treatment from healthcare professionalsNoneK103N (100) P225H (14)
3No pills takenReliance on traditional medicinen.d.None
4No pills takenFear of being on medication; not feeling ready for lifelong treatmentn.d.n.d.
5No pills takenbFear of being on medication; not feeling well-informed about ART regimenK103N (100)K103N (100)
6No pills takenFear of being on medication; not feeling certain that he/she would be able to take medication correctlyNoneNone
7No pills takenReliance on traditional medicine; travel to South Africa for workNoneNone
8No pills takenNot believing in human immunodeficiency virus diagnosisn.d.n.d.
PatientSelf-reported Adherence to Initial 30-Day ART SupplyReasons for Nonlinkage to Care After Same-Day ART OfferResistance-Associated Mutations (Prevalence in %) at BaselineaResistance-Associated Mutations (Prevalence in %) at 24 Monthsa
1All pills taken; full adherence (once daily)Cost of transport to clinicK103N (23)K103N (84) V106M (18)
2All pills taken; likely mistakenly taken twice dailyPerceived poor treatment from healthcare professionalsNoneK103N (100) P225H (14)
3No pills takenReliance on traditional medicinen.d.None
4No pills takenFear of being on medication; not feeling ready for lifelong treatmentn.d.n.d.
5No pills takenbFear of being on medication; not feeling well-informed about ART regimenK103N (100)K103N (100)
6No pills takenFear of being on medication; not feeling certain that he/she would be able to take medication correctlyNoneNone
7No pills takenReliance on traditional medicine; travel to South Africa for workNoneNone
8No pills takenNot believing in human immunodeficiency virus diagnosisn.d.n.d.

Abbreviations: ART, antiretroviral therapy; n.d., no data.

aExcluding polymorphic resistance-associated mutations that are prevalent at similar frequencies (within 5 percentage points) at baseline and 24 months or, if baseline data are not available, could not be selected by the given drug regimen (ie, polymorphic protease or integrase mutations).

bParticipant indicated prior exposure to antiretroviral drugs in the context of prevention of mother-to-child transmission strategies.

DISCUSSION

The CASCADE trial has shown that offering SD ART initiation after home-based HIV testing significantly increases the proportion of patients engaged in care with viral suppression 12 months after diagnosis [16]. In this follow-up study, we assessed the 24-month status of care among all participants of the CASCADE trial, the emergence of drug resistance among those receiving home-based SD ART who subsequently did not link to care, and their reasons for not linking to care. To our knowledge, we are the first to report on 24-month outcomes after SD ART initiation in resource-limited settings.

Two years after testing positive for HIV, a significant difference in engagement in care and viral suppression was no longer observed between the SD and UC arms. Equalization between both arms appears to be mainly driven by higher rates of later linkage in the UC arm, as we did not observe higher rates of disengagement from care in the SD arm. Previous studies in pregnant women report higher mid- and long-term disengagement from care upon SD ART initiation [21]. Our findings do not endorse the fear of a compensatory higher attrition from care after SD ART initiation. The reason for the increased late linkage in the UC arm is likely multifactorial. Participants in either arm who were not in care at 12 months were traced and encouraged to (re-) engage in care, which might have had a greater effect in the UC arm. On the other hand, the passing of time without any additional intervention likely had an equalizing effect given the natural cycling of patients in and out of care. Overall rates of 24-month engagement in care and viral suppression observed in our study are in line with previous reports in which we analyzed data from before the test-and-treat era, thus likely missing the pre-ART disengagement from care [22–24].

To our knowledge, there are no reports assessing the potential for rapid community-based ART initiation to cause harm in recipients of SD ART who are transiently exposed to ART but do not link to care. It is encouraging to note that 7 of 9 SD arm late linkers to care for whom VL results were available achieved viral suppression (Table 3). Furthermore, self-reported accounts from the 8 interviewed nonlinkers in the SD arm indicate that 6 did not take any of the initial ART supply and thus had no risk of developing drug resistance, which was confirmed by NGS. The remaining 2 declared full initial adherence; both had acquired therapy-related DRMs still detectable at 24 months that had not existed at enrollment. However, this risk also exists upon attrition from care after UC ART initiation. More importantly, the risk of acquiring DRMs has to be viewed in light of the overall benefit that home-based SD ART decreases the time to linkage to care and successful therapy (Figure 1). This is an essential factor not only for individual health but also to prevent further HIV transmission.

The systematic assessment of the status of all study participants, including verifying self-reported transfer out of care as well as collecting valuable but hard-to-obtain data about participants who never linked after SD ART start, are among the strengths of this study. Our study has, however, several limitations. The study was conducted in the catchment areas of 6 facilities in 1 rural district in Lesotho, and generalizability may be limited. Furthermore, the assessment of the risk of developing therapy resistance as a consequence of unstructured treatment stop was based on very few individuals. Reasons given for nonlinkage to or disengagement from care should be considered exploratory. Finally, it is not clear if the similar outcomes in both study arms are due to the active tracing of participants not engaged in care at 12 months (after completion of the primary endpoint) or simply due to the additional time available to link to care.

Although both arms of the CASCADE trial had higher rates of linkage to care than reported in previous studies [7, 8], almost one-third of SD arm participants did not link to care. More research is needed to explore strategies to increase engagement in care directly after home-based SD ART. The 2 SD arm participants who did not link to care after taking their first 30-day supply of ART noted transport costs and perceived poor treatment by healthcare professionals, respectively, as their reasons. One promising approach for such participants may be decentralized, community-based ART refills following the SD ART initiation, whereby participants are directly linked to a nearby village health worker for subsequent ART refills [25–29].

In conclusion, our findings endorse the current WHO recommendation to offer rapid or even SD ART initiation to individuals diagnosed as living with HIV. Our findings do not indicate that higher initial linkage to care through SD ART would result in substantially higher attrition from care beyond 12 months. Furthermore, the risk of developing drug resistance through SD ART in those who do not link to care exists but appears to be low. However, offering SD ART during home-based HIV testing campaigns alone does not lead to sufficient linkage to care nor sufficient engagement in care. Additional strategies are needed to address the remaining individual challenges in linking to and remaining in care.

Supplementary Data

Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Notes

Author contributions. N. D. L. was the principal investigator of the CASCADE trial. A. A., J. A. B., and N. D. L. were responsible for the design of the follow-up study. J. M., I. R., and T. I. L. coordinated the local project implementation. A. A. and I. R. were responsible for data and biological sample collection. A. A., J. A. B., and N. D. L. analyzed the data. T. R. G. contributed to the statistical analyses. J. A. B. and T. K. were responsible for the virologic analyses conducted in Switzerland. J. A. B. performed next-generation sequencing and analyzed the laboratory data. A. A. and J. A. B. wrote the first draft of the manuscript with input from N. D. L. All authors commented on the manuscript and read and approved the final manuscript for publication.

Acknowledgments. Sample preparation for next-generation sequencing (NGS) was conducted by T. K.’s group as well as Prof Karin Metzner’s group at the University Hospital Zurich and was supported by Christine Leemann. NGS result analysis was supported by Nadine Bachmann in Prof Roger Kouyos’ group at the University Hospital Zurich. The authors thank all participants in the study. The authors also thank the staff at the clinics who supported the study.

Disclaimer. The funders had no role in study design, data collection, data analysis, data interpretation, writing of the manuscript, or the decision to submit the manuscript for publication. Data from this study, including deidentified participant data, study protocol, and informed consent documents, will be made available to researchers. To access data, researchers should contact the corresponding author. Researchers will need to present a concept sheet for their proposed analysis. This will have to be reviewed and approved by all coauthors. The coauthors will consider overlap of the proposed project with active or planned analyses and the appropriateness of study data for the proposed analysis.

Financial support. The study was supported by 2 grants from the Swiss National Science Foundation (grants IZ07Z0_160876/1 and PCEFP3_181355), obtained by N. D. L. A. A. receives his salary through a grant from the MD-PhD program of the Swiss National Science Foundation (grant 323530_177576). This study was embedded in the SolidarMed country program and thus benefited from logistics and human resources provided by SolidarMed Lesotho.

Potential conflicts of interest. The authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

References

1.

World
Health Organization
.
Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: what’s new
. WHO:
Geneva, Switzerland
:
World Health Organization
,
2015
. Available at: https://apps.who.int/iris/bitstream/handle/10665/198064/9789241509893_eng.pdf. Accessed
21 October 2019
.

2.

Mugglin
C
,
Estill
J
,
Wandeler
G
, et al. ;
IeDEA Southern Africa
.
Loss to programme between HIV diagnosis and initiation of antiretroviral therapy in sub-Saharan Africa: systematic review and meta-analysis
.
Trop Med Int Health
2012
;
17
:
1509
20
.

3.

Kranzer
K
,
Govindasamy
D
,
Ford
N
,
Johnston
V
,
Lawn
SD
.
Quantifying and addressing losses along the continuum of care for people living with HIV infection in sub-Saharan Africa: a systematic review
.
J Int AIDS Soc
2012
;
15
:
17383
.

4.

Govindasamy
D
,
Ford
N
,
Kranzer
K
.
Risk factors, barriers and facilitators for linkage to antiretroviral therapy care: a systematic review
.
AIDS
2012
;
26
:
2059
67
.

5.

Siedner
MJ
,
Ng
CK
,
Bassett
IV
,
Katz
IT
,
Bangsberg
DR
,
Tsai
AC
.
Trends in CD4 count at presentation to care and treatment initiation in sub-Saharan Africa, 2002–2013: a meta-analysis
.
Clin Infect Dis
2015
;
60
:
1120
1127
.

6.

Rosen
S
,
Fox
MP
.
Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review
.
PLoS Med
2011
;
8
:
e1001056
.

7.

Ruzagira
E
,
Baisley
K
,
Kamali
A
,
Biraro
S
,
Grosskurth
H
;
Working Group on Linkage to HIV Care
.
Linkage to HIV care after home-based HIV counselling and testing in sub-Saharan Africa: a systematic review
.
Trop Med Int Health
2017
;
22
:
807
21
.

8.

Sharma
M
,
Ying
R
,
Tarr
G
,
Barnabas
R
.
Systematic review and meta-analysis of community and facility-based HIV testing to address linkage to care gaps in sub-Saharan Africa
.
Nature
2015
;
528
:
S77
85
.

9.

Stevens
WS
,
Gous
NM
,
MacLeod
WB
, et al.
Multidisciplinary point-of-care testing in South African primary health care clinics accelerates HIV ART initiation but does not alter retention in care
.
J Acquir Immune Defic Syndr
2017
;
76
:
65
73
.

10.

Amanyire
G
,
Semitala
FC
,
Namusobya
J
, et al.
Effects of a multicomponent intervention to streamline initiation of antiretroviral therapy in Africa: a stepped-wedge cluster-randomised trial
.
Lancet HIV
2016
;
3
:
e539
48
.

11.

Koenig
SP
,
Dorvil
N
,
Dévieux
JG
, et al.
Same-day HIV testing with initiation of antiretroviral therapy versus standard care for persons living with HIV: a randomized unblinded trial
.
PLoS Med
2017
;
14
:
e1002357
.

12.

Rosen
S
,
Maskew
M
,
Fox
MP
, et al.
Initiating antiretroviral therapy for HIV at a patient’s first clinic visit: the RapIT randomized controlled trial
.
PLoS Med
2016
;
13
:
e1002015
.

13.

Ford
N
,
Migone
C
,
Calmy
A
, et al.
Benefits and risks of rapid initiation of antiretroviral therapy
.
AIDS
2018
;
32
:
17
23
.

14.

Mateo-Urdiales
A
,
Johnson
S
,
Smith
R
,
Nachega
JB
,
Eshun-Wilson
I
.
Rapid initiation of antiretroviral therapy for people living with HIV
.
Cochrane Database Syst Rev
2019
;
6
:
CD012962
.

15.

World Health Organization
.
Guidelines for managing advanced HIV disease and rapid initiation of antiretroviral therapy
. WHO:
Geneva, Switzerland
:
World Health Organization
,
2017
. Available at: http://www.ncbi.nlm.nih.gov/books/NBK475977/. Accessed
21 October 2019
.

16.

Labhardt
ND
,
Ringera
I
,
Lejone
TI
, et al.
Effect of offering same-day ART vs usual health facility referral during home-based HIV testing on linkage to care and viral suppression among adults with HIV in Lesotho: the CASCADE randomized clinical trial
.
JAMA
2018
;
319
:
1103
12
.

17.

Labhardt
ND
,
Ringera
I
,
Lejone
TI
, et al.
Same day ART initiation versus clinic-based pre-ART assessment and counselling for individuals newly tested HIV-positive during community-based HIV testing in rural Lesotho—a randomized controlled trial (CASCADE trial)
.
BMC Public Health
2016
;
16
:
329
.

18.

Mbunkah
HA
,
Marzel
A
,
Schmutz
S
, et al.
Low prevalence of transmitted HIV-1 drug resistance detected by a dried blood spot (DBS)-based next-generation sequencing (NGS) method in newly diagnosed individuals in Cameroon in the years 2015–16
.
J Antimicrob Chemother
2018
;
73
:
1917
29
.

19.

Huber
M
,
Metzner
KJ
,
Geissberger
FD
, et al.
MinVar: a rapid and versatile tool for HIV-1 drug resistance genotyping by deep sequencing
.
J Virol Methods
2017
;
240
:
7
13
.

20.

Newcombe
RG
.
Interval estimation for the difference between independent proportions: comparison of eleven methods
.
Stat Med
1998
;
17
:
873
90
.

21.

Knettel
BA
,
Cichowitz
C
,
Ngocho
JS
, et al.
Retention in HIV care during pregnancy and the postpartum period in the option B+ era: systematic review and meta-analysis of studies in Africa
.
J Acquir Immune Defic Syndr
2018
;
77
:
427
438
.

22.

Labhardt
ND
,
Keiser
O
,
Sello
M
, et al. ;
SolidarMed ART Program and IeDEA-Southern Africa
.
Outcomes of antiretroviral treatment programmes in rural Lesotho: health centres and hospitals compared
.
J Int AIDS Soc
2013
;
16
:
18616
.

23.

Fox
MP
,
Rosen
S
.
Retention of adult patients on antiretroviral therapy in low- and middle-income countries: systematic review and meta-analysis 2008–2013
.
J Acquir Immune Defic Syndr
2015
;
69
:
98
108
.

24.

Taieb
F
,
Madec
Y
,
Cournil
A
,
Delaporte
E
.
Virological success after 12 and 24 months of antiretroviral therapy in sub-Saharan Africa: comparing results of trials, cohorts and cross-sectional studies using a systematic review and meta-analysis
.
PLoS One
2017
;
12
:
e0174767
.

25.

Geldsetzer
P
,
Francis
JM
,
Sando
D
, et al.
Community delivery of antiretroviral drugs: a non-inferiority cluster-randomized pragmatic trial in Dar es Salaam, Tanzania
.
PLoS Med
2018
;
15
:
e1002659
.

26.

Barnabas
RV
,
van Rooyen
H
,
Tumwesigye
E
, et al.
Initiation of antiretroviral therapy and viral suppression after home HIV testing and counselling in KwaZulu-Natal, South Africa, and Mbarara district, Uganda: a prospective, observational intervention study
.
Lancet HIV
2014
;
1
:
e68
76
.

27.

Rich
ML
,
Miller
AC
,
Niyigena
P
, et al.
Excellent clinical outcomes and high retention in care among adults in a community-based HIV treatment program in rural Rwanda
.
J Acquir Immune Defic Syndr
2012
;
59
:
e35
42
.

28.

Jaffar
S
,
Amuron
B
,
Foster
S
, et al. ;
Jinja Trial Team
.
Rates of virological failure in patients treated in a home-based versus a facility-based HIV-care model in Jinja, southeast Uganda: a cluster-randomised equivalence trial
.
Lancet
2009
;
374
:
2080
9
.

29.

Amstutz
A
,
Lejone
TI
,
Khesa
L
, et al.
VIBRA trial. Effect of village-based refill of ART following home-based same-day ART initiation vs clinic-based ART refill on viral suppression among individuals living with HIV: protocol of a cluster-randomized clinical trial in rural Lesotho
.
Trials
2019
;
20
:
522
.

Author notes

A. A. and J. A. B. contributed equally to this article and share first authorship.

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