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Journal of the International AIDS Society logoLink to Journal of the International AIDS Society
. 2021 Oct 28;24(Suppl 6):e25819. doi: 10.1002/jia2.25819

Community‐based differentiated service delivery models incorporating multi‐month dispensing of antiretroviral treatment for newly stable people living with HIV receiving single annual clinical visits: a pooled analysis of two cluster‐randomized trials in southern Africa

Geoffrey Fatti 1,2,, Nicoletta Ngorima‐Mabhena 1, Appolinaire Tiam 3, Betty Bawuba Tukei 4, Tonderai Kasu 5, Trish Muzenda 1,6, Khotso Maile 4, Carl Lombard 2,7, Charles Chasela 8,9, Ashraf Grimwood 1
PMCID: PMC8554219  PMID: 34713614

Abstract

Introduction

Differentiated service delivery (DSD) models for HIV treatment decrease health facility visit frequency and limit healthcare facility‐based exposure to severe acute respiratory syndrome coronavirus 2. However, two important evidence gaps include understanding DSD effectiveness amongst clients commencing DSD within 12 months of antiretroviral treatment (ART) initiation and amongst clients receiving only single annual clinical consultations. To investigate these, we pooled data from two cluster‐randomized trials investigating community‐based DSD in Zimbabwe and Lesotho.

Methods

Individual‐level participant data of newly stable adults enrolled between 6 and 12 months after ART initiation were pooled. Both trials (conducted between August 2017 and July 2019) had three arms: Standard‐of‐care three‐monthly ART provision at healthcare facilities (SoC, control); ART provided three‐monthly in community ART groups (CAGs) (3MC) and ART provided six‐monthly in either CAGs or at community‐distribution points (6MC). Clinical visits were three‐monthly in SoC and annually in intervention arms. The primary outcome was retention in care and secondary outcomes were viral suppression (VS) and number of unscheduled facility visits 12 months after enrolment. Individual‐level regression analyses were conducted by intention‐to‐treat specifying for clustering and adjusted for country.

Results and Discussion

A total of 599 participants were included; 212 (35.4%), 128 (21.4%) and 259 (43.2%) in SoC, 3MC and 6MC, respectively. Few participants aged <25 years were included (n = 32). After 12 months, 198 (93.4%), 123 (96.1%) and 248 (95.8%) were retained in SoC, 3MC and 6MC, respectively. Retention in 3MC was superior versus SoC, adjusted risk difference (aRD) = 4.6% (95% CI: 0.7%−8.5%). Retention in 6MC was non‐inferior versus SoC, aRD = 1.7% (95% CI: −2.5%−5.9%) (prespecified non‐inferiority aRD margin −3.25%). VS was similar between arms, 99.3, 98.6 and 98.1% in SoC, 3MC and 6MC, respectively. Adjusted risk ratio's for VS were 0.98 (95% CI: 0.92−1.03) for 3MC versus SoC, and 0.98 (CI: 0.95−1.00) for 6MC versus SoC. Unscheduled clinic visits were not increased in intervention arms: incidence rate ratio = 0.53 (CI: 0.16−1.80) for 3MC versus SoC; and 0.82 (CI: 0.25−2.79) for 6MC versus SoC.

Conclusions

Community‐based DSD incorporating three‐ and six‐monthly ART refills and single annual clinical visits were at least non‐inferior to standard facility‐based care amongst newly stable ART clients aged ≥25 years.

ClinicalTrials.gov: NCT03238846 & NCT03438370

Keywords: antiretroviral treatment, cluster‐randomized trial, COVID‐19, differentiated service delivery, multi‐month dispensing, operational research

1. INTRODUCTION

Multi‐month dispensing (MMD) of antiretroviral treatment (ART) is a component of a number of differentiated service delivery (DSD) models that extends the period between ART refills to three‐ or six‐monthly [1]. MMD increases the efficiency of overburdened health systems in resource‐limited settings and is preferred by ART clients as the burden and costs of frequent facility visits are reduced [2, 3]. In the COVID‐19 era, reducing facility visit frequency and enabling ART receipt outside of health facilities are crucial DSD adaptations to safeguard both ART clients and healthcare workers from severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection [4, 5]. Safely scaling‐up DSD to as great a number of ART clients as possible in resource‐limited settings with high HIV prevalence is an urgent priority for health systems facing both pandemics of HIV and COVID‐19 [4].

DSD models incorporating MMD have recently been found to be non‐inferior to standard‐of‐care ART provision in three cluster‐randomized trials (CRTs) in southern Africa [6, 7, 8]. However, in these and other studies, participants received ART for prolonged time periods before commencing DSD (up to median 7 years) with very few who initiated DSD within 12 months of ART initiation [7, 9, 10, 11]. Without empirical evidence being available, it is currently unclear whether the safety and effectiveness of DSD is generalizable to newly stable clients within 12 months of ART initiation [12]. In some countries, eligibility to receive DSD and MMD has been reduced to 6 months from ART initiation; however, MMD eligibility remains at 12 months after ART initiation according to national policy in many sub‐Saharan African countries and India [13]. Defining these eligibility criteria has important consequences for ART clients, noting that inadequate time since ART initiation was the most frequent reason for ineligibility for MMD in a recent study from Zambia and Malawi [14].

Regarding the frequency of clinical visits, the World Health Organization (WHO) currently recommends that clinical visits be offered three‐ to six‐monthly for people established on ART [15]. Some countries have, however, reduced health facility visit frequency to only once annually (including in a CRT from South Africa [7]), which limits potential SARS‐CoV‐2 exposure and reduces burdens and costs for health systems and ART clients [16]. However, little randomized evidence regarding the safety and effectiveness of single annual clinical visits for newly stable ART clients is available. To investigate the effectiveness of community‐based DSD for ART clients initiating DSD specifically within 12 months of ART initiation with single annual facility visits, we pooled data from two large operational research CRTs investigating DSD to increase the sample of newly stable participants.

2. METHODS

Individual‐level participant data (IPD) from two CRTs in Zimbabwe and Lesotho were pooled. The aim of both trials was to assess whether community‐based DSD models incorporating MMD are non‐inferior to standard‐of‐care facility‐based ART provision for stable ART patients. The trials were conceptualized and implemented concurrently, had similar protocols, similar inclusion criteria, similar intervention and control arms, and similar hypotheses and outcomes, thus, data from the trials were suitable for pooling. The trials are described in detail elsewhere [6, 8, 17, 18]. Briefly, both trials were three‐arm, parallel, unblinded, pragmatic, non‐inferiority CRTs. Each arm in both trials consisted of ten health facilities (clusters) as follows:

  • Control arm (SoC): Participants received standard‐of‐care ART and clinical consultations at three‐monthly intervals at facilities.

  • Intervention arm 1 (3MC): Participants received ART at three‐monthly intervals in community ART groups (CAGs) with annual facility visits and clinical consultations.

  • Intervention arm 2 (6MC): Participants received ART at six‐monthly intervals in CAGs (Zimbabwe) or community distribution points (Lesotho) with annual facility visits and clinical consultations.

Study facilities (n = 60) were public health facilities in eight districts of the two countries. Clusters were allocated to the arms in each country with randomization stratified by urban/rural location and hospital/primary healthcare clinic. Adults (≥18 years) were eligible for enrolment if they were stable on ART, defined as receiving standard first‐line ART for ≥6 months and having a suppressed viral load (VL) (<1000 copies/mL) within the last 12 months, without active opportunistic infections or comorbidities requiring facility visits more frequently than six‐monthly, and who were not pregnant or postpartum. Recruitment commenced in August 2017 and follow‐up was completed in July 2019. In Zimbabwe and Lesotho, national ART guidelines had recently been modified to allow ART clients to be eligible for DSD from 6 months after ART initiation, which differed from the prevailing WHO guidelines which recommended DSD eligibility from 12 months after ART initiation [19]. As we were specifically interested in outcomes amongst those who enrolled ≤12 months following ART initiation, analyses were restricted to those who initiated ART between 6 and 12 months previously.

The model of care for each arm is given in detail in Table S1. After 12 months, all participants were scheduled to receive a clinical consultation, VL testing and ART supply at the facility, where VL results were reported as unsuppressed, patients were recalled to the clinics. The trials were embedded in routine healthcare services with no interference by study staff in the healthcare models.

The primary outcome was the proportion remaining in ART care 12 months after enrolment by intention‐to‐treat including participants in each arm as per baseline allocation. Retention in care is a critical indicator of ART program success [20]. The principal hypothesis was that retention for both intervention arms would be non‐inferior versus control (SoC) with a non‐inferiority margin of −3.25% (risk difference [RD]), as per the original trials. Secondary outcomes were proportions achieving viral suppression (VS) after 12 months, and the number of unscheduled facility visits between months 0 and 12. As VL testing infrastructure scale‐up was incomplete in these countries during the study, VS was a secondary outcome and we used participants with available VL results as the denominator for VS analyses.

Retention in care was defined as one‐participant attrition, where attrition was defined as either death (all‐cause) or loss to follow‐up (LTFU). LTFU was defined as no ART collection for >90 days after the last missed scheduled ART collection date. Participants not arriving for the scheduled 12‐month visit were considered retained if collecting ART within 90 days following the appointment date. Participants transferring‐out were censored at the date of transfer. VS was defined as VL <1000 copies/mL. Those eligible for outcome VL testing were enrolled participants excluding those who died, were lost to‐follow‐up or who had transferred‐out. Unscheduled facility visits were defined as any visit to the study clinics for any reason outside of visits scheduled by the assigned model of care.

For the main outcomes analyses, we performed “one‐stage” IPD meta‐analyses (stratified by trial), being appropriate when few trials are included, when participant numbers are small or when outcome events are rare [21, 22, 23, 24]. These analyses are detailed in the Supporting information. As an additional analysis for the primary outcome, a “two‐stage” meta‐analysis of IPD was performed by estimating cluster‐adjusted RDs separately for each trial and then combining these to estimate pooled RDs using random‐effects meta‐analysis. Heterogeneity was assessed using the I 2 statistic and forest plots. Ethical approval was provided by the Stellenbosch University Health Research Ethics Committee, reference S20/05/128.

3. RESULTS AND DISCUSSION

Data of 5336 participants from Lesotho and 4800 from Zimbabwe were pooled (total of 10,136 participants) (Figure S1). Amongst these, 9537 were enrolled >12 months after ART initiation and excluded. Thus, 599 participants enrolled between 6 and 12 months after ART initiation were included; 212 (35.4%), 128 (21.4%) and 259 (43.2%) in arms SoC, 3MC and 6MC, respectively. Baseline clinical variables were similar between arms. Little variation between arms was apparent regarding time from ART initiation until study enrolment (Table 1). Few participants aged <25 years were included (n = 32).

Table 1.

Characteristics of participants at enrolment according to study arm

SoC (control) (n = 212) 3MC (n = 128) 6MC (n = 259) All participants (n = 599)
Age (years), median (IQR) 38.6 (32.2–48.1) 42.6 (35.7–50.7) 39.8 (32.1–49.6) 39.8 (32.8–49.6)
Age categories, n (%)
18–24 years 15 (7.1) 4 (3.1) 13 (5.0) 32 (5.3)
25–49 years 151 (71.2) 91 (71.1) 189 (73.0) 431 (72.0)
≥ 50 years 46 (21.7) 33 (25.8) 57 (22.0) 136 (22.7)
Female, n (%) 118 (55.7) 96 (75.0) 167 (64.5) 381 (63.6)
Duration from ART initiation to study enrolment, months, median (IQR) 10.5 (8.9–11.6) 9.8 (8.2–11.3) 10.5 (9.1–11.5) 10.4 (8.7–11.5)
Time from HIV diagnosis to ART initiation, months, median (IQR) 0 (0–1.7) 0 (0–20.2) 0 (0–5.5) 0 (0–2)
WHO clinical stage
Stage I or II 184 (86.8) 105 (82.0) 206 (79.5) 495 (82.6)
Stage III 23 (10.9) 19 (14.8) 51 (19.7) 93 (15.5)
Not recorded 5 (2.4) 4 (3.1) 2 (0.8) 11 (1.8)
CD4 cell count, cells/μL, median (IQR) 485 (289–654) 460.5 (310–716) 513.5 (318–640) 486 (306–654)
Weight, kg, median (IQR) 60.8 (55–67) 62 (54.7–74.9) 60.8 (54–70) 61 (54.3–69.8)
Year of ART initiation, median (IQR) 2016 (2016–2017) 2017 (2016–2017) 2017 (2016–2017) 2017 (2016–2017)
Disclosed HIV status, n (%) 200 (94.3) 119 (93.0) 246 (95.0) 565 (94.5)
Unemployed, n (%) 123 (58.0) 77 (60.2) 125 (48.3) 325 (54.4)
Married, n (%) 121 (57.1) 61 (47.7) 154 (59.5) 336 (56.2)
Currently drinks alcohol, n (%) 47 (22.2) 18 (14.1) 48 (18.5) 113 (18.9)
Facility type
Primary healthcare clinic, n (%) 151 (71.2) 108 (84.3) 181 (69.9) 440 (73.5)
Hospital‐based facility, n (%) 61 (28.8) 20 (15.6) 78 (30.1) 159 (26.5)
Location
Rural, n (%) 153 (72.2) 70 (54.7) 211 (81.5) 434 (72.5)
Urban, n (%) 59 (27.8) 58 (45.3) 48 (18.5) 165 (27.5)
Country
Lesotho, n (%) 118 (55.7) 51 (39.8) 150 (57.9) 319 (53.3)
Zimbabwe, n (%) 94 (44.3) 77 (60.2) 109 (42.1) 280 (46.7)

SoC‐participants received three‐monthly dispensing of ART at the facility. 3MC‐participants received 3 months’ supply of ART in community ART groups (CAGs). 6MC‐participants received 6 months’ supply of ART in CAGs or at community distribution points. ART: antiretroviral treatment; IQR: interquartile range; WHO: World Health Organization.

After 12 months, retention was similar in all arms, 198 of 212 (93.4%), 123 of 128 (96.1%) and 248 of 259 (95.8%) in SoC, 3MC and 6MC, respectively (Table 2). In regression analyses adjusted for randomization variables and trial, retention in 3MC was superior versus SoC, adjusted risk difference (aRD) = 4.6% (95% CI: 0.7−8.5%) and retention in 6MC was non‐inferior versus SoC, aRD = 1.7% (95% CI: −2.5 to 5.9%) (Figure 1). 6MC was also non‐inferior versus 3MC. Few participants transitioned off the intervention arms due to requiring increased frequency of ART dispensing; 0.8% and 0.8% in 3MC and 6MC, respectively (Figure S1). We noted that retention amongst the small sample of participants aged <25 years was reduced and that in this age group retention in 6MC was reduced versus SoC (Tables S2 and S3). Gender was not associated with retention in this analysis, and gender was not an effect modifier.

Table 2.

Comparison of 12‐month study outcomes between arms

Retention in ART care (primary outcome) a Viral suppression b Unscheduled facility visits c
Unadjusted estimates Adjusted estimates d Unadjusted estimates Adjusted estimates d Unadjusted estimates Adjusted estimates d
Enrolled, N Retained, n (%) RD (95% CI) p RD (95% CI) p Tested, n/N (%) e Suppressed n (%) RR (95% CI) p RR (95% CI) p No., mean (SD) f IRR (95% CI) p IRR (95% CI) P
SoC 212 198 (93.4) Ref Ref 143/198 (72.2) 142 (99.3) Ref Ref 0.28 (0.83) Ref Ref
3MC 128 123 (96.1) 2.9% (‐1.8 to 7.5%) 0.23 4.6% (0.7 to 8.5%) 0.02 72/122 (59.0) 71 (98.6) 0.99 (0.97–1.02) 0.73 0.98 (0.92‐1.03) 0.41 0.13 (0.49) 0.51 (0.13–1.92) 0.32 0.53 (0.16‐1.80) 0.31
6MC 259 248 (95.8) 2.3% (‐1.5 to 6.1%) 0.24 1.7% (‐2.5 to 5.9%) 0.42 103/243 (42.4) 101 (98.1) 0.99 (0.96–1.01) 0.33 0.98 (0.95‐1.00) 0.10 0.25 (0.67) 0.84 (0.24–2.92) 0.79 0.82 (0.25‐2.79) 0.76
6MC (vs 3MC) 259 248 (95.8) ‐0.6% (95% CI: −4.5 3.3%) 0.77 1.1% (‐2.9 to 5.0%) 0.60 103/243 (42.4) 101 (98.1) 0.99 (0.96–1.03) 0.64 1.0 (0.94–1.07) 0.96 0.25 (0.67) 1.55 (0.56–4.22) 0.40 1.65 (0.58‐4.74) 0.35
a

Risk differences were estimated using binomial population‐averaged generalized estimating equations using an exchangeable correlation structure stratified by trial, specifying for clustering by facility, using robust standard errors, and using a small cluster size variance correction. The measured intracluster correlation coefficient for retention was <0.001.

b

Risk ratios were estimated using log‐binomial population‐averaged generalized estimating equations using an exchangeable correlation structure stratified by trial, specifying for clustering by facility, using robust standard errors, and using a small cluster size variance correction.

c

Population‐averaged Poisson regression models were used to estimate incidence rate ratio's stratified by trial, specified for clustering by facility and using robust standard errors.

d

Adjusted estimates were adjusted for primary healthcare clinic/hospital‐based facility and rural/urban geolocation.

e

Those tested for viral load /those eligible for viral load testing at 12 months. Those eligible for viral load testing were enrolled participants less those who died, were lost to‐follow up or who had transferred‐out prior to 12 months after enrolment.

f

Number of unscheduled facility visits between months 0 to 12 of study.

SoC‐participants received three‐monthly dispensing of ART at the facility. 3MC‐participants received three months’ supply of ART in community ART groups (CAGs). 6MC‐participants received 6 months’ supply of ART in CAGs or at community distribution points. ART, antiretroviral therapy; CI, confidence interval; IRR, incidence rate ratio; RD, risk difference; Ref, reference category; RR, risk ratio.

Figure 1.

Figure 1

Arm comparisons of the primary outcome (retention in antiretroviral treatment care).

Effect measures are risk differences with 95% confidence intervals. SoC‐participants received three‐monthly dispensing of ART at the facility. 3MC‐participants received three months’ supply of ART in community ART groups (CAGs). 6MC‐participants received 6 months’ supply of ART in CAGs or at community distribution points.

The additional analyses using the “two‐stage” approach for the primary outcome showed similar results to the “one‐stage” approach, with heterogeneity being low. Estimated pooled RDs were 2.9% (95% CI: −1.0 to 6.8%) for 3MC versus SoC (I 2 = 0%; p = 0.84); and pooled RD = 2.6% (95% CI: −2.1 to 7.2%) for 6MC versus SoC (I 2 = 33%; p = 0.22) (Figures S2 and S3).

VL result availability at 12 months varied dramatically between districts (7‐93%) and sites (0%‐100%). Amongst those eligible for VL testing, 72.2, 59.0 and 42.4% had available VL results in SoC, 3MC and 6MC, respectively. Amongst these, VS was high and similar by arm, 99.3, 98.6 and 98.1% in SoC, 3MC and 6MC, respectively. Regression analyses confirmed that VS was similar between arms (Table 2). Differences in VS by age category were not apparent (Table S4).

Participants in all arms had few unscheduled facility visits between months 0 and 12 with little variation between arms. In regression analyses, intervention arms did not increased incidence of unscheduled facility visits (Table 2).

In this analysis of pooled data from two CRTs, including stable ART clients receiving ART for 6–12 months, retention was non‐inferior amongst participants receiving three‐ and six‐monthly community‐based MMD with single annual clinical visits for those aged ≥25 years. VS was similar, and unscheduled facility visits were not increased, which is reassuring as facility visits increase the risk of exposure to SARS‐CoV‐2. This suggests that eligibility for community‐based DSD models incorporating MMD may be safely extended to include newly stable ART clients in southern Africa to allow greater numbers of people to benefit from these models, which are also particularly relevant in the COVID‐19 era.

Strengths of our study include the randomized design that included 60 facilities in eight high HIV‐prevalence districts of southern Africa. Study limitations include the relatively small sample size that resulted in reduced power and limited precision of effect measures. Although study power was reduced, we did not increase the non‐inferiority margin compared to the original trials (in order to increase power) as we did not want to jeopardize the relatively strict criterion for non‐inferiority as defined by the original trials. The sample of participants aged <25 years was particularly small, thus, conclusions regarding this age group could not be drawn. Studies including larger sample sizes of this age group need to be conducted to ascertain if overall results are generalizable to this group. VL result availability was lower in the intervention arms; however, this was likely heavily influenced by highly variable VL testing infrastructure at different sites and districts of the study areas, reflecting differing public VL testing scale‐up that occurred during the study period. Further research in areas with good access to VL testing services should be conducted to establish if VL completion rates for out‐of‐facility models are acceptable amongst newly stable ART clients. In addition, outcomes beyond 12 months after enrolment were not measured. Further studies, including larger sample sizes and having longer participant follow‐up durations, should be conducted to validate study findings.

4. CONCLUSIONS

Amongst newly stable ART clients receiving ART for 6–12 months, community‐based DSD models incorporating three‐ and six‐monthly ART refills with single annual clinical visits were at least non‐inferior to standard three‐monthly facility‐based care amongst those aged ≥25 years. These models should be considered for scaling in light of both the COVID‐19 pandemic and to allow more people to benefit from these patient‐centred models. Few participants aged <25 years were included, and further research to ascertain if community‐based DSD models effectively retain newly stable ART clients in this age group should be conducted. Further research is also needed to assess whether community‐based DSD models are suitable for those who have initiated ART within 6 months.

COMPETING INTERESTS

The authors declare that they have no conflict of interest.

AUTHORS’ CONTRIBUTIONS

GF, NNM, AT, BBT, CL, CC, AG designed the research study. GF, NNM, AT, BBT, TK, KM, CC, AG performed the research. GF and TM analyzed the data. GF wrote the paper. All authors have read and approved the final manuscript.

FUNDING

President's Emergency Plan for AIDS Relief through the United States Agency for International Development EQUIP mechanism (Grant number AID‐OAA‐A‐15‐00070).

Supporting information

Table S1. Brief description of the model of care for each arm of the trials

Table S2. Individual‐level factors associated with participant retention in ART care 12 months after enrolment (primary outcome)

Table S3. Arm comparison of retention in care after 12 months stratified by age category

Table S4. Arm comparison of viral suppression after 12 months stratified by age category

Figure S1. Study flow diagram

Figure S2. Forest plot of estimated pooled risk difference of retention in ART care at 12 months for arm 3MC vs. SoC

Figure S3. Forest plot of estimated pooled risk difference of retention in ART care at 12 months for arm 6MC vs. SoC

ACKNOWLEDGEMENTS

The authors wish to acknowledge the Zimbabwe Ministry of Health and Child Care; EQUIP Health; the Organization for Public Health Interventions and Development Zimbabwe; FHI360 Zimbabwe; Population Services International Zimbabwe; the Lesotho Ministry of Health; Christian Health Association of Lesotho; the Elizabeth Glaser Paediatric AIDS Foundation; Lesotho Network of AIDS Services Organisation; and participants and health facility staff.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1. Brief description of the model of care for each arm of the trials

Table S2. Individual‐level factors associated with participant retention in ART care 12 months after enrolment (primary outcome)

Table S3. Arm comparison of retention in care after 12 months stratified by age category

Table S4. Arm comparison of viral suppression after 12 months stratified by age category

Figure S1. Study flow diagram

Figure S2. Forest plot of estimated pooled risk difference of retention in ART care at 12 months for arm 3MC vs. SoC

Figure S3. Forest plot of estimated pooled risk difference of retention in ART care at 12 months for arm 6MC vs. SoC


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