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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: AIDS Behav. 2020 Oct 30;25(4):1129–1143. doi: 10.1007/s10461-020-03063-1

The Treatment Ambassador Program: A Highly Acceptable and Feasible Community-Based Peer Intervention for South Africans Living with HIV Who Delay or Discontinue Antiretroviral Therapy

Ingrid T Katz 1,2,3,4, Laura M Bogart 5, Garrett M Fitzmaurice 1,2,6,7, Vincent S Staggs 8,9, Marya V Gwadz 10, Ingrid V Bassett 2,11, Anna Cross 12, Ingrid Courtney 12, Lungiswa Tsolekile 13, Regina Panda 12, Sonja Steck 1, David R Bangsberg 14, Catherine Orrell 12,*, Kathy Goggin 8,9,15,*
PMCID: PMC7979476  NIHMSID: NIHMS1642768  PMID: 33125587

Abstract

We conducted a novel pilot randomized controlled trial of the Treatment Ambassador Program (TAP), an 8-session, peer-based, behavioral intervention for people with HIV (PWH) in South Africa not on antiretroviral therapy (ART). PWH (43 intervention, 41 controls) completed baseline, three- and six-month assessments. TAP was highly feasible (90% completion), with peer counselors demonstrating good intervention fidelity. Post-intervention interviews showed high acceptability of TAP and counselors, who supported autonomy, assisted with clinical navigation, and provided psychosocial support. Intention-to-treat analyses indicated increased ART initiation by three months in the intervention vs. control arm (12.2% [5/41] vs. 2.3% [1/43], Fisher exact p-value = 0.105; Cohen’s h = 0.41). Among those previously on ART (off for >6 months), 33.3% initiated ART by three months in the intervention vs. 14.3% in the control arm (Cohen’s h = 0.45). Results suggest that TAP was highly acceptable and feasible among PWH not on ART.

Keywords: Engagement in Care, South Africa, ART initiation, Motivational Interviewing, peer-based intervention, behavioral intervention, differentiated service delivery

INTRODUCTION

South Africa currently provides treatment for nearly 60% of the 7.9 million people with HIV (PWH) in the country. While this is over a two-fold increase in the past decade,1 it is still far from achieving UNAIDS 90-90-90 targets.2 Significant attrition from the care cascade has been documented consistently throughout the region, despite sweeping changes made to increase access to and availability of antiretroviral therapy (ART).37 A recent prospective cohort study of 500 PWH presenting for testing in Soweto and Gugulethu townships adds to these data, showing that 62% of treatment-eligible PWH initiated ART, but only 25% had evidence of an undetectable HIV-1 plasma RNA (<50 copies/ml) within nine months of testing.8,9

Prior research has shown PWH encounter individual, social, and structural barriers to initiating care, such as fear of side effects, HIV-associated stigma, and long clinic waiting times.10 For those who delay or decline treatment, the perceived risks of disclosing one’s status and experiencing HIV-associated stigma may outweigh the life-saving benefits of ART.11 Conversely, those who start treatment and achieve viral suppression do so through a combination of adaptive coping and support from key partners. These findings are consistent with other studies showing that PWH who have non-judgmental, nonconfrontational support are more likely to be engaged in care.12,13

While prior research has focused on how to better engage individuals who fail to initiate ART, few studies have developed interventions targeting individuals who were previously on ART but discontinued treatment.7,10 Differentiated service delivery models, client-centered approaches that simplify and adapt HIV services to reflect the preferences, expectations, and needs of individual PWH, while reducing unnecessary burdens on the healthcare system, are critical in engaging this population in care.8,14,15 Behavioral research can inform the feasibility and acceptability of differentiated care models for optimizing ART initiation and adherence. In particular, research focused on increasing resilience, or individuals’ capacity to overcome adversity and stress to achieve health and well-being,1618 may be especially helpful for identifying modifiable strength-based factors that can promote healthy outcomes.11,19,20

Interventions promoting adaptive coping may be associated with acceptance of a new HIV diagnosis by fostering problem solving and emotional expression, while mitigating the perceived risk associated with starting treatment.7,21 In addition, enhancing social support, including comfort and/or assistance from others, has been shown to be associated with better HIV-related health symptoms among PWH, possibly because it buffers people from the negative effects of stressors on physical health.19,20 For this reason, peer-delivered interventions may be successful in improving engagement in care for PWH by increasing levels of social support as well as providing patients with information on how to best navigate HIV-services.12,2228

In this study, we developed and tested a new intervention, called the “Treatment Ambassador Program (TAP),” a client-focused, peer-based differentiated care strategy for addressing individual, social, and structural level barriers to ART initiation, in order to promote early and enduring treatment uptake by PWH.2931 Given its focus on reducing individual barriers to starting ART, promoting social support, and enhancing linkages to the healthcare system, we hypothesized that the Treatment Ambassador Program would be highly acceptable and feasible among PWH who faced challenges initiating or staying on ART in South Africa.32,33

METHODS

Study Design

The study was a pilot randomized controlled trial of an intervention targeting PWH in Gugulethu Township, South Africa. We assessed acceptability and feasibility, along with fidelity to the intervention by peer interventionists, called “Treatment Ambassadors.” Eighty-four participants completed structured surveys at baseline; follow-up assessments occurred at three and six-months post-baseline. Participants were randomly assigned at a 1:1 ratio to intervention (n=41) or control (n=43) arms at baseline. We also conducted an evaluation of the different intervention components and their implementation using semi-structured exit interviews with 30 randomly selected participants (25 from the intervention arm and 5 from the control arm) upon completion of the intervention.34 All study visits (for intervention and assessment sessions) took place in a neutral non-clinical space (e.g., a church or community center) that was convenient for participants.

Description of the Treatment Ambassador Program

The Treatment Ambassador Program was iteratively developed in partnership with a Community Advisory Board, a group of key stakeholders in the Gugulethu community, who provided crucial contextual expertise and guidance in the development of the intervention. Specifically, the research team met with the Community Advisory Board three to four times per year, beginning in the pre-pilot phase, and through the end of the study to solicit feedback, and provide progress reports. Core intervention components included one-on-one client-centered counseling sessions and patient navigation. The intervention development was based on prior research7,35,36 and findings from a large systematic review focused on understanding why PWH delayed or discontinued treatment in low- and middle-income countries.6 Building on the Theory of Triadic Influence (TTI),37 this intervention was designed to address individual-, social-, and structural-level barriers to ART initiation (see Figure 1). TAP was hypothesized to work through several mechanisms and levels as framed by the TTI: (1) individual-level factors, including attitudes and beliefs about treatment, by building the knowledge base and trust of treatment for participants, while promoting self-efficacy and effective coping strategies; (2) social-level factors through social interactive processes that address HIV-related stigma and the need for disclosure; and (3) structural-level factors through facilitating engagement with clinic providers.

Figure 1: Conceptual Model of Treatment Ambassador Program (TAP)*.

Figure 1:

*Based on our explanatory Framework of ART Refusal

The intervention was tailored for the South African context using content and strategies from Motivational Interviewing (MI)-enhanced interventions that were developed and tested in the U.S.3840 As shown in Table 1, the full intervention consisted of eight sessions over 8–14 weeks for PWH who had not initiated treatment within six months of testing or had previously initiated ART, but been off treatment for over six months. MI strategies were used to create collaborative, goal-oriented communication focused on enhancing intrinsic motivation for behavior change by helping individuals to identify discrepancies between their stated goals and values, and current behavior.41 Treatment Ambassadors helped clients to develop problem-solving skills to overcome key individual- and social-level barriers. Interventions using MI have demonstrated acceptability, feasibility, and fidelity in research in South Africa.42,43

Table 1:

Psycho-Social Components of The Treatment Ambassador Program

Sessions Focus and Goals Content Description
Session 1: Welcome Session Focus: Building rapport and understanding of participant
Goal: Elicit participant’s beliefs and concerns about ART and treatment
  • Treatment Ambassador (TA) introduces self, explains study highlighting autonomy and supportive approach

  • TA elicits participant’s beliefs about ART and treatment and why s/he has chosen not to take ART

  • With permission, TA offers information - address knowledge deficits or misconceptions

  • TA reflects participant’s reasons against/for taking ART and asks for thoughts

  • TA offers educational materials for participant to review/consider before next visit

Session 2: Enhancing Motivation and Confidence Focus: Enhancing motivation and confidence
Goal: Elicit participant’s treatment readiness
  • TA reviews participant’s thoughts about last session

  • TA evaluates ART readiness

  • TA explores participant’s beliefs about importance of taking ART using Importance Ruler*

  • TA explores participant’s confidence in their ability to take ART using Confidence Ruler*

  • TA explores link between not taking/taking ART and participants values using Values Clarification Card

  • TA/Participant develop a written action plan for one health-related goal (e.g., reduce alcohol use, disclosure, start ART)

  • TA provides summary of session and asks for thoughts

Sessions 3–8: Supporting motivation, confidence, and skills For each session, participant selects most relevant topic from list Focus: Supporting motivation, confidence, and skills to address common barriers
Goals: Enhance positive attitudes, increase skills and support to address barriers with the goal of increasing treatment readiness
  • TA reviews participant’s thoughts about last session and evaluate ART-readiness

  • TA re-explores participant’s beliefs about importance of and confidence for taking ART using rulers

  • Participant selects session content from options below:
    1. Addressing Barriers: Elicit barriers to starting ART (e.g., anticipated stigma, social isolation, disclosure, structural barriers) and identify possible solutions.
    2. Personal Support and Disclosure: Identify people who can provide support and encourage disclosure; role plays.
    3. Dealing with Stigma: Elicit thoughts/worries and experiences, highlight external and internalized stigma, explore link to health/goals and coping strategies.
    4. Steps to Take to Start Treatment: Explore why participant originally got tested, their awareness of steps necessary to start ART, interest in accompaniment.
    5. Addressing Concerns about Side-Effects: Elicit concerns about treatment side-effects, with permission offer information and develop plan to address concerns.
  • TA/Participant develop a written action plan for one health-related goal

  • TA provides summary of session and asks for thoughts

  • Importance and Confidence Rulers are used as a tool to evaluate the importance an individual assigns to a given task (e.g., “On a scale of 0–10, ranging from not at all important to extremely important, how important is it for you to start ARVs this week?”) and the confidence they have to execute it (“e.g., On a scale of 0–10, ranging from not at all confident to extremely confident, how confident are you that you could start ARVs this week?”).

Two Treatment Ambassadors were identified by study staff from a group of PWH previously selected from among the 2,500 PWH in care at Gugulethu Community Health Centers to be trained as clinic counselors.44 The Treatment Ambassadors underwent two rounds of three full days of intensive training over six months in MI techniques and TAP intervention content and structure. Consistent with the client-centered counseling approach, TAP counselors tailored session content to individual participants’ needs, focusing on improving treatment knowledge, promoting self-efficacy and coping skills, and supporting perceptions of treatment benefits. Treatment Ambassadors conveyed stories about their own experiences with these issues to participants, in order to act as role models for ART initiation. Each session involved goal setting and review of the participant’s personal treatment plan. Treatment Ambassadors offered to accompany participants to their preferred treatment center and served as a liaison with healthcare providers. They also provided information about how to link to services and encouragement to link to other services (e.g., substance use/mental health), as well as practical tips for navigating through clinic, including reviewing a detailed map of the steps required to initiate care in a standard public facility.

Participants

Participants (n=84) were recruited between January and December 2017 in Gugulethu using a community-based hybrid approach comprised of targeted sampling in community-based organization and peer-to-peer recruitment through snowball sampling in Gugulethu township, and distributing fliers in the community describing the study with contact information provided. The study protocol and data collection instruments were approved by Human Subjects Committees at Partners Healthcare and the University of Cape Town Human Research Ethics Committee. All participants provided written informed consent. Study data were collected and managed using a secure, web-based, Research Electronic Data Capture (REDCap) tool.45 The study was registered with Clinicaltrials.gov (NCT03099707). This study was designed as a feasibility and acceptability trial, rather than an effectiveness trial. As such, the sample size was not determined by power analysis to detect an effect size. Rather, the sample size was the largest that was feasible in the context of a small study of a novel intervention.

Eligibility Criteria

Inclusion criteria included people who: (1) were living with HIV; (2) were of 18 years of age or older; (3) had not initiated ART within six months of learning their status or were off treatment for at least six months; (4) lived within 60 km of the testing center; and (5) were English- or isiXhosa-speaking. All people living with HIV were eligible for treatment under current South African guidelines, including peer-based treatment preparedness sessions.46 Participants were excluded if they were unable to provide informed consent, if they had been on ART within the last six months, or if they were women who reported current pregnancy at the time of consent (since they qualified for intensive adherence support under current South African guidelines). ART laboratory data were obtained from the South African National Health Laboratory Service (NHLS) database.4749 Researchers screened 133 potential participants. Of these, 26 did not meet enrollment criteria due to an inability to sign informed consent (one individual) or recent ART use within the last three months (25 individuals). An additional 23 were withdrawn by the Principal Investigator due to not meeting inclusion criteria, with three individuals ultimately found to be HIV-negative, and 20 others appeared to be actively or recently on treatment based on data from NHLS (Figure 2). Ultimately, 84 participants were successfully enrolled.

Figure 2:

Figure 2:

Study Enrollment – CONSORT diagram

Randomization

Participants were randomized by the study’s principal statistician in a 1:1 ratio to the intervention or control arm after the baseline assessment was completed. Those in the control arm received no intervention, beyond engagement with study staff for the assessments at designated times. All participants had access to free comprehensive HIV care and services in community-based settings. Field staff worked with the principal statistician to develop a randomization assignment, and assignments were stored in a password-protected file only available to the principal statistician. Staff and participants were not blind to intervention arm assignment, however, researchers were blinded during consent and the baseline survey, prior to randomization, so that the baseline measures were not biased by foreknowledge of conditions. In addition, team members assessing clinical outcomes in NHLS were blinded to the study arms of the participants during data collection. Of the 84 participants enrolled, 43 were allocated to the control arm and 41 to the intervention arm (Treatment Ambassador Program).

Assessment Procedures

Overview.

Eligible individuals provided signed informed consent for study participation and accessing NHLS data. They participated in structured, 60-minute baseline and follow-up surveys conducted in person with a bilingual (English and isiXhosa) research assistant. Baseline and follow-up surveys used the same measures; follow-up assessments were conducted at Time 2 (T2; three months post-intervention, focused mainly on the past three months) and Time 3 (T3; six months post-intervention, focused mainly on the past six months). Participants received Rand 100 (roughly $8 U.S.) for each baseline and follow-up assessment for their time and fare for local public transportation, and a bonus of Rand 200 (roughly an additional $16 U.S.) for completing all three surveys. Participants in the intervention arm received Rand 20 (roughly $1.50 U.S.) for each session to cover transportation to and from the venue.

NHLS Data.

We assessed ART initiation within three months after study enrollment. While the follow-up assessments were conducted at three and six months post-intervention, treatment initiation was measured only at three months to capture the importance of early treatment initiation, which is associated with better long-term outcomes.50,51 ART initiation was assessed using NHLS data, based on a measure of creatinine that was performed prior to initiation of tenofovir (part of the standard first-line ART regimen in South Africa). ART workup blood tests as recorded in NHLS have been previously validated as an accurate measure to impute dates of treatment initiation among South African PWH who are receiving public-sector HIV care.52 All treatment initiation was verified with prescription data and pill bottle visualization, in which participants brought their medications to a visit with the Treatment Ambassador, to show them they had initiated treatment.

Survey Instrument.

Survey measures were administered at baseline and follow-up to assess psychosocial characteristics, as well as sociodemographic and medical characteristics potentially related to behavior at baseline and at follow-up in both arms of the study to evaluate the moderators and mediators of intervention effects (See Table 2). The TTI states that health related behaviors are shaped by individual-, social-, and structural-level factors and thus, the survey attempted to analyze barriers at these three levels. Individual-level factors included self-perceived health and wellness, as well as coping and mental health. These factors were measured using the Short Form-8 questionnaire to capture general health perceptions, the AUDIT scale to measure alcohol and recreational drug use, the Brief COPE to assess how participants deal with stressors, and the Patient Health Questionnaire to measure depression, anxiety, and somatic complaints.5358 The social-level factors included were perceived social support, measured using the Medical Outcomes Study Social Support Survey, HIV-associated stigma (internalized, enacted, and anticipated), measured using the Internalized AIDS-Related Stigma Scale and the HIV stigma framework, and disclosure concerns, measured using HIV stigma scale.5962 Structural-factors included barriers to accessing ART and trust in ART efficacy, measured by assessing competing needs and barriers to care in the past six months and a scale based on the RAND HIV Cost and Services Utilization Study, respectively.6365

Table 2.

Behavioral Survey Measures

Individual-Level Factors
Attitudes and Beliefs Self-perceived Health and Wellness.
1) General health perceptions were measured using the Short Form-8 questionnaire, which indicated personal ratings of health status, and how physical health problems affected usual activities and mood (0.87).53,54
2) A modified AUDIT scale was used to measure alcohol and recreational drug use (frequency of use of alcohol and a variety of other substances (α = 0.88).55
Capabilities Coping and Mental Health.
1) Brief COPE was used to assess for differences in how participants cope with stressors, including how often people engage in certain behaviors post-diagnosis of HIV, including denial, self-blame, substance use, behavioral disengagement, self-distraction, and venting (15-items; (α = 0.86).57,56,88
2) Depression and anxiety symptoms and somatic complaints were measured using the 9-item Patient Health Questionnaire (PHQ) (α =0.76).58
Social-Level Factors
Social Interaction Processes Perceived Social Support. Medical Outcomes Study (MOS) Social Support Survey (a for all subscales greater than 0.91).59
HIV-associated Internalized, Enacted, and Anticipated Stigma. Internalized stigma was measured using the Internalized AIDS-Related Stigma Scale (α = 0.75).60 Enacted and anticipated stigma (a between 0.87–0.89 for all subscales) was measured using the HIV stigma framework.61
Disclosure concerns. Concerns were measured with a psychometric assessment of the HIV stigma scale (α = 0.96).62
Structural-Level Factors
Barriers to Accessing ART Barriers and competing needs were assessed by asking participants whether they had experienced each of 13 problems when medical care was needed in the past six months (e.g. not knowing where to find care, affordability of medications or transportation).63 The count of each participant’s “yes” responses to these 13 yes/no items was taken as their score.
Perceived Quality of Care Trust in ART efficacy. Scale based on the RAND HIV Cost and Services Utilization Study (HCSUS) (Cronbach’s a = 0.71).64,65
Intervention and Assessment Feasibility: Study Participant Tracking Records and Fidelity Ratings.

Assessment of intervention feasibility measures included participation withdrawal and retention rates for the intervention and study assessments. We used the following benchmarks to assess feasibility of the intervention: ≤10% withdrawing from the intervention arm, ≥50% enrollment of eligible participants, ≥80% completion of three-month and six-month outcome assessments.66 Sessions were recorded and scored to assess Treatment Ambassador’s fidelity to the intervention content and MI style using established procedures.40,67,68 Trained independent isiXhosa raters coded the extent to which Treatment Ambassadors addressed key session content as presented in the manual and training. Fidelity to key content delivery was measured using a checklist, rated as “Yes” (1), “No” (0), “Partially” (0.5), or “N/A” (excluded). Scores for each content item were summed to create a total score for each session. The overall average content fidelity for all sessions was then calculated by averaging all the individual total session scores, with a 1 indicating perfect fidelity to the manualized session content. Fidelity to the MI strategies presented in the manual and training (i.e., reflective listening, asking permission, open ended question, expressing empathy, summaries, and overall quality) was assessed using a modified version of the Motivational Interviewing Treatment Integrity (MITI) Code22 which is scored on a 7 point scale. An overall average of 5 and above indicates excellent adherence to MI style throughout sessions.

Intervention Acceptability: Qualitative Data.

Semi-structured exit interviews were performed after completion of the intervention with a random subset of 30 participants (25 intervention, 5 control; 100% Black African; 96% females). While the focus of these semi-structured interviews was to understand the acceptability of the intervention, we also chose to interview a small number of control participants to provide a comparison to intervention participants to understand perceived barriers to and facilitators of ART initiation in the absence of the intervention. .29 Interviews were conducted in isiXhosa or English, at participant’s preference and audio-recorded, transcribed, and translated as required. Qualitative data were entered into NVivo 10© (QSR International Pty Ltd 2014) software.

Data Analysis

Data analysis focused on characterizing perceived acceptability (extent to which people receiving an intervention consider it to be appropriate), which was operationalized in terms of attitudes toward and perceptions of the intervention and its components.23 Sample questions to assess perceived acceptability included questions regarding the structure of the sessions, comfort with the Treatment Ambassador, cultural sensitivity, and the content and length of the survey. Using an inductive approach based upon grounded theory, categories were constructed to name, define, and illustrate content themes.69 We searched interview data for key concepts that pertained to intervention acceptability and displayed the text in matrices to identify patterns. Patterns of content appearing repeatedly in the data formed the basis for thematic categories. Coding began with a provisional start-list of themes based on prior research. Twenty percent of the interviews (n=6) were independently read and new themes were iteratively generated based on identifying themes that were not present in the start-list, which resulted in a codebook. The team members coded 20% additional interviews (n=6) to calibrate the methods of evaluation, and one individual, using the standards established, coded the remaining interviews (Cohen’s Kappa=0.82). For each of the seven survey measures, we compared responses at six months by computing the mean response for each arm, a 95% bootstrap confidence interval for the between-arm difference in means, and a permutation test p-value for the between-arm difference in means adjusted for each participant’s baseline score. To assess preliminary efficacy, rates of ART initiation at three months for the two arms were compared by computing the relative “risk” of initiation and testing for an association between arm and initiation rate using Fisher’s exact test.

RESULTS

Participants

At enrollment (Table 3), participants’ median age was 34 (IQR 29, 43) years. Over three-quarters of the participants were female, and the majority were unemployed (88% in the control arm and 98% in the intervention arm). The median time since taking a diagnostic HIV-test was 33 (IQR 21, 53) months. Over half of the participants reported testing last for HIV due to “feeling sick” (51% in the control arm and 54% in the intervention arm). Across both arms, participants’ self-perception of health was good, very good, or excellent in the month prior to the intervention (86% in the control arm and 90% in the intervention arm); however, participants indicated challenges with coping (median 1 on a scale of 1 to 4), and over 90% reported food insecurity. There were no statistically significant differences at baseline between those assigned to the intervention and control arms on psychosocial, sociodemographic, and medical characteristics.

Table 3:

Socio-demographic and health characteristics at baseline

Control (n=43) (Median, IQR) Intervention (n=41) (Median, IQR) Total (n=84) (Median, IQR)
Age at Screening 34 (30, 43) 34 (27,43) 34 (29, 43)
Months since dx test 43 (23, 62) 30 (21, 48) 33 (21, 53)
Number of times participant tested for HIV 2 (1,3) 2 (2,3) 1 (1, 2)
CD4 at last HIV test 400 (340, 555) 460 (378, 546) 410 (375, 555)
Female 77% 88% 82%
Parent 86% 71% 79%
Employed 12% 2% 7%
Completed high school 93% 98% 95%
Most common reason for last HIV test 51% felt sick 54% felt sick 53% felt sick
Most common reason for not starting ART 45% not ready 44% not ready 45% not ready
Perceived General Health 86% 90% 88%
 Overall rating of health as good, very good, or excellent in past four weeks
Substance Use 14% 22% 18%
 Drink alcohol four or more times per week 42% 63% 51%
 Ever Smoke Cigarettes 12% 12% 12%
 Ever Used other recreational drugs
Coping (Ability to Cope) 1 (1, 1) 1 (1, 1) 1 (1, 1)
 2-item scale (min 1, max 4)
Belief in ARV Efficacy 3 (2.9, 3) 3 (3, 3) 3 (2.9, 3)
 8-item scale (min 1, max 4)
Most common reason to go without healthcare, money needed for… 93% food 90% food 92% food

Feasibility and Fidelity

The intervention was highly feasible, with 90% of the 41 participants randomized to the intervention arm participating in the full intervention (three voluntarily withdrew before the intervention started and one voluntarily withdrew prior to completing the intervention). All 38 participants who started the intervention completed both the three and six-month follow-up surveys. There were no adverse or unintended effects reported during the intervention or follow-up assessments.

The intervention counselors maintained high levels of fidelity. All eight sessions delivered to the 38 intervention participants who completed the full intervention were recorded, totaling in 256 recorded MI sessions. Roughly 25% were chosen at random to assess session content and MI style fidelity. Of 73 sessions (29%) randomly selected to assess content fidelity, the median score was 0.90 (IQR 0.81–0.95), with a score of 1 indicating that all content described in the manual was delivered in the session. Of 71 sessions (28%) randomly selected to assess MI style, the median intervention session score was 4.3 (IQR 3.6–5.0) indicating strong use of MI strategies during counseling sessions.

Intervention Acceptability – Qualitative Data

The exit interview data indicated that all 25 intervention participants interviewed found the intervention to be highly acceptable. Acceptability clustered around five primary themes: (1) support from an “ideal” partner promoting self-reflection; (2) support of autonomy and intrinsic motivation while promoting disclosure; (3) assistance with navigating a challenging clinical environment; and (4) the need to unpack barriers, including myths and misinformation, anticipated and internalized stigma, and denial. Table 4 summarizes results from our qualitative interviews. Individuals who engaged in the intervention but did not start ART reported several barriers to ART initiation that were not addressed by the intervention, including: structural challenges getting to clinic and waiting to be seen; competing needs and priorities; and social isolation. Suggestions to improve the intervention from participants included: direct delivery of ART by nurses outside of a clinic setting; strategies to improve self-efficacy; and ongoing education regarding safety of ART usage (especially if using alcohol). See Table 5.

Table 4:

Acceptability of the Treatment Ambassador Program – Mechanisms of Action (n = 25)

Support from an Ideal Partner
Quote from Participant
Gaining Medical Knowledge through the Treatment Ambassador Program “Well, sisi, they were not long, they were not short – [as] we were benefitting, getting educated. Being educated about things that are happening here in – in our bodies and in our journey. Because I wasn’t the kind of person who would use a condom. But now I’ve learned a lot. I am using the condom.”
Social Support Social Support from Family or Friends “The person that I have already informed, the first one is my boyfriend, my life partner. He knows. He once said to me, as I’m about to go to the clinic on the first week of December, ‘I can go with you, if they didn’t call me to work – [then] I will go with you to the thingamajig.’ [Thanks] to you. So, [thanks] to you guys, actually.”
Social Support from TAP “[The Treatment Ambassador] was telling me himself – about himself too, understand? So, he told that I should not be worried, I should be free. Well, I then became free as well – if he can tell me about – about his [HIV] status, so, perhaps I can be able to chat with him – about mine.”
Support of Autonomy and Intrinsic Motivation
Quote from Participant
Intrinsic Motivation “There’s nothing that people are going to do for you. You have to live for your children, that’s all – and for your family.”
Self-efficacy “The study, it has helped me – the first thing that I can tell you. It’s got me out of problems. Even that issue of sleeplessness – I do sleep now. Because I didn’t know who I am. I don’t want to lie, sisi. I didn’t know whether, who am I? Even if I’m worried, I throw everything on this problem that I’m in. But it is not a problem – It [used] to be a big problem. Now I am saying – today, since I’m attending the study, ‘It isn’t a problem. I am human, you know. I am alive.’ ”
Disclosure “It’s my boyfriend. [I previously worried] what’s he going to be like? But, man, I just became free, then I told him. He said he had been afraid to tell me himself first, for a long [time].”
Assistance with Navigating a Challenging Clinical Environment
Quote from Participant
Challenges with the Clinic Challenges with Patient/Provider Communication Interviewer: “Which session did you [guys] perhaps discuss in, whereby you felt that you were becoming comfortable?”
Participant: “I can say, session – the session – the session – I think, the session about going to the clinic. You see? At the clinic, how to – perhaps going to the reception and enquiring; how to handle the nurses. Yes. So, I would say, if the nurses ridicule you, you go to the superior, you see? Yeah, I would – I would say so.”
Interviewer: “So, how did you feel about that discussion then?”
Participant: “Yeah, ok, in that discussion I left with the information that I didn’t have. You see? Yeah. I am someone who likes going to the clinic. So, I left with the information that I didn’t have [before]. So, I a learnt a lot about the right thing.”
Challenges with Disclosure due to Clinic Structure “The reason I was not able to go to take the treatment is because they will be talking about me. Because if you are there at the the Day Hospital, they watch which door you’re at. You find that in this queue, at this door, someone who lives with you gets to see you. He/she gets to the township and says, ‘Well, so-and-so is also like this. I saw her at a certain door.’”
Unpacking Persistent Barriers
Quote from Participant
Myths and Misinformation “In starting the treatment, I used to be afraid because I saw it from my cousin, that it is bad. It made pimples appear on her – and a rash on her body. She became itchy, it left black spots on her. That’s why I was afraid in the beginning. But [the Treatment Ambassador] taught me that, no, it depends on the body’s parts, whether what are they like inside. But now that fear has left me.”
Stigma Anticipated Stigma I: “So, when you say that, perhaps is it the way – How were you feeling in the past?”
P: “I used to think – I didn’t see myself being – being able to – I didn’t consider myself human among [other] humans.”
I: “What was causing that?”
P: “The guilty conscience I had about myself. It’s how I [felt] about myself.”
Internalized Stigma “Back then I was afraid of – perhaps of – dis - discrimination, you see? Yes, I was afraid of that, getting judged. That perhaps I brought it upon myself; and it’s my fault – that I’m like this. Things like that – just some negative comments.”
Denial “At that time I heard some fear. I – I – I had thoughts that, no, probably they – they’ve made a mistake. You know? It – It – It can’t be inside me. It’s a disease that can perhaps happen to other people. You know. It’s not – I think hadn’t accepted it yet or I hadn’t heard a lot – about it, I’d say so.”
Hierarchy of Needs “The reason that now I still haven’t gone to the treatment – for, I am ready to take it – it’s just that I’m finishing writing [the exams] next Monday. So, after I’ve finished writing [the exams] next week, that’s when I’m going to just get up – Because I was stressed due to – it’s the study, on the [other hand] it’s the treatment, and then on the other it’s school, it requires – a lot from me. So, now that I’m going to finish writing, it’s only now that I am going to start the treatment – the treatment, I will get up – and go to the clinic.”

Table 5.

Barriers to uptake and suggestions for the TAP Intervention.

Theme Excerpt
Barriers
1 Structural challenges getting to clinic and waiting to be seen “[Traveling to acquire medication] will still [cost] transport fare. The money won’t always be there, of course, for you to be travelling to take the pills. You see?” Female participant.
2 Competing needs and priorities “The reason that now I still haven’t gone to the treatment – for, I am ready to take it – it’s just that I’m finishing writing [the exams] next Monday. So, after I’ve finished writing [the exams] next week, that’s when I’m going to just get up – Because I was stressed due to – it’s the study, on the [other hand] it’s the treatment, and then on the other it’s school, it requires – a lot from me. So, now that I’m going to finish writing, it’s only now that I am going to start the treatment – the treatment, I will get up – and go to the clinic.” Female participant.
3 Social isolation among participants “… It’s fear of people. Like, you haven’t disclosed to your family; you haven’t disclosed to anyone else. Then if you are to go to the clinic, one of them is going to see you. So, then it is going to fill the community.” Female participant.
Suggestions
1 Direct delivery of ART “I think the one that might be a good plan is that of people bringing [medication] to us..” Female participant.
2 Promoting self-efficacy “Interviewer: We would like to make it bigger, so it’s good – as you are also praising it. What would you perhaps advise us to add, like, to this programme that we are conducting?”
Participant: “In this programme that I’m in, I wished that – as I also – as I was attending here, I do have some people whom I would like to get knowledge about this programme that you are doing, whom I could bring along, who don’t have knowledge. So, we can help them, so they can also be free. Because they are also affected the same way that I was affected.” Female participant.
3 Ongoing education regarding safety of ART usage “[I would like to learn] how you should live, in order to live a long life… And how you should ‘eat’ — you should ‘eat’ the treatment and the things that you perhaps see appearing on your [body], then advice — ask for advice; seek knowledge, perhaps.” Female participant.

Survey Results

There was little evidence of difference between arms at six months on the survey measures, including ARV efficacy, social support, internal stigma, disclosure concern, and barriers (See Table 6). The exception was the depression measure (PHQ9). On average, intervention participants reported better (lower) scores (mean 0.32, SD 0.24) than control participants (mean 0.61, SD 0.56) (95% CI for difference in means = −0.48, −0.09; permutation test p-value, controlling for baseline scores = 0.002).

Table 6:

Comparison of 6-month scores for control and intervention participants

Control (n = 38) Intervention (n = 43) 95% CIa for difference pb
Scale Mean SD Mean SD
COPE (2 items) 1.53 0.85 1.24 0.57 −0.59, 0.05 0.078
ARV efficacy 2.93 0.34 3.00 0.24 −0.07, 0.19 0.356
Social support 4.22 0.64 4.39 0.65 −0.10, 0.46 0.233
PHQ9 0.61 0.56 0.32 0.24 −0.48, −0.09 0.002
Internal stigma 2.61 1.50 2.30 1.26 −0.92, 0.30 0.460
Disclosure concern 3.47 1.72 3.81 1.61 −0.39, 1.02 0.221
Barriers 4.55 2.50 3.91 2.17 −1.65, 0.39 0.405
a

95% bootstrap confidence interval for difference between means.

b

Permutation test p-value for between-arm difference, controlling for baseline scores.

Preliminary Efficacy

Rates of confirmed ART initiation by three months in the intervention and control arms were 12% (5/41) and 2% (1/43), respectively (Fisher exact p-value = 0.105; Cohen’s h = 0.41). Relative “risk” of ART initiation was 5.2 (95% CI 0.6–43.0). Rates of confirmed ART initiation by three months among those who were previously on ART in the intervention and control arms were 33% (5/15) and 14% (1/7), respectively (Fisher exact p-value = 0.616; Cohen’s h = 0.45, indicating a meaningful effect size). Relative “risk” of ART initiation for this subgroup was 2.3 (95% CI 0.3–16.4). This exploratory study was not powered for definitive null hypothesis significance testing, but the first test of this new intervention was designed to explore preliminary efficacy.

DISCUSSION

In this manuscript, we report on a novel behavioral intervention targeting a population at high-risk for poor health outcomes: PWH from a hard-to-reach population in South Africa who were aware of their status but were not taking ART nor engaged in care. These participants, all recruited though peers and other community members, were diagnosed with HIV on average three to four years prior to enrolling in the study. The Treatment Ambassador Program was shown to be highly acceptable and feasible as a tool to improve initiation among a highly disenfranchised population. In addition, participants in the intervention arm reported improvements in symptoms of depression as compared to the control arm. Peers, whom we identified as Treatment Ambassadors, delivered the intervention with a high degree of fidelity, despite having no formal advanced degree or counseling training. Our promising findings demonstrate the potential for peer-delivered interventions and provide support for an approach that is both acceptable and feasible.

The use of peers as counselors is based on a substantial literature that supports linking participants with peer supporters to promote HIV-related behavior change, with effect sizes generally comparable to provider-led interventions.2426,35,70,71 Participants enrolled in the Treatment Ambassador Program cited gaining medical knowledge, social support, self-efficacy, support with disclosure, and overcoming challenges with stigmatizing health systems as critical aspects of the program. Among those initiating ART, intrinsic motivation, disclosing to a trusted friend or family-member, and an ability to overcome barriers appeared to be essential mechanisms of action. These findings are consistent with literature demonstrating that peer supporters can be credible role models and challenge negative peer norms about care and ART.27,7275 Moreover, support with clinical navigation has been shown to improve engagement and retention of low-income PWH in HIV care,76 including in sub-Saharan Africa.13,28,77 This component was based on the Health Resources and Service Administration HIV System Navigation model,78 and informed by prior research in South Africa,79 focusing on a strengths-based approach.80 The individuals initiating ART in our sample described that the level of support provided by the Treatment Ambassadors was largely missing from their daily lives, supporting prior research that showed that PWH struggle to trust family and friends due to concerns about stigma and discrimination.81

Given that South Africa has the highest burden of HIV/AIDS but a shortage of trained health care workers, task-shifting and sharing of health service responsibilities are essential for a treatment model to be sustainable and scalable in this setting.27,73,74,82 Peer-delivered, community-based interventions, such as the Treatment Ambassador Program, present both a scalable and sustainable solution to improving treatment for high-risk populations of PWH who struggle to engage in care. The feasibility and acceptability of this intervention suggest that there is untapped value in leveraging community resources to better engage these key populations. Peer interventions have potential for high-impact in low resource settings, as they reduce the burden on health care workers and strained health systems. Despite concerns that peer supporters could fail to deliver interventions with a high degree of fidelity, the Treatment Ambassadors in this study demonstrated that peers can be trusted to deliver interventions and should be leveraged in settings with shortages of health care workers. While past studies have primarily evaluated the impact of interventions focused on improving ART adherence39,79 and engagement in HIV primary care,83,84 or promoting early ART initiation within the context of “treatment for all,”85 few behavioral interventions have been designed for PWH who have delayed, declined, or discontinued ART.51

This intervention showed high levels of feasibility and acceptability amongst a population that had remained out of treatment for, on average, 33 months since initial testing. This demonstrates the promise of differentiated service delivery models in engaging populations who have delayed or declined ART for an extended period, especially highly disenfranchised populations such as the one identified in this study. This is consistent with previous research that has found that peer supporters have a unique ability to access hidden populations that may have limited interactions with the health care system.86 Individuals in this population described persistent barriers to accessing care, such as structural challenges in getting to the clinic, competing needs and priorities, and social isolation. In the study population, individuals experienced high levels of food insecurity and reported that needing money for food was the most common reason to delay or decline health care. Given that food insecurity is commonly cited as a reason for poor clinic attendance and poor ART uptake and adherence, it is important to address this competing need in order to improve adherence in this population.87 While this intervention shows considerable promise and potential in reaching these individuals, modifications to the intervention are needed for the next phase of this research program to address persistent barriers, and future studies with a longer follow-up period and a study of intervention mediators may shed light on whether the impact can be augmented.

Several key limitations in our study should be considered. First, this is an exploratory study with a modest sample size. Data on effects of psychosocial factors in the pilot study were generally inconclusive. For example, while participants who initiated ART reported disclosure to others as a critical step to initiation, this sample was small and thus, these results do not necessarily imply that disclosure is a necessary step in ART initiation. Studies with a larger population and a longer follow-up may provide more detail on specific mechanisms of action in this population. In addition, participants in our study were diagnosed with HIV for, on average, three years before enrolling. Prior data collected at this site show that the longer PWH wait from the point of testing to initiate ART, the less likely they are to ever engage in care.83 These data are supported by other studies in sub-Saharan Africa.84,85 Therefore, the Treatment Ambassador Program has the potential to be more efficacious if offered closer to the time of HIV testing. Further, participants highlighted persistent challenges with initiating treatment, such as structural challenges in getting to the clinic, competing needs and priorities, and social isolation, despite the acceptability and feasibility of this intervention. Future research is necessary that builds upon this intervention by incorporating the solutions to these barriers suggested by participants, such as direct delivery of ART, enhanced channels of social support, and ongoing education about the safety of ART usage.

CONCLUSIONS

There is an urgent need for interventions to improve rates of ART initiation among the 40% of South Africans living with HIV who are not on treatment. The present intervention was found to be highly acceptable and feasible, providing a potential strategy to engage a highly disenfranchised population who are not traditionally represented in standard healthcare settings. The model presented here shows a promising pathway to harness the power of peers in delivering interventions, while maintaining a high degree of fidelity. Beyond this, it identifies several promising intervention components that merit further study.

Acknowledgements

We would like to thank the individuals who participated in this study, and the broader study team. The Treatment Ambassador Program (TAP) was supported by: National Institute of Health (NIH); Institute: National Institute of Mental Health (NIMH); Type: Planning Grant (R34). Project #: 5R34MH108393-02. Dr. Bassett was supported to this work by a K24AI141036 grant from the NIH, and Dr. Bogart was supported by P30MH058107. The study can be referenced on Clinicaltrials.gov under the unique identifier NCT03099707. We particularly wish to acknowledge our Program Officer at the National Institute of Mental Health (NIMH), Michael Stirratt, Ph.D., Program Chief at the NIMH Division of AIDS Research for scientific guidance throughout the study.

Footnotes

Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.

Works Cited

  • 1.Joint United Nations Programme on HIV/AIDS (UNAIDS). Country Report - South Africa http://www.unaids.org/en/regionscountries/countries/southafrica. Published 2018. Accessed February 28, 2020.
  • 2.Joint United Nations Programme on HIV/AIDS (UNAIDS). Ending AIDS: Progress Towards the 90-90-90 Targets. United Nations http://www.unaids.org/sites/default/files/media_asset/Global_AIDS_update_2017_en.pdf Published 2017. Accessed February 28, 2020.
  • 3.Cloete C, Regan S, Giddy J, et al. The Linkage Outcomes of a Large-scale, Rapid Transfer of HIV-infected Patients From Hospital-based to Community-based Clinics in South Africa. Open Forum Infect Dis. 2014;1(2):ofu058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fox MP, Shearer K, Maskew M, Meyer-Rath G, Clouse K, Sanne I. Attrition through multiple stages of pre-treatment and ART HIV care in South Africa. PLoS One. 2014;9(10):e110252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Plazy M, Dray-Spira R, Orne-Gliemann J, Dabis F, Newell ML. Continuum in HIV care from entry to ART initiation in rural KwaZulu-Natal, South Africa. Trop Med Int Health. 2014;19(6):680–689. [DOI] [PubMed] [Google Scholar]
  • 6.Plazy M, Orne-Gliemann J, Dabis F, Dray-Spira R. Retention in care prior to antiretroviral treatment eligibility in sub-Saharan Africa: a systematic review of the literature. BMJ Open. 2015;5(6):e006927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bor J, Chiu C, Ahmed S, et al. Failure to initiate HIV treatment in patients with high CD4 counts: evidence from demographic surveillance in rural South Africa. Trop Med Int Health. 2018;23(2):206–220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Katz IT. Linkage and Retention to Care for Vulnerable Populations in Sub-Saharan Africa. Paper presented at: International Conference on HIV Treatment and Prevention Adherence; June 8–10, 2018; Miami, FL, US. [Google Scholar]
  • 9.Katz IT, Bogart LM, Dietrich JJ, et al. Understanding the role of resilience resources, antiretroviral therapy initiation, and HIV-1 RNA suppression among people living with HIV in South Africa: a prospective cohort study. AIDS. 2019;33:S71–S79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Govindasamy D, Ford N, Kranzer K. Risk factors, barriers and facilitators for linkage to antiretroviral therapy care: a systematic review. AIDS. 2012;26(16):2059–2067. [DOI] [PubMed] [Google Scholar]
  • 11.Katz IT, Dietrich J, Tshabalala G, et al. Understanding treatment refusal among adults presenting for HIV-testing in Soweto, South Africa: a qualitative study. AIDS and behavior. 2015;19(4):704–714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Genberg BL, Shangani S, Sabatino K, et al. Improving Engagement in the HIV Care Cascade: A Systematic Review of Interventions Involving People Living with HIV/AIDS as Peers. AIDS Behav. 2016;20(10):2452–2463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Steward WT, Sumitani J, Moran ME, et al. Engaging HIV-positive clients in care: acceptability and mechanisms of action of a peer navigation program in South Africa. AIDS Care. 2018;30(3):330–337. [DOI] [PubMed] [Google Scholar]
  • 14.Duncombe C, Rosenblum S, Hellmann N, et al. Reframing HIV care: putting people at the centre of antiretroviral delivery. Trop Med Int Health. 2015;20(4):430–447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.International Aids Society (IAS). Differentiated Care for HIV: A Decision Framework for Antiretroviral Therapy. IAS. http://www.differentiatedcare.org/Portals/0/adam/Content/yS6M-GKB5EWs_uTBHk1C1Q/File/Decision%20Framework%20REPRINT%20web.pdf. Published 2016. Updated July 2016. Accessed February 28, 2020. [Google Scholar]
  • 16.Rutter M Resilience as a dynamic concept. Dev Psychopathol. 2012;24(2):335–344. [DOI] [PubMed] [Google Scholar]
  • 17.Ungar M Resilience across Cultures. The British Journal of Social Work. 2008;38(2):218–235. [Google Scholar]
  • 18.Earnshaw VA, Bogart LM, Dovidio JF, Williams DR. Stigma and racial/ethnic HIV disparities: moving toward resilience. Am Psychol. 2013;68(4):225–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cohen S, Wills TA. Stress, social support, and the buffering hypothesis. Psychol Bull. 1985;98(2):310–357. [PubMed] [Google Scholar]
  • 20.Uchino BN, Cacioppo JT, Kiecolt-Glaser JK. The relationship between social support and physiological processes: a review with emphasis on underlying mechanisms and implications for health. Psychol Bull. 1996;119(3):488–531. [DOI] [PubMed] [Google Scholar]
  • 21.Chesney MA, Chambers DB, Taylor JM, Johnson LM, Folkman S. Coping effectiveness training for men living with HIV: results from a randomized clinical trial testing a group-based intervention. Psychosom Med. 2003;65(6):1038–1046. [DOI] [PubMed] [Google Scholar]
  • 22.Moyers TMT, Manuel J, Miller WR. The Motivational Interviewing Treatment Integrity (MITI) Code, Version 2.0 In: University of New Mexico CoA, Substance Abuse and Addictions (CASAA), ed. New Mexico. [Google Scholar]
  • 23.Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res. 2017;17(1):88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Cully JA, Mignogna J, Stanley MA, et al. Development and pilot testing of a standardized training program for a patient-mentoring intervention to increase adherence to outpatient HIV care. AIDS Patient Care STDS. 2012;26(3):165–172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Davey-Rothwell MA, Tobin K, Yang C, Sun CJ, Latkin CA. Results of a randomized controlled trial of a peer mentor HIV/STI prevention intervention for women over an 18 month follow-up. AIDS Behav. 2011;15(8):1654–1663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Safren SA, O’Cleirigh C, Skeer MR, et al. Demonstration and evaluation of a peer-delivered, individually-tailored, HIV prevention intervention for HIV-infected MSM in their primary care setting. AIDS Behav. 2011;15(5):949–958. [DOI] [PubMed] [Google Scholar]
  • 27.Selke HM, Kimaiyo S, Sidle JE, et al. Task-shifting of antiretroviral delivery from health care workers to persons living with HIV/AIDS: clinical outcomes of a community-based program in Kenya. J Acquir Immune Defic Syndr. 2010;55(4):483–490. [DOI] [PubMed] [Google Scholar]
  • 28.Hatcher AM, Turan JM, Leslie HH, et al. Predictors of linkage to care following community-based HIV counseling and testing in rural Kenya. AIDS Behav. 2012;16(5):1295–1307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Katz I, Bogart LM, Courtney I, et al. South Africans Living with HIV who Delay or Discontinue Treatment: A Qualitative Study to Understand the Mechanisms of Action of the The Treatment Ambassador Program (TAP). Paper presented at: International Conference on HIV Treatment and Prevention Adherence; June 8–10, 2018; Miami Beach, FL. [Google Scholar]
  • 30.Katz IT, Bogart LM, Courtney I, et al. The Treatment Ambassador Program: A Pilot Randomized Controlled Trial for People Living with HIV in South Africa Who Delay or Discontinue Treatment. Paper presented at: International Conference on HIV Treatment and Prevention Adherence; June 8–10, 2018; Miami Beach, FL. [Google Scholar]
  • 31.Katz IT, Ehrenkranz P, El-Sadr W. The Global HIV Epidemic: What Will It Take to Get to the Finish Line? JAMA. 2018;319(11):1094–1095. [DOI] [PubMed] [Google Scholar]
  • 32.Hontelez JA, Newell ML, Bland RM, Munnelly K, Lessells RJ, Barnighausen T. Human resources needs for universal access to antiretroviral therapy in South Africa: a time and motion study. Hum Resour Health. 2012;10:39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Van Damme W, Kober K, Kegels G. Scaling-up antiretroviral treatment in Southern African countries with human resource shortage: how will health systems adapt? Soc Sci Med. 2008;66(10):2108–2121. [DOI] [PubMed] [Google Scholar]
  • 34.Creswell JW, Plano Clark VL, Gutmann ML, Hanson WE. Advanced mixed methods research designs. 2003.
  • 35.Earnshaw VA, Bogart LM, Courtney I, et al. Exploring Treatment Needs and Expectations for People Living with HIV in South Africa: A Qualitative Study. AIDS Behav. 2018;22(8):2543–2552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Earnshaw VA, Bogart LM, Laurenceau JP, et al. Internalized HIV stigma, ART initiation and HIV-1 RNA suppression in South Africa: exploring avoidant coping as a longitudinal mediator. J Int AIDS Soc. 2018;21(10):e25198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Flay B, Snyder F, Petraitis J The theory of triadic influence. In: DiClemente RJ, Crosby RA, Kegler MC, editors. Emerging theories in health promotion practice and research. 2 ed. San Francisco, CA: Jossey-Bass; 2009. [Google Scholar]
  • 38.Bogart LM, Mutchler MG, McDavitt B, et al. A Randomized Controlled Trial of Rise, a Community-Based Culturally Congruent Adherence Intervention for Black Americans Living with HIV. Ann Behav Med. 2017;51(6):868–878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wagner GJ, Bogart LM, Mutchler MG, McDavitt B, Mutepfa KD, Risley B. Increasing Antiretroviral Adherence for HIV-Positive African Americans (Project Rise): A Treatment Education Intervention Protocol. JMIR Res Protoc. 2016;5(1):e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Goggin K, Gerkovich MM, Williams KB, et al. A randomized controlled trial examining the efficacy of motivational counseling with observed therapy for antiretroviral therapy adherence. AIDS and behavior. 2013;17(6):1992–2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Miller WR, Rollnick S. Motivational Interviewing: Preparing People to Change Addictive Behavior. Guilford Publications; 1991. [Google Scholar]
  • 42.Cornman DH, Christie S, Shepherd LM, et al. Counsellor-delivered HIV risk reduction intervention addresses safer sex barriers of people living with HIV in KwaZulu-Natal, South Africa. Psychol Health. 2011;26(12):1623–1641. [DOI] [PubMed] [Google Scholar]
  • 43.Bogart LM, Skinner D, Thurston IB, et al. Let’s Talk!, A South African worksite-based HIV prevention parenting program. The Journal of adolescent health : official publication of the Society for Adolescent Medicine. 2013;53(5):602–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Grimsrud A, Lesosky M, Kalombo C, Bekker L-G, Myer L. Implementation and Operational Research: Community-Based Adherence Clubs for the Management of Stable Antiretroviral Therapy Patients in Cape Town, South Africa A Cohort Study. J Acquir Immune Defic Syndr. 2016;71(1):e16–e23. [DOI] [PubMed] [Google Scholar]
  • 45.Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Western Cape Government. The Western Cape Consolidated Guidelines for HIV Treatment: Prevention of Mother- to- Child Transmission of HIV (PMTCT), Children, Adolescents and Adults. In: Provincial Government of the Western Cape-Department of Health, ed. Cape Town, South Africa: Western Cape Government Health; 2018. [Google Scholar]
  • 47.Bor J, MacLeod W, Oleinik K, et al. Building a National HIV Cohort from Routine Laboratory Data: Probabilistic Record-Linkage with Graphs. bioRxiv. 2018:450304. [Google Scholar]
  • 48.Carmona S, Bor J, Nattey C, et al. Persistent High Burden of Advanced HIV Disease Among Patients Seeking Care in South Africa’s National HIV Program: Data From a Nationwide Laboratory Cohort. Clinical Infectious Diseases. 2018;66(suppl_2):S111–S117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.National Health Laboratory Service (NHLS). National Health Laboratory Service 2017/18 Annual Report. Johannesburg, South Africa: NHLS;2018. [Google Scholar]
  • 50.Bassett IV, Wang B, Chetty S, et al. Loss to Care and Death Before Antiretroviral Therapy in Durban, South Africa. Jaids-Journal Of Acquired Immune Deficiency Syndromes. 2009;51(2):135–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Gwadz M, Applegate E, de Guzman R, et al. Why do people living with HIV/AIDS delay, decline, or discontinue antiretroviral therapy?: A mixed-methods exploration. American Public Health Association Conference; 2014; New Orleans, Louisiana,. [Google Scholar]
  • 52.Maskew M, Bor J, Hendrickson C, et al. Imputing HIV treatment start dates from routine laboratory data in South Africa: a validation study. BMC Health Serv Res. 2017;17(1):41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Onagbiye SO, Moss SJ, Cameron M. Validity and reliability of the Setswana translation of the Short Form-8 health-related quality of life health survey in adults. Health SA Gesondheid (Online). 2018;23:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Ware JE, Kosinski M, Dewey JE, Gandek B. How to score and interpret single-item health status measures: a manual for users of the SF-8 health survey. Lincoln, RI: QualityMetric Incorporated. 2001;15(10):5. [Google Scholar]
  • 55.Pengpid S, Peltzer K, Heever HVd. Prevalence of Alcohol Use and Associated Factors in Urban Hospital Outpatients in South Africa. International Journal of Environmental Research and Public Health. 2011;8(7):2629–2639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Louw GJ, Viviers A. An evaluation of a psychosocial stress and coping model in the police work context. SA Journal of Industrial Psychology. 2010;36:1–11. [Google Scholar]
  • 57.Carver CS. You want to measure coping but your protocol’s too long: consider the brief COPE. Int J Behav Med. 1997;4(1):92–100. [DOI] [PubMed] [Google Scholar]
  • 58.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Sherbourne CD, Stewart AL. The MOS social support survey. Social Science & Medicine. 1991;32(6):705–714. [DOI] [PubMed] [Google Scholar]
  • 60.Kalichman SC, Simbayi LC, Cloete A, Mthembu PP, Mkhonta RN, Ginindza T. Measuring AIDS stigmas in people living with HIV/AIDS: the Internalized AIDS-Related Stigma Scale. AIDS Care. 2009;21(1):87–93. [DOI] [PubMed] [Google Scholar]
  • 61.Earnshaw VA, Smith LR, Chaudoir SR, Amico KR, Copenhaver MM. HIV stigma mechanisms and well-being among PLWH: a test of the HIV stigma framework. AIDS Behav. 2013;17(5):1785–1795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Berger BE, Ferrans CE, Lashley FR. Measuring stigma in people with HIV: psychometric assessment of the HIV stigma scale. Res Nurs Health. 2001;24(6):518–529. [DOI] [PubMed] [Google Scholar]
  • 63.Craw JA, Gardner LI, Marks G, et al. Brief strengths-based case management promotes entry into HIV medical care: results of the antiretroviral treatment access study-II. J Acquir Immune Defic Syndr. 2008;47(5):597–606. [DOI] [PubMed] [Google Scholar]
  • 64.Sileo KM, Bogart LM, Wagner GJ, et al. HIV fatalism and engagement in transactional sex among Ugandan fisherfolk living with HIV. SAHARA-J: Journal of Social Aspects of HIV/AIDS. 2019;16(1):1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Wagner GJ, Kanouse DE, Koegel P, Sullivan G. Correlates of HIV antiretroviral adherence in persons with serious mental illness. AIDS care. 2004;16(4):501–506. [DOI] [PubMed] [Google Scholar]
  • 66.Northouse LL, Katapodi MC, Song L, Zhang L, Mood DW. Interventions with family caregivers of cancer patients: meta-analysis of randomized trials. CA Cancer J Clin. 2010;60(5):317–339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Catley D, Harris KJ, Goggin K, et al. Motivational Interviewing for encouraging quit attempts among unmotivated smokers: study protocol of a randomized, controlled, efficacy trial. BMC Public Health. 2012;12(1):456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Catley D, Goggin K, Harris KJ, et al. A Randomized Trial of Motivational Interviewing: Cessation Induction Among Smokers With Low Desire to Quit. American journal of preventive medicine. 2016;50(5):573–583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Corbin J, Strauss A. Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory. In: Thousand Oaks, California: 2008: https://methods.sagepub.com/book/basics-of-qualitative-research. Accessed 2020/08/07. [Google Scholar]
  • 70.Mills EJ, Lester R, Thorlund K, et al. Interventions to promote adherence to antiretroviral therapy in Africa: a network meta-analysis. The Lancet HIV. 2014;1(3):e104–e111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Govindasamy D, Meghij J, Kebede Negussi E, Clare Baggaley R, Ford N, Kranzer K. Interventions to improve or facilitate linkage to or retention in pre-ART (HIV) care and initiation of ART in low- and middle-income settings--a systematic review. J Int AIDS Soc. 2014;17:19032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Wouters E, Van Damme W, van Rensburg D, Masquillier C, Meulemans H. Impact of community-based support services on antiretroviral treatment programme delivery and outcomes in resource-limited countries: a synthetic review. BMC Health Serv Res. 2012;12:194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Wools-Kaloustian KK, Sidle JE, Selke HM, et al. A model for extending antiretroviral care beyond the rural health centre. J Int AIDS Soc. 2009;12:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Decroo T, Van Damme W, Kegels G, Remartinez D, Rasschaert F. Are Expert Patients an Untapped Resource for ART Provision in Sub-Saharan Africa? AIDS Res Treat. 2012;2012:749718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Duvivier H, Decroo T, Nelson A, et al. Knowledge transmission, peer support, behaviour change and satisfaction in post Natal clubs in Khayelitsha, South Africa: a qualitative study. Reprod Health. 2020;17(1):107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Farrisi D, Dietz N. Patient navigation is a client-centered approach that helps to engage people in HIV care. HIV Clin. 2013;25(1):1–3. [PubMed] [Google Scholar]
  • 77.Bassett IV, Coleman SM, Giddy J, et al. Sizanani: A Randomized Trial of Health System Navigators to Improve Linkage to HIV and TB Care in South Africa. J Acquir Immune Defic Syndr. 2016;73(2):154–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Bradford JB, Coleman S, Cunningham W. HIV System Navigation: an emerging model to improve HIV care access. AIDS Patient Care STDS. 2007;21 Suppl 1:S49–58. [DOI] [PubMed] [Google Scholar]
  • 79.Bassett IV, Giddy J, Chaisson CE, et al. A randomized trial to optimize HIV/TB care in South Africa: design of the Sizanani trial. BMC Infectious Diseases. 2013;13(1):390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Saleebey D The strengths perspective in social work practice. 5 ed. Boston: Allyn & Bacon; 2009. [PubMed] [Google Scholar]
  • 81.Kaunda-Khangamwa BN, Kapwata P, Malisita K, et al. Adolescents living with HIV, complex needs and resilience in Blantyre, Malawi. AIDS Research and Therapy. 2020;17(1):35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Ford N, Geng E, Ellman T, et al. Emerging priorities for HIV service delivery. PLOS Medicine. 2020;17(2):e1003028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Katz IT. Bending the Arc on the HIV Epidemic: Socio-Behavioral Interventions for People Living with HIV in South Africa. Paper presented at: Infectious Diseases Grand Rounds, Boston Medical Center 2018; Boston. [Google Scholar]
  • 84.McNairy ML, Lamb MR, Abrams EJ, et al. Use of a Comprehensive HIV Care Cascade for Evaluating HIV Program Performance: Findings From 4 Sub-Saharan African Countries. Journal of acquired immune deficiency syndromes (1999). 2015;70(2):e44–e51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Hoffmann CJ, Mabuto T, Ginindza S, et al. Strategies to Accelerate HIV Care and Antiretroviral Therapy Initiation After HIV Diagnosis: A Randomized Trial. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2017;75(5):540–547. [DOI] [PubMed] [Google Scholar]
  • 86.Simoni JM, Nelson KM, Franks JC, Yard SS, Lehavot K. Are peer interventions for HIV efficacious? A systematic review. AIDS Behav. 2011;15(8):1589–1595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.The Lancet HIV. The syndemic threat of food insecurity and HIV. The Lancet HIV. 2020;7(2):e75. [DOI] [PubMed] [Google Scholar]
  • 88.Carver CS. You want to measure coping but your protocol’s too long: consider the brief COPE. (1070–5503 (Print)). [DOI] [PubMed]

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