INTRODUCTION
For antiretroviral therapy (ART) to achieve its maximum benefits at the population level, people living with HIV must be diagnosed early, must initiate treatment, must adhere to their medications, and ultimately must achieve and sustain an undetectable viral load.1–5 There is considerable attrition at each step, resulting in a cascade of care described by many researchers.6–11
Although the UNAIDS 90-90-90 goals [that 90% of all people living with HIV (PLHIV) know their status, 90% of all diagnosed PLHIV receive ART, and 90% of all persons receiving ART achieve viral suppression] are ambitious with the potential12 to reduce new infections greatly by 2020,13 few countries are well poised to attain these targets.11,14 For country-level efforts to make considerable impact on HIV-related outcomes, it is critical to identify and address the factors or determinants that influence desired behaviors at each stage of the continuum. Furthermore, as test and treat (a model promoting targeted testing and initiation of all PLHIV on ART irrespective of the CD4 level) rolls out, the ability to positively influence behavior to test early and engage in care when one still feels well will become even more pressing. The social–ecological model which recognizes multiple levels of influence on behavior provides a useful framework for understanding the factors affecting behaviors across the continuum.15
This article builds on prior research in the literature16–19 and expounds the critical role of strategic health communication to influence behaviors throughout the continuum. We define social and behavioral change communication or health communication as the art and science of promoting and protecting public health. Health communication is a process with multiple functions, including informing people about health-protective behaviors, persuading or motivating people to adopt health-protective behaviors, building social connections, and fostering an enabling environment.18 Health communication can influence behaviors along the HIV continuum irrespective of where the behavior occurs along the social–ecological model.15 For example, strategically designed communication can strengthen self-efficacy and motivate individuals to get tested and obtain their results 20,21; can empower HIV counselors to better engage with their clients and address their ART-related concerns to successfully link them to HIV care22,23; and can encourage adherence and retention24 to achieve viral suppression. Communication can also help to strengthen social support for PLHIV and address stigma, a key barrier to ART initiation and adherence.25,26
In this article, we review selected literature on the antecedents of behaviors along the continuum, and health communication interventions to address such antecedents. Articles were included that met 7 criteria: (1) geographic focus on low and middle income countries, (2) focus on one or more elements of the HIV continuum of care, (3) focus on behavioral rather than biomedical aspects of care, (4) focus on determinants and/or interventions, (5) based on theoretical or empirical data, (6) be peer reviewed, and (7) be published between 2005 and 2016.
CONCEPTUAL FRAMEWORK FOR THE ROLE OF HEALTH COMMUNICATION IN HIV TREATMENT CONTINUUM
This article introduces a conceptual framework (Fig. 1), informed by a social–ecological perspective,15,27 to guide the development of effective health communication interventions that have been shown to impact behaviors across the HIV treatment continuum. Consistent with the World Health Organization's (WHO) guidelines on HIV treatment and the current focus on test and treat,28 the framework includes linkage to care, retention in pre-ART and ART initiation in 1 single-stage linkage to care, and treatment. Our hope is that the framework helps to increase the success of test and treat efforts and positively impacts treatment outcomes. The top row in the model presents the desired behaviors at each of these 3 key stages of the continuum. The determinants of behavior operate at multiple levels. From top to bottom, these levels include national policy, community, services, interpersonal, and intrapersonal levels. At each level and for each behavior, determinants include both facilitators and barriers with communication interventions designed to focus on specific determinants presented in the model. The last row of the model presents health communication interventions found in the articles reviewed, as well as the suggested approaches that address the identified determinants (see Supplemental Digital Content 1, https://links.lww.com/QAI/A942 for more information on the included interventions).
FIGURE 1.: Framework for the role of health communication in HIV treatment continuum.
A more detailed description of the framework for each of the behaviors across the continuum is provided below. We do not specifically describe the policy level determinants as these are similar across the continuum and include national policies related to testing, timing of ART initiation, cost of ART, task shifting, treatment regimens, and response monitoring for various population groups. Driving these policies is the WHO guidance on HIV prevention and ART28 with countries differing in the pace at which they adopt the most recent WHO guidance.29,30
HIV TESTING AND COUNSELING
Determinants
To meet the 90-90-90 targets, the first step in the continuum of ensuring that 90% of PLHIV know their HIV status is especially critical. Not only is HIV testing and counseling (HTC) the gateway to the clinical cascade, it is currently also a significant gap in uptake of services by some key groups including men. As countries move to test and treat policies, reframing HTC as an opportunity for early diagnosis and treatment to prevent illness and transmission is needed to encourage those most at risk to get tested when they do not feel sick. Although knowing one's status can lead to multiple health benefits, it can also be an extremely difficult process that many find frightening and undesirable.31 Promoting HTC as a positive behavior where the benefits of knowing one's status outweighs the potential negative consequences requires an understanding of the determinants influencing the behavior.
At the intrapersonal level, studies have emphasized the importance of psychosocial (ideational) determinants, including cognitive (knowledge, beliefs, and attitudes), emotional, and social interaction determinants. Both perceived/anticipated stigma and personal stigmatizing attitudes toward PLHIV negatively affects testing.32–40 Fear of a positive HIV result and its consequences is another barrier.38,41–43 Limited HIV-related knowledge, the misconception that testing is only for people with symptoms and low risk perception remain important challenges to HTC.31,34,37,44–49 By contrast, knowing about antiretroviral (ARV) treatment tends to allay fears about HIV and increase testing.32,45,46,50 Inequitable gender attitudes and personal tolerance of gender-based violence are also important deterrents.35
At the interpersonal level, partner communication can support or inhibit testing. Testing is higher when one's spouse has tested or when one has the intention to disclose to a spouse or sex partner.42,51 Having family or friends living with HIV and discussing HIV with people in one's network are positively associated with testing.34,45,46,50,52 Mistrust in marriage inhibits HTC as some men may not want to engage in couples' testing, given their extramarital affairs coupled with the fear of being blamed for a positive result.49,53 The lack of support from friends and family also inhibits HTC.32,33,46
The health service-level determinants include lack of confidentiality from providers and provider behaviors that sometimes leave clients feeling uncomfortable and embarrassed.38,49 Provider lack of connectedness to patients and provision of inadequate information are other barriers.31
At the community level, stigma and discrimination, and lack of social cohesion lead to lower levels of HTC.36,54–56 Similarly, gender inequality results in compromised decision-making autonomy for women and undermines testing.32,35
Documented Interventions Promoting HTC
Health communication interventions that have successfully addressed the determinants outlined above include those implemented at the intrapersonal level: the use of mass media to promote HTC57; and the interpersonal level: peer support and counseling for male partners of pregnant women;58,59 and couple-oriented counseling.60,61 Successful approaches at the community level include utilization of existing socially accepted community-based infrastructure (eg, churches)62 and the use of lay counselors21,63–65 to build trust and acceptability, mitigate stigma, and serve as an acceptable entry point into the HIV continuum. Other community-level interventions, including availability of counseling resources in the community and the provision of community-based testing services with or without peer or lay counselors (including door-to-door, self-testing, mobile-testing, workplace-based, school-based, church-based, etc.)66–68 increase testing.
LINKAGE TO CARE AND TREATMENT
Determinants
Linkage to care and treatment, including pre-ART care and treatment initiation, will ideally immediately follow an HIV-positive diagnosis. Often, however, clients choose to delay seeking care or initiating treatment after diagnosis, resulting in high mortality rates in resource-limited settings.69–72
At the intrapersonal level, ideational barriers to enrolling in care include limited HIV or ART-related knowledge;73–75 internalized stigma;73 fear in many forms, including fear of a partner's reaction,73 fear of potential side effects,75 fear of losing employment or social status by attending appointments;75,76 and the negative attitudes and beliefs about ARVs.72,77–79 Furthermore, feeling healthy or being asymptomatic72,80–86 and belief in divine healing81 decrease linkage to care and treatment. By contrast, treatment readiness, resulting from understanding the benefits of ART, and perceived availability of social support during treatment fosters the decision to engage in care and treatment.73,74
Psychosocial support is a strong interpersonal level determinant of whether a person will link to care or initiate treatment.16,73,75,76,87–90 Before support can be received though, disclosure must occur and disclosure has been found to be a major barrier to ART initiation.77,82,85,91,92 Disclosure to friends and family enables patients to access the psychosocial and material support crucial for initiating and staying on treatment.78,85,88,91,92
At the health service level, often clients are unwilling to link to care and treatment if they experience negative interactions with clinic staff or inadequate patient–provider communication, receive poor counseling when testing, are made to feel as though they are a child, or fear that the staff will disclose their status.74,75,77,81,88,93 Other studies have found negative provider attitudes and lack of confidentiality to be barriers to initiation.77,78,88,91
Barriers at the community level include stigma and discrimination,16,74–76,81,89,94–97 limited ART knowledge within the community, lack of community involvement in program planning, and lack of community mobilization around ART.74,78,94,96 Inequitable gender norms, including community stereotypes of masculinity and femininity are key determinants of delayed linkage to care and treatment.94 By contrast, the presence of retention support groups90,98 and involvement of community-based organizations99 help to facilitate linkage.
Documented Interventions Promoting Linkage to Care and Treatment
Successful interventions using various counseling and psychosocial support strategies, including peer support, information, and education; identifying and addressing clients' barriers to service use; and providing help with appointment coordination100 have been documented. Training counselors on post-test counseling (including emphasizing disclosure and the importance of pre-ART care),23 provision of social and psychological support,101 mobile health reminders,70 patient-selected care buddies,102 and peer navigators73 increase linkage to care and treatment. Successful interventions at the health services level highlight the importance of coordination between facility-based and community-based activities by health personnel,99,103 retention-promoting activities by health facilities,103,104 and the provision of outreach services.90,103
At the community level, support groups and strong networks, where home-based care organizations, community volunteers, and HIV education programs are in place, reduce stigma and discrimination, improve linkage and retention in pre-ART care and increase early ART initiation.16,25,81,87,89,97,105–110 Interventions engaging traditional practitioners and faith healers yielded mixed results. Although 1 study111 demonstrated that training traditional healers led to increased referral rates in Mozambique, others112–114 did not find such an effect.
ADHERENCE
Determinants
Adherence to ART is critical for achieving viral suppression, improved immune function, reduced risks of HIV-related morbidity and mortality, and reduced HIV transmission.1,115 The determinants of ARV adherence have been well documented and span across the social–ecological model.
At the intrapersonal level, treatment regimen characteristics, including the type of medication, drug toxicity, and pill burden have been found to be associated with adherence.115–119 Asymptomatic patients may be less likely to adhere to ART if they have even minor side effects. Forgetfulness was also frequently provided for missing doses.115,119–123 Studies have also emphasized the importance of ideational determinants. People are more likely to adhere to ART if they are knowledgeable about HIV and ART,124–126 have positive attitudes toward ART,127 perceive few constraints to ART use,128 perceive the benefits of ART,119,129,130 and have come to terms with their illness.131 Perceived or anticipated HIV-related stigma132–134 and belief in divine healing and the power of prayers are associated with poor adherence.127,134–136 Similar to HTC, fear may inhibit treatment adherence. In particular, fear of being recognized or of accidental disclosure, and fear of gender-based violence prevent some from visiting health facilities or taking their medications.96,123,137–143 Similarly, internalized stigma and negative self-image negatively impact adherence.126,132,133,140,144 On the other hand, perceived self-efficacy for adherence and for coping with the challenges of ART, self-esteem, and perceived support from family and friends foster adherence.129,133,145–147
At the interpersonal level, assurance of psychosocial support, disclosure, and having a spouse or friend who is HIV positive were key predictors of adherence.104,117,122,133,145,148–153 In general, patients who share their status with a significant other are more likely to adhere to treatment.125,127,154–156 By contrast, experience of intimate partner violence may deter adherence.151
At the health services level, determinants include patient–provider communication, patient–provider relationship, quality of ART adherence counseling, consultation time, and provider confidentiality issues. Quality patient–provider communication skills enhance ARV adherence.125,157–160 Of importance is a provider's ability to communicate complex terminologies linked to the disease (including CD4 and viral load) and challenges connected with communicating treatment instructions to patients.158,161,162 The lack of or poor adherence counseling hinders adherence; conversely, comprehensive adherence counseling fosters adherence.152,163,164 Time spent in consultation with patients is consistently associated with ARV adherence,131,154,165,166 whereas positive patient–provider relationship (including issues related to trust and provider negative attitudes toward patients) is often122,124,131 but not always149 linked to adherence. A few studies have emphasized lack of confidentiality as a hindrance to adherence.154,166
Stigma and discrimination are the most commonly reported community-level negative predictors of ART adherence,127,132,138,142,144,156,167,168 although at least 1 study demonstrated that stigma could facilitate adherence (as it helps motivate patients to take their medications regularly to avoid the physical signs and symptoms).131 Social capital and community engagement in the care and support of PLHIV may also foster adherence.154,169
Interventions to Promote Adherence
Most interventions using elements of health communication to promote adherence targeted determinants operating at the intrapersonal level. For example, mHealth programs using short message service or interactive voice responses implemented as a stand-alone intervention or as part of a more comprehensive strategy are common and have targeted forgetfulness, reminding patients to take their medications, and provided remote psychosocial support. Interventions have often24,170–174 but not always175,176 been effective. It appears that effectiveness depends on the duration, frequency of the messages (less may be better), the extent to which the intervention provides psychosocial support and facilitates 2-way communication between patients and providers.170–172,175
At the interpersonal level, treatment supporters, or companion or buddy strategies have often been used to promote adherence.177–181 These strategies strengthen social connection by facilitating disclosure and providing one-on-one adherence and psychosocial support. Results have been mixed.177–181 Furthermore, in some cases, the initial benefits were not sustained over time,178 whereas in others, benefits were only seen after about 2 years on ART.182 At the health services level, repeated adherence counseling has shown promising results for adherence and viral suppression.174,183
Effective interventions at the community level include peer adherence support groups or adherence clubs,184–187 although 1 study did not demonstrate a positive result and attributed inadequate facilitation skills of the lay health workers.188 Other interventions addressing stigma and discrimination were implemented at single or multiple levels of the social–ecological model and targeting one or more dimensions of stigma,189–194 although relatively few were rigorously evaluated for their effects on HIV treatment outcomes.189–191,195,196
DISCUSSION
The conceptual framework and evidence presented highlight areas across the continuum where health communication can impact treatment outcomes to reach the 90-90-90 goals by strategically addressing key behavioral determinants. The evidence from extant literature shows that interventions that include health communication components have been successful in addressing the determinants of the behaviors along the HIV treatment continuum. Most interventions reviewed relied on interpersonal communication through peers, community support groups, and home visits. This mode of communication through social networks is of utmost importance, as it relies on relationships and social bonds to help HIV-positive individuals navigate hurdles across the continuum. Counseling through community volunteers and lay counselors is also an effective approach, specifically when counselors received training on interpersonal communication skills for post-test counseling and psychological support for disclosure and treatment uptake. Furthermore, mHealth interventions promoting linkage to treatment or adherence have yielded promising results.
Limited evidence in the literature reviewed was found on the use of multimedia health communication campaigns that combine 2 or more approaches and delivery channels, including, interpersonal communication, mass media, educational entertainment, folk media, mobile devices, social media, and advocacy to promote behaviors along the continuum. The synergistic effects of combining various media have been well documented in other health areas.20,197–201
As test and treat rolls out, multifaceted health communication approaches will be critical in successfully addressing the determinants of testing, early initiation of ART, and adherence. For example, provider counseling skills and their ability to communicate complex information related to treatment can be enhanced through skills building interventions on interpersonal communication that rely on the use of analogy, visualization, and practice with feedback. Partner communication and social support can be enhanced through role modeling via community radio, mass media, or small group interventions. Quality, accessibility, and availability of services, which are shown in the framework as key determinants for adherence, can be enhanced by strategic communication approaches focused on in-service communication and counseling.202 Gender-based violence, disclosure, and positive partner communication are addressed through facilitated community discussion and the dissemination of positive deviant role models, changing attitudes, individual self-efficacy, and positive prevention behaviors.203 ART literacy, to better understand the negative association between CD4 (high is good) and viral load (high is bad) and appreciate the need for repeated viral load testing could be successfully addressed by combining interpersonal approaches at the facility and community levels with mass media, providing the added benefit of disseminating consistent information to multiple audiences at a large scale and in a cost-effective manner.204 A multifaceted approach can also be used to address HIV-related stigma through messages that are educational, persuasive, and destigmatizing. For the policy level, communication interventions focused on advocacy support updating, implementation, and dissemination of such policies.
The complexity of the behaviors and determinants required to fulfill the 90-90-90 goals requires a combination of communication approaches for synergistic effects. Strategic, multiphase, multifacet communication interventions are needed to inform individuals about services, remove misconceptions about testing and treatment, further reduce stigma, improve couple's communication and support, and help communities create supportive environments where PLHIV can successfully manage HIV and enjoy a quality life.
ACKNOWLEDGMENTS
The preparation of this article was facilitated by the US Agency for International Development Cooperative Agreement #AID-OAA-A-12-00058 to the Johns Hopkins Center for Communication Programs. The team also acknowledges Kirsten Bose and Natalie Tibbels for their contributions in reviewing the literature for this article.
REFERENCES
1. Cohen MS, Chen YQ, McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365:493–505.
2. Maartens G, Celum C, Lewin SR. HIV infection: epidemiology, pathogenesis, treatment, and prevention. Lancet. 2014;384:258–271.
3. Jones A, Cremin I, Abdullah F, et al. Transformation of HIV from pandemic to low-endemic levels: a public health approach to combination prevention. Lancet. 2014;384:272–279.
4. Grimes RM, Hallmark CJ, Watkins KL, et al. Re-engagement in HIV care: a clinical and public health priority. J AIDS Clin Res. 2016;7. doi:
10.4172/2155-6113.1000543.
5. Granich RM, Gilks CF, Dye C, et al. Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model. Lancet. 2009;373:48–57.
6. Gardner EM, McLees MP, Steiner JF, et al. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011;52:793–800.
7. Burns DN, Dieffenbach CW, Vermund SH. Rethinking prevention of HIV type 1 infection. Clin Infect Dis. 2010;51:725–731.
8. Maman D, Zeh C, Mukui I, et al. Cascade of HIV care and population viral suppression in a high-burden region of Kenya. AIDS. 2015;29:1557.
9. Kilmarx PH, Mutasa-Apollo T. Patching a leaky pipe: the cascade of HIV care. Curr Opin HIV AIDS. 2013;8:59–64.
10. MacCarthy S, Hoffmann M, Ferguson L, et al. The HIV care cascade: models, measures and moving forward. J Int AIDS Soc. 2015;18. doi:
10.7448/IAS.18.1.19395.
11. Hill A, Pozniak A. HIV treatment cascades: how can all countries reach the UNAIDS 90–90–90 target? AIDS. 2015;29:2523–2525.
12. UNAIDS. 90-90-90: An Ambitious Treatment Target to Help End the AIDS Epidemic. Geneva, Switzerland: UNAIDS; 2014. JC2684.
13. Piot P, Abdool Karim SS, Hecht R, et al. Defeating AIDS—advancing global health. Lancet HIV. 2015;386:171–218.
14. Beyrer C, Birx DL, Bekker L-G, et al. The vancouver consensus: antiretroviral medicines, medical evidence, and political will. Lancet. 2015;386:505–507.
15. McLeroy KR, Bibeau D, Steckler A, et al. An ecological perspective on health promotion programs. Health Educ Q. 1988;15:351–377.
16. Tomori C, Risher K, Limaye RJ, et al. A role for health communication in the continuum of HIV care, treatment, and prevention. J Acquir Immune Defic Syndr. 2014;66:S306–S310.
17. Vermund SH, Van Lith LM, Holtgrave D. Strategic roles for health communication in combination HIV prevention and care programs. J Acquir Immune Defic Syndr. 2014;66:S237–S240.
18. Storey D, Seifert-Ahanda K, Andaluz A, et al. What is health communication and how does it affect the HIV/AIDS continuum of care? A brief primer and case study from New York city. J Acquir Immune Defic Syndr. 2014;66:S241–S249.
19. Limaye RJ, Bingenheimer J, Rimal RN, et al. Treatment-as-prevention in AIDS control: why communication still matters. J Ther Management HIV Infect. 2013;1:3–6.
20. Vidanapathirana J, Abramson MJ, Forbes A, et al. Mass media interventions for promoting HIV testing. Cochrane Database Syst Rev. 2005. doi:
10.1002/14651858.CD004775.pub2.
21. Ledikwe JH, Kejelepula M, Maupo K, et al. Evaluation of a well-established task-shifting initiative: the lay counselor cadre in Botswana. PLoS One. 2013;8:e61601.
22. Wanyenze RK, Kyaddondo D, Kinsman J, et al. Client-provider interactions in provider-initiated and voluntary HIV counseling and testing services in Uganda. BMC Health Serv Res. 2013;13:423.
23. Muhamadi L, Tumwesigye NM, Kadobera D, et al. A single-blind randomized controlled trial to evaluate the effect of extended counseling on uptake of pre-antiretroviral care in Eastern Uganda. Trials. 2011;12:184.
24. Rodrigues R, Shet A, Antony J, et al. Supporting adherence to antiretroviral therapy with mobile phone reminders: results from a cohort in South India. PLoS One. 2012;7:e40723.
25. Bateganya MH, Amanyeiwe U, Roxo U, et al. Impact of support groups for people living with HIV on clinical outcomes: a systematic review of the literature. J Acquir Immune Defic Syndr. 2015;68(suppl 3):S368–S374.
26. Fakolade R, Adebayo S, Anyanti J, et al. The impact of exposure to mass media campaigns and social support on levels and trends of HIV-related stigma and discrimination in Nigeria: tools for enhancing effective HIV prevention programmes. J Biosoc Sci. 2010;42:395–407.
27. Storey D. Toward a Global Theory of Health Behavior and Social Change. In: Obregon R, Waisbord S, eds. The Handbook of Global Health Communication, Malden MA: Wiley-Blackwell; 2012:70–94.
28. World Health Organization. Guideline on When to Start Antiretroviral Therapy and on Pre-exposure Prophylaxis for HIV. Geneva, Switzerland: World Health Organization; 2015.
29. Nelson LJ, Beusenberg M, Habiyambere V, et al. Adoption of national recommendations related to use of antiretroviral therapy before and shortly following the launch of the 2013 WHO consolidated guidelines. AIDS. 2014;28(suppl 2):S217–S224.
30. Gupta S, Granich R, Suthar AB, et al. Global policy review of antiretroviral therapy eligibility criteria for treatment and prevention of HIV and tuberculosis in adults, pregnant women, and serodiscordant couples. J Acquir Immune Defic Syndr. 2013;62:e87–e97.
31. Liu Y, Sun X, Qian HZ, et al. Qualitative assessment of barriers and facilitators of access to HIV testing among men who have sex with men in China. AIDS Patient Care STDS. 2015;29:481–489.
32. Musheke M, Ntalasha H, Gari S, et al. A systematic review of qualitative findings on factors enabling and deterring uptake of HIV testing in Sub-Saharan Africa. BMC Public Health. 2013;13:1.
33. Admassu M, Fitaw Y. Factors affecting acceptance of VCT among different professional and community groups in North and South Gondar administrative zones, North West Ethiopia. Ethiopian J Health Dev. 2006;20:24–31.
34. Babalola S. Readiness for HIV testing among young people in northern Nigeria: the roles of social norm and perceived stigma. AIDS Behav. 2007;11:759–769.
35. Gari S, Malungo JR, Martin-Hilber A, et al. HIV testing and tolerance to gender based violence: a cross-sectional study in Zambia. PLoS One. 2013;8:e71922.
36. Smolak A, El-Bassel N. Multilevel stigma as a barrier to HIV testing in central Asia: a context quantified. AIDS Behav. 2013;17:2742–2755.
37. Berendes S, Rimal RN. Addressing the slow uptake of HIV testing in Malawi: the role of stigma, self-efficacy, and knowledge in the malawi BRIDGE project. J Assoc Nurses AIDS Care. 2011;22:215–228.
38. Epule ET, Mirielle MW, Peng C, et al. Utilization rates and perceptions of (VCT) services in Kisii central district, Kenya. Glob J Health Sci. 2013;5:35.
39. Kitara DL, Aloyo J. HIV/AIDS stigmatization, the reason for poor access to HIV counseling and testing (HCT) among the youths in Gulu (Uganda). Afr J Infect Dis. 2012;6:12–20.
40. Leta TH, Sandøy IF, Fylkesnes K. Factors affecting voluntary HIV counselling and testing among men in Ethiopia: a cross-sectional survey. BMC Public Health. 2012;12:1.
41. MacPhail CL, Pettifor A, Coates T, et al. “You must do the test to know your status”: attitudes to HIV voluntary counseling and testing for adolescents among South African youth and parents. Health Educ Behav. 2008;35:87–104.
42. Bwambale FM, Ssali SN, Byaruhanga S, et al. Voluntary HIV counselling and testing among men in rural western Uganda: implications for HIV prevention. BMC Public Health. 2008;8:1.
43. Mugo M, Kibachio C, Njuguna J. Utilization of voluntary counselling and testing services by women in a Kenyan village. J Rural Trop Public Health. 2010;9:36–39.
44. Barnabas Njozing N, Edin KE, Hurtig AK. “When I get better I will do the test”: facilitators and barriers to HIV testing in northwest region of cameroon with implications for TB and HIV/AIDS control programmes. SAHARA J. 2010;7:24–32.
45. Lepine A, Terris-Prestholt F, Vickerman P. Determinants of HIV testing among Nigerian couples: a multilevel modelling approach. Health Policy Plan. 2015;30:579–592.
46. Creel AH, Rimal RN. Factors related to HIV-testing behavior and interest in testing in Namibia. AIDS Care. 2011;23:901–907.
47. Tenkorang EY, Maticka-Tyndale E. Individual-and school-level correlates of HIV testing among secondary school students in Kenya. Stud Fam Plann. 2013;44:169–187.
48. Ma W, Detels R, Feng Y, et al. Acceptance of and barriers to voluntary HIV counselling and testing among adults in Guizhou province, China. AIDS. 2007;21(suppl 8):S129.
49. Larsson EC, Thorson A, Nsabagasani X, et al. Mistrust in marriage–reasons why men do not accept couple HIV testing during antenatal care—a qualitative study in eastern Uganda. BMC Public Health. 2010;10:769.
50. Venkatesh KK, Madiba P, De Bruyn G, et al. Who gets tested for HIV in a South African urban township? Implications for test and treat and gender-based prevention interventions. J Acquir Immune Defic Syndr. 2011;56:151–165.
51. Hensen B, Lewis JJ, Schaap A, et al. Frequency of HIV-testing and factors associated with multiple lifetime HIV-testing among a rural population of Zambian men. BMC Public Health. 2015;15:960.
52. Regan S, Losina E, Chetty S, et al. Factors associated with self-reported repeat HIV testing after a negative result in Durban, South Africa. PLoS One. 2013;8:e62362.
53. Matovu JK, Wanyenze RK, Wabwire-Mangen F, et al. “Men are always scared to test with their partners… it is like taking them to the police”: motivations for and barriers to couples' HIV counselling and testing in Rakai, Uganda: a qualitative study. J Int AIDS Soc. 2014;17:19160.
54. Karim QA, Meyer-Weitz A, Mboyi L, et al. The influence of AIDS stigma and discrimination and social cohesion on HIV testing and willingness to disclose HIV in rural KwaZulu-Natal, South Africa. Glob Public Health. 2008;3:351–365.
55. Koku EF. Desire for, and uptake of HIV tests by Ghanaian women: the relevance of community level stigma. J Community Health. 2011;36:289–299.
56. Paulin HN, Blevins M, Koethe JR, et al. HIV testing service awareness and service uptake among female heads of household in rural Mozambique: results from a province-wide survey. BMC Public Health. 2015;15:1.
57. Sano Y, Sedziafa AP, Amoyaw JA, et al. Exploring the linkage between exposure to mass media and HIV testing among married women and men in Ghana. AIDS Care. 2016;28:684–688.
58. Audet CM, Blevins M, Chire YM, et al. Engagement of men in antenatal care services: increased HIV testing and treatment uptake in a community participatory action program in Mozambique. AIDS Behav. 2016;20:2090–2100.
59. Aliyu MH, Blevins M, Audet CM, et al. Integrated prevention of mother-to-child HIV transmission services, antiretroviral therapy initiation, and maternal and infant retention in care in rural north-central Nigeria: a cluster-randomised controlled trial. Lancet HIV. 2016;3:e202–e211.
60. Orne-Gliemann J, Balestre E, Tchendjou P, et al. Increasing HIV testing among male partners. AIDS. 2013;27:1167–1177.
61. Desgrées-du-Loû A, Orne-Gliemann J. Couple-centred testing and counselling for HIV serodiscordant heterosexual couples in sub-Saharan Africa. Reprod Health Matters. 2008;16:151–161.
62. Ezeanolue EE, Obiefune MC, Ezeanolue CO, et al. Effect of a congregation-based intervention on uptake of HIV testing and linkage to care in pregnant women in Nigeria (baby shower): a cluster randomised trial. Lancet Glob Health. 2015;3:e692–e700.
63. Dalal W, Feikin DR, Amolloh M, et al. Home-based HIV testing and counseling in rural and urban Kenyan communities. J Acquir Immune Defic Syndr. 2013;62:e47–e54.
64. Ti L, Hayashi K, Kaplan K, et al. Willingness to access peer-delivered HIV testing and counseling among people who inject drugs in Bangkok, Thailand. J Community Health. 2013;38:427–433.
65. van Rooyen H, Barnabas RV, Baeten JM, et al. High HIV testing uptake and linkage to care in a novel program of home_based HIV counseling and testing with facilitated referral in KwaZulu-Natal, South Africa. J Acquir Immune Defic Syndr. 2013;64:e1.
66. Angotti N, Bula A, Gaydosh L, et al. Increasing the acceptability of HIV counseling and testing with three C's: convenience, confidentiality and credibility. Soc Sci Med. 2009;68:2263–2270.
67. Bateganya M, Abdulwadud OA, Kiene SM. Home-based HIV voluntary counselling and testing (VCT) for improving uptake of HIV testing. Cochrane Database Syst Rev. 2010. doi:
10.1371/journal.pmed.1001496 10.1002/14651858.CD006493.pub4.
68. Suthar AB, Ford N, Bachanas PJ, et al. Towards universal voluntary HIV testing and counselling: a systematic review and meta-analysis of community-based approaches. PLoS Med. 2013;10:e1001496.
69. Fox MP, Larson B, Rosen S. Defining retention and attrition in pre-antiretroviral HIV care: proposals based on experience in Africa. Trop Med Int Health. 2012;17:1235–1244.
70. Siedner MJ, Santorino D, Lankowski AJ, et al. A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study. BMC Med. 2015;13:160.
71. Kranzer K, Govindasamy D, Ford N, et al. Quantifying and addressing losses along the continuum of care for people living with HIV infection in sub-Saharan Africa: a systematic review. J Int AIDS Soc. 2012;15:17383.
72. Fox MP, Mazimba A, Seidenberg P, et al. Barriers to initiation of antiretroviral treatment in rural and urban areas of Zambia: a cross-sectional study of cost, stigma, and perceptions about ART. J Int AIDS Soc. 2010;13:8.
73. 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;16:1295–1307.
74. Posse M, Meheus F, van Asten H, et al. Barriers to access to antiretroviral treatment in developing countries: a review. Trop Med Int Health. 2008;13:904–913.
75. Smith LR, Amico KR, Shuper PA, et al. Information, motivation, and behavioral skills for early pre-ART engagement in HIV care among patients entering clinical care in KwaZulu-Natal, South Africa. AIDS Care. 2013;25:1485–1490.
76. Gelaw YA, Senbete GH, Adane AA, et al. Determinants of late presentation to HIV/AIDS care in Southern Tigray zone, Northern Ethiopia: an institution based case-control study. AIDS Res Ther. 2015;12:40.
77. Chakrapani V, Newman PA, Shunmugam M, et al. Barriers to free antiretroviral treatment access for female sex workers in Chennai, India. AIDS Patient Care STDS. 2009;23:973–980.
78. Muhamadi L, Nsabagasani X, Tumwesigye MN, et al. Inadequate pre-antiretroviral care, stock-out of antiretroviral drugs and stigma: policy challenges/bottlenecks to the new WHO recommendations for earlier initiation of antiretroviral therapy (CD <350 cells/μL) in eastern Uganda. Health Policy. 2010;97:187–194.
79. Mshana GH, Wamoyi J, Busza J, et al. Barriers to accessing antiretroviral therapy in Kisesa, Tanzania: a qualitative study of early rural referrals to the national program. AIDS Patient Care STDS. 2006;20:649–657.
80. Alvarez-Uria G. Factors associated with delayed entry into HIV medical care after HIV diagnosis in a resource-limited setting: data from a cohort study in India. PeerJ. 2013. doi:
10.7717/peerj.90.
81. Layer EH, Kennedy CE, Beckham SW, et al. Multi-level factors affecting entry into and engagement in the HIV continuum of care in Iringa, Tanzania. PLoS One. 2014;9:e104961.
82. Katz IT, Essien T, Marinda ET, et al. Antiretroviral refusal among newly diagnosed HIV-infected adults in Soweto, South Africa. AIDS. 2011;25:2177.
83. Musheke M, Bond V, Merten S. Deterrents to HIV-patient initiation of antiretroviral therapy in urban Lusaka, Zambia: a qualitative study. AIDS Patient Care STDS. 2013;27:231–241.
84. Culbert GJ, Bazazi AR, Waluyo A, et al. The influence of medication attitudes on utilization of antiretroviral therapy (art) in Indonesian prisons. AIDS Behav. 2016;20:1026–1038.
85. Braitstein P, Songok J, Vreeman RC, et al. “Wamepotea” (they have become lost): outcomes of HIV-positive and HIV-exposed children lost to follow-up from a large HIV treatment program in western Kenya. J Acquir Immune Defic Syndr. 2011;57:e40–e46.
86. 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;20:2452–2463.
87. Lubogo D, Ddamulira JB, Tweheyo R, et al. Factors associated with access to HIV care services in eastern Uganda: the Kumi home based HIV counseling and testing program experience. BMC Fam Pract. 2015;16:162.
88. MacPherson P, MacPherson EE, Mwale D, et al. Barriers and facilitators to linkage to ART in primary care: a qualitative study of patients and providers in Blantyre, Malawi. J Int AIDS Soc. 2012;15:18020.
89. Campbell C, Scott K, Nhamo M, et al. Social capital and HIV competent communities: the role of community groups in managing HIV/AIDS in rural Zimbabwe. AIDS Care. 2013;25(suppl 1):S114–S122.
90. Geng EH, Nash D, Kambugu A, et al. Retention in care among HIV-infected patients in resource-limited settings: emerging insights and new directions. Curr HIV AIDS Rep. 2010;7:234–244.
91. Hodgson I, Plummer ML, Konopka SN, et al. A systematic review of individual and contextual factors affecting ART initiation, adherence, and retention for HIV-infected pregnant and postpartum women. PLoS One. 2014;9:e111421.
92. Duff P, Kipp W, Wild TC, et al. Barriers to accessing highly active antiretroviral therapy by HIV-positive women attending an antenatal clinic in a regional hospital in western Uganda. J Int AIDS Soc. 2010;13:37.
93. Nash D, Tymejczyk O, Gadisa T, et al. Factors associated with initiation of antiretroviral therapy in the advanced stages of HIV infection in six Ethiopian HIV clinics, 2012 to 2013. J Int AIDS Soc. 2016;19. doi:
10.7448/IAS.19.1.20637.
94. Underwood C, Hendrickson Z, Van Lith LM, et al. Role of community-level factors across the treatment cascade: a critical review. J Acquir Immune Defic Syndr. 2014;66(suppl 3):S311–S318.
95. da Silva M, Blevins M, Wester CW, et al. Patient loss to follow-up before antiretroviral therapy initiation in rural Mozambique. AIDS Behav. 2015;19:666–678.
96. Kunihira NR, Nuwaha F, Mayanja R, et al. Barriers to use of antiretroviral drugs in Rakai district of Uganda. Afr Health Sci. 2010;10:120–129.
97. Valenzuela C, Ugarte-Gil C, Paz J, et al. HIV stigma as a barrier to retention in HIV care at a general hospital in Lima, Peru: a case-control study. AIDS Behav. 2015;19:235–245.
98. Zachariah R, Teck R, Buhendwa L, et al. Community support is associated with better antiretroviral treatment outcomes in a resource-limited rural district in Malawi. Trans R Soc Trop Med Hyg. 2007;101:79–84.
99. Campbell C, Skovdal M, Mupambireyi Z, et al. Building adherence-competent communities: factors promoting children's adherence to anti-retroviral HIV/AIDS treatment in rural Zimbabwe. Health Place. 2012;18:123–131.
100. Liau A, Crepaz N, Lyles CM, et al. Interventions to promote linkage to and utilization of HIV medical care among HIV-diagnosed persons: a qualitative systematic review, 1996–2011. AIDS Behav. 2013;17:1941–1962.
101. Burtle D, Welfare W, Elden S, et al. Introduction and evaluation of a “pre-ART care” service in Swaziland: an operational research study. BMJ Open. 2012;2:e000195.
102. Nakigozi G, Makumbi FE, Bwanika JB, et al. Impact of patient-selected care buddies on adherence to HIV care, disease progression, and conduct of daily life among pre-antiretroviral HIV-infected patients in Rakai, Uganda: a randomized controlled trial. J Acquir Immune Defic Syndr. 2015;70:75–82.
103. Assefa Y, Alebachew A, Lera M, et al. Scaling up antiretroviral treatment and improving patient retention in care: lessons from Ethiopia, 2005-2013. Global Health. 2014;10:43.
104. de Carvalho CV, Merchan-Hamann E, Matsushita R. Determinants of antiretroviral treatment adherence in Brasilia, Federal district: a case-control study [in Portuguese]. Rev Soc Bras Med Trop. 2007;40:555–565.
105. Lubega M, Tumwesigye NM, Kadobera D, et al. Effect of community support agents on retention of people living with HIV in pre-antiretroviral care: a randomized controlled trial in eastern Uganda. J Acquir Immune Defic Syndr. 2015;70:e36–e43.
106. Lifson AR, Workneh S, Hailemichael A, et al. Implementation of a peer HIV community support worker program in rural Ethiopia to promote retention in care. J Int Assoc Provid AIDS Care. 2015. doi:
10.1177/2325957415614648.
107. Nsigaye R, Wringe A, Roura M, et al. From HIV diagnosis to treatment: evaluation of a referral system to promote and monitor access to antiretroviral therapy in rural Tanzania. J Int AIDS Soc. 2009;12:31.
108. Hodgson I, Nakiyemba A, Seeley J, et al. Only connect–the role of PLHIV group networks in increasing the effectiveness of Ugandan HIV services. AIDS Care. 2012;24:1368–1374.
109. Barnabas RV, van Rooyen H, Tumwesigye E, et al. Initiation of antiretroviral therapy and viral suppression after home HIV testing and counselling in KwaZulu-Natal, South Africa, and Mbarara district, Uganda: a prospective, observational intervention study. Lancet HIV. 2014;1:e68–e76.
110. MacPherson P, Lalloo DG, Webb EL, et al. Effect of optional home initiation of HIV care following HIV self-testing on antiretroviral therapy initiation among adults in Malawi: a randomized clinical trial. JAMA. 2014;312:372–379.
111. Audet CM, Salato J, Blevins M, et al. Educational intervention increased referrals to allopathic care by traditional healers in three high HIV-prevalence rural districts in Mozambique. PLoS One. 2013;8:e70326.
112. Mashamba T, Peltzer K, Maluleke TX, et al. A controlled study of an HIV/AIDS/STI/TB intervention with faith healers in Vhembe district, South Africa. Afr J Tradit Complement Altern Med. 2011;8:83–89.
113. Peltzer K, Mngqundaniso N, Petros G. A controlled study of an HIV/AIDS/STI/TB intervention with traditional healers in KwaZulu-Natal, South Africa. AIDS Behav. 2006;10:683–690.
114. Petzer K, Mngqundaniso N. Patients consulting traditional health practioners in the context of HIV/AIDS in urban areas in KwaZulu-Natal, South Africa. Afr J Tradit Complement Altern Med. 2008;5:370–379.
115. Koole O, Denison JA, Menten J, et al. Reasons for missing antiretroviral therapy: results from a multi-country study in Tanzania, Uganda, and Zambia. PLoS One. 2016;11:e0147309.
116. Barnhart M, Shelton JD. ARVs: the next generation. Going boldly together to new frontiers of HIV treatment. Glob Health Sci Pract. 2015;3:1–11.
117. Shet A, Kumarasamy N, Poongulali S, et al. Longitudinal analysis of adherence to first-line antiretroviral therapy: evidence of treatment sustainability from an indian HIV cohort. Curr HIV Res. 2016;14:71–79.
118. Mudzviti T, Mudzongo NT, Gavi S, et al. A time to event analysis of adverse drug reactions due to tenofovir, zidovudine and stavudine in a cohort of patients receiving antiretroviral treatment at an outpatient clinic in Zimbabwe. Pharmacol Pharm. 2015;6:6.
119. Oku AO, Owoaje ET, Ige OK, et al. Prevalence and determinants of adherence to HAART amongst PLHIV in a tertiary health facility in south-south Nigeria. BMC Infect Dis. 2013;13:1.
120. Adejumo OA, Malee KM, Ryscavage P, et al. Contemporary issues on the epidemiology and antiretroviral adherence of HIV-infected adolescents in sub-Saharan Africa: a narrative review. J Int AIDS Soc. 2015;18:20049.
121. Maneesriwongul WL, Tulathong S, Fennie KP, et al. Adherence to antiretroviral medication among HIV-positive patients in Thailand. J Acquir Immune Defic Syndr. 2006;43(suppl 1):S119–S122.
122. Wasti SP, van Teijlingen E, Simkhada P, et al. Factors influencing adherence to antiretroviral treatment in Asian developing countries: a systematic review. Trop Med Int Health. 2012;17:71–81.
123. Mills EJ, Nachega JB, Bangsberg DR, et al. Adherence to HAART: a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006;3:e438.
124. Wang X, Wu Z. Factors associated with adherence to antiretroviral therapy among HIV/AIDS patients in rural China. AIDS. 2007;21(suppl 8):S149–S155.
125. Gross R, Bandason T, Langhaug L, et al. Factors associated with self-reported adherence among adolescents on antiretroviral therapy in Zimbabwe. AIDS Care. 2015;27:322–326.
126. Dahab M, Charalambous S, Hamilton R, et al. “That is why I stopped the ART”: patients' and providers' perspectives on barriers to and enablers of HIV treatment adherence in a South African workplace programme. BMC Public Health. 2008;8:63.
127. Lyimo RA, de Bruin M, van den Boogaard J, et al. Determinants of antiretroviral therapy adherence in northern Tanzania: a comprehensive picture from the patient perspective. BMC Public Health. 2012;12:716.
128. Li L, Ji G, Ding Y, et al. Perceived burden in adherence of antiretroviral treatment in rural China. AIDS Care. 2012;24:502–508.
129. Nyamathi A, Salem B, Ernst EJ, et al. Correlates of adherence among rural indian women living with HIV/AIDS. J HIV AIDS Soc Serv. 2012;11:327–345.
130. van Loggerenberg F, Grant AD, Naidoo K, et al. Individualised motivational counselling to enhance adherence to antiretroviral therapy is not superior to didactic counselling in South African patients: findings of the CAPRISA 058 randomised controlled trial. AIDS Behav. 2015;19:145–156.
131. Vyankandondera J, Mitchell K, Asiimwe-Kateera B, et al. Antiretroviral therapy drug adherence in Rwanda: perspectives from patients and healthcare workers using a mixed-methods approach. AIDS Care. 2013;25:1504–1512.
132. Li MJ, Murray JK, Suwanteerangkul J, et al. Stigma, social support, and treatment adherence among HIV-positive patients in Chiang Mai, Thailand. AIDS Educ Prev. 2014;26:471–483.
133. Denison JA, Banda H, Dennis AC, et al. “The sky is the limit”: adhering to antiretroviral therapy and HIV self-management from the perspectives of adolescents living with HIV and their adult caregivers. J Int AIDS Soc. 2015;18 doi:
10.7448/IAS.18.1.19358.
134. Bezabhe WM, Chalmers L, Bereznicki LR, et al. Barriers and facilitators of adherence to antiretroviral drug therapy and retention in care among adult HIV-positive patients: a qualitative study from Ethiopia. PLoS One. 2014;9:e97353.
135. Finocchario-Kessler S, Catley D, Berkley-Patton J, et al. Baseline predictors of ninety percent or higher antiretroviral therapy adherence in a diverse urban sample: the role of patient autonomy and fatalistic religious beliefs. AIDS Patient Care STDS. 2011;25:103–111.
136. Vyas KJ, Limneos J, Qin H, et al. Assessing baseline religious practices and beliefs to predict adherence to highly active antiretroviral therapy among HIV-infected persons. AIDS Care. 2014;26:983–987.
137. Kerr SJ, Avihingsanon A, Putcharoen O, et al. Assessing adherence in Thai patients taking combination antiretroviral therapy. Int J STD AIDS. 2012;23:160–165.
138. Nachega JB, Knowlton AR, Deluca A, et al. Treatment supporter to improve adherence to antiretroviral therapy in HIV-infected South African adults. A qualitative study. J Acquir Immune Defic Syndr. 2006;43(suppl 1):S127–S133.
139. Sweeney SM, Mitzel LD, Vanable PA. Impact of HIV-related stigma on medication adherence among persons living with HIV. Curr Opin Psychol. 2015;5:96–100.
140. Tilahun HA, Mariam DH, Tsui AO. Effect of perceived stigma on adherence to highly active antiretroviral therapy and self-confidence to take medication correctly in Addis Ababa, Ethiopia. J HIV AIDS Soc Serv. 2012;11:346–362.
141. van Loggerenberg F, Gray D, Gengiah S, et al. A qualitative study of patient motivation to adhere to combination antiretroviral therapy in South Africa. AIDS Patient Care STDS. 2015;29:299–306.
142. Dlamini PS, Wantland D, Makoae LN, et al. HIV stigma and missed medications in HIV-positive people in five African countries. AIDS Patient Care STDS. 2009;23:377–387.
143. Scanlon ML, Vreeman RC. Current strategies for improving access and adherence to antiretroviral therapies in resource-limited settings. HIV AIDS (Auckl). 2013;5:1–17.
144. Katz IT, Ryu AE, Onuegbu AG, et al. Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis. J Int AIDS Soc. 2013;16(3 suppl 2):18640.
145. Luszczynska A, Sarkar Y, Knoll N. Received social support, self-efficacy, and finding benefits in disease as predictors of physical functioning and adherence to antiretroviral therapy. Patient Educ Couns. 2007;66:37–42.
146. Goudge J, Ngoma B, Manderson L, et al. Stigma, identity and resistance among people living with HIV in South Africa. SAHARA J. 2009;6:94–104.
147. Harris J, Pillinger M, Fromstein D, et al. Risk factors for medication non-adherence in an HIV infected population in the dominican republic. AIDS Behav. 2011;15:1410–1415.
148. Ncama BP, McInerney PA, Bhengu BR, et al. Social support and medication adherence in HIV disease in KwaZulu-Natal, South Africa. Int J Nurs Stud. 2008;45:1757–1763.
149. Chamroonsawasdi K, Insri N, Pitikultang S. Predictive factors of antiretroviral (ARV) drug adherence among people living with HIV/AIDS attending at taksin hospital, Bangkok, Thailand. J Med Assoc Thai. 2011;94:775–781.
150. Weaver ER, Pane M, Wandra T, et al. Factors that influence adherence to antiretroviral treatment in an urban population, Jakarta, Indonesia. PLoS One. 2014;9:e107543.
151. Poudel KC, Buchanan DR, Amiya RM, et al. Perceived family support and antiretroviral adherence in HIV-positive individuals: results from a community-based positive living with HIV study. Int Q Community Health Educ. 2015;36:71–91.
152. Axelsson JM, Hallager S, Barfod TS. Antiretroviral therapy adherence strategies used by patients of a large HIV clinic in Lesotho. J Health Popul Nutr. 2015;33. doi:
10.1186/s41043-015-0026-9.
153. Ware NC, Wyatt MA, Haberer JE, et al. What's love got to do with it? Explaining adherence to oral antiretroviral pre-exposure prophylaxis (PrEP) for HIV serodiscordant couples. J Acquir Immune Defic Synd. 2012;59:463–468.
154. Sanjobo N, Frich JC, Fretheim A. Barriers and facilitators to patients' adherence to antiretroviral treatment in Zambia: a qualitative study. SAHARA J. 2008;5:136–143.
155. Spire B, Carrieri P, Sopha P, et al. Adherence to antiretroviral therapy in patients enrolled in a comprehensive care program in Cambodia: a 24-month follow-up assessment. Antivir Ther. 2008;13:697–703.
156. Charurat M, Oyegunle M, Benjamin R, et al. Patient retention and adherence to antiretrovirals in a large antiretroviral therapy program in Nigeria: a longitudinal analysis for risk factors. PLoS One. 2010;5:e10584.
157. Jones DL, Zulu I, Vamos S, et al. Determinants of engagement in HIV treatment and care among Zambians new to antiretroviral therapy. J Assoc Nurses AIDS Care. 2013;24:e1–e12.
158. Penn C, Watermeyer J, Evans M. Why don't patients take their drugs? The role of communication, context and culture in patient adherence and the work of the pharmacist in HIV/AIDS. Patient Educ Couns. 2011;83:310–318.
159. Poles G, Li M, Siril H, et al. Factors associated with different patterns of nonadherence to HIV care in Dar es Salaam, Tanzania. J Int Assoc Provid AIDS Care. 2014;13:78–84.
160. Watt MH, Maman S, Golin CE, et al. Factors associated with self-reported adherence to antiretroviral therapy in a Tanzanian setting. AIDS Care. 2010;22:381–389.
161. Patel S, Dowse R. Understanding the medicines information-seeking behaviour and information needs of South African long-term patients with limited literacy skills. Health Expect. 2015;18:1494–1507.
162. Watermeyer J. “This clinic is number one”: a qualitative study of factors that contribute toward “successful”care at a south african pediatric HIV/AIDS clinic. Eval Health Prof. 2012;35:360–379.
163. Ankrah DN, Koster ES, Mantel-Teeuwisse AK, et al. Facilitators and barriers to antiretroviral therapy adherence among adolescents in Ghana. Patient Prefer Adherence. 2016;10:329.
164. Jaquet A, Ekouevi DK, Bashi J, et al. Alcohol use and non-adherence to antiretroviral therapy in HIV-infected patients in West Africa. Addiction. 2010;105:1416–1421.
165. Joglekar N, Paranjape R, Jain R, et al. Barriers to ART adherence and follow ups among patients attending ART centres in Maharashtra, India. Indian J Med Res. 2011;134:954–959.
166. Merten S, Kenter E, McKenzie O, et al. Patient-reported barriers and drivers of adherence to antiretrovirals in sub-Saharan Africa: a meta-ethnography. Trop Med Int Health. 2010;15(suppl 1):16–33.
167. Goudge J, Ngoma B. Exploring antiretroviral treatment adherence in an urban setting in South Africa. J Public Health Policy. 2011;32(suppl 1):S52–S64.
168. Kagee A, Remien RH, Berkman A, et al. Structural barriers to ART adherence in Southern Africa: challenges and potential ways forward. Glob Public Health. 2011;6:83–97.
169. Wouters E, Van Damme W, van Rensburg D, et al. Impact of baseline health and community support on antiretroviral treatment outcomes in HIV patients in South Africa. AIDS. 2008;22:2545–2548.
170. da Costa TM, Barbosa BJ, Gomes e Costa DA, et al. Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages. Int J Med Inform. 2012;81:257–269.
171. Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010;376:1838–1845.
172. Pop-Eleches C, Thirumurthy H, Habyarimana JP, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011;25:825–834.
173. Huang D, Sangthong R, McNeil E, et al. Effects of a phone call intervention to promote adherence to antiretroviral therapy and quality of life of HIV/AIDS patients in Baoshan, China: a randomized controlled trial. AIDS Res Treat. 2013;2013:580974.
174. Maduka O, Tobin-West CI. Adherence counseling and reminder text messages improve uptake of antiretroviral therapy in a tertiary hospital in Nigeria. Niger J Clin Pract. 2013;16:302–308.
175. Shet A, De Costa A, Kumarasamy N, et al. Effect of mobile telephone reminders on treatment outcome in HIV: evidence from a randomised controlled trial in India. BMJ. 2014;349:g5978.
176. Mbuagbaw L, Thabane L, Ongolo-Zogo P, et al. The cameroon mobile phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy. PLoS One. 2012;7:e46909.
177. Wouters E, Van Damme W, van Rensburg D, et al. 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.
178. Taiwo BO, Idoko JA, Welty LJ, et al. Assessing the viorologic and adherence benefits of patient-selected HIV treatment partners in a resource-limited setting. J Acquir Immune Defic Syndr. 2010;54:85–92.
179. Nachega JB, Chaisson RE, Goliath R, et al. Randomized controlled trial of trained patient-nominated treatment supporters providing partial directly observed antiretroviral therapy. AIDS. 2010;24:1273–1280.
180. Coker M, Etiebet MA, Chang H, et al. Socio-demographic and adherence factors associated with viral load suppression in HIV-infected adults initiating therapy in northern Nigeria: a randomized controlled trial of a peer support intervention. Curr HIV Res. 2015;13:279–285.
181. Wouters E, Masquillier C, Ponnet K, et al. A peer adherence support intervention to improve the antiretroviral treatment outcomes of HIV patients in South Africa: the moderating role of family dynamics. Social Sci Med. 2014;113:145–153.
182. Chang LW, Kagaayi J, Nakigozi G, et al. Effect of peer health workers on AIDS care in Rakai, Uganda: a cluster-randomized trial. PLoS One. 2010;5:e10923.
183. Chung MH, Richardson BA, Tapia K, et al. A randomized controlled trial comparing the effects of counseling and alarm device on HAART adherence and virologic outcomes. PLoS Med. 2011;8:e1000422.
184. Munoz M, Bayona J, Sanchez E, et al. Matching social support to individual needs: a community-based intervention to improve HIV treatment adherence in a resource-poor setting. AIDS Behav. 2011;15:1454–1464.
185. Jones D, Sharma A, Kumar M, et al. Enhancing HIV medication adherence in India. J Int Assoc Provid AIDS Care. 2013;12:343–348.
186. Nyamathi A, Hanson AY, Salem BE, et al. Impact of a rural village women (Asha) intervention on adherence to antiretroviral therapy in southern India. Nurs Res. 2012;61:353–362.
187. Luque-Fernandez MA, Van Cutsem G, Goemaere E, et al. Effectiveness of patient adherence groups as a model of care for stable patients on antiretroviral therapy in Khayelitsha, Cape Town, South Africa. PLoS One. 2013;8:e56088.
188. Peltzer K, Ramlagan S, Jones D, et al. Efficacy of a lay health worker led group antiretroviral medication adherence training among non-adherent HIV-positive patients in KwaZulu-Natal, South Africa: results from a randomized trial. SAHARA J. 2012;9:218–226.
189. Heijnders M, Van Der Meij S. The fight against stigma: an overview of stigma-reduction strategies and interventions. Psychol Health Med. 2006;11:353–363.
190. Stangl AL, Lloyd JK, Brady LM, et al. A systematic review of interventions to reduce HIV-related stigma and discrimination from 2002 to 2013: how far have we come? J Int AIDS Soc. 2013;16.
191. Mahajan AP, Sayles JN, Patel VA, et al. Stigma in the HIV/AIDS epidemic: a review of the literature and recommendations for the way forward. AIDS. 2008;22(suppl 2):S67.
192. Chidrawi HC, Greeff M, Temane QM, et al. HIV stigma experiences and stigmatisation before and after an intervention. Health SA Gesondheid. 2016;21:196–205.
193. Pretorius JB, Greeff M, Freeks FE, et al. A HIV stigma reduction intervention for people living with HIV and their families. Health SA Gesondheid. 2016;21:187–195.
194. Mburu G, Ram M, Skovdal M, et al. Resisting and challenging stigma in Uganda: the role of support groups of people living with HIV. J Int AIDS Soc. 2013;16. doi:
10.7448/IAS.16.3.18636.
195. O'Leary A, Kennedy M, Pappas-DeLuca KA, et al. Association between exposure to an HIV story line in the bold and the beautiful and HIV-related stigma in Botswana. AIDS Education Prev. 2007;19:209.
196. Chidrawi HC, Greeff M, Temane QM. Health behaviour change of people living with HIV after a comprehensive community-based HIV stigma reduction intervention in North-West province in South Africa. SAHARA J. 2014;11:222–232.
197. Noar SM, Palmgreen P, Chabot M, et al. A 10-year systematic review of HIV/AIDS mass communication campaigns: have we made progress? J Health Commun. 2009;14:15–42.
198. Palmgreen P, Noar SM, Zimmerman RS, et al. Mass media campaigns as a tool for HIV prevention. In: Edgar T, Noar SM, Freimuth VS, eds. Communication perspectives on HIV/AIDS for the 21st century. New York, NY: Lawrence Erlbaum Associates. 2009;221–252.
199. Johnson BT, Scott-Sheldon LA, Carey MP. Meta-synthesis of health behavior change meta-analyses. Am J Public Health. 2010;100:2193–2198.
200. Bongaarts J, Cleland J, Townsend JW, et al. Family Planning Programs for the 21st Century. New York, NY: Population Council. 2012.
201. Kincaid D, Delate R, Storey J, et al. Closing the gaps in practice and in theory: evaluation of the Scrutinize HIV campaign in South Africa. In: Rice RE, Atkin CK, eds. Public Communication Campaigns. London: Sage Publications Ltd. 2012;305–320.
202. Hess R, Meekers D, Storey JD. Egypt's Mabrouk! Initiative. In: Obregon R, Waisbord S, eds. The handbook of global health communication. Malden, MA: Wiley-Blackwell. 2012;374–407.
203. Figueroa ME, Poppe P, Carrasco M, et al. Effectiveness of community dialogue in changing gender and sexual norms for HIV prevention: evaluation of the Tchova Tchova program in Mozambique. J Health Commun. 2016;21:554–563.
204. Kincaid DL, Do MP. Multivariate causal attribution and cost-effectiveness of a national mass media campaign in the Philippines. J Health Commun. 2006;11:69–90.