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Evidence of reduced treatment adherence among HIV infected paediatric and adolescent populations in Nairobi at the onset of the UNAIDS Universal Test and Treat Program
BMC Research Notes volume 11, Article number: 134 (2018)
We conducted a retrospective cohort study to evaluate the efficacy of the World Health Organization (WHO) “Universal Test and Treat” (UTT) policy, initiated in Kenya in September 2016. Under this policy, every human immunodeficiency virus (HIV)-infected person should be initiated on antiretroviral therapy (ART). We compared intra- and inter-group viral suppression and ART adherence rates for pre-UTT (initiated on ART in March–August 2016) and UTT groups (initiated in September 2016). The study was conducted in a community outreach Program in Nairobi with 3500 HIV-infected children enrolled.
122 children and adolescents were initiated on first-line ART pre-UTT, and 197 during the UTT period. The 6 month viral suppression rate was 79.7% pre-UTT versus 76.6% UTT (P < 0.05). Suboptimal adherence was higher in the UTT than pre-UTT period (88 of 197, 44.7% and 44 of 122, 34%; P < 0.001). The decrease in adherence was greater among orphans (91.7% pre-UTT and 87.2% UTT, P = 0.001) and children 11–18 years. Our results show that successful implementation of the UTT policy in Africa is challenged by an increased risk of suboptimal adherence. There is a need to develop extra strategies to support adherence, especially among orphans and teenagers.
Sub-Saharan Africa accounts for 71% of all Human Immunodeficiency Virus (HIV)-infected individuals, and 91% of all HIV-infected children below the age of 15 years . In Kenya, there are approximately 190,000 HIV-infected children and adolescents, of whom only 38% are on antiretroviral therapy (ART) . In 2014, the Joint United Nations Programme on HIV and AIDS (UNAIDS) launched the three 90-90-90 targets for 2020 as a major step towards eliminating the AIDS epidemic . Related to this, the World Health Organization (WHO) directed that from the 1st of September 2016, every HIV-positive person should be initiated on ART immediately, regardless of their CD4+ T cell count . This is commonly called the “Universal Test and Treat” (UTT) strategy. By availing ART to HIV-infected people and expanding prevention choices to the uninfected, 21 million AIDS-related deaths and 28 million new infections can be prevented by 2030 .
The 90-90-90 targets recognize and utilize ART as a life-saving treatment [3, 5, 6], a transmission prevention measure [5, 7] and a human right [5, 8]. Target one is successfully diagnosing 90% of all HIV-positive people. In target two, 90% of those diagnosed will be started on ART, and target three entails achieving viral suppression for 90% of those on ART. While allowing for serial 10% losses at each subsequent step, the implementation of these targets should result in 73% of all HIV-infected individuals achieving viral suppression [3, 5].
We conducted a retrospective cohort study whose objective was to determine the impact of the UTT policy on viral suppression and ART adherence rates among paediatric and adolescent populations in Nairobi, Kenya. A secondary objective was to determine the risk factors for virologic failure and suboptimal ART adherence.
Study site and methods
Study design and population
The Lea Toto Program (LTP) is a multi-Centre community outreach program in Nairobi, Kenya that cares for 3500 HIV-infected children and adolescents, aged 1–18 years old. These individuals live in eight low-income suburbs of Nairobi: Dagoretti, Dandora, Kangemi, Kariobangi, Kawangware, Kibera, Mukuru, and Zimmerman. The LTP Centres provide free ART drugs, CD4+ T-lymphocyte cell count monitoring, viral load testing, clinical management of opportunistic infections, and counselling.
This was a retrospective cohort study, which included all eligible participants going by inclusion criteria . Two separate groups of patients were studied: the first group was the pre-UTT group, who began ART in any of the 6 months before the adoption of the UTT guidelines (March to August 2016). The second group was the UTT group: patients who began ART in September 2016, the UTT launch month. The data of interest for both groups was viral suppression and ART adherence rates 6 months after ART initiation. We conducted intra- and inter-group comparisons for the pre-UTT and UTT groups.
The retrospective cohort included 122 individuals in the pre-UTT group and 197 in the UTT group who were eligible going by the inclusion criteria: any children and adolescents who began ART during one of the two periods of interest (March-August 2016 or September 2016), and had been followed up for at least 6 months. Among the UTT group of 197 children, 108 children had tested positive in the pre-UTT period, but had not qualified for ART under the old WHO guidelines; either because they were above 10 years of age, or their CD4+ T-cell count was above 500 cells/µL . Instead of ART, they had been on Co-trimoxazole prophylaxis prior to September 2016.
Data collection and analysis
Data was collected from patient files, and analysed using SPSS version 22. The WHO threshold of 1000 HIV-1 RNA copies/mL, was used to determine treatment success or virologic failure after 6 months of treatment . Percentages, medians, and interquartile ranges (IQRs) were calculated. P values were determined using the Student’s T test for normally distributed data and the Mann–Whitney U test for skewed data. Univariate and multivariate Cox proportional hazards regression analysis was used to establish the effect of different variables on virologic failure. A threshold of P < 0.05 for statistical significance was set.
To measure adherence rates, four parameters were used : firstly, the pill counts done by the Clinicians during the monthly clinic visits; secondly, the pill counts done by the LTP community health workers (CHWs) during unannounced home visits, with the latter serving as verification of the former; thirdly punctuality in attending clinic sessions, with a maximum allowance of 2 days late; fourthly, undergoing the required blood tests on schedule. Each parameter contributed 25% to the overall score. Within each parameter, full compliance was scored as 25%, partial compliance was scored as 12.5%, and zero compliance was scored as 0%. Any overall score between 95 and 100% was defined as optimal, while a score below 95% was defined as suboptimal [11,12,13].
Ethical approval and consent to participate
The study was approved and cleared by the Kenya Medical Research Institute Scientific and Ethics Review Board, as well as the Nyumbani Medical Board (NMB); the NMB oversees all research and treatment operations in the LTP. All personal identifiers were removed by the researchers upon copying the data from the patient files. This was a retrospective cohort non-interventional study founded on post hoc analysis of data already present in patients’ files, and collected only for clinical indications . Therefore, no written informed consent was asked of the patients.
Pre-UTT and UTT viral suppression intra-group comparisons
The baseline characteristics of the overall cohort, the pre-UTT group and the UTT group are shown in Table 1. We compared intra-group viral suppression rates within the pre-UTT group based on number of parents in the home and age group (Fig. 1). Two parent homes: 82.5%; one-parent homes: 76.2%, and guardian homes: 76.5%. For the comparison of two-parent homes vs. one-parent homes, P = 0.04; for two parent homes vs. guardian homes, P = 0.02. Age group comparisons: 2 to 5 years: 82.1%; 6–10 years: 80.0%; 11–14 years: 77.7%; 15–18 years: 73.9%. For the 2–10 years group vs. the 11–18 years group, P = 0.01. The UTT intra-group viral suppression rates are also shown in Fig. 1.
Pre-UTT and UTT viral suppression inter-group comparisons
The viral suppression rates were 79.7% pre-UTT vs. 76.6% UTT; P = 0.007. Significant reductions were observed for children under the care of guardians (76.5% pre-UTT vs. 74.1% UTT, P = 0.02) and the 11–14 years group (77.7% pre-UTT vs. 75.4% UTT P = 0.03). The 15–18 years group reported the lowest viral suppression rates among all age groups, both in the pre-UTT and UTT periods (73.9 and 74.3%, P = 0.35) (Fig. 1).
Risk factors for below-target viral suppression
The variables considered as potential risk factors were adherence level, caregiver status, gender, and age group. The treatment success sub-group was compared to the virologic failure sub-group within the pre-UTT and UTT groups (Table 2). These variables qualified as risk factors when three conditions were met: the Cox proportional hazard ratio (HR) had to be greater than 1.96, both the lower and upper limits of the 95% confidence interval (CI) had to be greater than 1, and the P value had to be less than 0.05 . Suboptimal adherence was the only predictive risk factor: children with suboptimal adherence in the pre-UTT group were 5.3 times more likely to develop virologic failure when compared to individuals in the same group with optimal adherence [univariate hazard ratio (HR) = 5.32, 95% confidence interval (CI) 2.75–10.29, P value of 0.0006]. The likelihood of treatment failure increased to 14.6 times after implementation of UTT (univariate HR = 14.63, 95% CI 3.18–104.38, P value of 0.003), a 2.8-fold increase (Table 2).
Risk factors for suboptimal adherence
Children with suboptimal adherence increased from 36% (44 of 122) in the pre-UTT group to 44.7% (88 of 197) in the UTT era (P < 0.001). The complete adherence dataset is found in Additional file 1: Appendix S1. The variables considered as potential risk factors for suboptimal adherence were caregiver status, age group, and gender. For the pre-UTT group, none of these variables met all three conditions for predictive Cox hazard ratios . However in the UTT period, both guardian caregiver status and being 11–14 years old were predictive of suboptimal adherence: UTT guardian homes: univariate HR = 2.27, 95% CI 1.12–6.72, P = 0.041); children aged 11–14 years: Univariate HR = 2.16, 95% CI 1.03–5.73, P = 0.018 (Table 2).
Our study shows a significant fall in viral suppression rates among an HIV-infected paediatric and adolescent population in Nairobi on the transition from the previous WHO treatment guidelines to the UTT policy. This was directly correlated with a fall in adherence rates. Children with suboptimal adherence were 5.3 times more likely to fail ART pre-UTT, and 14.6 times more likely to fail in the UTT period, representing a 2.8-fold increase in the rate of virologic failure. Previous studies have proved the direct link between poor adherence to ART and increased risk of treatment failure [15,16,17]. This is even more concerning in the light of UTT ART scale-up for the 22 million people who were not on ART before September 2016 [18, 19]. Prior to UTT implementation, patients received thorough ART counselling before being initiated on treatment. In the “test and start” UTT dispensation, patients receive ART counselling concurrent with treatment . Therefore, patients in the UTT period are more likely to have a poorer understanding of the importance of taking their medicine at specific times of the day, every day. This may result in lower viral suppression and adherence rates.
Adolescent populations have been shown in previous studies to be the least adherent to ART. A recent national survey in Kenya found higher levels of suboptimal adherence among persons aged 15–29 . This is in conformity with data from across sub-Saharan Africa which found that ART adherence by pre-teenagers and teenagers is influenced by disclosure [21, 22], socioeconomic status , treatment fatigue , fear of stigmatization by peers , and vigilance by the primary caregivers [12, 13]. In the UTT period, many more pre-teenagers and teenagers who had not qualified for ART under the old WHO guidelines were initiated on ART. This transition may have amplified the above factors.
Children under the care of guardians in our study showed decreased adherence rates and a corresponding increase in treatment failure upon the transition to UTT. This is in line with previous studies which show that HIV-infected orphans being cared for by guardians are at greater risk of poor adherence and treatment failure [26,27,28]. In Zambia, higher adherence levels were observed where the child’s mother was the primary caregiver and improved further if the child had multiple caregivers . In Rwanda, double orphans under the care of guardians or siblings had the lowest adherence rates to ART . It has been observed that non-biological caregivers are less motivated to monitor their children’s ART ingestion as compared to biological parents . This may be more exacerbated in an urban slum setting, such as the LTP cohort in our study, where individuals live on less than 5 US dollars daily.
Our observations show an increase in suboptimal adherence and a corresponding increase in treatment failure rates among a paediatric and adolescent population in Nairobi, Kenya at the onset of implementation of the WHO UTT Program in September 2016. Though there is overwhelming scientific evidence that starting ART as soon as possible has profound advantages, there is need to develop extra strategies to vigorously support adherence especially among orphaned children and teenagers.
The main limitation of the study was that it was a retrospective cohort study with only 6 months of follow up. A time series analysis over 12–24 months would likely reveal more. Secondly, although the total number of children in the LTP is large (3500), only about 20–30 children were initiated on ART monthly in the pre-UTT period. Thus, we were able to include only 122 children in the pre-UTT group and 197 in the UTT group who met inclusion criteria. A larger sample size would have powered the study.
Universal Test and Treat
United Nations Programme on HIV and AIDS
World Health Organization
Lea Toto Programme
acquired immune deficiency syndrome
human immunodeficiency virus
community health workers
World Health Organization (WHO). Core epidemiological HIV/AIDS estimates. 2015. http://www.who.int/hiv/data/en/. Accessed 24 Mar 2017.
The Joint United Nations Programme on HIV/AIDS (UNAIDS). HIV and AIDS estimates for Kenya. 2015. http://www.unaids.org/en/regionscountries/countries/kenya. Accessed 24 Mar 2017.
The Joint United Nations Programme on HIV/AIDS (UNAIDS). 90–90-90 An ambitious treatment target to help end the AIDS epidemic; JC2684. 2014. http://www.unaids.org/sites/default/files/media_asset/90-90-90_en_0.pdf. Accessed 24 Mar 2017.
World Health Organization (WHO). Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection. 2016. http://www.who.int/hiv/data/en/. Accessed 24 Mar 2017.
Levi J, Raymond A, Pozniak A, Vernazza P, Kohler P, Hill A. Can the UNAIDS 90-90-90 target be achieved? BMJ Glob Health. 2016. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjgh-2015-000010.
Lundgren JD, Babiker AG, Gordin F, The INSIGHT START Study Group, et al. Initiation of antiretroviral therapy in early asymptomatic HIV infection. N Engl J Med. 2015;373:795–807.
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.
Gruskin S, Tarantola D. Universal access to HIV prevention, treatment and care: assessing the inclusion of human rights in international and national strategic plans. AIDS. 2008;22(Suppl 2):S123–32.
Charan J, Biswas T. How to calculate sample size for different study designs in medical research? Indian J Psychol Med. 2013;35(2):121–6.
Focà E, Odolini S, Sulis G, et al. Clinical and immunological outcomes according to adherence to first-line HAART in a urban and rural cohort of HIV-infected patients in Burkina Faso, West Africa. BMC Infect Dis. 2014;14:153.
Kamya MR, Mayanja-Kizza H, Kambugu A, Bakeera-Kitaka S, Semitala F, Mwebaze-Songa P, Castelnuovo B, Schaefer P, Spacek LA, Gasasira AF, Katabira E, Colebunders R, Quinn TC, Ronald A, Thomas DL, Kekitiinwa A. Predictors of long-term viral failure among Ugandan children and adults treated with antiretroviral therapy. J Acquir Immune Defic Syndr. 2007;46(2):187–93.
Ware NC, Idoko J, Kaaya S, Biraro IA, Wyatt MA, Agbaji O, Chalamilla G, Bangsberg DR. Explaining adherence success in sub-Saharan Africa: an ethnographic study. PLoS Med. 2009;6(1):e11.
Haberer JE, Cook A, Walker AS, Ngambi M, Ferrier A, Mulenga V, Kityo C, Thomason M, Kabamba D, Chintu C, Gibb DM, Bangsberg DR. Excellent adherence to antiretrovirals in HIV+ Zambian children is compromised by disrupted routine, HIV nondisclosure, and paradoxical income effects. PLoS ONE. 2011;6(4):e18505.
Walters S. What is a Cox model? 2009. http://www.whatisseries.co.uk/what-is-a-cox-model/. Accessed 25 Mar 2015.
Bigna JR, Plottel CS, Koulla-Shiro S. Challenges in initiating antiretroviral therapy for all HIV-infected people regardless of CD4 cell count. Infect Dis Poverty. 2016;5:85. https://0-doi-org.brum.beds.ac.uk/10.1186/s40249-016-0179-9.
Lima VD, Reuter A, Harrigan PR, Lourenco L, Chau W, Hull M, Mackenzie L, Guillemi S, Hogg RS, Barrios R, et al. Initiation of antiretroviral therapy at high CD4+ cell counts is associated with positive treatment outcomes. AIDS. 2015;29(14):1871–82.
Juma JM, Tiberio JK, Abuya MI, Kilama BK, Somi GR, Sambu V, Banda R, Jullu BS, Ramadhani AA. Monitoring prevention or emergence of HIV drug resistance: results of a population-based foundational survey of early warning indicators in mainland Tanzania. BMC Infect Dis. 2014;14:196.
Maqutu D, Zewotir T, North D, Naidoo K, Grobler A. Factors affecting first-month adherence to antiretroviral therapy among HIV-positive adults in South Africa. Afr J AIDS Res. 2010;9(2):117–24.
Maqutu D, Zewotir T. Optimal HAART adherence over time and time interval between successive visits: their association and determinants. AIDS Care. 2011;23(11):1417–24.
Mukui IN, Ng’ang’a L, Williamson J, Wamicwe JN, Vakil S, Katana A, Kim AA. Rates and predictors of non-adherence to antiretroviral therapy among HIV-positive individuals in Kenya: results from the second Kenya AIDS indicator survey, 2012. PLoS ONE. 2016;11(12):e0167465. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0167465.
Nachega J, Hislop M, Nguyen H, Dowdy D, Chaisson R, Regensberg L, Cotton M, Maartens G. Antiretroviral therapy adherence, virologic and immunologic outcomes in adolescents compared with adults in Southern Africa. J Acquir Immune Defic Syndr. 2009;51(1):65–71. https://0-doi-org.brum.beds.ac.uk/10.1097/qai.0b013e31819902e.
Aderomilehin O, Hanciles-Amu A, Ozoya OO. Perspectives and practice of HIV disclosure to children and adolescents by health-care providers and caregivers in sub-Saharan Africa: a systematic review. Front Public Health. 2016;4:166. https://0-doi-org.brum.beds.ac.uk/10.3389/fpubh.2016.00166.
Bermudez LG, Jennings L, Ssewamala FM, Nabunya P, Mellins C, McKay MM. Equity in adherence to antiretroviral therapy among economically vulnerable adolescents living with HIV in Uganda. AIDS Care. 2016;28(sup2):83–91.
Haberer JE, Mellins C. Paediatric adherence to HIV antiretroviral therapy. Curr HIV/AIDS Rep. 2009;6(4):194–200.
Wiener L, Mellins CA, Marhefka S, Battles HB. Disclosure of an HIV diagnosis to children: history, current research, and future directions. J Dev Behav Paediatr. 2007;28:155–66.
Thurman TR, Jarabi B, Rice J. Caring for the caregiver: evaluation of support groups for guardians of orphans and vulnerable children in Kenya. AIDS Care. 2012;24(7):811–9. https://0-doi-org.brum.beds.ac.uk/10.1080/09540121.2011.644229.
Mokgatle MM, Madiba S. The burden of disease on HIV-infected orphaned and non-orphaned children accessing primary health facilities in a rural district with poor resources in South Africa: a cross-sectional survey of primary caregivers of HIV-infected children aged 5–18 years. Infect Dis Poverty. 2015;4:18. https://0-doi-org.brum.beds.ac.uk/10.1186/s40249-015-0049-x (eCollection 2015).
Popoola T, Mchunu G. HIV orphanhood research and the representation of older orphans in Sub-Saharan Africa: a literature review. J Assoc Nurses AIDS Care. 2016;27(1):57–65. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jana.2015.09.002.
Kikuchi K, Poudel KC, Muganda J, Sato T, Mutabazi V, Muhayimpundu R, Majyambere A, Nyonsenga SP, Sase E, Jimba M. What makes orphans in Kigali, Rwanda, non-adherent to antiretroviral therapy? Perspectives of their caregivers. J Int AIDS Soc. 2014;17(1):19310.
Kikuchi K, Poudel KC, Muganda J, Sato T, Majyambere A, Otsuka K, Sato T, Mutabazi V, Nyonsenga SP, Muhayimpundu R, Jimba M, Yasuoka J. High risk of ART non-adherence and delay of ART initiation among HIV-positive double orphans in Kigali, Rwanda. PLoS One. 2012;7(7):e1998. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0041998.
ES and JK conceptualized the study. JK and RM participated in the implementation of the study. EM and JK performed the data analysis; JK drafted the manuscript with ES providing substantial input. EM and FW edited the manuscript. All authors read and approved the final manuscript.
We thank Sister Mary Owens, Sister Annie Panikulam, the Children of God Relief Institute (COGRI) and Nyumbani Medical Board (NMB) for granting us access to the LTP records. We also thank the Director, Kenya Medical Research Institute (KEMRI) for granting permission for the study and the publication of this paper.
The authors declare that they have no competing interests.
Availability of data and materials
Additional data supporting the conclusions of this article is presented in Additional file 1: Appendix S1.
Consent to publish
Ethics approval and consent to participate
The study was approved and cleared by the Kenya Medical Research Institute Scientific and Ethics Review Board under protocol number KEMRI/SSC/2500. Approval was also granted by the Nyumbani Medical Board, which oversees all Research and Treatment operations in the Lea Toto Program. This was a retrospective cohort study and it was non-interventional. All personal identifiers were removed by the researchers upon copying the data from the patient files. Since this was a retrospective non-interventional study founded on post hoc analysis of data already present in patients’ files, and collected only for clinical indications, no written informed consent was asked of the patients.
This work was funded by the Kenya National Commission for Science, Technology, and Innovation (NaCoSTI), grant NCSTI/ST&I/RCD/4thCallPhD/176 to JK; the Manitoba Medical Service Foundation (MMSF) in Canada to ES; and the HIV Research Trust in the United Kingdom, Grant HIVRT14-106 to JK.
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Additional file 1: Appendix S1. A PDF file with a detailed dataset for intra- and inter-group Adherence rates, before the adoption of Universal test and Treat (UTT) and after UTT adoption; found at https://0-doi-org.brum.beds.ac.uk/10.6084/m9.figshare.5760219.v1.
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Kabogo, J., Muniu, E., Wamunyokoli, F. et al. Evidence of reduced treatment adherence among HIV infected paediatric and adolescent populations in Nairobi at the onset of the UNAIDS Universal Test and Treat Program. BMC Res Notes 11, 134 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s13104-018-3205-0
- Universal test and treat
- Antiretroviral therapy
- Virologic failure