Literature DB >> 35283973

Factors associated with readiness to start antiretroviral therapy (ART) among young people (15-24 years) at four HIV clinics in Mulago Hospital, Uganda.

Jonathan Nkalubo1, Moureen Mugaba1, Ignatius Asasira1, Racheal Nakiganda1, Florence Namutebi2, Nick Ntore Arnaud1, Nicholas Kagumba Musisi3, Trinity Abasira4, Pius Jemba4, Racheal Ndyabawe1, Rosette Tumuhairwe5, Charles Batte6, Sabrina Bakeera-Kitaka7.   

Abstract

Introduction: Globally, the HIV burden continues to rise among young people despite the discovery of ART. This study assessed demographic and psycho-social factors among young people associated with readiness to be initiated on ART.
Methods: A quantitative cross-sectional study was conducted among newly diagnosed HIV positive young people aged 15-24 years at 4 HIV clinics at Mulago Hospital. Readiness was measured as a self-report by the individual to the question, "How ready do you feel to start ART?
Results: Of the 231 young people enrolled, the mean age (SD) was 20.7years (+/-2.8) and most were female (66.2%). Majority were very ready (53.3%) and very motivated (51.1%) to start ART. Higher treatment readiness was associated with being female (95% CI [5.62, 8.31], p=0.003), thinking that ART cures HIV (95% CI [0.43, 0.86], p=0.005), history of having unprotected sex (95% CI [0.79, 0.87], p=<0.001), anticipating negative HIV results (95% CI [0.26, 0.88], p=0.017), internalized stigma (95% CI [0.83, 0.98], p=0.018) and knowledge of positive ART effects for others (95% CI [0.84, 0.93], p=<0.001). Conclusions: Understanding the underlying factors associated with ART readiness among young people can inform strategies to support and increase individuals' readiness to initiate ART and early engagement in care.
© 2021 Nkalubo J et al.

Entities:  

Keywords:  Antiretroviral therapy Readiness; Sub-Saharan Africa; Young people

Mesh:

Year:  2021        PMID: 35283973      PMCID: PMC8889816          DOI: 10.4314/ahs.v21i4.14

Source DB:  PubMed          Journal:  Afr Health Sci        ISSN: 1680-6905            Impact factor:   0.927


Introduction

The burden of HIV/AIDS has reduced globally since the discovery of Antiretroviral Therapy (ART) 1,2. However, eastern and southern Africa continue to be severely affected by the HIV epidemic with about 290,000 new HIV infections among young people aged 15 to 24 years registered in 2018 3. Of these, Uganda contributed 6.6% with national prevalence of 5.7%4. Half of Uganda's population are youth 5 and the HIV prevalence among young people aged 15 to 24 years is 3.7%6. These young people are one of the key populations who are at a higher risk of acquirinHIV and most of them are unlikely to access care7,8. Despite several benefits of ART including reduction of AIDS-related mortality, morbidity and transmission, only 73% of people above 15 years are receiving ART 3. It is not clear what percentage of these are young people. Expanding that all people who test positive for HIV start ART is a global public health priority at the heart of the UNAIDS 90-90-90 strategy aimed at maximizing therapeutic and prevention benefits of ART9. However, lack of readiness to start ART has been a major set-back to achieving the set targets with many barriers to ART initiation among young people living with HIV (YPLHIV) such as socio-demographic, structural and economic factors10–17. Several studies have suggested that readiness is a key factor in HIV treatment 18–22 and a predictor of ART initiation23,24. Readiness is defined as “A conscious awareness, on the part of an individual, based on free will that he/she has considered and determined that a particular behavior change (i.e., taking ART as prescribed) will be beneficial” 25. Understanding the relationship between the phenomenon of readiness and subsequent HIV treatment adherence has implications for clinical decision-making and for development of interventions that enhance adherence and prevent HIV drug resistance 26. Today, there is scanty data on factors influencing ART readiness among young people hence a need for more studies. The 2018 revised national ART treatment guidelines which are in line with the WHO test and treat strategy recommended that all individuals who test positive should be started on ART regardless of their immunological or clinical stage of the disease 27. The guidelines continue to emphasize the need for patients to be ready to adhere well before starting ART, but there are no established, reliable methods for determining pretreatment readiness 27,28. This study assessed the demographic and psycho-social factors associated with readiness to start ART among young people aged 15 to 24 years at four HIV clinics located in Mulago National Referral Hospital in Kampala, Uganda.

Methods

Study Design, Setting and Participants

This was a cross sectional quantitative study conducted to assess the relationship between demographic, psychosocial factors and readiness of young people to initiate ART at Four HIV clinics in Mulago National Referral Hospital located in the heart of Kampala city, central Uganda. The 4 clinics included Infectious Diseases Institute (IDI), Mulago ISS clinic, Baylor Uganda and The Aids Support Organization (TASO). These were found to be eligible and included in the study purposely to get an adequate number of respondents. The study involved young people aged 15 – 24 years who had been newly diagnosed as HIV positive either from those clinics or referred for ART from other peripheral health centers.

Eligibility Criteria

Inclusion criteria were being a young person aged 15 -24 years, newly diagnosed as HIV positive, no current prescription for antiretroviral medication and having given informed consent/assent to participate in the study. Exclusion criteria were being too sick which was determined by a medical officer at the study site and those who asked to withdraw from the study.

Sample Size and Sampling Procedure

A sample size of 231 participants was calculated with the Kish-Leslie formula 29 using prevalence of readiness (84%) from a readiness study in South Africa19 and a margin of error of 5%. The sample size was distributed among the 4 HIV clinics basing on the number of young people (aged 15 to 24 years) that had been initiated on ART from any of these clinics in the previous month as follows; IDI 10, Baylor Uganda 46; Mulago ISS 91 and TASO 84. Consecutive sampling was then used to recruit study participants at each clinic.

Data Collection

Between February and March 2020, data was collected once from study participants using an interviewer administered structured questionnaire. Prior to the interviews, eligible individuals were selected and given information about the study by trained research assistants. Informed consent and assent for those below 18 years was obtained from all participants prior to participation. Each patient was met individually for about 15 minutes in a private consulting room at the HIV clinics. The investigator stressed to participants that the study was being conducted by Makerere university medical students and was completely independent of the HIV clinic, and that responses were anonymous and would not be seen by any of the staff involved in their care.

Study Variables

A study tool from a readiness study in South Africa was adopted 19 and made a few modifications using information gathered from a pretest and recommendations from HIV experts to best suite our study context. In addition, the questionnaire was designed to be concise in order to minimize effort among individuals recently diagnosed as HIV-positive. Readiness to initiate ART was the dependent variable. The test and treat strategy aims at initiating ART on the day of testing if there are no contraindications, and latest within 2 weeks. However, since it doesn't provide an actual measure of readiness, evidence from behavioral research that suggests that individuals can judge their own readiness was used 30. In our study, readiness was measured as a self-report by the individual to the question, “How ready do you feel to start ART?” In addition, the study based on responses to questions designed to measure essential elements of readiness identified in literature that must be present for readiness to exist which include an awareness that treatment will be beneficial, motivation to start treatment and the intention to start treatment soon 18,19,21,31,32.

Independent Variables

Demographic factors included gender, age, education, marital status, occupation and monthly income. In addition, the study assessed participants' general feeling of their own health in the past week since feeling healthy has been attributed to delay in seeking HIV services 33,34. A question on alcohol use was included as it has been identified as a barrier to HIV treatment among young people 35,36. We included other factors which several studies have directly linked to treatment initiation and adherence such as knowledge about ART37, perceived health benefits and knowledge of someone who has experienced positive health effects on ART, denial of being HIV positive 38, concerns about potential adverse effects 39, stigma (both internalized and externalized) 40, social support (from friends and family)41 and disclosure of HIV status42. All these psychosocial constructs have been demonstrated to contribute to influencing behavioral change including ART initiation and adherence20,43–45.

Data management and analysis

The data collected on questionnaires was double entered into Epidata version 4.6.0.2 and then exported to STATA version 15 for cleaning and analysis. Categorical variables were summarized into frequencies and percentages and continuous variables into means and standard deviations since they were normally distributed. Bivariate analysis was done to get the outcome of interest (Readiness to start ART). The variable “how ready do you feel to start ART” was recorded into a binary variable, with the levels, “not at all ready”, “somehow ready” and “don't know” being coded as “not ready” and the variable “very ready” being coded “ready”. Since the outcome was not rare (53.3%), the modified Poisson regression model with clustered standard errors (lustered at facility/clinic levels) was adopted to predict prevalence ratios (PR). All variables that had p-values <0.2, were considered for multivariate analysis. At multivariate analysis, variables were run in a single model and non-significant variables dropped one at a time starting with the most non-significant, until only significant variables remained in the model. Confounding was tested for by bringing back the variables in the order they were dropped starting with the last dropped. A variable was considered a confounder if the difference between the crude and adjusted prevalence ratios was >10%. All variables were considered to be significant if they had a p-value < 0.05.

Data Availability

The data underlying the results presented in the study are available from https://doi.org/10.6084/m9.figshare.14812830.v1

Results

Sample characteristics are presented in (Table 1). Eligible participants (N=231) were screened and enrolled in the study. Majority (39.4%) were tested from the Mulago ISS clinic. The mean age (SD) was 20.7 (+/-2.8) years. Majority of them were female (66.2%), not currently in school (57.6%), had attained secondary school education (47.6%), no history of alcohol use (65.8%) and had unprotected sex before (70%). 50.7% had no income with only 49.8% currently employed. 41.1% of the respondents had children. 46.3% had been in very good health during the last week. Given the high burden of HIV/AIDS and improved access to HIV care facilities in the central region where most of the participants resided, majority reported to have tested for HIV before (91.3%) and knew someone who had died of HIV (60.2%).
Table 1

Sample characteristics

VariablesTotal N = 231 n% of Sample
Enrollment at HIV Clinics
IDI104.3
Baylor4619.9
Mulago ISS9139.4
TASO8436.4
Age (years)Mean = 20.7SD = 2.8
Gender
Male7833.8
Female15366.2
Still in school 9842.4
Education level
Primary5122.1
Secondary11047.6
Tertiary6026
None104.3
Marital status
Single15768
Married4318.6
Separated or divorced3013
Widowed10.4
Employed 11549.8
Monthly Income
No salary11750.7
<UGX 300,0008335.9
>UGX300,0003113.4
Had unprotected sex before 12670
Age (years) when first had sex Mean = 17.5SD = 2.8
Have children 9541.1
Health in Past week
Poor or fair6829.4
Good5222.5
Very Good10746.3
Don't know41.7
Take alcohol at least once a month7934.2
Repeat HIV testers 21191.3
Has family/Friend who died of HIV/AIDS13960.2

N refers to total sample size and n refers to the size of the subset of the sample

UGX 300,000 was equivalent to $82 on 2 February 2020 (at the start of the study)

Sample characteristics N refers to total sample size and n refers to the size of the subset of the sample UGX 300,000 was equivalent to $82 on 2 February 2020 (at the start of the study)

Psychosocial characteristics

These are summarized in (Table 2). Majority of the participants had good knowledge about ART i.e. had ever heard about ART (94.4%), knew that ART can't cure HIV (62.3%), ARVs are taken for a lifetime (89.9%) and that ART should be started immediately after diagnosis (83.1%). Perceived HIV risk was common with majority (76.6%) having anticipated to test positive for HIV prior to coming to the clinics. Majority (70.1%) of the respondents knew someone who was on ART and believed that it had a positive health effect on the lives of those people. 32.9% didn't know that they would experience any side effects from ART. Majority reported not to feel at all ashamed (43.3%) or guilty (47.6%) and 41.1% didn't think that they would be treated badly/unfairly by others because of their HIV status. Most participants (35.5%) believed it was not at all likely that they would disclose their HIV status to anyone. Majority reported that they would get social support all the time from their friends (37.7%) and family members (41.1%).
Table 2

Psycho-social characteristics of study participants

VariablesTotal N = 231 n% of Sample
HIV test results anticipation today
Positive17776.6
Negative5322.9
Knowledge about ART
Ever heard of ARVs21894.4
ART can't cure HIV14462.3
ARVs are taken for a lifetime20589.9
ART is started immediately after diagnosis19283.1
How likely to experience side-effects from ARVs?
Not at all likely5724.7
Somehow likely5322.9
Very likely4519.5
Don't know7632.9
Knows a friend/family member taking ARVs and believes ART had a positive health effect16270.1
Internalised Stigma
Do you feel at all ashamed that you have HIV?
Not at all10043.3
Somehow6126.4
Very2021.7
Do you feel at all guilty that you have HIV?
Not at all11047.6
Somehow4419.1
Very5423.4
Externalized/Perceived Stigma
Do you think people will treat you badly/unfairly because you have HIV?
Not at all9541.1
Somehow5523.8
Very4619.9
Disclosure
How likely do you think it is that you'll tell anyone the results of your HIV test?
Not at all8235.5
Somehow5222.5
Very6829.4
Social Support
Will get any form of support all the time from;
Friends8737.7
Family members9541.1

N refers to total sample size and n refers to the size of the subset of the sample

Psycho-social characteristics of study participants N refers to total sample size and n refers to the size of the subset of the sample

Readiness to start ART

More than half of the participants reported to be very ready (53.3%) and very motivated (51.1%) to start ART and only 9.1% were uncertain if they were ready to start ART. In addition, 35.5% were very confident that ART would have a positive health effect on their lives and 35.1% had an intention to start ART within 2 weeks as recommended by the test and treat strategy. The four measures used to assess ART readiness are shown in (Table 3).
Table 3

ART readiness among study participants

Total N = 231 n% of Sample
ART readiness components
Very ready to start ART12353.3
Very motivated to start ART11851.1
Very confident that ART will have a positive health effect8235.5
Intend to start ART within 2 weeks as per guidelines8135.1

N refers to total sample size

n refers to the size of the subset of the sample

ART readiness among study participants N refers to total sample size n refers to the size of the subset of the sample

Factors associated with readiness to start ART among young people

Table 4 and Table 5 display results from bivariate and multivariate analysis respectively. The following factors were found to be significantly associated with readiness to start ART among young people at multivariate analysis; being female (aPR=1.22, 95%CI=1.07, 1.39, p=0.003) thinking ART cures HIV (aPR=0.42, 95%CI=0.43, 0.86, p=0.005), having ever had unprotected sex before (aPR=0.83, 95%CI=0.79, 0.87, p=<0.001), anticipating to have negative HIV results (aPR=0.49, 95%CI=0.26, 0.88, p=0.017), knowledge of positive ART effect for others (aPR=0.88, 95%CI=0.84, 0.93, p=<0.001) and feeling somehow ashamed that they have HIV (aPR=0.90, 95%CI=0.83, 0.98, p=0.018). In this model, feeling somehow guilty was found to be a confounder on feeling somehow ashamed.
Table 4

Bivariate analysis of factors associated with readiness to start Antiretroviral Therapy

VariablesNot ready n (%)Ready n (%)Crude PRp-value
Age in years, mean (SD)20.3 (2.9)21.1 (2.7)1.050.306
Female (ref: Male)68 (63.0)85 (69.1)1.140.087*
Employed (ref: Not working)54 (50.0)61 (49.6)0.990.924
Still in school (ref: No)55 (50.9)43 (35.0)0.730.003*
Very good health (ref: poor health)41 (39.4)66 (53.7)1.700.013*
Had unprotected sex before (ref: No)71 (84.5)55 (57.3)0.570.065*
Have children (ref: No)43 (39.8)52 (42.3)0.950.484
Take alcohol at least once a month (ref: No)14 (13.0)15 (12.2)0.950.821
Anticipating negative HIV results (ref: positive)40 (37.4)13 (10.6)0.39<0.001*
Think ART cures HIV (ref: don't)62 (57.4)25 (20.3)0.420.002*
ART should be started immediately (ref: later)78 (72.2)114 (92.7)2.570.001*
Internalized stigma: Likely to feel......(ref: not at all)
Somehow ashamed42 (38.9)19 (15.5)0.42<0.001*
Somehow guilty34 (31.5)10 (8.1)0.34<0.001*
Externalized stigma: Likely to be treated badly/unfairly...... (ref: not at all)
Somehow likely41 (38.0)14 (11.4)0.35<0.001*
Very Likely23 (21.3)23 (18.7)0.680.01*
Knowledge of positive ART effect for others (ref: No)83 (76.9)79 (64.2)1.310.088*
Likelihood of experiencing side effects (ref: not likely)
Somehow likely33 (30.6)20 (16.3)0.720.362
Very likely21 (19.4)24 (19.5)1.010.942
Don't know27 (25.0)49 (39.8)1.230.513
Likely to disclose HIV status to someone (ref: not at all)
Somehow likely28 (25.9)24 (19.5)0.770.164
Very likely29 (26.9)39 (31.7)0.960.787
Guaranteed social support from... (ref: never)
Friends26 (24.1)23 (18.7)0.890.196
Family members30 (27.8)31 (25.2)0.780.382

n refers to the size of the subset of the sample (N = 231)

Crude PR represents unadjusted Prevalence Ratio

Only variables that had a p-value <0.2, were considered for multivariate analysis

Table 5

Multivariate analysis of factors associated with readiness to start Antiretroviral Therapy

VariablesaPR (95% CI)p-value
Female (ref: Male)1.22 (1.07, 1.39)0.003**
Think ART cures HIV (ref: No)0.61 (0.43, 0.86)0.005**
Had unprotected sex before (ref: No)0.83 (0.79, 0.87)<0.001**
Anticipating negative HIV results (ref: positive)0.49 (0.26, 0.88)0.017**
Internalized stigma: Likely to feel......(ref: not at all)
Somehow ashamed0.90 (0.83, 0.98)0.018**
Somehow guiltya0.64 (0.39, 1.04)0.074
Knowledge of positive ART effect for others (ref: no)0.88 (0.84, 0.93)<0.001**

Confounder

aPR stands for adjusted Prevalence Ratio and CI is confidence interval

significant variables with a p-value ≤ 0.05

Bivariate analysis of factors associated with readiness to start Antiretroviral Therapy n refers to the size of the subset of the sample (N = 231) Crude PR represents unadjusted Prevalence Ratio Only variables that had a p-value <0.2, were considered for multivariate analysis Multivariate analysis of factors associated with readiness to start Antiretroviral Therapy Confounder aPR stands for adjusted Prevalence Ratio and CI is confidence interval significant variables with a p-value ≤ 0.05

Discussion

Despite the current clinical guidelines that recommend the immediate start of life saving antiretroviral therapy (ART), HIV infections continue to increase among adolescents and young people 46. Understanding ART readiness among this population will help inform interventions that encourage ART initiation 47. This study assessed factors associated with readiness to start ART among young people and is among the first studies in Uganda to assess HIV treatment readiness among young people. Results showed that more than half of the respondents were not only very ready and very motivated to start ART but also had intentions to start treatment within less than a month. This is a good indicator that HIV care programs and policy makers should gladly embrace if we are to achieve the second-90 UNAIDS target. These findings should however not make us forget that ART readiness is a dynamic state that changes over time 48, it should therefore be continuously assessed even after treatment initiation. Like other studies done among adults, there was a sizable number of young people who were still uncertain about ART readiness 19,49. We therefore recommend prospective studies to assess ART readiness and interventions to encourage more young people to start ART. Our study reported that females were more ready to start ART compared to their male counterparts. Other studies have shown that women are more likely to link to care and initiate treatment compared to men50–55. The other reason could be the difference in health seeking behavior of women compared to that of men. We found that females formed the majority of enrolled patients at the HIV clinics. This finding is in agreement with other studies that found more female enrollment to the HIV clinics than men56. We therefore call upon more interventions aimed at bridging this gender gap. These results showed that several psycho-social factors were directly associated with readiness to start ART. Due to the fact that most of the participants were from the central region with the highest prevalence of HIV/AIDS in Uganda57, majority of them knew someone who was living with HIV and taking ART. Knowledge of positive ART benefit/effect for others was another factor associated with ART readiness. This finding is consistent with other studies 19,22,58. Majority of the participants who were very motivated were very likely to start ART. Some of the motivators we identified were having children or knowing someone who was HIV positive and had reported benefits from ART. Other studies have also reported a similar finding 19,48,52. Motivation could further be boosted by good social support and access to supportive health care workers 59. Stigma (both internalized/externalized) has been found to be a barrier to HIV treatment initiation 60. Our study showed that internalized stigma could be a barrier to starting ART. Efforts to curb all forms of stigma in HIV care should be reinforced to even increase ART readiness because the stigma and discrimination prevalent in today's society have a profound psychological impact from the moment of HIV diagnosis. Participants who believed that ART cures HIV reported to be very ready to start ART. A study by Cohen et al., 2009 reported that some of their participants had a similar belief. This finding suggests that there is need to provide the right information about the benefits of ART during counseling of patients and through other health education channels. It should be emphasized that ART prolongs life rather than cure HIV. Participants who reported a history of having unprotected sex and those anticipating negative HIV test results also reported to be ready to start ART. It is known that having unprotected sex puts one at risk of HIV infection hence we understand that these participants had fear of having contracted the disease and thus the high level of ART readiness. Majority of the participants anticipated a positive HIV test result but they were found not to be ready for treatment. This finding ws associate to denial of HIV diagnosis which has been reported in several studies and has proven to be a huge barrier to ART initiation 62,63. Results of our study should be considered with limitations. Since readiness is a dynamic parameter that may change at any one time, some individuals may be classified as treatment ready yet they are not. Therefore, HIV clinic staff working with young people are encouraged to continue assessing ART readiness in order to address any barriers to treatment initiation. Secondly, responses to assess readiness were based on the question “How ready do you feel to start ART?” that was asked by the researcher. We are therefore not sure whether these individuals would start ART because they are really ready or because they have been told/asked by the health worker. Research assistants were encouraged to properly explain this question to participants. Thirdly, although interviews were confidential and normalization statements incorporated, there was potential for social desirability bias due to sensitivity of certain questions as well as the fact that data was self-reported hence analysis was done solely on data that was provided by respondents. To address this, interviews were conducted in privacy and made the respondents comfortable by assuring them confidentiality of their responses. Lastly, consecutive sampling has its limitations as a non-probability sampling technique. This was used because the study was done during school time and the HIV clinics register fewer clients (young people) when school is in session compared to holiday time.

Conclusion

Antiretroviral therapy has proven to be beneficial in prolonging the lives of HIV patients. There continues to be an increasing number of young people living with or acquiring HIV. Therefore, there is need to promote ART initiation through dissemination of the right HIV information to this vulnerable population. This study has shown that young people are ready and motivated to start ART which is a good indicator in this fight against HIV. Winning the fight needs total commitment of all patients right away from the start of treatment. Assessing ART readiness is therefore necessary for therapeutic success. This study has reported the key factors that can be leveraged to ensure timely ART initiation among young people. In addition, new and better tools to assist with determination of ART readiness among young people are needed. Finally, we recommend qualitative and prospective studies in future to better understand this concept of ART readiness.
  46 in total

1.  Antiretroviral therapy refusal among newly diagnosed HIV-infected adults.

Authors:  Ingrid T Katz; Thandekile Essien; Edmore T Marinda; Glenda E Gray; David R Bangsberg; Neil A Martinson; Guy De Bruyn
Journal:  AIDS       Date:  2011-11-13       Impact factor: 4.177

Review 2.  Assessing and achieving readiness to initiate HIV medication.

Authors:  Ola Nordqvist; Björn Södergård; Mary Patricia Tully; Anders Sönnerborg; Asa Kettis Lindblad
Journal:  Patient Educ Couns       Date:  2006-07

3.  Characterising unmet HIV prevention and treatment needs among young female sex workers and young men who have sex with men in Cameroon: a cross-sectional analysis.

Authors:  Anna L Bowring; Sosthenes Ketende; Amrita Rao; Iliassou Mfochive Njindam; Michele R Decker; Carrie Lyons; Daniel Levitt; Oluwasolape Olawore; Gnilane Turpin; Guy H Fako; Ghislaine Fouda; Ubald Tamoufe; Serge C Billong; Oudou Njoya; Anne-Cecile Zoung-Kanyi Bissek; Stefan Baral
Journal:  Lancet Child Adolesc Health       Date:  2019-05-16

4.  Expectancy and readiness-based predictors of treatment uptake among the urban poor living with HIV.

Authors:  Mallory O Johnson; Samantha E Dilworth; Eunice Stephens; Paula J Lum; Torsten B Neilands
Journal:  J Acquir Immune Defic Syndr       Date:  2011-12-15       Impact factor: 3.731

Review 5.  Factors impacting antiretroviral therapy adherence among human immunodeficiency virus-positive adolescents in Sub-Saharan Africa: a systematic review.

Authors:  N Ammon; S Mason; J M Corkery
Journal:  Public Health       Date:  2018-03-20       Impact factor: 2.427

6.  Doubts, denial and divine intervention: understanding delayed attendance and poor retention rates at a HIV treatment programme in rural Tanzania.

Authors:  Alison Wringe; Maria Roura; Mark Urassa; Joanna Busza; Veronica Athanas; Basia Zaba
Journal:  AIDS Care       Date:  2009-05

7.  Prevalence of, and barriers to the disclosure of HIV status to infected children and adolescents in a district of Ghana.

Authors:  Eric Gyamfi; Paul Okyere; Acheampong Enoch; Emmanuel Appiah-Brempong
Journal:  BMC Int Health Hum Rights       Date:  2017-04-08

8.  Adherence to antiretroviral therapy in a clinical cohort of HIV-infected children in East Africa.

Authors:  Rachel C Vreeman; Samuel O Ayaya; Beverly S Musick; Constantin T Yiannoutsos; Craig R Cohen; Denis Nash; Deo Wabwire; Kara Wools-Kaloustian; Sarah E Wiehe
Journal:  PLoS One       Date:  2018-02-21       Impact factor: 3.240

9.  "How am I going to live?": exploring barriers to ART adherence among adolescents and young adults living with HIV in Uganda.

Authors:  Sarah MacCarthy; Uzaib Saya; Clare Samba; Josephine Birungi; Stephen Okoboi; Sebastian Linnemayr
Journal:  BMC Public Health       Date:  2018-10-04       Impact factor: 3.295

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