Risk Factors for Viral Non-Suppression among People Living with HIV and Major Depressive Disorder in Uganda
Lilian Bulage1,2, Benedict Akimana3, Justine D. Namuli4, Seggane Musisi4, Josephine Birungi5, Micheal Etukoit5, Ramin Mojtabai6, Jean B. Nachega7,8,9, Edward J. Mills10, Etheldreda Nakimuli-Mpungu4*
1African Field Epidemiology Network, Kampala, Uganda.
2Uganda Public Health Fellowship Program, Kampala, Uganda.
3Ministry of Health, Butabika National Referral Mental Hospital, Kampala, Uganda.
4Department of Psychiatry, College of Health Sciences, Makerere University, Kampala, Uganda.
5The AIDS Support Organization (TASO), Kampala, Uganda.
6Department of Mental Health, Bloomberg’s School of Public Health, Johns Hopkins University, Baltimore, USA.
7Departments of Epidemiology, Infectious Diseases and Microbiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA.
8Center for Infectious Disease, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
9Departments of International Health and Epidemiology, Bloomberg’s School of Public Health, Johns Hopkins University, Baltimore, USA.
10Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada.
DOI: 10.4236/wja.2022.122004   PDF    HTML   XML   164 Downloads   879 Views   Citations

Abstract

Background: Several studies indicate that depression is associated with non-viral suppression among persons living with HIV (PLWH) using antiretroviral therapy (ART) worldwide. However, among PLWH with major depressive disorder, factors associated with non-viral suppression remain uncertain. We determined the prevalence and identified the factors associated with viral non-suppression among PLWH with major depressive disorder using ART in Northern Uganda. Method: A total of 30 primary care HIV clinics across three northern districts (Gulu, Kitgum, Pader) participated in the study. Using baseline data from the SEEK-GSP study, a cluster-randomized trial in northern Uganda (2016-2019) that involved 1140 PLWH with mild to moderate major depressive disorder; we examined the demographic, clinical, and psychosocial factors using standardized questionnaires. Data on viral load was abstracted from clinic records and dichotomized into suppressed (<1000 viral copies/mL) and non-suppressed (≥1000 viral copies/mL). We used generalized linear regression models to evaluate the factors associated with non-viral suppression. Results: We recruited 1140 PLWH. The viral non-suppression prevalence was 12.2%. In multivariable analysis, the only baseline psychosocial variable independently associated with non-viral suppression was suicide risk (PRR = 1.56, 95% CI: 1.05 - 2.32, p-value = 0.029). The prevalence odds for non-viral suppression were 56% higher among depressed PLWH with moderate to high suicide risk than those with low suicide risk. Among clinical variables, duration on ART ≥ 4 years was independently associated with non-viral suppression (PRR = 1.62, 95% CI: 1.09 - 2.32, p-value = 0.015). Conclusions: Suicide risk and longer duration on ART are associated with non-viral suppression among anti-retroviral therapy users with mild to moderate major depressive disorder in Uganda. As ART is scaled up across Sub-Saharan Africa, first-line psychological care for depression and its complications is urgently needed in established HIV treatment centers.

Share and Cite:

Bulage, L. , Akimana, B. , Namuli, J. , Musisi, S. , Birungi, J. , Etukoit, M. , Mojtabai, R. , Nachega, J. , Mills, E. and Nakimuli-Mpungu, E. (2022) Risk Factors for Viral Non-Suppression among People Living with HIV and Major Depressive Disorder in Uganda. World Journal of AIDS, 12, 43-54. doi: 10.4236/wja.2022.122004.

1. Introduction

The number of persons living with HIV (PLWH) accessing anti-retroviral therapy has rapidly increased over time in Sub-Saharan Africa. [1]. The revision of the ART eligibility criteria in 2015 by the World Health Organization (WHO) recommends treatment initiation for all the HIV-infected, regardless of their immunological status (dubbed “universal test and treat”). Furthermore, it facilitated the increase in the number of persons accessing ART [2], In Uganda, the number of PLWH accessing ART increased by more than 100,000 annually, from 313,117 in 2011 to 570,486 by late 2013 then 1,140,550 in 2018 [3]. Uganda has anestimated 1.3 million persons living with HIV (PLWH) translating to a 6.2% prevalence of the general population.

The rising numbers of patients accessing ART call for the sustainability of the treatment success and limits treatment development failure through monitoring patients once on treatment and this allows timely detection of treatment failures. WHO in July 2013 recommended viral load testing usage as the gold standard to monitor patients’ responses to ART [4]. Since the introduction of universal viral load testing in Africa, several countries including Uganda have embraced the recommendation.

According to the WHO, persons with ≥1000 copies/mL of plasma are regarded as virologically non-suppressed while those with <1000 copies/mL of plasma are virologically suppressed [4] [5]. Additionally, during 2014 the Joint United Nations Programme on HIV/AIDS (UNAIDS) set new ambitious targets towards the elimination of HIV that included a 90% diagnosis of HIV infected individuals with access for treatment to the same and with a 90% viral suppression to the treatment initiates [6].

Several studies have documented a strong association between depression and poor HIV treatment outcomes, particularly, ART adherence and viral non-suppression [7] [8]. Systematic reviews of published studies on prevalence of depression among ART users in Sub-Saharan Africa report estimates of 20% - 30% and indicate that depression is associated with poor ART adherence [9] [10].

However, studies of PLWH with depression are limited worldwide. In this sub-group of PLWH, we are uncertain of those factors that are associated with poor HIV treatment outcomes. In this paper, we determine the prevalence and factors associated with viral non-suppression among PLWH with major depressive disorder and on ART in northern Uganda.

2. Methods

Study Design, Population, and Setting

We conducted a cross-sectional analysis of 1140 PLWH who enrolled into the Social Emotional & Economic Empowerment through Knowledge of Group Support Psychotherapy (SEEK-GSP) trial (2016-2019) from primary care HIV clinics. To be eligible for the study, PLWH participants had to be ≥19 years, diagnosed with major depression as assessed with the Mini International Neuropsychiatric Interview (MINI) depression module [11], antidepressant naïve, and using ART. We excluded those with psychotic symptoms, high suicide risk, severe medical disorders such as pneumonia or active tuberculosis, hearing, and visual impairment.

The HIV clinics involved in the study were situated in three post-conflict northern districts (Gulu, Pader and Kitgum). Most clinics initiated their ART programs in 2005 and provide ART care free of charge. Viral load monitoring was introduced in the region in August 2014.

Recruitment Process

We used study teams that reflected the ethnicity of the target community at each of the participating primary health centers. The study teams worked with the trained lay health workers (LHWs), who are the first level of health care delivery in the country, to spread information about the study by word of mouth in villages within the study region. The study team conducted presentations in the community to explain study purpose and procedures to facilitate community understanding of the trial activities.

Data Collection

Trained research assistants worked with HIV care providers at each participating clinic to give health talks on depression to clients in the waiting area. Clients who felt that they had experienced depression symptoms as per the health talk were then invited for further evaluations using the Luo version of the 20-item self-reporting questionnaire [12] and the MINI depression module. Clients diagnosed with major depression were approached by research assistants who explained study procedures, determined eligibility, and then obtained informed consent. Each client who gave informed consent received baseline assessments with a standardized questionnaire.

Study Measures

Socio-demographic variables were assessed using a demographic questionnaire that asked about descriptive information including age, gender, number of children, education, and relationship and employment status. Employment status was categorized into ‘‘unemployed”, “employed”, and “peasant farmer”. Relationship status was categorized into ‘‘never married,” “married/living with a partner”, “divorced/separated”, or “widowed”. Education status was categorized into “primary/no formal education” and “secondary and above”.

Depression symptoms were assessed using the SRQ-20 [12]. Cross-cultural adaptation and validation of the SRQ-20 in PLWH in southern Uganda showed that an optimum cut-off point of six or higher had a sensitivity of 84% and a specificity of 93% for current depression. In this study sample, SRQ scores were modeled as a continuous variable with a Cronbach alpha reliability coefficient of 0.80.

The SAD PERSONS scale was used to assess the suicide risk [13]. The total score ranges from 0 to 10. Scores of <4 indicate low risk); scores of 5 - 7 indicate moderate risk; and scores of 8 - 10 indicate high risk. Post-traumatic stress symptoms were assessed using the locally adapted Harvard Trauma Questionnaire (HTQ) [14]. The total score ranges from 16 to 64 and a total score ≥ 36 is indicative of post-traumatic stress disorder.

Alcohol use was assessed using the 10-item alcohol use disorders identification test (AUDIT) [15]. The total score ranges from 0 to 40 and a score of ≥8 is indicative of hazardous use. AUDIT scores were modelled as a continuous variable. In this study population, the measure attained a Cronbach α of 0.95.

We used the modified coping inventory to assess a broad range of both positive and negative coping responses which establish how the study participants responded when they were confronted with difficult or stressful events in their lives [16]. Each coping strategy is assessed by a set of two questions. Responses were based on a four-point scale. For each coping strategy, the scores range from two to eight, with higher scores indicating frequent use of the coping strategy. A binary variable was created whereby frequent use of 1 or more coping skills was coded 1 while non-use was coded 0.

To measure internalized stigma, we used the brief AIDS-related stigma scale [17]. Responses were based on a four-point Likert scale. The scores ranged from 8 to 32 with high scores indicating higher levels of internalized stigma.

Adherence to antiretroviral therapy was assessed using one question “During the past week, how many days have you missed taking all your medication doses?” Adherence was calculated as the percent of days in the week the person missed all medications. Adherence “scores” were treated as a dichotomous variable. Those with ≥95% adherence were regarded as adherent (coded 1) while those with <95% adherence were regarded as non-adherent (coded 0) to simplify their interpretation for the descriptive analyses

HIV clinics routinely assess viral load of clients once a year. Measures of viral load were obtained from the medical charts of study participants but the actual assay used to measure viral load in the laboratory was not recorded. Viral load was treated as a categorical variable indicating suppression (coded 1) or non-suppression of viral load (coded 0).

HIV clinics routinely screen for tuberculosis. Medical charts were reviewed to determine whether or not study participants had received a diagnosis of Tuberculosis.

Statistical Analysis

We used STATA version 15 for analysis. We performed descriptive statistics to describe the demographic, clinical, and psychosocial characteristics of the study population. Due to violations of normality in the dependent variable, we opted to use generalized linear models with Poisson regression to evaluate bivariate and multivariate associations between non-viral suppression and other study variables. Statistical significance was considered at two-tailed p ≤ 0.05).

Regulatory Approvals

We sought and obtained approval from both the Makerere University College of Health Sciences Research Ethics Committee and the Uganda National Council of Science and Technology. The study protocol is also registered in the Pan African Clinical Trials Registry (PACTR201608001738234).

3. Results

Socio-demographic and clinical characteristics of study participants

A total of 1473 PLWH were screened and 1140 were recruited. Female participants (612/1140, 54%) were slightly more than males (528/1140, 46%). Participants’ age ranged from 19 to 80 years, with a mean of 38.5 (SD 10.9) years. The majority (622/1140, 55%) earned a living as peasant farmers and had a primary level education or less (983/1140, 86%). Most participants met criteria for major depression (1105/1140, 97%) at baseline, and reported moderate suicide risk (599/1140, 53%). The prevalence of viral non-suppression was 12%.

Risk factors for viral non-suppression

At bivariate analysis, long duration on ART (PRR = 1.65, 95% CI: 1.15 - 2.38, p-value = 0.007) and moderate to high suicide risk (PRRcrude = 1.58, 95% CI: 1.07 - 2.32, p-value = 0.022) increased the prevalence odds for virological non-suppression. Sex, age-group, employment status, education level, marital status, adherence to ART, history of TB infection and treatment, hazardous alcohol use, post-traumatic stress disorder (PTSD), enacted stigma, negative copying skills, and social support were not statistically associated with viral non-suppression (Table 1).

Table 1. Risk factors for viral non-suppression among HIV patients with major depressive disorder in Gulu, Pader, and Kitgum districts, Northern Uganda (2016-2019).

*Either has a job or earns from peasant farming.

In a multivariate analysis, suicide risk emerged as the only psychosocial variable independently associated with non-viral suppression (PRR = 1.56, 95% CI: 1.05 - 2.32, p-value = 0.029). The prevalence odds for non-viral suppression were 56% higher among depressed PLWH with moderate to high suicide risk than those with low suicide risk. Among clinical variables, only duration of ART use > 4 years was independently associated with non-viral suppression (PRR = 1.62, 95% CI: 1.09 - 2.32). The prevalence odds for non-viral suppression were 62% higher among depressed PLWH who had used ART for >4 years than those who has used ART for ≤4 years.

4. Discussion

We found the prevalence of viral non-suppression at 12% among PLWH with major depressive disorder and on ART. The prevalence odds of viral non-suppression were higher among PLWH with moderate to high suicide risk and those who had used ART for a long duration of ≥4 years.

Although depression in PLWH has been associated with a lower likelihood of adherence to ART probably leading to viral non-suppression, our study revealed a relatively low viral non-suppression prevalence which is also similar to the national prevalence of 13% among the general population of PLWH as indicated in the Ugandan study based on routinely generated viral load monitoring program data from the entire country [18].

Factors that increase the suicide risk include male gender, young age (15 - 24 years), previous suicide attempt, alcohol and drug use, depression, presence of psychoses, lack of social support and presence of chronic illness [19]. Accumulation of these factors raises the risk of suicide. None of these factors bythemselves was associated with viral suppression in our study. But, when combined in a suicide risk score [13], we found that the higher the suicide risk score the higher the prevalence odds for non-viral suppression.

This finding is in keeping with prior research in high income countries. López et al. studied 648 PLWH and found that individuals who endorsed suicidality were more likely to have unsuppressed viral loads [20]. Similarly, Durham et al. conducted a cross-sectional survey of 6706 PLWH in the United States and found that increased risk for suicide was associated with unsuppressed viral load [21]. Also, Quinlivan et al. conducted a cross-sectional analysis among 4099 PLWH in the United Statesand foundan association between moderate to high suicide risk and unsuppressed viral loads [22]. To our knowledge, this study is the first to demonstrate the association between suicide risk and unsuppressed viral load in Sub-Saharan Africa.

An accumulation of suicide risk factors indicates severer depressive disorder [22]. Given that there is no mental healthcare in HIV treatment centers in northern Uganda, it’s possible that depression progressed to severer states over time. This and other factors such as anti-retroviral drug resistance may explain why study participants with a longer duration on ART were also more likely to have non-viral suppression. This finding is not unique to our study.

Some studies of viral suppression in other HIV populations have also reported an association between long duration of ART and non-viral suppression [23] [24]. In Uganda, a study based on routinely generated viral load monitoring program data from the entire country reported a similar association [17]. On the contrary, a study conducted in South Africa found that a shorter duration on ART was associated with viral non-suppression [25]. An elevated viral load may indicate either poor adherence or drug resistance [26] [27]. In our study sample, adherence rates were quite high at 78% and ART adherence was not associated with viral non-suppression. Severe depression symptoms or drug resistance may be playing a role in viral non-suppression.

In our study, it is possible that our patients were experiencing treatment resistance, given that they had been on ART for a long duration. This finding calls for Ministry of health to consider adopting resistance testing for patients with elevated viral load.

Although stigma, hazardous alcohol usage, adherence to ART have been widely documented to influence viral non-suppression [28] [29], there was no statistically significant relationship between each of these three factors and viral non-suppression. This could be explained by the low burden of these factors in this population of depressed PLWH. Further, substantial resources have been invested into the post-conflict districts to allow livelihood recovery. The government of Uganda, through the peace, recovery, and development plan for Northern Uganda has made several investments in the region [30]. The livelihood programs might have had an impact on the overall wellbeing of the entire community including PLWH.

Clinical implications

Our findings call for critical need for investment into mental health care services in Uganda with more focus on the post-conflict districts of Northern Uganda to ensure routine assessment of depression and suicide risk among PLWH. Increased prevalence odds of viral non-suppression among chronic ART users with major depressive disorder requires additional investment into the viral load testing program to allow routine assessment for treatment resistance.

Limitations

We assess viral non-suppression based on routinely generated HIV/AIDS care program data at health care facilities. Although we were able to access the patients’ medical charts to obtain viral load testing results, the charts did not indicate the specific assay used to derive the results. According to the Uganda MOH viral load monitoring guidelines, viral non-suppression is defined as having ≥1000 copies of viral RNA/ml of blood for plasma. However, studies have shown that this is a conservative threshold to define viral non-suppression that can lead to an underestimation of those who experiencing ART failure [31] [32].

5. Conclusion

Suicide risk and long-term ART usage are associated with viral non-suppression among anti-retroviral therapy users with mild to moderate major depressive disorder in Uganda. As ART is scaled up across Sub-Saharan Africa, greater attention must be paid to integrating first-line psychological interventions for depression treatment into routine HIV care.

Acknowledgements

The SEEK-GSP study was funded by Grand Challenges Canada (Grant #0770-05) and the MQ Mental Health Fellowship Award (Grant #MQ15FIP100024).

We thank Kevin Masaba for assistance in preparation of this manuscript.

Contributors

EN-M, JDN, JO, SM, SN, RM, JB, EM, and JN conceptualized the study and EN-M sought and obtained funding. EM and OH conducted statistical analyses. FS and CM conducted the cost-effectiveness analyses. EN-M and JO managed the literature searches. EN-M and LB wrote the initial manuscript. SM, RM, HM, ME, EM, and JN revised the manuscript critically for important intellectual content. All authors contributed to the final manuscript.

Funding

MQ Transforming Mental Health; Grand Challenges Canada.

Conflicts of Interest

EN-M holds copyright for group support psychotherapy manual. Other authors have nothing to disclose.

References

[1] World Health Organization (2018) Antiretroviral Therapy Coverage in Sub-Saharan Africa.
https://www.who.int/hiv/data/art_coverage/en/
[2] World Health Organization, Department of HIV/AIDS (2015) Guideline on When to Start Antiretroviral Therapy and on Pre-Exposure Prophylaxis for HIV. World Health Organization, Geneva.
http://www.ncbi.nlm.nih.gov/books/NBK327115/
[3] UAC (2018) Uganda HIV/AIDS Country Progress Report July 2016-June 2017. Commission UA, Kampala.
[4] World Health Organization (2016) Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection (2016).
http://www.who.int/hiv/pub/arv/arv-2016/en/
[5] Loutfy, M.R., Wu, W., Letchumanan, M., Bondy, L., Antoniou, T., Margolese, S., et al. (2013) Systematic Review of HIV Transmission between Heterosexual Serodiscordant Couples Where the HIV-Positive Partner Is Fully Suppressed on Antiretroviral Therapy. PLoS ONE, 8, Article ID: e55747.
https://doi.org/10.1371/journal.pone.0055747
[6] UNAIDS (2014) Joint United Nations Programme on HIV/AIDS, Joint United Nations Programme on HIV/Aids. 90-90-90: An Ambitious Treatment Target to Help End the AIDS Epidemic. Geneva.
[7] Passchier, R.V., Abas, M.A., Ebuenyi, I.D. and Pariante, C.M. (2018) Effectiveness of Depression Interventions for People Living with HIV in Sub-Saharan Africa: A Systematic Review & Meta-Analysis of Psychological & Immunological Outcomes. Brain, Behavior, and Immunity, 73, 261-273.
https://doi.org/10.1016/j.bbi.2018.05.010
[8] Sin, N.L. and DiMatteo, M.R. (2014) Depression Treatment Enhances Adherence to Antiretroviral Therapy: A Meta-Analysis. Annals of Behavioral Medicine, 47, 259-269.
https://doi.org/10.1007/s12160-013-9559-6
[9] Bernard, C., Dabis, F. and de Rekeneire, N. (2017) Prevalence and Factors Associated with Depression in People Living with HIV in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. PLoS ONE, 12, Article ID: e0181960.
https://doi.org/10.1371/journal.pone.0181960
[10] Nakimuli-Mpungu, E., Bass, J.K., Alexandre, P., Mills, E.J., Musisi, S., Ram, M., Katabira, E. and Nachega, J.B. (2012) Depression, Alcohol Use and Adherence to Antiretroviral Therapy in Sub-Saharan Africa: A Systematic Review. AIDS and Behavior, 16, 2101-2118.
https://doi.org/10.1007/s10461-011-0087-8
[11] Sheehan, D., Lecrubier, Y., Sheehan, K., Amorim, P., Janavs, J., Weiller, E., et al. (1998) The Mini International Neuropsychiatric Interview (M.I.N.I.): The Development and Validation of a Structured Diagnostic Psychiatric Interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59, 22-33; quiz 34-57.
[12] Beusenberg, M., Orley, J. and World Health Organization (1994) A User’s Guide to the Self-Reporting Questionnaire (SRQ). World Health Organization, Geneva.
[13] Patterson, W.M., Dohn, H.H., Bird, J. and Patterson, G.A. (1983) Evaluation of Suicidal Patients: The SAD PERSONS Scale. Psychosomatics, 24, 343-345+348-349.
https://doi.org/10.1016/S0033-3182(83)73213-5
[14] Mollica, R., mcdonald, L., massagli, M. and silove, D. (2004) Measuring Trauma, Measuring Torture: Instructions and Guidance on the Utilization of the Harvard Program in Refugee Trauma’s Versions of the Hopkins Symptom Checklist-25 (HSCL-25) and the Harvard Trauma Questionnaire (HTQ). Harvard Program in Refugee Trauma, Cambridge, MA.
[15] Saunders, J.B., Aasland, O.G., Babor, T.F., de la Fuente, J.R. and Grant, M. (1993) Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction, 88, 791-804.
https://doi.org/10.1111/j.1360-0443.1993.tb02093.x
[16] Carver, C., Scheier, M. and Weintraub, J. (1989) Assessing Coping Strategies: A Theoretically Based Approach. Journal of Personality and Social Psychology, 56, 267-283.
https://doi.org/10.1037/0022-3514.56.2.267
[17] Kalichman, S.C., Simbayi, L.C., Jooste, S., Toefy, Y., Cain, D., Cherry, C., et al. (2005) Development of a Brief Scale to Measure AIDS-Relatedstigma in South Africa. AIDS and Behavior, 9, 135-143.
https://doi.org/10.1007/s10461-005-3895-x
[18] Bulage, L., Ssewanyana, I., Nankabirwa, V., Nsubuga, F., Kihembo, C., Pande, G., et al. (2017) Factors Associated with Virological Non-Suppression among HIV-Positive Patients on Antiretroviral Therapy in Uganda, August 2014-July 2015. BMC Infectious Diseases, 17, Article No. 326.
https://doi.org/10.1186/s12879-017-2428-3
[19] Mars, B., Burrows, S., Hjelmeland, H. and Gunnell, D. (2014) Suicidal Behaviour across the African Continent: A Review of the Literature. BMC Public Health, 14, Article No. 606.
https://doi.org/10.1186/1471-2458-14-606
[20] López, J.D., Shacham, E. and Brown, T. (2018) Suicidal Ideation Persists among Individuals Engaged in HIV Care in the Era of Antiretroviral Therapy. AIDS and Behavior, 22, 800-805.
https://doi.org/10.1007/s10461-016-1666-5
[21] Durham, M.D., Armon, C., Mahnken, J.D., Novak, R.M., Palella Jr., F.J., Tedaldi, E., Buchacz, K. and HOPS Investigators (2020) Rates of Suicidal Ideation among HIV-Infected Patients in Care in the HIV Outpatient Study 2000-2017, USA. Preventive Medicine, 134, Article ID: 106011.
https://doi.org/10.1016/j.ypmed.2020.106011
[22] Quinlivan, E.B., Gaynes, B.N., Lee, J.S., Heine, A.D., Shirey, K., Edwards, M., Modi, R., Willig, J. and Pence, B.W. (2017) Suicidal Ideation Is Associated with Limited Engagement in HIV Care. AIDS and Behavior, 21, 1699-708.
https://doi.org/10.1007/s10461-016-1469-8
[23] Diress, G., Dagne, S., Alemnew, B., Adane, S. and Addisu, A. (2020) Viral Load Suppression after Enhanced Adherence Counseling and Its Predictors among High Viral Load HIV Seropositive People in North Wollo Zone PUBLIC Hospitals, Northeast Ethiopia, 2019: Retrospective Cohort Study. AIDS Research and Treatment, 2020, Article ID: 8909232.
https://doi.org/10.1155/2020/8909232
[24] Bukenya, D., Mayanja, B.N., Nakamanya, S., Muhumuza, R. and Seeley, J. (2019) What Causes Non-Adherence among Some Individuals on Long Term Antiretroviral Therapy? Experiences of Individuals with Poor Viral Suppression in Uganda. AIDS Research and Therapy, 16, Article No. 2.
https://doi.org/10.1186/s12981-018-0214-y
[25] Joseph Davey, D., Abrahams, Z., Feinberg, M., Prins, M., Serrao, C., Medeossi, B., et al. (2018) Factors Associated with Recent Unsuppressed Viral Load in HIV-1-Infected Patients in Care on First-Line Antiretroviral Therapy in South Africa. International Journal of STD & AIDS, 29, 603-610.
https://doi.org/10.1177/0956462417748859
[26] Pujades-Rodríguez, M., O’Brien, D., Humblet, P. and Calmy, A. (2008) Second-Line Antiretroviral Therapy in Resource-Limited Settings: The Experience of Médecins Sans Frontières. AIDS, 22, 1305-1312.
https://doi.org/10.1097/QAD.0b013e3282fa75b9
[27] Mee, P., Fielding, K.L., Charalambous, S., Churchyard, G.J. and Grant, A.D. (2008) Evaluation of the WHO Criteria for Antiretroviral Treatment Failure among Adults in South Africa. AIDS, 22, 1971-1977.
https://doi.org/10.1097/QAD.0b013e32830e4cd8
[28] Kemp, C.G., Lipira, L.L., David, H.U., Nevin, P.E., Turan, J., Simoni, J.M., Cohn, S.E., Mieoak, B.A., Berzins, B., Andrasik, M. and Mugavero, M. (2019) HIV Stigma and Viral Load among African-American Women Receiving Treatment for HIV: A Longitudinal Analysis. AIDS, 33, 1511-1519.
https://doi.org/10.1097/QAD.0000000000002212
[29] Barai, N., Monroe, A., Lesko, C., Lau, B., Hutton, H., Yang, C., Alvanzo, A., McCaul, M.E. and Chander, G. (2017) The Association between Changes in Alcohol Use and Changes in Antiretroviral Therapy Adherence and Viral Suppression among Women Living with HIV. AIDS and Behavior, 21, 1836-1845.
https://doi.org/10.1007/s10461-016-1580-x
[30] Birner, R., Cohen, M.J., Ilukor, J., Muhumuza, T., Schindler, K. and Mulligan, S. (2011) Rebuilding Agricultural Livelihoods in Post-Conflict Situations: What Are the Governance Challenges? The Case of Northern Uganda. International Food Policy Research Institute, Washington DC.
[31] Hosseinipour, M., Nelson, J.A., Trapence, C., Rutstein, S.E., Kasende, F., Kayoyo, V., Kaunda-Khangamwa, B., Compliment, K., Stanley, C., Cataldo, F. and van Lettow, M. (2017) Viral Suppression and HIV Drug Resistance at 6 Months among Women in Malawi’s Option B+ Program: Results from the PURE Malawi Study. Journal of Acquired Immune Deficiency Syndromes, 75, S149-S155.
https://doi.org/10.1097/QAI.0000000000001368
[32] Labhardt, N.D., Bader, J., Lejone, T.I., et al. (2016) Should Viral Load Thresholds Be Lowered?: Revisiting the WHO Definition for Virologic Failure in Patients on Antiretroviral Therapy in Resource-Limited Settings. Medicine, 95, Article No. e3985.
https://doi.org/10.1097/MD.0000000000003985

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.