Suggestions
Journal Information
Visits
331
Original Article
Full text access

Trends and disparities in retention to antiretroviral therapy of people living with HIV from 2014 to 2022 in Brazil: a population-based study

Visits
331
Marcelo A. de Freitasa,
Corresponding author
marcelofreitas2110@outlook.com

Corresponding author.
, Rosana E.G.G. Pinhob, Ana Roberta P. Pascomb, Angelica E. Mirandaa
a Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Doenças Infecciosas, Vitoria, ES, Brazil
b Ministério da Saúde, Brasília, DF, Brazil
This item has received
Article information
Abstract
Full Text
Bibliography
Download PDF
Statistics
Figures (6)
fig0001
fig0002
fig0003
fig0004
fig0005
fig0006
Tables (1)
Table 1. Characteristics of PLWHA whose ARV dispensations were analyzed in the study, according to time of ART initiation, sex, race/color, age, region and schooling. Brazil, 2014 to 2022.
Tables
Abstract
Introduction

Retention to antiretroviral therapy (ART) is critical for controlling HIV/AIDS and reducing mortality rates worldwide. In Brazil, although ART is widely accessible, challenges remain in retaining individuals on treatment over time. This study aims to analyze trends in ART retention from 2014 to 2022, addressing gaps in current national data.

Methods

This is a population-based, cross-sectional study, that utilized data from the Brazilian national ART monitoring system to assess retention rates at 6-, 12-, 24-, 36-, 48-, and 60-months post-ART initiation. The analysis included individuals aged 15-years or older, with retention defined as no more than a 28-day delay in drug distribution. Descriptive analyses of retention from 2014 to 2022 were conducted using R version 4.0 (R Core Team, 2020) and SPSS version 21 (IBM Corp.)

Results

The study observed over 3.4 million ART distributions, revealing that retention rates steadily declined over time, with the lowest rates observed at 60-months (71% in 2022). Men had consistently higher retention rates compared to women (79% vs. 73% in 2022). Lower retention was found among younger age groups (74% in 2022), indigenous populations (67% in 2022), individuals with lower education levels (72% in 2022), and those residing in northern (74% in 2022) regions of Brazil.

Conclusions

The study highlights considerable retention challenges, particularly after extended periods on ART, with notable disparities across demographic and regional groups. The findings suggest the need of interventions to improve ART retention, especially among vulnerable populations, to reach the 95–95–95 targets in Brazil. The introduction of multi-month drug dispensing and other strategies implemented during the COVID-19 pandemic may have helped stabilize retention rates in recent years.

Keywords:
HIV
AIDS
Retention
Antiretroviral therapy
Full Text
Introduction

Antiretroviral Therapy (ART) has transformed the landscape of HIV treatment, significantly reducing mortality and improving the quality of life for people living with HIV/AIDS (PLWHA) worldwide. The introduction of ART marked a pivotal moment in the global fight against HIV, offering hope not only for individual survival but also for broader public health goals, such as viral suppression and epidemic control.1,2 However, the full potential of ART can only be realized if individuals are consistently retained in treatment.3–5 Retention in care ensures long-term viral suppression, prevents disease progression, and reduces transmission, yet achieving high retention rates remains a persistent challenge across various regions and demographic groups.6–11

In low- and middle-income countries, where the burden of HIV is disproportionately high, retention to ART is critically influenced by socioeconomic, demographic, and systemic factors. A 2016 meta-analysis estimated retention rates at 12-, 24-, and 36-months in these countries, revealing stark regional disparities.12 While these trends highlight the importance of sustained ART engagement, country-specific analyses are essential to uncover local barriers and tailor effective interventions, particularly in settings like Brazil, which has a longstanding universal ART policy but still faces unique implementation challenges.

Although ART retention in Brazil has been reported in the past by Ministry of Health, it has not fully captured the nuances of treatment retention over time, particularly considering the growing adoption of multi-month dispensing strategies.13 Furthermore, limited research has explored how ART retention varies by demographic factors such as age, sex, race, education, and region, leaving significant gaps in our understanding of retention dynamics in the country.

Understanding trends and disparities in retention to Antiretroviral Therapy (ART) across different sociodemographic groups is crucial for informing public health strategies. The findings of this study can support the Brazilian Ministry of Health and other stakeholders in designing and implementing more effective, equity-focused interventions. By identifying populations at greater risk of disengagement from care, such as specific age groups, racial/ethnic communities, or geographic regions, targeted policies and tailored retention strategies can be developed to improve outcomes and advance progress toward national and global HIV targets. Therefore, this study aims to analyze the trends in ART retention from 2014 to 2022 in Brazil, addressing gaps in current national data.

MethodsStudy design and data source

This is a population-based, cross-sectional study, using secondary data from the Sistema de Controle Logístico de Medicamentos (SICLOM), the national information system for antiretroviral (ARV) dispensation in Brazil, which is an electronic, web-based platform that enables real-time registration and monitoring of information related to the distribution of medications. This includes patient registration, inventory control at health facilities, and the generation of reports to support the management and planning of public health actions. SICLOM stores data on all PLWHA who receive ART in the country. ARV dispensation is conditional upon the mandatory input of patient data into the system, making SICLOM a comprehensive source of treatment data.14

Because all ARVs for HIV treatment are provided exclusively by the public health system, regardless of whether patients are followed in public or private services and are not available for purchase outside this system (e.g., pharmacies), SICLOM captures information on the entire population of PLWHA on ART in Brazil. Additionally, SICLOM tracks dispensations nationally, ensuring continuity of data even when patients transfer between regions.

Study population

No sample size was defined, as the study included all PLWHA aged 15-years or older who had at least one ART dispensation recorded in SICLOM between January 1, 2014, and December 31, 2022. This comprehensive inclusion ensured national representativeness.

ART retention assessment

ART retention was evaluated at six time points after ART initiation: 6-, 12-, 24-, 36-, 48-, and 60-months. For each individual and each year of the analysis period, we determined the exact date corresponding to these intervals from ART initiation.

Retention status was determined by analyzing the timing of the most recent ARV dispensation prior to each time point. The interval between this dispensation and the target date was calculated. Information on the type of dispensation, whether monthly or multi-month (e.g., 30-, 60-, or 90-days), was considered, as this is recorded in SICLOM.

Following the Global AIDS Monitoring (GAM) framework, individuals were considered retained on ART if they had no delay or a delay of 28-days or less in their ART pickup at the specified time points (6-, 12-, 24-, 36-, 48-, or 60-months after ART initiation).15

Data analysis

Data were organized by duration since ART initiation (at each time interval) and stratified by sex, race/color, age, region, and level of education. Descriptive trend analyses were conducted to explore retention patterns over time and across population subgroups. Available data were aggregated data on the number of patients using ART each year. No nominal data were used in the analysis.

The study used aggregated data on the annual number of patients receiving antiretroviral therapy (ART), without any individual-level (nominal) identification. All reported cases were included in the analysis; however, because the data are not linked at the individual level, it was not possible to determine whether the same patients were represented across multiple years. The data used are publicly available at: https://www.gov.br/aids/pt-br/indicadores-epidemiologicos/painel-de-monitoramento/painel-integrado-de-monitoramento-do-cuidado-do-hiv. Cases with missing information were classified as “unknown”.

A descriptive time trend analysis was conducted, stratified by sex, race/skin color, age, geographic region, and years of schooling. Descriptive analyses of retention from 2014 to 2022 were conducted using R version 4.0 (R Core Team, 2020) and SPSS version 21 (IBM Corp.). The data extraction for this study occurred between April 1 and April 7, 2023.

Ethical considerations

This study was approved by the Ethics Committee of the Federal University of Espírito Santo (Approval n° 4.187.656/2020), with authorization from the Brazilian Ministry of Health. The requirement for informed consent was waived due to the use of anonymized secondary data. Data confidentiality was ensured through anonymization and the generation of unique personal identifiers. Access to identifiable data and the anonymization process were restricted to one author, also the designated data analyst and statistician responsible for managing the SICLOM database within the Ministry of Health.

Results

A total of 3404,469 ARV dispensations were analyzed, with similar distribution among the different cut-offs of time from ART initiation analyzed: 6-months (18 %), 12-, 24- and 36-months (17 % each), 48-months (16 %) and 60-months (15 %). Most of the dispensations analyzed were made to male (68 %), black individuals (43 %), with a predominance of people aged 30- to 49-years (54 %). Regarding the region, 42 % of the ARV dispensations analyzed occurred in the Southeast region, followed by the Northeast (21 %) and South (20 %) regions. In addition, 23 % of ARV dispensations were done to individuals with 8- to 11-years of schooling, followed by 0- to 7-years (22 %) and 12 and more years (17 %). The proportion of missing data was <1 % for all variables, except for race/color (19 %) and education (39 %). The characteristics of PLWHA whose ARV dispensations were analyzed in our study are presented in Table 1.

Table 1.

Characteristics of PLWHA whose ARV dispensations were analyzed in the study, according to time of ART initiation, sex, race/color, age, region and schooling. Brazil, 2014 to 2022.

Characteristics20142015201620172018
n  %  n  %  n  %  n  %  n  % 
Time after ART initiation6 months  65,479  22 %  71,032  21 %  71,059  19 %  67,640  17 %  69,910  17 % 
12 months  55,778  18 %  71,550  21 %  73,108  20 %  67,776  18 %  70,046  17 % 
24 months  51,466  17 %  55,778  17 %  71,558  20 %  73,100  19 %  67,776  17 % 
36 months  42,482  14 %  51,466  15 %  55,790  15 %  71,546  18 %  73,100  18 % 
48 months  43,766  14 %  42,482  13 %  51,471  14 %  55,785  14 %  71,546  18 % 
60 months  44,977  15 %  43,766  13 %  42,566  12 %  51,387  13 %  55,785  14 % 
SexMale  187,280  62 %  214,091  64 %  239,690  66 %  260,176  67 %  281,096  69 % 
Female  116,666  38 %  121,980  36 %  125,858  34 %  127,055  33 %  127,063  31 % 
Missing  0 %  0 %  0 %  0 %  0 % 
Race/colorWhite/yellow  124,912  41 %  135,812  40 %  145,122  40 %  150,433  39 %  156,365  38 % 
Black  113,837  37 %  131,251  39 %  148,837  41 %  162,092  42 %  175,710  43 % 
Indigenous  500  0 %  551  0 %  595  0 %  688  0 %  743  0 % 
Missing  64,699  21 %  68,460  20 %  70,998  19 %  74,021  19 %  75,345  18 % 
Age15 to 17 y.o.  1792  1 %  1986  1 %  2136  1 %  1998  1 %  1807  0 % 
18 to 24 y.o.  21,136  7 %  28,060  8 %  34,840  10 %  39,407  10 %  43,499  11 % 
25 to 29 y.o.  37,444  12 %  45,771  14 %  53,437  15 %  59,169  15 %  66,257  16 % 
30 to 49 y.o.  178,862  59 %  192,301  57 %  203,696  56 %  212,285  55 %  220,662  54 % 
50+ y.o.  59,989  20 %  63,576  19 %  67,272  18 %  70,462  18 %  72,217  18 % 
Missing  4725  2 %  4380  1 %  4171  1 %  3913  1 %  3721  1 % 
RegionNorth  24,645  8 %  29,845  9 %  35,699  10 %  39,237  10 %  39,068  10 % 
Northeast  55,152  18 %  63,261  19 %  69,593  19 %  75,586  20 %  83,513  20 % 
Southeast  138,892  46 %  147,907  44 %  157,255  43 %  163,971  42 %  171,267  42 % 
South  64,548  21 %  71,552  21 %  77,670  21 %  80,607  21 %  83,972  21 % 
Mid-West  19,753  6 %  22,614  7 %  24,430  7 %  26,853  7 %  29,322  7 % 
Missing  958  0 %  895  0 %  905  0 %  980  0 %  1021  0 % 
Schooling0 to 7 years  77,397  25 %  81,247  24 %  83,458  23 %  86,089  22 %  87,557  21 % 
8 to 11 years  63,207  21 %  71,266  21 %  79,282  22 %  86,664  22 %  92,528  23 % 
12+ years  40,604  13 %  47,840  14 %  54,870  15 %  60,690  16 %  66,314  16 % 
Missing  122,740  40 %  135,721  40 %  147,942  40 %  153,791  40 %  161,764  40 % 
Characteristics2019202020212022Total
n  %  n  %  n  %  n  %  n  % 
Time after ART initiation6 months  68,785  16 %  61,925  15 %  56,053  15 %  63,970  16 %  595,853  18 % 
12 months  68,558  16 %  68,349  17 %  55,129  14 %  61,958  16 %  592,252  17 % 
24 months  70,046  17 %  68,564  17 %  68,343  18 %  55,129  14 %  581,760  17 % 
36 months  67,776  16 %  70,052  17 %  68,558  18 %  68,343  18 %  569,113  17 % 
48 months  73,100  17 %  67,782  17 %  70,046  18 %  68,558  18 %  544,536  16 % 
60 months  71,546  17 %  73,116  18 %  67,766  18 %  70,046  18 %  520,955  15 % 
SexMale  294,696  70 %  292,455  71 %  278,985  72 %  283,075  73 %  2331,544  68 % 
Female  125,110  30 %  117,324  29 %  106,897  28 %  104,909  27 %  1072,862  32 % 
Missing  0 %  0 %  13  0 %  20  0 %  63  0 % 
Race/colorWhite/yellow  156,088  37 %  148,797  36 %  135,865  35 %  132,956  34 %  1286,350  38 % 
Black  187,149  45 %  189,359  46 %  183,237  47 %  189,461  49 %  1480,933  43 % 
Indigenous  736  0 %  734  0 %  705  0 %  701  0 %  5953  0 % 
Missing  75,838  18 %  70,898  17 %  66,088  17 %  64,886  17 %  631,233  19 % 
Age15 to 17 y.o.  1779  0 %  1650  0 %  1425  0 %  1391  0 %  15,964  0 % 
18 to 24 y.o.  45,984  11 %  45,197  11 %  42,127  11 %  41,939  11 %  342,189  10 % 
25 to 29 y.o.  70,793  17 %  72,466  18 %  71,365  18 %  73,418  19 %  550,120  16 % 
30 to 49 y.o.  224,140  53 %  216,335  53 %  202,594  52 %  202,271  52 %  1853,146  54 % 
50+ y.o.  73,729  18 %  71,219  17 %  65,833  17 %  66,590  17 %  610,887  18 % 
Missing  3386  1 %  2921  1 %  2551  1 %  2395  1 %  32,163  1 % 
RegionNorth  41,440  10 %  41,576  10 %  40,539  11 %  42,225  11 %  334,274  10 % 
Northeast  89,553  21 %  90,226  22 %  86,513  22 %  89,239  23 %  702,636  21 % 
Southeast  173,363  41 %  165,221  40 %  153,445  40 %  151,813  39 %  1423,134  42 % 
South  83,732  20 %  80,187  20 %  73,440  19 %  72,250  19 %  687,958  20 % 
Mid-West  30,622  7 %  31,237  8 %  30,606  8 %  31,213  8 %  246,650  7 % 
Missing  1101  0 %  1341  0 %  1352  0 %  1264  0 %  9817  0 % 
Schooling0 to 7 years  87,773  21 %  83,084  20 %  77,399  20 %  75,906  20 %  739,910  22 % 
8 to 11 years  97,209  23 %  98,644  24 %  95,956  25 %  98,684  25 %  783,440  23 % 
12+ years  69,987  17 %  70,652  17 %  73,065  19 %  78,838  20 %  562,860  17 % 
Missing  164,842  39 %  157,408  38 %  139,475  36 %  134,576  35 %  1318,259  39 % 

The proportion of PLWHA retained to ART have progressively decreased from 6- to 60-months after ART initiation in all years analyzed, reaching 87 % for 6-months versus 71 % for 60-months in 2022. At the same time, an increase was observed from 2014 to 2018 (81 % to 87 % for 6-months vs. 64 % to 69 % for 60-months), with relative stabilization from 2019 to 2022, as shown in Fig. 1.

Fig. 1.

Proportion of people retained on ART, according to time of treatment initiation. Brazil, 2014 to 2022.

Higher proportion of individuals retained on ART were observed among men, ranging from 75 % in 2014 to 79 % in 2022, while in women it was 67 % and 73 %, respectively (Fig. 2).

Fig. 2.

Proportion of people retained on ART, according to sex. Brazil, 2014 to 2022.

Between 2014 and 2018, there was an increase in the proportion of people retained on ART in the 15 to 17 (60 % to 74 %) and in the 18 to 24 age group (64 % to 76 %). The proportion of individuals retained remained around 75 % in the 25 to 29-years, 30- to 49-years, and over 50-years age groups throughout the period (Fig. 3).

Fig. 3.

Proportion of people retained on ART, according to age. Brazil, 2014 to 2022.

Important differences were observed in relation to race/color, with lower retention levels observed in the indigenous (from 51 % in 2014 to 67 % in 2022) and black population (from 69 % in 2014 to 76 % in 2022), when compared to the white/yellow population (from 76 % in 2014 to 81 % in 2022), throughout the analyzed period (Fig. 4).

Fig. 4.

Proportion of people retained on ART, according to race/color. Brazil, 2014 to 2022.

Individuals with higher levels of education presented higher levels of retention throughout the period, with 86 % of people retained on ART among those with 12-years of schooling or more, versus 72 % among those with 0- to 7-years of schooling, in 2022. (Fig. 5).

Fig. 5.

Proportion of people retained on ART, by years of study. Brazil, 2014 to 2022.

Some regional differences were observed, with the Southeast, South and Mid-West regions presenting the highest proportions of PLHIV retained to ART (78 %, 79 % and 78 % respectively, in 2022) followed by the Northeast and North regions (74 % and 75 % respectively, in 2022), as shown in Fig. 6.

Fig. 6.

Proportion of people retained on ART, by Region. Brazil, 2014 to 2022.

Discussion

Our findings revealed a significant and progressive decrease in ART retention over time, reaching concerning levels at 60-months of treatment. This pattern is consistent with international evidence. A systematic review and meta-analysis conducted in low- and middle-income countries demonstrated a similar decline in ART retention over time ‒ 78 %, 71 %, and 69 % at 12-, 24-, and 36-months, respectively ‒ corroborating observations from other studies that maintaining high levels of ART retention over time remains a challenge in many countries.7,12,14,15

The persistently low levels of retention at 60-months observed throughout the study period is a matter of concern, given the chronic nature of HIV infection and the requirement for lifelong treatment. Suboptimal retention increases the risk of virologic failure, drug resistance, and HIV-related morbidity and mortality.6–9

This study observed a relative stability of retention rates from 2018 to 2022, while many countries experienced a negative impact of the SARS-CoV-2 pandemic across HIV continuum of care cascade, including retention, adherence, and viral suppression.16,17 In Brazil, this stability may be explained by strategies implemented by the Ministry of Health aimed at mitigating possible negative impacts of the pandemic on HIV care, such as the expansion of multi-month ARV dispensation and the implementation and expansion of telemedicine for the ARV prescription and follow-up of PLWHA.18–20 The introduction of integrase inhibitor-based regimens in previous years, with fewer side effects and improved tolerability, may also have contributed to the maintenance of retention during this period.21–23

We also found that men had higher retention rates than women. This finding aligns with studies conducted in Indonesia and Canada, in which women demonstrated lower retention and adherence, potentially due to factors such as social stigma, gender-based barriers to care, lack of family or partner support, and mental health challenges.24–26

Some studies have identified lower levels of adherence to ART among women, which may be related to factors such as marital approval, stigmatization, and mental health issues.26 However, other studies have observed that men were more likely to be lost to follow-up, indicating that gender disparities in ART retention may be context-specific and require further investigation.27–29

Although progress has been made over time, lower retention levels were observed among the population aged 15- to 17-years, particularly between 2014 and 2016. This finding is consistent with other national and international studies, which have highlighted the unique challenges faced by adolescents in adhering to lifelong treatment regimens.30–35

Racial and ethnic disparities were also evident in our study. Black and Indigenous population had lower retention rates compared with White and Asian populations. This pattern echoes previous findings in Brazil, where these populations are more likely to experience late HIV diagnosis, poor retention, and unsuppressed viral load.36 Structural barriers and inequities in access to healthcare services may contribute to these outcomes.33,37,38

Geographical disparities were also observed, with the North and Northeast regions presenting the lowest retention rates. Despite Brazil’s long-standing policy of universal access to ART, services remain unevenly distributed, with a greater concentration in urban centers, particularly in the South and Southeast regions.39–41

Education attainment emerged as an important factor for retention. Individuals with higher levels of education were more likely to remain in treatment, supporting existing evidence that lower education levels are associated with lower adherence rates and retention in ART, as well as higher levels of loss to follow-up.42,43

A methodological strength of this study was the development and application of an approach to assessing ART retention using national-level data from Brazil’s ART dispensation database. This method enabled us to define retention status at various time points after ART initiation while accounting for patients receiving multi-month dispensation. As an opportunity for improvement, the Brazilian Ministry of Health may revise its methods for analyzing ART retention based on the approach used in our study.

Nonetheless, some limitations should be noted. Retention was inferred from pharmacy refill data and may not fully capture true engagement in care, adherence, or virologic suppression. The descriptive nature of this study and the absence of formal statistical testing or trend modeling did not allow us to determine whether the observed changes in retention were attributable to specific programmatic interventions. The inclusion criterion of at least one dispensation may have captured individuals who initiated ART but never meaningfully engaged in care, potentially influencing early retention estimates. We were unable to exclude HIV/AIDS-related deaths during the study period. However, a previous population-based study conducted in Brazil showed that out of the 10 to 12 thousand annual cases of AIDS-related deaths in the country, almost half occurred among PLWHA who had not started ART.44 Considering the magnitude of the population analyzed in this study, no considerable impact on results is expected due to not excluding AIDS-related deaths from the analysis. Additionally, there were high levels of missing data for race/ethnicity and education, which may bias subgroup analyses and likely lead to underestimation of disparities; therefore, findings related to these variables should be interpreted with caution. This limitation underscores the importance of strengthening the completeness and quality of health information systems, as accurate and comprehensive sociodemographic data are essential to adequately characterize demographic and clinical profiles, identify inequities, and inform more targeted and effective public health and clinical interventions. Although plausible, the interpretations proposed to explain the observed trends ‒ such as the impact of pandemic mitigation strategies and the introduction of ARV regimens ‒ remain speculative and cannot be formally tested within the design of the present study.

We also used aggregated data and assessed ART retention at fixed time points, which limited our ability to evaluate continuous retention dynamics. As a study based on secondary data, our findings raise important hypotheses but cannot establish causality. Further research is needed to better understand the factors driving retention in the Brazilian context.

By introducing an innovative methodology based on delays in ART dispensation and applying it to a national database, this population-based study contributes new evidence on ART retention trends at multiple time points after ART initiation in Brazil. Our findings build upon previous research on ART adherence and retention, emphasizing the challenges of maintaining long-term ART engagement even in a setting with universal access. Importantly, they reveal persistent disparities in retention among vulnerable populations, underscoring the need for targeted and equitable public health interventions to sustain engagement in HIV care.

Conclusions

This was the first study to analyze ART retention trends at multiple time points using national-level data in Brazil. We observed a gradual decline in retention over time, with marked disparities across sociodemographic groups. Although retention remained relatively stable during the COVID-19 pandemic, long-term retention remains a key challenge. Our methodology offers a valuable tool for routine monitoring of ART retention and reinforces the need for equity-focused strategies to improve retention. While this study provides important population-level insights, longitudinal cohort studies are needed to assess individual care journeys and better understand the factors influencing sustained engagement in HIV care. Qualitative research may help uncover structural and psychosocial barriers to retention. Expanding differentiated care, strengthening community support, and addressing social determinants of health are critical to sustaining ART engagement and advancing HIV epidemic control.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of interest

Marcelo A. de Freitas is currently an employee of GlaxoSmithKline (GSK). This study was conceived and initially conducted prior to his employment at GSK, which had no role in the study design, data collection, data analysis, data interpretation, or decision to publish the manuscript. All other authors declare no competing interests.

Acknowledgements

We would like to thank the Brazilian Ministry of Health for granting access to the national ART monitoring system (SICLOM) data, which made this study possible, collaboration and guidance throughout this project. Special thanks to the Federal University of Espírito Santo for the ethical oversight of the study. Finally, we express our appreciation to all healthcare professionals and data managers involved in the ART dispensing system across Brazil, whose efforts have contributed significantly to the HIV continuum of care in the country.

References
[1]
Centers for Disease Control and Prevention (CDC).
Update: trends in AIDS incidence, deaths, and prevalence ‒ United States, 1996.
MMWR Morb Mortal Wkly Rep, 46 (1997), pp. 165-173
[2]
R.S. Hogg, M.V. O’Shaughnessy, N. Gataric, B. Yip, K. Craib, M.T. Schechter, et al.
Decline in deaths from AIDS due to new antiretrovirals.
Lancet, 349 (1997), pp. 1294
[3]
E.M. Gardner, M.P. McLees, J.F. Steiner, C. Del Rio, W.J. Burman.
The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection.
Clin Infect Dis, 52 (2011), pp. 793-800
[4]
UN Joint Programme on HIV/AIDS (UNAIDS).
UNAIDS 90-90-90.
United Nations, (2014),
[5]
S.M. Cohen, M.M. van Handel, B.M. Branson, J.M. Blair, H. Irene Hall, X. Hu, et al.
Vital signs: HIV prevention through care and treatment ‒ United States.
Morb Mortal Wkly Rep, 60 (2011), pp. 1618-1623
[6]
WHO. World Health Organization. The use of antiretroviral drugs for treating and preventing HIV infection. 2016;99-152, 402.
[7]
M.P. Fox, S. Rosen.
Patient retention in antiretroviral therapy programs up to three years on treatment in sub-Saharan Africa, 2007-2009: systematic review.
Trop Med Int Health, 15 (2010), pp. 1-15
[8]
T.P. Giordano, A.L. Gifford, A.C. White, M.E.S. Almazor, L. Rabeneck, C. Hartman, et al.
Retention in care: a challenge to survival with HIV infection.
Clin Infect Dis, 44 (2007), pp. 1493-1499
[9]
M.W.G. Brinkhof, M. Pujades-Rodriguez, M. Egger.
Mortality of patients lost to follow-up in antiretroviral treatment programmes in resource-limited settings: systematic review and meta-analysis.
PLoS One, 4 (2009),
[10]
Ribeiro S., Moreira R.I., Clark J.L., Veloso V.G. Poor retention in early care increases risk of mortality in a Brazilian HIV-infected clinical cohort. 2018;29(2):263–7.
[11]
D. Sokpa, E. Lyden, N. Fadul, S.H. Bares, J.P. Havens.
Antiretroviral refill histories as a predictor of future Human immunodeficiency virus viremia.
Open Forum Infect Dis, 9 (2022), pp. ofac024
[12]
M.P. Fox, S. Rosen.
Retention of adult patients on antiretroviral therapy in low and middle-income countries: systematic review and meta-analysis 2008-2013.
Physiol Behav, 176 (2017), pp. 139-148
[13]
Ministério da Saúde do Brasil. Relatório de monitoramento clínico do HIV [Internet]. 2022. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/relatorio_monitoramento_clinico_hiv_2022.pdf.
[14]
M.P. Fox, S. Rosen.
Systematic review of retention of pediatric patients on HIV treatment in low and middle-income countries 2008-2013.
[15]
N.N. Leno, F. Guilavogui, A. Camara, K.J.J.O. Kadio, T. Guilavogui, T.S. Diallo, et al.
Retention and predictors of attrition among people living with HIV on antiretroviral therapy in Guinea: a 13-year historical cohort study in nine large-volume sites.
Int J Public Health, 68 (2023), pp. 1-11
[16]
S.A. SeyedAlinaghi, P. Mirzapour, Z. Pashaei, A. Afzalian, M.M. Tantuoyir, R. Salmani, et al.
The impacts of COVID-19 pandemic on service delivery and treatment outcomes in people living with HIV: a systematic review.
AIDS Res Ther, 20 (2023), pp. 1-17
[17]
D. Meyer, S.E. Slone, O. Ogungbe, B. Duroseau, J.E. Farley.
Impact of the COVID-19 pandemic on HIV healthcare service engagement, treatment adherence, and viral suppression in the United States: a systematic literature review.
AIDS Behav, 27 (2023), pp. 344-357
[18]
Ministério da Saúde do Brasil. OFÍCIO circular no 12/2020/CGAHV/.DCCI/SVS/MS. 2010;2010–2010.
[19]
Ministério da Saúde do Brasil. OFÍCIO circular no 13/2020/CGAHV/.DCCI/SVS/MS. 2020;3–5.
[20]
Ministério da Saúde do Brasil. OFÍCIO circular no 8/2020/CGAHV/.DCCI/SVS/MS. 2020. p. 5–6.
[21]
M.V. Meireles, A.R.P. Pascom, E.C. Duarte, W. McFarland.
Comparative effectiveness of first-line antiretroviral therapy: results from a large real-world cohort after the implementation of dolutegravir.
[22]
D. Sculier, G. Wandeler, S. Yerly, A. Marinosci, M. Stoeckle, E. Bernasconi, et al.
Efficacy and safety of dolutegravir plus emtricitabine versus standard ART for the maintenance of HIV-1 suppression: 48-week results of the factorial, randomized, non-inferiority SIMPL’HIV trial.
PLoS Med, 17 (2020),
[23]
Ministério da Saúde do Brasil. Portaria no35, de 28 de Setembro de 2016 [Internet]. Disponível em: https://bvsms.saude.gov.br/bvs/saudelegis/sctie/2016/prt0035_28_09_2016.html.
[24]
A. Rahmalia, M.H. Price, Y. Hartantri, B. Alisjahbana, R. Wisaksana, R. van Crevel, et al.
Are there differences in HIV retention in care between female and male patients in Indonesia? A multi-state analysis of a retrospective cohort study.
PLoS One, 14 (2019),
[25]
C. Tapp, M.J. Milloy, T. Kerr, R. Zhang, S. Guillemi, R.S. Hogg, et al.
Female gender predicts lower access and adherence to antiretroviral therapy in a setting of free healthcare.
BMC Infect Dis, 11 (2011), pp. 86
[26]
C.M. Puskas, J.I. Forrest, S. Parashar, K.A. Salters, A.M. Cescon, A. Kaida, et al.
Women and vulnerability to HAART non-adherence: a literature review of treatment adherence by gender from 2000 to 2011.
Curr HIV/AIDS Rep, 8 (2011), pp. 277-287
[27]
V. Ochieng-Ooko, D. Ochieng, J.E. Sidle, M. Holdsworth, K. Wools-Kaloustian, A.M. Siika, et al.
Influence of gender on loss to follow-up in a large HIV treatment programme in western Kenya.
Bull World Health Organ, 88 (2010), pp. 681-688
[28]
L. Li, T. Yuan, J. Wang, T. Fitzpatrick, Q. Li, P. Li, et al.
Sex differences in HIV treatment outcomes and adherence by exposure groups among adults in Guangdong, China: a retrospective observational cohort study.
EClinicalMedicine, 22 (2020),
[29]
K.C. Takarinda, A.D. Harries, R.W. Shiraishi, T. Mutasa-Apollo, A. Abdul-Quader, O. Mugurungi.
Gender-related differences in outcomes and attrition on antiretroviral treatment among an HIV-infected patient cohort in Zimbabwe: 2007‒2010.
Int J Infect Dis, 30 (2015), pp. 98-105
[30]
S.H. Kim, S.M. Gerver, S. Fidler, H. Ward.
Adherence to antiretroviral therapy in adolescents living with HIV: systematic review and meta-analysis.
[31]
C.A. Laurenzi, S. du Toit, W. Ameyan, G.J. Melendez-Torres, T. Kara, A. Brand, et al.
Psychosocial interventions for improving engagement in care and health and behavioural outcomes for adolescents and young people living with HIV: a systematic review and meta-analysis.
J Int AIDS Soc, 24 (2021),
[32]
C.T. Leshargie, D. Demant, S. Burrowes, J. Frawley.
The proportion of loss to follow-up from antiretroviral therapy (ART) and its association with age among adolescents living with HIV in sub-Saharan Africa: a systematic review and meta-analysis.
PLoS One, 17 (2022),
[33]
L.K. Reif, E.J. Abrams, S. Arpadi, B. Elul, M.L. McNairy, D.W. Fitzgerald, et al.
Interventions to improve antiretroviral therapy adherence among adolescents and youth in low- and middle-income countries: a systematic review 2015‒2019.
AIDS Behav, 24 (2020), pp. 2797-2810
[34]
A.A.C.M. Ferreira, R.G.G. Pinho, L.M. de Aquino, F. de Barros Perini, F.F. Fonseca, A.S. Tresse, et al.
Disparities in HIV continuum of care in the paediatric population: a real-life study in Brazil.
HIV Med, 24 (2023), pp. 411-421
[35]
J.V. Sudovec-Somogyi, F. Krakauer, A.A. Ferreira, N. Stabellini, F. Rick, V.I Avelino-Silva.
Heterogeneities of the impact of public health policies on HIV/AIDS indicators in Brazil according to sociodemographic factors: a real-life study.
HIV Med, 25 (2024), pp. 188-200
[36]
A.R.P. Pascom, M.V. Meireles, A.S. Benzaken.
Sociodemographic determinants of attrition in the HIV continuum of care in Brazil, in 2016.
Med (U S), 97 (2018), pp. S69-S74
[37]
J. Ahnquist, S.P. Wamala, M. Lindstrom.
Social determinants of health–a question of social or economic capital? Interaction effects of socioeconomic factors on health outcomes.
Soc Sci Med, 74 (2012), pp. 930-939
[38]
T. Hone, J. Stokes, A. Trajman, V. Saraceni, C.M. Coeli, D. Rasella, et al.
BMC Public Health, (2021), pp. 1287
[39]
Mib N, Am A. Relatório qualiaids 2017. 2017.
[40]
Presidência da República do Brasil. https://www.planalto.gov.br/CCIVIL_03/////LEIS/L9313.htm. LEI No 9.313, de 13 de Novembro de 1996.
[41]
A.M. Alves, A.C. Dos Santos, A. Kumow, A.P.S. Sato, E.T de S Helena, M.I.B Nemes.
Beyond access to medication: the role of SUS and the characteristics of HIV care in Brazil.
Rev Saude Publica, 57 (2023), pp. 26
[42]
O. Mgbako, R. Conard, C.A. Mellins, J.D. Dacus, R.H. Remien.
A systematic review of factors critical for HIV health literacy, ART adherence and retention in care in the U.S. for racial and ethnic minorities.
AIDS Behav, 26 (2022), pp. 3480-3493
[43]
E.M. Frijters, L.E. Hermans, A.M.J. Wensing, W.L.J.M. Devillé, H.A. Tempelman, J.B.F. De Wit.
Risk factors for loss to follow-up from antiretroviral therapy programmes in low-income and middle-income countries.
[44]
M.A. de Freitas, A.E. Miranda, A.R.P. Pascom, S.B. de Oliveira, F. Mesquita, N. Ford.
Antiretroviral therapy status among people who died of AIDS-related causes from 2009 to 2013 in Brazil: a population-based study.
Trop Med Int Health, 21 (2016), pp. 1452-1457
Copyright © 2026. Sociedade Brasileira de Infectologia
Download PDF
The Brazilian Journal of Infectious Diseases
Article options
Tools