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Barriers and facilitators for interventions to improve ART adherence in Sub-Saharan African countries: A systematic review and meta-analysis

  • Amos Buh ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    abuh020@uottawa.ca (AB); sanni.yaya@uottawa.ca (SY)

    Affiliation Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada

  • Raywat Deonandan,

    Roles Methodology, Writing – original draft

    Affiliation Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada

  • James Gomes,

    Roles Supervision, Writing – review & editing

    Affiliation Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada

  • Alison Krentel,

    Roles Supervision, Writing – review & editing

    Affiliation School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada

  • Olanrewaju Oladimeji,

    Roles Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Public Health, Faculty of Health Sciences, Walter Sisulu University, Mthatha, Eastern Cape, South Africa, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa

  • Sanni Yaya

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – review & editing

    abuh020@uottawa.ca (AB); sanni.yaya@uottawa.ca (SY)

    Affiliation School of International Development and Global Studies, University of Ottawa, Ottawa, Ontario, Canada

Abstract

Background

The HIV/AIDS pandemic remains a significant public health issue, with sub-Saharan Africa (SSA) at its epicentre. Although antiretroviral therapy (ART) has been introduced to decrease new infections and deaths, SSA reports the highest incidence of HIV/AIDS, constituting two-thirds of the global new infections. This review aimed to elucidate the predominant barriers and facilitators influencing ART adherence and to identify effective strategies to enhance ART adherence across SSA.

Methods

A comprehensive review was conducted on studies examining barriers to ART adherence and interventions to boost adherence among HIV-positive adults aged 15 and above in SSA, published from January 2010 onwards. The research utilized databases like Medline Ovid, CINAHL, Embase, and Scopus. Included were experimental and quasi-experimental studies, randomized and non-randomized controlled trials, comparative before and after studies, and observational studies such as cross-sectional, cohort, prospective and retrospective studies. Two independent reviewers screened the articles, extracted pertinent data, and evaluated the studies’ methodological integrity using Joanna Briggs Institute’s standardized appraisal tools. The compiled data underwent both meta-analysis and narrative synthesis.

Results

From an initial pool of 12,538 papers, 45 were selected (30 for narrative synthesis and 15 for meta-analysis). The identified barriers and facilitators to ART adherence were categorized into seven principal factors: patient-related, health system-related, medication-related, stigma, poor mental health, socioeconomic and socio-cultural-related factors. Noteworthy interventions enhancing ART adherence encompassed counselling, incentives, mobile phone short message service (SMS), peer delivered behavioural intervention, community ART delivery intervention, electronic adherence service monitoring device, lay health worker lead group intervention and food assistance. The meta-analysis revealed a statistically significant difference in ART adherence between the intervention and control groups (pooled OR = 1.56, 95%CI:1.35–1.80, p = <0.01), with evidence of low none statistically significant heterogeneity between studies (I2 = 0%, p = 0.49).

Conclusion

ART adherence in SSA is influenced by seven key factors. Multiple interventions, either standalone or combined, have shown effectiveness in enhancing ART adherence. To optimize ART’s impact and mitigate HIV’s prevalence in SSA, stakeholders must consider these barriers, facilitators, and interventions when formulating policies or treatment modalities. For sustained positive ART outcomes, future research should target specific underrepresented groups like HIV-infected children, adolescents, and pregnant women in SSA to further delve into the barriers, facilitators and interventions promoting ART adherence.

Background

The HIV/AIDS pandemic remains a pervasive global public health challenge. From the epidemic’s inception until the close of 2021, approximately 84.2 million individuals (range: 64.0–113.0 million) contracted HIV, resulting in an estimated 40.1 million deaths (range: 33.6–48.6 million) due to the virus [1]. In 2021 alone, there were 38.4 million people living with HIV, 1.5 million new infections, and between 510,000 and 860,000 AIDS-related deaths [1, 2]. Sub-Saharan Africa (SSA), or the World Health Organization (WHO) African region, continues to bear the heaviest HIV/AIDS burden. Here, nearly 1 in every 25 adults (3.4%) is living with HIV, comprising over two-thirds of the global HIV population [1, 3].

After an HIV diagnosis, timely and effective linkage to care is pivotal [4, 5]. Currently, there is no cure for HIV. Anti-retroviral therapy (ART) remains the sole treatment that can prolong life and improve the quality of life of people living with HIV/AIDS (PLWHA) [5, 6]. ART has revolutionized the management of HIV, transforming a once-fatal disease into a manageable chronic condition [7]. This therapy inhibits the virus’ replication, reduces the patient’s viral load, increases CD4 counts, and thus decreasing the patient’s risk of opportunistic infections and hospitalizations. This boosts patient’s quality of life and reduces mortality [810]. As the patient’s CD4 counts rises, their immune system is rejuvenated, effectively combating infections and HIV-related cancers [6]. For ART to be effective, it must be consistently taken as prescribed [5, 79]. When properly adhered to, ART minimizes the individual’s viral load, prevents drug resistance, reduces the risk of transmission, and lowers treatment failure rates [6, 1012]. Conversely, inconsistent adherence can lead to drug resistance and compromised treatment efficacy [6].

Despite ART’s potential benefits—enabling immune recovery and improving survival in PLWH [11], healthcare systems across SSA grapple with multiple challenges in scaling up ART provision. Key issues include suboptimal ART adherence, poor retention of PLWHA in care, and overloaded primary health care facilities [13]. Such challenges might be contributing to observed ART non-adherence, particularly in regions with high disease prevalence [14]. Research has indicated that patient factors, the nature of the disease, treatment modalities, and the patient-healthcare provider relationship can impact adherence [15, 16]. Notable barriers encompass stigma, negative perceptions, lack of family and community support, status disclosure issues, unemployment, transportation challenges, insufficient nutrition, inadequate follow-ups, confidentiality concerns, and dependency on alternative therapies [17, 18]. Also, physical, economic, and emotional stress, travel away from home, business with other things, depression, alcohol or drug use, and ART dosing frequency have all been identified as barriers to adherence [19, 20]. On the positive side, several facilitators to ART adherence have been documented, including social support [21, 22], HIV status disclosure, health improvement due to ART, use of reminder aids and receiving education and counselling [21, 23]. Community knowledge and understanding of the HIV infection, increasing collaboration between Western and Traditional providers, peer and family level support, decreasing cost and distance to ART clinic [24] as well as clear instructions for taking ART, service providers’ positive attitude towards patients, benefits of adhering to ART and dangers of defaulting [23] have also been documented as factors facilitating ART adherence. Despite this plethora of research, comprehensive insights into the predominant barriers and facilitators common across all SSA countries remain sparse.

Patients on ART frequently face multifaceted barriers to consistent adherence, implying that a single intervention strategy may not suffice. Healthcare providers are thus encouraged to adopt a multifaceted approach—identifying at-risk patients and then tailoring support to address specific adherence obstacles [25]. Documented interventions include home-based care, peer support, and specific treatment regimens [26]. Also, cognitive behavioural interventions, education, treatment supporters, directly observed therapy, and active adherence reminder devices (such as mobile phone text messages) can help patients stick to their ART regimen [27]. However, comprehensive data on interventions universally effective across SSA is scanty.

Considering the acute HIV burden in SSA, coupled with often under-resourced healthcare systems, understanding common barriers to and effective interventions for ART adherence is vital. Such insights can aid countries and organizations in framing effective strategies to curtail the pandemic in the region. This review, therefore, sought to pinpoint the prevalent barriers and facilitators influencing ART adherence and to unearth universally effective interventions that could enhance ART adherence across SSA.

Methods

Study design

This was a systematic review and meta-analysis of published studies that examined the barriers and facilitators to ART adherence and interventions that improved patients’ adherence to ART in SSA countries. The review is reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) criteria (S1 File) [28]. The review’s protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO number CRD42021262256) and published in the Plos One journal [5].

Inclusion criteria

To select appropriate studies for this review, we used the PICO (population, intervention, comparator, and outcome) criteria. This allowed us to find and select the right studies that can address our research questions. Our inclusion criteria therefore comprised:

Population

This review included studies conducted between 2010 and 2023 on adult HIV-positive patients aged 15 or above in SSA.

Intervention

All studies that assessed the barriers and or facilitators to ART adherence and or evaluated interventions aimed at improving ART adherence among adults PLWH in SSA were included in this review.

Comparator

The interventions were either in comparison with other strategies to identify the most effective and/or were in comparison to no strategies/interventions (regular basic management).

Outcomes

The review included studies that assessed the following outcomes:

  1. Primary outcome: Proportion of patients adhering to treatment following implementation of specific strategies.
  2. Secondary outcomes: Proportion of patients retained in care, prevalence of opportunistic infections and or the worsening/severity of the patient’s stage of HIV infection following specific treatment interventions. Included studies measured viral load and CD4 cell counts as an indication of the treatment adherence and efficacy.

Types of studies

This review encompassed both experimental and quasi-experimental studies from SSA that evaluated barriers to ART adherence and interventions aimed at enhancing such adherence. Included studies consisted of randomized and non-randomized controlled trials, comparative pre-and-post studies, and various observational studies such as cross-sectional, cohort, prospective and retrospective investigations. The scope of this review was limited to studies conducted between 2010 and 2023 and involved adult participants aged 15 years and older.

Language

Only studies written in English and or French were included in this systematic review.

Search strategy

A three-step strategy was used to find published studies on barriers to ART adherence and interventions improving adherence to ART among adult PLWH in SSA. An initial search through the Medline Ovid database was first conducted using an analysis of text words found in the title and abstract, and the index terms used in describing the article. Secondly, keywords and index terms were identified to search for studies in selected databases. Finally, additional studies not found in the databases were looked for using the reference list of selected studies from the first and second searches. For this review, the databases that were searched included Medline Ovid, CINAHL, Embase, and Scopus. We also used search engines and directories such as Google scholar and Centres for Disease Control and Prevention (CDC) to search for unpublished studies.

Some of the keywords we used for our initial searches in Medline Ovid included “ART”, “adherence”, “retention in care”, “non-adherence”, “barriers to ART adherence”, “adherence strategies”, “HIV”, “adults PLWH”, “sub-Saharan African countries” (S2 File).

Study screening and selection

Studies that were identified in searched databases were saved in Zotero and exported to the Covidence software for screening. The inclusion and exclusion criteria of this study was also imported to the Covidence software, and the software was used for title, abstract and full-text screening. After importing references and inclusion/exclusion criteria into the software, two independent reviewers screened titles of included studies following the eligibility criteria. All conflicts between the two reviewers were resolved either through discussion or by a third reviewer. This same procedure was applied for abstract screening. After the abstract screening, full texts of potentially eligible studies were retrieved and independently assessed for eligibility by two reviewers. Any conflicts or disagreement between the two reviewers over the eligibility of a given study were resolve in a similar manner as for the title and abstract screening.

Assessment of methodological quality

Two independent reviewers were used to assess the methodological validity of the studies that were selected for retrieval using standard critical appraisal tools from the Joanna Briggs Institute for Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) (S3 File). Any disagreement between the two reviewers were settled through discussions or by a third reviewer.

Data extraction

Data was extracted from selected studies using a standardized data extraction tool from the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review instrument (S4 File). The extracted data included specific details about the barriers to ART adherence, strategies or interventions improving ART adherence, study populations, study methods and outcomes significant to the review question and objective. In the event of any missing data from a study, the corresponding author of the study was contacted to provide the missing data. The data were independently extracted by two reviewers.

Data synthesis

We conducted both a meta-analysis and a narrative synthesis of the various interventions improving ART adherence. The meta-analysis was done to identify the interventions with a significant impact in improving patients’ adherence to ART.

For the meta-analysis, we first assessed the statistical heterogeneity with I2, which indicates the percentage of the total variation across studies; where 0% - 40% indicates low heterogeneity, 30% - 60% indicates moderate heterogeneity, 50% - 90% indicates substantial heterogeneity, and 75% - 100% indicates considerable heterogeneity. If there was a substantial amount of heterogeneity (75%), then sources of heterogeneity were examined through subgroup and sensitivity analyses. We also used Chi-square test to test the heterogeneity and considered P-values < 0.05 as statistically significant. We selected a fixed-effects model for significant homogeneous studies; otherwise, we applied a random-effects model. All outcomes were summarized using odds ratios (OR) and 95% confidence intervals (CI). An OR<1 indicated a lower rate of outcome among the group of patients who were treated following a given intervention. Publication bias was assessed by visual inspections of funnel plots and Egger’s test.

For the narrative synthesis, we have described the barriers and facilitators to ART adherence and the interventions promoting adherence to ART, following Popay’s guidance on the conduct of a narrative synthesis [29]. The narrative synthesis has been structured by describing the studies following the barriers and facilitators assessed and the type of strategies used to improve ART adherence. The identified barriers and facilitators to ART adherence and the interventions improving adherence have first been presented in a table followed by detailed description of each ART adherence barrier and or facilitator and intervention promoting treatment adherence.

Confidence in cumulative evidence

The quality of evidence used in this review was assessed by the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) [30].

Results

Characteristics of included studies

Twelve thousand five hundred and thirty-eight (12538) potential papers were identified for this study. After screening the titles and abstracts, 435 papers were selected for retrieval. When the papers were reviewed, 47 of the 435 papers retrieved for full text screening were found to fully meet our inclusion criteria. The papers were critically appraised using the JBI-MAstARI critical appraisal tool by two independent reviewers and 2 papers were further excluded due to missing outcome measures for different arms of the study. Only 45 papers (30 for narrative synthesis and 15 for meta-analysis) were finally found to be of sufficient quality and were retained (Fig 1).

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Fig 1. PRISMA flowchart of selection process.

https://doi.org/10.1371/journal.pone.0295046.g001

For the meta-analysis, majority of the studies included were RCTs in design (n = 14), while more than half (16) of the studies included in the narrative synthesis were qualitative in design. Each included study was either conducted only in one SSA country or in two or more SSA countries. Participants in the studies were both adult male and female PLWH aged 15 and above. Details about the studies are summarized in Table 1.

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Table 1. Characteristics of included studies.

https://doi.org/10.1371/journal.pone.0295046.t001

Quality appraisal

Tables 2 and 3 presents the quality appraisal of studies included in this review. For the included non-randomized control studies, 17 of them had an overall high rate of methodological quality (>90%), 13 had a moderate methodological quality ranging between 80 and 90% and only one had a methodological quality rate of less than 80%. The variation in methodological quality was because some studies did not adequately explain how confounding factors were delt with, did not sufficiently explain participant follow up and the criteria used to objectively assess outcomes in a reliable way (Table 2).

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Table 2. JBI critical appraisal results for non-randomize control trial studies.

https://doi.org/10.1371/journal.pone.0295046.t002

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Table 3. JBI critical appraisal results for randomized controlled trial studies.

https://doi.org/10.1371/journal.pone.0295046.t003

For the included randomized control trials, 6 had a high methodological quality rate (>90%), 6 had a rate between 80–90% and 2 had a methodological quality rate of less than 80%. The variations in methodological quality among trials was because some trials did not conceal the allocation of treatment from allocators, outcomes of participants who withdrew from the trials were not described nor included in the analysis and those assessing outcomes were not blind to treatment allocation (Table 3).

Common barriers and facilitators to ART adherence in SSA

Thirty studies [18, 3159] reported barriers to ART adherence and 11 of the studies [3134, 37, 39, 43, 46, 53, 55, 56] also reported facilitators to ART adherence. Both the barriers and facilitators can be grouped under the same seven broad categories–patient, health system, medication, stigma, poor mental health, socio-economic and socio-cultural-related factors (Table 4). Specific details of the studies with the barriers and facilitators reported can be found on Table 1.

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Table 4. Common barriers and facilitators to ART adherence in SSA.

https://doi.org/10.1371/journal.pone.0295046.t004

Common ART adherence interventions and their outcome in SSA

Common interventions used in improving ART adherence in SSA countries include counselling [60, 61], incentives [62, 63], mobile phone short message service (SMS) [60, 6469], peer delivered behavioural intervention [70], community ART delivery intervention [71], electronic adherence monitoring device [69, 72], lay health worker lead group intervention [73] and food assistance [74]. The counselling intervention (either used alone or in combination with another intervention such as SMS), peer delivered intervention, food assistance, community ART delivery as well as lay health worker lead group interventions have a significant effect in improving patients’ adherence to ART. However, incentives (either financial or in kind), SMS and electronic adherence monitoring device interventions have varying statistically significant or non-significant effects in different settings (Table 5).

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Table 5. ART adherence interventions and their outcomes in SSA.

https://doi.org/10.1371/journal.pone.0295046.t005

Effect of interventions on ART adherence—meta-analysis

Fourteen RCTs and 1 cohort study reported ART adherence as an outcome. All 15 included studies were pooled in the meta-analysis. The total number of participants in the pooled studies were 3877 PLWH who were on ART. Of these 3877 participants, 2110 received an ART adherence intervention and 1520 of them were ART adherent after the intervention. Overall, the results of the pooled analysis from both the RCTs and cohort study included showed a statistically significant difference in ART adherence rates between the intervention and controlled groups (pooled OR = 1.56, 95%CI:1.35–1.80, p = <0.01), with evidence of low none statistically significant heterogeneity between studies (I2 = 0%, p = 0.49) (Fig 2).

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Fig 2. Forest plot of ART adherence comparing adherence interventions versus control.

https://doi.org/10.1371/journal.pone.0295046.g002

In the subgroup analysis of RCTs and cohort study, the individual and pooled ORs for ART adherence are shown in Fig 3. The results of the pooled analysis from the RCTs showed a statistically significant difference in ART adherence between the intervention and control groups (pooled OR = 1.65, 95%CI:1.34–2.03, p = <0.01), with evidence of moderate none statistically significant heterogeneity between studies (I2 = 41%, p = 0.06). Similarly, the result of the analysis from the cohort study showed a statistically significant difference in ART adherence between the intervention and control groups (OR = 2.87, 95%CI: 1.17–7.02; p = 0.02).

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Fig 3. Forest plot of ART adherence comparing adherence interventions versus control in subgroup RCTs and cohort study analysis.

https://doi.org/10.1371/journal.pone.0295046.g003

Furthermore, in the subgroup analysis of studies by region (West and Central African region, East African region, and Southern African region), the results of the pooled analysis from studies in the West and Central African as well as those from the East African region showed a statistically significant difference in ART adherence between intervention and control groups but with no statistically significant heterogeneity between studies. A moderate none statistically significant heterogeneity (I2 = 44%, p = 0.13) was only observed in the Southern African region studies which also showed a none statistically significant difference in ART adherence between intervention and control groups ((pooled OR = 1.51, 95%CI:0.86–2.63, p = 0.15), (Fig 4).

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Fig 4. Forest plot of ART adherence comparing adherence interventions versus control in subgroup analysis by region.

https://doi.org/10.1371/journal.pone.0295046.g004

Confidence in the evidence

The assessment of the quality of the evidence used in this review shows that there is high certainty of evidence in intervention effect on the domain of patients’ adherence to ART. The certainty of evidence on the outcome domains of retention in care and CD4 cell counts is low. Lastly, certainty of evidence on the viral load outcome domain is very low (Table 6).

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Table 6. GRADE certainty of evidence ratings.

https://doi.org/10.1371/journal.pone.0295046.t006

Discussion

ART regimens are life-long requirement of strict compliance by patients and needs to be taken as prescribed to achieve treatment success and prevent drug resistance [7, 8, 75]. As clinical and immunological improvement as well as viral suppression are only expected when individuals adhere to ART [5, 79], the efficacy and durability of ART drug regimens require near perfect adherence rates as high as 95% or more [7678].

This systematic review and meta-analysis synthesized existing evidence on ART adherence barriers, facilitators and strategies or interventions for improving patients’ adherence to ART in SSA countries. We document that 30 studies included in this review reported barriers to ART adherence, 11 of them also reported facilitators to ART adherence and 15 studies reported interventions improving ART adherence in SSA. The common barriers reported are grouped under seven major factors: patient-related (age, use of alcohol or other drugs, forgetfulness, business with other things, non-status disclosure, limited HIV knowledge, leaving house without drugs, perceived wellness or feeling healthy), health system-related (poor clinic infrastructure, health workers knowledge and attitudes, long waiting times, poor service delivery, rupture of drugs), medication-related (side effects, pill burden/dosing, treatment fatigue), stigma (gossips, fear of status disclosure), poor mental health (depression, anger and hopelessness, sleep disorders, feeling overwhelmed with life demands), socioeconomic (unemployment, poverty, food insecurity, no disability grants, lack of partner/family support) and socio-cultural-related (use of alternative medicines, intimate partner violence, religious beliefs/practices, belief in witch doctors, lack of community support) factors. Similarly, the common facilitators to ART adherence are also group under the same seven major factors as barriers and they include: patient-related (use of reminders, having routines, disclosing status and HIV/ART education), health system-related (caregiver support, decentralization of ART care units, improved relationship with care providers), medication-related (awareness of regimen, benefits of ART), stigma (accept status, view ART as life-saving, improve knowledge and understanding of HIV/ART), poor mental health (motivation to be healthy for self and others, counselling, belief in eminent HIV cure discovery, desire to raise offspring), socioeconomic (disability grants, financial support) and socio-cultural-related (partner/family support, social support, community support, encouragement from community health workers). The interventions improving ART adherence include counselling, incentives, mobile phone short message service (SMS), peer delivered behavioural intervention, community ART delivery intervention, electronic adherence service monitoring device, lay health worker lead group intervention and food assistance. These interventions are either effective individually or when combined and the results of our meta-analysis revealed an improvement in ART adherence in favour of ART interventions.

There have been several reviews in the realm of ART adherence, each with its distinct scope and limitations. Some are somewhat dated, others might have methodological constraints, and a significant portion focuses exclusively on English-language publications. Specifically: a 2008 review centred on barriers to accessing antiretroviral treatment in developing nations, emphasizing studies from 1996 to 2007 and exclusively sourcing from PubMed, FamMed and Cochrane databases [79]. A 2012 examination reviewed ART adherence trends in Cameroon, covering studies between January 1999 and May 2012 [80]. Another review from 2003 to February 2019 addressed the efficacy of treatment supporter interventions for ART adherence in SSA, but it considered only English-language studies [81]. A further review regarding strategies to bolster adherence in sub-Saharan Africa exclusively considered articles from PubMed, Medline and Google Scholar databases [82].

Our study fills a unique niche in this spectrum: it provides an all-encompassing view of barriers, facilitators, and interventions to enhance ART adherence in SSA, embracing both English and French publications. This makes our review distinct as no similar comprehensive study has been identified.

Delving into our findings, we observed that the reported barriers align with those from other reviews, specifically those relating to patient factors, medication, stigma and health services [25]. Nonetheless, our review offers a broader scope, encompassing barriers that have been somewhat overlooked by others, like transport [83] and food insecurity issues [84]. Other reviews focused exclusively on population and health system level barriers [79] and depression and alcohol use related barriers [85]. Furthermore, our findings regarding facilitators mirror those from other reviews, noting common themes like social support, reminders, status disclosure and the importance of establishing robust patient-provider relationships [86].

Regarding interventions, our review highlights a variety of strategies, some potent as standalone measures, and others more effective in tandem with complementary interventions. This is consistent with another review asserting the necessity of multiple interventions due to the diverse barriers faced by ART patients [25]. While our review doesn’t single out the most impactful intervention, our meta-analysis underscores an overarching improvement in adherence when ART interventions are implemented. This is in line with other analyses which have demonstrated increased adherence with the introduction of interventions [87]. It is also noteworthy that some specific groups, like pregnant and lactating women, show heightened adherence when given targeted interventions [88]. Community-based ART delivery, as observed in other reviews, also emerges as a potent strategy, enhancing patient retention, accessibility to HIV services, and overall treatment engagement [8991].

Strengths and limitations

This review has the following strengths–eligible studies were identified through a comprehensive search on several databases and sources, it included recent articles published in SSA countries from 2010 onward, studies published in either English and or French were included, and two persons independently evaluated each study for inclusion and data extraction. Furthermore, this review alone has synthesized recent evidence on common adherence barriers and facilitators, and common interventions that have been shown to improve ART adherence across SSA in one single review than any previous review has done.

However, our review is limited by the fact that we included some cohort studies which may bias the overall estimate effect due to unmeasured confounding not adjusted for in multivariable analysis. Also, included studies for our meta-analysis did not measure the outcome (adherence) in the same way nor using the same tool; this might impact the results of our pooled analysis. Lastly, we did not include unpublished studies and might have missed some eligible articles.

Conclusion

The barriers and facilitators to ART adherence in SSA countries can be categorized under seven primary factors: patient-related, health system-related, medication-related, stigma, poor mental health, socioeconomic and socio-cultural-related factors. Common interventions that enhance ART adherence encompass counselling, incentives, mobile phone short message services (SMS), peer delivered behavioural intervention, community ART delivery intervention, electronic adherence service monitoring device, lay health worker lead group intervention and food assistance. These strategies prove effective either as standalone approaches or in conjunction with other methods. To harness the full potential of ART and mitigate the HIV burden in SSA countries, stakeholders engaged in HIV prevention and treatment must recognize and integrate these barriers, facilitators, and adherence enhancing interventions when formulating policies or crafting treatment strategies. Ensuring sustained optimal outcomes from ART may necessitate further research, particularly focusing on specific underrepresented demographics such as HIV-infected children, adolescents, and pregnant women in SSA. This research will aim to uncover the most appropriate barriers, facilitators and interventions tailored to each group’s unique needs.

Supporting information

S2 File. Medline (Ovid) search strategies and results.

https://doi.org/10.1371/journal.pone.0295046.s002

(DOCX)

S3 File. Joanna Briggs institute for meta-analysis of statistics assessment and review instruments.

https://doi.org/10.1371/journal.pone.0295046.s003

(DOCX)

S4 File. Data extraction form for quantitative research.

https://doi.org/10.1371/journal.pone.0295046.s004

(DOCX)

Acknowledgments

We would like to thank Valentina Ly (the librarian) for guidance in developing the searching strategies. We also greatly appreciate our study personnel Phalone Mei Nsen, Arone Fantaye, Moussa Sangare, and Komlan Kota who assisted in screening and data extraction.

References

  1. 1. WHO. HIV [Internet]. [cited 2023 Mar 6]. https://www.who.int/data/gho/data/themes/hiv-aids
  2. 2. UNAIDS. Global HIV & AIDS statistics—Fact sheet [Internet]. [cited 2023 Mar 6]. https://www.unaids.org/en/resources/fact-sheet
  3. 3. Kaiser Family Foundation. The Global HIV/AIDS Epidemic [Internet]. KFF. 2022 [cited 2023 Mar 6]. https://www.kff.org/global-health-policy/fact-sheet/the-global-hivaids-epidemic/
  4. 4. Doherty M, Ford N, Vitoria M, Weiler G, Hirnschall G. The 2013 WHO guidelines for antiretroviral therapy: evidence-based recommendations to face new epidemic realities. Curr Opin HIV AIDS. 2013 Nov;8(6):528–34. pmid:24100873
  5. 5. Buh A, Deonandan R, Gomes J, Krentel A, Oladimeji O, Yaya S. Adherence barriers and interventions to improve ART adherence in Sub-Saharan African countries: A systematic review protocol. PloS One. 2022;17(6):e0269252. pmid:35704636
  6. 6. NIH. HIV Treatment: The Basics [Internet]. 2020 [cited 2021 Apr 1]. https://hivinfo.nih.gov/understanding-hiv/fact-sheets/hiv-treatment-basics
  7. 7. Tran BX, Nguyen LT, Nguyen NH, Hoang QV, Hwang J. Determinants of antiretroviral treatment adherence among HIV/AIDS patients: a multisite study. Glob Health Action [Internet]. 2013 Mar 15 [cited 2021 Apr 1];6. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600425/ pmid:23497956
  8. 8. Weidle PJ, Wamai N, Solberg P, Liechty C, Sendagala S, Were W, et al. Adherence to antiretroviral therapy in a home-based AIDS care programme in rural Uganda. Lancet Lond Engl. 2006 Nov 4;368(9547):1587–94.
  9. 9. Bam K, Rajbhandari RM, Karmacharya DB, Dixit SM. Strengthening adherence to Anti Retroviral Therapy (ART) monitoring and support: operation research to identify barriers and facilitators in Nepal. BMC Health Serv Res. 2015 May 5;15(1):188. pmid:25939593
  10. 10. Johnson LF, Mossong J, Dorrington RE, Schomaker M, Hoffmann CJ, Keiser O, et al. Life Expectancies of South African Adults Starting Antiretroviral Treatment: Collaborative Analysis of Cohort Studies. PLoS Med [Internet]. 2013 Apr 9 [cited 2021 Feb 14];10(4). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3621664/ pmid:23585736
  11. 11. Bor J, Herbst AJ, Newell ML, Bärnighausen T. Increases in adult life expectancy in rural South Africa: valuing the scale-up of HIV treatment. Science. 2013 Feb 22;339(6122):961–5. pmid:23430655
  12. 12. Mills EJ, Bakanda C, Birungi J, Chan K, Ford N, Cooper CL, et al. Life Expectancy of Persons Receiving Combination Antiretroviral Therapy in Low-Income Countries: A Cohort Analysis From Uganda. Ann Intern Med. 2011 Aug 16;155(4):209–16. pmid:21768555
  13. 13. Ford N, Vitoria M, Hirnschall G, Doherty M. Getting to zero HIV deaths: progress, challenges and ways forward. J Int AIDS Soc. 2013;16(1):18927. pmid:24314398
  14. 14. Rougemont M, Stoll BE, Elia N, Ngang P. Antiretroviral treatment adherence and its determinants in Sub-Saharan Africa: a prospective study at Yaounde Central Hospital, Cameroon. AIDS Res Ther. 2009 Oct 12;6(1):21. pmid:19821997
  15. 15. Fonsah JY, Njamnshi AK, Kouanfack C, Qiu F, Njamnshi DM, Tagny CT, et al. Adherence to antiretroviral therapy (ART) in Yaoundé-Cameroon: Association with opportunistic infections, depression, ART regimen and side effects. PLoS One. 2017 Jan 1;12(1):e0170893.
  16. 16. Peltzer K, Pengpid S. Socioeconomic Factors in Adherence to HIV Therapy in Low- and Middle-income Countries. J Health Popul Nutr. 2013 Jun;31(2):150–70. pmid:23930333
  17. 17. Onwunata A, Ebong OO, Enoh G. Factors associated with non-adherence of HIV/AIDS patients to HAART regimen in a healthcare facility in Ikot Ekpene, Akwa Ibom State, Nigeria. J AIDS HIV Res. 2019 Mar 31;11(3):16–24.
  18. 18. Azia IN, Mukumbang FC, van Wyk B, Azia I. Barriers to adherence to antiretroviral treatment in a regional hospital in Vredenburg, Western Cape, South Africa. Open Access. 8.
  19. 19. Nachega JB, Uthman OA, Anderson J, Peltzer K, Wampold S, Cotton MF, et al. Adherence to antiretroviral therapy during and after pregnancy in low-income, middle-income, and high-income countries: a systematic review and meta-analysis. AIDS Lond Engl. 2012 Oct 23;26(16):2039–52.
  20. 20. Kim MH, Mazenga AC, Yu X, Ahmed S, Paul ME, Kazembe PN, et al. High self-reported non-adherence to antiretroviral therapy amongst adolescents living with HIV in Malawi: barriers and associated factors. J Int AIDS Soc [Internet]. 2017 Mar 30 [cited 2021 Apr 3];20(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515061/ pmid:28406275
  21. 21. Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM, Bimirew MA, Kassie DM. Barriers and Facilitators of Adherence to Antiretroviral Drug Therapy and Retention in Care among Adult HIV-Positive Patients: A Qualitative Study from Ethiopia. PLOS ONE. 2014 May 14;9(5):e97353. pmid:24828585
  22. 22. Audi C, Jahanpour O, Antelman G, Guay L, Rutaihwa M, van de Ven R, et al. Facilitators and barriers to antiretroviral therapy adherence among HIV-positive adolescents living in Tanzania. BMC Public Health. 2021 Dec 13;21(1):2274. pmid:34903209
  23. 23. Simelane PT, Simelane MS, Amoateng AY. Barriers and facilitators to adherence for antiretroviral therapy: the perspectives of patients from a wellness center in the Mpumalanga Province, South Africa. Afr Health Sci. 2022 Oct 28;22(3):455–62. pmid:36910408
  24. 24. Gabster A, Socha E, Pascale JM, Cabezas Talavero G, Castrellón A, Quiel Y, et al. Barriers and facilitators to antiretroviral adherence and retention in HIV care among people living with HIV in the Comarca Ngäbe-Buglé, Panama. PloS One. 2022;17(6):e0270044.
  25. 25. Shubber Z, Mills EJ, Nachega JB, Vreeman R, Freitas M, Bock P, et al. Patient-Reported Barriers to Adherence to Antiretroviral Therapy: A Systematic Review and Meta-Analysis. PLoS Med. 2016 Nov;13(11):e1002183. pmid:27898679
  26. 26. Bain-Brickley D, Butler LM, Kennedy GE, Rutherford GW. Interventions to improve adherence to antiretroviral therapy in children with HIV infection. Cochrane Database Syst Rev [Internet]. 2011 [cited 2021 Apr 3];(12). Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD009513/full pmid:22161452
  27. 27. Chaiyachati KH, Ogbuoji O, Price M, Suthar AB, Negussie EK, Bärnighausen T. Interventions to improve adherence to antiretroviral therapy: a rapid systematic review. AIDS. 2014 Mar;28:S187–204. pmid:24849479
  28. 28. Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015 Jan 2;350:g7647. pmid:25555855
  29. 29. Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, et al. Guidance on the Conduct of Narrative Synthesis in Systematic Reviews. Prod ESRC Methods Programme Version. 2006 Apr;1:92.
  30. 30. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008 Apr 24;336(7650):924–6. pmid:18436948
  31. 31. Ajuna N, Tumusiime B, Amanya J, Awori S, Rukundo GZ, Asiimwe JB. Social Networks and Barriers to ART Adherence Among Young Adults (18–24 years) Living with HIV at Selected Primary Health Facilities of South-Western Uganda: A Qualitative Study. HIVAIDS Auckl NZ. 2021 Oct 7;13:939–58.
  32. 32. Axelsson JM, Hallager S, Barfod TS. Antiretroviral therapy adherence strategies used by patients of a large HIV clinic in Lesotho. J Health Popul Nutr [Internet]. 2015 [cited 2023 Jul 21];33. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025960/ pmid:26825572
  33. 33. Balcha TT, Jeppsson A, Bekele A. Barriers to antiretroviral treatment in ethiopia: a qualitative study. J Int Assoc Physicians AIDS Care Chic Ill 2002. 2011;10(2):119–25.
  34. 34. Biomndo BC, Bergmann A, Lahmann N, Atwoli L. Intimate partner violence is a barrier to antiretroviral therapy adherence among HIV-positive women: Evidence from government facilities in Kenya. PLOS ONE. 2021 Apr 21;16(4):e0249813. pmid:33882084
  35. 35. Becker N, Poudel KC, Cordeiro LS, Sayer AG, Sibiya TE, Sibeko LN. A quantitative analysis of food insecurity and other barriers associated with ART nonadherence among women in rural communities of Eswatini. PloS One. 2021;16(8):e0256277. pmid:34437585
  36. 36. Bukenya D, Mayanja BN, Nakamanya S, Muhumuza R, Seeley J. What causes non-adherence among some individuals on long term antiretroviral therapy? Experiences of individuals with poor viral suppression in Uganda. AIDS Res Ther. 2019 Jan 21;16(1):2. pmid:30665440
  37. 37. Buregyeya E, Naigino R, Mukose A, Makumbi F, Esiru G, Arinaitwe J, et al. Facilitators and barriers to uptake and adherence to lifelong antiretroviral therapy among HIV infected pregnant women in Uganda: a qualitative study. BMC Pregnancy Childbirth. 2017 Mar 21;17(1):94. pmid:28320347
  38. 38. Duff P, Kipp W, Wild TC, Rubaale T, Okech-Ojony J. Barriers to accessing highly active antiretroviral therapy by HIV-positive women attending an antenatal clinic in a regional hospital in western Uganda. J Int AIDS Soc. 2010 Sep 23;13:37. pmid:20863399
  39. 39. Dzansi G, Tornu E, Chipps J. Promoters and inhibitors of treatment adherence among HIV/AIDS patients receiving antiretroviral therapy in Ghana: Narratives from an underserved population. PLOS ONE. 2020 Mar 6;15(3):e0230159. pmid:32142549
  40. 40. Essomba EN, Adiogo D, Koum DCK, Amang B, Lehman LG, Coppieters Y. Facteurs associés à la non observance thérapeutique des sujets adultes infectés par le VIH sous antirétroviraux dans un hôpital de référence à Douala. Pan Afr Med J [Internet]. 2015 Apr 27 [cited 2023 Jul 21];20(412). Available from: https://www.panafrican-med-journal.com/content/article/20/412/full
  41. 41. Idindil B, Jullu B, Mugusi F, Tanner M. A case-control study of factors associated with non-adherent to antiretroviral therapy among HIV infected people in Pwani Region, eastern Tanzania. Tanzan J Health Res. 2012 Jul;14(3):194–203. pmid:26591757
  42. 42. Kagee A, Nothling J, Coetzee B. The perspectives of users of antiretroviral therapy on structural barriers to adherence in South Africa. South Afr Fam Pract. 2012 Nov 1;54(6):540–4.
  43. 43. Kim MH, Zhou A, Mazenga A, Ahmed S, Markham C, Zomba G, et al. Why Did I Stop? Barriers and Facilitators to Uptake and Adherence to ART in Option B+ HIV Care in Lilongwe, Malawi. PLOS ONE. 2016 Feb 22;11(2):e0149527. pmid:26901563
  44. 44. Koole O, Denison JA, Menten J, Tsui S, Wabwire-Mangen F, Kwesigabo G, et al. Reasons for Missing Antiretroviral Therapy: Results from a Multi-Country Study in Tanzania, Uganda, and Zambia. PLOS ONE. 2016 Jan 20;11(1):e0147309. pmid:26788919
  45. 45. Mabunda K, Ngasama E, Babalola J, Zunza M, Nyasulu P. Determinants of adherence to antiretroviral treatment among human immunodeficiency virus infected young adults attending care at Letaba Hospital HIV Clinic, Limpopo Province, South Africa. Pan Afr Med J [Internet]. 2019 Jan 18 [cited 2023 Jul 21];32(37). Available from: https://www.panafrican-med-journal.com/content/article/32/37/full
  46. 46. Masa R, Chowa G, Nyirenda V. Barriers and facilitators of antiretroviral therapy adherence in rural Eastern province, Zambia: the role of household economic status. Afr J AIDS Res AJAR. 2017 Jul;16(2):91–9. pmid:28639469
  47. 47. Miller CM, Ketlhapile M, Rybasack-Smith H, Rosen S. Why are antiretroviral treatment patients lost to follow-up? A qualitative study from South Africa. Trop Med Int Health. 2010;15(s1):48–54. pmid:20586960
  48. 48. Mitiku H, Abdosh T, Teklemariam Z. Factors affecting adherence to antiretroviral treatment in harari national regional state, eastern ethiopia. Isrn Aids. 2013;2013:960954. pmid:24052892
  49. 49. Moomba K, van Wyk B. Social and economic barriers to adherence among patients at Livingstone General Hospital in Zambia. Afr J Prim Health Care Fam Med. 2019 Apr 16;11(1):6. pmid:31038336
  50. 50. Mtetwa S, Busza J, Chidiya S, Mungofa S, Cowan F. “You are wasting our drugs”: health service barriers to HIV treatment for sex workers in Zimbabwe. BMC Public Health. 2013 Jul 31;13(1):698. pmid:23898942
  51. 51. Ndirangu JW, Gichane MW, Browne FA, Bonner CP, Zule WA, Cox EN, et al. ‘We have goals but [it is difficult]’. Barriers to antiretroviral therapy adherence among women using alcohol and other drugs living with HIV in South Africa. Health Expect Int J Public Particip Health Care Health Policy. 2022 Apr;25(2):754–63. pmid:35060260
  52. 52. Ngarina M, Popenoe R, Kilewo C, Biberfeld G, Ekstrom AM. Reasons for poor adherence to antiretroviral therapy postnatally in HIV-1 infected women treated for their own health: experiences from the Mitra Plus study in Tanzania. BMC Public Health. 2013 May 7;13(1):450. pmid:23647555
  53. 53. Nsoh M, Tshimwanga KE, Ngum BA, Mgasa A, Otieno MO, Moali B, et al. Predictors of antiretroviral therapy interruptions and factors influencing return to care at the Nkolndongo Health District, Cameroon. Afr Health Sci. 2021 May;21(Suppl):29–38. pmid:34447421
  54. 54. Okoronkwo I, Okeke U, Chinweuba A, Iheanacho P. Nonadherence Factors and Sociodemographic Characteristics of HIV-Infected Adults Receiving Antiretroviral Therapy in Nnamdi Azikiwe University Teaching Hospital, Nnewi, Nigeria. Isrn Aids. 2013;2013:843794. pmid:24369526
  55. 55. Rasmussen DN, da Silva Té D, Rodkjaer L, Oliveira I, Medina C, Barfod T, et al. Barriers and facilitators to antiretroviral therapy adherence among patients with HIV in Bissau, Guinea-Bissau: A qualitative study. Afr J AIDS Res AJAR. 2013 Mar;12(1):1–8. pmid:25871305
  56. 56. Schatz E, Seeley J, Negin J, Weiss HA, Tumwekwase G, Kabunga E, et al. “For us here, we remind ourselves”: strategies and barriers to ART access and adherence among older Ugandans. BMC Public Health. 2019 Jan 31;19(1):131. pmid:30704445
  57. 57. Tsega B, Srikanth BA, Shewamene Z. Determinants of non-adherence to antiretroviral therapy in adult hospitalized patients, Northwest Ethiopia. Patient Prefer Adherence. 2015 Mar 5;9:373–80. pmid:25784793
  58. 58. Wakibi SN, Ng’ang’a ZW, Mbugua GG. Factors associated with non-adherence to highly active antiretroviral therapy in Nairobi, Kenya. AIDS Res Ther. 2011 Dec 5;8(1):43. pmid:22141425
  59. 59. Weiser SD, Tuller DM, Frongillo EA, Senkungu J, Mukiibi N, Bangsberg DR. Food Insecurity as a Barrier to Sustained Antiretroviral Therapy Adherence in Uganda. PLOS ONE. 2010 Apr 28;5(4):e10340. pmid:20442769
  60. 60. Maduka O, Tobin-West CI. Adherence counseling and reminder text messages improve uptake of antiretroviral therapy in a tertiary hospital in Nigeria. Niger J Clin Pract. 2013;16(3):302–8. pmid:23771450
  61. 61. Graham SM, Micheni M, Chirro O, Nzioka J, Secor AM, Mugo PM, et al. A Randomized Controlled Trial of the Shikamana Intervention to Promote Antiretroviral Therapy Adherence among Gay, Bisexual, and Other Men Who Have Sex with Men in Kenya: Feasibility, Acceptability, Safety and Initial Effect Size. AIDS Behav. 2020 Jul;24(7):2206–19. pmid:31965432
  62. 62. Fahey CA, Njau PF, Katabaro E, Mfaume RS, Ulenga N, Mwenda N, et al. Financial incentives to promote retention in care and viral suppression in adults with HIV initiating antiretroviral therapy in Tanzania: a three-arm randomised controlled trial. Lancet HIV. 2020 Nov 1;7(11):e762–71. pmid:32891234
  63. 63. Linnemayr S, Stecher C, Mukasa B. Behavioral economic incentives to improve adherence to antiretroviral medication. AIDS. 2017 Mar 13;31(5):719. pmid:28225450
  64. 64. Mbuagbaw L, Thabane L, Ongolo-Zogo P, Lester RT, Mills EJ, Smieja M, et al. The Cameroon Mobile Phone SMS (CAMPS) Trial: A Randomized Trial of Text Messaging versus Usual Care for Adherence to Antiretroviral Therapy. PLOS ONE. 2012 Dec 6;7(12):e46909. pmid:23236345
  65. 65. Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. The Lancet. 2010 Nov 27;376(9755):1838–45. pmid:21071074
  66. 66. Abiodun O, Ladi-Akinyemi B, Olu-Abiodun O, Sotunsa J, Bamidele F, Adepoju A, et al. A Single-Blind, Parallel Design RCT to Assess the Effectiveness of SMS Reminders in Improving ART Adherence Among Adolescents Living with HIV (STARTA Trial). J Adolesc Health. 2021 Apr 1;68(4):728–36. pmid:33342719
  67. 67. Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011 Mar 27;25(6):825. pmid:21252632
  68. 68. Reid MJA, Steenhoff AP, Thompson J, Gabaitiri L, Cary MS, Steele K, et al. Evaluation of the effect of cellular SMS reminders on consistency of antiretroviral therapy pharmacy pickups in HIV-infected adults in Botswana: a randomized controlled trial. Health Psychol Behav Med. 2017 Jan 1;5(1):101–9. pmid:28966882
  69. 69. Sumari-de Boer IM, Ngowi KM, Sonda TB, et al. Effect of Digital Adherence Tools on Adherence to Antiretroviral Treatment Among Adults Living With HIV in Kilimanjaro, Tanzania: A Randomized Controlled Trial. JAIDS J Acquir Immune Defic Syndr. 2021 Aug 15;87(5):1136. pmid:33871411
  70. 70. Magidson JF, Joska JA, Belus JM, Andersen LS, Regenauer KS, Rose AL, et al. Project Khanya: results from a pilot randomized type 1 hybrid effectiveness-implementation trial of a peer-delivered behavioural intervention for ART adherence and substance use in HIV care in South Africa. J Int AIDS Soc. 2021;24(S2):e25720. pmid:34164935
  71. 71. Barnabas RV, Szpiro AA, van Rooyen H, Asiimwe S, Pillay D, Ware NC, et al. Community-based antiretroviral therapy versus standard clinic-based services for HIV in South Africa and Uganda (DO ART): a randomised trial. Lancet Glob Health. 2020 Oct 1;8(10):e1305–15. pmid:32971053
  72. 72. Orrell C, Cohen K, Mauff K, Bangsberg DR, Maartens G, Wood R. A Randomized Controlled Trial of Real-Time Electronic Adherence Monitoring With Text Message Dosing Reminders in People Starting First-Line Antiretroviral Therapy. JAIDS J Acquir Immune Defic Syndr. 2015 Dec 15;70(5):495. pmid:26218411
  73. 73. Peltzer K, Ramlagan S, Jones D, Weiss SM, Fomundam H, Chanetsa L. Efficacy of a lay health worker led group antiretroviral medication adherence training among non-adherent HIV-positive patients in KwaZulu-Natal, South Africa: Results from a randomized trial. SAHARA-J J Soc Asp HIVAIDS. 2012 Nov 1;9(4):218–26. pmid:23234350
  74. 74. Tirivayi N, Koethe JR, Groot W. Clinic-Based Food Assistance is Associated with Increased Medication Adherence among HIV-Infected Adults on Long-Term Antiretroviral Therapy in Zambia. J AIDS Clin Res. 2012;3(7):171. pmid:23227443
  75. 75. Berg KM, Demas PA, Howard AA, Schoenbaum EE, Gourevitch MN, Arnsten JH. Gender Differences in Factors Associated with Adherence to Antiretroviral Therapy. J Gen Intern Med. 2004;19(11):1111–7. pmid:15566440
  76. 76. Desta AA, Kidane KM, Woldegebriel AG, Ajemu KF, Berhe AA, Zgita DN, et al. Level of Adherence and Associated Factors Among HIV-Infected Patients on Antiretroviral Therapy in Northern Ethiopia: Retrospective Analysis. Patient Prefer Adherence. 2020 Sep 3;14:1585–94. pmid:32943850
  77. 77. The Ontario HIV Treatment Network. Impact of nonadherence to antiretroviral therapy (ART) on population-level health outcomes–The Ontario HIV Treatment Network [Internet]. 2023 [cited 2023 Mar 7]. https://www.ohtn.on.ca/rapid-response-impact-of-nonadherence-to-antiretroviral-therapy-art-on-population-level-health-outcomes/
  78. 78. Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM. Adherence to Antiretroviral Therapy and Virologic Failure: A Meta-Analysis. Medicine (Baltimore). 2016 Apr;95(15):e3361. pmid:27082595
  79. 79. Posse M, Meheus F, Asten HV, Ven AVD, Baltussen R. Barriers to access to antiretroviral treatment in developing countries: a review. Trop Med Int Health. 2008;13(7):904–13. pmid:18466183
  80. 80. Mbuagbaw L, Thabane L, Ongolo-Zogo P, Yondo D, Noorduyn S, Smieja M, et al. Trends and determining factors associated with adherence to antiretroviral therapy (ART) in Cameroon: a systematic review and analysis of the CAMPS trial. AIDS Res Ther. 2012 Dec 19;9:37. pmid:23253095
  81. 81. Nyoni T, Sallah YH, Okumu M, Byansi W, Lipsey K, Small E. The effectiveness of treatment supporter interventions in antiretroviral treatment adherence in sub-Saharan Africa: a systematic review and meta-Analysis. AIDS Care. 2020 May;32(sup2):214–27. pmid:32196385
  82. 82. Damulak PP, Ismail S, Abdul Manaf R, Mohd Said S, Agbaji O. Interventions to Improve Adherence to Antiretroviral Therapy (ART) in Sub-Saharan Africa: An Updated Systematic Review. Int J Environ Res Public Health. 2021 Mar 3;18(5):2477. pmid:33802322
  83. 83. Lankowski AJ, Siedner MJ, Bangsberg DR, Tsai AC. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014 Jul;18(7):1199–223. pmid:24563115
  84. 84. Singer AW, Weiser SD, McCoy SI. Does Food Insecurity Undermine Adherence to Antiretroviral Therapy? A Systematic Review. AIDS Behav. 2015 Aug 1;19(8):1510–26.
  85. 85. Nakimuli-Mpungu E, Bass JK, Alexandre P, Mills EJ, Musisi S, Ram M, et al. Depression, alcohol use and adherence to antiretroviral therapy in sub-Saharan Africa: a systematic review. AIDS Behav. 2012 Nov;16(8):2101–18. pmid:22116638
  86. 86. Croome N, Ahluwalia M, Hughes LD, Abas M. Patient-reported barriers and facilitators to antiretroviral adherence in sub-Saharan Africa. AIDS Lond Engl. 2017 Apr 24;31(7):995–1007. pmid:28121707
  87. 87. Mathes T, Antoine SL, Pieper D. Adherence-enhancing interventions for active antiretroviral therapy in sub-Saharan Africa: a systematic review and meta-analysis. Sex Health Online. 2014;11(3):230–9. pmid:24966025
  88. 88. Adugna Wubneh C, Dessalegn Mekonnen B, Wesenyeleh Delelegn M, Asmare Atalell K. Adherence to option B+ and its association with disclosure status and counseling among HIV-positive pregnant and lactating women in Ethiopia: systematic review and meta-analysis. Public Health. 2022 Oct;211:105–13. pmid:36058198
  89. 89. Muhula S, Gachohi J, Kombe Y, Karanja S. Interventions to improve early retention of patients in antiretroviral therapy programmes in sub-Saharan Africa: A systematic review. PLoS ONE. 2022 Feb 9;17(2):e0263663. pmid:35139118
  90. 90. Chimatira R, Ross A. A rapid review and synthesis of the effectiveness of programmes initiating community-based antiretroviral therapy in sub-Saharan Africa. South Afr J HIV Med. 2020 Nov 5;21(1):1153. pmid:33240539
  91. 91. Nachega JB, Adetokunboh O, Uthman OA, Knowlton AW, Altice FL, Schechter M, et al. Community-Based Interventions to Improve and Sustain Antiretroviral Therapy Adherence, Retention in HIV Care and Clinical Outcomes in Low- and Middle-Income Countries for Achieving the UNAIDS 90-90-90 Targets. Curr HIV/AIDS Rep. 2016 Oct;13(5):241–55. pmid:27475643