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The Role of Depression Screening and Treatment in Achieving the UNAIDS 90–90–90 Goals in Sub-Saharan Africa

  • Kazione KulisewaEmail author
  • Melissa A. Stockton
  • Mina C. Hosseinipour
  • Bradley N. Gaynes
  • Steve Mphonda
  • Michael M. Udedi
  • Brian W. Pence
Open Access
Original Paper

Abstract

Despite widespread HIV screening and treatment programs across sub-Saharan Africa, many countries are not on course to meet the Joint United Nations Program on HIV/AIDS 90–90–90 targets. As mental health disorders such as depression are prevalent among people living with HIV, investment in understanding and addressing comorbid depression is increasing. This manuscript aims to assess depression and HIV management in sub-Saharan Africa using a 90–90–90 lens through a discussion of: depression and the HIV care continuum; the state of depression screening and treatment; and innovations such as task-shifting strategies for depression management. Due to the lack of mental health infrastructure and human resources, task-shifting approaches that integrate mental health management into existing primary and community health programs are increasingly being piloted and adopted across the region. Greater integration of such mental health care task-shifting into HIV programs will be critical to realizing the 90–90–90 goals and ending the HIV epidemic.

Keywords

Mental health disorders Depression Sub-Saharan Africa HIV/AIDS UNAIDS 90–90–90 

Introduction

Despite widespread HIV screening and improved treatment programs across sub-Saharan Africa (SSA), many countries are not on course to meet the Joint United Nations Program on HIV/AIDS (UNAIDS) 90–90–90 targets. Mental health problems—particularly depression—remain a prevalent comorbidity in people living with HIV (PLHIV), directly impacting their quality of life and hampering each 90–90–90 goal from diagnosis to enrollment and retention in treatment, and ultimately viral suppression. This suggests HIV treatment programs in SSA will have to embrace innovations that address mental health challenges.

This manuscript aims to assess depression and HIV management using a 90–90–90 lens due to the high prevalence of depression [1] and its importance as a public health burden [2, 3]. First, we will provide some background on HIV and mental health care in SSA. Next, we will discuss depression as it relates to the HIV care continuum, with a particular focus on the 90–90–90 targets. We then will provide an overview of the state of depression screening and management in SSA. Finally, we will describe task-shifting strategies for managing depression among PLHIV and highlight an example of one such program that is integrating depression screening and treatment into HIV care initiation in Lilongwe, Malawi.

Background

Burden of HIV in SSA

Of the 36.7 million PLHIV globally in 2015 [4], an estimated 25.5 million resided in the sub-Saharan region [4, 5]. This region still accounted for 66% of the 2.1 million new infections and 800,000 of the 1.1 million HIV-related deaths registered that year [4]. As in other countries, up to 40% of HIV-positive individuals were unaware of their HIV status [6], and of those confirmed to be living with HIV, less than half were on antiretroviral treatment (ART) [4].

These figures demonstrate progress in the fight against HIV, especially in light of the reduced mortality rates, averaging a 39% reduction in HIV-related mortality between 2005 and 2013 [5, 7]. However, the high morbidity of the epidemic continues to burden sub-Saharan communities, hampering the economic productivity of some of the world’s least resourced and low-income countries [6].

UNAIDS introduced the 90–90–90 goals in 2013 to help guide efforts to end the HIV epidemic by 2030. These targets aim to ensure 90% of PLHIV know their status, 90% of those diagnosed with HIV receive sustained ART, and 90% of individuals on ART are virally suppressed by 2020 [8]. To achieve these goals, health systems need to adopt innovations to tackle barriers that have hitherto been under-recognized or unaddressed. The role and impact of co-morbid mental health disorders in HIV treatment is one such area that is increasingly being recognized [9].

Mental Health Disorders and HIV

Mental health disorders are diverse conditions that present with abnormalities of thought, emotion and behavior, frequently impairing the function of the individual [10]. Mental health disorders and HIV frequently co-exist. Various studies from African countries have estimated that the prevalence of mental health problems in PLHIV range from 19% [11] to about 50% [1]. One aspect of the complex relationship between mental disorders and HIV is that individuals with mental health or substance use disorders are more likely to engage in behaviors that may increase their risk of acquiring HIV and transmitting the virus, and are less likely to engage with healthcare providers [12].

Improvements in HIV care, namely widespread programs which encourage proactive and provider-initiated HIV testing as well as early and immediate initiation of ART, can potentially render HIV a chronic and manageable disease. However, as seen with other chronic medical conditions, mental health disorders are common, with the lifetime prevalence of any mental health disorder in HIV-positive populations estimated to range from 38 to 75% [12, 13]. While psychiatric conditions can occur at any stage of HIV infection, they tend to be more prevalent with HIV progression and end-stage disease [12, 14].

The considerable overlap in symptomatology between HIV and the somatic symptoms that feature in common mental health disorders complicates the picture, with HIV care providers frequently under-recognizing the potential burden of comorbid mental health disorders in PLHIV [12]. Unrecognized and untreated, mental health disorders have the potential to impact the entire HIV care continuum from HIV prevention strategies, to diagnosis and retention in ART programs. Although potentially any mental health disorder may have an influential association with HIV, the World Health Organization (WHO) emphasizes the importance of neurocognitive disorders, substance use disorders and depression [15]. The focus here will be on depression, as it has the highest burden of disease globally and in SSA [16].

Depression

Depression is very common, with a lifetime prevalence in the global general population estimated at 15–22% [12, 17]. Among individuals with chronic illness such as HIV, depression is even more common [12, 18], estimated to be two to three times more prevalent [19].Various global studies have reported the prevalence of depressive disorders and symptoms in PLHIV to range from 9 to 45%, the variance largely attributed to different diagnostic or screening tools [12, 19, 20].

Poverty and stressful life events have well recognized associations with depression. High rates of these same factors are also observed in PLHIV [19, 21]. However, the relationship between HIV and depression goes beyond common risk factors. Evidence shows that depression can precede infection and is associated with risk factors for HIV acquisition [18]. Further, depression can directly impact HIV clinical progression and is associated with higher morbidity and mortality [21]. Reciprocally, discrimination and stigma remain prevalent among PLHIV, HIV-related stigma when internalized makes depression a likely outcome [22, 23]. The chronic debilitating nature of HIV infection in itself can precipitate depression [18]. Unsurprisingly, depression is the most common psychiatric comorbidity in PLHIV.

Innovations in Tackling the HIV Epidemic

Conventional approaches to HIV management have involved counseling adherence, monitoring viral loads and CD4 counts, and a focus on treating opportunistic infections. A mounting evidence base suggests that mental health monitoring is equally important to achieving optimal HIV care outcomes [9, 21].

Depression and HIV in SSA: Prevalence, Associations, Challenges and Opportunities

Prevalence of Depression

The body of regional literature exploring the relationship between comorbid depression and HIV is a growing one. Several studies conducted in SSA have demonstrated that depression is pervasive among PLHIV. A recent systematic review reported the prevalence of major depressive disorder to range between 13 and 24% and subthreshold depressive symptoms to range between 9 and 32% [19]. Similar prevalences have been reported by other sub-Saharan studies [24, 25].

Depression and HIV Testing (‘First 90’)

To date, few studies have investigated the influence of depression on HIV testing. One study conducted in South Africa found that patients with severe depression had higher odds of late testing, defined as presenting within 3 months of diagnosis with a CD4 count ≤ 200, as compared to those without depression [26]. Outside of SSA, a study conducted in Nepal found an association between non-utilization of HIV testing and counseling and depression among female sex workers [27]. Some studies suggest that depression is associated with reduced or delayed mental health care-seeking behavior [28, 29, 30]. Any reduction in care-seeking behaviors could potentially have an impact on HIV testing rates in settings such as SSA that utilize every interaction with the health system as an opportunity to refer patients for HIV testing. While research is needed to better understand depression at the community level as it relates to HIV testing, there is some evidence to suggest depression may ultimately undermine HIV testing and the ‘First 90.’

Depression, Linkage to ART, and ART Adherence (‘Second 90’)

Several studies have demonstrated that depressed individuals are less likely to be linked to ART care or start treatment [26, 31, 32, 33]. One study conducted in South Africa found that depressed individuals had higher odds of waiting at least 3 months following an HIV diagnosis to initiate ART compared to their non-depressed counterparts [26]. Another study conducted in South Africa found individuals with depressive symptoms, who were referred for HIV testing by a healthcare provider, were less likely to obtain a CD4 count—the first step in initiating care—than those with no depressive symptoms who self-referred for testing [32]. Some research has hypothesized that this trend is due to depressed individuals being unprepared or unable to cope with their diagnosis [34].

Depression has consistently been shown to have a significant association with poor adherence to ART [20, 35]. While the reasons for this association are not fully clear, the loss of interest, poor concentration, poor motivation and suicidality—which are characteristic of depression—are all plausible factors which can impair adherence [17, 20].

Unlike most medications which require adherence levels exceeding 80% to achieve the desired clinical effect, ART requires much higher adherence levels (ideally exceeding 95%), and non-adherence increases the risk of treatment failure and viral resistance [12, 36, 37]. The chronicity of HIV means that this needs to be sustained lifelong adherence. A systematic review of SSA literature established that PLHIV with untreated depression were 55% less likely to be adherent to ART as compared to their peers not suffering from depression [25].

Successful management of depression can improve ART adherence; several studies have reported that a decrease in depressive symptoms was associated with improved ART adherence [2, 12, 35, 38]. Untreated depression may hamper early linkage to care and ART adherence thereby impede achievement of the ‘Second 90’ target.

Depression, Viral Suppression (‘Third 90’), Clinical Outcomes and Mortality

HIV clinical outcomes improve with the treatment of depression. One of the few studies conducted in SSA exploring the effect of depression management among PLHIV reported improved CD4 counts, viral suppression, and a four-fold improvement in the proportion reporting good health in a cohort of Cameroonian HIV-positive patients who received 4 months of antidepressant treatment [2].

In the pre-ART era, studies in high-income countries showed that men who have sex with men (MSM) living with HIV showed faster HIV progression if they had comorbid depression. The risk of AIDS-related mortality was particularly high in the presence of prominent depressive somatic symptoms [21]. These findings are suggestive that the impact of depression on HIV progression is mediated through more than impaired adherence to ART.

Despite profound improvements in mortality due to increased access and earlier initiation of ART currently, PLHIV with comorbid depression remain at a two-fold higher risk of death from AIDS-associated causes as compared to their non-depressed counterparts [21, 39, 40, 41, 42]. Conversely, PLHIV who demonstrate positive affect or who have been managed for depression are known to be less likely to die from AIDS complications [21]. Untreated depression likely has a negative effect on immunological response and viral suppression, being associated with greater declines in CD4 counts and increases in viral load [21].

Depression appears to be a significant barrier to sustained engagement in HIV care [40, 43]. The extensive literature on the relationship between depression and ART adherence emphasizes that the ‘Second 90’ and ‘Third 90’ targets—which address retention in care, sustained ART and viral suppression [8]—are unlikely to be achieved without treating depression.

Integrating Mental Health Management into HIV care in SSA

Depression Screening Among PLHIV in SSA

Various tools have been developed or adapted and validated in SSA for the screening of depression in various populations. Of particular relevance are the screening tools that have been shown to have utility among PLHIV.

In Malawi and Zimbabwe, vernacular versions of the Edinburgh Postnatal Depression Scale (EPDS) have been validated and are administered by healthcare providers in light of low patient literacy [44, 45]. Use of the EPDS is increasingly being advocated in routine antenatal and postnatal care in areas of high HIV prevalence [45].

The Patient Health Questionnaire-9 (PHQ-9) has shown value as a screening tool in a variety of global settings. Importantly, it has been successfully adapted and validated in diverse sub-Saharan settings among PLHIV. Although it has demonstrated variable sensitivity, the PHQ-9 has shown acceptable specificity and acceptable ease of use by non-specialized primary healthcare workers [46, 47].

Although much of the research around depression and HIV has targeted adults while ignoring the high prevalence of HIV among adolescents in SSA, a vernacular version of the Beck Depression Inventory-II has been developed for use in Malawian children and adolescents [48].

Depression Management

A 2011 systematic review of depression interventions found that psychological interventions, especially cognitive-behavioral therapy, were particularly effective in treating comorbid depression in PLHIV, while psychotropic medication had a somewhat less impressive evidence base [18]. However, a separate meta-analysis supports the efficacy of antidepressants for HIV-positive individuals [49].

Strikingly, 90% of the literature was from high-income North American and European countries, and a significant proportion of the studies (35%) had been conducted with MSM or bisexual populations [18]. SSA, despite having much of the global burden of HIV, is disproportionately under-represented in the literature. Furthermore, the overwhelming modes of HIV transmission in Africa are heterosexual or mother-to-child-transmission. Arguably, Western evidence-based interventions may not demonstrate similar efficacy when adopted in sub-Saharan populations.

While not an exhaustive list of the interventions developed for management of depression regionally, we will describe some interventions that have shown efficacy in sub-Saharan populations living with HIV.

‘The Friendship Bench’ is a psychosocial innovation based on problem-solving therapy that was developed in Zimbabwe. A low-cost intervention that is delivered by lay individuals, including grandmothers—in what may be viewed as a reprising of their familiar cultural roles as advisors—the Friendship Bench has a good evidence base for its efficacy in managing common mental health disorders and depression symptoms in both HIV-uninfected populations and PLHIV [50]. It has particular appeal in sub-Saharan settings because of its cultural relevance and low cost, suggesting positive implications for sustainability [50, 51].

Similarly, in Tanzania, a 6-week intervention using group counseling with elements of problem-solving therapy in antenatal women living with HIV has shown modest efficacy in reducing depressive symptoms as compared to the usual standard of care pre- and post-HIV test counseling [52]. Group counseling has also been piloted in South Africa, where lay HIV counselors trained in an adapted interpersonal therapy intervention have facilitated group therapy of demographically heterogeneous adult PLHIV over eight sessions to effectively reduce symptoms of depression [3].

Other group work with PLHIV and comorbid depression has occurred in Uganda with the development of group support psychotherapy (GSP). This is a combined approach that, amongst other elements, integrates theories from cognitive-behavioral therapy and social learning to address low income, deficits of social support and coping skills which may be perpetuating factors in depressed PLHIV. The effects of GSP can be sustained, with treated individuals exhibiting improved functionality and lower depressive scores 6 months after the last session of the intervention [53].

Although depression directly impacts ART adherence, the evidence base suggests that simply treating depression in isolation doesn’t necessarily improve adherence [54]. Accordingly, some regional interventions have used approaches that target both adherence and depression symptoms. Life-Steps is a brief single session intervention that improves ART adherence primarily through cognitive-behavioral techniques including motivational interviewing, psychoeducation and problem-solving strategies to overcome barriers to ART adherence. Nzira Itsva (Shona for ‘New Direction’) is an innovation adapted from Life-Steps that is delivered by lay counselors, consisting of a single session which can be augmented with subsequent ‘booster’ sessions that has been trialed in Zimbabwe [55]. While the efficacy of Nzira Itsva in improving adherence is yet to be established, ART clients have found the program acceptable.

Building on Nzira Itsva and the Friendship Bench, a Zimbabwean trial combined both interventions to produce a stepped care model. ART counselors administered an initial session of problem-solving therapy specifically targeting poor adherence and subsequently followed this up with three depression-specific problem-solving therapy sessions. ART counselors referred patients with inadequate remission of depression symptoms after four sessions to a clinical psychologist who provided a further two sessions. Patients who manifested with significant symptomatology after a 6-week intervention were eligible for referral to a psychiatrist and possible antidepressant initiation [54].

An alternative South African approach to addressing adherence and depressive symptoms is Ziphamandla (meaning ‘Empower Yourself’). Structured, manualized cognitive behavioral therapy is delivered by nurse practitioners under weekly supervision from mental health specialists. Using this approach, patients have demonstrated sustained ART adherence and improvement in depressive symptoms [56].

Measurement-based care (MBC) is an evidence-based algorithm in which non-psychiatric primary healthcare workers prescribe and manage antidepressants. Decision-making is guided by two criteria: depression symptom level—as assessed by a standardized tool—and side effect presence and severity. Clinical success using these task-shifting methods has been reported in several American trials and a pilot in Cameroon showed good clinical outcomes in PLHIV, with improved immunological and virological response after 4 months of MBC [2]. MBC has also been successfully piloted in Tanzania [57] and evaluated in a 10-site clinic-randomized trial in Uganda [58].

Task-shifting Approaches to Combat Deficits in Mental Health Resources

As emphasized above, mental health disorders contribute significantly to the burden of disease regardless of HIV status in SSA, yet the region has little mental health infrastructure and human resource capacity to address this burden [2, 59, 60, 61]. In a region with 0.05 psychiatrists per 100,000 population, it is estimated that 75% of the individuals requiring mental health interventions are not accessing them [2].

An approach to this disparity recommended by the WHO is the integration of mental health services into existing primary and community health services [61]. Improving the capacity of general clinicians [62] and primary health and lay health workers to effectively screen and manage common mental health disorders is a practical and cost-effective method of scaling up mental health services and tackling the vast treatment gap. Bringing mental health to the community further serves to address the discrimination and stigma that have traditionally been associated with psychiatric disorders [61].

In Malawi, such approaches have been piloted and have led to improved mental health knowledge and perceived self-efficacy in managing mental health disorders in community lay health workers [61]. Similarly, in Zimbabwe and South Africa, lay healthcare workers provide psychosocial interventions to PLHIV, which have been shown to be effective in reducing symptoms of common mental health disorders [3, 51]. Task-shifting to trained primary healthcare workers also allowed successful delivery of antidepressants to PLHIV in Cameroon [2].

A Project SOAR Case Study: Integrating Depression Screening and Management into HIV Care in Malawi

Successful HIV programs in Malawi have now reduced the adult HIV prevalence to 9.2% as of 2016. As compared to 2010 data, new HIV infections and deaths have declined by 46% and 39%, respectively [63]. However, HIV testing, ART adherence and retention in care remain problematic with estimates suggesting that among the country’s one million individuals currently living with HIV, only 66% are on sustained ART and 59% have achieved viral suppression [63]. Addressing and managing the mental health conditions prevalent among those who do access HIV testing may be key to attaining the UNAIDS-90–90–90 goals.

Supported by Project SOAR, a funding portfolio from the United States President’s Emergency Plan for AIDS Relief (PEPFAR) and the United States Agency for International Development (USAID), we are evaluating Malawi’s first program that integrates depression screening and management into HIV care initiation. The project addresses the paucity of mental health and HIV literature in Malawi by establishing the prevalence of depression among patients newly initiating ART, assesses how integration of ART and depression care services can be implemented, improves the capacity of primary health workers in screening and managing depression, and evaluates the impact of integrated HIV and depression services on HIV clinical outcomes (including appointment attendance and viral suppression). The project utilizes depression management interventions that have been proven to be effective in the region.

In line with screening approaches used in other SSA countries, we adapted the PHQ-9 to screen and monitor depression [46, 64]. A Chichewa (the vernacular of the central region of Malawi) version of the PHQ-9 first underwent a process of cultural validation for use among patients with diabetes [65]. We further refined this tool for use in HIV care clinics through an iterative process that involved observation of clinical PHQ-9 administration and qualitative assessment to arrive at a screening tool that adequately captures the depressive symptoms, yet is culturally understandable [66]. HIV testing counselors administer the first two questions of the PHQ-9, known as the PHQ-2, which screen for the core symptoms of depressed mood or anhedonia, during HIV post-test counseling. ART providers (clinicians and nurses) administer the remaining seven questions of the PQH-9 during ART initiation to patients who endorsed at least one of the PHQ-2 questions. The adapted tool considers PHQ-9 scores of 5–9 as indicative of mild depression and scores of ≥ 10 as moderate to severe depression. Since March 2017, the two pilot health centers in the district of Lilongwe have consistently used the Chichewa language PHQ-9 to screen patients initiating ART for depression.

As part of this program, we trained healthcare providers to manage depressed PLHIV through either psychosocial interventions or antidepressant medication. Through regional collaboration with ‘The Friendship Bench’ developers, we trained lay community healthcare workers to provide problem-solving therapy to patients with mild depression. ‘The Friendship Bench’ in the Malawian context consists of six one-on-one sessions lasting 45–60 min and held monthly on clinic premises with community health workers over a period of 6 months. We trained ART providers to use MBC to manage moderate to severe depression with a prescription algorithm that uses PHQ-9 scores (to monitor depressive symptoms) and side effect severity to guide antidepressant prescription and adjustment. Providers prescribe sustainable, freely available antidepressants (amitriptyline or fluoxetine) that are included on the country’s list of essential drugs [67].

Preliminary results have demonstrated successful adoption of the screening tool, with 92% of 2414 newly diagnosed PLHIV completing the initial PHQ-2 screen (n = 2216) between April 2017 and November 2018. Among the 2080 patients who were enrolled in the program evaluation and completed the initial PHQ-2 screen, 24% (n = 502) had mild to severe depression and 6% (n = 131) had moderate to severe depression. Although not formally evaluated, the knowledge and attitudes of primary healthcare workers toward mental health disorders appear to have positively changed as their capacity to screen and recognize depression has increased. From an implementation perspective, the integration of depression screening within HIV care clinics appears a feasible and acceptable innovation as reflected by the proportion of PLHIV who are completing the screening tool with minimal disruption of workload and clinic flow. Currently the program is evaluating the clinical outcomes of the intervention with respect to retention in HIV care, viral suppression, and depression remission.

Conclusion

As mental health disorders such as depression are highly prevalent in PLHIV, the role and impact of comorbid mental health disorders in the HIV continuum of care is an increasingly recognized area which has the potential to positively influence the response to HIV. Although limited research has focused on the impact of current mental disorders on HIV testing (‘First 90’), the literature suggests that comorbid depression plays a pivotal role in reducing engagement with health services, influencing early loss to care and poor adherence among patients receiving ART (‘Second 90’). There is also compelling evidence that depression has an adverse effect on viral suppression (‘Third 90’) and immunity leading to greater rates of HIV-related mortality. The UNAIDS 90–90–90 goals may not be achieved without the necessary focus and resource allocation to address the depressive disorders that frequently co-exist in PLHIV.

Sub-Saharan Africa, which accounts for the greatest burden of HIV-related disease globally, also suffers from a lack of mental health infrastructure and human resource to tackle comorbid mental health disorders in PLHIV. To address this disparity, task-shifting approaches that aim to integrate mental health management into existing primary and community health programs are increasingly being piloted and adopted across the region. Greater integration of such task-shifting mental health care approaches into ongoing HIV care will be critical to fully realize the UNAIDS 90–90–90 goals and end the HIV epidemic. As mental health disorders remain highly stigmatized in SSA, integration of mental health care also represents a unique opportunity to educate health care providers about mental health and combat negative attitudes.

Notes

Funding

This work was supported by Project SOAR (cooperative agreement AID-OAA-140060) and made possible by the generous support of the American people through the President’s Emergency Plan for AIDS Relief (PEPFAR) and United States Agency for International Development (USAID). The contents of this paper are the sole responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government.

Compliance with Ethical Standards

Conflicts of interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the Malawian and US ethical standards for research in human subjects and with the 1964 Helsinki declaration and its later amendments. The Project SOAR study was approved by National Health Sciences Research Committee of Malawi (NHSRC) and the Biomedical Institutional Review Board of the University of North Carolina at Chapel Hill.

References

  1. 1.
    Brandt R. The mental health of people living with HIV/AIDS in Africa: a systematic review. Afr J AIDS Res. 2009;8(2):123–33.  https://doi.org/10.2989/AJAR.2009.8.2.1.853.CrossRefPubMedGoogle Scholar
  2. 2.
    Gaynes BN, Pence BW, Atashili J, O’Donnell JK, Njamnshi AK, Tabenyang ME, et al. Changes in HIV outcomes following depression care in a resource-limited setting: results from a pilot study in Bamenda, Cameroon. PLoS ONE. 2015;10(10):e0140001.  https://doi.org/10.1371/journal.pone.0140001.
  3. 3.
    Petersen I, Hanass Hancock J, Bhana A, Govender K. A group-based counselling intervention for depression comorbid with HIV/AIDS using a task shifting approach in South Africa: a randomized controlled pilot study. J Affect Disord. 2014;158:78–84.  https://doi.org/10.1016/j.jad.2014.02.013.CrossRefPubMedGoogle Scholar
  4. 4.
    Pustil R. Global AIDS. Aids. 2016;17(Suppl 4):S3–11. https://www.unaids.org/sites/default/files/media_asset/global-AIDS-update-2016_en.pdf.
  5. 5.
    Kharsany ABM, Karim QA. HIV infection and AIDS in sub-Saharan Africa: current status. Challenges and opportunities. Open AIDS J. 2016;10:34–48.  https://doi.org/10.2174/1874613601610010034.CrossRefPubMedPubMedCentralGoogle Scholar
  6. 6.
    U.S Department of Health and Human Services. Global Statistics | HIV.gov. 2017 [cited 2018 May 24]. https://www.hiv.gov/hiv-basics/overview/data-and-trends/global-statistics.
  7. 7.
    UNAIDS. The Gap Report. Geneva: UNAIDS; 2014.Google Scholar
  8. 8.
    UNAIDS. 90-90-90: an ambitious treatment target to help end the AIDS epidemic. Geneva: UNAIDS; 2014.Google Scholar
  9. 9.
    Parcesepe AM, Mugglin C, Nalugoda F, Bernard C, Yunihastuti E, Althoff K, et al. Screening and management of mental health and substance use disorders in HIV treatment settings in low- and middle-income countries within the global IeDEA consortium. J Int AIDS Soc. 2018;21(3):e25101.  https://doi.org/10.1002/jia2.25101.CrossRefPubMedPubMedCentralGoogle Scholar
  10. 10.
    WHO. Mental disorders. 2018 [cited 2019 Feb 16]; https://www.who.int/mental_health/management/en/.
  11. 11.
    Breuer E, Myer L, Struthers H, Joska JA. HIV/AIDS and mental health research in sub-Saharan Africa: a systematic review. Afr J AIDS Res. 2011;10(2):101–22.  https://doi.org/10.2989/16085906.2011.593373.CrossRefPubMedGoogle Scholar
  12. 12.
    Yun LW, Maravi M, Kobayashi JS, Barton PL, Davidson AJ. Antidepressant treatment improves adherence to antiretroviral therapy among depressed HIV-infected patients. JAIDS J Acquir Immune Defic Syndr. 2005;38(4):432–8.CrossRefGoogle Scholar
  13. 13.
    Chuang HT, Jason GW, Pajurkova EM, Gill MJ. Psychiatric morbidity in patients with HIV infection. Can J Psychiatry. 1992;37(2):109–15.CrossRefGoogle Scholar
  14. 14.
    Treisman GJ, Lyketsos CG, Fishman M, Hanson AL, Rosenblatt A, McHugh PR. Psychiatric care for patients with HIV infection. The varying perspectives. Psychosomatics. 1993;34(5):432–9.CrossRefGoogle Scholar
  15. 15.
    World Health Organization. Mental Health Gap Action Programme, World Health Organization. MhGAP: Mental Health Gap Action Programme: scaling up care for mental, neurological, and substance use disorders. Geneva: WHO; 2008. p. 36.Google Scholar
  16. 16.
    Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013;382(9904):1575–86.  https://doi.org/10.1016/S0140-6736(13)61611-6.CrossRefPubMedGoogle Scholar
  17. 17.
    Kidia K, Machando D, Bere T, Macpherson K, Nyamayaro P, Potter L, et al. “I was thinking too much”: experiences of HIV-positive adults with common mental disorders and poor adherence to antiretroviral therapy in Zimbabwe. Trop Med Int Health. 2015;20(7):903–13.CrossRefGoogle Scholar
  18. 18.
    Sherr L, Clucas C, Harding R, Sibley E, Catalan J. HIV and depression—a systematic review of interventions. Psychol Health Med. 2011;16(5):493–527.CrossRefGoogle Scholar
  19. 19.
    Bernard C, Dabis F, de Rekeneire N. Prevalence and factors associated with depression in people living with HIV in sub-Saharan Africa: a systematic review and meta-analysis. PLoS ONE. 2017;12(8):e0181960.CrossRefGoogle Scholar
  20. 20.
    Gonzalez JS, Batchelder AW, Psaros C, Safren SA, Graduate F. Depression and HIV/AIDS treatment nonadherence: a review and meta-analysis. J Acquir Immune Defic Syndr. 2011;58(2):181–7.  https://doi.org/10.1097/qai.0b013e31822d490a.CrossRefPubMedGoogle Scholar
  21. 21.
    Leserman J. Role of depression, stress, and trauma in HIV disease progression. Psychosom Med. 2008;70(5):539–45.  https://doi.org/10.1097/PSY.0b013e3181777a5f.CrossRefPubMedGoogle Scholar
  22. 22.
    Crockett KB, Kalichman SC, Kalichman MO, Cruess DG, Katner HP. Experiences of HIV-related discrimination and consequences for internalised stigma, depression and alcohol use. Psychol Health. 2019.  https://doi.org/10.1080/08870446.2019.1572143.CrossRefPubMedGoogle Scholar
  23. 23.
    Akena D, Musisi S, Joska J, Stein DJ. The association between Aids related stigma and major depressive disorder among HIV-positive individuals in Uganda. PLoS ONE. 2012;7(11):e48671.  https://doi.org/10.1371/journal.pone.0048671.CrossRefPubMedPubMedCentralGoogle Scholar
  24. 24.
    Chibanda D, Psychiatry M, Benjamin L, Weiss HA, Abas M. Mental, neurological, and substance use disorders in people living with HIV/AIDS in low- and middle-income countries. JAIDS. 2014;67(May):54–67.Google Scholar
  25. 25.
    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;16(8):2101–18.CrossRefGoogle Scholar
  26. 26.
    Rane MS, Hong T, Govere S, Thulare H, Moosa M-Y, Celum C, et al. Depression and anxiety as risk factors for delayed care-seeking behavior in human immunodeficiency virus–infected individuals in South Africa. Clin Infect Dis. 2018;67(9):1411–8.  https://doi.org/10.1093/cid/ciy309.CrossRefPubMedGoogle Scholar
  27. 27.
    Shrestha R, Philip S, Shewade HD, Rawal B, Deuba K. Why don’t key populations access HIV testing and counselling centres in Nepal? Findings based on national surveillance survey. BMJ Open. 2017;7(12):e017408.  https://doi.org/10.1136/bmjopen-2017-017408.CrossRefPubMedPubMedCentralGoogle Scholar
  28. 28.
    Andersson LMC, Schierenbeck I, Strumpher J, Krantz G, Topper K, Backman G, et al. Help-seeking behaviour, barriers to care and experiences of care among persons with depression in Eastern Cape, South Africa. J Affect Disord. 2013;151(2):439–48.  https://doi.org/10.1016/j.jad.2013.06.022.CrossRefPubMedGoogle Scholar
  29. 29.
    Umubyeyi A, Mogren I, Ntaganira J, Krantz G. Help-seeking behaviours, barriers to care and self-efficacy for seeking mental health care: a population-based study in Rwanda. Soc Psychiatry Psychiatr Epidemiol. 2016;51(1):81–92.  https://doi.org/10.1007/s00127-015-1130-2.CrossRefPubMedGoogle Scholar
  30. 30.
    Girma E, Tesfaye M. Patterns of treatment seeking behavior for mental illnesses in Southwest Ethiopia: a hospital based study. BMC Psychiatry. 2011;11(1):138.  https://doi.org/10.1186/1471-244X-11-138.CrossRefPubMedPubMedCentralGoogle Scholar
  31. 31.
    Turan B, Stringer KL, Onono M, Bukusi EA, Weiser SD, Cohen CR, et al. Linkage to HIV care, postpartum depression, and HIV-related stigma in newly diagnosed pregnant women living with HIV in Kenya: a longitudinal observational study. BMC Pregnancy Childbirth. 2014;14:400.  https://doi.org/10.1186/s12884-014-0400-4.CrossRefPubMedPubMedCentralGoogle Scholar
  32. 32.
    Ramirez-Avila L, Regan S, Giddy J, Chetty S, Ross D, Katz JN, et al. Depressive symptoms and their impact on health-seeking behaviors in newly-diagnosed HIV-infected patients in Durban, South Africa. AIDS Behav. 2012;16(8):2226–35.  https://doi.org/10.1007/s10461-012-0160-y.CrossRefPubMedPubMedCentralGoogle Scholar
  33. 33.
    Mayston R, Patel V, Abas M, Korgaonkar P, Paranjape R, Rodrigues S, et al. Psychological predictors for attendance of post-HIV test counselling and linkage to care: the Umeed cohort study in Goa, India. BMC Psychiatry. 2014;14(1):188.  https://doi.org/10.1186/1471-244X-14-188.CrossRefPubMedPubMedCentralGoogle Scholar
  34. 34.
    Losina E, Bassett IV, Giddy J, Chetty S, Regan S, Walensky RP, et al. The “ART” of linkage: pre-treatment loss to care after HIV diagnosis at two PEPFAR sites in Durban, South Africa. PLoS ONE. 2010;5(3):9538.  https://doi.org/10.1371/journal.pone.0009538.CrossRefGoogle Scholar
  35. 35.
    Walkup J, Wei W, Sambamoorthi U, Crystal S. Antidepressant treatment and adherence to combination antiretroviral therapy among patients with AIDS and diagnosed depression. Psychiatr Q. 2008;79(1):43–53.  https://doi.org/10.1007/s11126-007-9055-x.CrossRefPubMedPubMedCentralGoogle Scholar
  36. 36.
    Paterson DL, Swindells S, Mohr J, Brester M, Vergis EN, Squier C, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med. 2000;133(1):21–30.CrossRefGoogle Scholar
  37. 37.
    Christensen DB, Williams B, Goldberg HI, Martin DP, Engelberg R, LoGerfo JP. Assessing compliance to antihypertensive medications using computer-based pharmacy records. Med Care. 1997;35(11):1164–70.CrossRefGoogle Scholar
  38. 38.
    Sin NL, DiMatteo RM. Depression treatment enhances adherence to antiretroviral therapy: a meta-analysis. Ann Behav Med. 2014;47(3):259–69.CrossRefGoogle Scholar
  39. 39.
    Leserman J, Pence BW, Whetten K, Mugavero MJ, Thielman NM, Swartz MS, et al. Relation of lifetime trauma and depressive symptoms to mortality in HIV. Am J Psychiatry. 2007;164(11):1707–13.  https://doi.org/10.1176/appi.ajp.2007.06111775.CrossRefPubMedGoogle Scholar
  40. 40.
    Pence BW, Mills JC, Bengtson AM, Gaynes BN, Breger TL, Cook RL, et al. Association of increased chronicity of depression with HIV appointment attendance, treatment failure, and mortality among HIV-infected adults in the United States. JAMA Psychiatry. 2018;75(4):379–85.  https://doi.org/10.1001/jamapsychiatry.2017.4726.CrossRefPubMedPubMedCentralGoogle Scholar
  41. 41.
    Mills JC, Pence BW, Todd JV, Bengtson AM, Breger TL, Edmonds A, et al. Cumulative burden of depression and all-cause mortality in women living with HIV. Clin Infect Dis. 2018;67(10):1575–81.  https://doi.org/10.1093/cid/ciy264.CrossRefPubMedGoogle Scholar
  42. 42.
    Todd JV, Cole SR, Pence BW, Lesko CR, Bacchetti P, Cohen MH, et al. Effects of antiretroviral therapy and depressive symptoms on all-cause mortality among HIV-infected women. Am J Epidemiol. 2017;185(10):869–78.  https://doi.org/10.1093/aje/kww192.CrossRefPubMedPubMedCentralGoogle Scholar
  43. 43.
    Smillie K, Van Borek N, van der Kop ML, Lukhwaro A, Li N, Karanja S, et al. Mobile health for early retention in HIV care: a qualitative study in Kenya (WelTel Retain). Afr J AIDS Res. 2014;13(4):331–8.  https://doi.org/10.2989/16085906.2014.961939.CrossRefPubMedPubMedCentralGoogle Scholar
  44. 44.
    Stewart RC, Umar E, Tomenson B, Creed F. Validation of screening tools for antenatal depression in Malawi-A comparison of the Edinburgh postnatal depression scale and self reporting questionnaire. J Affect Disord. 2013;150(3):1041–7.  https://doi.org/10.1016/j.jad.2013.05.036.CrossRefPubMedGoogle Scholar
  45. 45.
    Chibanda D, Mangezi W, Stranix-Chibanda L. Validation of the Edinburgh Postnatal Depression Scale among women in a high HIV prevalence area in urban Zimbabwe. Arch Women’s Ment Health. 2010;13(3):201–6.  https://doi.org/10.1007/s00737-009-0073-6.CrossRefGoogle Scholar
  46. 46.
    Cholera R, Gaynes BN, Pence BW, Bassett J, Qangule N, Macphail C, et al. Validity of the Patient Health Questionnaire-9 to screen for depression in a high-HIV burden primary healthcare clinic in Johannesburg, South Africa. J Affect Disord. 2014;167:160–6.CrossRefGoogle Scholar
  47. 47.
    Pence BW, Gaynes BN, Atashili J, O’Donnell JK, Tayong G, Kats D, et al. Validity of an interviewer-administered patient health questionnaire-9 to screen for depression in HIV-infected patients in Cameroon. J Affect Disord. 2012;143(1–3):208–13.  https://doi.org/10.1016/j.jad.2014.06.003.CrossRefPubMedPubMedCentralGoogle Scholar
  48. 48.
    Kim MH, Mazenga AC, Devandra A, Ahmed S, Kazembe PN, Yu X, et al. Prevalence of depression and validation of the Beck Depression Inventory-II and the Children’s Depression Inventory-Short amongst HIV-positive adolescents in Malawi. J Int AIDS Soc. 2014;17(1):18965.  https://doi.org/10.7448/IAS.17.1.18965.CrossRefPubMedPubMedCentralGoogle Scholar
  49. 49.
    Himelhoch S, Medoff DR. Efficacy of antidepressant medication among HIV-positive individuals with depression: a systematic review and meta-analysis. AIDS Patient Care STDS. 2005;19(12):813–22.CrossRefGoogle Scholar
  50. 50.
    Chibanda D, Weiss HA, Verhey R, Simms V, Munjoma R, Rusakaniko S, et al. Effect of a primary care-based psychological intervention on symptoms of common mental disorders in Zimbabwe: a randomized clinical trial. JAMA. 2016;316(24):2618–26.  https://doi.org/10.1001/jama.2016.19102.CrossRefPubMedGoogle Scholar
  51. 51.
    Chibanda D, Mesu P, Kajawu L, Cowan F, Araya R, Abas MA. Problem-solving therapy for depression and common mental disorders in Zimbabwe: piloting a task-shifting primary mental health care intervention in a population with a high prevalence of people living with HIV. BMC Public Health. 2011;11:828.  https://doi.org/10.1186/1471-2458-11-828.CrossRefPubMedPubMedCentralGoogle Scholar
  52. 52.
    Kaaya SF, Blander J, Antelman G, Cyprian F, Emmons KM, Matsumoto K, et al. Randomized controlled trial evaluating the effect of an interactive group counseling intervention for HIV-positive women on prenatal depression and disclosure of HIV status. AIDS Care. 2013;25(7):854–62.  https://doi.org/10.1080/09540121.2013.763891.CrossRefPubMedGoogle Scholar
  53. 53.
    Nakimuli-Mpungu E, Wamala K, Okello J, Alderman S, Odokonyero R, Mojtabai R, et al. Group support psychotherapy for depression treatment in people with HIV/AIDS in northern Uganda: a single-centre randomised controlled trial. Lancet HIV. 2015;2(5):e190–9.  https://doi.org/10.1016/S2352-3018(15)00041-7.CrossRefPubMedGoogle Scholar
  54. 54.
    Abas M, Nyamayaro P, Bere T, Saruchera E, Mothobi N, Simms V, et al. Feasibility and acceptability of a task-shifted intervention to enhance adherence to HIV medication and improve depression in people living with HIV in Zimbabwe, a low income country in sub-Saharan Africa. AIDS Behav. 2018;22(1):86–101.  https://doi.org/10.1007/s10461-016-1659-4.CrossRefPubMedGoogle Scholar
  55. 55.
    Bere T, Nyamayaro P, Magidson JF, Chibanda D, Chingono A, Munjoma R, et al. Cultural adaptation of a cognitive-behavioural intervention to improve adherence to antiretroviral therapy among people living with HIV/AIDS in Zimbabwe: Nzira Itsva. J Health Psychol. 2017;22(10):1265–76.  https://doi.org/10.1177/1359105315626783.CrossRefPubMedGoogle Scholar
  56. 56.
    Andersen LS, Magidson JF, O’Cleirigh C, Remmert JE, Kagee A, Leaver M, et al. A pilot study of a nurse-delivered cognitive behavioral therapy intervention (Ziphamandla) for adherence and depression in HIV in South Africa. J Health Psychol. 2018;23(6):776–87.  https://doi.org/10.1177/1359105316643375.CrossRefPubMedGoogle Scholar
  57. 57.
    Adams JL, Almond MLG, Ringo EJ, Shangali WH, Sikkema KJ. Feasibility of nurse-led antidepressant medication management of depression in an HIV clinic in Tanzania. Int J Psychiatry Med. 2012;43(2):105–17.CrossRefGoogle Scholar
  58. 58.
    Wagner GJ, Ngo V, Goutam P, Glick P, Musisi S, Akena D. A structured protocol model of depression care versus clinical acumen: a cluster randomized trial of the effects on depression screening, diagnostic evaluation, and treatment uptake in Ugandan HIV clinics. PLoS ONE. 2016;11(5):e0153132.  https://doi.org/10.1371/journal.pone.0153132.CrossRefPubMedPubMedCentralGoogle Scholar
  59. 59.
    Kauye F, Jenkins R, Rahman A. Training primary health care workers in mental health and its impact on diagnoses of common mental disorders in primary care of a developing country, Malawi: a cluster-randomized controlled trial. Psychol Med. 2014;44(03):657–66.  https://doi.org/10.1017/S0033291713001141.CrossRefPubMedGoogle Scholar
  60. 60.
    Kauye F, Chiwandira C, Wright J, Common S, Phiri M, Mafuta C, et al. Increasing the capacity of health surveillance assistants in community mental health care in a developing country, Malawi. Malawi Med J. 2011;23(3):85–8.PubMedPubMedCentralGoogle Scholar
  61. 61.
    Wright J, Common S, Kauye F, Chiwandira C. Integrating community mental health within primary care in southern Malawi: a pilot educational intervention to enhance the role of health surveillance assistants. Int J Soc Psychiatry. 2014;60(2):155–61.  https://doi.org/10.1177/0020764012471924.CrossRefPubMedGoogle Scholar
  62. 62.
    Wissow LS, Tegegn T, Asheber K, McNabb M, Weldegebreal T, Jerene D, et al. Collaboratively reframing mental health for integration of HIV care in Ethiopia. Health Policy Plan. 2015;30(6):791–803.  https://doi.org/10.1093/heapol/czu058.CrossRefPubMedGoogle Scholar
  63. 63.
    UNAIDS. Malawi | UNAIDS. [cited 2018 Jun 5]. http://www.unaids.org/en/regionscountries/countries/malawi.
  64. 64.
    Gelaye B, Williams MA, Lemma S, Deyessa N, Bahretibeb Y, Shibre T, et al. Validity of the Patient Health Questionnaire-9 for depression screening and diagnosis in East Africa. Psychiatry Res. 2013;210(2):653–61.  https://doi.org/10.1016/j.psychres.2013.07.015.CrossRefPubMedGoogle Scholar
  65. 65.
    Udedi M, Muula AS, Stewart RC, Pence BW. The validity of the patient health Questionnaire-9 to screen for depression in patients with type-2 diabetes mellitus in non-communicable diseases clinics in Malawi. BMC Psychiatry. 2019;19(1):81.  https://doi.org/10.1186/s12888-019-2062-2.CrossRefPubMedPubMedCentralGoogle Scholar
  66. 66.
    Udedi M, Stockton MA, Kulisewa K, Hosseinipour MC, Gaynes BN, Mphonda SM, et al. Integrating depression management into HIV primary care in central Malawi: the implementation of a pilot capacity building program. BMC Health Serv Res. 2018.  https://doi.org/10.1186/s12913-018-3388-z.CrossRefPubMedPubMedCentralGoogle Scholar
  67. 67.
    Government of Malawi Ministry of Health. Malawi Health Sector Strategic Plan II 2017–2022: towards Universal Health Coverage. Malawi: Lilongwe; 2017.Google Scholar

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© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of Mental Health, College of MedicineUniversity of MalawiBlantyreMalawi
  2. 2.Epidemiology DepartmentUniversity of North Carolina at Chapel Hill Gillings School of Global Public HealthChapel HillUSA
  3. 3.Tidziwe CentreUniversity of North Carolina Project-MalawiLilongweMalawi
  4. 4.Department of PsychiatryUniversity of North Carolina at Chapel Hill School of MedicineChapel HillUSA
  5. 5.NCDs & Mental Health Unit, Ministry of Health, Malawi, Ministry of HealthLilongwe 3Malawi
  6. 6.Department of MedicineUniversity of North Carolina at Chapel Hill School of MedicineChapel HillUSA

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