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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ResProt</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Res Protoc</journal-id>
      <journal-title>JMIR Research Protocols</journal-title>
      <issn pub-type="epub">1929-0748</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
    <article-id pub-id-type="publisher-id">v8i1e11560</article-id>
    <article-id pub-id-type="pmid">30609989</article-id>
    <article-id pub-id-type="doi">10.2196/11560</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Original Paper</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Original Paper</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>Recruitment and Baseline Characteristics of Participants in the Social, Emotional, and Economic Empowerment Through Knowledge of Group Support Psychotherapy Study (SEEK-GSP): Cluster Randomized Controlled Trial</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Kuter</surname>
          <given-names>Nicola</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Wong</surname>
          <given-names>Kah Peng</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Noll-Hussong</surname>
          <given-names>Michael</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1" corresp="yes" equal-contrib="yes">
      <name name-style="western">
        <surname>Nakimuli-Mpungu</surname>
        <given-names>Etheldreda</given-names>
      </name>
      <degrees>MMED(Psych), PhD</degrees>
      <xref rid="aff01" ref-type="aff">1</xref>
      <address>
        <institution>Department of Psychiatry</institution>
        <institution>College of Health Sciences</institution>
        <institution>Makerere University</institution>
        <addr-line>Old Mulago Hospital Complex</addr-line>
        <addr-line>Mulago Hill Road</addr-line>
        <addr-line>Kampala, 256</addr-line>
        <country>Uganda</country>
        <phone>256 788994050</phone>
        <email>ethelmpungu@yahoo.com</email>
      </address>  
      <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-6857-8931</ext-link></contrib>
      <contrib contrib-type="author" id="contrib2">
        <name name-style="western">
          <surname>Musisi</surname>
          <given-names>Seggane</given-names>
        </name>
        <degrees>FRCPC</degrees>
        <xref rid="aff01" ref-type="aff">1</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-3454-0000</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib3">
        <name name-style="western">
          <surname>Wamala</surname>
          <given-names>Kizito</given-names>
        </name>
        <degrees>MSc</degrees>
        <xref rid="aff02" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-4800-7052</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib4">
        <name name-style="western">
          <surname>Okello</surname>
          <given-names>James</given-names>
        </name>
        <degrees>MMED(Psych), PhD</degrees>
        <xref rid="aff03" ref-type="aff">3</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-2634-3063</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib5" deceased="yes">
        <name name-style="western">
          <surname>Ndyanabangi</surname>
          <given-names>Sheila</given-names>
        </name>
        <degrees>MBChB, MPH</degrees>
        <xref rid="aff04" ref-type="aff">4</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-9859-1686</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib6">
        <name name-style="western">
          <surname>Birungi</surname>
          <given-names>Josephine</given-names>
        </name>
        <degrees>MBChB</degrees>
        <xref rid="aff05" ref-type="aff">5</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-6557-5089</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib7">
        <name name-style="western">
          <surname>Nanfuka</surname>
          <given-names>Mastula</given-names>
        </name>
        <degrees>MBChB</degrees>
        <xref rid="aff05" ref-type="aff">5</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-7888-530X</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib8">
        <name name-style="western">
          <surname>Etukoit</surname>
          <given-names>Michael</given-names>
        </name>
        <degrees>MBChB</degrees>
        <xref rid="aff05" ref-type="aff">5</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-7519-3180</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib9">
        <name name-style="western">
          <surname>Mojtabai</surname>
          <given-names>Ramin</given-names>
        </name>
        <degrees>MD, PhD</degrees>
        <xref rid="aff06" ref-type="aff">6</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-2134-4043</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib10">
        <name name-style="western">
          <surname>Nachega</surname>
          <given-names>Jean</given-names>
        </name>
        <degrees>MD, PhD</degrees>
        <xref rid="aff07" ref-type="aff">7</xref>
        <xref rid="aff08" ref-type="aff">8</xref>
        <xref rid="aff09" ref-type="aff">9</xref>
        <xref rid="aff10" ref-type="aff">10</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-2862-4443</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib11">
        <name name-style="western">
          <surname>Harari</surname>
          <given-names>Ofir</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff11" ref-type="aff">11</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-2901-0558</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib12">
        <name name-style="western">
          <surname>Mills</surname>
          <given-names>Edward</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff12" ref-type="aff">12</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-3120-9694</ext-link>
      </contrib>
    </contrib-group>
    <aff id="aff01">
    <label>1</label>
    <institution>Department of Psychiatry</institution>
    <institution>College of Health Sciences</institution>  
    <institution>Makerere University</institution>  
    <addr-line>Kampala</addr-line>
    <country>Uganda</country></aff>
    <aff id="aff02">
    <label>2</label>
    <institution>Center for Victims of Torture</institution>
    <institution>Department of Psychology</institution>  
    <addr-line>Gulu</addr-line>
    <country>Uganda</country></aff>
    <aff id="aff03">
    <label>3</label>
    <institution>Department of Mental Health</institution>
    <institution>Faculty of Medicine</institution>  
    <institution>Gulu University</institution>  
    <addr-line>Gulu</addr-line>
    <country>Uganda</country></aff>
    <aff id="aff04">
    <label>4</label>
    <institution>Mental Health Program</institution>
    <institution>Ministry of Health of Uganda</institution>  
    <addr-line>Kampala</addr-line>
    <country>Uganda</country></aff>
    <aff id="aff05">
      <label>5</label>
      <institution>The AIDS Support Organization (TASO)</institution>
      <addr-line>Kampala</addr-line>
      <country>Uganda</country>
    </aff>
    <aff id="aff06">
    <label>6</label>
    <institution>Department of Mental Health</institution>
    <institution>Bloomberg's School of Public Health</institution>  
    <institution>Johns Hopkins University</institution>  
    <addr-line>Baltimore, MD</addr-line>
    <country>United States</country></aff>
    <aff id="aff07">
    <label>7</label>
    <institution>Department of Epidemiology</institution>
    <institution>Pittsburg Graduate School of Public Health</institution>  
    <institution>University of Pittsburg</institution>  
    <addr-line>Pittsburgh, PA</addr-line>
    <country>United States</country></aff>
    <aff id="aff08">
    <label>8</label>
    <institution>Stellenbosch Center for Infectious Disease</institution>
    <institution>Department of Medicine</institution>  
    <institution>Stellenbosch University</institution>  
    <addr-line>Cape Town</addr-line>
    <country>South Africa</country></aff>
    <aff id="aff09">
    <label>9</label>
    <institution>Department of Epidemiology</institution>
    <institution>Bloomberg's School of Public Health</institution>  
    <institution>Johns Hopkins University</institution>  
    <addr-line>Baltimore, MD</addr-line>
    <country>United States</country></aff>
    <aff id="aff10">
    <label>10</label>
    <institution>Department of International Health</institution>
    <institution>Bloomberg's School of Public Health</institution>  
    <institution>Johns Hopkins University</institution>  
    <addr-line>Baltimore, MD</addr-line>
    <country>United States</country></aff>
    <aff id="aff11">
      <label>11</label>
      <institution>MTEK Sciences Inc</institution>
      <addr-line>Vancouver, BC</addr-line>
      <country>Canada</country>
    </aff>
    <aff id="aff12">
    <label>12</label>
    <institution>Department of Clinical Epidemiology &amp; Biostatistics</institution>
    <institution>McMaster University</institution>  
    <addr-line>Hamilton, ON</addr-line>
    <country>Canada</country></aff>
    <author-notes>
      <corresp>Corresponding Author: Etheldreda Nakimuli-Mpungu 
      <email>ethelmpungu@yahoo.com</email></corresp>
    </author-notes>
    <pub-date pub-type="collection"><month>01</month><year>2019</year></pub-date>
    <pub-date pub-type="epub">
      <day>03</day>
      <month>01</month>
      <year>2019</year>
    </pub-date>
    <volume>8</volume>
    <issue>1</issue>
    <elocation-id>e11560</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>13</day>
        <month>7</month>
        <year>2018</year>
      </date>
      <date date-type="rev-request">
        <day>31</day>
        <month>8</month>
        <year>2018</year>
      </date>
      <date date-type="rev-recd">
        <day>25</day>
        <month>10</month>
        <year>2018</year>
      </date>
      <date date-type="accepted">
        <day>1</day>
        <month>11</month>
        <year>2018</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Etheldreda Nakimuli-Mpungu, Seggane Musisi, Kizito Wamala, James Okello, Sheila Ndyanabangi, Josephine Birungi, Mastula Nanfuka, Michael Etukoit, Ramin Mojtabai, Jean Nachega, Ofir Harari, Edward Mills. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 03.01.2019.</copyright-statement>
    <copyright-year>2019</copyright-year>
    <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
      <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.</p>
    </license>  
    <self-uri xlink:href="http://www.researchprotocols.org/2019/1/e11560/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="background">
        <title>Background</title>
        <p>Psychosocial characteristics, including self-esteem, perceived social support, coping skills, stigma, discrimination, and poverty, are strongly correlated with depression symptoms. However, data on the extent of these correlations among persons living with HIV and the associations between psychosocial characteristics and HIV treatment outcomes are limited in sub-Saharan Africa.</p>
      </sec>
      <sec sec-type="objective">
        <title>Objective</title>
        <p>This paper aims to describe the recruitment process and baseline characteristics associated with depression in a sample of HIV-positive people in a cluster randomized trial of group support psychotherapy (GSP) for depression delivered by trained lay health workers (LHWs).</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>Thirty eligible primary care health centers across three districts in Uganda were randomly allocated to have their LHWs trained to deliver GSP (intervention arm) or group HIV education and treatment as usual (control arm) to persons living with HIV comorbid with depression. Baseline demographic, socioeconomic, and psychosocial characteristics were collected via interviewer-administered questionnaires. Among eligible participants, differences between those enrolled versus those who refused enrollment were assessed using chi square for categorical variables and t tests for continuous variables. Spearman rank order correlation analyses were conducted to determine associations between baseline depression symptoms and adherence to antiretroviral therapy (ART), viral load suppression, and other psychosocial variables.</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>The study screened 1473 people and 1140 were found to be eligible and enrolled over 14 weeks. Participants recruited comprised 95% of the target sample size of 1200. The sample’s mean age was 38.5 (SD 10.9) years and both genders were well represented (males: 46.32%, 528/1140). Most participants met the diagnostic criteria for major depressive disorder (96.92%, 1105/1140), had significant posttraumatic stress symptoms (72.46%, 826/1140), reported moderate suicide risk (52.54%, 599/1140), had primary or no formal education (86.22%, 983/1140), and reported no income-generating activity (72.63%, 828/1140) and no food insecurity (81.67%, 931/1140). Among eligible participants, 48 of 1140 (4.21%) refused to participate in the interventions; these participants were more likely to be males (χ<sup>2</sup><sub>1</sub>=4.0, <italic>P</italic>=.045) and have significantly lower depression symptoms scores (t<sub>2</sub>=2.36, <italic>P</italic>=.01) than those who participated in the interventions. There was a significant positive correlation between viral load and number of traumatic experiences (ρ=.12, <italic>P</italic>=.05). Adherence to ART was positively correlated with perceived social support (ρ=.15, <italic>P</italic>&lt;.001), but negatively correlated with depression symptoms (ρ=–.11, <italic>P</italic>=.05) and stigma (ρ=–.14, <italic>P</italic>&lt;.001).</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>Men and women with HIV and depression experience multiple social and economic vulnerabilities and disadvantages. Culturally tailored psychological interventions aimed at these individuals should address these socioeconomic disadvantages in addition to addressing their mental health care needs.</p>
      </sec>
      <sec sec-type="Trial Registration">
        <title>Trial Registration</title>
        <p>Pan African Clinical Trials Registry PACTR201608001738234; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=1738 (Archived by WebCite at http://www.webcitation.org/74NtMphom)</p>
      </sec>
    </abstract>
    <kwd-group>
      <kwd>cluster randomized trial</kwd>
      <kwd>group support psychotherapy</kwd>
      <kwd>lay health workers</kwd>
      <kwd>depression</kwd>
      <kwd>recruitment</kwd>
      <kwd>psychosocial stressors</kwd>
      <kwd>persons living with HIV/AIDS</kwd>
      <kwd>Uganda</kwd>
    </kwd-group></article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Individuals with major depression account for a substantial proportion of antiretroviral therapy (ART) users attending HIV treatment centers in sub-Saharan Africa. Yet they hardly receive any mental health services [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. Several studies in HIV-positive populations both in developed and developing countries have shown that psychosocial stressors, such as a lack of social support and poor coping skills [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>], low self-esteem [<xref ref-type="bibr" rid="ref5">5</xref>], lack of financial resources [<xref ref-type="bibr" rid="ref6">6</xref>], and internalized stigma and discrimination [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>] are associated with depression. Furthermore, several studies conducted in HIV-positive populations have shown that alcohol use problems and posttraumatic stress are frequent and often complicate depression [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>]. However, data on the extent of these correlations among persons living with HIV in sub-Saharan Africa are limited.</p>
      <p>Past research studies in developed countries have shown that depression and related psychosocial stressors influence progression of HIV disease [<xref ref-type="bibr" rid="ref11">11</xref>]. For example, there is some evidence that persons living with HIV (PLWH) who report experiencing stigma and discrimination have worse health outcomes [<xref ref-type="bibr" rid="ref12">12</xref>]. Past research has also shown that lack of social support and poor coping skills [<xref ref-type="bibr" rid="ref13">13</xref>], poor financial resources [<xref ref-type="bibr" rid="ref14">14</xref>], and food insecurity [<xref ref-type="bibr" rid="ref15">15</xref>] among ART users have been associated with poor HIV treatment outcomes. However, most past research on these associations come from high-income countries and from studies with small sample sizes. The correlations between psychosocial characteristics and HIV treatment outcomes in other parts of the world, and especially in sub-Saharan Africa where HIV is highly prevalent, are unknown.</p>
      <p>Further, although studies of psychological interventions with depressed PLWH in high-income countries have endeavored to document related psychosocial stressors or HIV treatment outcomes [<xref ref-type="bibr" rid="ref16">16</xref>], those conducted in low- and middle-income countries have rarely done so [<xref ref-type="bibr" rid="ref17">17</xref>]. As a result, there is little information on the psychosocial stressors associated with HIV treatment from low- and middle-income countries. This makes it difficult to understand and appreciate the social context of PLWH in these settings. Past research from the United States has highlighted the role of various environmental stressors related to poverty, persistent residential mobility, racial discrimination, and inadequate access to resources on HIV care and outcomes. These findings indicate the importance of attending to social context in addition to clinical factors in planning interventions for PLWH [<xref ref-type="bibr" rid="ref18">18</xref>].</p>
      <p>To attend to the contextual realities of PLWH in sub-Saharan Africa, we developed group support psychotherapy (GSP)—a culturally sensitive cognitive behavioral-based intervention that treats depression by enhancing emotional and social support, positive coping, and livelihood skills [<xref ref-type="bibr" rid="ref19">19</xref>]. The Social, Emotional, and Economic empowerment through Knowledge of GSP (SEEK-GSP) trial follows a series of pilot studies [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref21">21</xref>] that demonstrated the effectiveness of GSP in treating mild to moderate depression. This trial will provide robust evidence for the change processes and outcomes we observed in these pilot studies.</p>
      <p>The PLWH participating in the SEEK-GSP trial were recruited from a postconflict region where there is a heavy burden of depression, posttraumatic stress symptoms, and psychosocial stressors [<xref ref-type="bibr" rid="ref22">22</xref>]. This sample provides an opportunity to understand the processes and challenges in recruiting this highly vulnerable population, who are rarely recruited into clinical trials. The purpose of this paper is to summarize the recruitment procedures and baseline results of this trial, and explore associations among depression symptoms, related psychosocial stressors, adherence to ART, and viral suppression.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview of Study Design and Interventions</title>
        <p>A detailed description of the study protocol is published elsewhere [<xref ref-type="bibr" rid="ref23">23</xref>] and is registered in the Pan African Clinical Trials Registry (PACTR201608001738234). Briefly, this is a pragmatic two-arm cluster randomized trial evaluating the effectiveness GSP delivered by trained lay health workers (LHWs) to PLWH presenting with mild to moderate depression in primary care. The study involves 30 primary health centers in three districts in northern Uganda that were randomly assigned (with a 1:1 ratio) to have their LHWs trained in the delivery of GSP (intervention) or group HIV education (control condition) to PLWH with mild to moderate depression. The PLWH treated by the trained LHWs were evaluated at baseline, at the end of intervention, and at intervals of 6 months thereafter for 2 years.</p>
        <p>The development of the GSP and group HIV education interventions has been described in detail in previous publications [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref21">21</xref>]. A detailed description of the content of both interventions has also been previously published [<xref ref-type="bibr" rid="ref24">24</xref>]. The study was submitted to and approved by the Makerere University College of Health Sciences Research Ethics Committee, The AIDS Support Organization Research Ethics Committee, and the Uganda National Council of Science and Technology. All study participants were required to provide written informed consent. Light refreshments were served during all group sessions in both arms, and each participant and group facilitator received a financial incentive amounting to 8000UGX (US $2.16) and 80,000UGX (US $21.62), respectively, at the end of treatment to defray transportation costs. <xref ref-type="fig" rid="figure1">Figure 1</xref> summarizes the trial profile.</p>
      </sec>
      <sec>
        <title>Training of Health Workers</title>
        <sec>
          <title>Group Support Psychotherapy Training</title>
          <p>Over a 4-month period (January to April 2016), Makerere University, in collaboration with the Ministry of Health, designed a GSP training program that consisted of both formal and informal training. This training was delivered using a training-of-trainers model in May and August 2016. Mental health specialists trained primary health center workers who, in turn, trained the LHWs. Formal training consisted of eight training modules delivered in a 5-day training workshop that employed active learning techniques including role plays, brainstorming sessions, and small group discussions. In brief, the first three modules included an overview of the training program, introduction to the GSP model, and an introduction to depression and HIV/AIDS were delivered on the first day. On the second and third days, modules on basic counseling skills and effective coping strategies were delivered, respectively. On the fourth day, participants received training in basic livelihood skills (enterprise selection, basic financial skills, and resource mobilization) required to overcome poverty. The last day of training focused on self-care strategies, posttraining assessments, and training workshop evaluation. Informal training consisted of conducting supervised pilot GSP sessions. Newly trained health workers were supervised by a pool of previously trained health workers who participated in the pilot randomized controlled trial [<xref ref-type="bibr" rid="ref21">21</xref>]. The competencies targeted by the training have been published elsewhere [<xref ref-type="bibr" rid="ref24">24</xref>]. <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref> shows the health worker supervision checklist used by supervisors.</p>
        </sec>
        <sec>
          <title>Group HIV Education Training</title>
          <p>In May 2016, Makerere University, in collaboration with The AIDS Support Organization, designed a group HIV education training program that consisted of both formal and informal training. Between May and August 2016, the training-of-trainers model was used to deliver the training, whereby The AIDS Support Organization HIV care providers trained primary health center workers who in turn trained the LHWs. Formal training consisted of five training modules delivered in a lecture format in a 2-day training workshop. In brief, on the first day, three modules including an overview of the training program, introduction to depression and HIV/AIDS, HIV progression, and transmission were delivered. On the second day, modules on mother-to-child transmission and basic facts on ART were delivered. Informal training consisted of conducting supervised pilot group HIV education sessions.</p>
          <p>After both trainings, the trained LHWs initiated health education talks on depression in villages where they work and also among PLWH returning for medication refill. The PLWH who identified they had depression symptoms were invited for further evaluation. Those who met diagnostic criteria for mild to moderate depression were invited to attend group sessions of either GSP or group HIV education.</p>
        </sec>
      </sec>
      <sec>
        <title>Study Screening and Recruitment</title>
        <p>We used study teams that reflected the ethnicity of the target community at each of the participating primary health centers. The study teams worked with the trained LHWs, who are the first level of health care delivery in the country, to spread information about the study by word of mouth in villages within the study region. The LHWs are members of the village health team [<xref ref-type="bibr" rid="ref25">25</xref>]. They know individuals in the community who are receiving HIV care and could approach them directly with information about the study.</p>
        <p>The study team conducted presentations in the community to explain study purpose and procedures to facilitate community understanding of the trial activities. At each participating primary health center, trained LHWs gave health talks on depression to clients in the waiting area. Those who had experienced symptoms of depression described in the health talk were invited for further evaluations using the Luo version of the 20-item Self-Reporting Questionnaire (SRQ-20) and the Mini International Neuropsychiatric Interview (MINI) depression module [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Recruitment process. GHE: group HIV education; GSP: group support psychotherapy.</p>
          </caption>
          <graphic xlink:href="resprot_v8i1e11560_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>This procedure was repeated until a total of 40 PLWH meeting the MINI criteria of major depression were obtained from each primary health center. Research assistants approached each eligible client and explained study procedures, determined that other eligibility criteria were met and then obtained informed consent. To be recruited in the study, participants had to be HIV positive, aged 19 years or older, meet MINI criteria for major depressive disorder, antidepressant naïve, using ART, and residing in the villages where the trained LHWs lived. Individuals at high suicide risk [<xref ref-type="bibr" rid="ref27">27</xref>], with a severe medical condition such as pneumonia or active tuberculosis, those with psychotic symptoms, or hearing or visual impairment were excluded from the study. Recruited participants from the same village were assigned to a trained LHW residing in or near their village to receive the intervention they had been trained to deliver (ie, either GSP or group HIV education).</p>
      </sec>
      <sec>
        <title>Study Measures</title>
        <p>A structured questionnaire administered in the local language was used to collect data on a number of baseline variables in one-on-one, face-to-face interviews.</p>
        <sec>
          <title>Baseline Sociodemographic Variables</title>
          <p>Sociodemographic variables were assessed using a demographic questionnaire that asked about descriptive information including age, gender, number of children, education, and relationship and employment status. Employment status was categorized into ‘‘unemployed,” “employed,” and “peasant farmer.” Relationship status was categorized into ‘‘never married,” “married/living with a partner,” “divorced/ separated,” or “widowed.” Education status was categorized into “primary/no formal education” and “secondary and above.”</p>
        </sec>
        <sec>
          <title>Baseline Psychiatric and Psychosocial Variables</title>
          <sec>
            <title>Major Depressive Disorder</title>
            <p>Major depressive disorder was diagnosed with the MINI depression module. The MINI is a diagnostic structured interview that was developed for the <italic>Diagnostic and Statistical Manual of Mental Disorders</italic> (4th Edition) of psychiatric disorders [<xref ref-type="bibr" rid="ref26">26</xref>]. The psychometric properties of the MINI have not been described in Uganda; however, its depression diagnostic section has been translated and locally adapted in Luganda and previously used in this setting [<xref ref-type="bibr" rid="ref28">28</xref>]. The depression diagnostic section consists of two screening questions, seven additional questions related to depression symptoms, and one question related to functional impairment. The two screening questions ask about the presence of depressed mood and loss of interest in daily activities over a period of 4 weeks in the recent past. If either one or both questions were positively endorsed by a study participant, the clinician asked additional questions to explore current (ie, 4 weeks before the interview) major depressive disorder. A diagnosis of current major depressive disorder was made if a study participant positively endorsed ﬁve or more questions related to depression symptoms and the one question related to functional impairment over a 4-week period.</p>
          </sec>
          <sec>
            <title>Depression Symptoms</title>
            <p>Depression symptoms were assessed using the SRQ-20 [<xref ref-type="bibr" rid="ref29">29</xref>]. Cross-cultural adaptation and validation of the SRQ-20 in PLWH in southern Uganda showed that an optimum cut-off point of six or higher had a sensitivity of 84% and a specificity of 93% for current depression [<xref ref-type="bibr" rid="ref30">30</xref>]. In this study sample, SRQ scores were modeled as a continuous variable with a Cronbach alpha reliability coefficient of .77.</p>
          </sec>
          <sec>
            <title>Functioning Level</title>
            <p>We assessed functioning levels using a five-item locally developed function assessment method [<xref ref-type="bibr" rid="ref24">24</xref>]. Items were derived from qualitative interviews with individuals and their caregivers who were attending psychotrauma centers in Kitgum and Gulu [<xref ref-type="bibr" rid="ref31">31</xref>].</p>
            <p>In this population, the measure attained a Cronbach alpha of .86. The scale consisted of five categories of tasks including household (eg, washing clothes, sweeping the yard), work in the field (eg, digging, grazing animals), social interactions (eg, attending social events), and job-related or school-related tasks (eg, participating in income-generating activities, attending school or skills-training courses) and tasks related to personal hygiene (eg, bathing). Study participants were asked to indicate their ability to do a given task on a three-point scale where 0 referred to those who responded ‘‘no, I am not able,” 1 to ‘‘yes, but not like before,” and 2 to ‘‘yes, I am able to.”</p>
          </sec>
          <sec>
            <title>Disability Days</title>
            <p>We assessed disability days by asking a single question “How many working days have you lost due to depression-related symptoms in the previous 30 days?” Disability days reported were modeled as a continuous variable.</p>
          </sec>
          <sec>
            <title>Posttraumatic Stress Symptoms</title>
            <p>Posttraumatic stress symptoms were assessed using the locally adapted Harvard Trauma Questionnaire. It has been successfully translated into several languages, with acceptable measures of reliability and validity [<xref ref-type="bibr" rid="ref32">32</xref>]. In this study population, the measure attained a Cronbach alpha reliability coefficient of .93.</p>
          </sec>
          <sec>
            <title>Traumatic Experiences</title>
            <p>War-related traumatic experiences were assessed using a locally developed 16-item trauma event checklist. Participants were asked whether they had experienced a given traumatic event or not. The trauma event checklist included items such as ‘‘Has the patient been forced to torture others?” “Has the patient witnessed torture/killing of another person?” “Has the patient been forced to kill?’’ A variable indicating the number of traumatic experiences by an individual was created and modeled as a continuous variable.</p>
          </sec>
          <sec>
            <title>Perceived Social Support:</title>
            <p>Perceived social support was assessed with the 12-item multidimensional social support scale [<xref ref-type="bibr" rid="ref33">33</xref>]. The scale has been validated in Uganda and its three-subscale structure (family, friends, and significant other) was confirmed [<xref ref-type="bibr" rid="ref34">34</xref>]. The Cronbach alpha for this sample was .96. Responses were based on a seven-point Likert scale with higher scores indicating greater support from friends, family, and significant others. We obtained total scores from the scale and modeled the scores as a continuous variable.</p>
          </sec>
          <sec>
            <title>Self-Esteem</title>
            <p>Self-esteem was measured using the 10-item Rosenberg Self-Esteem Scale, which provides assessment of one’s general feelings about oneself [<xref ref-type="bibr" rid="ref35">35</xref>]. Responses were based on a four-point scale. This scale has been used in HIV-positive women in South Africa [<xref ref-type="bibr" rid="ref36">36</xref>]. The scores range from 10 to 40 with higher scores indicating higher self-esteem. We obtained total scores from the scale and modeled the scores as a continuous variable. In this study sample, the measure attained a Cronbach alpha of .93.</p>
          </sec>
          <sec>
            <title>Alcohol Use</title>
            <p>We assessed alcohol use with the Alcohol Use Disorders Identification Test (AUDIT) [<xref ref-type="bibr" rid="ref37">37</xref>]. This 10-item scale has been validated in PLWH populations in sub-Saharan Africa [<xref ref-type="bibr" rid="ref10">10</xref>]. Each of the 10 questions is rated on a four-point scale. The total score ranges from 0 to 40. A total of eight or higher is recommended as an indicator of hazardous drinking behavior and a score of 20 or higher is indicative of alcohol dependence. We report this variable both as categorical using the cut-off point of eight or higher and continuous using total AUDIT scores. In this study population, the measure attained a Cronbach alpha of .95.</p>
          </sec>
          <sec>
            <title>Coping Skills</title>
            <p>We used the modified coping inventory to assess a broad range of both positive and negative coping responses which establish how the study participants responded when they were confronted with difficult or stressful events in their lives [<xref ref-type="bibr" rid="ref38">38</xref>]. Each coping strategy is assessed by a set of two questions. Responses were based on a four-point scale. For each coping strategy, the scores range from two to eight, with higher scores indicating frequent use of the coping strategy. Each coping strategy was modeled as a continuous variable.</p>
          </sec>
          <sec>
            <title>Stigma and Discrimination</title>
            <p>To measure internalized stigma, we used the brief AIDS-related stigma scale [<xref ref-type="bibr" rid="ref39">39</xref>]. Responses were based on a four-point Likert scale. The scores ranged from 8 to 32 with high scores indicating higher levels of internalized stigma.</p>
            <p>To measure discrimination (enacted stigma), we used a total of 13 items adapted from an HIV/AIDS indicator survey previously used by Nyblade and MacQuarrie [<xref ref-type="bibr" rid="ref40">40</xref>] which described various forms of discriminatory events experienced by PLWH as a result of their HIV status. Both stigma and discrimination were modeled as continuous variables.</p>
          </sec>
          <sec>
            <title>Viral Load</title>
            <p>Once a year, HIV treatment centers routinely assess the viral load of clients. Measures of viral load were obtained from the medical charts of study participants. Although the name of the assay used to measure viral load in the laboratory was not recorded, all viral load measures were conducted by the same laboratory. If the record in the chart noted undetectable viral copies, that individual was assumed to have achieved viral suppression. If there was a record of detected viral copies in the chart, these were transcribed to the study questionnaire. Viral load was treated both as a continuous variable and as a categorical variable indicating suppression (coded 1) or nonsuppression of viral load (coded 0).</p>
          </sec>
          <sec>
            <title>Adherence to Antiretroviral Therapy</title>
            <p>Adherence to ART was assessed by using the missed-dose method, which is simple to implement and straightforward. Participants were asked to report the number of missed doses within a specified time period. We asked a single question: “During the past week, on how many days have you missed taking all your medication doses?” Adherence was calculated as the percent of days in the week the person missed all medications. Adherence “scores” were treated both as a continuous variable in correlation analyses and also converted to a dichotomous variable (eg, adherent/nonadherent) to simplify their interpretation for the descriptive analyses. In previous studies, researchers have used either 80% or 90% or 100% as the cut-off point for adherence [<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. In this study, we used 100% as the cut-off point.</p>
          </sec>
          <sec>
            <title>Socioeconomic Status Index</title>
            <p>To evaluate the baseline socioeconomic status (SES) of study participants, we created an SES index using principal component analysis of the following variables: presence or absence of an income-generating activity, food security, savings, and household assets (land, animals, poultry, radio, television, mobile phone, bicycle, or motorcycle). The index was categorized into quintiles with the first quintile representing low SES, the second to fourth quintiles representing the medium SES, and the fifth quintile representing the high SES group.</p>
          </sec>
        </sec>
      </sec>
      <sec>
        <title>Statistical Analyses</title>
        <p>Statistical analyses were performed using STATA statistical software version 15. Descriptive statistics were used to describe the demographic, clinical, and psychosocial characteristics of the study population. Among eligible participants, differences between those enrolled versus those who refused enrollment were assessed using chi square tests for categorical variables and <italic>t</italic> tests for continuous variables. Due to violations of normality, nonlinear relationships and the presence of ordinal variables, we opted to use the nonparametric Spearman rank order correlation (ρ coefficient) to examine associations between depression symptoms and other baseline variables. A Bonferroni adjustment was applied to calculated significance levels. Statistical significance was considered at two-tailed <italic>P</italic> ≤.05.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Screening and Recruitment</title>
        <p>The study recruitment period was from September to December 2016. After a series of health talks on depression in 30 participating primary health centers, a total of 1473 individuals expressed interest in being screened for depression. Of these, 1140 were eligible and enrolled in the study. On commencement of the interventions, 48 (4.21%) did not attend any group session. Of these, 21 had failed to complete baseline assessments, while 27 had completed baseline assessments. Although these participants appeared to have withdrawn from the study after enrollment, they did not announce their exit. Therefore, we still consider them as part of the study. <xref ref-type="fig" rid="figure1">Figure 1</xref> summarizes the recruitment process.</p>
        <p>The study was able to recruit 95% the target sample size of 1200 described in the study protocol. The target of 40 participants in each health center was met by only 14 primary health centers. Only 23 participants were enrolled outside the target enrollment period. <xref ref-type="app" rid="app2">Multimedia Appendices 2</xref> and <xref ref-type="app" rid="app3">3</xref> show the geographical distribution of the primary health centers and the actual enrollment versus target enrollment, respectively.</p>
        <p>Other protocol deviations reported included the enrollment of 141 of 1140 (12.37%) individuals who did not meet the MINI criteria for major depression. However, of those enrolled, 127 of 1140 (11.14%) were judged to be clinically depressed by the health workers and had attained a score of more than six on the SRQ-20, which indicates a high probability of major depression [<xref ref-type="bibr" rid="ref30">30</xref>]. In addition, 13 of 1140 (1.14%) did not meet the criteria for depression and 22 of 1140 (2.02%) did not have a record of their depression status. Individuals with high suicide risk were to be excluded from the study; however, for 32 of 1140 (2.80%) individuals with high suicide risk, the health workers insisted that they be included in the study as the group sessions were the only interventions accessible at that time and it would be unethical if they did not receive any form of intervention for their depression. <xref ref-type="app" rid="app4">Multimedia Appendix 4</xref> illustrates details of the protocol deviations.</p>
      </sec>
      <sec>
        <title>Baseline Characteristics of Study Participants</title>
        <p>The sample consisted of slightly more women (612/1140, 53.68%) than men (528/1140, 46.32%). The age of participants ranged from 19 to 80 years, with a mean age of 38.5 (SD 10.9) years. The majority were peasant farmers (622/1140, 54.56%), with primary level education or less (983/1140, 86.22%), without an income-generating activity (828/1140, 72.63%), and without food security (931/1140, 81.67%). Most participants met criteria for major depression (1105/1140, 96.92%) at baseline, as described previously, and reported moderate suicide risk (599/1140, 52.54%). Participants’ function scores ranged from 0 to 10, with a mean function score of 4.98 (SD 2.91). In all, 72.46% of study participants (826/1140) met the criteria for probable posttraumatic stress disorder, and 27.46% (313/1140) met the criteria for hazardous alcohol consumption. <xref ref-type="table" rid="table1">Tables 1</xref> and <xref ref-type="table" rid="table2">2</xref> provide detailed descriptions of participant baseline sociodemographic and psychosocial characteristics, respectively.</p>
        <p>Participants who did not attend any group sessions were significantly more likely to be male than females (χ<sup>2</sup><sub>1</sub>=4.0, <italic>P</italic>=.045) and on average had more depression symptoms (<italic>t</italic><sub><italic>2</italic> </sub>=2.36, <italic>P</italic>=.01) than participants who attended group sessions. <xref ref-type="table" rid="table3">Table 3</xref> provides detailed comparisons of study participants who attended versus those who did not attend any group sessions.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Baseline sociodemographic characteristics of the study participants (N=1140).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="470"/>
            <col width="500"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variable</td>
                <td>Participants</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2"><bold>Age (years)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mean (SD)</td>
                <td>38.5 (10.9)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Range</td>
                <td>19-80</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Gender, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Female</td>
                <td>612 (53.68)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Male</td>
                <td>528 (46.32)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Educational background, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Primary education or lower</td>
                <td>983 (86.23)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Secondary education or higher</td>
                <td>157 (13.77)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Employment status, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Not employed</td>
                <td>405 (35.53)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Employed</td>
                <td>113 (9.91)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Peasant farmer</td>
                <td>622 (54.56)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Relationship status, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Never married</td>
                <td>151 (13.25)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Married or living with partner</td>
                <td>816 (71.58)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Separated or divorced</td>
                <td>87 (7.63)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Widowed</td>
                <td>86 (754)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Has income-generating activity, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Yes</td>
                <td>312 (22.37)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>No</td>
                <td>828 (72.63)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Has savings, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Yes</td>
                <td>302 (26.49)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>No</td>
                <td>838 (73.51)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Has a leadership position in the community, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Yes</td>
                <td>171 (15.00)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>No</td>
                <td>648 (85.00)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Has food security, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Yes</td>
                <td>209 (18.33)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>No</td>
                <td>931 (81.67)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Number of children</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mean (SD)</td>
                <td>4.0 (2.0)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Range</td>
                <td>0-16</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Disability days in the past month</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mean (SD)</td>
                <td>8.5 (9.2)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Range</td>
                <td>0-30</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Baseline monthly income (UGX)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mean (SD)</td>
                <td>7476 (17,651)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Range</td>
                <td>0-150,000</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Baseline savings(UGX)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mean (SD)</td>
                <td>13,758 (40,964)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Range</td>
                <td>0-400,000</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Social economic status index</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Low (quintile 1)</td>
                <td>342 (38.78)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Medium (quintiles 2-4)</td>
                <td>485 (54.99)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>High (quintile 5)</td>
                <td>55 (6.24)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Missing</td>
                <td>258 (22.63)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Baseline psychosocial characteristics of the study participants (N=1140).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="470"/>
            <col width="500"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variable</td>
                <td>Participants</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2"><bold>Major depression, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Met MINI criteria</td>
                <td>978 (85.78)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Clinically depressed</td>
                <td>127 (11.14)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Did not meet any criteria</td>
                <td>13 (1.14)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Missing data</td>
                <td>22 (1.93)</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Suicide risk, n (%)</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Low</td>
                <td>479 (42.02)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Moderate</td>
                <td>599 (52.54)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>High</td>
                <td>32 (2.80)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Missing</td>
                <td>30 (2.63)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Depression score, mean (SD); range</td>
                <td>13.6 (4); 0-20</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Posttraumatic stress score, mean (SD); range</td>
                <td>42.6 (12.5); 16-64</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Function score, mean (SD); range</td>
                <td>5 (2.9); 0-10</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Social support score, mean (SD); range</td>
                <td>44 (20); 0-84</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Self-esteem score, mean (SD); range</td>
                <td>14 (8); 0-32</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Internalized stigma score, mean (SD); range</td>
                <td>22 (5); 8-32</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Alcohol Use(AUDIT) score, mean (SD); range</td>
                <td>6 (9.0); 0-40</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Positive coping skills, mean (SD); range</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Self-distraction</td>
                <td>3.7 (2.0); 2-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Active coping</td>
                <td>4.2 (2.0); 1-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Use of emotional support</td>
                <td>4 (2); 2.0-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Use of venting</td>
                <td>3.9 (2.0); 2-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Acceptance</td>
                <td>4.2 (2.0); 1-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Use of positive reframing</td>
                <td>4 (2.0); 1-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Use of religion</td>
                <td>4.7 (2.0); 0-8</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Negative coping skills, mean (SD); range</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Denial</td>
                <td>5 (2.0); 0-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Self-blame</td>
                <td>2.8 (1.2); 0-4</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Use of alcohol and substances</td>
                <td>4.55 (2.6); 0-8</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Behavioral disengagement</td>
                <td>5.2 (2.0); 0-8</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Enacted stigma (discrimination), mean (SD); range</bold></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Isolation</td>
                <td>2.8 (3.0); 0-10</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Verbal abuse</td>
                <td>2.2 (1.4); 0-4</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Loss of identity</td>
                <td>1.2 (1.2); 0-4</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Unable to access community resources</td>
                <td>2.6 (3.0); 0-10</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>A comparison of eligible study participants who attended versus those who did not attend any group sessions (N=1140).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="320"/>
            <col width="150"/>
            <col width="200"/>
            <col width="100"/>
            <col width="100"/>
            <col width="100"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variable</td>
                <td>Attended (n=1092)</td>
                <td>Did not attend (n=48)</td>
                <td colspan="2">Effect estimate</td>
                <td><italic>P</italic> value</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td>Χ<sup>2</sup><sub>1</sub></td>
                <td><italic>t</italic><sub>2</sub></td>
                <td><break/></td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Age (years), mean (SD)</td>
                <td>38.5 (10.9)</td>
                <td>37 (8.7)</td>
                <td><break/></td>
                <td>0.81</td>
                <td>.20</td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Gender, n (%)</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>4.0</td>
                <td><break/></td>
                <td>.04</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Female</td>
                <td>593 (54.30)</td>
                <td>19 (39.6)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Male</td>
                <td>499 (45.69)</td>
                <td>29 (60.4)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Educational background, n (%)</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>1.1</td>
                <td><break/></td>
                <td>.31</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Primary education or lower</td>
                <td>944 (86.45)</td>
                <td>39 (81.3)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Secondary education or higher</td>
                <td>148 (13.55)</td>
                <td>9 (18.75)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Occupational status, n (%)</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>1.3</td>
                <td><break/></td>
                <td>.53</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Not employed</td>
                <td>385 (35.25)</td>
                <td>20 (41.7)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Employed</td>
                <td>110 (10.10)</td>
                <td>3 (6.3)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Peasant farmer</td>
                <td>597 (54.67)</td>
                <td>25 (52.1)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Relationship status, n (%)</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>3.9</td>
                <td><break/></td>
                <td>.27</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Never married</td>
                <td>149 (13.65)</td>
                <td>2 (4.2)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Married or living with partner</td>
                <td>779 (71.16)</td>
                <td>37 (77.1)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Separated or divorced</td>
                <td>82 (7.51)</td>
                <td>5 (10.4)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Widowed</td>
                <td>82 (7.51)</td>
                <td>4 (8.3)</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2">Depression score, mean (SD)</td>
                <td>13.6 (2.4)</td>
                <td>11.9 (4.4)</td>
                <td><break/></td>
                <td>2.36</td>
                <td>.01</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Correlations Among Depression and Related Psychosocial Variables</title>
        <p>There were several signiﬁcant associations found between depression symptoms and both clinical and psychosocial variables at baseline. Depression symptoms assessed by the MINI were positively correlated with posttraumatic stress symptoms (ρ=.43, <italic>P</italic>&lt;.001), suicide risk (ρ=.32, <italic>P</italic>&lt;.001), stigma (ρ=.30, <italic>P</italic>&lt;.001), number of traumatic experiences (ρ=.25, <italic>P</italic>&lt;.001), and negatively correlated with perceived social support (ρ=–.35, <italic>P</italic>&lt;.001), functioning (ρ=–.22, <italic>P</italic>&lt;.001), self-esteem (ρ=–.39, <italic>P</italic>&lt;.001), and adherence to ART(ρ=–.12, <italic>P</italic>=.05). Suicide risk was positively correlated with posttraumatic stress symptoms (ρ=.28, <italic>P</italic>&lt;.001), number of traumatic experiences (ρ=.21, <italic>P</italic>&lt;.001), stigma (ρ=.2, <italic>P</italic>&lt;.001), and alcohol use (ρ=.21, <italic>P</italic>&lt;.001).</p>
        <p>Adherence to ART was positively correlated with social support (ρ=.15, <italic>P</italic>&lt;.001) and negatively correlated with stigma (ρ=–.14, <italic>P</italic>&lt;.001). The number of traumatic experiences was positively correlated with viral load (ρ=.12, <italic>P</italic>=.05). Correlations between viral load and depression symptoms were positive but weak and nonsignificant. See <xref ref-type="table" rid="table4">Table 4</xref> for the correlation matrix.</p>
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Baseline correlations among depression symptoms and related psychosocial variables (N=1140). *<italic>P</italic>&lt;.001; **<italic>P</italic>&lt;.05.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="120"/>
            <col width="100"/>
            <col width="70"/>
            <col width="90"/>
            <col width="70"/>
            <col width="70"/>
            <col width="70"/>
            <col width="70"/>
            <col width="70"/>
            <col width="70"/>
            <col width="70"/>
            <col width="70"/>
            <col width="60"/>
            <thead>
              <tr valign="top">
                <td>Symptoms and variables</td>
                <td>Depression</td>
                <td>Suicide risk</td>
                <td>Function</td>
                <td>PTSD<sup>a</sup></td>
                <td>Social support</td>
                <td>Self-esteem</td>
                <td>Stigma</td>
                <td>Viral load</td>
                <td>Adherence</td>
                <td>Trauma</td>
                <td>Alcohol Use</td>
                <td>SES<sup>b</sup> Index</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Depression</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Suicide risk</td>
                <td>.32*</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Function</td>
                <td>–.22*</td>
                <td>–.17*</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>PTSD</td>
                <td>.43*</td>
                <td>.28*</td>
                <td>–.36*</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Social support</td>
                <td>–.35*</td>
                <td>–.22*</td>
                <td>.28*</td>
                <td>–.33*</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Self-esteem</td>
                <td>–.40*</td>
                <td>–.21*</td>
                <td>.51*</td>
                <td>–.48*</td>
                <td>.46*</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Stigma</td>
                <td>.30*</td>
                <td>.20*</td>
                <td>–.26*</td>
                <td>.28*</td>
                <td>–.33*</td>
                <td>–.42*</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Viral load</td>
                <td>.02</td>
                <td>.05</td>
                <td>.07</td>
                <td>–.02</td>
                <td>.04</td>
                <td>.08</td>
                <td>–.06</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Adherence</td>
                <td>–.11**</td>
                <td>–.01</td>
                <td>–.00</td>
                <td>–.04</td>
                <td>.15*</td>
                <td>.06</td>
                <td>–.14*</td>
                <td>.05</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Trauma</td>
                <td>.24*</td>
                <td>.21*</td>
                <td>–.11**</td>
                <td>.13*</td>
                <td>–.06</td>
                <td>–.08</td>
                <td>.05</td>
                <td>.12**</td>
                <td>.05</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>Alcohol use</td>
                <td>–.08</td>
                <td>.22*</td>
                <td>.04</td>
                <td>–.06</td>
                <td>–.01</td>
                <td>.09</td>
                <td>.06</td>
                <td>–.05</td>
                <td>.01</td>
                <td>.13*</td>
                <td>1.00</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td>SES Index</td>
                <td>–.04</td>
                <td>.15*</td>
                <td>.02</td>
                <td>–.03</td>
                <td>.09</td>
                <td>.07</td>
                <td>–.02</td>
                <td>.03</td>
                <td>–.01</td>
                <td>.02</td>
                <td>0.02</td>
                <td>1.00</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table4fn1">
              <p><sup>a</sup>PTDS: posttraumatic stress disorder.</p>
            </fn>
            <fn id="table4fn2">
              <p><sup>a</sup>SES: socioeconomic status.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>The SEEK-GSP study tests GSP delivered by trained LHW for treatment of depression in rural areas in postconflict northern Uganda. The recruitment goal for the study was largely achieved, with 95% of the targeted sample size enrolled in the trial in a 14-week period. This finding suggests that participants were easy to recruit for the study and were willing to participate in either study arm. In contrast to previous trials of psychological interventions for depression in sub-Saharan Africa [<xref ref-type="bibr" rid="ref43">43</xref>-<xref ref-type="bibr" rid="ref45">45</xref>], 80% of those recruited in the study attended all group sessions. This high attendance, which was also observed in our previous pilot trial [<xref ref-type="bibr" rid="ref24">24</xref>], indicates keen interest and confirms the acceptability of group interventions in the target population.</p>
      <p>Among trials of psychological interventions to treat depression in PLWH in sub-Saharan Africa, this study is the ﬁrst to enroll a large sample of males. The majority of previous trials of psychological interventions for depression have largely focused on women, including studies by Kaaya and colleagues from Tanzania [<xref ref-type="bibr" rid="ref44">44</xref>], Chibanda and colleagues from Zimbabwe [<xref ref-type="bibr" rid="ref45">45</xref>], and Bolton and colleagues from southern Uganda [<xref ref-type="bibr" rid="ref46">46</xref>]. These studies are important given the dearth of prior studies focused on psychological treatments for depression in sub-Saharan Africa. However, interventions that attract men may be particularly relevant to African communities and may be a promising avenue for engaging them in research and, if eﬃcacious, improving the health of the entire community.</p>
      <p>The baseline data from this study indicate that PLWH with depression are vulnerable on multiple levels and disadvantaged across many social and economic determinants of health. The majority have low education, lack an income-generating activity and food security, and on average were unable to work for 10 days in the month prior to enrollment. These findings are not surprising. Such socioeconomic disadvantage has been documented among HIV-positive populations across the African continent [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>] and is often associated with depression [<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref50">50</xref>].</p>
      <p>Correlation analyses indicate that there are significant positive and negative correlations between depression symptoms and other baseline variables. The positive correlations between depression and posttraumatic symptoms, internalizing stigma and number of traumatic experiences, are not surprising. Several studies have demonstrated the comorbidity of stigma, depression, and posttraumatic stress symptoms in primary care settings [<xref ref-type="bibr" rid="ref51">51</xref>-<xref ref-type="bibr" rid="ref53">53</xref>].</p>
      <p>Among the negative correlations, a larger number of depression symptoms were associated with lower levels of functioning, perceived social support, and self-esteem. Previous studies have confirmed that depression impairs functioning [<xref ref-type="bibr" rid="ref54">54</xref>,<xref ref-type="bibr" rid="ref55">55</xref>], while social support is the most potent buffer against depression [<xref ref-type="bibr" rid="ref56">56</xref>-<xref ref-type="bibr" rid="ref58">58</xref>]. Further, a meta-analysis of 77 longitudinal studies provides consistent support for the fact that low self-esteem contributes to depression [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
      <p>Our study findings further indicate that with a larger number of depression symptoms, there is a lesser degree of adherence to ART, confirming what a myriad of previous studies have shown worldwide [<xref ref-type="bibr" rid="ref59">59</xref>]. We also found a significant positive correlation between the number of traumatic experiences and viral load. Prior longitudinal studies in high-income countries have found a similar association [<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref61">61</xref>]. However, such an association has not been documented among PLWH in sub-Saharan Africa. Overall, our study findings justify the active ingredients of our experimental intervention—GSP which places emphasis on enhancing emotional and social support, coping skills to combat stigma and discrimination, and support economic empowerment.</p>
      <p>This study has a number of limitations. Although our data are drawn from multiple HIV clinics across three districts in northern Uganda, the study participants share the same ethnicity. Given that Uganda is a multiethnic country, our results may not be applicable to other ethnic populations. The study needs to be replicated in other regions of the country. Self-report is not the most reliable measure of ART adherence; therefore, our adherence estimates may represent an overestimate. However, a gold standard for adherence assessment does not exist and different assessment methods have been used in different studies [<xref ref-type="bibr" rid="ref62">62</xref>].</p>
      <p>Despite these limitations, the SEEK-GSP study provides a rich dataset with follow-up of the high number of persons with major depressive disorder and HIV disease in sub-Saharan Africa. The large sample size will allow us to conduct subgroup analyses to assess how some variables, such as gender and psychiatric comorbidities (hazardous alcohol consumption and posttraumatic stress), can modify the effects of GSP on depression. Identifying groups of individuals for whom GSP works best will assist future work toward developing selection criteria to guide referral of patients for GSP. Additionally, variables that mediate the effects of GSP on depression, and subsequently other study outcomes, can thus be identified.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <app id="app1">
        <title>Multimedia Appendix 1</title>
        <p>Health Worker Supervision Checklist.</p>
        <media xlink:href="resprot_v8i1e11560_app1.pdf" xlink:title="PDF File (Adobe PDF File), 275KB"/>
      </app>
      <app id="app2">
        <title>Multimedia Appendix 2</title>
        <p>Geographical distribution of primary health care centers in the study.</p>
        <media xlink:href="resprot_v8i1e11560_app2.png" xlink:title="PNG File, 601KB"/>
      </app>
      <app id="app3">
        <title>Multimedia Appendix 3</title>
        <p>Actual versus expected enrolment of study participants.</p>
        <media xlink:href="resprot_v8i1e11560_app3.png" xlink:title="PNG File, 115KB"/>
      </app>
      <app id="app4">
        <title>Multimedia Appendix 4</title>
        <p>Study protocol deviations.</p>
        <media xlink:href="resprot_v8i1e11560_app4.pdf" xlink:title="PDF File (Adobe PDF File), 16KB"/>
      </app>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">ART</term>
          <def>
            <p>antiretroviral therapy</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">AUDIT</term>
          <def>
            <p>Alcohol Use Disorders Identification Test</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">GSP</term>
          <def>
            <p>group support psychotherapy</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">LHW</term>
          <def>
            <p>lay health worker</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">MINI</term>
          <def>
            <p>Mini International Neuropsychiatric Interview</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">PLWH</term>
          <def>
            <p>person living with HIV</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">SEEK-GSP</term>
          <def>
            <p>Social, Emotional, and Economic Empowerment Through Knowledge of Group Support Psychotherapy</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">WHO</term>
          <def>
            <p>World Health Organization</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The SEEK-GSP study is funded by Grand Challenges Canada (Grant #0770-05) and the MQ Mental Health Fellowship Award (Grant #MQ15FIP100024). The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>EN-M, KW, JO, SM, RM, JB, EM, and JN conceptualized the study and EN-M sought and obtained funding. EM and OH conducted statistical analyses. EN-M and JO managed the literature searches. EN-M, RM, EM, and JN wrote the initial manuscript. SM, RM, HM, ME, EM, and JN revised the manuscript critically for important intellectual content. All authors contributed to the final manuscript.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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