<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Hum Factors</journal-id><journal-id journal-id-type="publisher-id">humanfactors</journal-id><journal-id journal-id-type="index">6</journal-id><journal-title>JMIR Human Factors</journal-title><abbrev-journal-title>JMIR Hum Factors</abbrev-journal-title><issn pub-type="epub">2292-9495</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">v13i1e80705</article-id><article-id pub-id-type="doi">10.2196/80705</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>A Geospatially Customizable Culturally Tailored Just-in-Time Adaptive Intervention for Violence-Affected People Living With HIV: Mixed Methods Acceptability, Feasibility, and User Experience Study</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Skeen</surname><given-names>Simone J</given-names></name><degrees>MA, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Tokarz</surname><given-names>Stephanie</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Gasik</surname><given-names>Rayna E</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Smith</surname><given-names>Ethan A</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Theall</surname><given-names>Katherine P</given-names></name><degrees>MPH, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Clum</surname><given-names>Gretchen A</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Social, Behavioral, and Population Sciences, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University</institution><addr-line>1440 Canal Street</addr-line><addr-line>New Orleans</addr-line><addr-line>LA</addr-line><country>United States</country></aff><aff id="aff2"><institution>Connolly Alexander Institute for Data Science, Tulane University</institution><addr-line>New Orleans</addr-line><addr-line>LA</addr-line><country>United States</country></aff><aff id="aff3"><institution>Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University</institution><addr-line>New Orleans</addr-line><addr-line>LA</addr-line><country>United States</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Kushniruk</surname><given-names>Andre</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Miranda</surname><given-names>Raquel</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>John</surname><given-names>Steven A</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Simone J Skeen, MA, PhD, Department of Social, Behavioral, and Population Sciences, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA, 70112, United States, 1 504-988-5388; <email>sskeen@tulane.edu</email></corresp></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>26</day><month>6</month><year>2026</year></pub-date><volume>13</volume><elocation-id>e80705</elocation-id><history><date date-type="received"><day>15</day><month>07</month><year>2025</year></date><date date-type="rev-recd"><day>27</day><month>03</month><year>2026</year></date><date date-type="accepted"><day>31</day><month>03</month><year>2026</year></date></history><copyright-statement>&#x00A9; Simone J Skeen, Stephanie Tokarz, Rayna E Gasik, Ethan A Smith, Katherine P Theall, Gretchen A Clum. Originally published in JMIR Human Factors (<ext-link ext-link-type="uri" xlink:href="https://humanfactors.jmir.org">https://humanfactors.jmir.org</ext-link>), 26.6.2026. </copyright-statement><copyright-year>2026</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 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://humanfactors.jmir.org">https://humanfactors.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://humanfactors.jmir.org/2026/1/e80705"/><abstract><sec><title>Background</title><p>Posttraumatic stress, along with comorbid mental health challenges and hazardous alcohol use, disproportionately affects people living with HIV. The drivers of these stressors are both intraindividual, rooted in early life adversity and firsthand violence exposures, and contextual, often place-based. Imparting effective coping skills and distinguishing between changeable and unchangeable stressors can improve stress management in the short term, with cascading effects on key HIV continuum of care end points, such as antiretroviral therapy adherence. However, problem- and emotion-based coping skills, delivered via traditional linear in-person group modalities, may falter in the moment. To address this, we adapted the evidence-based Living in the Face of Trauma intervention into an iOS- and Android-native app, featuring daily diary&#x2013;triggered coping skills recommendations, self-guided Living in the Face of Trauma psychoeducational sessions, and a customizable geofencing function.</p></sec><sec><title>Objective</title><p>This mixed methods study aimed to examine the acceptability, feasibility, and user experiences of NOLA (New Orleans, Louisiana) Gem, focusing on user interaction costs relative to geographic ecological momentary assessment (GEMA) alone and refining future optimization options.</p></sec><sec sec-type="methods"><title>Methods</title><p>People living with HIV (N=32) were recruited across New Orleans and initially randomized 1:1 to treatment (NOLA Gem + GEMA) versus control (GEMA) for 21 days. Feasibility was assessed via enrollment and attrition rates. At the immediate postassessment, participants completed acceptability and usability measures and a brief structured usability interview. Analyses included descriptive statistics, bivariate logit modeling, and synergistic human&#x2013;large language model deductive coding.</p></sec><sec sec-type="results"><title>Results</title><p>In total, 30 participants (n=22 in the GEMA + NOLA Gem treatment arm) completed the pilot, representing 94% (n=29) of baseline enrollees. Acceptability was very high across the board: 100% (n=30) of users considered NOLA Gem &#x201C;very&#x201D; or &#x201C;somewhat&#x201D; successful in addressing their daily lives, with 91% (n=28) endorsing increased calm and emotional well-being. In addition, 50% (n=11) of NOLA Gem users were &#x201C;extremely likely&#x201D; (Net Promoter Score=10/10) to recommend the app to friends. Eight (27%) GEMA and GEMA + NOLA Gem users reported privacy concerns. Eleven (50%) NOLA Gem users received geofencing alerts; perceptions of this feature&#x2019;s helpfulness were mixed. No statistically significant sociodemographic or clinical predictors of disparate acceptability or increased privacy concerns were found. No additional frictions were evidenced by GEMA + NOLA Gem versus GEMA users. Qualitatively, NOLA Gem users praised the just-in-time mindfulness, breathing, problem-solving skills delivery, and broader stress control and self-insight benefits. A subset of users pointed out the burdensome length and sometimes inconvenient timing of the daily diaries. Recommendations for next-generation personalization included user-specific dynamic daily diary and geofencing prompt tailoring.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Our small pilot study demonstrated high NOLA Gem acceptability and feasibility, as well as a rich and beneficial user experience among people living with HIV, with clear and actionable opportunities for improvement.</p></sec><sec><title>Trial Registration</title><p>ClinicalTrials.gov NCT05784714; https://clinicaltrials.gov/study/NCT05784714</p></sec><sec sec-type="registered-report"><title>International Registered Report Identifier (IRRID)</title><p>PRR2-10.2196/47151</p></sec></abstract><kwd-group><kwd>mobile health</kwd><kwd>mHealth</kwd><kwd>HIV</kwd><kwd>traumatic stress</kwd><kwd>posttraumatic growth</kwd><kwd>coping</kwd><kwd>geospatial</kwd><kwd>just-in-time adaptive intervention</kwd><kwd>JITAI</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><sec id="s1-1"><title>Background</title><p>Posttraumatic stress is endured by an estimated 28% of people with HIV, globally [<xref ref-type="bibr" rid="ref1">1</xref>]. Nearly two-thirds (64%) report symptoms consistent with diagnosable posttraumatic stress disorder (PTSD) [<xref ref-type="bibr" rid="ref2">2</xref>]. The trauma burden can reach as high as 97.1%, with an average of 4.2 out of 10 recognized adverse childhood experiences (ACEs) on the ACEs Questionnaire, among women with HIV in clinical samples. Lifetime trauma has been linked, in a dose-response manner, to greater likelihoods of self-reported depressive and anxiety symptoms, as well as alcohol and illicit drug use [<xref ref-type="bibr" rid="ref3">3</xref>]. Indeed, the origins of traumatic stress among many people with HIV in the United States are often attributable to multiple sources, including compounded early life adversities, economic hardship, and, in particular, firsthand violence exposures [<xref ref-type="bibr" rid="ref4">4</xref>-<xref ref-type="bibr" rid="ref6">6</xref>]. Brown et al [<xref ref-type="bibr" rid="ref5">5</xref>], in South Carolina, reported 3 overarching components of traumatic life experiences among people with HIV: firsthand extreme violence and secondhand homicide and suicide exposures, physical and sexual assault, and accidents and natural disasters. Among people with HIV, these experiences can encompass childhood sexual abuse [<xref ref-type="bibr" rid="ref4">4</xref>], racial trauma, incarceration [<xref ref-type="bibr" rid="ref5">5</xref>], homelessness, rape, intimate partner and intrafamilial violence, and comorbid life-threatening illness [<xref ref-type="bibr" rid="ref6">6</xref>].</p><p>Brezig et al [<xref ref-type="bibr" rid="ref7">7</xref>], pointing to the disproportionate prevalence of violent (vs nonviolent) trauma among people with HIV, developed a syndemic theory of trauma alongside the acquisition, forward transmission, and later-life outcomes associated with HIV survivorship. Trauma, per the American Psychological Association, can manifest in heightened fear, vulnerability, rumination, disorientation, and dissociative tendencies [<xref ref-type="bibr" rid="ref2">2</xref>]. Among some people with HIV, these symptoms are linked to anger, isolation, distrust [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>], comorbid anxiety, depression, suicidal ideation [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>], and hazardous drug and alcohol use [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref7">7</xref>].</p><p>Through a behavioral medicine lens, posttraumatic stress represents a crucial, robustly demonstrated, within-person determinant of antiretroviral therapy (ART) adherence [<xref ref-type="bibr" rid="ref2">2</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. Among women with HIV, acute trauma is linked to 4 times the odds of lapsed ART [<xref ref-type="bibr" rid="ref7">7</xref>]. Within the Brown et al [<xref ref-type="bibr" rid="ref5">5</xref>] sample, people with HIV who experienced past extreme violence&#x2013;related or death-related trauma were 63% less likely (adjusted odds ratio 0.37, 95% CI 0.15-0.95) to demonstrate adherence than non&#x2013;trauma-exposed participants; people with HIV exposed to any trauma were 58% less likely (adjusted odds ratio 0.42, 95% CI 0.21-0.86). Among Black gay and bisexual men in Baltimore, Maryland, and Jackson, Mississippi, 24% reported past-year physical, sexual, or psychological violence exposure, and recent and lifetime violence exposure was linked to ART nonadherence (adjusted prevalence risk ratio 1.59, 95% CI 1.25-2.01) [<xref ref-type="bibr" rid="ref10">10</xref>]. Qualitatively similar effects, entangling lifetime trauma, mental health challenges, and substance use or misuse as drivers of poor ART adherence are consistently demonstrated across independent samples of people with HIV and US geographies [<xref ref-type="bibr" rid="ref11">11</xref>-<xref ref-type="bibr" rid="ref13">13</xref>], including New Orleans [<xref ref-type="bibr" rid="ref14">14</xref>].</p><p>Narrowly individualistic perspectives on trauma among people with HIV may overlook important neighborhood-based sources of stress [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>] and stressors that can change across time and space even within a single day [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. In New Orleans, neighborhood-level alcohol outlet density has been linked to alcohol misuse among men with HIV and an increased likelihood of endorsing depressive symptoms among women with HIV [<xref ref-type="bibr" rid="ref19">19</xref>]. GPS and daily diary data (from a very small feasibility sample; n=11) demonstrate that people with HIV spend an average of just 19% of their awake time within their own residential Census tracts, exposed to neighborhood crime rates ranging from 1 to 28 per 1000 population and alcohol outlet density rates of 0 to 22 per 1000 as they traversed, on average, 23 Census tracts [<xref ref-type="bibr" rid="ref20">20</xref>]. Emerging evidence, typically captured via geographic ecological momentary assessment, shows that these dynamic place-based factors can affect mood and rumination among people with HIV in New Orleans [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref21">21</xref>].</p><p>Effective coping can interrupt traumatic stress and ART adherence lapses [<xref ref-type="bibr" rid="ref22">22</xref>-<xref ref-type="bibr" rid="ref25">25</xref>]. Specifically, <italic>adaptive</italic> coping, grounded in the coping framework of Lazarus and Folkman [<xref ref-type="bibr" rid="ref26">26</xref>], distinguishes between &#x201C;changeable&#x201D; and &#x201C;unchangeable&#x201D; stressors. The former are approached via problem-focused strategies, such as structured problem-solving and effective communication skills, along with additional cognitive behavioral therapy&#x2013;oriented strategies, while the latter are addressed via emotion-focused strategies, including cognitive restructuring, mindfulness meditation, and confronting irrational beliefs such as &#x201C;all-or-nothing&#x201D; thinking [<xref ref-type="bibr" rid="ref23">23</xref>]. The Living in the Face of Trauma (LIFT) intervention by Sikkema et al [<xref ref-type="bibr" rid="ref25">25</xref>], a Centers for Disease Control and Prevention &#x201C;best evidence&#x201D; intervention for improving coping with early life trauma stressors and HIV, as well as reducing trauma symptom burden, exemplifies this approach. Across a series of pilot studies [<xref ref-type="bibr" rid="ref25">25</xref>] and fully powered randomized controlled trials [<xref ref-type="bibr" rid="ref27">27</xref>], as well as an adaptation for women with HIV in Cape Town, South Africa [<xref ref-type="bibr" rid="ref28">28</xref>], LIFT has demonstrated efficacy in reducing intrusive symptom burden, forward transmission risk behaviors, and avoidance and arousal PTSD symptoms, while improving ART adherence.</p><p>A 15-session, linear, in-person group intervention, LIFT, by definition, does not respond to momentary ecological stressors that people with HIV may encounter throughout the day. Just-in-time adaptive interventions (JITAIs), delivered via smartphone, and often reliant on ecological momentary assessment (EMA) inputs [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>], can prompt users with brief psychoeducational and coping skills refreshers whenever necessary [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref31">31</xref>]. Similarly, geofencing interventions deliver intervention content triggered by spatial inputs, wherever necessary [<xref ref-type="bibr" rid="ref32">32</xref>]. JITAIs have demonstrated preliminary efficacy in reducing ruminative episodes via cognitive behavioral therapy skills prompts and alcohol misuse among homeless adults in pilot studies [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>], as well as robust efficacy profiles among adults transitioning from inpatient alcohol use disorder treatment [<xref ref-type="bibr" rid="ref35">35</xref>], alongside a wide array of mental health endpoints [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Reported acceptability, feasibility, and engagement, including among sexually minoritized men living with HIV [<xref ref-type="bibr" rid="ref38">38</xref>], are generally high [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref39">39</xref>-<xref ref-type="bibr" rid="ref41">41</xref>], with many opportunities for incorporating prospective end user insights [<xref ref-type="bibr" rid="ref42">42</xref>].</p></sec><sec id="s1-2"><title>Study Objectives</title><p>To our knowledge, no prior studies have examined the acceptability, feasibility, and broader user experience of a geographic ecological momentary assessment (GEMA)&#x2013;leveraging JITAI that incorporates trauma-informed principles and personalizable geofencing to meet the needs of people with HIV. We report the findings of the pilot of NOLA (New Orleans, Louisiana) Gem, a JITAI adaptation of LIFT, trialed among a sample of people with HIV enrolled across Greater New Orleans. The NOLA Gem app was adapted from the <italic>Living in the Face of Trauma: An Intervention for Coping with HIV and Trauma</italic> manual, in consultation with Sikkema [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>]. The NOLA Gem study covered Aims I to III. The findings of Aim I are reported in detail in Gasik et al [<xref ref-type="bibr" rid="ref21">21</xref>]. The results of Aim II, the NOLA Gem design synthesizing the insights of Aims I and II (including a detailed user flow diagram and user story maps), and the pilot trial protocol are described in Kabir et al. Here, we report the results of Aim III.</p></sec></sec><sec id="s2" sec-type="methods"><title>Methods</title><p>The NOLA Gem Aim III study was a randomized controlled trial enrolling adults with HIV across Greater New Orleans, spanning from 2023 to 2024.</p><sec id="s2-1"><title>GEMA: Control Arm</title><p>The NOLA Gem app was designed with a control and a treatment version, which were masked to the user. The assignment was dependent on how the user was created in the admin panel by research staff. Both versions had GPS tracking; latitudinal and longitudinal data points were recorded at 1-minute intervals if the device moved more than 20 m for the duration of the 21-day pilot trial [<xref ref-type="bibr" rid="ref43">43</xref>]. GEMA alone, combining GPS tracking and daily diary delivery via text message at 9:00 AM (due by 12:00 PM) and 6:30 PM (due by 9:30 PM) intervals, but lacking any interventional component, constituted the control condition.</p></sec><sec id="s2-2"><title>NOLA Gem + GEMA: Treatment Arm</title><p>The treatment arm of the NOLA Gem app leveraged the GEMA inputs as tailoring variables, calling on fixed decision rules determined in Aim II, to recommend from among 7 &#x201C;just-in-time&#x201D; adaptive coping skills (&#x201C;Set a SMART Goal,&#x201D; &#x201C;Common Irrational Thoughts,&#x201D; etc) mapped to predetermined proximal outcomes [<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. Each skill was adapted from a LIFT worksheet, culturally tailored to invoke drivers of resilience identified by New Orleanian people with HIV in Aim II. Endorsing more than &#x201C;a little stress&#x201D; on daily diary 37f (&#x201C;Since your last diary, how much stress did you feel today from any of the following? <italic>Had an argument with friend, family member, or romantic partner</italic>&#x201D;) elicited deep-linked recommendations for the &#x201C;Adaptive Coping&#x201D; and &#x201C;Common Irrational Thoughts&#x201D; in-app brief skills modules, to give just one example. In addition, NOLA Gem users were provided 7 self-directed sessions (estimated 4&#x2010;13 minutes in duration), grounded in the traditional, linear delivery of LIFT. These sessions offered psychoeducation on maladaptive or adaptive coping strategies, goal setting, and mindfulness meditation, among other topics. As no generalizable across-case geospatial stressors were evident in Aim I [<xref ref-type="bibr" rid="ref21">21</xref>], the NOLA Gem treatment arm included a user-determined, essentially personalizable, geofencing feature. Users were asked at baseline to identify 3 locations that they found to be particularly stressful in their lives. Latitude and longitudinal coordinates for these locations were entered into the admin panel with a 150-m geofence; when users entered this geofence, they received a text message asking if they would like to practice their skills, with a link to the skills section of the app. The NOLA Gem JITAI features, built atop and including all aspects of GEMA, constituted the treatment condition for the duration of the 21-day trial period.</p><p>Illustrative screenshots of NOLA Gem are shown in <xref ref-type="fig" rid="figure1">Figure 1</xref>.</p><p>In both arms, the study app was Health Insurance Portability and Accountability Act&#x2013;compliant and transmitted all data to a Health Insurance Portability and Accountability Act&#x2013;compliant, Crowdbotics-hosted administrator dashboard.</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>The New Orleans, Louisiana (NOLA) Gem + GEMA user interface: panel (A) displays the &#x201C;My Skills&#x201D; and &#x201C;Sessions&#x201D; menus; panel (B) displays a sample daily diary and the resultant skills recommendation prompt. GEMA: geographic ecological momentary assessment.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="humanfactors_v13i1e80705_fig01.png"/></fig></sec><sec id="s2-3"><title>Study Participants and Procedures</title><p>Participants for Aims I and II were convenience-sampled from the longitudinal New Orleans Alcohol Use in HIV cohort, which, since 2017, has followed 365 people with HIV and hazardous alcohol use histories in outpatient care across Greater New Orleans [<xref ref-type="bibr" rid="ref45">45</xref>]. For Aim III, this study enrolled participants from this cohort while diversifying recruitment to include a range (n=12) of local HIV outpatient clinics and community organizations serving people with HIV, which were provided with study recruitment flyers.</p><p>Participants were eligible if they (1) were 18 years or older; (2) maintained a current ART prescription, verified in person or via a photograph uploaded to a secure Qualtrics link; (3) owned a smartphone; and (4) indicated experiencing at least 1 incident of violence on the screener.</p><p>Study enrollment spanned from October 2023 to August 2024. Initially, eligible, consented participants were randomly assigned 1:1 to treatment (NOLA Gem + GEMA) or control (GEMA) arms. Once total enrollment reached 16, the remaining participants were assigned to the treatment arm. This step was taken to address compounding enrollment challenges posed by the ongoing COVID-19 pandemic, specifically the Delta and Omicron variants (during the former wave, Louisiana recorded the highest number of new cases relative to the total population in the United States [<xref ref-type="bibr" rid="ref46">46</xref>]), and Hurricane Ida, which caused widespread evacuations and a prolonged power outage across Orleans Parish [<xref ref-type="bibr" rid="ref47">47</xref>]. By favoring treatment-arm enrollment, we aimed to achieve a sufficiently sized pilot sample to gather preliminary mixed methods evidence of NOLA Gem&#x2019;s acceptability, feasibility, and usability, despite these unforeseen obstacles, while maximizing the potential human benefits of research involvement for people with HIV in New Orleans.</p><p>The study arm was randomly assigned following eligibility verification, prior to the baseline appointment, to streamline onboarding. At the baseline appointment, participants were read an informed consent form aloud, and verbal consent was recorded in Research Electronic Data Capture (REDCap). The NOLA Gem app was then downloaded from the App Store (iOS) or Google Play (Android) onto participants&#x2019; phones using the institutional Wi-Fi. The research assistant enabled notifications and location tracking on participants&#x2019; devices, as well as location services for the NOLA Gem app. Onboarding to both control and treatment conditions was supported by illustrated guides. The baseline assessment was research assistant&#x2013;administered, and responses were recorded in REDCap.</p></sec><sec id="s2-4"><title>Measures</title><sec id="s2-4-1"><title>Baseline Assessment</title><p>Demographics were collected at baseline: name; date of birth (to verify self-reported age); address, including ZIP code; assigned sex; gender (male, female, nonbinary, and a &#x201C;prefer to self-describe&#x201D; open-ended response option); race, using US Census categories along with a self-describe option; Latine heritage, using a single-item indicator; and sexual orientation (heterosexual or straight, gay or lesbian, bisexual, or self-describe). Relationship status, educational attainment, employment, and housing details were collected using measures carried over from the NOAH parent study [<xref ref-type="bibr" rid="ref48">48</xref>]. Participants were administered a 4-item Digital Confidence Score measure (eg, &#x201C;I use a digital device frequently&#x201D;) adapted from Benson [<xref ref-type="bibr" rid="ref49">49</xref>].</p><p>At baseline, a range of clinical variables were captured. Measures used in these analyses, which exploratorily probed potential drivers of, or disparities in, NOLA Gem acceptability, included the 3-item Alcohol Use Disorder Identification Test&#x2013;Consumption, administered to detect potentially hazardous alcohol use patterns [<xref ref-type="bibr" rid="ref50">50</xref>]; the Addiction Severity Index &#x201C;Alcohol/Drugs&#x201D; section, which collected past 30-day frequency of alcohol, cannabis, cocaine or crack, opioid, other, and combined substance use or misuse [<xref ref-type="bibr" rid="ref48">48</xref>]. The PTSD Checklist for <italic>DSM-5</italic> assessed subthreshold and PTSD symptoms that may benefit from treatment [<xref ref-type="bibr" rid="ref51">51</xref>]. The Posttraumatic Growth Inventory evaluated positive within-person aftereffects of traumatic stress, such as deepened spirituality and enhanced appreciation of life [<xref ref-type="bibr" rid="ref52">52</xref>]. The &#x201C;lost friends due to serostatus,&#x201D; &#x201C;disclosure risk,&#x201D; &#x201C;interpersonal discomfort,&#x201D; and &#x201C;hurtful attitudes toward PWH&#x201D; items of the HIV Stigma Scale assessed those domains of internalized HIV stigma [<xref ref-type="bibr" rid="ref53">53</xref>]. The 10-item Kaiser Permanente ACEs Questionnaire collected instances of early-life adversity, neglect, and abuse [<xref ref-type="bibr" rid="ref54">54</xref>].</p></sec><sec id="s2-4-2"><title>Quantitative Postintervention Assessment</title><p>At offboarding, both GEMA and GEMA + NOLA Gem users were administered a range of acceptability and usability measures. These end points (preregistered in Skeen et al,[<xref ref-type="bibr" rid="ref55">55</xref>] crucial for the future trialability and scalability of NOLA Gem, are the focus of this study.</p><p>Acceptability was assessed using a series of study-specific items designed to evaluate ease of use, perceived success in enhancing well-being, and privacy concerns. For example, the first item asked, &#x201C;How often were you able to open and use the NOLA GEM app without confusion, frustration, or asking for help? [Very often, somewhat often, not very often].&#x201D; Ten items, using a 4-point Likert scale, assessed the NOLA Gem app&#x2019;s multifactorial appeal (eg, likeability, visual appeal), and its perceived helpfulness in attaining proximal outcomes; for example: &#x201C;I found NOLA Gem to be helpful in changing habits [Agree, somewhat agree, somewhat disagree, disagree].&#x201D; In addition, to test whether participants were willing to expend their own social capital on behalf of NOLA Gem, an adapted Net Promoter Score (NPS) asked participants about their likelihood of recommending NOLA Gem to a friend (1=not at all likely, 10=extremely likely) [<xref ref-type="bibr" rid="ref56">56</xref>].</p><p>Feasibility was measured via attrition rates postenrollment, daily diary completion rates, and paradata descriptives.</p><p>Usability was assessed with the 8-item User Experience Questionnaire (UEQ)&#x2013;<italic>Short</italic>, an abbreviated version of the UEQ that encompasses both <italic>pragmatic</italic> (determinative of user goals) and <italic>hedonic</italic> (determinative of user pleasure) usability domains. The UEQ uses a 7-point scale with item-specific anchors to deter central tendency biases [<xref ref-type="bibr" rid="ref57">57</xref>]. For accessibility&#x2019;s sake, we simplified these anchors wherever possible. For example, we replaced &#x201C;obstructive&#x201D; with &#x201C;unhelpful&#x201D; in item 1: &#x201C;Rate the app from unhelpful to supportive.&#x201D;</p></sec><sec id="s2-4-3"><title>Qualitative Postintervention Assessment</title><p>Finally, participants were asked a series of open-ended, atheoretical questions: &#x201C;What did you not like about the app?&#x201D; &#x201C;What were your favorite parts of the app?&#x201D; &#x201C;What aspects of the app do you think should be changed?&#x201D; and &#x201C;What aspects of the app do you think should be kept?&#x201D; Responses were digitally recorded and transcribed verbatim into dedicated REDCap fields.</p></sec></sec><sec id="s2-5"><title>Ethical Considerations</title><p>All procedures were reviewed and approved by the Socio-Behavioral Institutional Review Board of the Biomedical and Social Behavioral Institutional Review Boards at Tulane University (reference number 2022&#x2010;1861). All participants provided verbal informed consent. All recorded data were private, confidential, and anonymous. Participants were compensated with a US $30 Amazon gift card for completing their baseline appointment, US $20 via ClinCard for their immediate postassessment and 30-day follow-up visit (each), US $2 via ClinCard for each daily diary completed, and a US $10 Walmart gift card for the 90-day follow-up. Starting in March 2024, after switching to treatment-arm only enrollment, participants were also compensated with US $5 via ClinCard per session completed, with a US $15 bonus if all 7 were completed.</p></sec><sec id="s2-6"><title>Analytic Approach</title><sec id="s2-6-1"><title>Overview</title><p>Background demographic and quantitative acceptability, feasibility, and usability outcomes are reported descriptively. Although the UEQ &#x201C;Data Analysis Tool&#x201D; provides a benchmark usability dataset, these values are not validated for the 8-item UEQ short form [<xref ref-type="bibr" rid="ref58">58</xref>]. Disparate acceptability was assessed, preliminarily, by recoding dichotomous gender (1=male), race (1=Black), Latine identity (yes=1), Test&#x2013;Consumption and Addiction Severity Index item-wise (1=any lifetime alcohol or past 30-day cannabis use, cocaine or crack, or opioid use), dichotomizing the PTSD Checklist for <italic>DSM-5</italic> at the recommended &#x003E;33 cutoff, and median-splitting the Post-Traumatic Growth Inventory and <italic>Digital Confidence Score</italic> sum, for entry into bivariate logit regressions as factor variables [<xref ref-type="bibr" rid="ref59">59</xref>]. Wherever sufficient variation permitted, acceptability outcomes were dichotomized as well (eg, 1 = &#x201C;Agree&#x201D; or &#x201C;Somewhat agree&#x201D; to &#x201C;I found NOLA Gem to be useful&#x201D;). These transformations were undertaken to account for low variability and a very small sample size.</p><p>Particular attention was paid to possible differential drivers of GEMA privacy concerns (recoded such that 1=&#x201C;somewhat&#x201D; and &#x201C;very concerned&#x201D; [<xref ref-type="bibr" rid="ref60">60</xref>]). Potential privacy concern predictors included sexual orientation (1=sexual minority), and median-split HIV Stigma Scale and <italic>ACEs</italic> scores.</p><p>The NPS was computed in the industry-standard manner: scores &#x2265;9 were categorized as <italic>promoters</italic>, scores 7 to 8 as <italic>passives</italic>, and scores &#x2264;6 as <italic>detractors</italic>. The NPS metric was obtained by subtracting the percentage of detractors from the percentage of promoters [<xref ref-type="bibr" rid="ref56">56</xref>].</p><p>While direct control-treatment differentials in acceptability (etc) were not preregistered, we tested for potential GEMA (control) versus NOLA Gem + GEMA (treatment) additive interaction costs exploratorily, via 2-tailed independent-samples <italic>t</italic> test and visual inspection, where warranted [<xref ref-type="bibr" rid="ref61">61</xref>]. Quantitative analyses were run in Stata/SE 18.0 [<xref ref-type="bibr" rid="ref62">62</xref>]. Data visualizations were created using Naqvi spider package for Stata [<xref ref-type="bibr" rid="ref63">63</xref>] and Matplotlib in Python 3.13 [<xref ref-type="bibr" rid="ref64">64</xref>].</p><p>Qualitative responses were analyzed using a rapid, atheoretical, human&#x2013;large language model (LLM) synergistic approach. First, the lead author (SJS), after conducting immersive close readings of the treatment group responses, developed categories inductively, and formalized them within a codebook. The qualitative data frame was transformed by inserting category-specific columns to (1) dummy code each response for every respective category, as warranted, and (2) extract the most salient segment of text: the &#x201C;rationale&#x201D; for the coding application [<xref ref-type="bibr" rid="ref65">65</xref>]. Next, informed by the work of Dunivin et al [<xref ref-type="bibr" rid="ref66">66</xref>] and the CHALET framework of Meng et al [<xref ref-type="bibr" rid="ref67">67</xref>], the &#x201C;Collaborative Human-LLM Analysis for Empowering Conceptualization in Qualitative Research&#x201D; technique was used. Category-by-category deductive coding prompts were formulated. The prompts were &#x201C;few-shot,&#x201D; providing human-synthesized examples, and leveraged contemporary LLMs&#x2019; chain-of-thought capabilities by requiring a 2-sentence justification for each coding decision [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref67">67</xref>]. To maintain data privacy, the Ollama framework was used to run a local on-device 12 billion&#x2013;parameter (12B) Gemma 3, a lightweight open-source extension of Google&#x2019;s proprietary Gemini foundation model [<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref69">69</xref>]. Matching the initial human approach, the 12B Gemma 3 was tasked with (3) dummy coding expressions of each category and (4) providing coding decision justifications (inclusive of the LLM&#x2019;s own &#x201C;rationales&#x201D;) in dedicated columns.</p><p>Initial human-LLM intercoder reliability was computed using Cohen <italic>&#x03BA;</italic>. For any category that demonstrated <italic>&#x03BA;</italic> &#x003C;0.70, a second human consensus coder (ST) resolved coding application discrepancies. All qualitative analyses were conducted in Python 3.13.</p></sec><sec id="s2-6-2"><title>Open Code</title><p>Stata .do and Python .ipynb replication scripts, including deductive coding prompts, are hosted in a dedicated GitHub repository [<xref ref-type="bibr" rid="ref70">70</xref>].</p></sec></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Overview</title><p>The overall pilot sample was generally in their mid- to late-50s, with slight over-representation by men (n=17, &#x003E;55%), a plurality identifying as minoritized sexualities (n=10, &#x003C;45.45% heterosexual/straight), and roughly 3 quarters Black (n=22, 73.33%). A very large majority (n=30, 93.33%) reported &#x003C;US $50,000 past-year household income. Digital confidence scores were high, in the &#x201C;strongly agree&#x201D;&#x2013;&#x201C;agree&#x201D; range on average.</p><p>The pilot sample&#x2019;s demographic details, overall and by study arm, are shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Baseline sociodemographic attributes and digital confidence: NOLA<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup> Gem pilot.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Attribute</td><td align="left" valign="bottom" colspan="3">Descriptives<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Overall (N=30)</td><td align="left" valign="top">Treatment: GEMA<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup> + NOLA Gem (n=22)</td><td align="left" valign="top">Control: GEMA (n=8)</td></tr></thead><tbody><tr><td align="left" valign="top">Age (y), mean (SD; range)</td><td align="left" valign="top">54.2 (11.9; 28&#x2010;74)</td><td align="left" valign="top">51.8 (12.6; 28&#x2010;74)</td><td align="left" valign="top">60.9 (6.06; 50&#x2010;72)</td></tr><tr><td align="left" valign="top" colspan="4">Gender, n (%)<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Male</td><td align="left" valign="top">17 (56.67)</td><td align="left" valign="top">15 (68.18)</td><td align="left" valign="top">2 (25.00)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Female</td><td align="left" valign="top">13 (43.33)</td><td align="left" valign="top">7 (31.82)</td><td align="left" valign="top">6 (75.00)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Nonbinary</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Preferred to self-describe<sup><xref ref-type="table-fn" rid="table1fn5">e</xref></sup></td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top" colspan="4">Sexual orientation, n (%)<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Heterosexual or straight</td><td align="left" valign="top">13 (43.33)</td><td align="left" valign="top">10 (45.45)</td><td align="left" valign="top">3 (37.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Gay or lesbian</td><td align="left" valign="top">11 (36.67)</td><td align="left" valign="top">9 (40.91)</td><td align="left" valign="top">2 (25.00)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Bisexual</td><td align="left" valign="top">3 (10)</td><td align="left" valign="top">1 (4.55)</td><td align="left" valign="top">2 (25.00)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Preferred to self-describe<sup><xref ref-type="table-fn" rid="table1fn5">e</xref></sup></td><td align="left" valign="top">3 (10)</td><td align="left" valign="top">2 (9.09)</td><td align="left" valign="top">1 (12.50)</td></tr><tr><td align="left" valign="top" colspan="4">Ethno-racial identification, US Census categories, n (%)<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>African-American/Black</td><td align="left" valign="top">22 (73.33)</td><td align="left" valign="top">15 (68.18)</td><td align="left" valign="top">7 (87.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Asian</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Multiracial</td><td align="left" valign="top">3 (10)</td><td align="left" valign="top">2 (9.09)</td><td align="left" valign="top">1 (12.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Native Hawaiian or Pacific Islander</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>White</td><td align="left" valign="top">4 (13.33)</td><td align="left" valign="top">4 (18.18)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>dta<sup><xref ref-type="table-fn" rid="table1fn6">f</xref></sup></td><td align="left" valign="top">1 (3.33)</td><td align="left" valign="top">1 (4.55)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hispanic or Latino</td><td align="left" valign="top">2 (6.67)</td><td align="left" valign="top">2 (9.09)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top" colspan="4">Household income in the past year (US $), n (%)<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x003C;10,000</td><td align="left" valign="top">6 (20)</td><td align="left" valign="top">4 (18.18)</td><td align="left" valign="top">2 (25.00)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>10,000-19,999</td><td align="left" valign="top">13 (43.33)</td><td align="left" valign="top">8 (36.36)</td><td align="left" valign="top">5 (62.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>20,000-34,999</td><td align="left" valign="top">3 (10)</td><td align="left" valign="top">2 (9.09)</td><td align="left" valign="top">1 (12.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>35,000-49,999</td><td align="left" valign="top">6 (20)</td><td align="left" valign="top">6 (27.27)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>50,000-74,999</td><td align="left" valign="top">2 (6.67)</td><td align="left" valign="top">2 (9.09)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>75,000-99,999</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x003E;100,000</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top" colspan="4">Housing, n (%)<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Stand-alone single-family home</td><td align="left" valign="top">14 (46.67)</td><td align="left" valign="top">10 (45.45)</td><td align="left" valign="top">4 (50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Apartment, duplex, or multifamily home</td><td align="left" valign="top">13 (43.33)</td><td align="left" valign="top">10 (45.45)</td><td align="left" valign="top">3 (37.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Group home or HIV-tailored group facility</td><td align="left" valign="top">1 (3.33)</td><td align="left" valign="top">1 (4.55)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Homeless or shelter</td><td align="left" valign="top">1 (3.33)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">1 (12.50)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Nursing home</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0 (0)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Preferred to self-describe<sup><xref ref-type="table-fn" rid="table1fn5">e</xref></sup></td><td align="left" valign="top">1 (3.33)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">1 (4.55)</td></tr><tr><td align="left" valign="top" colspan="4">Smartphone OS<sup><xref ref-type="table-fn" rid="table1fn7">g</xref></sup>, n (%)<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Android</td><td align="left" valign="top">18 (60)</td><td align="left" valign="top">12 (54.55)</td><td align="left" valign="top">6 (75.00)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>iOS</td><td align="left" valign="top">12 (40)</td><td align="left" valign="top">10 (45.45)</td><td align="left" valign="top">2 (25.00)</td></tr><tr><td align="left" valign="top" colspan="4">Digital confidence scores, mean (SD)<sup><xref ref-type="table-fn" rid="table1fn8">h</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x201C;I use a digital device frequently&#x201D;</td><td align="left" valign="top">3.53 (0.73)</td><td align="left" valign="top">3.59 (0.73)</td><td align="left" valign="top">3.38 (0.74)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x201C;Most of my friends use digital devices&#x201D;</td><td align="left" valign="top">3.63 (0.49)</td><td align="left" valign="top">3.73 (0.46)</td><td align="left" valign="top">3.38 (0.52)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x201C;I can usually get help if I am stuck&#x201D;</td><td align="left" valign="top">3.37 (0.72)</td><td align="left" valign="top">3.41 (0.80)</td><td align="left" valign="top">3.25 (0.46)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x201C;I feel confident using most digital devices&#x201D;</td><td align="left" valign="top">3.17 (0.83)</td><td align="left" valign="top">3.27 (0.83)</td><td align="left" valign="top">2.88 (0.83)</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>NOLA: New Orleans, Louisiana. </p></fn><fn id="table1fn2"><p><sup>b</sup>Percentages may not total 100 due to rounding.</p></fn><fn id="table1fn3"><p><sup>c</sup>GEMA: geographic ecological momentary assessment.</p></fn><fn id="table1fn4"><p><sup>d</sup>Column percentages by attribute are shown.</p></fn><fn id="table1fn5"><p><sup>e</sup>Details withheld to preserve participant anonymity.</p></fn><fn id="table1fn6"><p><sup>f</sup>dta: decline to answer.</p></fn><fn id="table1fn7"><p><sup>g</sup>OS: operating system.</p></fn><fn id="table1fn8"><p><sup>h</sup>Adapted from Benson [<xref ref-type="bibr" rid="ref49">49</xref>]; scored on a 4-point scale: 4=strongly agree, 3=agree, 2=neutral, 1=disagree.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2"><title>Acceptability</title><p>Acceptability, similarly, was generally very high across measures in the NOLA Gem + GEMA (treatment) group (n=22). Overwhelmingly, 16 (72.73%) participants reported the easy use of the app, with perceived helpfulness more equivocal, but a very small minority (n=2, 0%&#x2010;9.09%) perceiving the app as totally ineffectual. Bivariate logit regressions were null (male, <italic>P</italic>=.40; Black, <italic>P</italic>=.75; Latine, <italic>P</italic>=.26; lifetime alcohol use, <italic>P</italic>=.70; past 30-day drug use, <italic>P</italic>=.29; positive PTSD screen, <italic>P</italic>=.07; &#x003E;median posttraumatic growth, <italic>P</italic>=.15; &#x003E;median digital confidence, <italic>P</italic>=.22), suggesting no detectable social patterning to NOLA Gem acceptability among the pilot sample.</p><p>Nearly a third (n=7, 31.82%) reported GPS-related privacy concerns, though no statistically significant associations with privacy-related concerns were evidenced (male, <italic>P</italic>=.23; minoritized sexuality, <italic>P</italic>=.70; &#x003E;median HIV stigma, <italic>P</italic>=.70; &#x003E;median adverse childhood experiences, <italic>P</italic>=.30; as GEMA was universal, these models used the complete sample, ie, n=30). Consistent with the qualitative findings, nearly a quarter (n=7, 23.33%) found the daily diaries difficult to incorporate into their daily lives. Within the treatment group, 11 activated a custom geofence; though enthusiasm for this feature was mixed, no participants found it &#x201C;not at all&#x201D; helpful.</p><p>The app usage and satisfaction measures are summarized in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Additional measures of multifactorial appeal are plotted in <xref ref-type="fig" rid="figure2">Figure 2</xref>.</p><p>Measures of NOLA Gem&#x2019;s perceived helpfulness are plotted in <xref ref-type="fig" rid="figure3">Figures 3</xref> and <xref ref-type="fig" rid="figure4">4</xref>.</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>App usage and satisfaction: geographic ecological momentary assessment (GEMA) + NOLA<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> Gem (treatment group, n=22).</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Measure</td><td align="left" valign="bottom">Response options, n (%)<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="left" valign="bottom">Mean (SD; range)</td></tr></thead><tbody><tr><td align="left" valign="top">How often were you able to open and use the NOLA Gem app without confusion, frustration, or asking for help?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Very often: 16 (72.73)</p></list-item><list-item><p>Somewhat often: 3 (13.64)</p></list-item><list-item><p>Not very often: 3 (13.64)</p></list-item></list></td><td align="left" valign="top">2.59 (0.73; 1&#x2010;3)</td></tr><tr><td align="left" valign="top">How successful was the app in addressing your daily life?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Very successful: 11 (50)</p></list-item><list-item><p>Somewhat successful: 11 (50)</p></list-item><list-item><p>Not very successful: 0 (0)</p></list-item></list></td><td align="left" valign="top">2.50 (0.51; 1&#x2010;3)</td></tr><tr><td align="left" valign="top">How much has the app increased well-being, sense of calm, or positive feelings?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>A lot: 11 (50)</p></list-item><list-item><p>A little: 9 (40.91)</p></list-item><list-item><p>Not at all: 2 (9.09)</p></list-item></list></td><td align="left" valign="top">2.41 (0.67; 1&#x2010;3)</td></tr><tr><td align="left" valign="top">Did you feel concerned about your privacy while participating in the GPS tracking part of this study?<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Not concerned: 15 (68.18)</p></list-item><list-item><p>Somewhat concerned: 5 (22.73)</p></list-item><list-item><p>Very concerned: 2 (9.09)</p></list-item></list></td><td align="left" valign="top">2.67 (0.61; 1&#x2010;3)</td></tr><tr><td align="left" valign="top">Did you receive text messages encouraging or suggesting skills or sessions to try in the NOLA Gem app?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Yes: 21 (70)</p></list-item></list></td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup></td></tr><tr><td align="left" valign="top">If &#x201C;yes&#x201D; (n=21): How relevant were these to your daily life or stress?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Very: 2 (9.52)</p></list-item><list-item><p>Somewhat: 10 (47.62)</p></list-item><list-item><p>A little: 2 (9.52)</p></list-item><list-item><p>Not at all: 1 (4.76)</p></list-item><list-item><p>Did not use: 6 (28.57)</p></list-item></list></td><td align="left" valign="top">3.48 (1.17; 1&#x2010;4)</td></tr><tr><td align="left" valign="top">Did you receive suggested skills at the end of your daily diaries to try in the NOLA Gem app?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Yes: 21 (70)</p></list-item></list></td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">If &#x201C;yes&#x201D; (n=21): How relevant were these to your daily life or stress?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Very: 7 (33.33)</p></list-item><list-item><p>Somewhat: 10 (47.62)</p></list-item><list-item><p>A little: 4 (19.05)</p></list-item><list-item><p>Not at all: 0 (0)</p></list-item><list-item><p>Did not use: 0 (0)</p></list-item></list></td><td align="left" valign="top">3.14 (0.73; 1&#x2010;4)</td></tr><tr><td align="left" valign="top">Geofencing alerts were text messages that appear when you neared areas you identified as stressful at the start of the study. Did you receive any geofencing alert text messages during the study period?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Yes: 11 (50)</p></list-item></list></td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">If &#x201C;yes&#x201D; (n=11): How helpful were these recommendations in the moment?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Very: 5 (45.45)</p></list-item><list-item><p>Somewhat: 3 (27.27)</p></list-item><list-item><p>A little: 2 (18.18)</p></list-item><list-item><p>Not at all: 0 (0)</p></list-item><list-item><p>Did not use: 1 (9.09)</p></list-item></list></td><td align="left" valign="top">3.45 (0.93; 1&#x2010;4)</td></tr><tr><td align="left" valign="top">Was the timing of the daily diaries easy for you to incorporate into your daily life?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>No: 7 (23.33)</p></list-item></list></td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">(If &#x201C;no&#x201D;) Which timeframe was difficult for you to answer within?</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>9:00 AM-12:00 PM: 4 (57.14)</p></list-item><list-item><p>6:00 PM-9:00 PM: 0 (0)</p></list-item><list-item><p>Both timeframes: 3 (42.86)</p></list-item></list></td><td align="left" valign="top">&#x2014;</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>NOLA: New Orleans, Louisiana. </p></fn><fn id="table2fn2"><p><sup>b</sup>Percentages may not add to 100 due to rounding.</p></fn><fn id="table2fn3"><p><sup>c</sup>Reverse coded.</p></fn><fn id="table2fn4"><p><sup>d</sup>Not applicable.</p></fn></table-wrap-foot></table-wrap><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>NOLA Gem acceptability: domain general. Diamond markers denote mean ratings, and error bars indicate SDs. NOLA: New Orleans, Louisiana.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="humanfactors_v13i1e80705_fig02.png"/></fig><fig position="float" id="figure3"><label>Figure 3.</label><caption><p>NOLA Gem acceptability: perceived helpfulness. Diamond markers denote mean ratings, and error bars indicate SDs. NOLA: New Orleans, Louisiana.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="humanfactors_v13i1e80705_fig03.png"/></fig><fig position="float" id="figure4"><label>Figure 4.</label><caption><p>NOLA Gem acceptability (control): perceived helpfulness. Diamond markers denote mean ratings, and error bars indicate SDs. NOLA: New Orleans, Louisiana.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="humanfactors_v13i1e80705_fig04.png"/></fig><p>Because the control-treatment comparison was essentially additive, building features atop the already-demanding GEMA deployment, we tested for between-group differences in acceptability measures. Although, descriptively, GEMA measures tended to be higher (eg, treatment: mean 2.59, SD 0.73 vs control: mean 2.75, SD 0.46 for &#x201C;able to open the app without confusion&#x201D;), between-group <italic>t</italic> tests were uniformly null (<italic>P</italic>=.13&#x2010;.87).</p><p>NPS scores averaged (mean 7.70, SD 3.04). <italic>Promoters</italic> comprised 63.64% (n=14), and <italic>detractors</italic> comprised 22.73% (n=5) of the GEMA + NOLA Gem treatment sample, yielding an NPS metric of 40.91, approaching the generally accepted &#x2265;50 &#x201C;excellent&#x201D; score [<xref ref-type="bibr" rid="ref56">56</xref>].</p></sec><sec id="s3-3"><title>Feasibility</title><p>At baseline, 32 participants were enrolled, with 30 (93.75%; this study&#x2019;s analytic sample) completing the 21-day trial period and completing &#x2265;1 daily diary. Sociodemographic attributes of noncompleters are withheld to maintain participant confidentiality.</p><p>NOLA Gem paradata, collected from the treatment arm, showed that in a majority of the 607 completed daily diaries, across all participants (n=22), no skill was recommended: 463 (76.28%). Only 3 (13.64%) of the users completed 0 skills, and in 1 instance, technical errors may have prevented data recording.</p><p>These usage distributions are shown in <xref ref-type="table" rid="table3">Table 3</xref>.</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Living in the Face of Trauma (LIFT) skills: recommendations, time spent, completions: geographic ecological momentary assessment (GEMA) + New Orleans, Louisiana (NOLA) Gem (treatment group, n=22).</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="2">Skill</td><td align="left" valign="bottom" rowspan="2">Recommendation frequency, n (%)<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="bottom" colspan="2">Minutes spent</td><td align="left" valign="bottom" rowspan="2">Completion frequency, n (%)<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup></td></tr><tr><td align="left" valign="bottom">Count of 0-minute users, <italic>n</italic><sub>0</sub></td><td align="left" valign="bottom">Median<sub>&#x003E;0</sub> (range<sub>&#x003E;0</sub>)</td></tr></thead><tbody><tr><td align="left" valign="top">Adaptive coping</td><td align="left" valign="top">14 (9.72)</td><td align="left" valign="top">14</td><td align="left" valign="top">10.0 (1&#x2010;409)</td><td align="left" valign="top">26 (12.68)</td></tr><tr><td align="left" valign="top">Breathing retraining</td><td align="left" valign="top">46 (31.94)</td><td align="left" valign="top">12</td><td align="left" valign="top">6.0 (1&#x2010;13)</td><td align="left" valign="top">46 (22.44)</td></tr><tr><td align="left" valign="top">Choosing a coping strategy</td><td align="left" valign="top">15 (10.41)</td><td align="left" valign="top">17</td><td align="left" valign="top">3.5 (1&#x2010;15)</td><td align="left" valign="top">30 (14.63)</td></tr><tr><td align="left" valign="top">Common irrational thoughts</td><td align="left" valign="top">14 (9.72)</td><td align="left" valign="top">16</td><td align="left" valign="top">3.0 (1&#x2010;31)</td><td align="left" valign="top">27 (13.17)</td></tr><tr><td align="left" valign="top">Journal writing</td><td align="left" valign="top">14 (9.72)</td><td align="left" valign="top">17</td><td align="left" valign="top">36.0 (7&#x2010;137)</td><td align="left" valign="top">16 (7.80)</td></tr><tr><td align="left" valign="top">Meditation</td><td align="left" valign="top">31 (21.53)</td><td align="left" valign="top">12</td><td align="left" valign="top">7.0 (2&#x2010;59)</td><td align="left" valign="top">41 (20)</td></tr><tr><td align="left" valign="top">SMART<sup><xref ref-type="table-fn" rid="table3fn3">c</xref></sup> goal-setting</td><td align="left" valign="top">10 (6.94)</td><td align="left" valign="top">15</td><td align="left" valign="top">8.0 (1&#x2010;74)</td><td align="left" valign="top">19 (9.27)</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>Calculated as <italic>n</italic> skill-specific recommendations/144 total skills recommendations.</p></fn><fn id="table3fn2"><p><sup>b</sup>Calculated as <italic>n</italic> skill-specific completions/205 skills completions; completions&#x003E;recommendations due to user-determined &#x201C;pull&#x201D; (nonprompted) skills practice.</p></fn><fn id="table3fn3"><p><sup>c</sup>SMART: specific, measurable, achievable, realistic, and able to be achieved in time.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-4"><title>User Experience</title><sec id="s3-4-1"><title>Overview</title><p>The short-form UEQ yielded generally good scores for NOLA Gem across the board, particularly on the &#x201C;Supportive/helpful&#x201D; (mean 5.82, SD 1.47), &#x201C;Easy&#x201D; (mean 5.91, SD 1.93), and &#x201C;Efficient&#x201D; (mean 6.14, SD 1.36) criteria. UEQ scores were qualitatively similar across conditions, suggesting negligible additional burden associated with the NOLA Gem components relative to GEMA alone.</p><p>The distribution of these scores by study arm is visualized in <xref ref-type="fig" rid="figure5">Figure 5</xref>.</p><fig position="float" id="figure5"><label>Figure 5.</label><caption><p>Short-form User Experience Questionnaire (UEQ) mean scores spider plot [<xref ref-type="bibr" rid="ref63">63</xref>]: geographic ecological momentary assessment (GEMA) (control) versus New Orleans, Louisiana (NOLA) Gem + GEMA (treatment).</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="humanfactors_v13i1e80705_fig05.png"/></fig></sec><sec id="s3-4-2"><title>Qualitative Description</title><p>When prompted, many participants were able to specify their favorite NOLA Gem features. These favorites did not, however, exhibit any across-case consistencies: &#x201C;I like how it was designed, the colors were very calming &#x2026; It was simple and it was easy to navigate&#x201D; (participant C); &#x201C;The meditation, the extra sessions, the definitions. I read everything and it was very reassuring and inventive&#x201D; (participant K). Some participants intuited the &#x201C;just-in-time&#x201D; EMA-triggered mechanisms of action, as captured by a &#x201C;You seem a little stressed &#x2026; it will tell you what you can do&#x201D; in vivo code: &#x201C;[I liked the app] asking about your health and your condition &#x2026; When it&#x2019;s checking up on your skills based on how you feel at one point in time in your daily diary of what you&#x2019;re doing, depending on what space you&#x2019;re in at the time&#x201D; (participant I); &#x201C;[I liked] the way when it asks you a question you seem a little stressed today it will tell you what you can do to relieve stress. I liked that&#x201D; (participant R). Participant L described benefiting from a broad range of intervention components:</p><disp-quote><p>I had a better [understanding] of myself, meditation and breath control, I really enjoyed all parts of the app and most of the time I got satisfactory. Men don&#x2019;t talk and think about their feelings and I really liked how it brought my feelings to the surface. When I do meditation, thanks to your app I learned that I don&#x2019;t have to be professional, I can just do it how it works for me. It also played a role in increasing my self-esteem. I never practiced breathing but thanks to your app I learned how to do it through the stomach.</p></disp-quote><p>These benefits sometimes came with inherent tradeoffs, as pointed out by participant C:</p><disp-quote><p>My favorite part is the different type of coping mechanisms that are offered. It will be great for those who need them, if they can get past the survey.</p></disp-quote><p>Six persistently evident across-case topics were detected amid the qualitative responses, 4 subordinate to an overarching &#x201C;Frictions and frustration&#x201D; category. Cohen <italic>&#x03BA;</italic> scores, by code, ranged from 0.49 to 1.00. As such, human-LLM coding applications of &#x201C;EMA questionnaire length [<italic>&#x03BA;</italic>=0.64],&#x201D; &#x201C;EMA prompt timing [<italic>&#x03BA;</italic>=0.63],&#x201D; &#x201C;EMA item attunement [<italic>&#x03BA;</italic>=0.68],&#x201D; and &#x201C;You seem a little stressed &#x2026; it will tell you what you can do [in vivo; <italic>&#x03BA;</italic>=0.49]&#x201D; underwent additional human triangulation and review to achieve consensus.</p><p>The length and timing of the daily diary surveys were consistently mentioned as frustrations among NOLA Gem participants: &#x201C;The number of questions. Unable to complete the questions in three hours. Inconvenience part of the three-hour time limit&#x201D; (participant E); &#x201C;Survey is too long and redundant. No reason to ask the same questions in a different way&#x201D; (participant F). Participant E pointed to the daily conflicts potentially raised by study participation (and, by extension, intervention fidelity): &#x201C;Being that I work on a boat that starts at 6 and doesn&#x2019;t dock until 10, I do not have time to complete the entries&#x201D;; &#x201C;The times for diaries were inconvenient due to my work schedule,&#x201D; participant P concurred. The daily diary&#x2019;s <italic>attunement</italic> to the lives of enrolled people with HIV, as well as each question&#x2019;s cultural congruence and ecological validity in tapping routine stressors, was questioned sporadically as well: &#x201C;the questions were all basically the same, in some cases it did not include emotions that I thought should be included &#x2026; it asked about seeing trash in the neighborhood and I don&#x2019;t really understand how is that relevant for daily life&#x201D; (participant J); &#x201C;I do not drink and I could not answer the questions. Did not feel the questions applied to everyday life experiences for PWH&#x201D; (participant H). In addition, occasional malfunctions were experienced by certain users: &#x201C;I don&#x2019;t like that it glitches, last time I used it, it wasn&#x2019;t glitching, this time you could not log in man I didn&#x2019;t like that&#x201D; (participant G).</p><p>Although some participants described the app&#x2019;s &#x201C;perfection&#x201D; (&#x201C;Nothing is going to be perfect, but this app is perfect. All the tools. Keep it authentic, just the way you designed it,&#x201D; participant L), various recommendations for updates were elicited. These included multimedia options: &#x201C;&#x2026; incorporating audio to where it&#x2019;s like soothing or calming white noise, ocean, waterfalls, stuff like that&#x201D; (participant C). Participant J felt that opportunities remain to activate the <italic>adaptive</italic> aspect of JITAI design: &#x201C;I think that it should be a little more interactive, more interactive and it should adjust to what questions are being asked &#x2026; doesn&#x2019;t seem to be lifelike; say after it asked about being depressed, it would just move on to the next question rather than going deeper into it.&#x201D; Similarly, participant P saw opportunities for enhanced personalization of the geofencing feature: &#x201C;Just ask if a person is okay with being reminded that they&#x2019;re in a stressful area before they get alerted about it being stressful if you didn&#x2019;t ask beforehand.&#x201D;</p></sec></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>We trialed NOLA Gem, a trauma-informed JITAI leveraging GEMA inputs to provide people with HIV in New Orleans adaptive coping skills refreshers, against a GEMA-exclusive control, over a 21-day pilot period. In general, GEMA + NOLA Gem users (n=22) endorsed high acceptability, particularly in domains of perceived helpfulness, ease of comprehension, and ease of use. Of the 32 participants enrolled, 30 (93.75%) completed at least 1 daily diary, highlighting the app&#x2019;s feasibility. Among GEMA + NOLA Gem (treatment-arm) participants, for every skill, completions exceeded recommendations, indicating a nontrivial rate of &#x201C;pull,&#x201D; or user-determined, app interactions, and suggesting valuable &#x201C;Big E&#x201D; (behavioral) engagement among a subset of dedicated users [<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. Most skills saw zero inflation among their &#x201C;minutes spent&#x201D; distributions, which were heavily skewed; this pattern might indicate user self-selection into accessible LIFT skills. Conversely, these users might miss out on new and potentially more beneficial coping skillsets. Qualitative user experience concerns converged on the frictions and interaction costs associated with the twice-daily EMA inputs: their sometimes-inconvenient timing and often-burdensome duration. While the relatively low skills recommendation rate <italic>among</italic> daily diary completers suggests those items may not be parsimoniously tapping frequently encountered stressors, the lower recommendation rates also prevent habituation&#x2014;users &#x201C;tuning out&#x201D; a JITAI due to excess &#x201C;push&#x201D; notifications of no clear benefit [<xref ref-type="bibr" rid="ref44">44</xref>]. Nevertheless, many participants declined to offer recommendations for next-generation changes, describing the app as &#x201C;perfect&#x201D; and acknowledging the value of the &#x201C;just-in-time&#x201D; adaptive coping skills delivery intuitively.</p><p>The <italic>protocolization</italic>, or defining the ruleset that determines how intraindividual dynamic inputs trigger just-in-time interventions [<xref ref-type="bibr" rid="ref44">44</xref>], for each stressor-triggered adaptive coping skills prompt was formally mapped by the study team via feature hypothesis charting in 2022. Work on within-person JITAI optimization has advanced substantially since then, incorporating methods as diverse as reinforcement learning [<xref ref-type="bibr" rid="ref71">71</xref>], <italic>N</italic>-of-1 model-predictive controller personalization algorithms [<xref ref-type="bibr" rid="ref72">72</xref>], LLM-enabled free-text user preference updates in real time [<xref ref-type="bibr" rid="ref73">73</xref>], and, most commonly, microrandomized controlled trials to isolate the most promising, in Nahum-Shani terms, &#x201C;states of vulnerability/opportunity&#x201D; and &#x201C;states of receptivity&#x201D; for momentary intervention delivery [<xref ref-type="bibr" rid="ref74">74</xref>]. NOLA Gem, in contrast, was protocolized based on the findings of Aims I and II [<xref ref-type="bibr" rid="ref21">21</xref>] and HIV biobehavioral domain expertise. These rulesets were static [<xref ref-type="bibr" rid="ref55">55</xref>], even as they responded daily to EMA inputs. It is evident, based on our qualitative findings, that the sprawling battery of inflexibly scheduled daily diaries [<xref ref-type="bibr" rid="ref55">55</xref>] was the primary driver of user burden and, as such, the foremost threat to acceptability. Despite some participants&#x2019; insistence that &#x201C;nothing&#x201D; in NOLA Gem should change, a clear opportunity exists to optimize the JITAI mechanisms of action, <italic>re</italic>-protocolizing and pruning surplus daily diary measures in an evidence-based manner.</p><p>Though, by most standards, our findings support the advancement to a fully powered randomized controlled trial, in light of the abovementioned emergent methods for JITAI optimization, an additional microrandomized controlled trial cycle using contemporary techniques may further enhance acceptability. Launching intraindividual microrandomized trials, the most robust <italic>stressor &#x2192; state of receptivity &#x2192; coping skill &#x2192; proximal outcome &#x2192; distal outcome</italic> dynamics can be modeled and protocolized, at a within-person and within-user base (eg, across an outpatient HIV clinic network) level [<xref ref-type="bibr" rid="ref75">75</xref>]. Indeed, the required in-app feature set already exists, in the form of single-item &#x201C;SkillCheck&#x201D; quizzes tap each delivered skill&#x2019;s success in improving a hypothesized JITAI-consistent proximal outcome.</p><p>Such improvements would benefit the prospective user base of people with HIV. However, the efficiencies built in by such a &#x201C;pruning&#x201D; cycle would benefit future clinical workflow integration&#x2014;a potential prerequisite to a successful Phase III trial&#x2014;and, ultimately, scalability and sustainment. The nonadoption, abandonment, scale-up, spread, and sustainability of technological innovation framework recognizes 7 domains. These include the condition, or health issue itself; the technology under consideration; its inherent value proposition, supply- or demand-side; adopters, including staff, patients, caregivers, and providers; organizational climate; political and regulatory considerations; and temporal aspects of implementation and organizational resilience (or lack thereof) [<xref ref-type="bibr" rid="ref76">76</xref>]. Interventions that incorporate rampant complexity across the sum of these domains are shown, across empirical case studies and hermeneutic literature reviews [<xref ref-type="bibr" rid="ref77">77</xref>], to rarely, if ever, achieve scale and sustainability. HIV prevention and treatment, despite past policy successes, remain subject to a volatile political climate [<xref ref-type="bibr" rid="ref78">78</xref>]. People with HIV engaged in outpatient care endure poverty, violence, and medical and psychiatric comorbidities disproportionately [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref79">79</xref>]. Complexity, across the HIV continuum of care, is all but assured. Even at the pilot stage, it is incumbent upon technologists and HIV digital therapeutics investigators to prioritize simplicity, wherever possible, in intervention design and delivery. The NOLA Gem pilot study, and, in particular, the valuable insights contributed by NOLA Gem pilot users, lay the groundwork for concurrent optimization via simplification to advance next-generation HIV mobile health.</p><p>This study is subject to limitations as well. First, the pilot sample was not powered to detect between-group differences, either in GEMA versus GEMA + NOLA Gem acceptability (a proxy for differential interaction costs [<xref ref-type="bibr" rid="ref61">61</xref>]), or predictors of disparate acceptability across subsets of outpatients with HIV. Null findings on these questions should be understood as highly preliminary. In particular, we are unable to extend the important work of Hubach et al [<xref ref-type="bibr" rid="ref60">60</xref>], revealing EMA-related confidentiality concerns among a sample of rural men who have sex with men. A confluence of external factors&#x2014;namely the COVID-19 variants still endemic in Louisiana, and Hurricane Ida [<xref ref-type="bibr" rid="ref46">46</xref>,<xref ref-type="bibr" rid="ref47">47</xref>]&#x2014;delayed the trial launch substantially, hampering our ability to obtain our preregistered enrollment target of 60 participants, and to achieve balanced 1:1 random assignment. Though oversampling treatment-arm participants was ultimately to the benefit of these analyses, focused on the experiences of those NOLA Gem&#x2013;assigned participants, our capacity to demonstrate equivocal acceptability across GEMA and JITAI paradigms is, similarly, undermined. We are also unable to gauge meaningful engagement metrics via paradata due to the small sample size, beyond a dichotomized &#x201C;high&#x201D; versus &#x201C;low&#x201D; engager subsetting [<xref ref-type="bibr" rid="ref80">80</xref>]. Although these findings suggest future directions for NOLA Gem optimization, and support the need for a fully powered randomized controlled trial, attention toward protocolizing user-centered in-app adaptiveness to spur engagement is needed [<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref75">75</xref>].</p></sec><sec id="s4-2"><title>Conclusions</title><p>Trauma, particularly trauma rooted in firsthand violence exposures, disproportionately affects the health and wellbeing of people with HIV [<xref ref-type="bibr" rid="ref1">1</xref>]. Interventions tailored to the needs of people with HIV must not only address environmental stressors across spatial and temporal dimensions [<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref20">20</xref>], but they must also embrace principles of trauma-informed care [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. To this end, we developed NOLA Gem, a smartphone-delivered JITAI adaptation of the effective LIFT group intervention [<xref ref-type="bibr" rid="ref39">39</xref>]. This pilot study demonstrated the acceptability, feasibility, and usability of NOLA Gem, supporting future optimization, and a fully statistically powered evaluation of the app&#x2019;s efficacy among outpatients with HIV.</p></sec></sec></body><back><ack><p>The authors extend their gratitude to Kathleen J. Sikkema, Meghna Daga, and Anudnya Durgule of Crowdbotics; the nursing and research staff at the Louisiana State University Clinical and Translational Research Center; their Tulane-affiliated study staff (Lauren Baker, Claire English, Leah Kimbrough, and Chelsea Solano) and the participants of the New Orleans, Louisiana Gem pilot trial.</p></ack><notes><sec><title>Funding</title><p>New Orleans, Louisiana Gem is funded by National Institute on Alcohol Abuse and Alcoholism R34AA028961 and P60AA009803. Additional support was provided by National Institute of General Medical Sciences U54GM104940, which funds the Louisiana State University Clinical and Translational Science Center. SJS was supported by a Garvin Shands Saunders Foundation scholarship for the duration of this work.</p></sec></notes><fn-group><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">ACE</term><def><p>adverse childhood experience</p></def></def-item><def-item><term id="abb2">EMA</term><def><p>ecological momentary assessment</p></def></def-item><def-item><term id="abb3">GEMA</term><def><p>geographic ecological momentary assessment</p></def></def-item><def-item><term id="abb4">JITAI</term><def><p>just-in-time adaptive intervention</p></def></def-item><def-item><term id="abb5">LIFT</term><def><p>Living in the Face of Trauma</p></def></def-item><def-item><term id="abb6">LLM</term><def><p>large language model</p></def></def-item><def-item><term id="abb7">NOLA</term><def><p>New Orleans, Louisiana</p></def></def-item><def-item><term id="abb8">NPS</term><def><p>Net Promoter Score</p></def></def-item><def-item><term 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