Abstract
Given the popularity of social media among young men who have sex with men (YMSM), and in light of YMSM’s elevated and increasing HIV rates, we tested the feasibility, acceptability and preliminary efficacy of a live chat intervention delivered on Facebook in reducing condomless anal sex and substance use within a group of high risk YMSM in a pre-post design with no control group. Participants (N = 41; 18–29 years old) completed up to eight one-hour motivational interviewing and cognitive behavioral skills-based online live chat intervention sessions, and reported on demographic, psychosocial, and behavioral characteristics at baseline and immediately post-intervention. Analyses indicated that participation in the intervention (n = 31) was associated with reductions of days of drug and alcohol use in the past month and instances of anal sex without a condom (including under the influence of substances), as well as increases in knowledge of HIV-related risks at 3-month follow-up. This pilot study argues for the potential of this social media-delivered intervention to reduce HIV risk among a most vulnerable group in the United States, in a manner that was highly acceptable to receive and feasible to execute. A future randomized controlled trial could generate an intervention blueprint for providers to support YMSM’s wellbeing by reaching them regardless of their geographical location, at a low cost.
Keywords: Young men who have sex with men, HIV risk, Motivational interviewing, Cognitive behavioral skills training, Substance use, Mental health
Introduction
Young men who have sex with men (YMSM) represent the group with the highest incidence of new HIV infections in the U.S. and one of the few risk groups in the U.S. with increasing rates of infection [1]. Ninety one percent of all HIV diagnoses among adolescent males ages 13–19 were attributed to same-sex contact, and the greatest percentage increase in HIV incidence between 2006 and 2009 occurred in YMSM 13–24 years of age [2–4]. The primary mode of HIV acquisition for MSM is through condomless anal intercourse, [5–13] while drug and alcohol use have been shown to exacerbate the odds for risky sexual encounters [4, 5, 7, 8, 10, 12, 14–23]. Both condomless sex and substance use are relatively normative within gay communities and frequently co-occur [9, 10, 12]. Further, sexual risk behaviors among MSM are driven by experiences of gay-, race-, and HIV-related stigma and discrimination [5, 24–26] and poor mental health [27–34] Thus, effective HIV prevention approaches for YMSM might benefit from simultaneously addressing these determinants of sexual health and co-occurring health outcomes [27, 35], some of which we apply in the current intervention.
Effectively engaging YMSM in HIV prevention also requires appealing and convenient delivery modalities, including taking advantage of popular venues [36–39]. Social media, or platforms where virtual networks of individuals connect to communicate interactively online, represents one such modality with particular appeal, accessibility, reach, and cost-effectiveness for YMSM [40]. Similar to other groups, YMSM demonstrate a well-established reliance on electronic means of communication, including social media technology that enables meeting sex partners and forming sexual connections [41–43]. YMSM, in particular, learn about sex and initiate meaningful social and sexual connections on the internet, increasingly through social media technologies [44]. Virtual social and sexual networking venues are increasingly important in the lives of many YMSM [45], with social media especially forming a core component of young cohorts’ social and sexual development. Importantly, leading social and sexual lives through social media may increase YMSM’s risk for HIV infection [42, 46–48]. Therefore, social media platforms, such as Facebook, represent promising avenues for reaching YMSM for the purposes of HIV prevention that would resonate with their contemporary lifestyles and sexual health needs [45, 49].
In-office HIV prevention interventions, while generally effective [50], are not preferred by many MSM, who are more likely to delay or avoid seeking health services compared to heterosexual men due to perceived provider bias and a relative lack of visibility of competent services for this population [51]. In-office health promotion interventions may not be highly desirable for YMSM in particular given that they rely heavily on the internet for health information and as a primary source of socialization, communication, and learning [44]. In fact, YMSM report strong willingness to receive health promotion intervention services online [52]. They indicate significant openness to engaging in health-related online communication with providers about mental, sexual, and relationship health, in addition to discussing substance use, HIV risk reduction, and developmental influences on both [52]. Consequently, several online interventions have shown success in recruiting and retaining MSM [40, 53–55] and favorably impacting condom use [53, 56–59], mental health [57], HIV-related knowledge [53, 54], HIV risk reduction self-efficacy [53, 54], number of sex partners [57], HIV testing behavior [39, 60], and HIV status disclosure [56, 59]. However, to our knowledge, no interventions to-date have taken advantage of social media platforms to most effectively deliver HIV prevention to YMSM through these frequently used, highly convenient venues where many YMSM conduct their social and sexual lives.
In response to the internet’s having become a powerful tool for both HIV risk and prevention [36], we created Motivational Interviewing (MI) Communication about Health, Attitudes, and Thoughts (MiCHAT) [61], a pilot project to test the feasibility and acceptability of an online intervention to reduce HIV risk among YMSM. Towards this goal, we iteratively modified an efficacious MI-based in-office intervention [7] for live chat internet delivery via social media. The resulting intervention, MiCHAT, integrates two intervention strategies with substantial empirical support for reducing health-risk behaviors: MI to enhance participants’ motivation to reduce health risks and increase protective behaviors [62–70], and cognitive behavioral skills training (CBST) to further promote behavior change [71]. MiCHAT incorporates a focus on personal, social, and contextual determinants of HIV risk, including substance use, gay community norms, mental health, and gay-related stigma among MSM into motivational and skills-building components, as well as real-time behavioral tracking of risk behavior and relevant contexts.
In this paper, we present the results of the pilot study testing the feasibility, acceptability, and preliminary efficacy of this first MI/cognitive behavioral skills-training (CBST)-based live chat social media HIV prevention intervention among YMSM who both engage in condomless anal sex with high-risk male partners and use substances. We hypothesize that intervention participants will demonstrate a significant decrease in HIV risk from baseline to follow-up in primary outcomes, which include condomless anal sex and drug/alcohol use. Additionally, given psychosocial correlates of HIV risk, we postulate that participation in this intervention will lead to significant improvement in secondary outcomes, which include mental health (e.g., depression), gay-related stigma, and components of the IMB model.
Methods
Participants and Procedures
Between February and December 2012, potential participants were recruited via Facebook (16.4 %), Craigslist (2.7 %), e-blasts sent by gay-themed-event promoters (15.8 %), Adam4Adam banner ads (6.2 %), and Grindr pop-up ads (6.1 %). Potential participants clicked on a link to a secure preliminary eligibility screener. We also screened potentially eligible participants from former studies who had indicated an interest in future research (30.1 %). Finally, participants were also recruited through friend referral (6.8 %), as well as field recruitment (10.7 %), where recruiters screened potential participants for eligibility using iTouch devices (a small computer with Wi-Fi capabilities that can be used for data collection in the field) in a variety of venues catering to gay, bisexual, and other MSM—including bars, sex venues, streets in predominately gay neighborhoods, and LGBT community events. Potential participants recruited online and in the field had the option to provide contact information at the end of the screener, in a separate survey, and the research staff later contacted them to describe the study, conduct a more thorough eligibility screening by phone, and schedule those who were eligible and interested for a hybrid phone-internet baseline appointment.
We conducted 146 eligibility screenings by phone, of which 41 (28 %) were eligible. Eligible participants were: born and self-identified as male; 18–29 years of age; reported a negative or unknown HIV status; had used drugs—specifically cocaine, methamphetamine, or ecstasy—on at least five of the past 90 days; and had at least one incident of condomless anal sex with an HIV-positive or status-unknown main partner, or casual partners of any HIV status in the past 90 days; or, had used the aforementioned drugs with an instance of condomless anal sex meeting the above criteria. The Institutional Review Board of the investigators’ institution approved all procedures.
Consent Process
Prior to the baseline assessment, participants were asked to email an image of their photo identification to the Project Coordinator for age confirmation. Once age eligibility was verified, copies of the participants’ identification were destroyed to prevent potential breaches of confidentiality. At the time of the baseline assessment, project staff called the participants and emailed them a link to an electronic version of the consent form. The staff read through the consent form with the participants, explained all study details, answered their questions, and clarified any points of confusion. Participants then provided an electronic signature indicating their consent to participate in the study, after which they received an electronic version of the consent form. None of the YMSM undergoing the consent process refused participation.
Assessments
There were two types of assessments, a baseline and an immediate post-intervention follow-up, both of which were audio-recorded for verification of protocol fidelity and data quality assurance purposes. Each assessment contained (1) a phone interview portion to record sexual and substance use behavior in the prior 30 days (Timeline Follow Back [TLFB] calendar [72, 73], described below), assess readiness and motivation to change drug use and condomless anal sex behaviors (“Contemplation Ladders,” [74, 75]); (2) and a self-administered assessment of psychosocial characteristics (e.g., mental health, stigma), to which participants were sent a link to an online survey following the phone interview. Participants had 1 week to complete the online survey.
In order to minimize potential bias created by utilizing the same staff for assessment and intervention delivery, different staff members conducted the TLFB assessment and delivery of MI intervention sessions (see counselor description below). Lastly, participants completed a postintervention assessment mirroring the baseline assessment procedures and measures, immediately after the last intervention session for those completing all eight sessions or after several attempts were made to engage participants in completing as many sessions as possible (See Fig. 1). This follow-up assessment occurred approximately 3 months after baseline. Participants were compensated $40 in cash for each completed assessment. A final evaluation interview, conducted by study investigators over the phone and compensated with $30 in cash, provided in-depth qualitative feedback from participants’ experiences with the study. All participants spoke English and completed assessments and intervention sessions in English.
Fig. 1.
Participant study completion
Intervention
MiCHAT was based on an efficacious in-office HIV prevention intervention delivered in four sessions to non-treatment-seeking YMSM who engaged in condomless anal sex and substance use [7]. To translate the in-office intervention for delivery via Facebook chat, our team conducted a series of focus groups and interviews with 13 participants from the original in-office intervention to gather suggested adaptations. Former in-office intervention participants [5–7] were contacted to provide feedback on their experiences with the study and its adaptation for online delivery. To obtain diverse perspectives for the development of MiCHAT, we contacted participants who (1) completed the minimal intervention dose of at least 3 of 4 sessions, (2) completed only 1–2 sessions, and (3) refused to participate in intervention sessions but agreed to be assessed over 12 months. Two of the investigators conducted the interviews and focus groups, and took notes of participant suggestions regarding how to create a feasible and acceptable online intervention from the original inoffice intervention. The investigators then isolated elements relevant to modifying the intervention, and revised the intervention accordingly, and then presented the revised intervention to the participants for final feedback. This intervention development process and resulting intervention content is described in detail elsewhere [61] and summarized in Fig. 2 here. In addition to including modifications for facilitating social media delivery (e.g., guidance on online communication and online rapport building, confidentiality protections), the resulting MiCHAT intervention included new intervention content. This new content included writing exercises and homework assignments to address psychosocial and contextual risk factors such as stigma and mental health, as relevant, but not as direct targets of the intervention. CBST exercises were added to complement the MI treatment base for participants who were motivated to enact behavior change. CBT exercises included effective communication, self-monitoring, positive events scheduling and behavioral activation, cognitive restructuring, and exercises for strengthening and accessing social support as an effective coping strategy. Finally, counselors distributed links to online informational resources as relevant to each participant’s risk behavior.
Fig. 2.
MiCHAT structure
Thus, counselors used the MI treatment base to provide information about substance use and sex risk, enhance motivation and personal responsibility, and establish goals for reducing both target behaviors. CBT was introduced in the latter sessions to help motivated participants achieve their health goals. In its deployment of information and behavioral skills against a motivation-enhancing backdrop, MiCHAT adheres to the principles of the Information-Motivation-Behavioral Skills (IMB) model of health behavior change [76–78].
Counselors, Training, Supervision and Intervention Delivery
Seven Master’s- and PhD-level therapists delivered the intervention and possessed prior experience delivering MI and CBST intervention techniques in research and clinical settings. A licensed clinical psychologist conducted the initial training, led weekly individual and group supervision, and provided feedback on 95 % of sessions. Training occurred through a two-day didactic seminar and completion of a mock course of treatment. A treatment manual, developed through the process described above and detailed elsewhere [61], guided therapists in delivering the treatment.
Sessions took place over the chat feature of Facebook. The Project Coordinator created secure, anonymous study accounts for each participant. Facebook accounts contained no identifying information; instead, participants received a unique numeric identification number. Similarly, therapists created Facebook accounts specifically for use in this study that contained their professional picture, educational and professional background, and resources for participants to use throughout the study (e.g., links to psychosocial and health informational resources.) The highest security settings allowed by Facebook were maintained throughout the study for each participant. To further protect participants’ privacy and confidentiality, at the beginning of each intervention chat session, the therapists verified that participants were in private spaces where they did not risk others reading their chat session. At the end of each session, the therapists asked participants to clear the text of the chat session and their internet browsing history. We configured the account settings so that no participants could see the profiles or existence of other participants. We encouraged participants not to post personal information on their study profiles, including pictures or identifiable information. At scheduled times, the counselor and participant signed into their study Facebook accounts and opened chat windows, where they completed each week’s session. All chat-sessions generated downloadable text from the secure Facebook interface, which was reviewed in supervision.
Measures
Demographics
Participants reported their age, race/ethnicity, sexual identity, income, education, and relationship status (Table 1).
Table 1.
Descriptive characteristics of study sample and comparisons by intervention attendance
Total N = 41 | No sessions n = 10 | At least 1 session n = 31 | Test statistic | |
---|---|---|---|---|
Demographics (n, %) | ||||
Race/ethnicity | n.s. | |||
Black | 7 (17.1) | 1 (10) | 6 (19.4) | |
Latino | 9 (22.0) | 1 (10) | 8 (25.8) | |
Other | 3 (7.3) | 0 (0) | 3 (9.7) | |
White | 22 (53.7) | 8 (80) | 14 (45.2) | |
Race | n.s. | |||
White | 22 (53.7) | 8 (80) | 17 (54.8) | |
Person of color | 19 (46.3) | 2 (20) | 14 (45.2) | |
Income | n.s. | |||
Less than $30,000 | 19 (46.3) | 3 (30) | 16 (51.6) | |
$30,000 or more | 22 (53.7) | 7 (70) | 15 (48.4) | |
Education | n.s. | |||
High school or less | 3 (7.3) | 1 (10) | 2 (6.4) | |
Some college | 11 (26.2) | 3 (30) | 8 (25.8) | |
Bachelor’s degree or more | 27 (65.9) | 6 (60) | 21 (67.7) | |
Sexual Identity | n.s. | |||
Gay | 35 (85.4) | 8 (80) | 27 (87.1) | |
Bisexual | 5 (12.2) | 2 (20) | 3 (9.7) | |
Uncertain | 1 (2.4) | 0 (0) | 1 (3.2) | |
Relationship status | n.s. | |||
Single | 35 (85.4) | 9 (90) | 26 (83.9) | |
In a relationship | 6 (14.6) | 1 (10) | 5 (16.1) | |
Age (mean, SD) | 25.2 (3.22) | 25.0 (2.75) | 25.3 (3.39) | n.s. |
Primary and secondary outcomes (n, %) | ||||
Primary outcomes | ||||
Heavy drinking days | 9.44 (7.22) | 9.30 (4.97) | 9.48 (7.88) | n.s. |
Number of drug days | 5.07 (6.28) | 2.60 (1.58) | 5.87 (7.01) | t(37.1) = 2.42* |
Anal sex without condom | 7.63 (16.95) | 2.40 (2.80) | 9.32 (19.20) | n.s. |
Anal sex without condom UI | 5.05 (16.07) | 1.80 (2.39) | 6.10 (18.38) | n.s. |
Secondary Outcomes | ||||
Taking knowledge (I) | 14.29 (1.79) | 14.30 (1.49) | 14.29 (1.90) | n.s. |
Sexual knowledge (I) | 9.95 (3.12) | 9.60 (3.41) | 10.06 (3.08) | n.s. |
Drug ladder (M) | 6.63 (2.08) | 7.60 (1.27) | 6.32 (2.21) | t(27.5) = −2.27* |
Sex ladder (M) | 7.95 (1.83) | 8.10 (2.23) | 7.90 (1.72) | n.s. |
Drug Taking Confidence Questionnaire (B) | 47.00 (15.31) | 42.80 (11.08) | 48.36 (16.37) | n.s. |
Safer sex self-efficacy (B) | 43.39 (13.13) | 41.50 (11.75) | 44.00 (13.67) | n.s. |
Depressive symptoms | 14.00 (5.99) | 12.00 (3.56) | 14.65 (6.50) | n.s. |
Anxious symptoms | 12.66 (6.30) | 11.60 (5.25) | 13.00 (6.64) | n.s. |
Gay-related stigma | 39.10 (13.29) | 34.90 (7.82) | 40.45 (14.47) | n.s. |
I Information, M Motivation, B Behavioral skills,
p<0.05
Primary Outcomes
The outcomes of interest—condomless anal sex with a casual partner (overall and under the influence of drugs/alcohol) and number of days of drug use—were collected using a 30-day timeline follow-back interview (TLFB.) [72, 73] Critical life events (e.g., vacations, birthdays, parties) were reviewed retrospectively to prompt recall of daily sex and drug use behavior. The TLFB has previously demonstrated good test–retest reliability, convergent validity, and agreement with collateral reports for drug abuse [79] and for sexual behavior [80, 81], and has been utilized with substance-using YMSM [19, 62, 82]. Each day was coded for drug use (alone and with sex), heavy drinking (5 or more drinks that day), sexual partner and type (main/casual), and condom use. Staff received extensive training and supervision in the administration of the TLFB and maintained good rapport throughout. They were also trained in being non-judgmental and sex-positive in order to facilitate honest self-reports and to respect the priorities and behaviors of all participants.
Psychosocial Outcomes
Participants self-administered several online measures related to the IMB model and gay-related stigma and mental health (specifically anxiety and depression), which have been shown to be associated with HIV risk [83, 84]. The information component of the IMB model was measured with two scales pertaining to the effects of drug use and sexual health knowledge. The former comprised of seven multiple choice items about the effects of cocaine, methamphetamine and ecstasy, with some item examples being “Long-term use of crystal meth can cause.” and “Which types of drugs should you not take together…?” [85]. The latter was an adaptation of the Sexual Health Knowledge Questionnaire for HIV-negative MSM (18 items in a true/false format, α = 0.70) [86]. Item examples are: “Having another STD makes it easier for an HIV+ person to give HIV to an HIV-negative partner.” and “HIV can be transmitted through oral sex, but the risks are much lower than for anal or vaginal sex.” Participants received a point for each correct response, therefore higher scores indicated more accurate HIV-related sexual health knowledge.
The motivation component of the IMB model comprised of motivation to change drug use and condomless anal sex behaviors (“Contemplation Ladders.” [74, 75]) Each of the ladders entailed ten items (configured as rungs on a ladder) pertaining to how ready one was to change their risk around drug or condom use, respectively. For example, a participant would select number 1 to indicate no intentions to change behavior (e.g., “I enjoy sex without condoms and have decided to never change it. I have no interest in using condoms.”); a score of 10 indicates that a change has occurred to minimize risk behavior and it is believe to be permanent (e.g., “I have changed my drug use and will never go back to the way I used drugs before.”) The Ladders instrument was delivered during the phone portion of the assessment. Participants were emailed the actual instrument ahead of time and the assessor read it along with them. Participants were asked to verbally communicate their answer to the assessor, who circled the correct number on a hard copy in the office.
The behavioral self-efficacy skills component of the IMB model consisted of the Drug Taking Confidence Questionnaire and Safer Sex Efficacy Questionnaire. The Drug Taking Confidence Questionnaire (α = 0.91) measures individuals’ confidence in their ability to resist the urge of using drugs in contexts that are typically considered conducive to such behaviors, which was rated on a Likert-type scale with response options from 1 (“not at all”) to 6 (“completely”.) Example items are: “How confident would you feel about being able to resist the urge of using drugs if… you wanted to celebrate with a friend” or “…you had been drinking and thought about using drugs.” Lastly, participants’ sense of control over and skill regarding their condom use was measured using the 13-item Safer Sex Self-Efficacy Questionnaire (α = 0.94.) [87, 88] Participants were asked “How confident are you that you could avoid having anal sex without a condom…” across a variety of different sexual situations (e.g., “when you really want sex?” and “when you are drunk or high on drugs?”). Responses range on a Likert-type scale from 1 (not at all confident) to 5 (extremely confident) and were summed to form an overall score ranging from 13 to 65.
The Gay-Related Stigma Scale [25] is a modified version of the HIV Stigma Scale [89]. There are two components of the stigma scale, 10 items each, with response options on a scale from 1 to 4. The first pertains to personally perceived stigma from friends and family in relation to disclosing sexual orientation (α = 0.93,) and includes items such as “I have been hurt by how people reacted to learning that I’m gay or bisexual” or “Since realizing that I’m GBT, I feel isolated from the rest of the world.” The second addresses ways in which one conceals their sexual minority identity due to stigma (α = 0.80,) with item examples being “I worry that people may judge when they learn I’m GBT” or “Telling someone I’m GBT is risky.” Anxiety and depression scores were obtained with the Brief Symptom Inventory Scale [90], a 12-item scale (α = 0.85). Participants are asked, on a Likert scale, whether they experienced a variety of symptoms in the previous 7 days, such as “nervousness or shakiness inside” or “feelings of worthlessness.”
Statistical Analyses
Descriptive statistics were computed to assess sample characteristics and the distribution of study variables. We compared participants who attended at least one intervention session to those who did not attend the intervention using Chi square tests and independent samples t tests. To evaluate changes in primary outcomes from baseline to 3-month follow-up, we used nonparametric tests (Wilcoxon signed rank tests), given the skewed distribution of the outcome variables. For secondary outcomes, which were normally distributed, we used paired samples t tests. For both primary and secondary outcomes, we expected to have a power of 0.95 at an alpha of 0.05 to detect a small effect size (Cohen’s d) based on a priori powered analyses, which were conducted using G-power (version 3.1), which we used to estimate the expected power and effect size for each of our analyses. Primary analyses included the 27 participants who completed both the baseline and follow-up assessments; however, we also used sensitivity analyses for the subsample of participants who attended at least one intervention session and also completed the follow-up assessment (n = 22). Results of these analyses were unchanged, therefore, in order to present the most conservative results, we present findings from analyses based on the sample of 27 participants with both baseline and follow-up assessments completed.
Results
Participant Characteristics
Forty-one YMSM enrolled in MiCHAT and completed the baseline assessment (see Table 1), with nearly half the sample being YMSM of color (46 %). Participants’ mean age was 25 years (SD = 3.22) with a range of 18 to 29 years old. The sample was diverse in terms of socio-economic status; 46 % earned less than $30,000 annually and 34 % reported less than a bachelor’s degree. The majority of the sample (85 %) identified as being gay. All participants reported engaging in anal sex without a condom in the previous 30 days before baseline, with the average number of anal sex acts without a condom during that time being 7.63 (SD = 16.95), while the average number of anal sex acts without a condom under the influence of alcohol or drugs was 5.05 (SD = 16.07). Participants reported an average of 9.44 (SD = 7.22) heavy drinking days in the 30 days prior to their baseline assessment, and an average of 5.07 (SD = 6.28) drug-use days.
Session Attendance
Thirty-one of the forty-one participants (75.6 %) completed a baseline assessment and attended at least one of the eight intervention sessions (see Fig. 1 for enrollment and retention details). There were no significant differences in session participation by recruitment source. Those who attended intervention sessions (n = 31) had a significantly higher number of drug days at baseline than those who did not attend any intervention sessions (n = 10) (M = 5.9 versus M = 2.6; p < 0.05). No significant differences were found in age, race/ethnicity, income, education, or frequency of drug use or engagement in anal sex without a condom between those who attended sessions and those who did not. Among those who attended at least one intervention session and completed the follow-up assessment (n = 27) the average attendance was 5.74 (SD = 3.29) sessions. Of the 31 participants who engaged in intervention sessions, 19 (61 %) completed the minimum dose of at least five sessions (which contain the core motivational interviewing components of the intervention).
Efficacy of the Intervention
Figure 3 and Table 2 present efficacy results. We found significant reductions in risk behaviors between baseline and follow-up (Fig. 3). For primary outcomes, we found significant differences between baseline and follow-up assessments, such that the intervention was associated with decreased HIV-related risk behaviors in the past 30 days for the number of anal sex acts without a condom (M = 8.96 vs. M = 3.11, p = 0.042; dz = 0.40) and number of anal sex acts without a condom under the influence of drugs (M = 6.89 vs. M = 0.81, p < 0.001; dz = 0.44) (Fig. 3). We also found decreases in the number of heavy drinking days (M = 10.70 vs. M = 8.52, p = 0.082) and number of drug days (M = 5.52 vs. M = 3.30, p = 0.073), but the effect sizes for both these analyses (dz = 0.29 and 0.38, respectively) indicate that these analyses were underpowered.
Fig. 3.
Decreases in primary risk outcomes from baseline to follow-up (n = 27)
Table 2.
Secondary outcomes from baseline to follow-up (n = 27)
Outcome | Baseline
|
Follow-up
|
t test | Cohen’s d | ||
---|---|---|---|---|---|---|
Mean | SD | Mean | SD | |||
IMB model components | ||||||
Information | ||||||
Drug taking knowledge | 14.40 | 1.76 | 15.07 | 1.11 | −1.98 (p = 0.05) | 0.45 |
Sexual knowledge | 9.5 | 3.1 | 10.74 | 3.25 | −2.67 (p = 0.01) | 0.39 |
Motivation | ||||||
Drug use ladder | 6.72 | 2.3 | 7.36 | 1.5 | −1.32 (p = 0.20) | 0.32 |
Condom use ladder | 8.04 | 1.79 | 8.32 | 1.62 | −0.85 (p = 0.40) | 0.16 |
Behavioral skills | ||||||
Drug Taking Confidence Questionnaire | 47.29 | 14.63 | 49.88 | 18.73 | −1.04 (p = 0.30) | 0.16 |
Safer sex self-efficacy | 43.22 | 13.01 | 43.03 | 13.34 | 0.05 (p = 0.96) | −0.01 |
Depressive symptomsa | 14.48 | 6.37 | 13.37 | 6.00 | 1.33 (p = 0.19) | −0.10 |
Anxious symptoms | 13.29 | 6.59 | 13.1 | 6.83 | 0.14 (p = 0.88) | −0.03 |
Gay-related concealment stigmaa | 20.33 | 6.6 | 18.18 | 5.5 | 1.37 (p = 0.18) | −0.35 |
Non-significant change for reductions in depressive symptoms and gay-related concealment stigma
Changes were also found in participants’ information/knowledge regarding substance use and sexual risk, consistent with IMB model components [77, 91] (Table 2). Specifically, there were significant increases in knowledge of sexual risk from baseline to follow-up (M = 9.52 vs. M = 10.74, p = 0.01) and increases in knowledge of the deleterious effects of substance use (M = 14.40 vs. M = 15.07, p = 0.05). There were no statistically significant changes from baseline to follow-up in participants’ motivation to reduce condomless anal sex acts and drug use (the Drug and Sex Ladders) or behavioral efficacy skills (Drug Taking Confidence and Safer Sex Efficacy Questionnaires) (Table 2). Lastly, our analyses indicated reductions in depressive symptoms (M = 14.48 vs. M = 13.37, p = 0.19) and gay-related concealment stigma (M = 20.33 vs. M = 18.18, p = 0.18) (Table 2). The reductions in depression and stigma were not statistically significant, but that the effect size for the latter (dz = −0.35) argues for the stigma analysis being underpowered. Further, the effect size for depression (dz = −0.10) is close to negligible. Results were unchanged when we conducted the same analyses on the 22 participants who attended at least one session and completed the follow-up assessment.
Acceptability and Feasibility of the Intervention
The one-hour phone interviews conducted by investigators with 23 participants (83 % of session participants) at the end of the study revealed an overwhelmingly positive evaluation of the project, including its scope, structure, and impact. We inquired about motivation for participation, intervention structure, length, content, comfort with communicating sensitive information via chat, and privacy and confidentiality concerns, as well as ease of navigating a virtual therapeutic relationship with counselors. Common reasons for participation were intrigue over this type of counseling modality and a desire to contribute towards “the good of the community.” Session and intervention duration were both found to be appropriate for orienting participants towards their goals and providing them with skills to achieve them. Participants deemed the content to be relevant because “it was about me.” Many expressed gratitude for having had a rare or first opportunity to explore issues of sexual health, risky circumstances, partnerships, and drug use with someone they deemed to be both non-judgmental and professional. The intervention begins by asking participants to choose their top three priorities in an electronic “card sort exercise,” [92] which emerged as highly revealing and useful. Specifically, participants are directed during the first session of the intervention to a link where they view a comprehensive list of values/priorities (e.g., health, honesty, appearance, finances, etc.), which they weigh in relation to their current standing and desired future achievements. Based on these considerations, they select three values that are most important to them and to which they return throughout the MiCHAT counseling sessions. In their final evaluation interviews, participants expressed that this exercise prompted them to “take a step back and look at my life and patterns,” and “stop and think” about the reasons behind behavior, or “have a bird’s eye view of my life.” Participants reported that conversations with counselors permeated their subsequent navigation of sexual and social contexts involving risk and substance use. They began viewing these contexts critically and exerting self-efficacy in changing their approach to risky scenarios, distancing themselves from “party and play” peer groups, and seeking alternative modes of socialization that were still fulfilling and less “harmful” to their health. Our continuous efforts to protect participants’ online privacy and confidentiality were effective in that not one interviewed participant reported privacy concerns and all expressed full trust in our commitment and ability to protect their data and identities. All interviewed participants, without exception, reported building a trustworthy therapeutic relationship with their counselors, with whom they comfortably shared sensitive information related to their substance use and sex lives as they considered changing these behaviors. Participants made several recommendations for improvement, such as delving into core issues (e.g., risky behaviors) earlier in the process by spending less time focused on study logistics, which we provided amply to reassure participants of their confidentiality and privacy being secured, and to minimize miscommunication in the absence of non-verbal cues and voice inflection. Some participants also expressed a desire for speedier session communication with counselors, which was in some cases impeded by text use, and suggested supplementing the intervention with voice or image media.
Discussion
While several interventions have demonstrated efficacy in reducing HIV risk behaviors among YMSM, the increasing incidence of HIV infection among this group calls for continued strides in intervention content and delivery modalities [38, 50, 83, 93, 94]. The MiCHAT intervention described here integrates MI and CBT exercises to increase knowledge, motivation, and behavioral skills for reducing sex risk and substance use. By delivering MiCHAT via Facebook, the most popular social media platform among young people including YMSM, we capitalized on the familiarity and accessibility of this venue where YMSM already conduct their lives [39]. Results indicate that participation in MiCHAT was associated with reductions in condomless anal sex overall, condomless anal sex under the influence of substances, and substance use (cocaine, ecstasy, methamphetamine, heavy drinking) at the immediate post-intervention assessment. Participants additionally reported significant engagement with the intervention, trust in their counselors, and that the intervention helped them consider their values, assess health risks, reflect on their goals and begin working towards them.
Given that HIV infection among YMSM is driven by several factors, such as stigma, we also examined the influence of the intervention on this determinant of risk. We found that participation in MiCHAT was associated with reductions in concealable stigma, despite the fact that the intervention did not specifically target this aspect directly. Given that gay-related stigma is associated with HIV risk behavior [35], our findings suggest important avenues for future work [5, 6]. Importantly, MiCHAT participation was associated with an increase in knowledge about sex and substance use risk, although not with self-reported motivation to change or self-efficacy for change, thus, only partially supporting the IMB model. This singular effect for improving knowledge, but not motivation and behavioral skills, is consistent with other studies where not all IMB model components were validated in relation to HIV risk [84], and may suggest a lack of generalizability of this model across contexts, including online interventions or application to younger cohorts of MSM [5].
Nevertheless, results suggest that MiCHAT represents a promising intervention in terms of content and delivery modality, capable of reducing condomless anal sex, substance use, and their co-occurrence among YMSM. Preliminary support also exists for MiCHAT’s potential ability to impact important contextual determinants of these risk behaviors, such as gay-related stigma. Incorporation of such targets in a next iteration of a larger MiCHAT study might lead to significant reductions in stigma, which might serve as a mediator of the intervention’s impact on health-risk behavior. Specifically, studies have also shown that HIV risk messages may be less effective for those with high levels stigma [95] and that HIV risk is associated with increased levels of stigma [5, 6, 96]. Thus, alleviating the impact of perceived stigma may lead to reductions in risk behavior by allowing participants to be more fully receptive to the intervention’s message and goals. Preliminary efforts to develop such interventions are currently underway [35].
A particularly notable finding was related to substance use, which has been shown to exponentially increase the odds of HIV transmission [6–8, 10]. Specifically, it was intriguing that those who engaged in sessions reported significantly more substance use and lower motivation to change this behavior at baseline than those who did not complete sessions. This, in combination with the finding that drug use days were significantly reduced at follow-up, shows the promise of this intervention for impacting substance use, especially if scaled up and available in a completely mobile format for men regardless of their geographical location.
Several limitations suggest possible future research directions. First, given the small sample size, the present study was underpowered to detect statistically significant effects in all outcomes. Further, the small sample of this pilot did not allow us to assess mediation or moderation effects to uncover the mechanisms through which this study effected behavior change, and the men for whom it was particularly likely to be efficacious. The lack of a control group, while appropriate for this preliminary feasibility and acceptability trial, precludes causal inference and the ability to rule out a therapeutic effect of time. While the effect sizes were small-to-moderate, it is plausible that the intervention did not have an impact beyond the effects of undergoing pre-post intervention assessments. Further, without including longer follow-up assessments, we are unable to determine the durability of the intervention effects. Future tests of MiCHAT’s efficacy, therefore, should employ randomization, a control group, sufficient sample size, and repeated follow-up assessments. Future research might also seek to deliver MiCHAT via a range of social media technologies, including fully mobile platforms which can further increase accessibility and appeal for reaching YMSM, especially those who are highly mobile. Lastly, participants’ feedback based on their intervention participation identified potential barriers to technology-based intervention delivery, such as the need to describe online study protections in depth, and constitute useful suggestions for a next iteration of this study.
Future research ought to compare MiCHAT against an inoffice MI/CBT intervention or against a social media control intervention [39, 97–99] without the enhanced components of MiCHAT, in order to determine MiCHAT’s causal role in health behavior improvement and potential mechanisms of change, such as reduced depression [27, 35]. A fast-developing modality of reaching YMSM includes mobile and application (app)-based avenues, for which MiCHAT would constitute an ideal candidate given its strong potential for mobile adoption, as well as some of our participants’ desire to access sessions on their mobile devices. A more mobile version of MiCHAT could also take advantage of real-time risk monitoring and behavioral feedback [100, 101]. Further, participants in MiCHAT suggested alternatives to text-based delivery, such as voice (phone), and/or in combination with live video chat. These media alone or in configuration with each other may circumvent some difficulties tied to constraints of MiCHAT’s text-based delivery, specifically slower pace, variability in writing proficiency, and the lack of non-verbal cues in text exchanges, which are otherwise essential in communication.
Delivering a MI/CBT intervention over social media presents challenges. For example, former in-office intervention participants who contributed to the development of MiCHAT expressed concerns with privacy and confidentiality, and were to an extent reluctant to envision discussions of individuals’ sexual lives on a platform (such as Facebook), where they usually engage with others primarily in a non-sexual discourse [61]. Additionally, accountability for session attendance could be attenuated by the lack of face-to-face contact, which may have contributed towards suboptimal session completion rates. However, these challenges are balanced by benefits, including the ability of social media interventions to reach geographically isolated YMSM with scant resources [36, 37, 53], the fact that such interventions attain high acceptability by taking advantage of familiar and popular venues for YMSM, and their cost-effectiveness in supporting the well-being of YMSM [93].
In sum, MiCHAT represents a feasible and acceptable intervention with preliminary efficacy for reducing condomless sex, substance use, and their co-occurrence among YMSM. This study also demonstrates preliminary support for improving HIV risk knowledge and psychosocial factors, such as the impact of stigma. Future randomized controlled trials are warranted to further establish the efficacy of this intervention, as well as test the underlying mechanism of its effect. While technology-based interventions tested and disseminated over the internet are promising, understanding how to better adapt these interventions in clinical practices and community based settings will be critical to their success.
Acknowledgments
The MiCHAT Project was supported by a grant from the National Institute on Drug Abuse (NIDA) (R03-DA031607, Corina Lelutiu-Weinberger, Principal Investigator). The authors acknowledge the contributions of the MiCHAT Project Team—Michael Adams, Alex Brousset, Chris Cruz, Javauni Forrest, Joshua Guthals, Chris Hietikko, Catherine Holder, Ruben Jimenez, Jonathan Lassiter, Drew Mullane, and Matthew Robinson. We also gratefully acknowledge Richard Jenkins for his support of the project.
Contributor Information
Corina Lelutiu-Weinberger, Email: clelutiu@hunter.cuny.edu, Department of Psychology, Hunter AIDS Research Team (HART), Hunter College, City University of New York (CUNY), 695 Park Avenue, HN Room 1209, New York, NY 10065, USA, URL: http://cunyhart.org/.
John E. Pachankis, Email: john.pachankis@yale.edu, Chronic Disease Epidemiology, Social and Behavioral Sciences, Yale School of Public Health, 60 College Street, New Haven, CT 06510, USA.
Kristi E. Gamarel, Email: kgamarel@hunter.cuny.edu, Department of Psychology, Hunter AIDS Research Team (HART), Hunter College, City University of New York (CUNY), 695 Park Avenue, HN Room 1209, New York, NY 10065, USA; Alpert Medical School of Brown University, 167 Point Street, Providence, RI 023093, USA.
Anthony Surace, Email: asurace@hunter.cuny.edu, Department of Psychology, Hunter AIDS Research Team (HART), Hunter College, City University of New York (CUNY), 695 Park Avenue, HN Room 1209, New York, NY 10065, USA.
Sarit A. Golub, Email: sgolub@hunter.cuny.edu, Department of Psychology, Hunter AIDS Research Team (HART), Hunter College, City University of New York (CUNY), 695 Park Avenue, HN Room 1209, New York, NY 10065, USA; Health Psychology and Basic and Applied Social Psychology Doctoral Programs, the Graduate Center, CUNY, 365 Fifth Avenue, New York, NY 10016, USA.
Jeffrey T. Parsons, Email: jeffrey.parsons@hunter.cuny.edu, Department of Psychology, Hunter AIDS Research Team (HART), Hunter College, City University of New York (CUNY), 695 Park Avenue, HN Room 1209, New York, NY 10065, USA; Health Psychology and Basic and Applied Social Psychology Doctoral Programs, the Graduate Center, CUNY, 365 Fifth Avenue, New York, NY 10016, USA; Center for HIV/AIDS Educational Studies and Training (CHEST), 142 West 36th Street, 9th Floor, New York, NY 10018, USA; CUNY School of Public Health at Hunter College, 2180 Third Avenue, New York, NY 10035, USA.
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