scholarly journals Digital HIV Care Navigation for Young People Living With HIV in San Francisco, California: Feasibility and Acceptability Study

10.2196/16838 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e16838 ◽  
Author(s):  
Dillon Trujillo ◽  
Caitlin Turner ◽  
Victory Le ◽  
Erin C Wilson ◽  
Sean Arayasirikul

Background HIV continues to be a public health challenge adversely affecting youth and young adults, as they are the fastest-growing group of new HIV infections in the United States and the group with the poorest health outcomes among those living with HIV. HIV prevention science has turned to mobile health as a novel approach to reach and engage young people living with HIV (YPLWH) experiencing barriers to HIV care. Objective This study aimed to assess the feasibility and acceptability of a text message–based HIV care navigation intervention for YPLWH in San Francisco. Health eNavigation is a 6-month text message–based HIV care navigation where YPLWH are connected to their own HIV care navigator through text messaging to improve engagement in HIV primary care. Digital HIV care navigation included delivery of the following through SMS text messaging: (1) HIV care navigation, (2) health promotion and education, (3) motivational interviewing, and (4) social support. Methods We evaluated the feasibility and acceptability of a text message–based HIV care navigation intervention among YPLWH. We assessed feasibility using quantitative data for the overall sample (N=120) to describe participant text messaging activity during the intervention. Acceptability was assessed through semistructured, in-depth interviews with a subsample of 16 participants 12 months after enrollment. Interviews were audio-recorded, transcribed, and analyzed using grounded theory. Results Overall, the text message–based HIV care navigation intervention was feasible and acceptable. The majority of participants exhibited medium or high levels of engagement (50/120 [41.7%] and 26/120 [21.7%], respectively). Of the majority of participants who were newly diagnosed with HIV, 63% (24/38) had medium to high engagement. Similarly, among those who were not newly diagnosed, 63% (52/82) had medium to high engagement. The majority of participants found that the intervention added value to their lives and improved their engagement in HIV care, medication adherence, and viral suppression. Conclusions Text message–based HIV care navigation is a potentially powerful tool that may help bridge the gaps for linkage and retention and improve overall engagement in HIV care for many YPLWH. Our results indicate that participation in text message–based HIV care navigation is both feasible and acceptable across pervasive structural barriers that would otherwise hinder intervention engagement.

Author(s):  
Dillon Trujillo ◽  
Caitlin Turner ◽  
Victory Le ◽  
Erin C Wilson ◽  
Sean Arayasirikul

BACKGROUND HIV continues to be a public health challenge adversely affecting youth and young adults, as they are the fastest-growing group of new HIV infections in the United States and the group with the poorest health outcomes among those living with HIV. HIV prevention science has turned to mobile health as a novel approach to reach and engage young people living with HIV (YPLWH) experiencing barriers to HIV care. OBJECTIVE This study aimed to assess the feasibility and acceptability of a text message–based HIV care navigation intervention for YPLWH in San Francisco. Health eNavigation is a 6-month text message–based HIV care navigation where YPLWH are connected to their own HIV care navigator through text messaging to improve engagement in HIV primary care. Digital HIV care navigation included delivery of the following through SMS text messaging: (1) HIV care navigation, (2) health promotion and education, (3) motivational interviewing, and (4) social support. METHODS We evaluated the feasibility and acceptability of a text message–based HIV care navigation intervention among YPLWH. We assessed feasibility using quantitative data for the overall sample (N=120) to describe participant text messaging activity during the intervention. Acceptability was assessed through semistructured, in-depth interviews with a subsample of 16 participants 12 months after enrollment. Interviews were audio-recorded, transcribed, and analyzed using grounded theory. RESULTS Overall, the text message–based HIV care navigation intervention was feasible and acceptable. The majority of participants exhibited medium or high levels of engagement (50/120 [41.7%] and 26/120 [21.7%], respectively). Of the majority of participants who were newly diagnosed with HIV, 63% (24/38) had medium to high engagement. Similarly, among those who were not newly diagnosed, 63% (52/82) had medium to high engagement. The majority of participants found that the intervention added value to their lives and improved their engagement in HIV care, medication adherence, and viral suppression. CONCLUSIONS Text message–based HIV care navigation is a potentially powerful tool that may help bridge the gaps for linkage and retention and improve overall engagement in HIV care for many YPLWH. Our results indicate that participation in text message–based HIV care navigation is both feasible and acceptable across pervasive structural barriers that would otherwise hinder intervention engagement.


2020 ◽  
Author(s):  
Sean Arayasirikul ◽  
Caitlin Turner ◽  
Dillon Trujillo ◽  
Victory Le ◽  
Erin C Wilson

BACKGROUND Young people are disproportionately impacted by HIV infection and exhibit poor HIV care continuum outcomes. Mobile health (mHealth) interventions are promising approaches to meet the unique needs of young people living with HIV. Youth-focused interventions are needed to improve HIV care continuum outcomes. OBJECTIVE This study assessed the preliminary efficacy and impact of a digital HIV care navigation intervention among young people living with HIV in San Francisco. Health electronic navigation (eNavigation or eNav) is a 6-month, text message–based, digital HIV care navigation intervention, in which young people living with HIV are connected to their own HIV care navigator through text messaging to improve engagement in HIV primary care. METHODS This study had a single-arm, prospective, pre-post design. The analysis included 120 young men who have sex with men or transwomen living with HIV aged between 18 and 34 years. We analyzed self-reported sociobehavioral information pre- and postintervention at baseline and 6 months, which was collected using computer-assisted self-interviewing surveys. We characterized the sample and built generalized estimating equation (GEE) models to assess differences in HIV care continuum outcomes at baseline and 6 months. RESULTS The characteristics according to the intervention completion status were not different from those of the overall sample. The mean age of the participants was 27.75 years (SD 4.07). Most participants (103/120, 85.8%) identified as men, and the sample was racially/ethnically diverse. At baseline, majority (99/120, 82.5%) of the participants had recently received primary HIV care, yet this was more likely in those who completed the intervention than in those who did not (54/60, 90% vs 45/60, 75%; χ<sup>2</sup><sub>1</sub>=4.68, <i>P</i>=.03). More than half of the sample reported taking antiretroviral therapy (92/120, 76.7%) and having an undetectable viral load (65/120, 54.2%). The 6-month follow-up surveys were completed by 73.3% (88/120) of participants, and these participants were not characteristically different from the overall sample at baseline. GEE models indicated that participants had increased odds of viral suppression at 6 months as compared with baseline. No relevant additive or multiplicative interactions were noted on comparing outcome effects over time according to intervention completion. CONCLUSIONS Digital HIV care navigation fills a critical gap in public health and HIV care systems, making these systems more responsive and accountable to the needs of the most vulnerable individuals. Our intervention bridges the time between primary care visits with interactive, tailored, personalized, and peer-delivered social support; information; and motivational interviewing to scaffold behavioral change. This study is part of the next wave of system-informed mHealth intervention research that will offer potentially disruptive solutions to traditional in-person delivered interventions and improve the health of the most vulnerable individuals. INTERNATIONAL REGISTERED REPORT RR2-10.2196/16406


10.2196/18597 ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. e18597
Author(s):  
Sean Arayasirikul ◽  
Caitlin Turner ◽  
Dillon Trujillo ◽  
Victory Le ◽  
Erin C Wilson

Background Young people are disproportionately impacted by HIV infection and exhibit poor HIV care continuum outcomes. Mobile health (mHealth) interventions are promising approaches to meet the unique needs of young people living with HIV. Youth-focused interventions are needed to improve HIV care continuum outcomes. Objective This study assessed the preliminary efficacy and impact of a digital HIV care navigation intervention among young people living with HIV in San Francisco. Health electronic navigation (eNavigation or eNav) is a 6-month, text message–based, digital HIV care navigation intervention, in which young people living with HIV are connected to their own HIV care navigator through text messaging to improve engagement in HIV primary care. Methods This study had a single-arm, prospective, pre-post design. The analysis included 120 young men who have sex with men or transwomen living with HIV aged between 18 and 34 years. We analyzed self-reported sociobehavioral information pre- and postintervention at baseline and 6 months, which was collected using computer-assisted self-interviewing surveys. We characterized the sample and built generalized estimating equation (GEE) models to assess differences in HIV care continuum outcomes at baseline and 6 months. Results The characteristics according to the intervention completion status were not different from those of the overall sample. The mean age of the participants was 27.75 years (SD 4.07). Most participants (103/120, 85.8%) identified as men, and the sample was racially/ethnically diverse. At baseline, majority (99/120, 82.5%) of the participants had recently received primary HIV care, yet this was more likely in those who completed the intervention than in those who did not (54/60, 90% vs 45/60, 75%; χ21=4.68, P=.03). More than half of the sample reported taking antiretroviral therapy (92/120, 76.7%) and having an undetectable viral load (65/120, 54.2%). The 6-month follow-up surveys were completed by 73.3% (88/120) of participants, and these participants were not characteristically different from the overall sample at baseline. GEE models indicated that participants had increased odds of viral suppression at 6 months as compared with baseline. No relevant additive or multiplicative interactions were noted on comparing outcome effects over time according to intervention completion. Conclusions Digital HIV care navigation fills a critical gap in public health and HIV care systems, making these systems more responsive and accountable to the needs of the most vulnerable individuals. Our intervention bridges the time between primary care visits with interactive, tailored, personalized, and peer-delivered social support; information; and motivational interviewing to scaffold behavioral change. This study is part of the next wave of system-informed mHealth intervention research that will offer potentially disruptive solutions to traditional in-person delivered interventions and improve the health of the most vulnerable individuals. International Registered Report Identifier (IRRID) RR2-10.2196/16406


10.2196/14649 ◽  
2020 ◽  
Vol 4 (6) ◽  
pp. e14649
Author(s):  
Kennedy Michael Ngowi ◽  
Furaha Lyamuya ◽  
Blandina T Mmbaga ◽  
Eva Muro ◽  
Zawadiel Hillu ◽  
...  

Background Mobile communication has been found to improve antiretroviral therapy (ART) adherence among people living with HIV. In an ongoing randomized clinical trial, 2 mobile communication strategies (ie, sending SMS text messages and real-time medication monitoring [RTMM]) were used to improve adherence to ART among people living with HIV in Tanzania. We noticed remarkable discrepancies between self-reported adherence and adherence recorded by SMS text messaging or RTMM among some of the first trial participants. Objective Our objective was to describe these cases and the observed discrepancies in more detail, to serve as a useful illustration of some of the challenges in using mobile health in resource-limited settings. Methods In an ongoing randomized trial, adults living with HIV from two HIV treatment centers in Tanzania who were suspected of low levels of adherence were randomly assigned in a 1:1:1 ratio to receive (1) SMS text message reminders, (2) an RTMM device, or (3) no additional intervention to standard HIV care. During bimonthly study visits, the participants self-reported their level of adherence, received feedback about their level of adherence based on SMS text messaging or RTMM, and discussed strategies to overcome adherence problems with nurses providing HIV care. For the purpose of this report, we selected people living with HIV who had completed 5 follow-up visits and consistently reported more than 95% adherence, while SMS text messaging or RTMM recorded lower than 75% adherence. The participants were invited for a short, face-to-face in-depth interview to explore reasons for this discrepancy. Results At the time of this analysis, 26 participants had completed follow-up. Six of these evidenced the above-mentioned discrepancies, with an average adherence of 46% based on SMS text messaging or RTMM, while self-reported adherence was 98%. Five of these 6 participants insisted that their adherence to ART was good, with 4 reporting that their adherence to properly using the monitoring device was low. Three participants mentioned concerns about involuntary disclosure of HIV status as a main reason for low adherence to using the device. Two participants were still depending on other reminder cues despite receiving SMS text message or RTMM reminders. Poor network coverage caused low adherence in 1 participant. Conclusions Psychosocial barriers were reported as importantly contributing to low adherence, both with respect to use of ART and proper use of the adherence-monitoring device. This case series illustrates that when introducing new digital adherence monitoring technology, researchers should consider psychosocial barriers and distinguish between adherence to device use and adherence to treatment. Trial Registration Pan African Clinical Trials Registry PACTR201712002844286; https://tinyurl.com/y98q4p3l


2019 ◽  
Author(s):  
Kennedy Michael Ngowi ◽  
Furaha Lyamuya ◽  
Blandina T Mmbaga ◽  
Eva Muro ◽  
Zawadiel Hillu ◽  
...  

BACKGROUND Mobile communication has been found to improve antiretroviral therapy (ART) adherence among people living with HIV. In an ongoing randomized clinical trial, 2 mobile communication strategies (ie, sending SMS text messages and real-time medication monitoring [RTMM]) were used to improve adherence to ART among people living with HIV in Tanzania. We noticed remarkable discrepancies between self-reported adherence and adherence recorded by SMS text messaging or RTMM among some of the first trial participants. OBJECTIVE Our objective was to describe these cases and the observed discrepancies in more detail, to serve as a useful illustration of some of the challenges in using mobile health in resource-limited settings. METHODS In an ongoing randomized trial, adults living with HIV from two HIV treatment centers in Tanzania who were suspected of low levels of adherence were randomly assigned in a 1:1:1 ratio to receive (1) SMS text message reminders, (2) an RTMM device, or (3) no additional intervention to standard HIV care. During bimonthly study visits, the participants self-reported their level of adherence, received feedback about their level of adherence based on SMS text messaging or RTMM, and discussed strategies to overcome adherence problems with nurses providing HIV care. For the purpose of this report, we selected people living with HIV who had completed 5 follow-up visits and consistently reported more than 95% adherence, while SMS text messaging or RTMM recorded lower than 75% adherence. The participants were invited for a short, face-to-face in-depth interview to explore reasons for this discrepancy. RESULTS At the time of this analysis, 26 participants had completed follow-up. Six of these evidenced the above-mentioned discrepancies, with an average adherence of 46% based on SMS text messaging or RTMM, while self-reported adherence was 98%. Five of these 6 participants insisted that their adherence to ART was good, with 4 reporting that their adherence to properly using the monitoring device was low. Three participants mentioned concerns about involuntary disclosure of HIV status as a main reason for low adherence to using the device. Two participants were still depending on other reminder cues despite receiving SMS text message or RTMM reminders. Poor network coverage caused low adherence in 1 participant. CONCLUSIONS Psychosocial barriers were reported as importantly contributing to low adherence, both with respect to use of ART and proper use of the adherence-monitoring device. This case series illustrates that when introducing new digital adherence monitoring technology, researchers should consider psychosocial barriers and distinguish between adherence to device use and adherence to treatment. CLINICALTRIAL Pan African Clinical Trials Registry PACTR201712002844286; https://tinyurl.com/y98q4p3l


2021 ◽  
Author(s):  
Sean Arayasirikul ◽  
Caitlin M Turner ◽  
Dillon Trujillo ◽  
Jarett Maycott ◽  
Erin C Wilson

BACKGROUND The HIV epidemic has revealed considerable disparities in health among sexual and gender minorities of color within the Unites States, disproportionately affecting men who have sex with men (MSM) and trans women. Social inequities further disadvantage those with intersectional identities through homophobia, anti-trans discrimination, and racism, shaping not only those at-risk for HIV infection, but also HIV prevention and care outcomes. Digital interventions have great potential to address barriers and improve HIV care among MSM and trans women; however, efficacy of digital HIV care interventions vary and need further examination. OBJECTIVE This study assessed 12-month efficacy of a 6-month digital HIV care navigation intervention among young people living with HIV (YPLWH) in San Francisco We examined dose-response relationships between intervention exposure (e.g. text messaging) and viral suppression and mental health. Health electronic navigation (eNavigation or eNav) is a 6-month, text message-based, digital HIV care navigation intervention, in which YPLWH are connected to their own HIV care navigator through text messaging to improve engagement in HIV primary care. METHODS This study had a single-arm, prospective, pre-post design. Eligibility criteria for the study included: identifying as a man who has sex with men or a trans woman; being between the ages of 18 and 34 years; and being newly diagnosed with HIV or not being engaged/retained in HIV care or having a detectable viral load. We assessed and analyzed sociodemographic, intervention exposure, and HIV care and mental health outcome data for participants who completed the 6-month Health eNav intervention. We assessed all outcomes using generalized estimating equations (GEE) to account for within-subjects correlation, and marginal effects of texting engagement on all outcomes were calculated over the entire 12-month study period. Finally, we specified an interaction between texting engagement and time to evaluate the effects of texting engagement on outcomes. RESULTS Over the entire 12-month study period showed that every one-text increase in engagement was associated with an increased odds of undetectable viral load (adjusted odds ratio, aOR = 1.01, 95% CI = 1.00 – 1.02, p = 0.03). We found that mean negative mental health experiences decreased significantly at 12 months compared to baseline for every one-text increase in engagement (coefficient on interaction term: 0.97, 95%CI = 0.96-0.99, p < 0.01). CONCLUSIONS Digital care navigation interventions like Health eNavigation may be a critical component in the health delivery service system as the digital safety net for those whose social vulnerability is exacerbated in times of crisis, disasters, or global pandemics due to multiple social inequities. We found that increased engagement in a digital HIV care navigation intervention helped to improve viral suppression and mental health – intersecting, co-morbid conditions – 6-months after the intervention concluded. Digital care navigation may be a promising, effective, sustainable, and scalable intervention. INTERNATIONAL REGISTERED REPORT RR2-10.2196/16406


2020 ◽  
Vol 21 (5) ◽  
pp. 738-743
Author(s):  
Sean Arayasirikul ◽  
Caitlin Turner ◽  
Dillon Trujillo ◽  
Victory Le ◽  
Theo Beltran ◽  
...  

Motivational interviewing (MI) is a counseling approach to facilitate behavior change. MI has been widely applied to in-person–delivered, health behavior change interventions; however, mobile health (mHealth) interventions are beginning to adopt and expand the reach of MI in health promotion practice with the use of mobile phones and digital platforms. This study examines whether the use of MI skills (e.g., OARS [open-ended questions, affirmations, reflective listening, and summaries]) promotes change talk in an SMS text messaging intervention for young people living with HIV in San Francisco. We undertake a novel method of analyzing text message intervention data in order to characterize the microprocesses of change talk. Data were collected via computer-assisted self-interviewing surveys of self-reported sociodemographic information, and two-way text messages facilitated by a digital HIV care navigator during the 6-month intervention. We qualitatively assessed all text messages exchanged for the utilization of four basic MI skills on the part of the interventionist (OARS) and participant change talk. This study found that high levels of all four MI skills—and moderate levels of open-ended questions only—were associated with more change talk compared to low levels. Additionally, using three or more MI skills was associated with change talk. Future research is needed to inform how to analyze large amounts of data passively collected as a native part of implementing mHealth and text messaging applications of MI interventions.


Author(s):  
Dharma N. Bhatta ◽  
Jennifer Hecht ◽  
Shelley N. Facente

Background: Stigma and discrimination are major challenges faced by people living with HIV (PLWH), and stigma continues to be prevalent among PLWH. We conducted a cross-sectional study of 584 men who have sex with men (MSM) living with HIV between July 2018 and December 2020, designed to better understand which demographic and behavioral characteristics of MSM living with HIV in San Francisco, California are associated with experience of stigma, so that programs and initiatives can be tailored appropriately to minimize HIV stigma’s impacts. Methods: This analysis was conducted with data from San Francisco AIDS Foundation (SFAF) encompassing services from multiple different locations in San Francisco. Data about the level of HIV-related stigma experienced were collected through a single question incorporated into programmatic data collection forms at SFAF as part of the client record stored in SFAF’s electronic health record. We performed linear regression to determine the associations between self-reported experiences of HIV stigma and other characteristics among MSM living with HIV. Results: HIV stigma was low overall among MSM living with HIV who are actively engaged in HIV care in San Francisco; however, it was significantly higher for the age groups of 13–29 years (adjusted risk difference (ARD): 0.251, 95% CI: 0.012, 0.489) and 30–49 years (ARD: 0.205, 95% CI: 0.042, 0.367) when compared to the age group of 50 years and older, as well as people who were homeless (ARD: 0.844, 95% CI: 0.120, 1.568), unstably housed (ARD: 0.326, 95% CI: 0.109, 0.543) and/or having mental health concerns (ARD: 0.309, 95% CI: 0.075, 0.544), controlling for race, injection history, and viral load. Conclusions: These findings highlight an opportunity to develop culturally, socially, and racially appropriate interventions to reduce HIV stigma among MSM living with HIV, particularly for younger men and those struggling with housing stability and/or mental health.


2018 ◽  
Author(s):  
Cathy J. Reback ◽  
Jesse B. Fletcher ◽  
Anne E. Fehrenbacher ◽  
Kimberly Kisler

BACKGROUND Many transgender women in the U.S. experience numerous cofactors for HIV acquisition and transmission, including increased rates of homelessness, alcohol and drug use, high rates of sex work, as well as non-prescribed hormone injections and/or medically unsupervised soft-tissue filler injections, HIV risk factors specific to this population. In addition, trans women face discrimination and social/economic marginalization more intense and deleterious than that experienced by lesbian, gay, or bisexual individuals, further worsening health outcomes. Although little research has been done specifically on young trans women under the age of 35 years old, existing evidence suggests even further elevated rates of homelessness, substance use, and engagement in HIV transmission risk behaviors relative to their older trans women and non-trans young adult counterparts. Young trans women living with HIV experience a range of barriers that challenge their ability to be successfully linked and retained in HIV care. OBJECTIVE Text Me, Girl! was a randomized controlled trial to assess the impact of a 90-day, theory-based, transgender-specific, text-messaging intervention designed to improve HIV-related health outcomes along the HIV Care Continuum among young (18 to 34 years) transgender women (N=130) living with HIV/AIDS. METHODS Participants were randomized into either Group A) Immediate Text Message Intervention Delivery (ID: n=61); or, Group B) Delayed Text Message Intervention Delivery (DD: n=69) whereby participants were delivered the text-messaging intervention after a 90-day delay period. Over the course of the 90-day intervention, participants received 270 theory-based text messages that were targeted, tailored, and personalized specifically for young transgender women living with HIV. Participants received three messages per day in real-time within a 10-hour gradual and automated delivery system. The text-message content was scripted along the HIV Care Continuum and based on Social Support Theory, Social Cognitive Theory, and Health Belief Model. The desired outcome of Text Me, Girl! was virological suppression. RESULTS Recruitment began on November 18, 2016 and the first participant was enrolled on December 16, 2016; enrollment closed on May 31, 2018. Intervention delivery ended on November 30, 2018, and follow-up evaluations concluded on August 31, 2019. Primary outcome analyses began immediately following the conclusion of the follow-up evaluations. CONCLUSIONS Text messaging is the ideal communication platform for engaging young trans women in HIV care because it is easily accessible, private, portable, and inexpensive. Text Me, Girl! aimed to improve HIV Care Continuum outcomes among young trans women by providing culturally responsive text messages to promote linkage, retention, and adherence with the ultimate goal of achieving viral suppression. The Text Me, Girl! text message library is readily scalable and can be adapted for other hard-to-reach populations.


mHealth ◽  
2019 ◽  
Vol 5 ◽  
pp. 45-45 ◽  
Author(s):  
Natalie St Clair-Sullivan ◽  
Chanda Mwamba ◽  
Jennifer Whetham ◽  
Carolyn Bolton Moore ◽  
Mary Darking ◽  
...  

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