RESUMEN
BACKGROUND: Adolescents and young adults are disproportionately affected by HIV, suggesting that HIV prevention methods such as pre-exposure prophylaxis (PrEP) should focus on this group as a priority. As digital natives, youth likely turn to internet resources regarding health topics they may not feel comfortable discussing with their medical providers. To optimize informed decision-making by adolescents and young adults most impacted by HIV, the information from internet searches should be educational, accurate, and readable. OBJECTIVE: The aims of this study were to compare the accuracy of web-based PrEP information found using web search engines and virtual assistants, and to assess the readability of the resulting information. METHODS: Adolescent HIV prevention clinical experts developed a list of 23 prevention-related questions that were posed to search engines (Ask.com, Bing, Google, and Yahoo) and virtual assistants (Amazon Alexa, Microsoft Cortana, Google Assistant, and Apple Siri). The first three results from search engines and virtual assistant web references, as well as virtual assistant verbal responses, were recorded and coded using a six-tier scale to assess the quality of information produced. The results were also entered in a web-based tool determining readability using the Flesch-Kincaid Grade Level scale. RESULTS: Google web search engine and Google Assistant more frequently produced PrEP information of higher quality than the other search engines and virtual assistants with scores ranging from 3.4 to 3.7 and 2.8 to 3.3, respectively. Additionally, the resulting information generally was presented in language at a seventh and 10th grade reading level according to the Flesch-Kincaid Grade Level scale. CONCLUSIONS: Adolescents and young adults are large consumers of technology and may experience discomfort discussing their sexual health with providers. It is important that efforts are made to ensure the information they receive about HIV prevention methods, and PrEP in particular, is comprehensive, comprehensible, and widely available.
RESUMEN
BACKGROUND: The healthcare transition (HCT) from pediatric to adult HIV care can be disruptive to HIV care engagement and viral suppression for youth living with HIV (YLH). METHODS: We performed qualitative interviews with 20 YLH who experienced HCT and with 20 multidisciplinary pediatric and adult HIV clinicians to assess and rank barriers and facilitators to HCT and obtain their perspectives on strategies to improve the HCT process. We used the Exploration Preparation Implementation Sustainment Framework to guide this qualitative inquiry. RESULTS: The most impactful barriers identified by YLH and clinicians focused on issues affecting the patient-clinician relationship, including building trust, and accessibility of clinicians. Both groups reported that having to leave the pediatric team was a significant barrier (ranked #1 for clinicians and #2 for YLH). The most impactful facilitator included having a social worker or case manager to navigate the HCT (listed #1 by clinicians and #2 by YLH); case managers were also identified as the individual most suited to support HCT. While YLH reported difficulty building trust with their new clinician as their #1 barrier, they also ranked the trust they ultimately built with a new clinician as their #1 facilitator. Factors reported to bridge pediatric and adult care included providing a warm handoff, medical record transfer, developing relationships between pediatric clinics and a network of youth-friendly adult clinics, and having the pediatric case manager attend the first adult appointment. Longer new patient visits, increased health communication between YLH and clinicians and sharing vetted clinician profiles with YLH were identified as innovative strategies. CONCLUSION: In this multi-disciplinary contextual inquiry, we have identified several determinants that may be targeted to improve HCT for YLH.
RESUMEN
BACKGROUND: Engaging adolescents and young adults (AYAs) who are at elevated risk for HIV acquisition or who are living with HIV in health care has posed a major challenge in HIV prevention and care efforts. Mobile health (mHealth) interventions are a popular and accessible strategy to support AYA engagement despite barriers to care present along the HIV care continuum. Even with progress in the field of mHealth research, expert recommendations for the process of designing, evaluating, and implementing HIV-related mHealth interventions are underdeveloped. OBJECTIVE: The aim of this study was to compile expert recommendations on the development, evaluation, and implementation of AYA-focused HIV prevention and care mHealth interventions. METHODS: Experts from adolescent mHealth HIV research networks and investigators of recently funded HIV mHealth projects and programs were identified and invited to complete a series of electronic surveys related to the design, implementation, and evaluation of HIV-related mHealth interventions. A modified Delphi method was used to ask experts to score 35 survey items on a 4-point Likert scale from not important to very important and encouraged experts to leave additional comments in textboxes. Responses were reviewed by the researchers, a team of 4 HIV mHealth intervention experts. The average importance ratings from survey responses were calculated and then categorized as retained (high importance), flagged (mid-level importance), or dropped (no/low importance). Additionally, thematic analysis of expert comments helped modify survey items for the next survey round. An evaluation of the level of agreement among experts on the most important items followed each round until consensus was reached. RESULTS: Of the 35 invited experts, 23 completed the first survey representing a variety of roles within a research team. Following two rounds of Delphi surveys, experts scored 24 of the 28 (86%) survey items included in round two as important to very important. The final consensus items included 24 recommendations related to the mHealth intervention design process (n=15), evaluation (n=2), and implementation (n=7). The 3 survey items with the highest average scores focused on the design process, specifically, (1) the creation of a diverse team including researchers, app software developers, and youth representation; (2) the importance of AYA-focused content; and (3) the value of an iterative process. Additionally, experts highlighted the importance of establishing the best ways to collect data and the types of data for collection during the evaluation process as well as constructing a plan for participant technology disruption when implementing an mHealth intervention. CONCLUSIONS: The modified Delphi method was a useful tool to convene experts to determine recommendations for AYA-focused HIV prevention and care mHealth interventions. These recommendations can inform future mHealth interventions. To ensure the acceptability, feasibility, and efficacy of these AYA HIV prevention interventions, the focus must be on the specific needs of AYAs by including representation of AYAs in the process, including consistent and relevant content, ensuring appropriate data is collected, and considering technology and health accessibility barriers.
