Background: US veterans with mental health disorders have high rates of smoking and low rates of smoking cessation.
Objective: This study aims to focus on an adaptation of a web-based acceptance and commitment therapy (ACT) tobacco cessation intervention (Vet WebQuit) for veterans with mental health disorders who use tobacco and used a qualitative approach to test its usability (n=16).
Methods: Participants were asked to walk through the site during laboratory-based usability testing and "think aloud" about the features of the intervention. A trained facilitator used semistructured interview questions to assess participants' experiences with Vet WebQuit and obtain feedback on their impressions of the site. Qualitative analyses identified themes regarding participants' experiences with the intervention, usability concerns, and recommendations for improving Vet WebQuit.
Results: Overall, veterans found that the Vet WebQuit layout was simple and easy to navigate and use. Veterans reported that several features of the program were useful, including the quit plan, identification of triggers, content that targets mental health concerns (eg, dealing with anger), information on the health effects of smoking, tools for managing triggers (eg, urge surfing), and involving others in their quit plan. Veterans reported that particular features of the ACT approach for tobacco cessation were appealing to them, including the distinction between internal and external smoking triggers, the inclusion of the serenity prayer, and mindfulness exercises, which they could use as a tool reduce the intensity of cravings. Veterans reported wanting more information on the health aspects of smoking (ie, effects on breathing and lung capacity) as a way to motivate them to quit smoking. In addition, they suggested targeting specific mental health concerns that serve as triggers for smoking, including nightmares, boredom, and social isolation.
Conclusions: Overall, results from this project identified important elements of ACT digital tobacco cessation interventions for veterans with mental health disorders.
Background: Across populations, risky drinking has been demonstrated to increase HIV risk behaviors. This is of special concern for sexually minoritized cisgender men and gender-diverse young adults (aged 18-34 years), who report greater incidence of hazardous drinking (as defined by the Alcohol Use Disorders Identification Test - Consumption criteria) and HIV compared to their heterosexual and/or cisgender peers.
Objective: This study aimed to examine alcohol perceptions, patterns of use, and the role that anti-LGBTQ+ (lesbian, gay, bisexual, transgender, queer) policies and discrimination played in alcohol risk behaviors for sexually minoritized cisgender men and gender-diverse individuals. Results were used to inform the development of an alcohol reduction intervention for this population.
Methods: A qualitative study was conducted with data collected via 4 focus groups among young adult sexually minoritized cisgender men and gender-diverse individuals in the United States from April to June 2023 (N=21). Participants were grouped according to identity as cisgender men, transgender men, transgender women, and nonbinary individuals. Transcripts were analyzed using codebook thematic analysis.
Results: Alcohol use was described as a way to navigate belonging, social connection, and identity expression within LGBTQ+ contexts. Alcohol was viewed as a mainstay of LGBTQ+ spaces, with many using it as a social lubricant and coping mechanism for LGBTQ+-related stress, as well as for relaxation and having fun. Drinking intensity was often tied to an individual's comfort with their evolving sexually minoritized cisgender men and gender-diverse identity, with drinking being higher in earlier stages of exploration. The consequences of drinking discussed by participants included impaired decision-making and negative effects on mental and physical health. Anti-LGBTQ+ laws and policies were seen as contributing to the further stigmatization of sexually minoritized cisgender men and gender-diverse individuals, and hazardous use of alcohol was used as a means of escape and coping.
Conclusions: Alcohol use among sexually minoritized cisgender men and gender-diverse individuals is an important aspect of negotiating identity within different social settings and coping with stigma. Findings have valuable implications for tailoring alcohol reduction interventions for sexually minoritized cisgender men and gender-diverse young adults as they encounter stressors in real time.
Background: Black women experience dual disparities with disproportionately high rates of HIV infection and low uptake of preexposure prophylaxis (PrEP). To address this issue, a culturally relevant eHealth video intervention was developed to increase awareness and uptake of PrEP.
Objective: This study aims to evaluate the usability, acceptability, and impact of a culturally tailored eHealth video intervention ("Put Yourself First") on PrEP-related knowledge and motivation among young Black women.
Methods: This study used a sequential, mixed methods design. Thirteen young, primarily heterosexual, Black women, aged 18-25 years, were recruited from community-based organizations and social networks in New York City to participate in 2 evaluation focus groups. Participants completed pre- and postvideo assessments, followed by facilitated focus group discussions to elicit qualitative feedback on the video's usability, acceptability, and impact on PrEP knowledge.
Results: After watching the eHealth video, knowledge scores increased significantly postviewing (P=.04). Most participants indicated willingness to consider PrEP (10/13, 77%), and all reported intentions to recommend it to others (13/13, 100%). Overall, 92% (12/13) of the participants rated the video as very good or excellent. Participants found the video to be very interesting (11/13, 85%) and useful (12/13, 92%). The qualitative findings suggest that representation, authenticity, and the normalization of PrEP use emerged as critical drivers of acceptability. It also highlighted the video's relatability, cultural relevance, and ability to dispel misconceptions, while also identifying areas for refinement for future studies.
Conclusions: Findings support the acceptability and usability of culturally tailored sex-positive eHealth interventions for improving PrEP awareness and motivation among young Black women. Culturally resonant multimedia centering the voices of young Black women to affirming pleasure, agency, and addressing structural barriers to engagement offers a promising strategy for HIV prevention.
Background: The purpose of preoperative informed consent is to provide patients with comprehensive information about their treatment, including risks and alternatives, to enable informed decision-making. However, studies have shown that patients are often unable to understand or remember important information. Mobile health (mHealth) and augmented reality (AR) apps have been identified as promising solutions to improve patient education and knowledge retention.
Objective: This study aims to identify the essential requirements for an mHealth app to support informed decision-making for patients with colorectal cancer, with a specific focus on the potential of AR for visualization. This research explores the patient and physician perspectives on these requirements, particularly regarding information delivery and visualization to guide app design.
Methods: A qualitative focus group study was conducted with groups of mostly patients with colorectal cancer and a physician's group. Topics related to patient education were discussed, guided by a semistructured interview guide covering personal experience; information content; context of use; and acceptance and presentation of content, which included presenting various visualizations in 2D, 3D, and AR. The interviews were transcribed and analyzed using qualitative content analysis.
Results: We conducted 4 focus groups with patients (n=23) and 1 focus group with physicians (n=7), for a total of 30 participants. Relevant informational content for the app and its presentation was identified. Patients consistently expressed a desire for personalized, detailed, and visual information about their condition and treatment tailored to their specific case throughout the treatment journey, so they could prepare for the informed consent discussion after diagnosis, prepare for treatment, access guidance and track progress during hospitalization, and access information and resources during recovery after treatment. Patients demonstrated a strong preference for interactive 3D visualizations, while physicians favored simpler 2D images that could be easily integrated into their existing workflow. AR visualizations were seen as a potential tool to provide a general overview of anatomy and surgical approaches but more as a novelty feature and a supplement to more traditional visualizations.
Conclusions: An ideal patient education app combines comprehensive content with interactive, customizable visualizations like 3D models and AR and should be accessible throughout a patient's treatment journey. This study highlights the need for a patient-centered design that balances detailed information with ease of understanding and considering different preferences for visualization modalities and levels of detail.
Background: Accurate patient record linkage is essential for clinical care, health information exchange, research, and public health surveillance. However, linkage accuracy may vary across demographic groups due to differences in data completeness, quality, and the structural factors underlying how demographic information is captured.
Objective: This study aimed to explore whether probabilistic patient matching accuracy varies by age, sex, race, and ethnicity and to identify potential sources of bias that may influence matching performance.
Methods: We used 4 Indiana data sources-the Indiana Network for Patient Care, Newborn Screening, Social Security Administration Death Master File, and Marion County Public Health Department-and applied a modified Fellegi-Sunter probabilistic linkage algorithm accommodating missing data under a missing at random assumption. Gold standard match status was established through dual manual review with adjudication. For each dataset, matching sensitivity, positive predictive value, and F1-scores were estimated and stratified by age, sex, race, and ethnicity. Data completeness, distinct value ratio, and Shannon entropy were assessed to characterize data quality. Ninety-five percent bootstrap CIs were used to assess significance.
Results: The algorithm-matching F1-score was greater than 0.82 for all age strata, ranging from 0.88 to 0.97 for sex, 0.85 to 0.99 for race, and 0.88 to 0.99 for ethnicity. Sensitivity ranged from 0.70 to 0.97 across age strata, 0.76 to 0.97 across sex, 0.85 to 0.99 across race, and 0.85 to 0.989 across ethnicity. Lower sensitivity and F1-scores were consistently observed in strata with greater missingness or discordance, particularly in Newborn Screening and Social Security Administration Death Master File. Race and ethnicity exhibited the highest missingness and lowest informational diversity, coinciding with the largest declines in accuracy. Shannon entropy and distinct value ratio varied across demographic groups and were strongly associated with performance, indicating that both low and excessively high informational diversity can impair matching.
Conclusions: Probabilistic patient matching accuracy is not uniform across demographics and is strongly influenced by data quality and completeness. Although overall matching performance, as assessed by the F1-score, remained above 0.8, it varied across datasets when stratified by sociodemographic characteristics. Sociodemographic data missingness is associated with lower matching accuracy, raising equity and ethical concerns for clinical, research, and public health applications. Routine demographic-stratified evaluations of matching accuracy, improved standardization of sociodemographic data, and fairness-aware linkage methods are essential to prevent the amplification of structural inequities in linked health datasets.

