Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors.

BACKGROUND: Expressive writing and motivational interviewing are well-known approaches to help patients cope with stressful life events. Although these methods are often applied by human counselors, it is less well understood if an automated artificial intelligence approach can benefit patients. Providing an automated method would help expose a wider range of people to the possible benefits of motivational interviewing, with lower cost and more adaptability to sudden events like the COVID-19 pandemic. OBJECTIVE: This study presents an automated writing system and evaluates possible outcomes among participants with respect to behavior related to the COVID-19 pandemic. METHODS: We developed a rule-based dialogue system for "Expressive Interviewing" to elicit writing from participants on the subject of how COVID-19 has impacted their lives. The system prompts participants to describe their life experiences and emotions and provides topic-specific prompts in response to participants' use of topical keywords. In May 2021 and June 2021, we recruited participants (N=151) via Prolific to complete either the Expressive Interviewing task or a control task. We surveyed participants immediately before the intervention, immediately after the intervention, and again 2 weeks after the intervention. We measured participants' self-reported stress, general mental health, COVID-19-related health behavior, and social behavior. RESULTS: Participants generally wrote long responses during the task (53.3 words per response). In aggregate, task participants experienced a significant decrease in stress in the short term (~23% decrease, P<.001) and a slight difference in social activity compared with the control group (P=.03). No significant differences in short-term or long-term outcomes were detected between participant subgroups (eg, male versus female participants) except for some within-condition differences by ethnicity (eg, higher social activity among African American people participating in Expressive Interviewing vs participants of other ethnicities). For short-term effects, participants showed different outcomes based on their writing. Using more anxiety-related words was correlated with a greater short-term decrease in stress (r=-0.264, P<.001), and using more positive emotion words was correlated with a more meaningful experience (r=0.243, P=.001). As for long-term effects, writing with more lexical diversity was correlated with an increase in social activity (r=0.266, P<.001). CONCLUSIONS: Expressive Interviewing participants exhibited short-term, but not long-term, positive changes in mental health, and some linguistic metrics of writing style were correlated with positive change in behavior. Although there were no significant long-term effects observed, the positive short-term effects suggest that the Expressive Interviewing intervention could be used in cases in which a patient lacks access to traditional therapy and needs a short-term solution. TRIAL REGISTRATION: Clincaltrials.gov NCT05949840; https://www.clinicaltrials.gov/study/NCT05949840.

Emotional and cognitive changes surrounding online depression identity claims.

As social media has proliferated, a key aspect to making meaningful connections with people online has been revealing important parts of one's identity. In this work, we study changes that occur in people's language use after they share a specific piece of their identity: a depression diagnosis. To do so, we collect data from over five thousand users who have made such a statement, which we refer to as an identity claim. Prior to making a depression identity claim, the Reddit user's language displays evidence of increasingly higher rates of anxiety, sadness, and cognitive processing language compared to matched controls. After the identity claim, these language markers decrease and more closely match the controls. Similarly, first person singular pronoun usage decreases following the identity claim, which was previously previously found to be indicative of self-focus and associated with depression. By further considering how and to whom people express their identity, we find that the observed longitudinal changes are larger for those who do so in ways that are more correlated with seeking help (sharing in a post instead of a comment; sharing in a mental health support forum). This work suggests that there may be benefits to sharing one's depression diagnosis, especially in a semi-anonymous forum where others are likely to be empathetic.

Instagram and prostate cancer: using validated instruments to assess the quality of information on social media.

BACKGROUND: The quality of prostate cancer (PCa) content on Instagram is unknown. METHODS: We examined 62 still-images and 64 video Instagram posts using #prostatecancer on 5/18/20. Results were assessed with validated tools. RESULTS: Most content focused on raising awareness or sharing patient stories (46%); only 9% was created by physicians. 90% of content was low-to-moderate quality and most was understandable, but actionability was 0%. Of the 30% of content including objective information, 40% contained significant misinformation. Most posts had comments offering social support. CONCLUSIONS: Instagram is a source of understandable PCa content and social support; however, information was poorly actionable and had some misinformation.

Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study.

BACKGROUND: Vaccination against COVID-19 is an important public health strategy to address the ongoing pandemic. Examination of online search behavior related to COVID-19 vaccines can provide insights into the public's awareness, concerns, and interest regarding COVID-19 vaccination. OBJECTIVE: The aim of this study is to describe online search behavior related to COVID-19 vaccines during the start of public vaccination efforts in the United States. METHODS: We examined Google Trends data from January 1, 2021, through March 16, 2021, to determine the relative search volume for vaccine-related searches on the internet. We also examined search query log data for COVID-19 vaccine-related searches and identified 5 categories of searches: (1) general or other information, (2) vaccine availability, (3) vaccine manufacturer, (4) vaccine side-effects and safety, and (5) vaccine myths and conspiracy beliefs. In this paper, we report on the proportion and trends for these different categories of vaccine-related searches. RESULTS: In the first quarter of 2021, the proportion of all web-based search queries related to COVID-19 vaccines increased from approximately 10% to nearly 50% of all COVID-19-related queries (P<.001). A majority of COVID-19 vaccine queries addressed vaccine availability, and there was a particularly notable increase in the proportion of queries that included the name of a specific pharmacy (from 6% to 27%; P=.01). Queries related to vaccine safety and side-effects (<5% of total queries) or specific vaccine-related myths (<1% of total queries) were uncommon, and the relative frequency of both types of searches decreased during the study period. CONCLUSIONS: This study demonstrates an increase in online search behavior related to COVID-19 vaccination in early 2021 along with an increase in the proportion of searches related to vaccine availability at pharmacies. These findings are consistent with an increase in public interest and intention to get vaccinated during the initial phase of public COVID-19 vaccination efforts.

Leveraging Social Media as a Thermometer to Gauge Patient and Caregiver Concerns: COVID-19 and Prostate Cancer.

The COVID-19 pandemic dramatically impacted society and health care on a global scale. To capture the lived experience of patients with prostate cancer and family members/caregivers during the COVID-19 pandemic, we performed a mixed-methods study of posts to two online networks. We compared all 6187 posts to the Inspire Us TOO Prostate Cancer online support and discussion community from December 2019 to April 2020, to 6926 posts from the same interval in 2019, applying a linguistic ethnography method. A similar analysis was performed using data from the Reddit discussion website (246 posts from 2019 and 260 posts from 2020). Manual qualitative analysis was performed for all 207 posts that mentioned COVID, COVID-19, or coronavirus. The computational linguistic ethnography analysis revealed a more collective tone in 2020, with increased concern about death. Our qualitative analysis showed that patients with prostate cancer and caregivers have concern about a variety of COVID-19-related impacts on care, including delays in testing and treatment. There was also substantial concern about the impact of having cancer on COVID-19 risk and access to COVID-19 care. Misinformation was present in 7% of COVID-19-related posts. In conclusion, online networks provide a useful source of real-world data from patients and their families, and analysis of these data highlighted a substantial impact of COVID-19 on prostate cancer care. PATIENT SUMMARY: We performed a study of online posts by patients with prostate cancer and their families on their perspectives about COVID-19. Concerns about the impact of COVID-19 included worry about delays in testing and treatment. Our research also revealed misinformation in COVID-19-related posts.

Fake News: Spread of Misinformation about Urological Conditions on Social Media.

Although there is a large amount of user-generated content about urological health issues on social media, much of this content has not been vetted for information accuracy. In this article, we review the literature on the quality and balance of information on urological health conditions on social networks. Across a wide range of benign and malignant urological conditions, studies show a substantial amount of commercial, biased and/or inaccurate information present on popular social networking sites. The healthcare community should take proactive steps to improve the quality of medical information on social networks. PATIENT SUMMARY: In this review, we examined the spread of misinformation about urological health conditions on social media. We found that a significant amount of the circulating information is commercial, biased or misinformative.

Advances in Motivational Interviewing for Pediatric Obesity: Results of the Brief Motivational Interviewing to Reduce Body Mass Index Trial and Future Directions.

Rates of childhood obesity in the United States remain at historic highs. The pediatric primary care office represents an important yet underused setting to intervene with families. One factor contributing to underuse of the primary care setting is lack of effective available interventions. One evidence-based method to help engage and motivate patients is motivational interviewing, a client-centered and goal-oriented style of counseling used extensively to increase autonomous motivation and modify health behaviors. This article summarizes the methods and results from a large trial implemented in primary care pediatric office and concludes with recommendations for improving the intervention and increasing its dissemination.

Predicting individual affect of health interventions to reduce HPV prevalence.

Recently, human papilloma virus (HPV) has been implicated to cause several throat and oral cancers and HPV is established to cause most cervical cancers. A human papilloma virus vaccine has been proven successful to reduce infection incidence in FDA clinical trials, and it is currently available in the USA. Current intervention policy targets adolescent females for vaccination; however, the expansion of suggested guidelines may extend to other age groups and males as well. This research takes a first step toward automatically predicting personal beliefs, regarding health intervention, on the spread of disease. Using linguistic or statistical approaches, sentiment analysis determines a text's affective content. Self-reported HPV vaccination beliefs published in web and social media are analyzed for affect polarity and leveraged as knowledge inputs to epidemic models. With this in mind, we have developed a discrete-time model to facilitate predicting impact on the reduction of HPV prevalence due to arbitrary age- and gender-targeted vaccination schemes.