Faculty Bibliography

Despite high rates of Hepatitis C virus (HCV) infection among people who use drugs (PWUDs), access to the HCV care continuum combined with the receipt of medications for addiction treatment in primary care settings remains suboptimal. A qualitative study was conducted among adults admitted for inpatient detoxification for opioid use disorder (OUD) in New York City (n=23) to assess barriers and facilitators with HCV prevention, screening, treatment, interactions with primary care providers, and experiences with integrated care approaches. Study findings yielded six major themes related to HCV care. Major gaps persist in knowledge regarding HCV harm reduction strategies, voluntary HCV testing services, and eligibility for HCV treatment. Treatment coordination challenges reinforce the importance of enhancing linkages to HCV care in key access-points utilized by PWUDs (e.g., emergency rooms, specialty addiction treatment settings). Peer networks combined with frequent patient-physician communication were elicited as important factors in facilitating linkage to HCV care. Additional care coordination needs in primary care settings included access to integrated treatment of HCV and OUD, and administrative support for enrollment in Medicaid, subsidized housing, and access to transportation vouchers.

Healthcare systems are implementing value-based payment (VBP) arrangements in efforts to incentivize cost-effective, high quality of care. These arrangements represent a major shift for substance use disorder (SUD) treatment providers who may need to make changes to their clinical and business operations to meet new demands for quality under value-based contracts. This qualitative study was conducted in the context of New York State's efforts to implement VBP among SUD treatment providers to understand their experiences, challenges, and needs. Five focus groups were conducted across the State with a total of 68 treatment professionals. Content analysis was conducted and five themes emerged. First, competing demands, limited workforce and technology infrastructure, and perceived lack of information were leading to overwhelmed administrators. Second, confusion and financial fear was being driven by the need for new clinical roles, business practices, and external partnerships. Third, providers were undertaking a number of measures to address workforce needs. Fourth, providers were building new business models and clinical practices. Fifth, providers desired more support and information. As VBP models are being adopted, healthcare systems should identify ways to mitigate challenges and support SUD treatment providers that may have limited resources to address complex workforce, client, and infrastructure needs.

INTRODUCTION:The COVID-19 pandemic had clear impacts on mental health. Social media presents an opportunity for assessing mental health at the population level. OBJECTIVES:1) Identify and describe language used on social media that is associated with discourse about depression. 2) Describe the associations between identified language and COVID-19 incidence over time across several geographies. METHODS:We create a word embedding based on the posts in Reddit's /r/Depression and use this word embedding to train representations of active authors. We contrast these authors against a control group and extract keywords that capture differences between the two groups. We filter these keywords for face validity and to match character limits of an information retrieval system, Elasticsearch. We retrieve all geo-tagged posts on Twitter from April 2019 to June 2021 from Seattle, Sydney, Mumbai, and Toronto. The tweets are scored with BM25 using the keywords. We call this score rDD. We compare changes in average score over time with case counts from the pandemic's beginning through June 2021. RESULTS:We observe a pattern in rDD across all cities analyzed: There is an increase in rDD near the start of the pandemic which levels off over time. However, in Mumbai we also see an increase aligned with a second wave of cases. CONCLUSIONS:Our results are concordant with other studies which indicate that the impact of the pandemic on mental health was highest initially and was followed by recovery, largely unchanged by subsequent waves. However, in the Mumbai data we observed a substantial rise in rDD with a large second wave. Our results indicate possible un-captured heterogeneity across geographies, and point to a need for a better understanding of this differential impact on mental health.

INTRODUCTION/BACKGROUND:Smoking rates remain disproportionately high among Chinese immigrants in the US, particularly in males. Community-based smoking cessation services and quitlines have low engagement rates. Social media and text messaging programs can be effective in promoting quit rates and improving treatment engagement. This study examined Chinese immigrant smokers' barriers to accessing available smoking cessation services and patterns of using social media platforms and mobile phone text messaging. METHODS:We conducted in-depth interviews (n=30) and a brief survey (n=49) with adult Chinese immigrant smokers leaving in New York City in 2018. Qualitative interviews explored smokers' challenges with smoking cessation, barriers to accessing and using smoking cessation services, and experience using social media and text messaging. The quantitative survey assessed smoking and quitting behaviors, and social media and text messaging use patterns. RESULTS:Qualitative data revealed that participants faced various barriers to accessing cessation services, including the lack of awareness about services, skepticism about treatment effects, reliance on willpower for cessation, and time constraints. WeChat was mainly used to maintain social networking and acquire information. Participants rarely used text messaging or other social media platforms. Quantitative data showed that 55% of participants had no plan to quit smoking. Among those who reported past-year quit attempts (45%), 55% used cessation assistance. WeChat was the most frequently used platform with 94% users. CONCLUSIONS:WeChat has potential to serve as an easily accessible platform for delivering smoking cessation treatment among Chinese immigrant populations. Research is warranted to explore the feasibility and efficacy of employing WeChat in smoking cessation treatment.

BACKGROUND:The Air Quality Index (AQI) in the United States is widely used to communicate daily air quality information to the public. While use of the AQI has led to reported changes in individual behaviors, such behavior modifications will only mitigate adverse health effects if AQI values are indicative of public health risks. Few studies have assessed the capability of the AQI to accurately predict respiratory morbidity risks. METHODS AND FINDINGS/RESULTS:In three major regions of California, Poisson generalized linear models were used to assess seasonal associations between 1,373,165 respiratory emergency department visits and short-term exposure to multiple metrics between 2012-2014, including: daily concentrations of NO2, O3, and PM2.5; the daily reported AQI; and a newly constructed health-based air quality index. AQI values were positively associated (average risk ratio = 1.03, 95% CI 1.02-1.04) during the cooler months of the year (November-February) in all three regions when the AQI was very highly correlated with PM2.5 (R2 ≥ 0.89). During the warm season (March-October) in the San Joaquin Valley region, neither AQI values nor the individual underlying air pollutants were associated with respiratory morbidity. Additionally, AQI values were not positively associated with respiratory morbidity in the Southern California region during the warm season, despite strong associations of the individual underlying air pollutants with respiratory morbidity; in contrast, health-based index values were observed to be significantly associated with respiratory morbidity as part of an applied policy analysis in this region, with a combined risk ratio of 1.02 (95% CI: 1.01-1.03). CONCLUSIONS:In regions where individual air pollutants are associated with respiratory morbidity, and during seasons with relatively simple air mixtures, the AQI can effectively serve as a risk communication tool for respiratory health risks. However, the predictive ability of the AQI and any other index is contingent upon the monitored values being representative of actual population exposures. Other approaches, such as health-based indices, may be needed in order to effectively communicate health risks of air pollution in regions and seasons with more complex air mixtures.