Faculty Bibliography

OBJECTIVES/OBJECTIVE:Understanding barriers to care for transgender people with cancer is necessary to increase oncologic care access. Little has been published regarding the experiences of transgender people with cancer. We sought to explore these experiences, assess barriers to oncologic care, and elucidate potential solutions. METHODS:Using an interpretive descriptive approach, we conducted two group interviews with transgender people who had been diagnosed with cancer and one with physicians who treat patients with cancer. Two investigators independently analyzed verbatim transcripts and, together, refined themes, resolving disagreements with consensus. Member checking and peer debriefing were used to confirm and elaborate on findings. RESULTS:Seven people who had been diagnosed with cancer and five physicians who treat people with cancer participated in group interviews. Themes included: (a) experiences with cancer may uniquely impact transgender people; (b) enforcement of clinician and systemic gender expectations creates barriers to cancer care; and (c) resistance to gender expectations may facilitate care. CONCLUSIONS:Gender expectations create barriers to oncologic care, which can be resisted by patients, clinicians, and institutions. IMPLICATIONS FOR PRACTICE/CONCLUSIONS:Clinicians and institutions should create gender-inclusive oncologic spaces, demonstrate allyship, and support patient autonomy to decrease barriers to care for transgender people with cancer.

OBJECTIVE:To describe factors associated with Quality improvement and patient safety (QIPS) participation using 2018 American Urological Association Census data. QIPS have become increasingly important in medicine. However, studies about QIPS in urology suggest low levels of participation, with little known about factors predicting non-participation. METHODS:Results from 2339 census respondents were weighted to estimate 12,660 practicing urologists in the United States. Our primary outcome was participation in QIPS. Predictor variables included demographics, practice setting, rurality, fellowship training, QIPS domains in practice, years in practice, and non-clinical/clinical workload. RESULTS:QIPS participants and non-participants significantly differed in distributions of age (P = .0299), gender (P = .0013), practice setting (P <.0001), employment (employee vs partner vs owner vs combination; P <.0001), and fellowship training (P <.0001). QIPS participants reported fewer years in practice (21.3 vs 25.9, P = .018) and higher clinical (45.2 vs 39.2, P = .022) and non-clinical (8.76 vs 5.28, P = .002) work hours per week. Non-participation was associated with male gender (OR = 2.68, 95% CI 1.03-6.95) and Asian race (OR = 2.59, 95% CI 1.27-5.29) for quality programs and private practice settings (ORs = 8.72-27.8) for patient safety initiatives. CONCLUSION/CONCLUSIONS:QIPS was associated with academic settings. Interventions to increase rates of quality and safety participation should target individual and system-level factors, respectively. Future work should discern barriers to QIPS engagement and its clinical benefits.

BACKGROUND:While specific interventions have previously demonstrated benefit in patients with the Acute Respiratory Distress Syndrome (ARDS), use of these interventions is inconsistent, and patient mortality remains high. The impact of variability in center management practices on ARDS mortality rates remains unknown. RESEARCH QUESTION/OBJECTIVE:What is the impact of treatment variability on mortality in patients with moderate-to-severe ARDS in the United States (US)? STUDY DESIGN AND METHODS/METHODS:O, who were admitted to 29 US centers between October 1, 2016 and April 30, 2017. The primary outcome was 28-day in-hospital mortality. Center variation in ventilator management, adjunctive therapy use, and mortality were also assessed. RESULTS:O) was 31.4% and varied between centers (0%-65%), as did rates of adjunctive therapy use (27.1%-96.4%), types of modalities used (neuromuscular blockade, prone positioning, systemic steroids, pulmonary vasodilators, and extracorporeal support), and mortality (16.7-73.3%). Center standardized mortality ratios (SMRs), calculated using baseline patient-level characteristics to derive expected mortality rate, ranged from 0.33 to 1.98. Of the treatment-level factors explored, only center adherence to early lung protective ventilation (LPV) was correlated with SMR. INTERPRETATION/CONCLUSIONS:Substantial center-to-center variability exists in ARDS management, suggesting that further opportunities for improving ARDS outcomes exist. Early adherence to LPV was associated with lower center mortality and may be a surrogate for overall quality of care processes. Future collaboration is needed to identify additional treatment-level factors influencing center-level outcomes. CLINICAL TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov Identifier: NCT03021824.

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BACKGROUND/UNASSIGNED:Emergency department (ED) patients commonly experience both substance use and homelessness, and social relationships impact each in varied ways not fully captured by existing quantitative research. This qualitative study examines how social relationships can precipitate or ameliorate homelessness and the connection (if any) between substance use and social relationships among ED patients experiencing homelessness. METHODS/UNASSIGNED:As part of a broader study to develop ED-based homelessness prevention interventions, we conducted in-depth interviews with 25 ED patients who used alcohol or drugs and had recently become homeless. We asked patients about the relationship between their substance use and homelessness. Interviews were recorded, transcribed, and coded line-by-line by investigators. Final codes formed the basis for thematic analysis through consensus discussions. RESULTS/UNASSIGNED:Social relationships emerged as focal points for understanding the four major themes related to the intersection of homelessness and substance use: (1) Substance use can create strain in relationships; (2) Help is there until it's not; (3) Social relationships can create challenges contributing to substance use; and (4) Reciprocal relationship of substance use and isolation. Sub-themes were also identified and described. CONCLUSIONS/UNASSIGNED:The association between substance use and homelessness is multifaceted and social relationships are a complex factor linking the two. Social relationships are often critical for homelessness prevention, but they are impacted by and reciprocally affect substance use. ED-based substance use interventions should consider the high prevalence of homelessness and the impact of social relationships on the interaction between homelessness and substance use.

BACKGROUND/UNASSIGNED:The SUSIT significantly increased delivery of BI for drug use by PCPs during routine primary care encounters.

BACKGROUND:Harnessing health-related data posted on social media in real time can offer insights into how the pandemic impacts the mental health and general well-being of individuals and populations over time. OBJECTIVE:This study aimed to obtain information on symptoms and medical conditions self-reported by non-Twitter social media users during the COVID-19 pandemic, to determine how discussion of these symptoms and medical conditions changed over time, and to identify correlations between frequency of the top 5 commonly mentioned symptoms post and daily COVID-19 statistics (new cases, new deaths, new active cases, and new recovered cases) in the United States. METHODS:We used natural language processing (NLP) algorithms to identify symptom- and medical condition-related topics being discussed on social media between June 14 and December 13, 2020. The sample posts were geotagged by NetBase, a third-party data provider. We calculated the positive predictive value and sensitivity to validate the classification of posts. We also assessed the frequency of health-related discussions on social media over time during the study period, and used Pearson correlation coefficients to identify statistically significant correlations between the frequency of the 5 most commonly mentioned symptoms and fluctuation of daily US COVID-19 statistics. RESULTS:Within a total of 9,807,813 posts (nearly 70% were sourced from the United States), we identified a discussion of 120 symptom-related topics and 1542 medical condition-related topics. Our classification of the health-related posts had a positive predictive value of over 80% and an average classification rate of 92% sensitivity. The 5 most commonly mentioned symptoms on social media during the study period were anxiety (in 201,303 posts or 12.2% of the total posts mentioning symptoms), generalized pain (189,673, 11.5%), weight loss (95,793, 5.8%), fatigue (91,252, 5.5%), and coughing (86,235, 5.2%). The 5 most discussed medical conditions were COVID-19 (in 5,420,276 posts or 66.4% of the total posts mentioning medical conditions), unspecified infectious disease (469,356, 5.8%), influenza (270,166, 3.3%), unspecified disorders of the central nervous system (253,407, 3.1%), and depression (151,752, 1.9%). Changes in posts in the frequency of anxiety, generalized pain, and weight loss were significant but negatively correlated with daily new COVID-19 cases in the United States (r=-0.49, r=-0.46, and r=-0.39, respectively; P<.05). Posts on the frequency of anxiety, generalized pain, weight loss, fatigue, and the changes in fatigue positively and significantly correlated with daily changes in both new deaths and new active cases in the United States (r ranged=0.39-0.48; P<.05). CONCLUSIONS:COVID-19 and symptoms of anxiety were the 2 most commonly discussed health-related topics on social media from June 14 to December 13, 2020. Real-time monitoring of social media posts on symptoms and medical conditions may help assess the population's mental health status and enhance public health surveillance for infectious disease.

We identified family risk profiles at 6 months using socioeconomic status (SES) and maternal mental health indicators with data from the Family Life Project (N = 1,292). We related profiles to executive function (EF) at 36 months (intercept) and growth in EF between 36 and 60 months. Latent profile analysis revealed five distinct profiles, characterized by different combinations of SES and maternal mental health symptoms. Maternal sensitivity predicted faster growth in EF among children in the profile characterized by deep poverty and the absence of maternal mental health symptoms. Maternal sensitivity also predicted higher EF intercept but slower EF growth among children in the profile characterized by deep poverty and maternal mental health symptoms, and children in the near poor (low SES), mentally healthy profile. Maternal sensitivity also predicted higher EF intercept but had no effect on growth in EF in the near poor, mentally distressed profile. In contrast, maternal sensitivity did not predict the intercept or growth of EF in the privileged SES/mentally healthy profile. Our findings using a person-centered approach provide a more nuanced understanding of the role of maternal sensitivity in the growth of EF, such that maternal sensitivity may differentially affect the growth of EF in various contexts.