Faculty Bibliography

BACKGROUND:Little is known about the risk and addiction perceptions of e-cigarettes among Asian populations. We examined e-cigarette perceptions among young adults in Hong Kong and the association between the perceptions and e-cigarette use patterns. METHODS:An online survey was administered to a convenience sample of Hong Kong residents aged 18-35 (N = 1186). Measures of e-cigarette perceptions included perceived harm and addictiveness of e-cigarettes, perceived harm of secondhand e-cigarette aerosol, and perceived popularity of e-cigarette use among peers. Separate multinomial logistic regression models were conducted to examine the associations between the four perceptions and former and current use of e-cigarettes relative to never use, controlling for demographics and current cigarette smoking status. Interactions of e-cigarette perceptions and current cigarette smoking were assessed in all models. Among current e-cigarette users, bivariate exact logistic regression models were used to examine the relationships between each of the perceptions and frequent e-cigarette use (≥3 days in past 30-day vs. 1-2 days). Among participants who had never used e-cigarettes, separate multivariable logistic regression models were conducted to examine the associations between e-cigarette perceptions and susceptibility to e-cigarette use. RESULTS:Overall, 97.2% of participants were aware of e-cigarettes, and 16.1% had tried e-cigarettes (11.3% former users; 4.8% current users). Young adults perceived e-cigarettes (and aerosol) as less harmful, less addictive, and less popular than cigarettes. Current cigarette smokers reported significantly lower perceived harmfulness and addictiveness of e-cigarettes, lower perceived harmfulness of e-cigarette aerosol, and higher perceived popularity than nonsmokers. The lower degree of harm and addiction perceptions, and higher levels of popularity perceptions were associated with greater odds of e-cigarette use, and these relationships were generally stronger among nonsmokers compared to current cigarette smokers. E-cigarette perceptions were not associated with frequent e-cigarette use. Perceiving e-cigarettes (and aerosol) as less harmful and less addictive were associated with greater susceptibility to e-cigarette use. Compared to nonsmokers, current smokers were more likely to report e-cigarette use and susceptibility. CONCLUSIONS:Continued monitoring of e-cigarette use and perceptions is needed. Educational programs should emphasize the potential harmful and addictive properties of e-cigarettes and the risks of secondhand exposure to e-cigarette aerosol.

IMPORTANCE:The association between late-life blood pressure (BP) and cognition may depend on the presence and chronicity of past hypertension. Late-life declines in blood pressure following prolonged hypertension may be associated with poor cognitive outcomes. OBJECTIVE:To examine the association of midlife to late-life BP patterns with subsequent dementia, mild cognitive impairment, and cognitive decline. DESIGN, SETTING, AND PARTICIPANTS:The Atherosclerosis Risk in Communities prospective population-based cohort study enrolled 4761 participants during midlife (visit 1, 1987-1989) and followed-up over 6 visits through 2016-2017 (visit 6). BP was examined over 24 years at 5 in-person visits between visits 1 and 5 (2011-2013). During visits 5 and 6, participants underwent detailed neurocognitive evaluation. The setting was 4 US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and Minneapolis, Minnesota. Follow-up ended on December 31, 2017. EXPOSURES:Five groups based on longitudinal patterns of normotension, hypertension (>140/90 mm Hg), and hypotension (<90/60 mm Hg) at visits 1 to 5. MAIN OUTCOMES AND MEASURES:Primary outcome was dementia onset after visit 5, based on Ascertain Dementia-8 informant questionnaires, Six-Item Screener telephone assessments, hospital discharge and death certificate codes, and the visit 6 neurocognitive evaluation. Secondary outcome was mild cognitive impairment at visit 6, based on the neurocognitive evaluation. RESULTS:Among 4761 participants (2821 [59%] women; 979 [21%] black race; visit 5 mean [SD] age, 75 [5] years; visit 1 mean age range, 44-66 years; visit 5 mean age range, 66-90 years), there were 516 (11%) incident dementia cases between visits 5 and 6. The dementia incidence rate for participants with normotension in midlife (n = 833) and late life was 1.31 (95% CI, 1.00-1.72 per 100 person-years); for midlife normotension and late-life hypertension (n = 1559), 1.99 (95% CI, 1.69-2.32 per 100 person-years); for midlife and late-life hypertension (n = 1030), 2.83 (95% CI, 2.40-3.35 per 100 person-years); for midlife normotension and late-life hypotension (n = 927), 2.07 (95% CI, 1.68-2.54 per 100 person-years); and for midlife hypertension and late-life hypotension (n = 389), 4.26 (95% CI, 3.40-5.32 per 100 person-years). Participants in the midlife and late-life hypertension group (hazard ratio [HR], 1.49 [95% CI, 1.06-2.08]) and in the midlife hypertension and late-life hypotension group (HR, 1.62 [95% CI, 1.11-2.37]) had significantly increased risk of subsequent dementia compared with those who remained normotensive. Irrespective of late-life BP, sustained hypertension in midlife was associated with dementia risk (HR, 1.41 [95% CI, 1.17-1.71]). Compared with those who were normotensive in midlife and late life, only participants with midlife hypertension and late-life hypotension had higher risk of mild cognitive impairment (37 affected individuals (odds ratio, 1.65 [95% CI, 1.01-2.69]). There was no significant association of BP patterns with late-life cognitive change. CONCLUSIONS AND RELEVANCE:In this community-based cohort with long-term follow-up, sustained hypertension in midlife to late life and a pattern of midlife hypertension and late-life hypotension, compared with midlife and late-life normal BP, were associated with increased risk for subsequent dementia.

PURPOSE/OBJECTIVE:Small independent primary care practices (SIPs) often lack the resources to implement system changes. HealthyHearts NYC, funded through the EvidenceNOW initiative of the Agency for Healthcare Research and Quality, studied the effectiveness of practice facilitation to improve cardiovascular disease- related care in 257 SIPs. We sought to understand SIP clinicians' perspectives on the benefits of practice facilitation. METHODS:We conducted in-depth interviews with 19 SIP clinicians enrolled in HealthyHearts NYC. Interviews were transcribed and coded using deductive and inductive approaches. To understand whether the perceived benefits of practice facilitation differ based on the availability of internal staff for quality improvement (QI), we compared themes pertaining to benefits between practices with 3 or fewer office staff vs more than 3 office staff. RESULTS:Clinicians perceived 2 main benefits of practice facilitation. First, facilitators served as a connection to the external health care environment for SIPs, often through teaching and information sharing. Second, facilitators provided electronic health record (EHR)/data expertise, often by teaching functionality and completing technical assistance and tasks. SIPs with more than 3 office staff felt that facilitators provided benefits primarily through teaching, whereas SIPs with 3 or fewer staff felt that facilitators also provided hands-on support. At the intersections of these benefits, there emerged 3 central practice facilitation benefits: (1) creating awareness of quality gaps, (2) connecting practices to information, resources, and strategies, and (3) optimizing the EHR for QI goals. CONCLUSIONS:SIP clinicians perceived practice facilitation to be an important resource for connecting their practice to the external health care environment and resources, and helping their practice build QI capacity through teaching, hands-on support, and EHR-driven solutions.

BACKGROUND:Over half of male childhood cancer survivors experience infertility after treatment, which is known to cause distress and impact future quality of life. Sperm banking rates remain low, and little is known about how adolescent and young adult (AYA) males and their families make fertility preservation (FP) decisions. This study examined AYA and parent perceptions of participating in a research study focused on testing a new FP decision tool at the time of cancer diagnosis. METHODS:Forty-four participants (19 mothers, 11 fathers, 14 male AYAs 12-25 years old) from 20 families completed brief assessments at diagnosis and approximately one month later, including a qualitative interview exploring the impact of study participation. Verbatim transcripts were coded through thematic content analysis using the constant comparison method. RESULTS:Two major themes emerged: (1) a positive effect of participating in the study and (2) a neutral effect (no positive/negative effect of participation). Subthemes that emerged for participants who noted a positive effect included (a) participation prompted deeper thinking, (b) participation influenced family conversations, and (c) participation resulted in altruism/helping others. No participant reported a negative effect. CONCLUSIONS:This study demonstrates that participation in family-centered research focused on FP among AYA males, before treatment begins, is perceived as beneficial or neutral at the time of a new cancer diagnosis. These findings provide support for future family-centered FP interventions for this population.

PURPOSE:Patient-reported outcomes after radical prostatectomy have focused on erectile function. To date, no studies have validated the Patient-Reported Outcome Measurement Information System (PROMIS) Sexual Interest and Satisfaction single item measures in patients with prostate cancer, nor have studies examined how these measures relate to erectile function. In addition, data are lacking with regard to the clinical responsiveness of these measures to treatment. We sought to validate and examine the clinical utility of these measures in men after radical prostatectomy. PATIENTS AND METHODS:We identified men who underwent a robotic radical prostatectomy from May 2014 to January 2016 in the Michigan Urological Surgery Improvement Collaborative. A single item from the PROMIS Global Satisfaction With Sex Life subdomain and a single item from the PROMIS Interest in Sexual Activity subdomain were administered. Erectile function was also assessed. Differences between baseline and 24-month T-scores for both PROMIS interest and satisfaction were examined. Multilevel models were constructed to examine change over time. RESULTS:< .002). CONCLUSION:PROMIS Global Satisfaction With Sex Life and Interest in Sexual Activity single-item measures are fundamental measures in prostate cancer survivorship. Patients are interested in sex despite functional losses and can salvage satisfaction, thereby giving insight into attainable patient-centered survivorship goals for sexual recovery after radical prostatectomy.

Background: Land use regression (LUR) has been widely used to estimate air pollution exposure in recent epidemiology studies. However, few LUR studies were conducted in China, and even fewer used purposefully designed monitoring networks. The objectives of this study are to obtain preliminary understanding of fine-scale air pollution distributions, and to provide a foundation for a future extended study in Lanzhou, China, a major industrial city. Method(s): A pilot monitoring network was designed using stratified-random sampling, and purposeful selection in gaps of spatial predictor distributions. Based on this network, NO2 were measured using Palmes tubes for 2 weeks in summer 2015, which were used to develop a pilot LUR model considering spatial information of traffic and population densities, elevation, land cover, and land use. We developed linear regression, kriging models, including ordinary kriging, universal kriging, and compared them using AIC. Result(s): The sampling sites of the pilot monitoring network represented wide ranges of spatial predictors (N = 47). The pilot LUR model explained 71% of the variance in the measured NO2 at the sampling sites. The spatial predictors in the model included road densities, elevation, and district indicator. Predicted NO2 concentrations were higher in the east of the city, which is more developed and has dense road networks. Linear regression model performed better than the kriging models due to the lowest AIC. Conclusion(s): This study developed a pilot monitoring network that can effectively capture variability in spatial characteristics and developed a robust LUR model capturing small-scale spatial variations of air pollution in an understudied area. The predicted and measured NO2 showed substantial spatial heterogeneity that was not captured by the limited government monitors. A future study with extended monitoring network and measurements from more seasons is needed to fully understand the distribution of air pollution in Lanzhou, China.

BACKGROUND:Diagnostic error in ambulatory care, a frequent cause of preventable harm, may be mitigated using the collective intelligence of multiple clinicians. The National Academy of Medicine has identified enhanced clinician collaboration and digital tools as a means to improve the diagnostic process. OBJECTIVE:This study aims to assess the efficacy of a collective intelligence output to improve diagnostic confidence and accuracy in ambulatory care cases (from primary care and urgent care clinic visits) with diagnostic uncertainty. METHODS:This is a pragmatic randomized controlled trial of using collective intelligence in cases with diagnostic uncertainty from clinicians at primary care and urgent care clinics in 2 health care systems in San Francisco. Real-life cases, identified for having an element of diagnostic uncertainty, will be entered into a collective intelligence digital platform to acquire collective intelligence from at least 5 clinician contributors on the platform. Cases will be randomized to an intervention group (where clinicians will view the collective intelligence output) or control (where clinicians will not view the collective intelligence output). Clinicians will complete a postvisit questionnaire that assesses their diagnostic confidence for each case; in the intervention cases, clinicians will complete the questionnaire after reviewing the collective intelligence output for the case. Using logistic regression accounting for clinician clustering, we will compare the primary outcome of diagnostic confidence and the secondary outcome of time with diagnosis (the time it takes for a clinician to reach a diagnosis), for intervention versus control cases. We will also assess the usability and satisfaction with the digital tool using measures adapted from the Technology Acceptance Model and Net Promoter Score. RESULTS:We have recruited 32 out of our recruitment goal of 33 participants. This study is funded until May 2020 and is approved by the University of California San Francisco Institutional Review Board until January 2020. We have completed data collection as of June 2019 and will complete our proposed analysis by December 2019. CONCLUSIONS:This study will determine if the use of a digital platform for collective intelligence is acceptable, useful, and efficacious in improving diagnostic confidence and accuracy in outpatient cases with diagnostic uncertainty. If shown to be valuable in improving clinicians' diagnostic process, this type of digital tool may be one of the first innovations used for reducing diagnostic errors in outpatient care. The findings of this study may provide a path forward for improving the diagnostic process. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:DERR1-10.2196/13151.

Background Canadian Cardiovascular Society (CCS) angina severity classification is associated with mortality, myocardial infarction, and coronary revascularization in clinical trial and registry data. The objective of this study was to determine associations between CCS class and all-cause mortality and healthcare utilization, using natural language processing to extract CCS classifications from clinical notes. Methods and Results In this retrospective cohort study of veterans in the United States with stable angina from January 1, 2006, to December 31, 2013, natural language processing extracted CCS classifications. Veterans with a prior diagnosis of coronary artery disease were excluded. Outcomes included all-cause mortality (primary), all-cause and cardiovascular-specific hospitalizations, coronary revascularization, and 1-year healthcare costs. Of 299 577 veterans identified, 14 216 (4.7%) had ≥1 CCS classification extracted by natural language processing. The mean age was 66.6±9.8 years, 99% of participants were male, and 81% were white. During a median follow-up of 3.4 years, all-cause mortality rates were 4.58, 4.60, 6.22, and 6.83 per 100 person-years for CCS classes I, II, III, and IV, respectively. Multivariable adjusted hazard ratios for all-cause mortality comparing CCS II, III, and IV with those in class I were 1.05 (95% CI, 0.95-1.15), 1.33 (95% CI, 1.20-1.47), and 1.48 (95% CI, 1.25-1.76), respectively. The multivariable hazard ratio comparing CCS IV with CCS I was 1.20 (95% CI, 1.09-1.33) for all-cause hospitalization, 1.25 (95% CI, 0.96-1.64) for acute coronary syndrome hospitalizations, 1.00 (95% CI, 0.80-1.26) for heart failure hospitalizations, 1.05 (95% CI, 0.88-1.25) for atrial fibrillation hospitalizations, 1.92 (95% CI, 1.40-2.64) for percutaneous coronary intervention, and 2.51 (95% CI, 1.99-3.16) for coronary artery bypass grafting surgery. Conclusions Natural language processing-extracted CCS classification was positively associated with all-cause mortality and healthcare utilization, demonstrating the prognostic importance of anginal symptom assessment and documentation.

Background: Posting on social media can have lasting consequences in one's social life and career. Research has not yet focused on social media or more modern forms of communication as social risk factors for individuals high on drugs. This study aims to examine prevalence and correlates of engaging in social media posting and related behavior while high. Methods: We examined data from 872 adults (39.8% female) who were surveyed entering electronic dance music (EDM) parties in New York City and reported lifetime illegal drug use. Participants were asked whether they were ever high on a drug while (1) posting on social media, (2) calling or texting someone, and (3) being in a photo. Those answering affirmatively were also asked whether they later regretted the behavior. We examined demographic and drug-related correlates of these behaviors. Results: Of the participants, 34.3% posted on social media while high (with 21.4% regretting it), 55.9% had texted or called someone while high (with 30.5% regretting it), and 47.6% had been in a photo while high (with 32.7% regretting it). Females and young adults (ages 18-24) were at high risk for posting on social media while high and at higher risk for engaging in more of these behaviors. Past-month marijuana users in particular were at increased risk for engaging in each of these behaviors. Conclusion: Engaging in these behaviors while high on drugs appears to be prevalent, and prevention and harm reduction efforts should seek to prevent or reduce likelihood of social harm that can result from such situations.