Faculty Bibliography

OBJECTIVE:To assess information needs of adults with Cystic Fibrosis and their families toward designing a patient decision aid about invasive mechanical ventilation (IMV) and lung transplant. METHODS:Focus groups and in-depth interviews explored participants' knowledge, prior clinical conversations, and decisions about IMV and lung transplant. Interviews and focus groups were recorded and transcribed for analysis. RESULTS:N = 24 participants were recruited. Themes identified were: prior communication with clinicians, decision-making process, and living with CF. Participants having prior conversations with CF clinicians regarding: lung transplant (N = 17/74%), and IMV (N = 3/13%). Most 15(65%) felt it was important to hear patients' real-life experience, others (3/13%) relied on their CF doctors for information. Most people (16/70%) believed hearing prognosis was helpful, but 5(22%) found this information frightening. High degrees of social isolation and a desire for more interaction with other CF adults were found. CONCLUSIONS:Qualitative methods helped identify areas important for decision making about IMV and LT for CF adults. Future directions include usability and feasibility testing of the decision aid. PRACTICE IMPLICATIONS/CONCLUSIONS:Because IMV is rarely discussed with CF adults, clinicians might approach this topic, as with transplant, as lung function begins to decline. CF-care teams should also foster CF patient-level information exchange.

PURPOSE/OBJECTIVE:To develop natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations. METHOD AND MATERIALS/METHODS:We searched the electronic health records for patients who underwent chest CT during 2014 and 2017, before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. We randomly selected 950 unstructured chest CT reports and reviewed manually for ILNs. An NLP tool was trained and validated against the manually reviewed set, for the task of automated detection of ILNs with exclusion of previously known or definitively benign nodules. For ILNs found in the training and validation sets, we assessed whether reported management recommendations agreed with Fleischner Society guidelines. The guideline concordance of management recommendations was compared between 2014 and 2017. RESULTS:The NLP tool identified ILNs with sensitivity and specificity of 91.1% and 82.2%, respectively, in the validation set. Positive and negative predictive values were 59.7% and 97.0%. In reports of ILNs in the training and validation sets before versus after introduction of a Fleischner reporting macro, there was no difference in the proportion of reports with ILNs (108 of 500 [21.6%] versus 101 of 450 [22.4%]; P = .8), or in the proportion of reports with ILNs containing follow-up recommendations (75 of 108 [69.4%] versus 80 of 101 [79.2%]; P = .2]. Rates of recommendation guideline concordance were not significantly different before and after implementation of the standardized macro (52 of 75 [69.3%] versus 60 of 80 [75.0%]; P = .43). CONCLUSION/CONCLUSIONS:NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.

This report presents a new implementation of the Besag-York-Mollié (BYM) model in Stan, a probabilistic programming platform which does full Bayesian inference using Hamiltonian Monte Carlo (HMC). We review the spatial auto-correlation models used for areal data and disease risk mapping, and describe the corresponding Stan implementations. We also present a case study using Stan to fit a BYM model for motor vehicle crashes injuring school-age pedestrians in New York City from 2005 to 2014 localized to census tracts. Stan efficiently fit our multivariable BYM model having a large number of observations (n=2095 census tracts) with small outcome counts < 10 in the majority of tracts. Our findings reinforced that neighborhood income and social fragmentation are significant correlates of school-age pedestrian injuries. We also observed that nationally-available census tract estimates of commuting methods may serve as a useful indicator of underlying pedestrian densities.

AIM:SEARCH has recently reported that both prevalence and incidence of youth onset type 2 diabetes (YT2D) increased among most US race/ethnic groups in the early 2000s. This study reports on the incidence (2002-2013) and prevalence (2001, 2009) of YT2D in the Navajo Nation among youth age < 20 years from 2001 to 2013. METHODS:SEARCH sought to identify prevalent YT2D cases in 2001 (N = 75) and 2009 (N = 70) and all incident YT2D cases in three periods: 2002 to 2005 (N = 53), 2006 to 2009 (N = 68), and 2010 2013 (N = 90) in Navajo Nation. Denominators were based on the active Indian Health Service user population for eligible health care facilities. Prevalence (per 100 000) and period-specific incidence rates (per 100 000 person-years) were computed for youth aged 10 to 19 years. Changes in prevalence were tested with a two-sided skew-corrected inverted score test, while changes in incidence were tested with Poisson regression. RESULTS:YT2D prevalence was high but stable in 2001 and 2009, overall [146.6 (116.8, 184.0) vs 141.5 (112.0, 178.8), P = .65) and in all subgroups. In contrast, incidence rates increased particularly between the second and third periods overall and in most subgroups by age and by sex. CONCLUSIONS:These data confirm the high burden of YT2D among Navajo youth and suggest an increasing risk in more recent years. However, recent improvements in obesity reduction in this population demonstrate optimism for potential reductions in YT2D in Navajo Nation.

INTRODUCTION/BACKGROUND:Smoking disproportionately affects individuals with psychiatric diagnoses. Providers can play a role in reducing tobacco-related morbidity among people with a psychiatric diagnosis by routinely screening and treating all patients for tobacco use. This study seeks to identify rates of tobacco screening, counseling, and medication orders during outpatient visits with adults who have a psychiatric diagnosis. METHODS:Data from the 2012-2015 National Ambulatory Medical Care Survey were examined to calculate the proportion of visits with people who have a psychiatric diagnosis that included tobacco screening, counseling, or smoking-cessation medications. Logistic regression was used to identify patient and visit factors associated with tobacco screening and treatment. All analyses were conducted in 2018. RESULTS:Seventy-two percent of visits included tobacco screening, 23% of visits with tobacco users included cessation counseling, and 4% of visits with tobacco users included a cessation medication order. Visits were more likely to include tobacco screening if they were for a nonpsychiatric condition, were >30 minutes, or were with a primary care physician (p<0.05). Visits were less likely to include tobacco screening if they were with a black, non-Hispanic patient or patient with Medicaid (p<0.05). Visits were more likely to include cessation counseling if they were for a nonpsychiatric condition (p<0.05), and were less likely to include counseling if they were with a Hispanic or self-pay patient (p<0.05). CONCLUSIONS:There is still room for improvement in providing equitable treatment for people with psychiatric conditions for smoking, particularly in nonprimary settings.

Gestational trophoblastic disease (GTD), a rare complication of pregnancy, includes both benign and malignant forms, the latter collectively referred to as gestational trophoblastic neoplasia (GTN). When metastatic, the lungs are the most common site of initial spread. Beta-human chorionic gonadotropin, elaborated to some extent by all forms of GTD, is useful in facilitating disease detection, diagnosis, monitoring treatment response, and follow-up. Imaging evaluation depends on whether GTD manifests in one of its benign forms or whether it has progressed to GTN. Transabdominal and transvaginal ultrasound with duplex Doppler evaluation of the pelvis are usually appropriate diagnostic procedures in either of these circumstances, and in posttreatment surveillance. The appropriateness of more extensive imaging remains dependent on a diagnosis of GTN and on other factors. The use of imaging to assess complications, typically hemorrhagic, should be guided by the location of clinical signs and symptoms. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

Project Extension for Community Healthcare Outcomes (Project ECHO) offers an innovative and low-cost approach to enhancing the management of complex conditions among primary care providers. The NYC Health + Hospitals Buprenorphine ECHO (H + H ECHO) program offers primary care providers (PCPs) training and support in managing opioid use disorder (OUD). This exploratory study assessed the feasibility of a 16-session video conferencing platform led by Addiction Medicine experts in improving addiction knowledge, perceived self-efficacy, and buprenorphine prescribing among PCPs located in 17 publicly-funded ambulatory care clinics. A pre- and post-training survey assessed changes in knowledge and self-efficacy. Buprenorphine prescribing patterns were also captured pre-post training. Training sessions consisted of a review of the agenda by the H + H ECHO hub team, 15-30 min didactic lectures led by specialists, followed by a patient case presentation. Participants attended an average of 9 lectures (range, 1-15 sessions) and 53% of trainees attended at least 10 of the 16 sessions. Perceived self-efficacy improved post-H + H ECHO (73.2%) versus pre-training survey results (58.1%). There were minimal increases in knowledge post-training (58.4%) versus pre-training (51.4%). Only three additional providers reported prescribing Buprenorphine post-training (n = 10) versus pre-training (n = 7). Suggestions for improving H + H ECHO included trainings addressing stigma, administrative support, improved referrals to office-based opioid treatment (OBOT), integration of non-physician staff (i.e., case management, social work), and combining multimodal learning strategies (i.e., podcasts, web-based modules) with videoconferencing. This study demonstrates the feasibility of H + H ECHO among PCPs in publicly-funded clinics and improvements in self-efficacy. Studies are needed to identify alternative strategies to improve knowledge and prescribing of buprenorphine post-H + H ECHO.