Faculty Bibliography

OBJECTIVE:Guideline-concordant follow-up of incidental lung nodules (ILNs) is suboptimal. We aimed to improve communication and tracking for follow-up of these common incidental findings detected on imaging examinations. METHODS:We implemented a process improvement program for reporting and tracking ILNs at a large urban academic health care system. A multidisciplinary committee designed, tested, and implemented a multipart tracking system in the electronic health record (EHR) that included Fleischner Society management recommendations for each patient. Plan-do-study-act cycles addressed gaps in the follow-up of ILNs, broken into phases of developing and testing components of the conceived EHR toolkit. RESULTS:The program resulted in standardized text macros with discrete categories and recommendations for ILNs, with ability to track each case in a work list within the EHR. The macros incorporated evidence-based guidelines and also input of collaborating clinical referrers in the respective specialty. The ILN macro was used 3,964 times over the first 2 years, increasing from 104 to over 300 uses per month. Usage spread across all subspecialty divisions, with nonthoracic radiologists currently accounting for 80% (56 of 70) of the radiologists using the system and 31% (1,230 of 3,964) of all captured ILNs. When radiologists indicated ILNs as warranting telephone communication to provider offices, completion was documented in 100% of the cases captured in the EHR-embedded tracking report. CONCLUSION/CONCLUSIONS:An EHR-based system for managing incidental nodules enables case tracking with exact recommendations, provider communication, and completion of follow-up testing. Future efforts will target consistent radiologist use of the system and follow-up completion.

BACKGROUND:Advanced Parkinson's disease (PD) is a multidimensional neurodegenerative condition with motor and non-motor symptoms contributing to increasing disability and decreasing quality of life. As the disease progresses, patients may become homebound and estranged from neurological care, with dire consequences. We describe the increasing epidemiologic burden of and individual risks faced by patients with palliative-stage PD and their caregivers. METHODS:With the aim of mitigating these risks, we designed and iterated two models of interdisciplinary home visits to maintain continuity of care and illuminate the unmet needs and barriers to care faced by this population. We describe both models in detail, with data on feasibility and patient-centered outcomes achieved in the initial model, and baseline characteristics of participants in the ongoing expanded model. Finally, we illustrate the scope and common themes of such palliative care-informed home visits with two cases. RESULTS:The pilot model involved over 380 visits with 109 individual patients. Among those patients, PD severity worsened by nearly 12 points annually on the Unified Parkinson's Disease Rating Scale (UPDRS), without a corresponding decline in quality of life. In an ongoing study of the second iteration of the model, 52 patient-caregiver dyads have completed their initial visit, with 44% bearing a diagnosis of dementia and the majority requiring an assistive device or being bedbound. Two cases highlight the critical importance of thorough medication reconciliation and home safety assessment in the comprehensive evaluation and management of such patients. CONCLUSIONS:As our population ages, therapies increase, and the number of individuals living with advanced PD and related disorders grows, so too does the imperative to recognize and address the palliative care needs of such patients and families. For many, home may be a viable, and perhaps optimal, site for this care.

Implementing uncontrolled donation after circulatory determination of death (uDCDD) in the United States could markedly improve supply of donor lungs for patients in need of transplants. Evidence from U.S. pilot programs suggests families support uDCDD, but only if they are asked permission for using invasive organ preservation procedures prior to initiation. However, non-invasive strategies that confine oxygenation to lungs may be applicable to the overwhelming majority of potential uDCDD donors that have airway devices in place as part of standard resuscitation. We propose an ethical framework for lung uDCDD by: (1) initiating post mortem preservation without requiring prior permission to protect the opportunity for donation until an authorized party can be found; (2) using non-invasive strategies that confine oxygenation to lungs; and (3) maintaining strict separation between the healthcare team and the organ preservation team. Attempting uDCDD in this way has great potential to obtain more transplantable lungs while respecting donor autonomy and family wishes, securing public support, and enabling authorized persons to affirm or cease preservation decisions without requiring evidence of prior organ donation intent. It ensures prioritization of life-saving, the opportunity to allow willing donors to donate, and respect for bodily integrity while adhering to current ethical norms.

With the ubiquity of mobile devices, the availability of mobile health (mHealth) applications for cardiovascular disease (CVD) has markedly increased in recent years. Older adults represent a population with a high CVD burden and therefore have the potential to benefit considerably from interventions that utilize mHealth. Traditional facility-based cardiac rehabilitation represents one intervention that is currently underutilized for CVD patients and, because of the unique barriers that older adults face, represents an attractive target for mHealth interventions. Despite potential barriers to mHealth adoption in older populations, there is also evidence that older patients may be willing to adopt these technologies. In this review, we highlight the potential for mHealth uptake for older adults with CVD, with a particular focus on mHealth cardiac rehabilitation (mHealth-CR) and evidence being generated in this field.

BACKGROUND:Relaxation, biofeedback, and cognitive behavioral therapy are evidence-based behavioral therapies for migraine. Despite such efficacy, research shows that only about half of patients initiate behavioral therapy recommended by their headache specialists. OBJECTIVE:Motivational interviewing (MI) is a widely used method to help patients explore and overcome ambivalence to enact positive life changes. We tested the hypothesis that telephone-based MI would improve initiation, scheduling, and attending behavioral therapy for migraine. METHODS:Single-blind randomized controlled trial comparing telephone-based MI to treatment as usual (TAU). Participants were recruited during their appointments with headache specialists at two sites of a New York City medical center. INCLUSION CRITERIA/METHODS:ages from 16 to 80, migraine diagnosis by United Council of Neurologic Subspecialty fellowship trained and/or certified headache specialist, and referral for behavioral therapy for prevention in the appointment of recruitment. EXCLUSION CRITERIA/METHODS:having done behavioral therapy for migraine in the past year. Participants in the MI group received up to 5 MI calls. TAU participants were called after 3 months for general follow-up data. The prespecified primary outcome was scheduling a behavioral therapy appointment, and secondary outcomes were initiating and attending a behavioral therapy appointment. RESULTS:76 patients were enrolled and randomized (MI = 36, TAU = 40). At baseline, the mean number of headache days was 12.0 ± 9.0. Self-reported anxiety was present for 36/52 (69.2%) and depression for 30/52 (57.7%). Follow-up assessments were completed for 77.6% (59/76, MI = 32, TAU = 27). The mean number of MI calls per participant was 2.69 ± 1.56 [0 to 5]. There was a greater likelihood of those in the MI group to initiating an appointment (22/32, 68.8% vs 11/27, 40.7%, P = .0309). There were no differences in appointment scheduling or attendance. Reasons stated for not initiating behavioral therapy were lack of time, lack of insurance/funding, prioritizing other treatments, and travel plans. CONCLUSIONS:Brief telephone-based MI may improve rates of initiation of behavioral therapy for migraine, but other barriers appear to lessen the impact on scheduling and attending behavioral therapy appointments.

Tobacco use is rarely addressed in community mental healthcare despite high patient smoking prevalence. Community mental health centers have systems in place that could be used to comprehensively address tobacco use. This study tested feasibility of, satisfaction with, and safety of proactive tobacco treatment (tobacco outreach to offer connection to tobacco cessation treatment). Behavioral health home patients who smoke were randomly assigned to usual care (UC; N = 11) or proactive care (PC; N = 9). All participants were called 3-months post-randomization for follow-up. PC patients reported high satisfaction with the program and experienced no adverse events or mental health symptom exacerbation during treatment. PC patients reported greater reductions in cigarettes per day, more quit attempts, and more cessation medication utilization than UC patients. Proactive outreach for tobacco cessation is feasible in a behavioral health home, acceptable to patients, and may reduce smoking heaviness and promote quit attempts.

Mining social media data for studying the human condition has created new and unique challenges. When analyzing social media data from marginalized communities, algorithms lack the ability to accurately interpret off-line context, which may lead to dangerous assumptions about and implications for marginalized communities. To combat this challenge, we hired formerly gang-involved young people as domain experts for contextualizing social media data in order to create inclusive, community-informed algorithms. Utilizing data from the Gang Intervention and Computer Science Project-a comprehensive analysis of Twitter data from gang-involved youth in Chicago-we describe the process of involving formerly gang-involved young people in developing a new part-of-speech tagger and content classifier for a prototype natural language processing system that detects aggression and loss in Twitter data. We argue that involving young people as domain experts leads to more robust understandings of context, including localized language, culture, and events. These insights could change how data scientists approach the development of corpora and algorithms that affect people in marginalized communities and who to involve in that process. We offer a contextually driven interdisciplinary approach between social work and data science that integrates domain insights into the training of qualitative annotators and the production of algorithms for positive social impact.

OBJECTIVE:Diabetes in older age is heterogeneous, and the treatment approach varies by patient characteristics. We characterized the short-term all-cause and cardiovascular mortality risk associated with hyperglycemia in older age. RESEARCH DESIGN AND METHODS:≥6.5%, prior diagnosis <1 year, or taking antihyperglycemic medications <1 year), short-duration diabetes (duration ≥1 year but <10 years [median]), and long-standing diabetes (duration ≥10 years). Outcomes were all-cause and cardiovascular mortality (median follow-up of 5.6 years). RESULTS:Participants were 58% female, and 24% had prevalent cardiovascular disease. All-cause mortality rates, per 1,000 person-years, were 21.2 (95% CI 18.7, 24.1) among those without diabetes, 23.7 (95% CI 20.8, 27.1) for those with prediabetes, 33.8 (95% CI 25.2, 45.5) among those with recently diagnosed diabetes, 29.6 (95% CI 25.0, 35.1) for those with diabetes of short duration, and 48.6 (95% CI 42.4, 55.7) for those with long-standing diabetes. Cardiovascular mortality rates, per 1,000 person-years, were 5.8 (95% CI 4.6, 7.4) among those without diabetes, 6.6 (95% CI 5.2, 8.5) for those with prediabetes, 11.5 (95% CI 7.0, 19.1) among those with recently diagnosed diabetes, 8.2 (95% CI 5.9, 11.3) for those with diabetes of short duration, and 17.3 (95% CI 13.8, 21.7) for those with long-standing diabetes. After adjustment for other cardiovascular risk factors, prediabetes and newly diagnosed diabetes were not significantly associated with a higher risk of all-cause mortality (hazard ratio [HR] 1.03 [95% CI 0.85, 1.23] and HR 1.31 [95% CI 0.94, 1.82], respectively) or cardiovascular mortality (HR 1.00 [95% CI 0.70, 1.43] and HR 1.35 [95% CI 0.74, 2.49], respectively). Excess mortality risk was primarily concentrated among those with long-standing diabetes (all-cause: HR 1.71 [95% CI 1.40, 2.10]; cardiovascular: HR 1.72 [95% CI 1.18, 2.51]). CONCLUSIONS:In older adults, long-standing diabetes has a substantial and independent effect on short-term mortality. Older individuals with prediabetes remained at low mortality risk over a median 5.6 years of follow-up.