Faculty Bibliography

OBJECTIVE/BACKGROUND/OBJECTIVE:To examine the impact of prostate cancer (PCa) on sleep health for patients and caregivers. We hypothesized that sleep disturbances and poor sleep quality would be prevalent among patients with PCa and their caregivers. PATIENTS/METHODS/METHODS:A systematic literature search was conducted according to the Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines. To be eligible for this systematic review, studies had to include: (1) patients diagnosed with PCa and/or their caregivers; and (2) objective or subjective data on sleep. 2431 articles were identified from the search. After duplicates were removed, 1577 abstracts were screened for eligibility, and 315 underwent full-text review. RESULTS AND CONCLUSIONS/CONCLUSIONS:Overall, 83 articles met inclusion criteria and were included in the qualitative synthesis. The majority of papers included patients with PCa (98%), who varied widely in their treatment stage. Only 3 studies reported on sleep among caregivers of patients with PCa. Most studies were designed to address a different issue and examined sleep as a secondary endpoint. Commonly used instruments included the Insomnia Severity Index and European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaires (EORTC-QLQ). Overall, patients with PCa reported a variety of sleep issues, including insomnia and general sleep difficulties. Both physical and psychological barriers to sleep are reported in this population. There was common use of hypnotic medications, yet few studies of behavioral interventions to improve sleep for patients with PCa or their caregivers. Many different sleep issues are reported by patients with PCa and caregivers with diverse sleep measurement methods and surveys. Future research may develop consensus on validated sleep assessment tools for use in PCa clinical care and research to promote facilitate comparison of sleep across PCa treatment stages. Also, future research is needed on behavioral interventions to improve sleep among this population.

Whole food plant-based diets are gaining popularity as a preventative and therapeutic modality for numerous chronic health conditions, including chronic kidney disease, but their role and safety in end-stage kidney disease patients on peritoneal dialysis (PD) is unclear. Given the general public's increased interest in this dietary pattern, it is likely that clinicians will encounter individuals on PD who are either consuming, considering, or interested in learning more about a diet with more plants. This review explores how increasing plant consumption might affect those on PD, encompassing potential benefits, including some specific to the PD population, and potential concerns.

BACKGROUND:Traditional introductory point-of-care ultrasound (POCUS) courses are resource intensive, typically requiring 2-3 days at a remote site, consisting of lectures and hands-on components. Social distancing requirements resulting from the COVID-19 pandemic led us to create a novel hybrid course curriculum consisting of virtual and in-person components. METHODS:Faculty, chief residents, fellows and advanced practice providers (APPs) in the Department of Medicine were invited to participate in the hybrid curriculum. The course structure included 4 modules of recorded lectures, quizzes, online image interpretation sessions, online case discussions, and hands-on sessions at the bedside of course participant's patients. The components of the course were delivered over approximately 8 months. Those participants who completed a minimum of 3 modules over the year were invited for final assessments. Results from the hybrid curriculum cohort were compared to the year-end data from a prior traditional in-person cohort. RESULTS:Participant knowledge scores were not different between traditional (n = 19) and hybrid (n = 24) groups (81% and 84%, respectively, P = 0.9). There was no change in POCUS skills as measured by the hands-on test from both groups at end-of-course (76% and 76%, respectively, P = 0.93). Confidence ratings were similar across groups from 2.73 traditional to 3.0 hybrid (out of possible 4, P = 0.46). Participants rated the course highly, with an average overall rating of 4.6 out 5. CONCLUSIONS:A hybrid virtual and in-person POCUS course was highly rated and as successful as a traditional course in improving learner knowledge, hands-on skill and confidence at 8 months after course initiation. These results support expanding virtual elements of POCUS educational curricula.

BACKGROUND:Appetite traits and feeding practices are important determinants of child weight and obesity. OBJECTIVES/OBJECTIVE:This study examined whether: (1) infant appetite traits were associated with feeding practices and (2) feeding practices mediated the link between appetite traits and weight-for-age z-scores at age 3 years. METHODS:We conducted a secondary data analysis from the 'Starting Early Program' of low-income, Hispanic mother-child pairs. Appetite traits were assessed using the Baby Eating Behaviour Questionnaire. Infant feeding practices were collected using 24-h dietary recalls and surveys: (1) breastfeeding exclusivity, intensity and duration; (2) early introduction to complementary foods/liquids and (3) any 100% fruit juice consumption at age 10 months. Regression and mediation analyses were used to explore associations between appetite, feeding and weight. RESULTS:Higher infant Slowness in Eating scores were associated with greater breastfeeding exclusivity, intensity and duration, compared to lower Slowness in Eating. Infants with higher Slowness in Eating and Satiety Responsiveness had lower odds of early introduction to complementary foods/liquids. Infants with higher Enjoyment of Food had greater odds of 100% juice consumption. Breastfeeding duration mediated the relationship between higher infant Slowness in Eating and lower weight-for-age z-scores. CONCLUSIONS:Appetite traits represent potential targets for early life infant feeding interventions.

To determine whether an opt-out approach is effective for referral to treatment for tobacco use, we designed a clinical reminder for nurses in a primary care setting that provides a referral for patients who smoke cigarettes. We will use a two-arm, cluster-randomized design to assign nurses at the VA New York Harbor Healthcare System to test which mode of referral (opt-in vs opt-out) is more effective. All patients will be referred to evidence-based treatment for tobacco cessation including counseling from the New York State Quitline, and VetsQuit, a text messaging-based system for tobacco cessation counseling. We will measure patient engagement with the referral both in the short and long term to determine if referral modality had an impact on tobacco cessation treatment. We will also measure nurse engagement with the referral before, during, and after the implementation of the reminder to determine whether an opt-out approach is cost effective at the health system level. At the conclusion of this project, we expect to have developed and tested an opt-out system for increasing tobacco cessation treatment for Veterans in VA primary care and to have a thorough understanding of factors associated with implementation. Trial Registration:Clinicaltrials.govIdentifierNCT03477435.

IMPORTANCE/OBJECTIVE:Most trials of behavioral or pharmaceutical interventions for people who smoke are limited to individuals reporting they are ready to quit smoking. Engaging individuals who initially report they are not yet ready to quit in brief, precessation, skills-building interventions (eg, practice quit attempts or nicotine replacement therapy [NRT] sampling) is challenging. OBJECTIVE:To test an integrated behavioral plus NRT-sampling intervention using a gamification approach supported by mobile health. DESIGN, SETTING, AND PARTICIPANTS/METHODS:A multisite randomized clinical trial with site-level 1-to-1 allocation into 2 conditions was conducted in 4 US health care systems. A total of 433 individuals who were currently smoking and reported at enrollment that they were not ready to quit smoking were enrolled. The study was conducted from November 7, 2016, to July 31, 2020. INTERVENTIONS/METHODS:Take a Break (TAB) was a 3-week game experience and included 5 behavioral components (motivational messaging, challenge quizzes, brief abstinence goal setting, mobile health apps for cravings management, and reward points for participation) integrated with NRT sampling. TAB draws on social cognitive theory and game mechanics concepts to engage participants in health behavior change. The comparison included NRT sampling only. MAIN OUTCOMES AND MEASURES/METHODS:Time to first quit attempt (duration from TAB experience to primary outcome) and carbon monoxide level-verified smoking cessation at 6-month follow-up. All analyses used an intention-to-treat approach. RESULTS:Of the 433 individuals included in the trial, 223 were women (52%); mean (SD) age was 54 (13) years. More than half (53% [112 of 213]) of the TAB participants completed 100% of the daily challenge quizzes in the first week, 73% (145 of 199) of participants who completed the goal-setting call set a brief abstinence goal (most frequently 1-2 days of abstinence from cigarettes), and 75% (159 of 213) of participants used the mobile health apps to manage nicotine cravings. Time to the first quit attempt was lower for the TAB vs comparison group (hazard ratio, 1.68; 95% CI, 1.09-2.60; P = .02). At the 6-month follow-up, 18% (28 of 160) of TAB participants and 10% (17 of 171) of the comparison (χ2 test, P = .045) participants obtained carbon monoxide level-verified smoking cessation (accounting for clustering of outcomes by site; odds ratio, 1.92; 95% CI, 1.01-3.68; P = .048). CONCLUSIONS AND RELEVANCE/CONCLUSIONS:The findings of this randomized clinical trial demonstrate that individuals not yet ready to quit smoking could be engaged in a brief abstinence game. Six months later, the TAB group had nearly double the rate of smoking cessation vs the NRT sampling comparison group. Integrating a skills-building game experience with brief NRT sampling can enhance long-term cessation among those not yet ready to quit smoking. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov Identifier: NCT02973425.