Faculty Bibliography

INTRODUCTION: Hookahs (water pipes) are rapidly increasing in popularity worldwide. Evidence suggests that although perceived as safer than cigarette smoke, hookah smoke may be as, or even more, dangerous as cigarette smoke. METHODS: Air samples from 33 homes-11 where only hookah-smoking occurred, 12 with only cigarettes and 10 with no smoking-were collected to analyse concentrations of particulate matter (PM2.5), black carbon, elemental and organic carbon and carbon monoxide (CO). Air quality was assessed in rooms where smoking occurred and in an adjacent room. RESULTS: Hookah and cigarette smoking impaired home air quality. The rooms in which hookahs were smoked showed the highest concentrations for all pollutants. CO was significantly greater in the rooms where hookahs were smoked than in the cigarette-smoking rooms and the non-smoking households (p<0.05). In addition, CO levels in the rooms adjacent to where hookah was smoked were 2.5-fold to 4-fold greater than those in the smoking and non-smoking rooms of the cigarette homes (p<0.05). PM2.5 levels were also elevated in hookah homes compared to cigarette and non-smoking homes, although not significantly different. CONCLUSIONS: This study, the first of its kind, demonstrates potentially hazardous levels of home air pollution in rooms where hookahs are being smoked as well as in adjacent rooms. These levels were greater than those in cigarette smoking homes, raising concerns about potential negative health effects on all individuals living in homes where hookahs are smoked.

The deployment of health information technologies promises to optimize clinical outcomes for populations with substance use disorders. Electronic health records, web-based counseling interventions, and mobile phone applications enhance the delivery of evidence-based behavioral and pharmacological treatments, with minimal burden to clinical personnel, infrastructure, and work flows. This clinical case shares a recent experience utilizing mobile phone text messaging between an office-based buprenorphine provider in a safety net ambulatory clinic and a patient seeking buprenorphine treatment for opioid use disorder. The case highlights the use of text message-based physician-patient communication to facilitate unobserved "home" induction onto buprenorphine.

BACKGROUND: Current guidelines advise providers to assess smokers' readiness to quit, then offer cessation therapies to smokers planning to quit and motivational interventions to smokers not planning to quit. OBJECTIVES: We examined the relationship between baseline stage of change (SOC), treatment utilization, and smoking cessation to determine whether the effect of a proactive smoking cessation intervention was dependent on smokers' level of motivation to quit. DESIGN: Secondary analysis of a multicenter randomized controlled trial. PARTICIPANTS: A total of 3006 current smokers, aged 18-80 years, at four Veterans Affairs (VA) medical centers. INTERVENTIONS: Proactive care included proactive outreach (mailed invitation followed by telephone outreach), offer of smoking cessation services (telephone or face-to-face), and access to pharmacotherapy. Usual care participants had access to VA smoking cessation services and state telephone quitlines. MAIN MEASURES: Baseline SOC measured with Readiness to Quit Ladder, and 6-month prolonged abstinence self-reported at 1 year. KEY RESULTS: At baseline, 35.8 % of smokers were in preparation, 38.2 % in contemplation, and 26.0 % in precontemplation. The overall interaction between SOC and treatment arm was not statistically significant (p = 0.30). Among smokers in preparation, 21.1 % of proactive care participants achieved 6-month prolonged abstinence, compared to 13.1 % of usual care participants (OR, 1.8 [95 % CI, 1.2-2.6]). Similarly, proactive care increased abstinence among smokers in contemplation (11.0 % vs. 6.5 %; OR, 1.8 [95 % CI, 1.1-2.8]). Smokers in precontemplation quit smoking at similar rates (5.3 % vs. 5.6 %; OR, 0.9 [95 % CI, 0.5-1.9]). Within each stage, uptake of smoking cessation treatments increased with higher SOC and with proactive care as compared with usual care. LIMITATIONS: Mostly male participants limits generalizability. Randomization was not stratified by SOC. CONCLUSIONS: Proactive care increased treatment uptake compared to usual care across all SOC. Proactive care increased smoking cessation among smokers in preparation and contemplation but not in precontemplation. Proactively offering cessation therapies to smokers at all SOC will increase treatment utilization and population-level smoking cessation.

Publisher: Abstract available from the publisher. OABL- fre

OBJECTIVE: To determine the frequency of appropriate and inappropriate prostate cancer imaging in an integrated health care system. DATA SOURCES/STUDY SETTING: Veterans Health Administration Central Cancer Registry linked to VA electronic medical records and Medicare claims (2004-2008). STUDY DESIGN: We performed a retrospective cohort study of VA patients diagnosed with prostate cancer (N = 45,084). Imaging (CT, MRI, bone scan, PET) use was assessed among patients with low-risk disease, for whom guidelines recommend against advanced imaging, and among high-risk patients for whom guidelines recommend it. PRINCIPAL FINDINGS: We found high rates of inappropriate imaging among men with low-risk prostate cancer (41 percent) and suboptimal rates of appropriate imaging among men with high-risk disease (70 percent). Veterans utilizing Medicare-reimbursed care had higher rates of inappropriate imaging [OR: 1.09 (1.03-1.16)] but not higher rates of appropriate imaging. Veterans treated in middle [OR: 0.51 (0.47-0.56)] and higher [OR: 0.50 (0.46-0.55)] volume medical centers were less likely to undergo inappropriate imaging without compromising appropriate imaging. CONCLUSIONS: Our results highlight the overutilization of imaging, even in an integrated health care system without financial incentives encouraging provision of health care services. Paradoxically, imaging remains underutilized among high-risk patients who could potentially benefit from it most.