Ineffective physician-nurse collaboration has been recognised to adversely impact patient and organisational outcomes, and some studies suggest an underlying factor may be that nurses and physicians have different perceptions of interprofessional collaboration (IPC). The objectives of this study were to evaluate for a difference in the perception of IPC between physicians and nurses and to explore potential contributing factors at the individual and organisational levels to any observed difference. Data including measures of perceptions of IPC were collected from a convenience sample of resident physicians (n = 47), attending physicians (n = 18), and nurses (n = 54) providing care for internal medicine patients in a large tertiary care academic medical centre. Regression analysis revealed significantly lower perceptions of IPC scores for nurses in comparison to the scores of both the resident and attending physician groups (p = .0001 for both). Although demographic and workload factors also differed by profession, only profession and workload remained significant in regression analysis. Given the known relationships between effective physician-nurse collaboration and superior patient and organisational outcomes, better defining the individual and organisational predictors of IPC scores may support development of more effective interventions targeting improvements in IPC.

Background: There is limited evidence about the effects of dual electronic cigarette (e-cig) and combustible cigarette use on lung health or other health outcomes. Studies that have evaluated these outcomes have not included estimates of e-cig or cigarette exposure in the analyses.Materials and Methods: Data analyzed were from 263 smokers participating in a randomized controlled trial designed to encourage participants to reduce their combustible cigarette use by substituting with an e-cig or a non-electronic cigarette substitute (cig-sub). T-tests were used to evaluate changes from baseline at 1 month and 3 months in lung function, blood pressure, pulse, exhaled carbon monoxide, and weight. Linear mixed effects models were used to test associations between health outcomes and study product group, including exposure to the study products (e-cig and cig-sub times used and days used in the past 7 days) and cigarettes per day (CPD).Results: There were few significant differences between the groups for lung function indices at any time point in the unadjusted analyses. There were significant reductions in diastolic blood pressure and pulse at 1 month in the unadjusted analyses for those in the e-cig group compared to the cig-sub group. CPD decreased significantly more for the e-cig group than for the cig-sub group at both time points. There were no significant associations between any measured health outcomes and group in the linear mixed effects models.

Background The United States Food and Drug Administration has prioritized understanding the dependence potential of electronic cigarettes (e-cigs). Dependence is often estimated in part by examining frequency of use; however measures of e-cig use are not well developed because of varying product types. This study used an e-cig automatic puff counter to evaluate the value of self-reported e-cig use measures in predicting actual use (puffs). Methods Data were collected from a two-site randomized placebo-controlled trial evaluating the effects of e-cigs on toxicant exposure in smokers attempting to reduce their cigarette consumption. Participants randomized to an e-cig condition self-reported their e-cig frequency of use (times per day—one “time” consists of around 15 puffs or lasts around 10 minutes) on the Penn State Electronic Cigarette Dependence Index (PSECDI) and kept daily diary records of the number of puffs per day from the e-cig automatic puff counter. A linear mixed-effects model was used to determine the predictive value of the times per day measure. Correlations were used to further investigate the relationship. Results A total of 259 participants with 1165 observations of e-cig use were analyzed. Self-reported e-cig use in times per day was a significant predictor of e-cig puffs per day (p < .01). The Spearman correlation between measures was r equal to .58. Examination of individual participant responses revealed some potential difficulties reporting and interpreting times per day because of the difference in use patterns between cigarettes and e-cigs. Conclusion This study provides evidence that the self-reported PSECDI measure of times per day is a significant predictor of actual frequency of e-cig puffs taken. Implications Self-reported measures of e-cig frequency of use are predictive of actual use, but quantifying e-cig use in patterns similar to cigarettes is problematic.

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Adaptive Reserve (AR) is positively associated with implementing change in ambulatory settings. Deficits in AR may lead to change fatigue or burnout. We studied the association of self-reported AR and burnout among providers to hospitalized medicine patients in an academic medical center. An electronic survey containing a 23-item Adaptive Reserve scale, burnout inventory, and demographic questions was sent to a convenience sample of nurses, house staff team members, and hospitalists. A total of 119 self-administered, online surveys collected from June 2014 to March 2015 were analyzed. Ordinal regression analyses were used to examine the association between AR and burnout. Eighty percent of participants reported either level 1 or 2 burnout. Additionally, 10.9% of participants responded level 0% and 7.6% of participants reported level 3. Participants reporting higher burnout were about three times more likely to report lower AR levels. AR is strongly associated with self-reported burnout by physicians and nurses providing inpatient care at this academic medical center. Growing evidence supports the positive association of AR to successful change implementation in ambulatory settings. Similar studies are needed to determine whether certain levels of AR can predict successful change in hospital settings.