The objectives of the study were to evaluate the psychometric properties and appropriateness of instruments for the study of resilience in adolescents. A search was completed using the terms resilience and instruments or scales using the EBSCO database (CINAHL, PreCINAHL, and Academic Search Premier), MEDLINE, PsychINFO and PsychARTICLES, and the Internet. After instruments were identified, a second search was performed for studies reporting the psychometric development of these instruments. Using inclusion and exclusion criteria, six psychometric development of instrument studies were selected for a full review. A data extraction table was used to compare the six instruments. Two of the six instruments (Baruth Protective Factors Inventory [BPFI] and Brief-Resilient Coping Scale) lacked evidence that they were appropriate for administration with the adolescent population due to lack of research applications. Three instruments (Adolescent Resilience Scale [ARS], Connor-Davidson Resilience Scale, and Resilience Scale for Adults) had acceptable credibility but needed further study in adolescents. One instrument (Resilience Scale [RS]) was determined to be the best instrument to study resilience in the adolescent population due to psychometric properties of the instrument and applications in a variety of age groups, including adolescence. Findings of this review indicate that the RS is the most appropriate instrument to study resilience in the adolescent population. While other instruments have potential (e.g., ARS, BPFI) as they were tested in the adolescent and young adult populations, they lack evidence for their use at this time. An evaluation of the review and recommendations are discussed.

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Background Endotracheal tube cuff pressure must be kept within an optimal range that ensures ventilation and prevents aspiration while maintaining tracheal perfusion. Objectives To test the effect of an intervention (adding or removing air) on the proportion of time that cuff pressure was between 20 and 30 cm H2O and to evaluate changes in cuff pressure over time. Methods A repeated-measure crossover design was used to study 32 orally intubated patients receiving mechanical ventilation for two 12-hour shifts (randomized control and intervention conditions). Continuous cuff pressure monitoring was initiated, and the pressure was adjusted to a minimum of 22 cm H2O. Caregivers were blinded to cuff pressure data, and usual care was provided during the control condition. During the intervention condition, cuff pressure alarm or clinical triggers guided the intervention. Results Most patients were men (mean age, 61.6 years). During the control condition, 51.7% of cuff pressure values were out of range compared with 11.1% during the intervention condition (P < .001). During the intervention, a mean of 8 adjustments were required, mostly to add air to the endotracheal tube cuff (mean 0.28 [SD, 0.13] mL). During the control condition, cuff pressure decreased over time (P < .001). Conclusions The intervention was effective in maintaining cuff pressure within an optimal range, and cuff pressure decreased over time without intervention. The effect of the intervention on outcomes such as ventilator-associated pneumonia and tracheal damage requires further study.

ABSTRACT. Objective: This study tested the effectiveness of brief primary care provider interventions delivered in a college student health center to a sample of college students who screened positive for highrisk drinking. Method: Between November 2005 and August 2006, 8,753 students who presented as new patients to the health service at a large public university were screened for high-risk drinking, and 2,484 students (28%) screened positive on the 5/4 gender-specifi c high-risk drinking question (i.e., fi ve or more drinks per occasion for men and four or more for women). Students who screened positive for high-risk drinking and consented to participate (N = 363; 52% female) were randomly assigned either to a control group (n = 182) or to an experimental group (n = 181). Participants in the experimental group received two brief intervention sessions that were founded in motivational interviewing techniques and delivered by four specially trained providers within the student health center. Data on alcohol use and related harms were obtained from a Web-based Healthy Lifestyle Questionnaire, 30-day Timeline Followback alcohol-use diaries, the Rutgers Alcohol Problem Index (RAPI), and eight items from the Drinker Inventory of Consequences-2L. Results: Repeated measures analysis showed that, compared with the control group (C), the intervention group (I) had signifi cant reductions in typical estimated blood alcohol concentration (BAC) (C = .071 vs I = .057 at 3 months; C = .073 vs I = .057 at 6 months), peak BAC (C = .142 vs I = .112 at 3 months; C = .145 vs I = .108 at 6 months), peak number of drinks per sitting (C = 8.03 vs I = 6.87 at 3 months; C = 7.98 vs I = 6.52 at 6 months), average number of drinks per week (C = 9.47 vs I = 7.33 at 3 months; C = 8.90 vs I = 6.16 at 6 months), number of drunk episodes in a typical week (C = 1.24 vs I = 0.85 at 3 months; C = 1.10 vs I = 0.71 at 6 months), number of times taken foolish risks (C = 2.24 vs I = 1.12 at 3 months), and RAPI sum scores (C = 6.55 vs I = 4.96 at 6 months; C = 6.17 vs I = 4.58 at 9 months). Conclusions: Brief interventions delivered by primary care providers in a student health center to high-risk-drinking students may result in signifi cantly decreased alcohol consumption, high-risk drinking, and alcohol-related harms. (J. Stud.

Background Endotracheal tube cuff pressure must be maintained within a narrow therapeutic range to prevent complications. Cuff pressure is measured and adjusted intermittently. Objectives To assess the accuracy and feasibility of continuous monitoring of cuff pressure, describe changes in cuff pressure over time, and identify clinical factors that influence cuff pressure. Methods In a pilot study, data were collected for a mean of 9.3 hours on 10 patients who were orally intubated and receiving mechanical ventilation. Sixty percent of the patients were white, mean age was 55 years, and mean intubation time was 2.8 days. The initial cuff pressure was adjusted to a minimum of 20 cm H 2 O. The pilot balloon of the endotracheal tube was connected to a transducer and a pressure monitor. Cuff pressure was recorded every 0.008 seconds during a typical 12-hour shift and was reduced to 1-minute means. Patient care activities and interventions were recorded on a personal digital assistant. Results Values obtained with the cufflator-manometer and the transducer were congruent. Only 54% of cuff pressure measurements were within the recommended range of 20 to 30 cm H 2 O. The cuff pressure was high in 16% of measurements and low in 30%. No statistically significant changes over time were noted. Endotracheal suctioning, coughing, and positioning affected cuff pressure. Conclusions Continuous monitoring of cuff pressure is feasible, accurate, and safe. Cuff pressures vary widely among patients.