Predictors and Delays Associated with the Need for Advanced Techniques for Intravenous Access.

BACKGROUND: The need for advanced techniques for intravenous access (ATIVA) can lead to delays in care and contribute to emergency department (ED) crowding. OBJECTIVE: In this article, we estimate the delay and predictors associated with the need for ATIVA. METHODS: In this case-control study, we collected data from ED cases requiring ATIVA and control patients in whom i.v. access was gained by traditional inspection and palpation. We included two control groups-a random retrospective sample and a prospective limited convenience sample. We collected time and acuity data from all groups and data on predictor variables from cases and prospective controls. We analyzed time data using quartile regression and predictor variable data using contingency table analysis and logistic regression. RESULTS: We collected data from 116 cases (91 of which had time interval data), 98 retrospective controls, and 144 prospective controls. The median time from triage to i.v. line establishment was 199 min for cases vs. 64 min for prospective controls and 81 min for retrospective controls. The need for ATIVA was associated with a 1.1-greater quartile time interval (95% confidence interval [CI] 0.8-1.3). Two variables-i.v. drug use (IVDU; odds ratio 3.7; 95% CI 1.8-7.3) and prior need for ATIVA (odds ratio 5.2; 95% CI 2.7-9.8)-were associated with a need for ATIVA; obesity, renal failure, and diabetes were not. CONCLUSIONS: The need for ATIVA increases median time to i.v. line placement by 118 to 135 min compared with traditional inspection and palpation. IVDU and prior need for an advanced technique are associated with a need for ATIVA.

Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital.

BACKGROUND: Airborne microorganisms within the hospital environment can potentially cause infection in susceptible patients. The objectives of this study were to identify, quantify, and determine the nosocomial potential of common airborne microorganisms present within a small animal teaching hospital. METHODS: Bioaerosol sampling was done initially in all 11 rooms and, subsequently, weekly samples were taken from selected rooms over a 9-week period. Samples were collected twice (morning and afternoon) at each site on each sampling day. The rooms were divided into two groups: Group 1, in which morning sampling was post-cleaning and afternoon sampling was during activity, and Group 2, in which morning sampling was pre-cleaning and afternoon sampling was post-cleaning. The total aerobic bacterial plate counts per m(3) and bacterial identification were done using standard microbiological methods. RESULTS: A total of 14 bacterial genera were isolated with the most frequent being Micrococcus spp. followed by species of Corynebacterium, Bacillus, and Staphylococcus. There was a significant interaction between location and time for rooms in Group 1 (p=0.0028) but not in Group 2 (p>0.05). Microbial counts for rooms in Group 2 were significantly greater in the mornings than in the afternoon (p=0.0049). The microbial counts were also significantly different between some rooms (p=0.0333). CONCLUSION: The detection of significantly higher airborne microbial loads in different rooms at different times of the day suggests that the probability of acquiring nosocomial infections is higher at these times and locations.