Association between operational indexes and the utilization rate of a general surgery center

This is a prospective study that focused on the dynamics of operating rooms using operational indexes that measure optimization, resistance, overload and utilization of the surgical unit, and also identified the factors most associated with these indexes. A total of 1,908 surgeries were analyzed over a period of two months in 2007. The average rates of utilization, optimization and resistance indexes were 80.41%, 65.35% and 34.65% respectively. The difference between the positive and negative overload index was low (5.42%). Operating room rescheduling and delays were the variables that contributed the most to the increase in these indexes. In the linear regression statistical model, the utilization rate was found to be the first common variable selected in the overload, resistance and optimization indexes. It is essential to work on these operational indexes with a view to obtain satisfactory results in the management of the surgical center, with well-defined work processes and teamwork.Se trata de un estudio prospectivo que analizó la dinámica de las salas quirúrgicas a través de índices operacionales que miden la optimización, resistencia, sobrecarga y ocupación del centro quirúrgico, y también identificó los factores que más se asociaron a esos índices. Fueron analizadas 1.908 cirugías, durante dos meses en el año de .2007. La tasa de ocupación y los índices de optimización y resistencia promedios encontrados fueron 80,41, 65,35 y 34,65%, respectivamente. La diferencia entre el índice de sobrecarga positivo y negativo fue bajo (5,42%). El cambio de sala y el atraso, respectivamente, fueron las variables que más contribuyeron para la elevación de esos índices. En la prueba estadística de regresión linear se observó que la tasa de ocupación fue la primera variable común seleccionada tanto en los índices de sobrecarga, resistencia y optimización. Es fundamental la actuación sobre eses índices operacionales para obtener resultados satisfactorios en la administración del centro quirúrgico, con procesos bien definidos y trabajo en equipo.Estudo prospectivo que analisou a dinâmica das salas cirúrgicas através de índices operacionais que medem a otimização, resistência, sobrecarga e ocupação do centro cirúrgico, e também identificou os fatores que mais se associaram a esses índices. Foram analisadas 1908 cirurgias, durante dois meses de 2007. A taxa de ocupação e os índices de otimização e resistência médios encontrados foram 80,41, 65,35 e 34,65%, respectivamente. A diferença entre o índice de sobrecarga positivo e negativo foi baixo (5,42%). O remanejamento de sala e o atraso, respectivamente, foram as variáveis que mais contribuíram para a elevação desses índices. No teste estatístico de regressão linear observou-se que a taxa de ocupação foi a primeira variável comum selecionada tanto nos índices de sobrecarga, resistência como otimização. É fundamental a atuação sobre esses índices operacionais para se obter resultados satisfatórios no gerenciamento do centro cirúrgico, com processos bem definidos e trabalho em equipe

Prospective, multidisciplinary recording of perioperative errors in cerebrovascular surgery: is error in the eye of the beholder?

Objective Surgery requires careful coordination of multiple team members, each playing a vital role in mitigating errors. Previous studies have focused on eliciting errors from only the attending surgeon, likely missing events observed by other team members. methods Surveys were administered to the attending surgeon, resident surgeon, anesthesiologist, and nursing staff immediately following each of 31 cerebrovascular surgeries; participants were instructed to record any deviation from optimal course (DOC). DOCs were categorized and sorted by reporter and perioperative timing, then correlated with delays and outcome measures. results Errors were recorded in 93.5% of the 31 cases surveyed. The number of errors recorded per case ranged from 0 to 8, with an average of 3.1 ± 2.1 errors (± SD). Overall, technical errors were most common (24.5%), followed by communication (22.4%), management/judgment (16.0%), and equipment (11.7%). The resident surgeon reported the most errors (52.1%), followed by the circulating nurse (31.9%), the attending surgeon (26.6%), and the anesthesiologist (14.9%). The attending and resident surgeons were most likely to report technical errors (52% and 30.6%, respectively), while anesthesiologists and circulating nurses mostly reported anesthesia errors (36%) and communication errors (50%), respectively. The overlap in reported errors was 20.3%. If this study had used only the surveys completed by the attending surgeon, as in prior studies, 72% of equipment errors, 90% of anesthesia and communication errors, and 100% of nursing errors would have been missed. In addition, it would have been concluded that errors occurred in only 45.2% of cases (rather than 93.5%) and that errors resulting in a delay occurred in 3.2% of cases instead of the 74.2% calculated using data from 4 team members. Compiled results from all team members yielded significant correlations between technical DOCs and prolonged hospital stays and reported and actual delays (p = 0.001 and p = 0.028, respectively). coNclusioNs This study is the only of its kind to elicit error reporting from multiple members of the operating team, and it demonstrates error is truly in the eye of the beholder-the types and timing of perioperative errors vary based on whom you ask. The authors estimate that previous studies surveying only the attending physician missed up to 75% of perioperative errors. By finding significant correlations between technical DOCs and prolonged hospital stays and reported and actual delays, this study shows that these surveys provide relevant and useful information for improving clinical practice. Overall, the results of this study emphasize that research on medical error must include input from all members of the operating team; it is only by understanding every perspective that surgical staff can begin to efficiently prevent errors, improve patient care and safety, and decrease delays

Improving detection of patient deterioration in the general hospital ward environment

International audience: Patient monitoring on low acuity general hospital wards is currently based largely on intermittent observations and measurements of simple variables, such as blood pressure and temperature, by nursing staff. Often several hours can pass between such measurements and patient deterioration can go unnoticed. Moreover, the integration and interpretation of the information gleaned through these measurements remains highly dependent on clinical judgement. More intensive monitoring, which is commonly used in peri-operative and intensive care settings, is more likely to lead to the early identification of patients who are developing complications than is intermittent monitoring. Early identification can trigger appropriate management, thereby reducing the need for higher acuity care, reducing hospital lengths of stay and admission costs and even, at times, improving survival. However, this degree of monitoring has thus far been considered largely inappropriate for general hospital ward settings due to device costs and the need for staff expertise in data interpretation. In this review, we discuss some developing options to improve patient monitoring and thus detection of deterioration in low acuity general hospital wards