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Objective: To gather data about occupancy, admission characteristics, patients' ages, and types of therapy utilized in ICUs in the United States., Design and Setting: Survey instruments were mailed to the administrators of 4,233 hospitals to gather information from the medical director of the institutions' respective ICUs for the purpose of developing a database on ICUs in the United States. The sampling frame for this study was based on all American Hospital Association (AHA) hospitals stating they had ICUs., Measurements: Census questionnaires solicited information on occupancy, where the patients were admitted from, length of stay, therapies rendered, intensive care diagnoses, and resuscitation status, as well as other information., Main Results: Data were obtained regarding 32,850 ICU beds, with 25,871 patients from 2,876 separate ICUs in 1,706 hospitals in the United States. The census response rate was 40% of the AHA hospitals that stated they had ICUs, with specific ICU data on 38.7% of the nation's ICUs. Overall, the responding units reported a mean occupancy rate of 84% of total bed capacity and 87% of available beds. As hospital size increased, so did ICU occupancy. Nearly 17% of all of the critical care patients had been in the units for > 14 days. More precisely, 49% of all responding units indicated that they had one or more "chronic" (> 14-day length of stay) patients. Most patients were admitted to the units from the emergency room (38%), operating room/postanesthesia care unit (22%), and the general hospital floor (16%). Neonatal units were exceptions to this observation, where most patients came from the delivery room (60%). Admission from other hospitals represented a significantly larger group of patients in the cardiac care, pediatric, and neonatal units. Respondents indicated that many of their current patients were elderly, with 43% of these patients aged 65 to 84 yrs and with 4% being > or = 85 yrs of age. The 47% of patients > or = 65 yrs of age increased to 58% when the neonatal and pediatric units were eliminated from the analyses. For all units responding to the survey, the leading primary admitting intensive care diagnoses were postoperative management, ischemic heart disorder, respiratory insufficiency/failure, and prematurity. Elimination of units predominantly treating children (pediatric and neonatal) from the analysis left "adult" units with three primary admitting diagnoses: ischemic heart disease, postoperative management, and respiratory insufficiency/failure with variation according to specific unit type. The leading diagnoses in pediatric units were respiratory insufficiency/failure, postoperative management, and congenital abnormalities. For neonatal units, prematurity was the primary admitting diagnosis, accounting for 59% of these units' patients. Respondents reported 5.3 +/- 10.9% of patients had received cardiopulmonary resuscitation (CPR) before admission into the critical care unit. Only 6.0 +/- 11.9% of patients in these critical care units had instructions that CPR not be performed while in the unit., Conclusions: This report should be viewed as the beginning step of an effort to improve both the information base available on critical care medicine and the performance of ICUs. Our survey findings provide an introduction into the everyday workings of critical care units throughout the United States. Research is required to determine which patients will benefit from intensive care and how to efficiently utilize the vast technology we have available for them in a world with limited financial resources, an aging population, and a multiplicity of societal and ethical concerns.

Objective: To gather data about available technology, staffing, administrative policies, and bed capacities of ICUs in the United States., Design and Setting: On January 15, 1991, survey instruments were mailed to the administrators of 4,233 hospitals to gather information from the medical director of the institutions' respective ICUs for the purpose of developing a database on ICUs in the United States. The sampling frame for this study was based on all American Hospital Association (AHA) hospitals that stated they have ICUs., Measurements: Census questionnaires solicited information on types of hospitals, types of ICUs, number of ICU beds open and closed, technology available to the unit, organizational structure and management of the ICU, as well as the staffing and certification of unit personnel., Main Results: Data were obtained on 32,850 ICU beds with 25,871 patients from 2,876 separate ICUs in 1,706 hospitals in the United States. Census responses came from units in all sizes of hospitals within all ten census regions in the country, all states, and all types of hospital sponsorship (federal, state, and local government, private nonprofit and private for profit). The census response rate was 40% of the AHA hospitals that stated that they have ICUs, with specific ICU data on 38.7% of the nation's ICUs. The number of ICUs per hospital increases with overall hospital size. The smallest hospitals (less than 100 beds) usually had only one ICU. As hospital size increased, the single, all inclusive medical/surgical/coronary care units diminished, and in hospitals with greater than 300 beds, specialization of units became prevalent. In absolute terms, hospitals had the following number of ICUs: 1.04 +/- 0.20 (less than or equal to 100 beds); 1.30 +/- 0.65 (101 to 300 beds); 2.37 +/- 1.58 (301 to 500 beds); and 3.34 +/- 2.21 (greater than 500 beds). ICU beds averaged, nationally, 8.09% of hospital-licensed beds with a median of 6.98%. Generally, medical units, pediatric units, coronary care units (CCUs), and medical/surgical/CCUs reported an average of 10 beds per unit. Neonatal units averaged 21 beds, and surgical units averaged 12 beds. The average ICU size, nationally, was 11.7 +/- 7.8 beds per unit. Available technology within hospitals and individual units was increased as hospital size increased; surgical units tended to have more available technology than other unit types. A wide range of organizational arrangements within hospitals determines where the ICU appears in an organizational chart and to whom unit management is accountable. Thirty-six percent of the units were located organizationally within the hospital's department of medicine, while 23% were considered "free standing," having no departmental affiliation. Although units must have a medical director, the perception as to whether this director supervises the day-to-day operation was different in larger vs. smaller hospitals. In hospitals with less than or equal to 100 beds, 72% of the units were perceived to be supervised by the medical director, whereas in larger hospitals (greater than 500 beds), 81% of units were supervised. Study results indicated that medical directors in pediatric, neonatal, and burn units most often were perceived to supervise the unit. Presently, 63% of all ICUs responding are directed by an internist. The next largest group to direct ICUs were surgeons, followed by pediatricians. Pediatrician involvement tended to be exclusive in pediatric and neonatal units. Surgeons directed most surgical and neurologic units and were involved in 21% of mixed medical/surgical units. Internists predominated in medical units and in CCUs, as well as in combined medical/surgical/CCUs. Direction by anesthesiologists, although relatively infrequent, predominated in the surgical unit. Critical care medicine certification of the medical director and attending staff of the ICU increased as hospital size increased, although only 44% of all units stated that thei

The Mega Code is a simulated cardiac arrest during which students practice as members of a team and learn to integrate the knowledge and skills of advanced cardiac life support (ACLS). This study used the Mega Code and American Heart Association (AHA) standards to evaluate 32 medical residents (MDs) and nine critical care nurses (RNs) in the role of ACLS team leader. All had been previously trained in ACLS. The testing sequence included ventricular fibrillation (VF) refractory to initial countershock (defib), asystole after second defib, recurrent VF after drug therapy, and finally sinus rhythm after third defib. A blood gas report indicated respiratory acidosis and hypoxemia. Assessment of patient status was poor in both groups, although MDs did significantly (p = .001) better than RNs. Other problem areas were drug therapy and trouble-shooting are not adequately stressed in the AHA ACLS curriculum; moreover, there is no lecture that specifically addresses the team approach to resuscitation and the role of team leader. We found that the Mega Code effectively evaluated individual and group performance. Results of objective-based Mega Code testing can be used both to improve ACLS curriculum and to indicate areas to be stressed during refresher training.