Therapeutic Intervention Scoring System Points Research Articles

Effect of mortality prediction models on resource use benchmarking of intensive care units

PurposeIntensive care requires extensive resources. The ICUs' resource use can be compared using standardized resource use ratios (SRURs). We assessed the effect of mortality prediction models on the SRURs. Materials and methodsWe compared SRURs using different mortality prediction models: the recent Finnish Intensive Care Consortium (FICC) model and the SAPS-II model (n = 68,914 admissions). We allocated the resources to severity of illness strata using deciles of predicted mortality. In each risk and year stratum, we calculated the expected resource use per survivor from our modelling approaches using length of ICU stay and Therapeutic Intervention Scoring System (TISS) points. ResultsResource use per survivor increased from one length of stay (LOS) day and around 50 TISS points in the first decile to 10 LOS-days and 450 TISS in the tenth decile for both risk scoring systems. The FICC model predicted mortality risk accurately whereas the SAPS-II grossly overestimated the risk of death. Despite this, SRURs were practically identical and consistent. ConclusionsSRURs provide a robust tool for benchmarking resource use within and between ICUs. SRURs can be used for benchmarking even if recently calibrated risk scores for the specific population are not available.

Dexmedetomidine versus standard care sedation with propofol or midazolam in intensive care: an economic evaluation.

IntroductionDexmedetomidine was shown in two European randomized double-blind double-dummy trials (PRODEX and MIDEX) to be non-inferior to propofol and midazolam in maintaining target sedation levels in mechanically ventilated intensive care unit (ICU) patients. Additionally, dexmedetomidine shortened the time to extubation versus both standard sedatives, suggesting that it may reduce ICU resource needs and thus lower ICU costs. Considering resource utilization data from these two trials, we performed a secondary, cost-minimization analysis assessing the economics of dexmedetomidine versus standard care sedation.MethodsThe total ICU costs associated with each study sedative were calculated on the basis of total study sedative consumption and the number of days patients remained intubated, required non-invasive ventilation, or required ICU care without mechanical ventilation. The daily unit costs for these three consecutive ICU periods were set to decline toward discharge, reflecting the observed reduction in mean daily Therapeutic Intervention Scoring System (TISS) points between the periods. A number of additional sensitivity analyses were performed, including one in which the total ICU costs were based on the cumulative sum of daily TISS points over the ICU period, and two further scenarios, with declining direct variable daily costs only.ResultsBased on pooled data from both trials, sedation with dexmedetomidine resulted in lower total ICU costs than using the standard sedatives, with a difference of €2,656 in the median (interquartile range) total ICU costs—€11,864 (€7,070 to €23,457) versus €14,520 (€7,871 to €26,254)—and €1,649 in the mean total ICU costs. The median (mean) total ICU costs with dexmedetomidine compared with those of propofol or midazolam were €1,292 (€747) and €3,573 (€2,536) lower, respectively. The result was robust, indicating lower costs with dexmedetomidine in all sensitivity analyses, including those in which only direct variable ICU costs were considered. The likelihood of dexmedetomidine resulting in lower total ICU costs compared with pooled standard care was 91.0% (72.4% versus propofol and 98.0% versus midazolam).ConclusionsFrom an economic point of view, dexmedetomidine appears to be a preferable option compared with standard sedatives for providing light to moderate ICU sedation exceeding 24 hours. The savings potential results primarily from shorter time to extubation.Trial registrationClinicalTrials.gov NCT00479661 (PRODEX), NCT00481312 (MIDEX).Electronic supplementary materialThe online version of this article (doi:10.1186/s13054-015-0787-y) contains supplementary material, which is available to authorized users.

Patient Outcomes Can Be Associated With Organizational Changes

We report the results of a university surgical intensive care (SICU), which are influenced by a reorganization of the department because of a downsizing of beds with the corresponding reduction of personnel resulting in a decrease in nurse-to-bed ratio. Moreover, we report the subsequent interventions and adjustments resulting in favorable results. We performed a prospective observational cohort study of all consecutive surgical patients entering the SICU of our hospital, over the period 2000-2004. In order to meet the budget cuts, a reduction of number of SICU beds with a corresponding reduction of nursing staff was implemented. In the subsequent period culminating on the year 2002, collaboration problems arose between medical and nursing staff: resulting in fierce discussions on the floor. Supported through external mediators, structures/work ethics/communication/collaborative behavior, and organization of the SICU were reviewed and restructured. A total of 1477 patients were admitted to the SICU. The characteristics, Acute Physiology and Chronic Health Evaluation II score and therapeutic intervention scoring system points, were not different throughout the years. The intensive care unit-length of stay (ICU-LOS) in the admission year 2002 was significantly longer (P = .001) and the crude ICU mortality was higher (P = .02) compared with the 2 admission years before. The adjusted mortality (ICU standardized mortality ratio) was also worse in 2002, however, statistically not different. After the intervention (2003 and 2004), a better result (crude ICU mortality, length of ICU stay, and ICU standardized mortality ratio) was achieved. Intensive care reorganization, in which higher workload is seen in medical and nursing staff, could have a negative effect on ICU outcome and length of ICU stay. Interventions in ICU structures, communication, work ethics, and organization have a positive impact in conflict management.

Resource use and outcome in critically ill patients with hematological malignancy: a retrospective cohort study

IntroductionThe paucity of data on resource use in critically ill patients with hematological malignancy and on these patients' perceived poor outcome can lead to uncertainty over the extent to which intensive care treatment is appropriate. The aim of the present study was to assess the amount of intensive care resources needed for, and the effect of treatment of, hemato-oncological patients in the intensive care unit (ICU) in comparison with a nononcological patient population with a similar degree of organ dysfunction.MethodsA retrospective cohort study of 101 ICU admissions of 84 consecutive hemato-oncological patients and 3,808 ICU admissions of 3,478 nononcological patients over a period of 4 years was performed.ResultsAs assessed by Therapeutic Intervention Scoring System points, resource use was higher in hemato-oncological patients than in nononcological patients (median (interquartile range), 214 (102 to 642) versus 95 (54 to 224), P < 0.0001). Severity of disease at ICU admission was a less important predictor of ICU resource use than necessity for specific treatment modalities. Hemato-oncological patients and nononcological patients with similar admission Simplified Acute Physiology Score scores had the same ICU mortality. In hemato-oncological patients, improvement of organ function within the first 48 hours of the ICU stay was the best predictor of 28-day survival.ConclusionThe presence of a hemato-oncological disease per se is associated with higher ICU resource use, but not with increased mortality. If withdrawal of treatment is considered, this decision should not be based on admission parameters but rather on the evolutional changes in organ dysfunctions.

"Oldest old" patients in intensive care: prognosis and therapeutic activity

In view of ethical considerations and the limited resources in intensive care medicine, the present investigation aims to give a descriptive overview of the prognosis and therapeutic activity for the oldest age group of elderly patients admitted to an intensive care unit (ICU) in comparison with younger ICU patients. 3069 patients admitted to the ICU during a seven-year period were categorized into four age groups: under 65 years (48%), 65 to 74 years (26%), 75 to 85 years (22%) and 85 years or older (5%). Type and reason for ICU admission, length of ICU stay, severity of illness as measured by the simplified acute physiology score (SAPS)-II, level of provided care as measured by the simplified therapeutic intervention scoring system (TISS)-28, and vital status at the date of ICU discharge were recorded. The ICU mortality rate of patients aged 85 years or older was significantly higher than in patients under 65 (OR of mortality: 1.8, p < 0.001). Non-survivors had higher SAPS II levels (even when excluding age points) in all age groups, but higher daily average TISS points only in patients under 85. The daily average TISS score was negatively correlated to age (r = -0.03; p < 0.001) and was significantly lower in the oldest group when compared with all the younger groups (p < 0.001). The oldest patients had a significantly shorter length of stay (median: 2; interquartile range [IQR] 1-3, p < 0.001) than the younger patient groups. Within the very elderly population, age is an important and independent predictor of mortality, but acute severity of illness is even more strongly associated with mortality. Consequently, age alone may be an inappropriate criterion for allocation of ICU resources.

Prognostic Analysis of Patients with Blunt Chest Trauma Admitted to an Intensive Care Unit

Predictors of mortality in blunt chest trauma patients have mostly been studied by univariate analysis. This study used multivariate analysis to identify the independent predictors in these patients admitted to a surgical intensive care unit (SICU). One hundred and twenty-seven blunt thoracic trauma patients consecutively admitted to a SICU were enrolled and evaluated by quantified injury severity scores including Acute Physiology and Chronic Health Evaluation II (APACHE II), Glasgow Coma Scale (GCS), Therapeutic Intervention Scoring System (TISS) and Injury Severity Score (ISS). Incidence of thoracic and extrathoracic injuries, transfusion and resuscitation volumes, PaO2/FIO2 ratio and the presence of shock were also evaluated. In the univariate analysis, clinical characteristics of survivors (n = 113) and non-survivors (n = 14) at admission were similar regarding age, gender, incidence of intrathoracic injuries and extrathoracic injuries and ISS. The following variables were higher for non-survivors: APACHE II score, 19 +/- 6 vs.12 +/- 6 (p = 0.002); TISS points, 39 +/- 13 vs. 29 +/- 15 (p = 0.019); the presence of shock, 93% vs. 42% (p < 0.001). Non-survivors also had lower GCS, 8 +/- 5 vs.14 +/- 3 (p < 0.001), and PaO2/FIO2 ratio, 211 +/- 124 vs. 340 +/- 145 (p = 0.002). Of the shock patients, they had significantly higher volumes of blood transfusions and fluid resuscitations (p < 0.001) and a higher incidence of abdominal injuries (p = 0.031) and mortality rate (p < 0.001) than non-shock patients. Multivariate logistic regression analysis identified three independent risk factors of mortality: GCS (adjusted odds ratio [OR], 0.76; 95% confidence interval [CI], 0.64-0.89; p = 0.001), PaO2/FIO2 ratio (adjusted OR, 0.75; 95% CI, 0.58-0.98; p = 0.036) and shock (adjusted OR, 3.8; 95% CI, 1.24-11.69; p = 0.020). Blunt chest trauma was usually associated with injuries of other organ systems, especially of the abdomen and head. Besides a decreased PaO2/FIO2, a lower GCS and a presence of shock were also independent prognostic predictors of mortality for these patients admitted to the ICU.

Healthcare costs and long-term outcomes after acute respiratory distress syndrome: A phase III trial of inhaled nitric oxide*

To determine the costs and long-term outcomes of acute respiratory distress syndrome (ARDS) in previously healthy adults. To determine whether treatment with inhaled nitric oxide affects these costs and outcomes. One-year follow-up of a randomized trial of inhaled nitric oxide. Hospital bills were collected, and follow-up was performed at hospital discharge, 6 months, and 1 year. Forty-six U.S. centers. Three hundred and eighty-five previously healthy adults with ARDS. Subjects were randomized to 5 ppm inhaled nitric oxide or placebo gas. One-year survival was 67.8%, with no difference by treatment arm (67.3% vs. 68.3% for inhaled nitric oxide vs. placebo, p = .71). Hospital costs from enrollment to discharge were high and similar in the inhaled nitric oxide and placebo arms ($48,500 vs. $47,800, p = 0.8). There were also no differences in length of stay or Therapeutic Intervention Scoring System points. Almost half (43.4%) of subjects were discharged to another healthcare facility or to home with professional help, and 24.1% were readmitted in 6 months, with no differences between groups. At 1 year, survivors reported low quality of life with no differences by treatment arm (Quality of Well-Being score [range 0-1], 0.61 vs. 0.64 for inhaled nitric oxide vs. placebo, p = .11) and poor function with no differences by treatment arm (32.5% returned to </=5 points of baseline Activities of Daily Living [range 0-100], 63.3% returned to </=10 points, and the remaining 36.7% suffered a mean decrement of 27 points). ARDS, even in previously healthy adults, not only is followed by poor survival, quality of life, and function but also is associated with high costs of care and postdischarge resource use. Inhaled nitric oxide at 5 ppm had no effect on these outcomes.

Quality, cost, and outcome of intensive care in a public hospital in Bombay, India.

To study the quality, cost, and benefits of intensive care in a public hospital in Bombay, India. Prospective collection of data. Seventeen-bed medical-neurology-neurosurgery intensive care unit (ICU) of a municipal teaching hospital. A total of 993 consecutive ICU patients during a 16-month period. None. The 993 patients aged 36.5 +/- 16 yrs (mean +/- SD) had a day-1 Acute Physiology and Chronic Health Evaluation (APACHE) II score of 14.9 +/- 9.6 (mean +/- SD), with a predicted mortality of 21.7%; the observed mortality was 36.2% (standardized mortality ratio = 1.67). The day-1 Therapeutic Intervention Scoring System (TISS) points were 17.7 +/- 6.2 (mean +/- SD), and total TISS points per patient were 87.6 +/- 110 (mean +/- SD). Nurse-to-patient ratio in the ICU was 3:17 and the average workload per nurse was 64.2 TISS points. The average length of stay was 5.5 days (SD = 7.1 days). The overall cost of treating 993 patients was, in Indian rupees (Rs), Rs 107,79,209 (U.S. $307,997), and cost per patient per day was Rs 1,973 (U.S. $57). The cost per survivor was Rs 17,029 (U.S. $487) and cost per TISS point was Rs 90.14 (U.S. $2.57). The low cost per TISS point was attributable to the reuse of disposable equipment and lower cost of drugs and salaries for medical and paramedical staff. Intensive care in India is cheaper than in the West; however, mortality is 1.67 times that for patients with similar APACHE II scores in ICUs in the United States. This finding may be attributable to the lesser intensity of care per patient (lower day-1 TISS points), lower nurse-to-patient ratio because of shortage of trained personnel and budgetary constraints, and higher workload per nurse (64.2 TISS points per nurse, compared with 40 points per nurse in the West). In addition, the APACHE II scores may underestimate mortality for Indian patients because of differences in case mix, higher lead time between onset of admission and treatment before ICU admission, and possible inappropriateness of age points derived from American patients for Indian subjects because of a higher burden of diseases at lower ages in Indian patients.

Biostatistical aspects of outcome evaluation using TISS-28.

Quantification of therapeutic activities using the Therapeutic Intervention Scoring System (TISS) is an alternative approach to evaluate outcome of patients in intensive care. The reason for using cumulative TISS points is to integrate various adverse events (except mortality) according to the amount of therapeutic effort that they require. The reduced version of TISS with 28 items (TISS-28) allows a reliable assessment of therapeutic activities with limited observer variation, provided that an exact description of all items is given. Measurements can be validated by correlations with established severity of -disease classification systems such as APACHE II. Cumulative TISS-28 values correlate well with length of ICU stay (r = 0.98). On average, 27.2 points/day can be expected in an unselected mixed surgical ICU. Those who die can be included in non-parametric analyses of cumulative TISS values by allocation of arbitrary high values. Quantification of therapeutic interventions is a sensitive measure of outcome in patients who require intensive care but have a low risk of mortality. The usefulness of economic analysis further supports its clinical application.

Occupancy of a teaching hospital adult intensive care unit by high dependency patients.

We assessed the hourly occupancy of our intensive care unit by high dependency patients over an 8-week period using the criteria established by the Working Group on Guidelines on Admission to and Discharge from Intensive Care and High Dependency Units published by the National Health Service Executive. High dependency patients accounted for 1914 bed hours (21.6%) out of a potential available total of 8880 hours. Measurement of Therapeutic Intervention Scoring System points and Acute Physiology and Chronic Health Evaluation II scores confirmed that categorising patients according to the new guidelines produced significantly different populations of patients. Mean (standard deviation) Therapeutic Intervention Scoring System points for intensive care status patients were 38.57 (10.40) compared to 21.65 (5.98) points for high dependency status patients (p < 0.001). Median (range) Acute Physiology and Chronic Health Evaluation II score for intensive care status patients was 16 (1-45) compared to 11 (1-27) for high dependency status patients (p < 0.0001). Calculating bed occupancy with different definitions for the whole of our intensive care unit population during the 8 weeks revealed a range of occupancies between 85.3% and 107.3%. We recommend the intensive care unit bed occupancy should be calculated in a standard manner nationally to allow comparison between units. We suggest that hourly occupancy be adopted as the universal method.

Measuring Resource Use in the ICU With Computerized Therapeutic Intervention Scoring System-Based Data

In this era of health-care reform, there is increasing need to monitor and control health-care resource consumption. This requires the development of measurement tools that are practical, uniform, reproducible, and of sufficient detail to allow comparison among institutions, among select groups of patients, and among individual patients. We explored the feasibility of generating an index of resource use based on the Therapeutic Intervention Scoring System (TISS) from hospital electronic billing data. Such an index is potentially comparable across institutions, allows assessment of care at many levels, is well understood by clinicians, and captures many of the resources relevant to the ICU. We developed an automated mapping of the hospital billing database into the different items of TISS and generated computerized active TISS scores on 1,372 ICU days. The computerized score was then validated by comparison to prospectively gathered active TISS scores by trained data collectors. Eight ICUs within a university teaching institution. We studied 1,229 general medical and surgical ICU patients. None. Active TISS scores ranged from 0 to 31 points. The two scores were well correlated (R2=0.53) and highly calibrated (as assessed by regression of active TISS on mean computerized active TISS [R2=0.85]). The scores were identical on 756 days (55.6%) and differed by < or = 3 TISS points on an additional 387 (28.2%) days. Interreliability assessment suggested substantial agreement (kappa statistic=0.71). The discriminatory power of the computerized score to identify different levels of ICU resource use was excellent as assessed by area under the receiver operating characteristics curves at four threshold points (0.91, 0.87, 0.89, and 0.88). Performance of the computerized score was similar across medical, coronary, and surgical ICU patient groups. An automated algorithm can reproduce valid TISS scores from standard hospital billing data, allowing comparison of patients and groups of patients in order to better understand ICU resource use.

Outcome Assessment and Pulmonary Artery Catheterization

Outcome Assessment and Pulmonary Artery Catheterization

Planning patient services for intermediate care units: insights based on care for intensive care unit low-risk monitor admissions.

To describe the technology and nursing services that would be required to care for intensive care unit (ICU) low-risk monitor admissions in an intermediate unit. Prospective, multicenter, inception cohort analysis. Forty U.S. hospitals with > 200 beds, including 26 hospitals that were randomly selected and 14 that volunteered for the study. A sample of 8,040 ICU patients admitted to the ICU for monitoring, who received no active life-support treatment on ICU day 1. None. Demographic, physiologic, and treatment information were obtained during ICU days 1 to 7. A previously validated multivariate equation was used to identify 6,180 monitor admissions at low (< 10%) risk for receiving active treatment during their entire ICU stay. We used daily Therapeutic intervention Scoring System (TISS) data to identify the equipment, type and amount of nursing care, and the types of active treatment that would have been used had these ICU patients been admitted to an intermediate care unit. Mean day-1 ICU TISS scores were as follows: 16.4 for all patients; 18.3 for surgical patients; and 13.5 for medical admissions. Concentrated nursing care accounted for 89% and technologic monitoring for 11% of day-1 TISS points. Surgical admissions had a 2.8-day mean ICU length of stay and received an average of 16.5 TISS points per patient per day. Medical admissions had a 2.7-day mean ICU length of stay and received an average of 12.3 TISS points per patient per day. Subsequent active life-support therapy was received by 4.4% of these ICU low-risk monitor admissions. The services received by ICU low-risk monitor admissions provide insight regarding the equipment and nursing care that might be required, and the kinds of emergencies that might occur, if these patients were cared for in medical and surgical intermediate care units. Our data suggest that if ICU low-risk monitor patients were admitted to an intermediate care unit, they would mainly require concentrated nursing care (nurse/patient ratio of 1:3 to 1:4) and limited technologic monitoring.

Therapeutic Intervention Scoring System used in the care of patients in pentobarbital-induced coma to determine nurse-patient ratios

Critical care patients generally require extensive interventions, thereby consuming a large percentage of healthcare resources. Induced pentobarbital coma for the management of increased intracranial pressure is one such intervention, required to maintain patient stability. Quantification of these interventions, as well as the amount of nursing work required, has not been addressed in the literature. To use the Therapeutic Intervention Scoring System to analyze and quantify how interventions affect nurse-patient ratios in the management of patients in pentobarbital coma for refractory increased intracranial pressure. The medical records of patients with subarachnoid hemorrhage from aneurysmal rupture and subsequent increased intracranial pressure, in whom pentobarbital coma was salvage therapy, were reviewed retrospectively. The Therapeutic Intervention Scoring System was used to quantify the number of interventions required before, during, and after coma induction. The data were analyzed and daily Therapeutic Intervention Scoring System scores correlated with serum pentobarbital levels. Typically, a critical care nurse can manage a patient caseload of 40 to 50 Therapeutic Intervention Scoring System points. By quantifying the interventions, the score reflected the amount of care required to manage the patient in barbiturate coma. The intensity of interventions correlated with the level of coma, length of time in coma, and associated complications. The scores indicated the intensity of interventions used in pentobarbital coma and the use of resources. Nursing care and complications involved with this therapy were quantified and nurse-patient ratios were established.

Preoperative intensive care unit consultations

To determine if a structured preoperative ICU consultation would correctly assign patients to preoperative invasive monitoring, postoperative ICU care, or recovery room care, and to compare morbidity, mortality, and resource utilization among all groups. Prospective, observational study. A university hospital. A total of 475 patients who were referred preoperatively by surgeons for ICU consultation and were evaluated by ICU physicians. Patients assessed to have clinical evidence of cardiovascular compromise were admitted preoperatively to the ICU for invasive hemodynamic monitoring and optimization. Patients without such evidence, but who were to undergo major operations or had anticipated major fluid replacement were independently selected for invasive monitoring by anesthesiologists. Patients who developed physiologic instability or became unstable due to hemorrhage also underwent invasive monitoring. Nonmonitored patients who remained stable were given postoperative ICU care or went to the recovery room based on an assessment by the surgeon and anesthesiologist at the end of the operation. Of 8,916 elective surgical cases, ICU physicians were consulted in 475 (5.3%) patients preoperatively. Sixty-seven patients were admitted preoperatively to the ICU for invasive hemodynamic monitoring and optimization; 60 patients had surgery (0.7% of elective cases, 12.6% of ICU consultations). Patients selected for ICU preoperative monitoring were older than non-monitored patients and had higher numbers of cardiovascular and total risk factors than any other group. They had higher Acute Physiology and Chronic Health Evaluation (APACHE II) scores, higher Therapeutic Intervention Scoring System (TISS) points, a higher number of complications, and longer ICU stays than non-monitored postoperative ICU patients. In addition, they had a higher number of complications than nonmonitored recovery room patients. APACHE II scores, TISS points, number of complications, and ICU days in the preoperative ICU admission group were not increased when compared with all other monitored patients. Neither hospital days nor total hospital charges were increased when compared with the other elective ICU patients. Patients selected for ICU preoperative monitoring who underwent surgery had an 11.7% mortality rate and accounted for four of five cardiovascular-related deaths. A small number of high-risk patients can be selected for preoperative monitoring on the basis of clinical assessment without increasing ICU stay or hospital bills. A structured preoperative consultation correctly identifies those patients who need monitoring and ICU care, but does not overutilize scarce and expensive ICU beds.

DAILY VARIABILITY IN ICU NURSING WORKLOAD

Variability in workload in a Pediatric ICU (PICU) often results in the reassignment of nursing staff to or from other patient care areas. Inability to predict whether they will have adequate help or be reassigned is a s.ource of stress for PICU nurses. Thus, both increases and decreases in workload are stressful. The Therapeutic Intervention Scoring System (TISS) quantitates ICU nursing care and has been used as a measure of staffing needs (Polachek: Crit Care Med 1986;14:417). We asked whether patient census adequately reflects unit total (UT) TISS points as a measure of daily variability in nursing workload. Data were collected over 12 months from October 1985 through September 1986 in a medical/surgical PICU. A total of 3,133 patient-days of care were rendered with a median daily census of 9 (range 2-12) patients. A total of 58,352 TISS points were recorded with a median TISS points per patient-day of 16 (range 3-78) and a median daily UT-TISS of 160 (range 26-305) points. The medians for absolute change over 1-day were 1 (range 0-5) patient, and 20 (range 0-110) UT-TISS points. The relationship between 1-day change in census and 1-day change in UT-TISS was described by the regression equation: Δ UT-TISS = 14.6 (Δ Census) - 0.1, SEE 24.4, r = 0.68. Thus, only 46% of change in UT-TISS could be explained by a change in census. This invalidated census as an index of workload, and emphasized the need for objective measurement of therapeutic intensity when considering nursing reassignment.

DAILY VARIABILITY IN ICU NURSING WORKLOAD: CHANGE IN CENSUS VERSUS CHANGE IN THERAPEUTIC INTENSITY LEVEL

Variability in workload in a Pediatric ICU (PICU) often results in the reassignment of nursing staff to or from other patient care areas. Inability to predict whether they will have adequate help or be reassigned is a s.ource of stress for PICU nurses. Thus, both increases and decreases in workload are stressful. The Therapeutic Intervention Scoring System (TISS) quantitates ICU nursing care and has been used as a measure of staffing needs (Polachek: Crit Care Med 1986;14:417). We asked whether patient census adequately reflects unit total (UT) TISS points as a measure of daily variability in nursing workload.Data were collected over 12 months from October 1985 through September 1986 in a medical/surgical PICU. A total of 3,133 patient-days of care were rendered with a median daily census of 9 (range 2-12) patients. A total of 58,352 TISS points were recorded with a median TISS points per patient-day of 16 (range 3-78) and a median daily UT-TISS of 160 (range 26-305) points. The medians for absolute change over 1-day were 1 (range 0-5) patient, and 20 (range 0-110) UT-TISS points.The relationship between 1-day change in census and 1-day change in UT-TISS was described by the regression equation: Δ UT-TISS = 14.6 (Δ Census) - 0.1, SEE 24.4, r = 0.68. Thus, only 46% of change in UT-TISS could be explained by a change in census. This invalidated census as an index of workload, and emphasized the need for objective measurement of therapeutic intensity when considering nursing reassignment.

Influence of patients' age on survival, level of therapy and length of stay in intensive care units.

The influence of patients' age on survival, level of therapy and length of stay was analyzed from data collected in 792 consecutive admissions to eight intensive care units. Mortality rate increased progressively with age; over 65 years of age, it was more than double that of patients under 45 years (36.8% versus 14.8%). However, mortality rate in patients over 75 years was equal to that observed in the 55 to 59 years group. There was a significant relationship between age and acute physiology score (APS) and the influence of age upon outcome decreased when APS increased. The number of TISS (therapeutic intervention scoring system) points delivered to patients increased slightly but significantly with age (r = 0.14). Standard care was responsible for the main part of this increase. Both in survivors and in non-survivors the length of stay was not different comparing the stay of the oldest patient with that of the younger age groups. We conclude that, in ICU patients, age is an important factor of prognosis but not as important as the severity of illness, and that there is no major difference in outcome of patients over 65 years of age compared to the entire study group of ICU patients.

Monitoring Patients in Pediatric Intensive Care

All admissions to a 16-bed multidisciplinary pediatric intensive care unit (PICU) were evaluated during two time periods totaling 13.5 months. Daily evaluations of therapeutic and monitoring care modalities were accomplished with the Therapeutic Intervention Scoring System (TISS) and daily assessments of severity of illness were done by using the Physiologic Stability Index. Of the 822 patients included in this study, 226 (27.5%) never received a therapy that could only be given in the PICU. These patients were known as the monitoring group and used 7.5% (297/3,969) of the bed days. The percentage of Therapeutic Intervention Scoring System points used by the monitoring patients was 3.6% (3,575/100,109). All patients who were monitored survived; 213 (94.2%) were classified as low mortality risk based on their level of physiologic stability. These data indicate that a significant percentage of PICU patients never receive a therapy that requires the PICU but only receive monitoring and routine care techniques. Significant reductions in PICU use could occur with more efficient usage.

RESOURCE CONSUMPTION IN A PEDIATRIC ICU

Using the Therapeutic Intervention Scoring System (TISS) and ICU days to measure resource consumption in a PICU, we prospectively examined care distribution to patients by age, goals of therapy, acute and chronic disease status. Methods: Resource utilization was assessed for each patient group as total TISS per patient, % total TISS per group, and total ICU days. TISS per patient was adjusted for severity of illness using analysis of covariance. Results: Data was collected on 396 admissions (2,202 days, 54,018 TISS points). Children under one month of age received significantly more therapy than those > one month (405 vs 114 TISS per patient, p<.0001). Of the total,65% were admitted for definitive therapy, 13% for observation, and 22% for palliative therapy. TISS per patient was higher in the palliative therapy group than in other groups. 32% of the patients had significant chronic disease expected to alter life expectancy and had higher TISS per patient per day scores than others(24 vs 20 TISS/pt./day,p<.001). Infants with acute congenital disease received more therapy than other children with acute onset disease, 532 vs 120 TISS/pt., p<.0001).Those admitted to the PICU following surgery received less therapy and had shorter stays. Discussion:Even after adjusting resource consumption for severity of illness,this study shows the disproportionate consumption of PICU resources by those under one month of age, those with congenital disease, and those with significant chronic disease. Less care was consumed by older children, postoperative patients, and those admitted for observation.