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PubMed2003

Double-blind, placebo-controlled, randomized trial of prophylactic metoprolol for reduction of hospital length of stay after heart surgery: the beta-Blocker Length Of Stay (BLOS) study.

BACKGROUND: Atrial fibrillation (AF) is a common complication of heart surgery. Previous studies have shown that there is an association between postoperative AF and prolongation of hospital length of stay. No previous trials have been primarily directed at demonstrating that the use of drugs that prevent AF would shorten length of stay and reduce the costs of postoperative care. METHODS: A randomized, double-blind, placebo-controlled trial of metoprolol was performed in patients immediately after nonemergent heart surgery. Metoprolol was given orally at a dose of 100 mg per day after the patient's arrival in the intensive care unit until hospital discharge or 14 days, whichever was sooner. This dose was increased to 150 mg per day after the enrollment of 411 patients. The primary outcome measure of the study was hospital length of stay from admission to intensive care unit until hospital discharge. There were 1000 patients enrolled, evenly distributed to the metoprolol and placebo groups. RESULTS: There was a 20% reduction in the risk of AF developing with metoprolol, from 39% of patients to 31% of patients (P =.01). There was no effect of treatment on hospital length of stay, which was 152 +/- 61 hours for placebo and 155 +/- 90 hours for metoprolol (P = 0.79). The cost of postoperative care in the 2 treatment groups was similar. CONCLUSION: Prophylactic metoprolol reduces the risk of AF after heart surgery. It does not reduce hospital length of stay. Although it is cost effective for the reduction of AF, it did not reduce the overall cost of care.

Adrenergic beta-Antagonists↗
PubMed2005

The effect of in-room registration on emergency department length of stay.

STUDY OBJECTIVE: Length of stay is a measure of efficiency of delivery of care and is an important determinant of patient satisfaction in a pediatric emergency department (ED). Although length of stay is affected by many unmodifiable factors, changes in care processes may lead to improvements in throughput. Evaluating the success of such changes, however, requires an understanding of the effect of other determinants. We determine the factors associated with ED length of stay and estimate the effect of an in-room registration process on throughput time. METHODS: This was a before-and-after study at an academic pediatric ED with annual census of 45,000 visits. The study period was January 2, 2000, through December 31, 2003. In June 2003, an in-room registration process was initiated so that patients were placed directly into a room after triage, and the registration process was completed after physician evaluation. Weekly data were obtained on average length of stay and the following possible confounders: average daily ED census, hospital admissions from the ED, hospital occupancy rate, hours of physician staffing, and month of the year. An autoregressive integrated moving-average time series model was used to determine the effect of each variable on length of stay. RESULTS: Data were obtained for 209 weekly intervals during the study period; average length of stay ranged from 2.2 to 3.8 hours. All factors were highly associated with length of stay except for the number of hours of physician staffing (P =.71). The presence of in-room registration led to an estimated average decrease in length of stay of 15.0 minutes (95% confidence interval 6.3 to 33.4 minutes), or 9.3%. CONCLUSION: In-room registration leads to a statistically significant and practically meaningful improvement in total length of stay in the pediatric ED. Throughput time can be largely explained by a limited number of factors; our predictive model may facilitate the evaluation of other interventions.

Emergency Service, Hospital↗
PubMed2005

[Chest X-ray interpretation on patients admitted in a short-stay unit. Relation with the mean length of stay].

INTRODUCTION: To assess the agreement between physicians of the emergency department and a radiologist in the interpretation of chest roentgenograms in patients admitted to the short-stay unit, and to determine the effect of concordance on the mean length of stay. MATERIAL AND METHOD: The medical records of patients admitted to the short-stay unit over a 4-month period were reviewed. The interpretation of the chest X-ray film made by the physician in charge of the patient at the emergency department with that made by the radiologist was compared. The mean length of stay was determined and it was analyzed if the reading of the radiograph made by the radiologist before admission would decrease the length of stay. RESULTS: A total of 260 medical records were reviewed. The overall degree of agreement was 74.2% but it was greater when the physician at the emergency department was a staff physician or a resident in the final period of training than a resident in the initial period of training (82% vs 66.4%, p < 0.003). There were no statistically significant differences regarding the day hours at which readings were made. A change in the diagnosis and/or treatment of the patient would had occurred in only 9 cases (3.5%). There were no changes in the mean length of stay according to the presence or absence of concordance, although there was a trend towards an increase in the length of stay for those cases in which diagnosis and/or treatment would had been different. CONCLUSIONS: Readings of chest roentgenograms by a radiologist before admission to a short-stay unit does not appear to be justified for all patients, although it may be justified when a staff physician or a resident in the final period of training have doubts regarding interpretation of the radiographic images. A better supervision of residents in the initial period of training may contribute to improve the diagnostic reliability of chest X-ray films.

Aged↗
PubMed1987

Detention in Broadmoor. Factors in length of stay.

When the length of stay of restricted patients admitted to Broadmoor under the legal category of psychopathic disorder was examined, the factor found to be of primary importance was the gravity of the admission offence. If the men's offences did not cause personal injury, they had a good chance of early release. Patients convicted of violent or sexual offences, and particularly those who attacked strangers, made up the great majority of the long-term group. For the mentally ill there was no relationship between length of stay and admission offence: instead the data suggested that severity and chronicity of illness were the main relevant factors.

Antisocial Personality Disorder↗
PubMed2002

Coping among individuals seeking private chemical dependence treatment: gender differences and impact on length of stay in treatment.

BACKGROUND: Length of stay in treatment and coping skills are both predictive of chemical dependence and abuse treatment outcomes. However, little is known about whether coping strategies are related to length of stay in treatment. Because predictors of length of stay in treatment vary by gender, it also may be reasonable to expect gender differences in coping strategies as well as in the relationship between coping and LOS in treatment. METHODS: We examined gender differences in baseline coping strategies, and coping strategies as predictors of length of stay in treatment, among 747 (433 men, 314 women) individuals who entered chemical dependence and abuse treatment in a private, managed care facility. RESULTS: Women reported using more emotional discharge (behavioral attempts to reduce tension by expression of negative feelings), cognitive avoidance (cognitive attempts to avoid thinking realistically about the problem), resigned acceptance (cognitive attempts to react to the problem by accepting it), and seeking support/guidance (behavioral attempts to seek information, guidance, or support). Gender differences for emotional discharge disappeared after we controlled for depressive symptom and drug problem severities. Greater use of seeking alternative rewards (behavioral attempts to get involved in substitute activities and create new sources of satisfaction), less use of emotional discharge, and older age were significant predictors of longer length of stay, with no gender differences found. CONCLUSIONS: This study provides evidence for identifying and decreasing the use of emotional discharge early in treatment, possibly through the use of intervention strategies such as anger management, cognitive restructuring, or motivational interviewing, as well as encouraging an increase in participation in alternative activities.

Adaptation, Psychological↗
PubMed1990

Clinical course and predictors of length of stay in hospitalized patients with rheumatoid arthritis.

Patients admitted for therapy of active rheumatoid arthritis were prospectively followed throughout their hospital stay. Average length of stay was 17.1 days. Serial global assessments, whether determined by rheumatologist, physiotherapist or patient appeared to improve linearly until at least hospital day 21. From admission to discharge, mean global assessment scores improved by about one third. Poor global assessment, high disability index, and the presence of comorbid disease and anemia on admission, as well as admission late in the week, were predictive of prolonged hospital stay.

Adult↗
PubMed1991

Chronic status patients in a university hospital: bed-day utilization and length of stay.

OBJECTIVE: To examine the lengths of stay of chronic status patients in an acute care hospital, to identify discharge stages that contribute to excessive stays, to estimate the length of stay at each discharge stage and to link hospital bed-day utilization by the discharge stage to the experience of the patient. DESIGN: Two-year prospective cohort study. The number of hospital days retrospective to the date of the current admission were included in the analysis. SETTING: University hospital. PATIENTS: All 115 inpatients formally declared as achieving chronic status by July 31, 1987. OUTCOME MEASURES: Lengths of stay (total days and days at acute and chronic status) for chronic status patients, including those still in hospital at the end of the study period. Each bed-day was assigned to a discharge stage that corresponded to the patient's status. The disposition of each patient by the end of the study period was reviewed. RESULTS: The study population spent a total of 101 585 days in hospital. The total length of stay per patient was nearly four times that stated in the hospital's annual report, in which the figure was calculated only on the basis of discharge data. On average only 77.2 (8.7%) of the days were spent in acute care. The remaining days were at the chronic level: 24.1% were spent waiting for completion of an application to a long-term care facility, 25.3% for application approval and 41.9% for an available bed in the assigned long-term care institution. For 30 patients no initiation of the discharge process was ever undertaken. As the number of patients in each progressive discharge stage decreased, the wait per patient increased. By the end of the study period only 32 patients had been transferred to a public long-term care facility; 22 were still in hospital, and 35 had died waiting for placement. CONCLUSIONS: Although considered to be a useful measure of hospital efficiency, length of stay determined from discharge data creates an iceberg effect when applied to chronic status patients in acute care hospitals. Lack of access to the assigned resource is the most important reason for a delay in discharge. Interventions, whether undertaken at the patient, hospital or provincial level, must to some degree address this issue. Further study is required to determine which risk factors will predict lags at each discharge stage. Since our discharge staging reflects not only the experience of the patient but also the utilization of hospital bed-days and access to provincial resources, it provides a common language for clinicians, hospital administrators and systems planners.

Adult↗
PubMed2000

Use of a comprehensive state birth data system to assess mother's satisfaction with length of stay.

OBJECTIVE: To assess length of stay, home visits, and mothers' feelings after full implementation of a law requiring a 48-hour minimum stay for women with normal vaginal deliveries. METHODS: The New Jersey Electronic Birth Certificate System (EBC) was used to capture demographic characteristics, and length of stay (LOS), and to select a sample of women with low risk uncomplicated vaginal deliveries. A follow-up mail survey (with a nonresponder phone component) enhanced the information available on the EBC. RESULTS: The response rate for women included in the sample was 82.1% (1276/1555). The mean length of stay was 1.9 days. Sixty-two percent (787) of women thought their LOS after delivery was just right. Women who thought their stays were too short tended to be older, married, working outside the home, or have an LOS of less than 48 hours. The most common reasons for thinking the LOS was too short was a need for rest and concern about the baby. DISCUSSION: The combination of an augmented electronic birth certificate system and a follow-up survey proved to be a rapid, reliable, and inexpensive method of assessment. The mothers' desires for rest, education on the care of her newborn, and reassurance that any medical complications could be handled, are paramount concerns that need to be taken into account by payers and practitioners wanting to decrease LOS.

Adolescent↗
PubMed1986

The significance of selected variables in laminectomy length of stay.

Factors affecting hospital length of stay of patients undergoing laminectomy were examined by replicating a study by Sutcliffe and Vincent. Results were similar, indicating that hospital stays were longer for patients unemployed prior to admission and for those who lived alone, had previous medical diagnoses, and had a Jackson Pratt drain. Amount of postoperative ambulation also affected length of stay. There were several limitations to the study, including failure to differentiate regarding the extent of the surgical procedure. The results support the need for early discharge planning and underscore the importance of the nurse in identifying patients who are prone to longer lengths of stay.

Adult↗
PubMed1976

Noise and hospital stay.

Length of hospital stay for simple cataract surgery was compared retrospectively for a period of construction noise and for two similar periods without construction noise. Hospital stay was significantly longer during the period of construction.

Aged↗
PubMed2004

Trends in postdischarge mortality and readmissions: has length of stay declined too far?

BACKGROUND: Length of hospital stay continues to decline, but the effect on postdischarge outcomes is unclear. METHODS: We determined trends in risk-adjusted mortality rates and readmission rates for 83,445 Medicare patients discharged alive after hospitalization for myocardial infarction, heart failure, gastrointestinal hemorrhage, chronic obstructive pulmonary disease, pneumonia, or stroke. Patients were stratified into deciles of observed/expected length of stay to determine whether patients whose length of stay was much shorter than expected had higher risk-adjusted mortality and readmission rates. Analyses were stratified by whether a do-not-resuscitate (DNR) order was written within 2 days of admission (early) or later. RESULTS: From 1991 through 1997, risk-adjusted postdischarge mortality generally remained stable for patients without a DNR order. Postdischarge mortality increased by 21% to 72% for patients with early DNR orders and increased for 2 of 6 diagnoses for patients with late DNR orders. Markedly shorter than expected length of stay was associated with higher than expected risk-adjusted mortality for patients with early DNR orders but not for others (no DNR and late DNR). Risk-adjusted readmission rates remained stable from 1991 through 1997, except for a 15% (95% confidence interval, 3%-30%) increase for patients with congestive heart failure. Short observed/expected length of stay was not associated with higher readmission rates. CONCLUSIONS: The dramatic decline in length of stay from 1991 through 1997 was not associated with worse postdischarge outcomes for patients without DNR orders. However, postdischarge mortality increased among patients with early DNR orders, and some of this trend may be due to patients being discharged more rapidly than previously.

Aged↗
PubMedDate not supplied

The effect of a partnership model on quality and length of stay.

The differences in patient length of stay and quality indicators pre and post-implementation of a nursing partnership model were examined. Findings indicated no significant difference in length of stay, infection rates, medication or procedural errors, but significantly less falls after implementation. Length of stay decreased by 0.7 days.

Female↗
PubMed1984

Average length of stay in hospitals.

The average length of stay is essentially an important and appropriate index for hospital bed administration. However, from the position that it is not necessarily an appropriate index in Japan, an analysis is made of the difference in the health care facility system between the United States and Japan. Concerning the length of stay in Japanese hospitals, the median appeared to better represent the situation. It is emphasized that in order for the average length of stay to become an appropriate index, there is need to promote regional health, especially facility planning.

Hospitals↗
PubMed1998

Use of an artificial neural network to predict length of stay in acute pancreatitis.

Length of stay (LOS) predictions in acute pancreatitis could be used to stratify patients with severe acute pancreatitis, make treatment and resource allocation decisions, and for quality assurance. Artificial neural networks have been used to predict LOS in other conditions but not acute pancreatitis. The hypothesis of this study was that a neural network could predict LOS in patients with acute pancreatitis. The medical records of 195 patients admitted with acute pancreatitis were reviewed. A backpropagation neural network was developed to predict LOS >7 days. The network was trained on 156 randomly selected cases and tested on the remaining 39 cases. The neural network had the highest sensitivity (75%) for predicting LOS >7 days. Ranson criteria had the highest specificity (94%) for making this prediction. All methods incorrectly predicted LOS in two patients with severe acute pancreatitis who died early in their hospital course. An artificial neural network can predict LOS >7 days. The network and traditional prognostic indices were least accurate for predicting LOS in patients with severe acute pancreatitis who died early in their hospital course. The neural network has the advantage of making this prediction using admission data.

APACHE↗
PubMedDate not supplied

Predictors of hospital length of stay after heart transplantation.

Factors that predict hospital length of stay after heart transplantation were identified from retrospective data of 65 patients (82% male, mean age, 43.3 years). Multiple regression analysis with a stepwise procedure was used to generate three predictive models for length of stay: (1) a model to be used before operation, (2) a model that combines preoperative and donor information, and (3) a model that takes preoperative, donor, and postoperative factors (complete model) into consideration. Hospital length of stay ranged from 15 to 45 days after heart transplantation (median length of stay, 22.5 days; mean length of stay, 24.4 +/- 6.4 days). In the preoperative model, diagnosis, duration of cardiac symptoms, severity of heart failure, and pulmonary vascular resistance were significantly related to length of stay and together accounted for 36% of the variance in length of stay. When donor information (for example, size and ischemic time) was added to preoperative information, the resultant model failed to account for appreciably more of the variance in length of stay. A model that considered preoperative, donor, and postoperative factors accounted for 71% of the variance in length of stay. Significant variables in the model were the month in which the patient had transplantation in the program, duration of cardiac symptoms before transplantation, preoperative severity of heart failure, pulmonary vascular resistance, and postoperative incidence of severe acute rejection. Patient age, sex, and postoperative infections were not related to length of stay. In conclusion, there are cardiopulmonary and immunologic factors that can predict length of stay. The model also suggests that a program's experience with heart transplantation affects length of stay.

Adolescent↗
PubMed1999

Reducing hospital inpatient lengths of stay.

This article describes the importance of hospital length of stay as an indicator of health care efficiency and provides guidance concerning the development of data for length of stay reduction. It identifies variables involved in length of stay evaluation including the mean stay, median stay, and length of stay standard deviation. It describes how consistent length of stay data can be generated and analyzed for local populations and benchmark communities.

Benchmarking↗
PubMed2005

Early hospital readmission was less likely for hemodialysis patients from facilities with longer median length of stay in the DOPPS study.

The length of hospital stay is considered to influence hospital readmission in general. The Dialysis Outcomes and Practice Patterns Study (DOPPS), an international prospective observational study undertaken to establish a relationship between facility practices and dialysis outcomes, started in 1996. Results suggest that the duration of hospital stay is significantly correlated with the probability of early readmission in dialysis patients. Thus, early hospital readmission was observed to be less likely for hemodialysis patients from facilities with longer median length of stay. The lengths of hospital stay for hemodialysis patients differed in the three continents studied. Although socioeconomic pressures may drive the lengths of hospital stay, the duration of hospitalization should be determined keeping in mind the safety of clinical course for each disease. In this forum, a 47-year-old female hemodialysis patient with severe secondary hyperparathyroidism, who had been treated with hemodialysis for 21 years, was hospitalized with severe clinical symptoms. Although the clinical symptoms disappeared 10 days after total parathyroidectomy with autotransplantation, severe hypocalcemia persisted despite large amounts of intravenous calcium gluconate. This patient was hospitalized for a long duration owing to the large calcium deficit in her body. Had the length of her hospital stay been shortened, either she could have needed rehospitalization or her condition could have worsened.

Calcium Gluconate↗
PubMed2005

Characteristics of psychiatric hospitals associated with length of stay in Japan.

OBJECTIVE: Average length of inpatient stay at psychiatric hospitals in Japan has been consistently longer than that in any other developed country, and was 330 days in 1996. Although some reforms have been implemented with the intention of decreasing length of stay (LOS), appreciable reductions have not been achieved. The present study examined hospital characteristics associated with length of stay in regional psychiatric hospitals in Japan, in order to identify variables that might help to reduce LOS. METHOD: This cross-sectional study analysed the complete database of one district in Japan. Analyses were conducted using aggregate data from 24 hospitals. Multiple regression analysis was performed to determine hospital characteristics influencing LOS in psychiatric hospitals. RESULTS: Significant positive associations were identified between LOS and two hospital characteristics: inpatient capacity; proportion of involuntary admissions. Negative associations were observed for three variables: number of outpatients; human resources in terms of healthcare professionals available in each hospital; community activity. Multiple linear regression analysis for the 24 hospitals revealed that number of outpatients and proportion of patients receiving public aid were independently associated with shorter LOS, while proportion of involuntary admissions was independently associated with longer LOS. A negative association between human resources in terms of number of healthcare professionals and LOS was suggested. CONCLUSION: Several hospital characteristics are associated with LOS in psychiatric hospitals. Factors identified in this study offer insights into directions for effective psychiatric health policy to reduce LOS.

Adult↗