Morbidity, mortality, and healthcare burden of nosocomial Clostridium difficile-associated diarrhea in Canadian hospitals.

OBJECTIVE: To assess the healthcare burden, morbidity, and mortality of nosocomial Clostridium difficile-associated diarrhea (N-CDAD) in Canadian hospitals. DESIGN: Laboratory-based prevalence study. SETTING: Nineteen acute-care Canadian hospitals belonging to the Canadian Hospital Epidemiology Committee surveillance program. PATIENTS: Hospitalized patients in the participating centers. METHODS: Laboratory-based surveillance was conducted for C. difficile toxin in stool among 19 Canadian hospitals from January to April 1997, for 6 continuous weeks or until 200 consecutive diarrhea stool samples had been tested at each site. Patients with N-CDAD had to fulfill the case definition. Data collected for each case included patient demographics, length of stay, extent of diarrhea, complications of CDAD, CDAD-related medical interventions, patient outcome, and details of death. RESULTS: We found that 371 (18%) of 2,062 tested patients had stools with positive results for C difficile toxin, of whom 269 (13%) met the case definition for nosocomial CDAD. Of these, 250 patients (93%) had CDAD during their hospitalization, and 19 (7%) were readmitted because of CDAD (average readmission stay, 13.6 days). Forty-one patients (15.2%) died, of whom 4 (1.5% of the total) were considered to have died directly or indirectly of N-CDAD. The following N-CDAD-related morbidity was noted: dehydration, 3%; hypokalemia, 2%; gastrointestinal hemorrhage requiring transfusion, 1%; bowel perforation, 0.4%; and secondary sepsis, 0.4%. The cost of N-CDAD readmissions alone was estimated to be a minimum of $128,200 (Canadian dollars) per year per facility. CONCLUSION: N-CDAD is a common and serious nosocomial infectious complication in Canada, is associated with substantial morbidity and mortality, and imposes an important financial burden on healthcare institutions.     

Cost-effectiveness of inpatient substance abuse treatment.

OBJECTIVE: To identify the characteristics of cost-effective inpatient substance abuse treatment programs. DATA SOURCES/STUDY SETTING: A survey of program directors and cost and discharge data for study of 38,863 patients treated in 98 Veterans Affairs treatment programs. STUDY DESIGN: We used random-effects regression to find the effect of program and patient characteristics on cost and readmission rates. A treatment was defined as successful if the patient was not readmitted for psychiatric or substance abuse care within six months. PRINCIPAL FINDINGS: Treatment was more expensive when the program was smaller, or had a longer intended length of stay (LOS) or a higher ratio of staff to patients. Readmission was less likely when the program was smaller or had longer intended LOS; the staff to patient ratio had no significant effect. The average treatment cost $3,754 with a 75.0% chance of being effective, a cost-effectiveness ratio of $5,007 per treatment success. A 28-day treatment program was $860 more costly and 3.3% more effective than a 21-day program, an incremental cost-effectiveness of $26,450 per treatment success. Patient characteristics did not affect readmission rates in the same way they affected costs. Patients with a history of prior treatment were more likely to be readmitted but their subsequent stays were less costly. CONCLUSIONS: A 21-day limit on intended LOS would increase the cost-effectiveness of treatment programs. Consolidation of small programs would reduce cost, but would also reduce access to treatment. Reduction of the staff to patient ratio would increase the cost-effectiveness of the most intensively staffed programs.     

Hospital economics of the hospitalist

OBJECTIVE: To determine the economic impact on the hospital of a hospitalist program and to develop insights into the relative economic importance of variables such as reductions in mean length of stay and cost, improvements in throughput (patients discharged per unit time), payer methods of reimbursement, and the cost of the hospitalist program. DATA SOURCES: The primary data source was Tufts-New England Medical Center in Boston. Patient demographics, utilization, cost, and revenue data were obtained from the hospital's cost accounting system and medical records. STUDY DESIGN: The hospitalist admitted and managed all patients during a six-week period on the general medical unit of Tufts-New England Medical Center. Reimbursement, cost, length of stay, and throughput outcomes during this period were contrasted with patients admitted to the unit in the same period in the prior year, in the preceding period, and in the following period. PRINCIPAL FINDINGS: The hospitalist group compared with the control group demonstrated: length of stay reduced to 2.19 days from 3.45 days (p<.001); total hospital costs per admission reduced to 1,775 dollars from 2,332 dollars (p<.001); costs per day increased to 811 dollars from 679 dollars (p<.001); no differences for readmission within 30 days of discharge to extended care facilities. The hospital's expected incremental profitability with the hospitalist was -1.44 dollars per admission excluding incremental throughput effects, and it was most sensitive to changes in the ratio of per diem to case rate reimbursement. Incremental throughput with the hospitalist was estimated at 266 patients annually with an associated incremental profitability of 1.3 million dollars. CONCLUSION: Hospital interventions designed to reduce length of stay, such as the hospitalist, should be evaluated in terms of cost, throughput, and reimbursement effects. Excluding throughput effects, the hospitalist program was not economically viable due to the influence of per diem reimbursement. Throughput improvements occasioned by the hospitalist program with high baseline occupancy levels are substantial and tend to favor a hospitalist program.     

A Comprehensive Analysis of the Costs of Severe Maternal Morbidity

IntroductionThe objectives of this study were to include readmissions and physician costs in the estimates of total costs of severe maternal morbidity (SMM), to consider the effect of SMM on maternal length of stay (LOS), and to examine these for the more restricted definition of SMM that excludes transfusion-only cases.MethodsCalifornia linked birth certificate-patient discharge data for 2009 through 2011 (n = 1,262,862) with complete costs and LOS were used in a secondary data analysis. Cost-to-charge ratios were used to estimate costs from charges, adjusting for inflation. Physician payments were estimated from the mean payments for specific diagnosis-related groups. Generalized linear models estimated the association between SMM and costs and LOS.ResultsExcluding readmissions and physician costs, SMM was associated with a 60% increase in hospital costs (marginal effect [ME] $3,550) and a 33% increase in LOS (ME 0.9 days). These increased to 70% (ME $5,806) and 46% (ME 1.3 days) when physician costs and readmissions were included. The effects of SMM were roughly one-half as large for patients who only required a blood transfusion (49% [ME $4,056] and 31% [ME 0.9 days]) as for patients who had another indicator for SMM (93% [ME $7,664] and 62% [ME 1.7 days]).ConclusionsPostpartum hospital readmissions and physician costs are important and previously unreported contributors to the costs of SMM. Excess costs and LOS associated with SMM vary considerably by indication. Cost effects were larger than the LOS effects, indicating that SMM increases treatment intensity beyond increasing LOS, and decreasing SMM may have broader health and cost benefits than previously understood.     

Length of stay,conditional length of stay,and prolonged stay in pediatric asthma

OBJECTIVE: To understand differences in length of stay for asthma patients between New York State and Pennsylvania across children's and general hospitals in order to better guide policy. DATA SOURCES/STUDY SETTING: All pediatric admissions for asthma in the states of Pennsylvania and New York using claims data obtained from each state for the years 1996-1998, n = 38,310. STUDY DESIGN: A retrospective cohort design to model length of stay (LOS), the probability of prolonged stay, conditional length of stay (CLOS or the LOS after stay is prolonged), and the probability of readmission, controlling for patient factors, state, location and hospital type. ANALYTIC METHODS: Logit models were used to estimate the probability of prolonged stay and readmission. The LOS and the CLOS were estimated with Cox regression. Model variables included comorbidities, income, race, distance from hospital, and insurance type. Prolonged stay was based on a Hollander-Proschan "New-Worse-Than-Used" test, corresponding to a three-day stay. PRINCIPAL FINDINGS: The LOS was longer in New York than Pennsylvania, and the probabilities of prolonged stay and readmission were much higher in New York than Pennsylvania. However, once an admission was prolonged, there were no differences in CLOS between states (when readmissions were not added to the LOS calculation). In both states, children's hospitals and general hospitals had similar adjusted LOS. CONCLUSIONS: Management of asthma appears more efficient in Pennsylvania than New York: Less severe patients are discharged faster in Pennsylvania than New York; once discharged, patients are less likely to be readmitted in Pennsylvania than New York. However, once a stay is prolonged, there is little difference between New York and Pennsylvania, suggesting medical care for severely ill patients is similar across states. Differences between children's and general hospitals were small as compared to differences between states. We conclude that policy initiatives in New York, and other states, should focus their efforts on improving the care provided to less severe patients in order to help reduce overall length of stay.     

Decreasing length of maternal hospital stay is not associated with increased readmission rates

Objective: To investigate changes in maternal length of postnatal stay by mode of birth and hospital type, and examine concurrent maternal readmission rates and reasons for readmission. Methods: Linked birth and hospital separation data were used to investigated mothers’ birth admissions (n=597,475) and readmissions (n=19,094) in the six weeks post‐birth in New South Wales, 2001–2007. Outcomes were postnatal length of stay (mean days) and rate of readmission per 100 deliveries. Poisson regression was used to investigate annual readmission rates and Wilcoxon‐Mann‐Whitney test was used to compare length of readmission stays. Results: The overall mean postnatal length of stay declined from 3.7 days in 2001 to 3.4 days in 2007. Private hospitals had longer stays after Caesarean and vaginal deliveries, but mean length of stay fell for both private and public hospitals, and both modes of birth. The maternal readmission rate fell from 3.4% in 2001 to 3.0% in 2007. Leading primary diagnoses at readmission following vaginal birth were postpartum haemorrhage and breast/ lactation complications and following Caesarean section were wound complications and breast/ lactation complications. Conclusions: Despite the decrease in mean length of stay for birth admissions, there was no increase, and in fact a decrease, in the rate of postnatal readmissions. Implications: Current practices in hospital length of stay and care for women giving birth do not appear to be having serious adverse health effects as measured by readmissions.     

Readmissions to hospital: the contribution of morbidity data to the evaluation of asthma management

Abstract: We evaluated hospital readmission as an indicator of the quality of management of asthma patients, between July 1989 and June 1990. Using hospital separation data, we constructed a matched data set to identify early (within two weeks of discharge) readmissions. Of over 14 000 admissions for asthma in the 1-to-44-year age group, 2.8 per cent were classified as early readmissions. Admissions and readmissions were more common in rural than metropolitan areas. Admissions were most common during autumn, but early readmissions occurred most often during spring. Patients staving more than one day were 0.5 times (95 per cent confidence interval (CI) 0.37 to 0.68) as likely to have an early readmission than patients staving less than one day. Using the same data set, we identified patients who had the potential for readmission within a six-month period. Of the 5052 patients, 17.8 per cent were readmitted at least once during the period; 3.7 per cent had at least one early readmission, and 15.8 per cent had at least one late readmission (more than two weeks following discharge). A length of stay of more than one day was associated with 0.41 times (CI 0.24 to 0.70) the risk of early readmission in this cohort A length of stay of more than one day was associated with a higher risk of late readmission (1.52, CI 1.09 to 2.12), which was less likely to occur in rural than metropolitan areas (0.45, CI 0.37 to 0.55). This study showed that hospital data can identify factors associated with readmission for asthma; such readmission may be an indicator of asthma morbidity and/or management in the population.     

Population-based study of trends, costs, and complications of weight loss surgeries from 1990 to 2002

OBJECTIVE: To describe the trends, costs, and complications associated with weight loss surgery (WLS). RESEARCH METHODS AND PROCEDURES: Wisconsin inpatient hospital discharge data from 1990 to 2003 were used for analysis. A WLS case was defined as anyone with a WLS-related procedure code and a primary diagnosis of morbid obesity. Charges were inflation-adjusted to 2001 constant dollars; complications were defined on the basis of readmission, extended length of stay, repeat surgical procedures, or death. RESULTS: The number of WLSs increased from 269 in 1990 to 1992 to 1,884 in 2000 to 2002 (rate ratio = 4.6). Increases in WLSs were greatest among those 50 to 59 years of age (rate ratio = 6.4), women (rate ratio = 6.8), and blacks (rate ratio = 20.0). Between the two periods, inflation-adjusted WLS charges increased 12-fold, and the inflation-adjusted charge per procedure doubled, despite a decreased length of stay. For 2000 to 2002, 23.3% of WLS patients had either an extended length of stay or readmission within 30 days, 7.4% required a repeat surgical procedure, and 0.7% died. DISCUSSION: In Wisconsin, the rate and costs of WLSs have increased dramatically, and the incidence of postoperative complications was high. The epidemic of obesity in the United States makes it imperative to better assess the cost-effectiveness of WLS and to improve its safety.     

Nutritional status among adult patients admitted to an university-affiliated hospital in Spain at the time of genoma

BACKGROUND: Although malnutrition in hospitalized patients is generally associated with increasing morbidity and mortality, it is yet a widely unknown problem in hospitals. OBJECTIVES: The aim of this study was to assess the nutritional status of patients admitted to a university-affiliated hospital in Spain using anthropometry measurements and the Subjective Global Assessment (SGA) technique. METHODS: We enrolled 400 patients selected at random using a computer software program. The primary end-point was nutritional status determined within 48 h of admission by anthropometric data (body mass index, triceps skinfold thickness, and upper arm muscle circumference) and by the SGA technique. Using anthropometric data, patients were considered to have normonutrition or malnutrition. Those with malnutrition, were subdivided in patients with low (undernutrition) or high (overnutrition) body weight. Through SGA patients were classified as having normonutrition or malnutrition (moderate and severe). Secondary end-points were hospital length of stay (LOS), mortality, and readmissions (total and non-elective readmissions) over the next 6 months. Overall population, patients scheduled admitted, patients admitted from emergency room, and those with any cancer were individually analyzed. RESULTS: The frequency of malnutrition varied from 72.7% assessed by anthropometry (undernutrition in 26.7% and overnutrition in 46.0%), to 46% using SGA. Malnutrition was not related to the type of admission neither to the diagnosis of cancer. Of 400 patients analyzed, two patients died (0.5%). Using SGA, LOS was significantly higher in patients with malnutrition vs. those with normonutrition, in the overall population and in patients scheduled admitted, and there were more total and non-elective readmissions in patients with malnutrition than in patients with normonutrition in the overall population, in patients scheduled admitted and in those with cancer. When we used anthropometric data, LOS was superior in undernutrition compared to normo and overnutrition in scheduled admitted patients alone. Although there were more total readmissions in undernutrition than in normonutrition and overnutrition in overall population, no significant differences were observed with the non-elective readmission rate. CONCLUSIONS: A high prevalence of malnutrition was found in this study. At a time, a high prevalence of overnutrition was observed. Anthropometric data and SGA technique are not concordant, reflecting the limitations of markers of nutritional status. While with SGA malnutrition was detected in patients with normal to high BMI, with anthropometry overnutrition was diagnosed. SGA seems to be more accurate than anthropometry to anticipate hospital LOS and readmission rate. Due to the increased LOS and readmission rates found in patients with malnutrition, further steps among health care professionals are warranted to identify and control them.     

Evaluation of physicians' professional performance: An iterative development and validation study of multisource feedback instruments

Background

The burden of patients with heart failure on health care systems is widely recognised, although there have been few attempts to quantify individual patterns of care and differences in health service utilisation related to age, socio-economic factors and the presence of co-morbidities. The aim of this study was to assess the typical profile, trajectory and resource use of a cohort of Australian patients with heart failure using linked population-based, patient-level data.

Methods

Using hospital separations (Admitted Patient Data Collection) with death registrations (Registry of Births, Deaths and Marriages) for the period 2000?C2007 we estimated age- and gender-specific rates of index admissions and readmissions, risk factors for hospital readmission, mean length of stay (LOS), median survival and bed-days occupied by patients with heart failure in New South Wales, Australia.

Results

We identified 29,161 index admissions for heart failure. Admission rates increased with age, and were higher for males than females for all age groups. Age-standardised rates decreased over time (256.7 to 237.7/100,000 for males and 235.3 to 217.1/100,000 for females from 2002?C3 to 2006?C7; p?=?0.0073 adjusted for gender). Readmission rates (any cause) were 27% and 73% at 28-days and one year respectively; readmission rates for heart failure were 11% and 32% respectively. All cause mortality was 10% and 28% at 28 days and one year. Increasing age was associated with more heart failure readmissions, longer LOS and shorter median survival. Increasing age, increasing Charlson comorbidity score and male gender were risk factors for hospital readmission. Cohort members occupied 954,888 hospital bed-days during the study period (any cause); 383,646 bed-days were attributed to heart failure admissions.

Conclusions

The rates of index admissions for heart failure decreased significantly in both males and females over the study period. However, the impact on acute care hospital beds was substantial, with heart failure patients occupying almost 200,000 bed-days per year in NSW over the five year study period. The strong age-related trends highlight the importance of stabilising elderly patients before discharge and community-based outreach programs to better manage heart failure and reduce readmissions.     

Clostridium difficile in the intensive care unit: epidemiology, costs, and colonization pressure.

OBJECTIVE: To evaluate the epidemiology, outcomes, and importance of Clostridium difficile colonization pressure (CCP) as a risk factor for C. difficile-associated disease (CDAD) acquisition in intensive care unit (ICU) patients. DESIGN: Secondary analysis of data from a 30-month retrospective cohort study. SETTING: A 19-bed medical ICU in a midwestern tertiary care referral center. PATIENTS: Consecutive sample of adult patients with a length of stay of 24 hours or more between July 1, 1997, and December 31, 1999. RESULTS: Seventy-six (4%) of 1,872 patients were identified with CDAD; 40 (53%) acquired CDAD in the ICU, for an incidence of 3.2 cases per 1,000 patient-days. Antimicrobial therapy, enteral feeding, mechanical ventilation, vancomycin-resistant enterococci (VRE) colonization or infection, and CCP (5.5 vs 2.0 CDAD case-days of exposure for patients with acquired CDAD vs no CDAD; P=.001) were associated with CDAD acquisition in the univariate analysis. Only VRE colonization or infection (45% of patients with acquired CDAD vs 16% of patients without CDAD; adjusted odds ratio, 2.76 [95% confidence interval, 1.36-5.59]) and a CCP of more than 30 case-days of exposure (20% with acquired CDAD vs 2% with no CDAD; adjusted odds ratio, 3.77 [95% confidence interval, 1.14-12.49]) remained statistically significant in the multivariable analysis. Lengths of stay (6.1 vs 3.0 days; P<.001 by univariate analysis) and ICU costs ($11,353 vs $6,028; P<.001 by univariate analysis) were higher for patients with any CDAD than for patients with no CDAD. CONCLUSIONS: In this nonoutbreak setting, the CCP was an independent risk factor for acquisition of CDAD in the ICU at the upper range of exposure duration. Having CDAD in the ICU was a marker of excess healthcare use.     

PCV9 Study of Hypertensive Prescribing Practices

This study compared the use and outcomes associated with intravenous dilitiazem and/or intravenous digoxin as a primary therapy in patients admitted for treatment of atrial fibrillation.
METHODS: A retrospective database analysis was conducted with data from seven academic medical centers. The use of intravenous diltiazem, digoxin, or both, in patients admitted for treatment of atrial fibrillation between January 1993 and July 1996 was analyzed. SAS data sets were created to combine financial records with clinical files. The primary outcomes of interest measured were the length of hospital stay (LOS), total hospital cost, hospital mortality, and 30-day readmission rates.
RESULTS: A total of 107 patients was identified in the University Health System Consortium (UHC) clinical database (CDB) with admissions for treatment of atrial fibrillation. 46, 41, and 20 patients received intravenous dilitiazem, digoxin, or both agents, respectively. Hospital mortality rates were not different among patients. The most common concomitant disease states included congestive heart failure (n = 28) and hypertension (n = 9). The mean LOS was 4.11, 8.34, and 9.15 days for patients receiving diltiazem, digoxin, or both agents, respectively. The mean total cost of hospitalization was $4,890, $11,063 and $13,547 for patients receiving diltiazem, digoxin, or both agents, respectively. More patients receiving both agents were readmitted within 30 days (25%) as compared to patients receiving only diltiazem (8%) or digoxin (22%).
CONCLUSION: Intravenous diltiazem was associated with a decreased LOS, decreased total hospital costs, a decreased 30-day readmission rate and no difference in mortality in comparison with intravenous digoxin. Therefore, intravenous diltiazem warrants further consideration as a replacement for intravenous digoxin in the cost-effective management of atrial fibrillation.     

Do Hospital Length of Stay and Staffing Ratio Affect Elderly Patients' Risk of Readmission? A Nation‐wide Study of Norwegian Hospitals

OBJECTIVE: To test whether there is an association between hospital operating conditions such as average length of stays (LOS) and staffing ratio, and elderly patients' risk of readmission. DATA SOURCES: The main data source was a national patient database of admissions to all acute-care Norwegian hospitals during the year of 1996. STUDY DESIGN: It is a cross-sectional study, where Cox' regression analysis was used to test the factors acting on the probability of early unplanned readmission (within 30 days), and later occuring ones. The principal hospital variables included average hospital LOS and staffing ratio (discharges per man-years of personnel). Adjusting patient variables in the model included age, gender, and cost-weights of the Diagnosis Related Groups (DRGs). DATA EXTRACTION METHODS: The selected material included discharges from 59 hospitals, and 113,055 elderly patients (> or = 67 years). Multiple admissions to the same hospital were linked together chronologically, and additional hospital data were matched on. To maximize the association between the index stay and the defined outcome (unplanned readmission), no intervening planned admission was accepted. PRINCIPAL FINDINGS: Being admitted to a hospital with relatively short average LOS increased the patient's risk of early readmission significantly. In addition it was found that more intensive care (more staff) could have a compensatory effect. Furthermore, the predictive factors were shown to be time dependent, as hospital variables had much less impact on readmissions occurring late (within 90-180 days). CONCLUSIONS: The results give support to the assumption of a link between hospital operating conditions and patient outcome.     

A cost comparison of hospice care in amyotrophic lateral sclerosis and lung cancer

The authors compare the cost of hospice care provided to 25 amyotrophic lateral sclerosis (ALS) patients and 159 lung cancer patients by the Wissahickon Hospice of the University of Pennsylvania. The mean length of stay was 86.7 days for ALS patients and 35.0 days for patients with lung cancer (P = .011). The mean per patient cost was 5622.93 dollars for the ALS patients and 2658.91 dollars for patients with lung cancer (P = .057) The average operating margin excluding administrative costs was 5293.04 dollars for ALS patients and 2126.74 dollars for patients with lung cancer (P = .008). The longer length of stay (LOS) accounts for this difference. Longer LOS can be accomplished by close clinical monitoring of ALS patients for the development of life threatening respiratory and/or nutritional compromise and by liberalizing the present hospice admission guidelines.     

Attributable outcomes of endemic Clostridium difficile-associated disease in nonsurgical patients

Data are limited on the attributable outcomes of Clostridium difficile-associated disease (CDAD), particularly in CDAD-endemic settings. We conducted a retrospective cohort study of nonsurgical inpatients admitted for >/=48 hours in 2003 (N = 18,050). The adjusted hazard ratios for readmission (hazard ratio 2.19, 95% confidence interval [CI] 1.87-2.55) and deaths within 180 days (hazard ratio 1.23, 95% CI 1.03-1.46) were significantly different among CDAD case-patients and noncase patients. In a propensity score matched-pairs analysis that used a nested subset of the cohort (N = 706), attributable length of stay attributable to CDAD was 2.8 days, attributable readmission at 180 days was 19.3%, and attributable death at 180 days was 5.7%. CDAD patients were significantly more likely than controls to be discharged to a long-term-care facility or outside hospital. Even in a nonoutbreak setting, CDAD had a statistically significant negative impact on patient illness and death, and the impact of CDAD persisted beyond hospital discharge.     

Hospital charges for a community inpatient palliative care program

Defining financial parameters of palliative care (PC) is important for providing sustainable programming. In our study, we evaluated hospital length of stay (LOS) and charges for the first 164 inpatient PC consultations performed by the Advanced Illness Assistance (AIA) team at Blount Memorial Hospital (BMH). These AIA patients had a median LOS of 11 days (range, 3-114 days), mean total charges per patient of 65,795 dollars, and mean daily charges of 3,809 dollars. Higher mean daily charges (p = 2.74 E-08, chi-square) were associated with patients who received consultation because of nonphysical symptom reasons. Patients were followed in PC consultation (AIA follow-up days) for a median of five days (range, 1-48), and had mean daily charges of 3,117 dollars. These mean daily charges were 414 dollars less than the charges for the five days prior to PC consultation (pre-AIA days) (p = 0.04, t-test). There was a significant decrease in laboratory and imaging charges during AIA follow-up (p = 0.04, t-test). The study included a reference group of patients whose information was obtained retrospectively from the BMH Atlas (MediQual, Marlborough, MA) database. These reference group patients were hospitalized at BMH during the same time, but they were not seen by the AIA team. The reference group was matched by Diagnosis Related Group (DRG), Admission Severity Grade (ASG), and disposition to the AIA patients. The Atlas patients had a shorter median LOS of six days (range, 1-105 days), and significantly greater mean daily charges of 4,105 dollars (p = 0.006, t-test) compared with AIA patients. Mean daily charges decreased for Atlas patients, as their day of discharge approached (p < 0.001). Estimates of potential charge savings were calculated in two ways: 1) by evaluating the effect of decreasing the LOS of Atlas patients with long LOS (more than seven days) to the level of AIA patients with long LOS, and 2) by comparing the actual mean patient charges during AIA follow-up with using the pre-AIA mean daily charges during the AIA follow-up period and correcting for the effect of decreasing charges that occurred as discharge approached. The estimated savings achieved by decreasing long LOS were more than 100,000 dollars per year, and estimated savings achieved using AIA follow-up charges were more than 1,801,930 dollars per year.     

Factors influencing hospital high length of stay outliers

ABSTRACT: BACKGROUND: The study of length of stay (LOS) outliers is important for the management and financing of hospitals. Our aim was to study variables associated with high LOS outliers and their evolution over time. METHODS: We used hospital administrative data from inpatient episodes in public acute care hospitals in the Portuguese National Health Service (NHS), with discharges between years 2000 and 2009, together with some hospital characteristics. The dependent variable, LOS outliers, was calculated for each diagnosis related group (DRG) using a trim point defined for each year by the geometric mean plus two standard deviations. Hospitals were classified on the basis of administrative, economic and teaching characteristics. We also studied the influence of comorbidities and readmissions. Logistic regression models, including a multivariable logistic regression, were used in the analysis. All the logistic regressions were fitted using generalized estimating equations (GEE). RESULTS: In near nine million inpatient episodes analysed we found a proportion of 3.9 % high LOS outliers, accounting for 19.2 % of total inpatient days. The number of hospital patient discharges increased between years 2000 and 2005 and slightly decreased after that. The proportion of outliers ranged between the lowest value of 3.6 % (in years 2001 and 2002) and the highest value of 4.3 % in 2009. Teaching hospitals with over 1,000 beds have significantly more outliers than other hospitals, even after adjustment to readmissions and several patient characteristics. CONCLUSIONS: In the last years both average LOS and high LOS outliers are increasing in Portuguese NHS hospitals. As high LOS outliers represent an important proportion in the total inpatient days, this should be seen as an important alert for the management of hospitals and for national health policies. As expected, age, type of admission, and hospital type were significantly associated with high LOS outliers. The proportion of high outliers does not seem to be related to their financial coverage; they should be studied in order to highlight areas for further investigation. The increasing complexity of both hospitals and patients may be the single most important determinant of high LOS outliers and must therefore be taken into account by health managers when considering hospital costs.     

The role of an acute care for the elderly unit in achieving hospital quality indicators while caring for frail hospitalized elders

Acute Care for the Elderly (ACE) units have successfully decreased length of stay, hospital costs, and readmission rates. Furthermore, patients return home with increased functional capacity and improved satisfaction with their hospital stay. The ACE unit concept was geared toward patients returning to independent living, but the average hospitalized geriatric patient is increasingly more frail, vulnerable, and dependent. The purpose of this study is 2-fold: (1) to determine if the ACE unit continues to offer the same benefit to the frail, often bedbound elderly, and (2) to determine if such a unit is able to maintain standard hospital quality indicators. A total of 1096 cases discharged from the Memorial-Hermann ACE unit between July 2008 and June 2010 were compared to a sample of 383 patients with similar illness severity who were discharged between July 2007 and June 2008. Metrics measured include: average length of stay (ALOS), case mix index (CMI), case mix adjusted average length of stay (CMI adj ALOS), average direct costs per case, and readmission rate. Patient satisfaction was measured using Hospital Consumer Assessment of Healthcare Providers and Systems and Press-Ganey surveys; quality and safety data were provided by Memorial-Hermann's Quality and Safety Department. The ACE unit resulted in a statistically significant decrease in ALOS and CMI adj LOS with a simultaneous increase in Health Care Financing Administration CMI, indicating that the unit was serving a sicker, more frail population. The readmission rate was 11.95%. The decrease in length of stay, readmission rate, and direct cost translates into a decrease in cost per case. Furthermore, the ACE unit successfully met hospital quality indicators.     

Comparison between planned and unplanned readmissions to a department of internal medicine

The objective of this study was to assess the respective frequency of planned and unplanned early readmissions after discharge from an internal medicine department, and to identify and compare risk factors for these two types of readmissions. Readmissions within 31 days of discharge were identified as planned or unplanned based on analysis of discharge summaries. Time-failure methods were used to describe the risk of readmissions over time and to assess relationships between patient and index stay characteristics and risk of readmission. Of 5828 patients discharged alive, 730 (12.5%) were readmitted within 31 days. There were slightly more planned than unplanned readmissions (393 vs. 337). The difference in time-to-event functions was significant (P=0.04). The risk of planned readmission was increased for men, younger patients, and for patients discharged with a diagnosis of coronary heart disease, cardiac arrhythmia, and neoplastic disease. Increased risk of unplanned readmission was associated with index length of stay longer than 3 days, an increased number of comorbidities, and with a diagnosis of neoplastic disease. Planned readmissions constitute more than half of early readmissions to our internal medicine department. Therefore, a crude readmission rate is unlikely to be a useful indicator of quality of care. Several patient characteristics influence the risk of unplanned readmission, suggesting that case-mix adjustments are necessary when readmission rates are compared between institutions or tracked over time.     

Association of hospital resource use with comorbidity status and patient age among hip fracture patients in Japan

OBJECTIVES: This study examined the association of resource use with comorbidity status and patient age among hip fracture patients who underwent surgical treatment. DESIGN: We used a database from the Voluntary Hospitals of Japan Quality Indicator Project that involved 10 privately owned leading teaching hospitals in Japan. SETTING: Four of these hospitals in Japan. PARTICIPANTS: We selected 778 operable hip fracture patients aged 65 or older who were admitted to these hospitals between January 1996 and August 2000 (mean age: 80.3 +/- 7.3 years). MEASUREMENTS: A linear mixed model was performed to identify factors associated with the resource use, such as total length of stay (LOS), LOS before surgery, LOS after surgery, total hospital charges, charges for diagnostic examinations, charges for surgery, and length of theater time, among operable hip fracture patients. RESULTS: The mean LOS was 45.9 days, and the mean total hospital charges were US dollars 14,495.0. Results from linear mixed models revealed that higher age was significantly associated with shorter length of theater time (P < 0.01), and that the presence of comorbidity among hip fracture patients was significantly associated with longer total LOS (P < 0.01), longer LOS after surgery (P < 0.001), higher charges for diagnostic examinations (P < 0.001), and shorter length of theater time (P < 0.01). CONCLUSION: These results suggest that the presence of comorbidity among operable hip fracture patients requires greater resource use during their hospital stay, but higher age is not significantly associated with greater resource use at all.