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Geographic variations in hospital discharge rates and discretionary hospital use.

OBJECTIVES: While past research has shown that there is greater geographic variability in hospital discharge rates for medical conditions where there is less agreement about proper treatment, there is little empirical evidence to support the corollary that high hospital use in a community is primarily the result of a greater volume of such discretionary hospitalizations. This study assesses the contribution of discretionary hospitalizations to higher overall rates of hospital use in communities. METHODS: Hospital discharge files and Medicare eligibility files were used to estimate adjusted rates of hospital discharge, days of care and adjusted mortality for a sample of 761 geographic communities in four states in the USA. Diagnostic information was used to classify hospitalizations into low, moderate and high discretion categories. Correlation and multiple regression analysis methods were used to test for systematic relationships between a community's overall rate of hospital use and discretion-level mix of hospitalizations. RESULTS: Although about half of the variance in overall rates of hospital use among communities was found to be related to the discretion-level mix of hospital discharges, only a small portion of the explained variance could be attributed specifically to community differences in the prevalence of high discretion hospitalizations. CONCLUSIONS: High overall rates of hospital use in communities were not found to be largely the result of high discretion hospital use.

Aged↗

Managing hospitals in turbulent times: do organizational changes improve hospital survival?

OBJECTIVE: To examine (1) the degree to which organizational changes affected hospital survival; (2) whether core and peripheral organizational changes affected hospital survival differently; and (3) how simultaneous organizational changes affected hospital survival. DATA SOURCES: AHA Hospital Surveys, the Area Resource File, and the AHA Hospital Guides, Part B: Multihospital Systems. STUDY DESIGN: The study employed a longitudinal panel design. We followed changes in all community hospitals in the continental United States from 1981 through 1994. The dependent variable, hospital closure, was examined as a function of multiple changes in a hospital's core and peripheral structures as well as the hospital's organizational and environmental characteristics. Cox regression models were used to test the expectations that core changes increased closure risk while peripheral changes decreased such risk, and that simultaneous core and peripheral changes would lead to higher risk of closure. PRINCIPAL FINDINGS: Results indicated more peripheral than core changes in community hospitals. Overall, findings contradicted our expectations. Change in specialty, a core change, was beneficial for hospitals, because it reduced closure risk. The two most frequent peripheral changes, downsizing and leadership change, were positively associated with closure. Simultaneous organizational changes displayed a similar pattern: multiple core changes reduced closure risk, while multiple peripheral changes increased the risk. These patterns held regardless of the level of uncertainty in hospital environments. CONCLUSIONS: Organizational changes are not all beneficial for hospitals, suggesting that hospital leaders should be both cautious and selective in their efforts to turn their hospitals around.

American Hospital Association↗

Acute myocardial infarction in the Brazilian State of São Paulo. In-hospital deaths from 1979 to 1996 and hospital fatality from 1984 to 1998 in the public health system.

OBJECTIVE: To determine the following parameters in the Brazilian State of São Paulo: 1) the percentage of deaths due to acute myocardial infarction (AMI) occurring in hospitals; 2) the percentage of deaths due to AMI occurring in public health system hospitals as compared with all in-hospital deaths due to AMI between 1979 and 1996; 3) the fatality due to AMI in public health system hospitals from 1984 to 1998. METHODS: Data were available on the Datasus Web site (the health information agency of the Brazilian Department of Health) that provided the following: a) number of deaths resulting from AMI in hospitals; b) number of deaths resulting from AMI in public health system hospitals; c) number of hospital admissions due to AMI in public health system hospitals. RESULTS: The percentage of in-hospital deaths due to AMI increased from 54.9 in 1979 to 68.6 in 1996. The percentage contribution of the public health system to total number of deaths due to AMI occurring in hospitals decreased from 22.9 in 1984 to 13.7 in 1996; fatality due to AMI occurring in public health system hospitals had an irregular evolution from 1984 to 1992 and showed a slight trend for increased frequency from 1993 to 1998. CONCLUSION: The percentage of in-hospital deaths due to AMI has been increasing. Deaths resulting from AMI in public health system hospitals have decreased when compared with the total number of deaths due to AMI in all hospitals. Fatality due to AMI in public health system hospitals did not decrease from 1992 to 1998.

Brazil↗

Hospital-physician arrangements and hospital financial performance.

OBJECTIVES: The introduction of the Medicare Prospective Payment System and the more recent rise of managed care plans have greatly increased the importance of effective hospital financial management. Because physicians play a central role in directing hospital resource use, policies to influence physician behavior and to align physician and hospital interests more effectively are being advocated increasingly. This article evaluates the effect of nine strategies to facilitate physician involvement and integration into the hospital on hospital financial performance. METHODS: Data came primarily from the Prospective Payment Assessment Commission's hospital-physician relations survey of 1,485 hospitals and the Medicare Cost Reports. Both ordinary least squares and first differencing models were used to evaluate the effect of physician integration on hospital financial performance. RESULTS: Hospitals with lower margins and higher costs were more likely to have implemented strategies to integrate physicians and to modify physician behavior than their counterparts. Analysis using first differencing models indicated that making department heads responsible for the profits and losses had a significant positive effect on margins, whereas including medical staff on the hospital's board and offering physicians management services had a significant negative impact on average Medicare costs. In addition the number of strategies implemented was associated positively with financial performance. The paper also emphasizes the importance of model specification in evaluations of hospital-physician arrangements. CONCLUSIONS: Changes in hospital-physician relations may have been one reason why hospitals have been relatively successful at containing costs and retaining profitability in recent years. More research needs to be done on which specific arrangements affect hospital financial performance, as well as their effect on the quality of patient care.

Financial Management, Hospital↗

The effect of changes in hospital reimbursement on nurse staffing decisions at safety net and nonsafety net hospitals.

RESEARCH OBJECTIVE: The financial savings from the Balanced Budget Act (BBA) are attractive to policy makers, but such savings come at a cost. We measure changes in nurse staffing at hospitals related to potential declines in reimbursement through the BBA. STUDY DESIGN: Following Hadley, Zuckerman, and Feder (1989), we define a fiscal pressure index (FPI) to measure the differential effect of the BBA. We estimate the effect of the FPI on the number of full-time equivalent registered nurses (RN) and licensed practical nurses (LPN) per adjusted patient day using American Hospital Association (AHA) data of a panel of hospitals from 1996 to 2001. The AHA data are combined with the Area Resource Files and health maintenance organizations penetration data. We control for hospital heterogeneity using fixed effects. POPULATION STUDIED: All urban short-term general hospitals that responded to the staffing and uncompensated care questions in the AHA survey between 1996 and 2001. We define safety net hospitals as those with a high ratio of uncompensated costs to total hospital expenses (see, e.g., Zuckerman et al. 2001). PRINCIPAL FINDINGS: We find that the nonsafety net hospitals that were most susceptible to the provisions of the BBA experienced a decline in RN staffing ratios about twice the rate of the nonsafety net hospitals that were least susceptible to the BBA. We are unable to detect an effect of the BBA on staffing at safety net hospitals. CONCLUSIONS: RN and LPN staffing levels per adjusted patient day declined, on average, between 1996 and 2001. Within the context of the general decline, we find that RN staffing per adjusted patient day declined even more at nonsafety net hospitals that were most susceptible to lower reimbursement related to the BBA. Thus, there was a small but statistically significant incremental effect of potential BBA losses on RN staffing at hospitals that were expected to be affected most. This incremental decline represented about a 6 percent increase in nurse workload that in isolation might not affect quality. Nevertheless, the BBA contributed to the contemporaneous trends toward higher nurse workloads that could have deleterious effects on quality. In contrast, safety net hospitals did not respond to the provisions of the BBA by reducing staffing ratios. This conclusion is tempered by the fact that we have few safety net hospitals in the sample.

Algorithms↗

Relative performance of for-profit psychiatric hospitals in investor-owned systems and nonprofit psychiatric hospitals.

OBJECTIVE: The authors analyzed the differences in operational and financial performance between 42 matched pairs of for-profit psychiatric hospitals belonging to multifacility organizations and nonprofit psychiatric hospitals for the fiscal years ending in 1986 through 1990. METHOD: The pairs of short-term hospitals were matched according to location, standard metropolitan statistical area, or wage index. Analyses were based on data on these hospitals from the Health Care Financing Administration. The groups of variables studied included the hospitals' operational performance and productivity, profitability and payer mix, revenue and expenses, and capital structure. Differences in the mean values of the variables for the for-profit hospitals and the nonprofit hospitals were analyzed by pairwise t tests. RESULTS: The for-profit organization hospitals had significantly higher net revenue, lower salary expenses, and higher profits than the nonprofit hospitals. Patients in the for-profit hospitals had longer stays, and these hospitals had fewer full-time employees per adjusted inpatient day and per adjusted discharge. CONCLUSIONS: The higher prices and operating margins of the for-profit hospitals belonging to investor-owned systems reflect the profit-maximizing goal of these facilities. The ability of for-profit organization hospitals to achieve economies of scale in expenses, however, was not evident except in the case of salary expenses.

Bed Occupancy↗

Small rural hospitals and high-risk operations: how would regionalization affect surgical volume and hospital revenue?

BACKGROUND: Because higher hospital procedure volume is associated with better outcomes for many high-risk procedures, regionalization to higher-volume hospitals has been proposed as a way to improve quality of surgical care. The potential impact of such policies on small rural hospital volume and revenue is unknown. STUDY DESIGN: We identified all hospitalizations in small rural hospitals (less than 50 beds) in New York State from 1998 to 2001 that included an ICD-9 procedure code for 1 of 9 procedures for which there is a documented volume-outcomes association: abdominal aortic aneurysm repair, aortic-valve replacement, carotid endarterectomy, colectomy, coronary artery bypass, cystectomy, esophagectomy, pancreatectomy, or pulmonary resection. Revenue from these procedures was estimated using gross charges and payor-specific reimbursement rates. We then compared these estimates with total hospital inpatient revenue for each rural hospital. RESULTS: We identified 14 small rural hospitals where at least one of the nine procedures was performed. All included hospitalizations for colectomy. Aortic aneurysm repairs, cystectomies, and pancreatectomies were performed in three hospitals; carotid endarterectomy in two; and esophagectomy in one. In no hospitals were cardiac procedures or pulmonary resections performed. Estimated average contribution to hospital net revenue for all 9 procedures was approximately 2%, nearly all attributable to colectomy. CONCLUSIONS: If all aortic aneurysm repairs, major cardiothoracic procedures, carotid endarterectomies, cystectomies, and pancreatectomies in New York State were regionalized to higher-volume hospitals, no small rural hospitals would experience substantial impact in terms of rural hospital procedure volume and revenue. Even regionalization of colectomy would have a small impact on inpatient volume and revenue.

Aortic Aneurysm↗

A comparison between patients suffering in-hospital and out-of-hospital cardiac arrest in terms of treatment and outcome.

AIM: To compare treatment and outcome amongst patients suffering in-hospital and out-of-hospital cardiac arrest in the same community. PATIENTS: All patients suffering in-hospital cardiac arrest in Sahlgrenska University Hospital covering half the catchment area of the community of Göteborg (500 000 inhabitants) and all patients suffering out-of-hospital cardiac arrest in the community of Göteborg. Criteria for inclusion were that resuscitation efforts should have been attempted. TIME OF SURVEY: From 1 November 1994 to 1 November 1997. METHODS: Data were recorded both prospectively and retrospectively. RESULTS: In total, 422 patients suffered in-hospital cardiac arrest and 778 patients suffered out-of-hospital cardiac arrest. Patients with in-hospital cardiac arrest included more women and were more frequently found in ventricular fibrillation. The median interval between collapse and defibrillation was 2 min in in-hospital cardiac arrest compared with 7 min in out-of-hospital cardiac arrest (< 0.001). The proportion of patients being discharged from hospital was 37.5% after in-hospital cardiac arrest, compared with 8.7% after out-of-hospital cardiac arrest (P < 0.001). Corresponding figures for patients found in ventricular fibrillation were 56.9 vs. 19.7% (P < 0.001) and for patients found in asystole 25.2 vs. 1.8% (P < 0.001). CONCLUSION: In a survey evaluating patients with in-hospital and out-of-hospital cardiac arrest in whom resuscitation efforts were attempted, we found that the former group had a survival rate more than four times higher than the latter. Possible strong contributing factors to this observation are: (i) shorter time interval to start of treatment, and (ii) a prepared selection for resuscitation efforts.

Adolescent↗

Intensive care unit survivors have fewer hospital readmissions and readmission days than other hospitalized patients in British Columbia.

OBJECTIVE: Intensive care unit (ICU) patients who survive their hospital admission have a long-term survival that is similar to that of hospitalized patients who do not require ICU admission. The risk of future readmission to the hospital for these two patient groups is unknown. The objective of this study was to determine the association between ICU admission and number of readmissions to the hospital and number of readmission days. DESIGN: Cohort study for 3 yrs between 1994 and 1997. SETTING: All acute care hospitals in British Columbia, Canada. PATIENTS: A total of 23,859 patients admitted to the ICU and 40,052 patients admitted to the hospital but not the ICU (5% random sample of total). INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: We measured the number of readmissions to the hospital and the number of readmission days after discharge from the first admission to the hospital during the study period. For survivors to the end of the study period, patients who had been in the ICU had 0.66 readmissions per year and 5.29 readmission days per year compared with 0.73 readmissions per year and 5.48 readmission days per year for control subjects. After controlling for age, sex, socioeconomic status, number of previous ICU and hospital admissions, major clinical category during index admission, comorbidity score during index admission, length of hospital stay during index admission, size of index hospital, and period of follow-up, ICU admission was associated with fewer readmissions (survivors: rate ratio, 0.80; 95% confidence interval, 0.77-0.82; nonsurvivors: rate ratio, 0.85; 95%, confidence interval, 0.82-0.89) and readmission days (survivors: rate ratio, 0.91; 95% confidence interval, 0.87-0.95; nonsurvivors: rate ratio, 0.87; 95%, confidence interval, 0.81-0.92) than admission to the hospital but not the ICU. CONCLUSIONS: Survivors of a hospital stay that includes admission to an ICU have fewer hospital readmissions and readmission days after their discharge than do survivors of a hospital stay without intensive care.

Adolescent↗

Impact of hospital and surgeon volume on in-hospital mortality from radical cystectomy: data from the health care utilization project.

PURPOSE: We determined the influence of hospital and surgeon volume on various outcome parameters after radical cystectomy for bladder cancer. MATERIALS AND METHODS: All inpatient discharges after radical cystectomy for bladder cancer (1988 to 1999) from the Health Care Utilization Project-Nationwide Inpatient Sample were included in the analysis. Hospital and individual surgeon volume of discharges per year were separated into terciles. Outcome measures were in-hospital mortality, length of stay (LOS), and inflation adjusted charge per admission. Mortality was compared among hospital volume levels using the Mantel-Haenszel chi-square test while the LOS and charges were compared using ANOVA. Multivariate linear and logistic regression analyses were used to adjust for confounding factors. All the analyses were also performed in 3 different age strata (younger than 50 years, 50 to 69 years and 70 years or more). RESULTS: There were 13,964 patients who underwent radical cystectomy. Overall in-hospital mortality was 408 of 13,964 (2.9%), average LOS was 14 days (+/- SD 10.28) and average charges were 47,146 dollars (+/- SD 45,263 dollars). In-hospital mortality was significantly associated with higher volume particularly for patients older than 50 years. Surgeon volume did not influence in-hospital mortality except for patients in the 50 to 69-year-old age group. Results of multivariate regression analysis demonstrated hospital volume was a significant predictor of in-hospital mortality but this effect was lost when controlling for surgeon volume. LOS was significantly higher for low volume surgeons. High volume hospitals had lower average total charges compared with the low and moderate volume hospitals. CONCLUSIONS: Hospital and surgeon volume have a significant impact on in-hospital mortality and LOS after radical cystectomy. Radical cystectomy performed at a higher volume center may result in lower charges and shorter hospital stay while decreasing the likelihood of in-hospital mortality.

Aged↗

Hospital initiatives in promoting smoking cessation: a survey of Internet and hospital-based programs targeted at consumers.

STUDY OBJECTIVES: This study assesses how often local US hospitals provide smoking cessation information in the following two ways: via hospital Web sites; and via routing incoming phone calls to their hospital switchboards to an in-house smoking cessation clinic. DESIGN: Random survey of US hospitals. SETTING: US hospital Web pages and telephone switchboards. PATIENTS OR PARTICIPANTS: One hundred two randomly selected US hospitals. INTERVENTIONS: One hundred two hospital Web sites were randomly selected across the United States. The site was searched for the topic of smoking cessation. In the second phase of the survey, the main switchboard number of the same 102 hospitals was anonymously called and the "stop smoking clinic" was asked for. MEASUREMENTS AND RESULTS: The overall results indicate that among the hospital Web sites surveyed, only 30% contained information relating to smoking cessation programs. The phone survey of hospital switchboards showed that 47% had a smoking cessation program available via phone inquiry, while 53% did not. CONCLUSIONS: Of the US hospital Web sites visited, only 30% contained information on smoking cessation. The yield of finding the desired information was increased by the presence of an intrasite search option, which is a low-cost enhancement to any complex Web site. The relatively low cost of promoting healthy behaviors such as smoking cessation on a hospital Web site should be used more widely. Surprisingly, the phone survey of hospitals showed that the lower technology route of providing smoking cessation information to patients via a patient-initiated phone call is only available in 47% of hospitals. Both the Internet and phone-based switchboard referrals could be more widely and effectively used. Joint Commission on Accreditation of Healthcare Organizations guidelines would be one avenue of increasing the availability of smoking cessation information at hospital switchboards and Web sites.

Health Care Surveys↗

Pressure ulcers, hospital complications, and disease severity: impact on hospital costs and length of stay.

OBJECTIVE: To determine whether or not the development of a Stage II or greater pressure ulcer in-hospital is associated with increased hospital costs and length of stay after adjusting for admission severity of illness, comorbidities, nosocomial infections, and other hospital complications. DESIGN: Prospective, inception cohort study. SETTING: Tertiary care, urban, university teaching hospital. PARTICIPANTS: 286 patients identified within 3 days of admission to a tertiary care, urban teaching hospital were enrolled in a prospective, inception cohort study. Patients were age 55 or greater; expected to be confined to bed or chair or with a hip fracture; and expected to remain in hospital at least 5 days. MEASUREMENTS: Baseline data were collected within 3 days of admission. Weekly skin assessments were performed by study nurses to document the development of pressure ulcers. Medical record reviews, patient exams, and physician and nurse interviews were used to obtain baseline demographic, medical, functional, nutritional, and global measures of disease severity. The incidence of nosocomial infections and the number of other hospital complications were monitored by medical record reviews. Hospital costs were estimated using category-specific cost-to-charge ratios. Diagnostic-related group (DRG) adjusted length of stay was calculated by subtracting the mean length of stay for assigned DRGs from actual stays. RESULTS: Incident pressure ulcers were associated with significantly higher mean unadjusted hospital costs ($37,288 vs $13,924, P = 0.0001) and length of stay (30.4 vs 12.8 days, P = 0.0001). In addition to pressure ulcers, other independent predictors of hospital costs and length of stay after multivariable analyses included: admission to an intensive care unit or surgical service, younger age, nosocomial infection, the physician assessment of disease severity, and the number of other hospital complications. Compared with those who did not develop pressure ulcers, patients who developed pressure ulcers also were more likely to develop nosocomial infections (45.9% [17/37] vs 20.1% [50/249], P = 0.001) and other hospital complications (86.5% [32/37] vs 43.0% [107/249], P < 0.001). After adjusting for only the admission predictors of costs and length of stay by multivariable analyses, hospital costs, and length of stay for those who developed pressure ulcers remained significantly greater than for those who did not develop pressure ulcers ($14,260 vs $12,382, P = 0.03, and 16.9 vs 12.9 days, P = 0.02, respectively). The differences in costs and length of stay for those with and without incident pressure ulcers were even greater when adjusted for admission predictors and also the occurrence of nosocomial infections and other complications ($29,048 vs $13,819, P = 0.002, and 20.9 vs 12.7 days, P = 0.0001, respectively). CONCLUSION: Incident pressure ulcers are associated with substantial and significant increases in hospital costs and length of stay. Nosocomial infections and other hospital complications are additional significant independent predictors of health care utilization among patients at risk for pressure ulcers.

Aged↗

Do variations in disease prevalence limit the usefulness of population-based hospitalization rates for studying variations in hospital admissions?

BACKGROUND: Studies of geographic variation in hospitalizations commonly examine age- and gender-adjusted population-based hospitalization rates (ie, the numbers of persons hospitalized relative to what is expected given the age/gender distributions in the area population). OBJECTIVE: To determine whether areas identified as extreme using population-based hospitalization rates remain extreme when ranked by disease-based hospitalization rates (the numbers of persons hospitalized relative to what is expected given the amount of disease in the area). DESIGN: The authors examined 1997 Medicare data on both inpatient admissions and outpatient visits of patients 65 years and older in each of 71 small areas in Massachusetts for 15 medical conditions. For each area, the number of people having each condition was calculated as the sum of those hospitalized plus those treated as outpatients only. The authors used hierarchical Bayesian modeling to estimate area-specific population-based hospitalization rates, disease-based hospitalization rates (DHRs), and disease prevalence. MAIN OUTCOME MEASURE: The extent to which the same areas were identified as extreme based on population-based hospitalization rates versus DHRs. RESULTS: Area-specific population-based hospitalization rates, DHRs, and disease prevalence varied substantially. Areas identified as extreme using population-based hospitalization rates often were not extreme when ranked by DHRs. For 11 of the 15 conditions, 5 or more of the 14 areas ranked in top and bottom deciles by population-based hospitalization rates were more likely than not (ie, with probability > or = 0.50) to be at least 2 deciles less extreme when ranked by DHRs. CONCLUSION: Differences in disease prevalence can limit the usefulness of population-based hospitalization rates for studying variations in hospital admissions.

Aged↗

[Quality management and quality assurance in the hospital with special reference to hospital public health].

Due to the law of health reform and health structure the hospitals in the Federal Republic of Germany are asked to not only think about cost reduction but at the same time to also face the requirements of quality management (QM) and quality assurance (QA). For the field of medical and care taking treatment of patients in the hospital the term "quality" can be described as the total of characteristics of the medical services necessary for the realization of all requirements which lead to an optimal patient treatment. Hospital hygiene as part of hygiene in the broader sense deals with the bases of disease prevention of all persons actively or passively connected with the institution hospital as well as with the natural and social hospital environment and, thus, in every respect proves to be a guide discipline for the realization of QM and QA in the hospital. For the realization of an overall concept for QM and QA in the hospital three categories of quality have proved to be worthwhile, namely the structure quality which deals with the quality related arrangement of the frame conditions of hospital productivity the process quality which comprises the improvement of diagnostic, therapeutic, care taking and medical activities in the hospital as well as interactions between the hospital staff and the patient or his relatives, and the outcome quality, which judges the changes in the patient's condition by means of predefined target values. Furthermore, QM in the hospital needs detailed informative activities (initial stage of information) as well as motivating measures (initial stage of conduct) whereas latter has to be considered as an essential basis for a staff-related realization of quality assurance measures in the hospital. Possibilities for a practical realization of QM and QA are shown by means of the modular concept established in the Clinics of the University of Heidelberg. Thereby, one could experience that a successful QM in the hospital requires the declared willingness of the hospital leadership to regard quality as the main theme of medical services and that QM has to be carried out staff-orientated for only by improvement of the employers' activities on all levels of the hospital gains the medical process of service its quality.

Cross Infection↗

General surgery programs in small rural New York State hospitals: a pilot survey of hospital administrators.

CONTEXT: Hospitals play a central role in small rural communities and are frequently one of the major contributors to the local economy. Surgical services often account for a substantial proportion of hospital revenues. The current shortage of general surgeons practicing in rural communities may further threaten the financial viability of rural hospitals and communities. PURPOSE: To describe hospital administrators' perceptions regarding the current state of general surgery programs at small rural hospitals in New York State, including the impact that surgical services have on hospital financial viability. METHODS: A list of hospitals belonging to the rural hospitals group of the Healthcare Association of New York State was obtained to determine prospective survey recipients. Sixty-eight administrators at each of the identified hospitals were subsequently surveyed and 38 respondents met all inclusion criteria. FINDINGS: Approximately 87% of hospital administrators perceive that the general surgery program is critical to the hospital's financial viability. Forty percent of respondents report that they would be forced to close the hospital if the surgical program was lost. Among the 42% of administrators trying to recruit a general surgeon, almost two thirds have been searching for more than 1 year. CONCLUSIONS: According to the perceptions of hospital administrators, the financial viability of rural hospitals in New York State depends in large part on their ability to provide surgical services. Additionally, general surgeons appear to be in high demand at a significant number of the surveyed institutions.

Health Care Surveys↗

In-hospital mortality and morbidity after surgical treatment of unruptured intracranial aneurysms in the United States, 1996-2000: the effect of hospital and surgeon volume.

OBJECTIVE: We sought to determine the risk of adverse outcome after contemporary surgical treatment of patients with unruptured intracranial aneurysms in the United States. Patient, surgeon, and hospital characteristics were tested as potential outcome predictors, with particular attention to the surgeon's and hospital's volume of care. METHODS: We performed a retrospective cohort study with the Nationwide Inpatient Sample, 1996 to 2000. Multivariate logistic and ordinal regression analyses were performed with endpoints of mortality, discharge other than to home, length of stay, and total hospital charges. RESULTS: We identified 3498 patients who were treated at 463 hospitals, and we identified 585 surgeons in the database. Of all patients, 2.1% died, 3.3% were discharged to skilled-nursing facilities, and 12.8% were discharged to other facilities. The analysis adjusted for age, sex, race, primary payer, four variables measuring acuity of treatment and medical comorbidity, and five variables indicating symptoms and signs. The statistics for median annual number of unruptured aneurysms treated were eight per hospital and three per surgeon. High-volume hospitals had fewer adverse outcomes than hospitals that handled comparatively fewer unruptured aneurysms: discharge other than to home occurred after 15.6% of operations at high-volume hospitals (20 or more cases/yr) compared with 23.8% at low-volume hospitals (fewer than 4 cases/yr) (P = 0.002). High surgeon volume had a similar effect (15.3 versus 20.6%, P = 0.004). Mortality was lower at high-volume hospitals (1.6 versus 2.2%) than at hospitals that handled comparatively fewer unruptured aneurysms, but not significantly so. Patients treated by high-volume surgeons had fewer postoperative neurological complications (P = 0.04). Length of stay was not related to hospital volume. Charges were slightly higher at high-volume hospitals, partly because arteriography was performed more frequently than at hospitals that handled comparatively fewer unruptured aneurysms. CONCLUSION: For patients with unruptured aneurysms who were treated in the United States between 1996 and 2000, surgery performed at high-volume institutions or by high-volume surgeons was associated with significantly lower morbidity and modestly lower mortality.

Adolescent↗

[Occurrence of hospital infection among interned elderly in a university hospital].

OBJECTIVE: Hospital infection is an important cause of morbidity and mortality in the elderly population. The objective of this study was to evaluate the occurrence of hospital infection and risk factors associated with it. METHODS: This is a prospective study of a sample of 332 elderly people, 60 years and older, interned in a university hospital, between September 1999 and February 2000. Sample size was calculated according to the Fisher and Belle formula, with a confidence interval of 0.95%, from a total of 760 elderly patients interned, in proportion to the number of patients present in each in-patient unit, in the 1997. Criteria for defining hospital infection were those established by the Center for Diseases and Prevention Control. Odds ratio and logistic regression were utilized for statistical analysis of the data. RESULTS: The rate of hospital infection was 23.6%. The prevalent topographies of infection were respiratory infections (27.6%), urinary tract infections (26.4%) and surgical wound infections (23.6%). The period of hospitalization of patients who did have hospital infections was 6.9 days, while those who had hospital infections were hospitalized for 15.9 days (p<0.05). Mortality rate among hospitalized patients was 9.6% and the rate of lethality among patients with hospital infection was 22.9% (p<0.05). Risk factors found for hospital infection were cholangiography (odds ratio (OR) =46.4, confidence interval 95% (CI95%) =4.4-485); diabetes mellitus (OR=9.9, CI 95% =4.4-22.3); chronic obstructive pulmonary disease (OR=8.3, CI 95% =2.9-23.7); urinary catheters (OR=5, CI 95% =2.7-11.8); hospitalization with community infection (OR=3.9, CI 95% =1.7-8.9) and mechanic ventilation (OR=3.8, CI 95% =1.9-6.3). CONCLUSIONS: Hospital infection presented elevated incidence and lethality and it increased the period of hospitalization among the elderly studied.

Aged↗

Pre- and in-hospital delay in treatment and in-hospital mortality after acute myocardial infarction.

PURPOSE: 1) To identify the time taken from symptom onset to the arrival at the hospital (pre-hospital delay time) and time taken from the arrival at the hospital to the initiation of the major treatment (in-hospital delay time) 2) to examine whether rapid treatment results in lower mortality. 3) to examine whether the pre- and in-hospital delay time can independently predict in-hospital mortality. METHODS: A retrospective study with 586 consecutive AMI patients was conducted. RESULTS: Pre-hospital delay time was 5.25 (SD=10.36), and in-hospital delay time was 1.10 (SD=1.00) hours for the thrombolytic therapy and 50.24 (SD=121.18) hours for the percutaneous transluminal coronary angioplasty(PTCA). In-hospital mortality was the highest when the patients were treated between 4 to 48 hours after symptom onset using PTCA (p=.02), and when treated between 30 minutes and one hour after hospital arrival using thrombolytics (p=.01). Using a hierarchical logistic regression model, the pre- and in-hospital delay times did not predict the in-hospital mortality. CONCLUSION: Pre- and in-hospital delay times need to be decreased to meet the desirable therapeutic time window. Thrombolytics should be given within 30 minutes after arrival at the hospital, and PTCA should be initiated within 4 hours after symptom onset to minimize in-hospital mortality of AMI patients.

Journal Article↗