Baseline NIH stroke scale responses estimate the probability of each particular stroke subtype.

BACKGROUND: Emergency treatment of ischemic stroke should ideally be mechanism specific, but acute subtype diagnosis is problematic. Since different subtypes often are associated with specific patterns of neurological deficits, we hypothesize that scores on baseline NIH stroke scale (NIHSS) items may help emergently stratify patients by their probability of having a particular stroke subtype. METHODS: We performed multivariate polytomous logistic regression analyses on 1,281 patients enrolled in the Trial of ORG 10172 in Acute Stroke Treatment (TOAST). We tested the predictive value of individual items to the baseline NIHSS exam, and syndromic combinations of those items, in anticipating the TOAST stroke subtype at 3 months adjusting for atrial fibrillation. We then used the most significant NIHSS items to construct a predictive model. RESULTS: The NIHSS items that discriminate between stroke subtypes are language, neglect, visual field and brachial predominance of weakness. Among patients without atrial fibrillation, a normal score for these 4 variables conveys a 46% chance of lacunar stroke, 12% of atherothrombotic stroke and 10% of cardioembolism. This pattern gradually reverses with increased numbers of abnormal responses. Those with abnormalities in all 4 items have a 0.1% chance of lacunar stroke, 50% of atherothrombotic stroke and 39% of cardioembolism. CONCLUSIONS: Language, neglect, visual fields and brachial predominance of weakness in the baseline NIHSS help discriminate between subtypes, particularly between lacunar and nonlacunar strokes. Clinical trials testing interventions aimed to particular stroke mechanisms may use these NIHSS items to emergently stratify patients based on their probability of having a particular stroke subtype.

Do faculty and resident physicians discuss their medical errors?

BACKGROUND: Discussions about medical errors facilitate professional learning for physicians and may provide emotional support after an error, but little is known about physicians' attitudes and practices regarding error discussions with colleagues. METHODS: Survey of faculty and resident physicians in generalist specialties in Midwest, Mid-Atlantic and Northeast regions of the US to investigate attitudes and practices regarding error discussions, likelihood of discussing hypothetical errors, experience role-modelling error discussions and demographic variables. RESULTS: Responses were received from 338 participants (response rate = 74%). In all, 73% of respondents indicated they usually discuss their mistakes with colleagues, 70% believed discussing mistakes strengthens professional relationships and 89% knew at least one colleague who would be a supportive listener. Motivations for error discussions included wanting to learn whether a colleague would have made the same decision (91%), wanting colleagues to learn from the mistake (80%) and wanting to receive support (79%). Given hypothetical scenarios, most respondents indicated they would likely discuss an error resulting in no harm (77%), minor harm (87%) or major harm (94%). Fifty-seven percent of physicians had tried to serve as a role model by discussing an error and role-modelling was more likely among those who had previously observed an error discussion (OR 4.17, CI 2.34 to 7.42). CONCLUSIONS: Most generalist physicians in teaching hospitals report that they usually discuss their errors with colleagues, and more than half have tried to role-model discussions. However, a significant number of these physicians report that they do not usually discuss their errors and some do not know colleagues who would be supportive listeners.

Valve type and long-term outcomes after aortic valve replacement in older patients.

OBJECTIVE: To compare outcomes after aortic valve replacement (AVR) according to valve type specifically in older patients since valve-related risks are age-dependent; two randomised trials comparing mechanical and bioprosthetic valves found better outcomes with mechanical valves, but the samples were small and the patients were considerably younger than most who undergo AVR. DESIGN: Cohort study. SETTING: 1199 US hospitals. PATIENTS: Patients 65 years and older undergoing AVR during 1991-2003 (n = 307 054) identified through Medicare claims data. MAIN OUTCOME MEASURES: Relative hazard ratios associated with bioprosthetic valves of (1) death (n = 131,719); (2) readmission for haemorrhage (n = 31,186), stroke (n = 25,051) or embolism (n = 5870); (3) reoperation (n = 4216); and (4) death or reoperation (reoperation free survival) in Cox regression analyses adjusting for demographic and clinical factors and hospital-level effects. RESULTS: Overall, 36% of AVR patients received bioprosthetic valves. Bioprosthetic valve recipients were older (77 vs 75 years, p<0.001) and generally had higher comorbidity. Bioprosthetic valve recipients had a slightly lower adjusted hazard ratios of death (HR = 0.97; 95% CI 0.95 to 0.98); readmission for haemorrhage, stroke or embolism (HR = 0.90, 95% CI 0.88 to 0.92); and death or reoperation (HR = 0.97, 95% CI 0.96 to 0.98), but a higher hazard ratio of reoperation (HR = 1.25, 95% CI 1.16 to 1.35). However, overall mortality and complication rates were more than 20 and 10 times higher, respectively, than the overall reoperation rate. CONCLUSIONS: In older patients undergoing AVR, bioprosthetic valve recipients had slightly lower risks of death and complications, but a higher risk of reoperation. Given the low reoperation rate, these data suggest that bioprosthetic valves may be preferred in older patients.

Internists' attitudes towards terminal sedation in end of life care.

OBJECTIVE: To describe the frequency of support for terminal sedation among internists, determine whether support for terminal sedation is accompanied by support for physician assisted suicide (PAS), and explore characteristics of internists who support terminal sedation but not assisted suicide. DESIGN: A statewide, anonymous postal survey. SETTING: Connecticut, USA. PARTICIPANTS: 677 Connecticut members of the American College of Physicians. MEASUREMENTS: Attitudes toward terminal sedation and assisted suicide; experience providing primary care to terminally ill patients; demographic and religious characteristics. RESULTS: 78% of respondents believed that if a terminally ill patient has intractable pain despite aggressive analgesia, it is ethically appropriate to provide terminal sedation (diminish consciousness to halt the experience of pain). Of those who favoured terminal sedation, 38% also agreed that PAS is ethically appropriate in some circumstances. Along a three point spectrum of aggressiveness in end of life care, the plurality of respondents (47%) were in the middle, agreeing with terminal sedation but not with PAS. Compared with respondents who were less aggressive or more aggressive, physicians in this middle group were more likely to report having more experience providing primary care to terminally ill patients (p = 0.02) and attending religious services more frequently (p<0.001). CONCLUSIONS: Support for terminal sedation was widespread in this population of physicians, and most who agreed with terminal sedation did not support PAS. Most internists who support aggressive palliation appear likely to draw an ethical line between terminal sedation and assisted suicide.

Risk adjusting cesarean delivery rates: a comparison of hospital profiles based on medical record and birth certificate data.

OBJECTIVES: Compare the discrimination of risk-adjustment models for primary cesarean delivery derived from medical record data and birth certificate data and determine if the two types of models yield similar hospital profiles of risk-adjusted cesarean delivery rates. DATA SOURCES/STUDY SETTING: The study involved 29,234 women without prior cesarean delivery admitted for labor and delivery in 1993-95 to 20 hospitals in northeast Ohio for whom data abstracted from patient medical records and data from birth certificates could be linked. STUDY DESIGN: Three pairs of multivariate models of the risk of cesarean delivery were developed using (1) the full complement of variables in medical records or birth certificates; (2) variables that were common to the two sources; and (3) variables for which agreement between the two data sources was high. Using each of the six models, predicted rates of cesarean delivery were determined for each hospital. Hospitals were classified as outliers if observed and predicted rates of cesarean delivery differed (p < .05). PRINCIPAL FINDINGS: Discrimination of the full medical record and birth certificate models was higher (p < .001) than the discrimination of the more limited common and reliable variable models. Based on the full medical record model, six hospitals were classified as statistical (p < .01) outliers (three high and three low). In contrast, the full birth certificate model identified five low and four high outliers, and classifications differed for seven of the 20 hospitals. Even so, the correlation between adjusted hospital rates was substantial (r = .71). Interestingly, correlations between the full medical record model and the more limited common (r = .84) and reliable (r = .88) variable birth certificate models were higher, and differences in classification of hospital outlier status were fewer. CONCLUSION: Birth certificates can be used to develop cesarean delivery risk-adjustment models that have excellent discrimination. However, using the full complement of birth certificate variables may lead to biased hospital comparisons. In contrast, limiting models to data elements with known reliability may yield rankings that are more similar to rankings based on medical record data.

Use of complementary and alternative medicine by older patients with arthritis: a population-based study.

OBJECTIVE: To determine the prevalence of complementary and alternative medicine (CAM) use and to identify factors associated with its use in older patients with arthritis. METHODS: A population-based telephone survey of 480 elderly patients with arthritis was conducted to determine demographics, comorbidities, health status, arthritis symptoms, and the use of CAM and traditional providers and treatments for arthritis. RESULTS: CAM provider use was reported by 28% of respondents, and 66% reported using one or more CAM treatments. Factors independently related to CAM provider use (P < 0.05) included podiatrist or orthotist use, physician visits for arthritis, and fair or poor self-reported health. For CAM treatments, independent associations were found with physical or occupational therapist use, physician visits for arthritis, chronic obstructive pulmonary disease, and alcohol abstinence. Rural residence, age, income, education, and health insurance type were unrelated to CAM use. CONCLUSION: Many older patients with arthritis reported seeing CAM providers, and most used CAM treatments. The use of CAM for arthritis was most common among those with poorer self-assessed health and higher use of traditional health care resources.

Length of stay as a source of bias in comparing performance in VA and private sector facilities: lessons learned from a regional evaluation of intensive care outcomes.

OBJECTIVES: Compare intensive care unit (ICU) mortality and length of stay (LOS) in a VA hospital and private sector hospitals and examine the impact of hospital utilization on mortality comparisons. RESEARCH DESIGN: Retrospective cohort study. SUBJECTS: Consecutive ICU admissions to a VA hospital (n = 1,142) and 27 private sector hospitals (n = 51,249) serving the same health care market in 1994 to 1995. MEASURES: Mortality and ICU LOS were adjusted for severity of illness using a validated method that considers physiologic data from the first 24 hours of ICU admission. Mortality comparisons were made using two different multivariable techniques. RESULTS: Unadjusted in-hospital mortality was higher in VA patients (14.5% vs. 12.0%; P = 0.01), as was hospital (28.3 vs. 11.3 days; P <0.001) and ICU (4.3 vs. 3.9 days; P <0.001) LOS. Using logistic regression to adjust for severity, the odds of death was similar in VA patients, relative to private sector patients (OR 1.16, 95% CI 0.93-1.44; P = 0.18). However, a higher proportion of VA deaths occurred after 21 hospital days (33% vs. 13%; P <0.001). Using proportional hazards regression and censoring patients at hospital discharge, the risk for death was lower in VA patients (hazard ratio 0.70; 95% CI 0.59-0.82; P <0.001). After adjusting for severity, differences in ICU LOS were no longer significant (P = 0.19). CONCLUSIONS: Severity-adjusted mortality in ICU patients was lower in a VA hospital than in private sector hospitals in the same health care market, based on proportional hazards regression. This finding differed from logistic regression analysis, in which mortality was similar, suggesting that comparisons of hospital mortality between systems with different hospital utilization patterns may be biased if LOS is not considered. If generalizable to other markets, our findings further suggest that ICU outcomes are at least similar in VA hospitals.

Outcomes-based trial of an inpatient nurse practitioner service for general medical patients.

Although teaching hospitals are increasingly using nurse practitioners (NPs) to provide inpatient care, few studies have compared care delivered by NPs and housestaff or the ability of NPs to admit and manage unselected general medical patients. In a Midwest academic teaching hospital 381 patients were randomized to general medical wards staffed either by NPs and a medical director or medical housestaff. Data were obtained from medical records, interviews and hospital databases. Outcomes were compared on both an intention to treat (i.e. wards to which patients were randomized) and actual treatment (i.e. wards to which patients were admitted) basis. At admission, patients assigned randomly to NP-based care (n = 193) and housestaff care (n= 188) were similar with respect to demographics, comorbidity, severity of illness and functional parameters. Outcomes at discharge and at 6 weeks after discharge were similar (P>0.10) in the two groups, including: length of stay; charges; costs; consultations; complications; transfers to intensive care; 30-day mortality; patient assessments of care; and changes in activities of daily living, SF-36 scores and symptom severity. However, after randomization, 90 of 193 patients (47%) assigned to the NP ward were actually admitted to housestaff wards, largely because of attending physicians and NP requests. None the less, outcomes of patients admitted to NP and housestaff wards were similar (P>0.1). NP-based care can be implemented successfully in teaching hospitals and, compared to housestaff care, may be associated with similar costs and clinical and functional outcomes. However, there may be important obstacles to increasing the number of patients cared for by NPs, including physician concerns about NPs' capabilities and NPs' limited flexibility in managing varying numbers of patients and accepting off-hours admissions.

Using severity-adjusted mortality to compare performance in a Veterans Affairs hospital and in private-sector hospitals.

The objective of this study was to compare hospital mortality in Veterans Affairs (VA) and private-sector patients. The study included 5016 patients admitted to 1 VA hospital. Admission severity of illness was measured using a commercial methodology that was developed in a nationwide database of 850,000 patients from 111 private-sector hospitals. The method uses data abstracted from patients' medical records to predict the risk of death in individual patients, based on the normative database. Analyses compared actual and predicted mortality rates in VA patients. VA patients had higher (P < .05) severity of illness than private-sector patients. The observed mortality rate in VA patients was 4.0% and was similar (P = .09) to the predicted risk of death (4.4%; 95% confidence interval 4.0-4.9%). In subgroup analyses, actual and predicted mortality rates were similar in medical and surgical patients and in groups stratified according to severity of illness, except in the highest severity stratum, in which actual mortality was lower than predicted mortality (57% vs 73%; P < .001). We found that in-hospital mortality in 1 VA hospital and a nationwide sample of private-sector hospitals were similar, after adjusting for severity of illness. Although not directly generalizable to other VA hospitals, our findings nonetheless suggest that the quality of VA and private-sector care may be similar with respect to one important and widely used measure.

Effectiveness of ERCP in cholangitis: a community-based study.

BACKGROUND: Although experts have demonstrated the efficacy of endoscopic retrograde cholangiopancreatography (ERCP) in cholangitis, the effectiveness of ERCP in unselected patients has not been measured. The aim was to investigate the clinical impact of ERCP performed at any time and of early ERCP (within 24 hours of admission) in patients with a primary discharge diagnosis of cholangitis. METHODS: A retrospective record review of patients admitted to eight area hospitals with an International Classification of Diseases (ICD)-9 diagnosis consistent with cholangitis was performed. Extracted data included clinical characteristics, ERCP findings, and patient outcome. The associations of ERCP overall and early ERCP with length of stay were examined. Confounding factors including severity of illness, etiology of cholangitis, and hospital type were adjusted for in a multivariate analysis. RESULTS: A total of 116 patients were studied. ERCP was performed in 71 patients with endoscopic therapy administered in 57 (80%). ERCP overall was not associated with any change in length of hospital stay. However, compared with other invasive biliary procedures, ERCP was associated with a shorter hospital stay (median 5 vs. 9.5 days, p = 0.01) and a 36% (95% CI [5%, 57%]) reduction in severity-adjusted length of stay. Patients who had early ERCP had a significantly shorter hospital stay than those who had delayed ERCP (median 4 vs. 7 days, p < 0.005) and early ERCP was associated with a 34% (95% CI [11%, 48%]) reduction in severity-adjusted length of stay. CONCLUSION: Early ERCP may be an effective strategy for shortening the length of stay in patients hospitalized with cholangitis.

Use of intensive care-specific interventions in major teaching and other hospitals: a regional comparison.

OBJECTIVE: To compare the use of 40 specific medical interventions in intensive care units (ICUs) of major teaching and other hospitals DESIGN: Retrospective cohort study. SETTING: Thirty-eight ICUs in 28 hospitals in a large metropolitan region. PATIENTS: A total of 12,929 consecutive eligible admissions to medical, surgical, neurologic, or mixed medical/surgical ICUs between January 1, and June 30, 1994. MEASUREMENTS: The use of 40 diagnostic and therapeutic interventions during the first 24 hrs of ICU admission were obtained from patient medical records and a weighted intervention score was determined for each patient. Admission severity of illness was measured by using the Acute Physiology and Chronic Health Evaluation III methodology. MAIN RESULTS: Patients at the five teaching hospitals had a greater severity of illness (mean predicted risk of in-hospital death, 15.1%+/-21.9% vs. 11.2%+/-19.0%; p < .01) than patients at the 23 other hospitals. Patients at major teaching hospitals also had higher mean intervention scores (3.5+/-4.9 vs. 2.3+/-3.7; p < .01). Differences in intervention scores persisted after controlling for severity of illness, admission diagnosis, and admission source. However, scores varied among the major teaching hospitals. When examined individually, only three of the five major teaching hospitals had higher (p < .05) interventions scores, compared with other hospitals, whereas one had a lower (p < .05) intervention score. CONCLUSIONS: Patients in ICUs at major teaching hospitals were, in aggregate, more likely to receive diagnostic and therapeutic interventions than patients at other hospitals. Variation among major teaching hospitals suggests that factors other than teaching status also affect the use of these interventions.

The accuracy of diagnosis and procedural codes for patients with upper GI hemorrhage.

BACKGROUND: Little is known about the accuracy of diagnostic and procedural codes for common gastrointestinal (GI) conditions and endoscopic procedures. METHODS: Eight hundred eighty-two patients with upper GI hemorrhage admitted in 1994 to 1 of 13 regional hospitals were studied. Based on endoscopy reports, the source of hemorrhage, performance of upper endoscopy and use of endoscopic therapy were determined, and we assessed the sensitivity and positive predictive value of discharge codes for measuring the source of hemorrhage and use of upper endoscopy. RESULTS: The sensitivity and positive predictive value of principal diagnosis coding for source of hemorrhage were typically 85% to 95%. The sensitivity and predictive value of coding for upper endoscopy were 97.7% and 99.9%, respectively, and were 72.3% and 99.4%, respectively, for endoscopic therapy. Accuracy did not differ between the 4 major teaching and 9 other hospitals. CONCLUSIONS: Hospital-based diagnostic and procedural codes are a reasonably accurate source of data for clinical and outcomes analyses of upper GI hemorrhage. In particular, it is possible to discern from these data the source of hemorrhage and the overall use of upper endoscopy.

Relationships between in-hospital and 30-day standardized hospital mortality: implications for profiling hospitals.

OBJECTIVE: To examine the relationship of in-hospital and 30-day mortality rates and the association between in-hospital mortality and hospital discharge practices. DATA SOURCES/STUDY SETTING: A secondary analysis of data for 13,834 patients with congestive heart failure who were admitted to 30 hospitals in northeast Ohio in 1992-1994. DESIGN: A retrospective cohort study was conducted. DATA COLLECTION: Demographic and clinical data were collected from patients' medical records and were used to develop multivariable models that estimated the risk of in-hospital and 30-day (post-admission) mortality. Standardized mortality ratios (SMRs) for in-hospital and 30-day mortality were determined by dividing observed death rates by predicted death rates. PRINCIPAL FINDINGS: In-hospital SMRs ranged from 0.54 to 1.42, and six hospitals were classified as statistical outliers (p <.05); 30-day SMRs ranged from 0.63 to 1.73, and seven hospitals were outliers. Although the correlation between in-hospital SMRs and 30-day SMRs was substantial (R = 0.78, p < .001), outlier status changed for seven of the 30 hospitals. Nonetheless, changes in outlier status reflected relatively small differences between in-hospital and 30-day SMRs. Rates of discharge to nursing homes or other inpatient facilities varied from 5.4 percent to 34.2 percent across hospitals. However, relationships between discharge rates to such facilities and in-hospital SMRs (R = 0.08; p = .65) and early post-discharge mortality rates (R = 0.23; p = .21) were not significant. CONCLUSIONS: SMRs based on in-hospital and 30-day mortality were relatively similar, although classification of hospitals as statistical outliers often differed. However, there was no evidence that in-hospital SMRs were biased by differences in post-discharge mortality or discharge practices.

Differences in patient-reported processes and outcomes between men and women with myocardial infarction.

OBJECTIVE: Previous research measuring differences in the care between men and women with myocardial infarction has focused on differences in procedure use and mortality. However, little is known about differences in processes and outcomes that are reported by patients, such as interpersonal processes of care and health status. Our goal was to measure differences in patient-reported measures for men and women who recently were hospitalized with myocardial infarction. PARTICIPANTS AND SETTING: We surveyed by mail patients with myocardial infarction discharged to home from one of 27 Cleveland area hospitals 3 months following discharge; 502 (64%) of 783 patients responded. The mean age of subjects was 65 years and 40% were women. MEASUREMENTS: Process measures included the quality of communication during the hospitalization and at time of discharge and reports of health education discussions during hospitalization. Outcome measures included physical and mental health component scores of the Medical Outcomes Study 36-Item Short-Form Health Survey, change in work status, and days spent in bed because of ill health. We compared processes and outcomes in men and women using multivariate analyses that adjusted for age, other demographic characteristics, comorbid conditions, severity of the myocardial infarction, and premorbid global health status. MAIN RESULTS: In multivariate analyses, women were as likely as men to report at least one problem with communication during the hospitalization (odds ratio [OR] 0.86; 95% confidence interval [95% CI] 0.56 to 1. 33) or at time of discharge (OR 1.24; 95% CI, 0.82 to 1.89) and to report that they were given dietary advice before discharge (OR 0. 60; 95% CI, 0.36 to 1.01), were told what to do if they developed chest pain (OR 1.21; 95% CI, 0.66 to 2.23), or, if they smoked cigarettes, given advice about how to stop smoking (OR 0.64; 95% CI, 0.26 to 1.58). However, 3 months after discharge, women reported worse physical health (P <.05) and mental health (P <.05), were more likely to report spending time in bed because of ill health (OR 1. 80; 95% CI, 1.06, 3.05), and were more likely to report working less than before their myocardial infarction (OR 4.02; 95% CI, 1.58 to 10. 20). CONCLUSIONS: In terms of processes of care measured with patient reports, women with myocardial infarction reported their quality of care to be similar to that of men. However, 3 months following myocardial infarction, women reported worse health status and were less likely to return to work than men.

Variations in risk-adjusted cesarean delivery rates according to race and health insurance.

OBJECTIVE: To assess the association between race and insurance and Cesarean delivery rates after adjusting for clinical risk factors that increase the likelihood of cesarean delivery. DESIGN: Retrospective cohort study in 21 hospitals in northeast Ohio. SUBJECTS: 25,697 women without prior cesarean deliveries admitted for labor and delivery January 1993 through June 1995. METHODS: Demographic and clinical data were abstracted from patients' medical records. The risk of cesarean delivery was adjusted for 39 maternal and neonatal risk factors that were included in a previously developed risk-adjustment model using nested logistic regression analysis. MAIN OUTCOME MEASURES: Odds ratios for cesarean delivery in nonwhite patients relative to whites and for patients with government insurance or who were uninsured relative to patients with commercial insurance. RESULTS: The overall rate of cesarean delivery was similar in white and nonwhite patients (15.8% and 16.1%, respectively), but rates varied (P < 0.001) according to insurance (17.0%, 14.2%, 10.7% in patients with commercial insurance, government insurance, and without insurance, respectively). However, after adjusting for clinical factors, the adjusted odds ratio (OR) of cesarean delivery was higher in nonwhite patients (OR = 1.34; 95% CI: 1.14-1.57; P < 0.001), but similar for patients with government insurance (OR = 1.01; 95% CI: 0.90-1.14; P = 0.84) and lower for uninsured patients (OR = 0.65; 95% CI, 0.41, 1.03; P = 0.067), albeit not statistically significant. In analyses stratified according to quintiles of predicted risk of cesarean delivery, racial differences were largely limited to patients in the lower risk quintiles. However, differences in odds ratios for uninsured patients were seen across the risk quintiles, although odds ratios were not statistically significant. CONCLUSION: After adjusting for clinical factors, race and insurance status may independently influence the use of cesarean delivery. The higher rates in nonwhites and lower rates in the uninsured may reflect differences in patient preferences or expectations, differences in physician practice, or unmeasured risk factors. The lower odds of cesarean delivery in uninsured women, particularly women at high risk, may raise the issue of underutilization of services and warrants further study.

Increased risk of death in patients with do-not-resuscitate orders.

BACKGROUND: Whereas studies have shown higher mortality rates in patients with do-not-resuscitate (DNR) orders, most have not accounted for confounding factors related to the use of DNR orders and/or factors related to the risk of death. OBJECTIVE: To determine the relationship between the use of DNR orders and in-hospital mortality, adjusting for severity of illness and other covariates. DESIGN: Retrospective cohort study. PATIENTS: There were 13,337 consecutive stroke admissions to 30 hospitals in 1991 to 1994. MEASURES: To decrease selection bias, propensity scores reflecting the likelihood of a DNR order were developed. Scores were based on nine demographic and clinical variables independently related to use of DNR orders. The odds of death in patients with DNR orders were then determined using logistic regression, adjustment for propensity scores, severity of illness, and other factors. RESULTS: DNR orders were used in 22% (n = 2,898) of patients. In analyses examining DNR orders written at any time during hospitalization, unadjusted in-hospital mortality rates were higher in patients with DNR orders than in patients without orders (40% vs. 2%, P<0.001); the adjusted odds of death was 33.9 (95% CI, 27.4-42.0). The adjusted odds of death remained higher in analyses that only considered orders written during the first 2 days (OR 3.7; 95% CI, 3.2-4.4) or the first day (OR 2.4; 95% CI, 2.0-2.9). In stratified analyses, adjusted odds of death tended to be higher in patients with lower propensity scores. CONCLUSION: The risk of death was substantially higher in patients with DNR orders after adjusting for propensity scores and other covariates. Whereas the increased risk may reflect patient preferences for less intensive care or unmeasured prognostic factors, the current findings highlight the need for more direct evaluations of the quality and appropriateness of care of patients with DNR orders.

Patient assessments of hospital maternity care: a useful tool for consumers?

OBJECTIVE: To examine three issues related to using patient assessments of care as a means to select hospitals and foster consumer choice-specifically, whether patient assessments (1) vary across hospitals, (2) are reproducible over time, and (3) are biased by case-mix differences. DATA SOURCES/STUDY SETTING: Surveys that were mailed to 27,674 randomly selected patients admitted to 18 hospitals in a large metropolitan region (Northeast Ohio) for labor and delivery in 1992-1994. We received completed surveys from 16,051 patients (58 percent response rate). STUDY DESIGN: Design was a repeated cross-sectional study. DATA COLLECTION: Surveys were mailed approximately 8 to 12 weeks after discharge. We used three previously validated scales evaluating patients' global assessments of care (three items)as well as assessments of physician (six items) and nursing (five items) care. Each scale had a possible range of 0 (poor care) to 100 (excellent care). PRINCIPAL FINDINGS: Patient assessments varied (p<.001) across hospitals for each scale. Mean hospital scores were higher or lower (p<.01) than the sample mean for seven or more hospitals during each year of data collection. However, within individual hospitals, mean scores were reproducible over the three years. In addition, relative hospital rankings were stable; Spearman correlation coefficients ranged from 0.85 to 0.96 when rankings during individual years were compared. Patient characteristics (age, race, education, insurance status, health status, type of delivery) explained only 2-3 percent of the variance in patient assessments, and adjusting scores for these factors had little effect on hospitals' scores. CONCLUSIONS: The findings indicate that patient assessments of care may be a sensitive measure for discriminating among hospitals. In addition, hospital scores are reproducible and not substantially affected by case-mix differences. If our findings regarding patient assessments are generalizable to other patient populations and delivery settings, these measures may be a useful tool for consumers in selecting hospitals or other healthcare providers.

Are readmissions to the intensive care unit a useful measure of hospital performance?

BACKGROUND: Although patients readmitted to intensive care units (ICUs) typically have poor outcomes, ICU readmission rates have not been studied as a measure of hospital performance. OBJECTIVES: To determine variation in ICU readmission rates across hospitals and associations of readmission rates with other ICU-based measures of hospital performance. RESEARCH DESIGN: Observational cohort study. SUBJECTS: One hundred three thousand nine hundred eighty four consecutive ICU patients who were admitted to twenty eight hospitals who were then transferred to a hospital ward in those 28 hospitals. MEASURES: Predicted risk of in-hospital death and ICU length of stay (LOS) were determined by a validated method based on age, ICU admission source, diagnosis, comorbidity, and physiologic abnormalities. Severity-adjusted mortality rates, LOS, and readmission rates were determined for each hospital. RESULTS: One or more ICU readmissions occurred in 5.8% patients who were initially classified as postoperative and in 6.4% patients who were initially classified as nonoperative. In-hospital mortality rate was 24.7% in patients who were readmitted as compared with 4.0% in other patients (P < 0.001). After adjusting for predicted risk of death, the odds of death remained 7.5 times higher (OR 7.5, 95% CI, 6.8-8.3). Readmitted patients also had longer (P < 0.001) ICU LOS (5.2 vs. 3.7 days) and hospital LOS (29.3 vs. 11.7 days). Severity-adjusted readmission rates varied across hospitals from 4.2% to 7.6%. Readmission rates were not correlated with severity-adjusted hospital mortality, ICU LOS, or hospital LOS. CONCLUSIONS: ICU patients who were subsequently readmitted have a higher risk of death and longer LOS after adjusting for severity of illness. However, readmission rates were not associated with severity-adjusted mortality or LOS. Those data indicate that ICU readmission may capture other aspects of hospital performance and may be complementary to these measures.

Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure: implications for critical care delivery from Cleveland Health Quality Choice.

STUDY OBJECTIVES: To examine the applicability of a previously developed intensive care prognostic measure to a community-based sample of hospitals, and assess variations in severity-adjusted mortality across a major metropolitan region. DESIGN: Retrospective cohort study. SETTING: Twenty-eight hospitals with 38 ICUs participating in a community-wide initiative to measure performance supported by the business community, hospitals, and physicians. PATIENTS: Included in the study were 116,340 consecutive eligible patients admitted to medical, surgical, neurologic, and mixed medical/surgical ICUs between March 1, 1991, and March 31, 1995. MAIN OUTCOME MEASURES: The risk of hospital mortality was assessed using a previous risk prediction equation that was developed in a national sample, and a reestimated logistic regression model fit to the current sample. The standardized mortality ratio (SMR) (actual/predicted mortality) was used to describe hospital performance. RESULTS: Although discrimination of the previous national risk equation in the current sample was high (receiver operating characteristic [ROC] curve area = 0.90), the equation systematically overestimated the risk of death and was not as well calibrated (Hosmer-Lemeshow statistic, 2407.6, 8 df, p < 0.001). The locally derived equation had similar discrimination (ROC curve area = 0.91), but had improved calibration across all ranges of severity (Hosmer-Lemeshow statistic = 13.5, 8 df, p = 0.10). Hospital SMRs ranged from 0.85 to 1.21, and four hospitals had SMRs that were higher or lower (p < 0.01) than 1.0. Variation in SMRs tended to be greatest during the first year of data collection. SMRs also tended to decline over the 4 years (1.06, 1.02, 0.98, and 0.94 in years 1 to 4, respectively), as did mean hospital length of stay (13.0, 12.4, 11.6, and 11.1 days in years 1 to 4; p < 0.001). However, excluding the increasing (p < 0.001) number of patients discharged to skilled nursing facilities attenuated much of the decline in standardized mortality over time. CONCLUSIONS: A previously validated physiologically based prognostic measure successfully stratified patients in a large community-based sample by their risk of death. However, such methods may require recalibration when applied to new samples and to reflect changes in practice over time. Moreover, although significant variations in hospital standardized mortality were observed, changing hospital discharge practices suggest that in-hospital mortality may no longer be an adequate measure of ICU performance. Community-wide efforts with broad-based support from business, hospitals, and physicians can be sustained over time to assess outcomes associated with ICU care. Such efforts may provide important information about variations in patient outcomes and changes in practice patterns over time. Future efforts should assess the impact of such community-wide initiatives on health-care purchasing and institutional quality improvement programs.

The relationship of gender and in-hospital death: increased risk of death in men.

OBJECTIVES: The prognostic importance of gender in hospitalized patients has been poorly studied. The current study compared in-hospital death rates between men and women after adjusting for severity of illness. DESIGN: Retrospective cohort study. PATIENTS: 89,793 eligible patients with 6 common nonsurgical diagnoses who were discharged from 30 hospitals in Northeast Ohio in 1991 to 1993. METHODS: Admission severity of illness (ie, predicted risk of death) was calculated using multivariable models that were based on data abstracted from patients' clinical records (ROC curve areas, 0.83-0.90). In hospital death rates were then adjusted for predicted risks of death and other covariates using logistic regression analysis. RESULTS: Adjusted odds of death were higher (P < 0.05) in men, compared with women, for 4 diagnoses (stroke [OR, 1.60]; obstructive airway disease [OR, 1.38]; gastrointestinal hemorrhage [OR 1.32]; pneumonia [OR, 1.18]) and similar for two diagnoses (congestive heart failure [OR, 1.12]; and acute myocardial infarction [OR, 0.97]). These differences were somewhat attenuated by excluding patients discharged to skilled nursing facilities or other hospitals from analysis; nonetheless, the odds of death in men remained higher for 3 diagnoses. CONCLUSIONS: The findings indicate that inhospital death rates are generally higher in men than in women, after adjusting for severity of illness. In addition, the risk of in-hospital death in men and women was influenced by diagnosis. These differences may reflect gender-related variation in the utilization of hospital services, the effectiveness of care, over- or underestimation of severity of illness, or biological differences in men and women.