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Research into adverse events (AEs) has highlighted the need to improve patient safety. AEs are unintended injuries or complications resulting in death, disability or prolonged hospital stay that arise from health care management. We estimated the incidence of AEs among patients in Canadian acute care hospitals. We randomly selected 1 teaching, 1 large community and 2 small community hospitals in each of 5 provinces (British Columbia, Alberta, Ontario, Quebec and Nova Scotia) and reviewed a random sample of charts for nonpsychiatric, nonobstetric adult patients in each hospital for the fiscal year 2000. Trained reviewers screened all eligible charts, and physicians reviewed the positively screened charts to identify AEs and determine their preventability. At least 1 screening criterion was identified in 1527 (40.8%) of 3745 charts. The physician reviewers identified AEs in 255 of the charts. After adjustment for the sampling strategy, the AE rate was 7.5 per 100 hospital admissions (95% confidence interval [CI] 5.7- 9.3). Among the patients with AEs, events judged to be preventable occurred in 36.9% (95% CI 32.0%-41.8%) and death in 20.8% (95% CI 7.8%-33.8%). Physician reviewers estimated that 1521 additional hospital days were associated with AEs. Although men and women experienced equal rates of AEs, patients who had AEs were significantly older than those who did not (mean age [and standard deviation] 64.9 [16.7] v. 62.0 [18.4] years; p = 0.016). The overall incidence rate of AEs of 7.5% in our study suggests that, of the almost 2.5 million annual hospital admissions in Canada similar to the type studied, about 185 000 are associated with an AE and close to 70 000 of these are potentially preventable.

Context: Hospitals are under pressure to increase revenue and lower costs, and at the same time, they face dramatic variation in clinical demand. Objective: We sought to determine the relationship between peak hospital workload and rates of adverse events (AEs). Methods: A random sample of 24,676 adult patients discharged from the medical/surgical services at 4 US hospitals (2 urban and 2 suburban teaching hospitals) from October 2000 to September 2001 were screened using administrative data, leaving 6841 cases to be reviewed for the presence of AEs. Daily workload for each hospital was characterized by volume, throughput (admissions and discharges), intensity (aggregate DRG weight), and staffing (patient-to-nurse ratios). For volume, we calculated an \"enhanced\" occupancy rate that accounted for same-day bed occupancy by more than 1 patient. We used Poisson regressions to predict the likelihood of an AE, with control for workload and individual patient complexity, and the effects of clustering. Results: One urban teaching hospital had enhanced occupancy rates more than 100% for much of the year. At that hospital, admissions and patients per nurse were significantly related to the likelihood of an AE (P < 0.05); occupancy rate, discharges, and DRG-weighted census were significant at P < 0.10. For example, a 0.1% increase in the patient-to-nurse ratio led to a 28% increase in the AE rate. Results at the other 3 hospitals varied and were mainly non significant. Conclusions: Hospitals that operate at or over capacity may experience heightened rates of patierlt safety events and might consider re-engineering the structures of care to respond better during periods of high stress.

Background: Certain hospitals play a central role in ensuring Medicaid-insured patients' access to care. Their quality of care is critical to evaluate. Objective: To determine whether hospitals for which Medicaid patients represent a high percentage of total discharges provide a different quality of care than other hospitals. Research Design: Cross-sectional analysis. Subjects: Acute care hospitals participating in the first Hospital Compare public report (released November 2004) and the 2004 American Hospital Association hospital survey. Measures: Hospitals serving 1 standard deviation above the national mean percentage of Medicaid patients were designated high Medicaid hospitals. Performance was assessed using percent compliance with 10 processes of care for 3 conditions: myocardial infarction, congestive heart failure, and community-acquired pneumonia. Results: Among the 2874 nonteaching hospitals, high Medicaid hospitals had lower adherence (P < 0.01) than other nonteaching hospitals on all 10 indicators. Of particular clinical importance, high Medicaid nonteaching hospitals less frequently prescribed ß-blockers (83% vs. 90%%, P < 0.0001) and aspirin at discharge in myocardial infarction (85% vs. 91%%, P < 0.0001), and administered antibiotics on time in CAP (68% vs. 75%, P < 0.0001). Among teaching institutions, there were few differences between high Medicaid and other hospitals. Conclusions: Among hospitals publicly reporting on the Hospital Compare Web site, nonteaching hospitals treating a high percentage of Medicaid patients had lower adherence to quality indicators than other nonteaching hospitals on 10 indicators. Further research is needed to determine what factors contribute to differences in reported quality.

Background The city of Shenzhen, China, is planning to establish a trauma system. At present, there are few data on the geographical distribution of incidents, which is key to deciding on the location of trauma centres. The aim of this study was to perform a geographical analysis in order to inform the development of a trauma system in Shenzhen. Methods Retrospective analysis of trauma incidents attended by Shenzhen Emergency Medical Services (EMS) in 2014. Data were obtained from Shenzhen EMS. Incident distribution was explored using dot and kernel density estimate maps. Clustering was determined using the nearest neighbour index. The type of healthcare facilities which patients were taken to was compared against patients’ needs, as assessed using the Field Triage Decision Scheme. Results There were 49,082 recorded incidents. A total of 3513 were classed as major trauma. Mapping demonstrates that incidents predominantly occurred in the western part of Shenzhen, with identifiable clusters. Nearest neighbour index was 0.048. Of patients deemed to have suffered major trauma, 8.5% were taken to a teaching hospital, 13.6% to a regional hospital, 42.6% to a community hospital, and 35.3% to a private hospital. The proportions of Step 1 or 2 negative patients were almost identical. Conclusion The majority of trauma patients, including trauma patients who are at greater likelihood of severe injury, are taken to regional and community hospitals. There are areas with identifiable concentrations of volume, which should be considered for the siting of high-level trauma centres, although further modelling is required to make firm recommendations.

Adverse events are poor patient outcomes that are due to medical care. Studies of hospital patients have demonstrated that adverse events are common, but few data describe the timing of them in relation to hospital admission. We evaluated characteristics of adverse events affecting patients admitted to a Canadian teaching hospital, paying particular attention to timing. We randomly selected 502 adults admitted to the Ottawa Hospital for acute care of nonpsychiatric illnesses over a 1-year period. Charts were reviewed in 2 stages. If an adverse event was judged to have occurred, a physician determined whether it occurred before or during the index hospitalization. The reviewer also rated the preventability, severity and type of each adverse event. Of the 64 patients with an adverse event (incidence 12.7%, 95% confidence interval [CI] 10.1%-16.0%), 24 had a preventable event (4.8%, 95% CI 3.2%-7.0%), and 3 (0.6%, 95% CI 0.2%-1.7%) died because of an adverse event. Most adverse events were due to drug treatment, operative complications or nosocomial infections. Of the 64 patients, 39 (61%, 95% CI 49%-72%) experienced the adverse event before the index hospitalization. Adverse events were common in this study. However, only one-third were deemed avoidable, and most occurred before the hospitalization. Interventions to improve safety must address ambulatory care as well as hospital-based care.

Inpatient hospital readmissions have become a focus for healthcare reform and cost-containment efforts. Initiatives targeting unanticipated readmissions have included care coordination for specific high readmission diseases and patients and health coaching during the post-discharge transition period. However, little research has focused on emergency department (ED) visits following an inpatient admission. The objective of this study was to assess 30-day ED utilization and all-cause readmissions following a hospital admission. This was a retrospective study using inpatient and ED utilization data from two hospitals with a shared patient population in 2011. We assessed the 30-day ED visit rate and 30-day readmission rate and compared patient characteristics among individuals with 30-day inpatient readmissions, 30-day ED discharges, and no 30-day visits. There were 13,449 patients who met the criteria of an index visit. Overall, 2,453 (18.2%) patients had an ED visit within 30 days of an inpatient stay. However, only 55.6% (n=1,363) of these patients were admitted at one of these 30-day visits, resulting in a 30-day all-cause readmission rate of 10.1%. Approximately one in five patients presented to the ED within 30 days of an inpatient hospitalization and over half of these patients were readmitted. Readmission measures that incorporate ED visits following an inpatient stay might better inform interventions to reduce avoidable readmissions.

Background Public information on average has limited impact on patients' hospital choice. However, the impact may be greater in consumers who have compared hospitals prior to their hospital choice. We therefore assessed whether patients who have compared hospitals based their hospital choice mainly on public information, rather than e.g. advice of their general practitioner and consider other information important than patients who have not compared hospitals. Methods 337 new surgical patients completed an internet-based questionnaire. They were asked whether they had compared hospitals prior to their hospital choice and which factors influenced their choice. They were also asked to select between four and ten items of hospital information (total: 41 items) relevant for their future hospital choice. These were subsequently used in a hospital choice experiment in which participants were asked to compare hospitals in an Adaptive Choice-Based Conjoint analysis to estimate which of the hospital characteristics had the highest Relative Importance (RI). Results Patients who have compared hospitals more often used public information for their hospital choice than patients who have not compared hospitals (12.7% vs. 1.5%, p < 0.001). However, they still mostly relied on their own (47.9%) and other people's experiences (31%) rather than to base their decision on public information. Both groups valued physician's expertise (RI 20.2 [16.6-24.8] in patients comparing hospitals vs. 16.5 [14.2-18.8] in patients not comparing hospitals) and waiting time (RI 15.1 [10.7-19.6] vs. 15.6 [13.2-17.9] respectively) as most important public information. Patients who have compared hospitals assigned greater importance to information on wound infections (p = 0.010) and respect for patients (p = 0.022), but lower importance to hospital distance (p = 0.041). Conclusion Public information has limited impact on patient's hospital choice, even in patients who have actually compared hospitals prior to hospital choice.

Lean thinking is a method for organising complex production processes so as to encourage flow and reduce waste. While the principles of lean thinking were developed in the manufacturing sector, there is increasing interest in its application in health care. This case history documents the introduction and development of Redesigning Care, a lean thinking-based program to redesign care processes across a teaching general hospital. Redesigning Care has produced substantial benefits over the first two-and-a-half years of its implementation, making care both safer and more accessible. Redesigning Care has not been aimed at changing the specifics of clinical practice. Rather, it has been concerned with improving the flow of patients through clinical and other systems. Concepts that emerged in the manufacturing sector have been readily translatable into health care. Lean thinking may play an important role in the reform of health care in Australia and elsewhere. (author abstract)

We aim to describe the number of health care visits before and after pediatric emergency department (PED) visits for common illnesses in a French tertiary pediatric hospital. This was a prospective cohort study with 501 children under 6 years of age who were evaluated and discharged from a tertiary care PED. Enrollment occurred on eight randomly selected study days between November 2010 and June 2011. The caregivers were then contacted via telephone 8 days later to obtain follow-up data, including information about return visits to health care facilities. Multiple visits were made by 206 (41 %) children, previous visits had occurred for 139 (28 %) children, and return visits had occurred for 94 (19 %) children. Previous and return visits were made at the PED as well as in general practitioners’ offices and private pediatric offices. The median age of the subjects was 18 months. Fever was the most common complaint and was associated with more frequent multiple heath care visits. Conclusion : Multiple heath care visits for the same illness are frequent, especially for febrile children. Interestingly, this phenomenon concerns every type of health care facility, including the PED, general practitioners’ offices, and private pediatric offices. Further studies should be performed to achieve a better understanding of this phenomenon and to test specific interventions, such as parental education and improvement of the information system.

Background Radiation exposure from medical sources now equals or exceeds that from natural background sources, largely attributable to a 20-fold increase in CT use since 1980. Increasing exposure to children and fetuses is of most concern due to their heightened susceptibility. More recently, CT use may be leveling or decreasing, but it is unclear whether this change is widespread or varies by type of institution. Objective We sought to characterize trends in CT utilization in California hospitals and emergency departments among children and pregnant women, looking at different types of facilities, such as teaching, private, public and nonprofit institutions. Materials and methods We examined frequency of CT examinations by year from 229 facilities reporting CT usage in routinely collected California statewide data for 2005–2012. We modeled trends overall and by facility type. Results CT scans for pediatric and pregnant patient visits in the emergency department increased initially, then started to decline after 2008. Among hospital admissions, rates declined or leveled after 2005. In the emergency department, CT rates varied between types of facilities, with teaching hospitals reducing use sooner and more sharply than other types of facilities. Conclusion CT utilization in California among children and pregnant women has begun to level or decline. Still, population exposure remains at historically high levels, warranting consideration of potential public health implications. Further examination of reasons for trends among hospital types, particularly how teaching hospitals have reduced rates of CT utilization, may help identify strategies for CT reduction without compromising patient care.