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      The effect of hospital occupancy on emergency department length of stay and patient disposition.

      Academic Emergency Medicine
      Bed Occupancy, statistics & numerical data, Databases as Topic, Emergency Service, Hospital, Humans, Length of Stay, Middle Aged, Outcome Assessment (Health Care), Patient Admission, Retrospective Studies, Time Factors

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          Abstract

          Emergency department (ED) overcrowding is a common problem. Despite a widespread belief that low hospital bed availability contributes to ED overcrowding, there are few data demonstrating this effect. To identify the effect of hospital occupancy on ED length of stay for admitted patients and patient disposition. This was an observational study design using administrative data at a 500-bed acute care teaching hospital. All patients presenting to the ED between April 1993 and June 1999 were included in the study. The predictor variable was daily hospital occupancy. Outcome measures included daily ED length of stay for admitted patients, daily consultation rate, and daily admission rate. The models controlled for the average daily age of ED patients and the average daily "arrival density" index, which adjusts for patient volume and clustering of patient arrivals. The average hospital occupancy was 89.7%. On average 155 patients visited the ED daily; 21% were referred to hospital physicians and 19% were admitted. The median ED length of stay for admitted patients was 5 hours 54 minutes (interquartile range 5 hr 12 min to 6 hr 42 min). Daily ED length of stay for admitted patients increased 18 minutes (95% CI = 12 to 24) when there was an absolute increase in occupancy of 10%. The ED length of stay appeared to increase extensively when hospital occupancy exceeded a threshold of 90%. Consultation and admission rates were not influenced by hospital occupancy. Increased hospital occupancy is strongly associated with ED length of stay for admitted patients. Increasing hospital bed availability might reduce ED overcrowding.

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          On a Measure of Lack of Fit in Time Series Models

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            Determinants of patient satisfaction and willingness to return with emergency care.

            To identify emergency department process of care measures that are significantly associated with satisfaction and willingness to return. Patient satisfaction and willingness to return at 5 urban, teaching hospital EDs were assessed. Baseline questionnaire, chart review, and 10-day follow-up telephone interviews were performed, and 38 process of care measures and 30 patient characteristic were collected for each respondent. Overall satisfaction was modeled with ordinal logistic regression. Willingness to return was modeled with logistic regression. During a 1-month study period, 2,899 (84% of eligible) on-site questionnaires were completed. Telephone interviews were completed by 2,333 patients (80% of patients who completed a questionnaire). Patient-reported problems that were highly correlated with satisfaction included help not received when needed (odds ratio [OR] 0.345; 95% confidence interval [CI] 0.261 to 0.456), poor explanation of causes of problem (OR 0.434; 95% CI 0.345 to 0.546), not told about potential wait time (OR 0.479; 95% CI 0.399 to 0.577), not told when to resume normal activities (OR 0.691; 95% CI 0.531 to 0.901), poor explanation of test results (OR 0.647; 95% CI 0.495 to 0.845), and not told when to return to the ED (OR 0.656; 95% CI 0. 494 to 0.871). Other process of care measures correlated with satisfaction include nonacute triage status (OR 0.701, 95% CI 0.578 to 0.851) and number of treatments in the ED (OR 1.164 per treatment; 95% CI 1.073 to 1.263). Patient characteristics that significantly predicted less satisfaction included younger age and black race. Determinants of willingness to return include poor explanation of causes of problem (OR 0.328; 95% CI 0.217 to 0.495), unable to leave a message for family (OR 0.391; 95% CI 0.226 to 0. 677), not told about potential wait time (OR 0.561; 95% CI 0.381 to 0.825), poor explanation of test results (OR 0.541; 95% CI 0.347 to 0.846), and help not received when needed (OR 0.537; 95% CI 0.340 to 0.846). Patients with a chief complaint of hand laceration were less willing to return compared with a reference population of patients with abdominal pain. Willingness to return is strongly predicted by overall satisfaction (OR 2.601; 95% CI 2.292 to 2.951). These data identify specific process of care measures that are determinants of patient satisfaction and willingness to return. Efforts to increase patient satisfaction and willingness to return should focus on improving ED performance on these identified process measures.
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              Decreased health care quality associated with emergency department overcrowding.

              The objective of this study was to assess the influence of overcrowding on health care quality provided by emergency departments (ED). The study was carried out in an urban, university tertiary care hospital. All patients seen at the internal medicine unit (IMU) of the ED who returned during the following 72 hours, and those who died in the ED rooms were included in the study. During a consecutive period of 2 years (104 weeks), we prospectively quantified the number of weekly visits, revisits and deaths. We calculated revisit and mortality rates (in respect of percentage of all visited patients) for each week. Correlation between the number of weekly visits, and revisit and mortality rates was assessed using a simple linear regression model. We consigned 81,301 visits, 1137 revisits and 648 deaths; mean (+/- SD) number of weekly visits, revisits and deaths were 782 (68), 10.93 (3.97) and 6.23 (3.04) respectively; weekly revisit rate was 1.40% (0.48%) and weekly mortality rate was 0.79% (0.36%). We observed a significant, positive correlation between mortality rates and weekly number of visits (p = 0.01). Although a similar trend was also found for revisit rates, such an increase did not reach statistical significance (p = 0.06). It is concluded that since revisit and mortality rates constitute good health care quality markers, present data demonstrate that ED overcrowding implies a decrease in the health care quality provided by it.
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