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Table 1: 2361 AMI patients by hospital. Hospital Patients Hospital Patients

in Conditional Categorical Response Models with Application to Treatment of Acute Myocardial Infarction
by Alan E. Gelfand , Mark D. Ecker, Cindy Christiansen, Thomas J. McLaughlin, Stephen B. Soumerai 2000
"... In PAGE 6: ... 2 A Preliminary Look at the Data As noted above, the data set consists of 2361 suspected AMI patients at 37 community hospitals during a pre-intervention period October 1992 to July 1993 of a randomized controlled experiment to improve quality of AMI care. Table1 presents the patient count at each hospital arranged in descending order. The range is large, from 5 to 249.... ..."
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Table 1: 2361 AMI patients by hospital. Hospital Patients Hospital Patients

in unknown title
by unknown authors 2000
"... In PAGE 6: ... 2 A Preliminary Look at the Data As noted above, the data set consists of 2361 suspected AMI patients at 37 community hospitals during a pre-intervention period October 1992 to July 1993 of a randomized controlled experiment to improve quality of AMI care. Table1 presents the patient count at each hospital arranged in descending order. The range is large, from 5 to 249.... ..."
Cited by 1

Table 2 Hospital Frequency, Patients Treated, and Mortality By Hospital Classification

in Inferring Hospital Quality from Patient Discharge Records Using a Bayesian Selection Model
by John Geweke Departments, John Geweke, Gautam Gowrisankaran, Robert J. Town 1999
"... In PAGE 20: ... This, too, is not surprising in view of the summary statistics in Table 1. In the case of the hospital quality probits, there are greater and more interesting differences between the selection model, the probit model, and Table2 . In all three approaches the smallest hospitals have lower mortality rates than larger hospitals.... ..."
Cited by 2

Table 2 Hospital Frequency, Patients Treated, and Mortality By Hospital Classification

in Inferring Hospital Quality from Patient Discharge Records Using a Bayesian Selection Model
by John Geweke, Gautam Gowrisankaran, Robert J. Town 1999
"... In PAGE 20: ... This, too, is not surprising in view of the summary statistics in Table 1. In the case of the hospital quality probits, there are greater and more interesting differences between the selection model, the probit model, and Table2 . In all three approaches the smallest hospitals have lower mortality rates than larger hospitals.... ..."
Cited by 2

Table 2 Hospital Frequency, Patients Treated, and Mortality By Hospital Classification

in Inferring hospital quality from patient discharge data using a Bayesian selection model,” mimeo
by John Geweke, Gautam Gowrisankaran, Robert J. Town 1999
"... In PAGE 20: ... This, too, is not surprising in view of the summary statistics in Table 1. In the case of the hospital quality probits, there are greater and more interesting differences between the selection model, the probit model, and Table2 . In all three approaches the smallest hospitals have lower mortality rates than larger hospitals.... ..."
Cited by 2

Table 2. Proportions of patients in each cluster by hospital

in The Application of Text Mining Software to Examine Coded Information
by unknown authors
"... In PAGE 4: ...Different hospitals have different proportions of patients in the above clusters ( Table2 ). Although in the same geographic region with the same population pool, the reduced proportion of patients in the more severe clusters is sufficient to lower the overall predicted risk and lower the rankings determined by agencies such as healthgrades.... ..."

Table 1 Hospital and patient factors related to rate of normal appendix removal

in To subscribe to Journal of Epidemiology and Community Health go to:
by Email Alerting, S W Wen, K Demissie, D August, G G Rhoads, Reporductive, K Demissie, G G Rhoads, K Demissie, G G Rhoads

Table 2: Percentage of Patients Admitted to Hospital across each ESI Level

in Pairing Emergency Severity Index-5-Level . . .
by S. Chick, P. J. Sánchez, D. Ferrin, D. J. Morrice, S. Mahapatra, C. P. Koelling, L. Patvivatsiri, B. Fraticelli
"... In PAGE 6: ... Available data were analyzed to obtain the admission/discharge incidences for each of the ESI levels. Table2 shows the admission per-... ..."

Table 2 Stakeholders in relation to the proposed Electronic Patient File Immediate stakeholders inside the hospital Hospital management

in Managing Stakeholders in Inter Organisational Information Systems. Lessons from an attempt to implement an electronic patient file
by Albert Boonstra
"... In PAGE 8: ... This data is presented in the following section. Identifying stakeholders Our early discussions on the first set of questions showed that the groups shown in bold in Table2 were the most significant at that stage of the project. They were aware of the proposed system, and could see that it would affect their interests.... ..."

Table 14: Frequency and duration of aggressive events by hospital (n=176)

in
by unknown authors 2005
"... In PAGE 41: ...Hospitals B, C and D) indicated a significant difference between duration of response and hospital (n=176, f=7.5; p=0.001), however, this result must be interpreted with caution due to the relatively wide confidence intervals produced for code duration in participating hospitals. Table14 sets out a description of the frequency and the duration of aggressive events in each of the participating hospitals. Of the 264 violent episodes included in this part of the study, the majority (180; 68.... ..."
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