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Showing results for "large".

141. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2007 (Version 1)
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2007.jsp
     January 01, 2007 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … OH: The HCUP Partner provided a large outpatient database that combined records for ED services with … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics … If the analytic file is too small to set aside a large validation sample, cross-validation techniques

142. Microsoft Word - NEDS_2006_Introduction v4.doc (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDS_2006_Introductionv4.pdf
     January 01, 2006 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … • OH: The HCUP Partner provided a large outpatient database that combined records for ED services … • The NEDS is an extremely large database that requires sophisticated, statistical software for … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics

143. MAINTAIN AND EXPAND (pdf file)
     hcup-us.ahrq.gov/db/nation/kid/reports/KID_2000_Design_Report.pdf
     January 01, 2000 - Bed Size – small, medium, and large 6. Hospital Type – children’s or other hospital. … Bed Size – small, medium, and large. … For example, a medium- sized teaching hospital would be considered a rather large rural hospital. … Bed Size Categories, by Region Hospital Bed size Location and Teaching Status Small Medium Large … Given that a very large number of observations will be available for most analyses, it may be feasible

144. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2008
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2008.jsp
     January 01, 2008 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … OH: The HCUP Partner provided a large outpatient database that combined records for ED services with … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics … If the analytic file is too small to set aside a large validation sample, cross-validation techniques

145. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2007
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2007v2.jsp
     November 01, 2015 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … OH: The HCUP Partner provided a large outpatient database that combined records for ED services with … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics … If the analytic file is too small to set aside a large validation sample, cross-validation techniques

146. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2006
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2006v2.jsp
     November 01, 2015 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … OH: The HCUP Partner provided a large outpatient database that combined records for ED services with … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics … If the analytic file is too small to set aside a large validation sample, cross-validation techniques

147. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDS_2006v2_IntroductionRevised.pdf
     November 01, 2015 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis …  OH: The HCUP Partner provided a large outpatient database that combined records for ED services … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics … If the analytic file is too small to set aside a large validation sample, cross-validation techniques

148. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDS2007v2IntroductionRevised.pdf
     November 01, 2015 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis …  OH: The HCUP Partner provided a large outpatient database that combined records for ED services … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics … central metropolitan, (2) large fringe metropolitan, (3) medium metropolitan, (4) small metropolitan

149. Microsoft Word - NEDS_2007_Introduction v5.doc (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDS_2007_Introduction_v5.pdf
     January 01, 2007 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … • OH: The HCUP Partner provided a large outpatient database that combined records for ED services … • The NEDS is an extremely large database that requires sophisticated, statistical software for … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics

150. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDS2008Introductionv3.pdf
     November 01, 2015 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis …  OH: The HCUP Partner provided a large outpatient database that combined records for ED services …  The NEDS is an extremely large database that requires sophisticated, statistical software for … Some States have a large percent of missing information. … When anomalies (such as large numbers of missing cases) are detected, perform descriptive statistics

151. sb291-COVID-19-PediatricHosptl (pdf file)
     hcup-us.ahrq.gov/reports/statbriefs/sb291-COVID-19-PediatricHosptl.pdf
     August 23, 2021 - Because of the large sample size of the HCUP data, small differences can be statistically significant … deaths for patients aged less than 18 years in 29 States combined by location of patient residence (large … ■ The number of pediatric all-cause in-hospital deaths decreased by twice as much for patients from large … For this Statistical Brief, we collapsed the NCHS codes into the following three categories: Large … metropolitan (metro) area: • Large Central Metropolitan: Counties in a metropolitan area with 1 million

152. Changes in Hospitalizations and In-Hospital Deaths for Adults Aged 65 Years and Older in the Initial Period of the COVID-19 Pandemic (April–December 2020), 29 States (pdf file)
     hcup-us.ahrq.gov/reports/statbriefs/sb293-COVID-19-OverAge65Hosptl.pdf
     July 19, 2021 - Because of the large sample size of the HCUP data, small differences can be statistically significant … in April–December 2020 compared with the average in April–December 2016–2019 for patients living in large … one-third (35.7 percent) of in-hospital deaths among patients aged 65 years and older residing in large … For this Statistical Brief, we collapsed the NCHS codes into the following three categories: Large … metropolitan (metro) area: • Large Central Metropolitan: Counties in a metropolitan area with 1 million

153. Statistical Brief #75: Sports Injuries in Children Requiring Hospital Emergency Care, 2006 (pdf file)
     hcup-us.ahrq.gov/reports/statbriefs/sb75.pdf
     June 01, 2009 - children) and lowest in metropolitan areas (105.0 and 87.7 visits per 10,000 children in small and large … children) and lowest in metropolitan areas (105.0 and 87.7 visits per 10,000 children in small and large … However, these large differences in ED visit rates in children by patient residence were not seen among … The 12 categories of the UIC are combined into four broader categories that differentiate between large … metropolitan 408.0 87.7 86.3 1.4 Small metropolitan 464.5 105.0 103.8 1.2 Micropolitan (large town

154. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2009
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2009.jsp
     January 01, 2009 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … OH: The HCUP Partner provided a large outpatient database that combined records for ED services with … Some States have a large percentage of missing information. … If the analytic file is too small to set aside a large validation sample, cross-validation techniques … Collapsed categories used for strata with small sample sizes: (8) Metropolitan (large and small), (9)

155. Hcupnet Readmissions Methodology (pdf file)
     hcup-us.ahrq.gov/tech_assist/data_query/HCUPnet_Readmissions_Methodology.pdf
     November 01, 2012 - The investigation of states with large inflows of patients revealed that most of the hospitals involved … The investigation of states with large outflows of patients revealed that residents are seeking treatment … the HCUP data element PL_UR_CAT4 and defines urban by the Urban Influence Code (UIC) designation of large

156. Facts and Figures Exhibit 5.7
     hcup-us.ahrq.gov/reports/factsandfigures/2007/exhibit5_7.jsp
     January 01, 2007 - There was large growth in Medicaid stays for skin (92 percent), perinatal/newborns (55 percent), pregnancy … For uninsured stays, large increases in body system hospitalizations occurred in skin (136 percent),

157. Table 2: NIS and NHDS Comparisons by Region, 1999 (pdf file)
     hcup-us.ahrq.gov/reports/methods/1999NISComparisonReportFinal.pdf
     March 08, 2002 - For example, the NHDS estimate for discharges from large non- profit hospitals (more than 500 beds) is … The NIS provides a large sample of Medicare discharges both in managed care and fee-for-service plans … We decided to define small, medium, and large bed size categories nested within region and location/ … Bed size – small, medium, and large. … For example, a medium-sized teaching hospital would be considered a rather large rural hospital.

158. Potentially Preventable Pediatric Hospital Inpatient Stays for Asthma and Diabetes, 2003-2012 #192
     hcup-us.ahrq.gov/reports/statbriefs/sb192-Pediatric-Preventable-Hospitalizations-Asthma-Diabetes.jsp
     June 01, 2015 - characteristic, 2012 * p-value <0.01, when compared with the reference group: age <5 years, males, large … p<.01 for micropolitan residence compared with the large metropolitan reference group. … Children living in large metropolitan areas had a higher rate of hospitalization for asthma than did … Rates did not differ significantly between children living in large metropolitan versus small metropolitan … Female 141.9 110.1 -22.4 38.4 34.3 -10.6 Location (patient's residence) Large

159. Utilization of Intensive Care Services, 2011 #185
     hcup-us.ahrq.gov/reports/statbriefs/sb185-Hospital-Intensive-Care-Units-2011.jsp
     December 01, 2014 - Greater utilization of ICUs tended to occur in hospitals that were large, private/for profit, located … 135 18.0 407 54.3 208 27.7* Location Large metropolitan area 161 23.1 … Higher ICU utilization was common in large hospitals, hospitals located in large metropolitan areas, … The categorization of small, medium, and large is consistent with the grouping used for the HCUP National … Large metropolitan areas are metropolitan areas with at least 1 million residents; small metropolitan

160. Statistical Brief #159
     hcup-us.ahrq.gov/reports/statbriefs/sb159.jsp
     July 01, 2013 - Uninsured (self pay or no charge) 13.3 12.6 Urban or Rural Location (%)     Large … the adjusted rate of perforated appendix for adults decreased 12 percent among patients residing in large … Large fringe metropolitan (lowest rates): 2004, 283; 2005, 276; 2006, 276; 2007, 269; 2008, 263; 2009 … Large central metropolitan: 2004, 292; 2005, 283; 2006, 276; 2007, 276; 2008, 260; 2009, 257; 2010, … Central Metropolitan: Central counties of metropolitan areas with 1 million or more residents Large