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  1. hcup-us.ahrq.gov/db/state/siddist/2015NJSIDSASDSEDDDNR081608.pdf
    June 01, 2018 - SASD), and State Emergency Department Databases (SEDD) for New Jersey were recreated in June 2018 to correct
  2. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or18.pdf
    February 01, 2012 - o If you are looking to “improve” one file (such as correct the race field), set it as File 1; otherwise … o Will results be used to “correct”, update, or supplement the state HR?
  3. hcup-us.ahrq.gov/db/state/siddist/2010_2011ARSIDCDDoc071414.pdf
    January 01, 2010 - The HCUP Central Distributor State Inpatient Databases (SID) for Arkansas 2010 and 2011 contain incorrect expected payer information for two hospitals in 2010 (exactly 4 percent of all discharges) and five hospitals in 2011 (about one percent of all discharges). The 2010 and 2011 AR SID have been recreated with corr…
  4. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or18.jsp
    July 01, 2016 - If you are looking to "improve" one file (such as correct the race field), set it as File 1; otherwise … Will results be used to "correct", update, or supplement the state HR?
  5. hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/mn12.pdf
    April 29, 2014 - Clinically Enhanced Data Lab Data Requirements Page 1 of 4 Clinically Enhanced Data Lab Data Requirements 6/13/2012 Field Name Opt Preferred format Table 1 MHA Hospital ID R 3 digits 2 Medical Record Number R 3 Patient Account Number R 4 Patient DOB R YYYYMMDD 5 Patient Sex…
  6. hcup-us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf
    December 16, 2005 - If the analyst wants finite population estimates, then factors are also needed to correct for the proportion … , which is the approach generally recommended for calculating standard errors and which will yield correct … Therefore, analysts may want to “correct” variance estimates to account for the fact that sampling error … The standard errors from a subset will be correct if every sample hospital has at least one observation … These additional observations induce the programs to use the correct formula for calculating standard
  7. hcup-us.ahrq.gov/reports/methods/2005-07.pdf
    January 01, 2005 - If the analyst wants finite population estimates, then factors are also needed to correct for the proportion … , which is the approach generally recommended for calculating standard errors and which will yield correct … Therefore, analysts may want to “correct” variance estimates to account for the fact that sampling error … The standard errors from a subset will be correct if every sample hospital has at least one observation … These additional observations induce the programs to use the correct formula for calculating standard
  8. Table 1 (pdf file)

    hcup-us.ahrq.gov/toolssoftware/comorbidity/Table1-FY2012-V3_7.pdf
    October 01, 2015 - Table 1 Table 1. Changes Made to Elixhauser Comorbidity Software for FY2012, Version 3.7 The following changes were made to the Elixhauser Comorbidity Software for fiscal year 2012. This year includes ICD-9-CM updates. These changes are incorporated in the tool currently available: Comorbidity Software, Version …
  9. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or22.pdf
    November 01, 2009 - 13.5 (9.4, 17.6) All other races 6,035 (78.6) 34.2 (33.4, 35.1) 1,461 (19.0) 8.1 (7.7, 8.6)  The correct
  10. hcup-us.ahrq.gov/db/state/siddist/NewYork2005-2006SIDandSASD.pdf
    January 01, 2005 - The 2005–2006 New York State Inpatient Databases (SID) and State Ambulatory Surgery Databases (SASD) purchased prior to the year 2010 contain some duplicate records. The duplicate records, while rare, occur in multiple hospitals across the State of New York. The issue of the duplicate records, however, is limited, …
  11. hcup-us.ahrq.gov/datainnovations/clinicaldata/ahrq-collect-transmission1.pdf
    January 15, 2008 - laboratory data where possible to assist in screening (diagnosis codes versus laboratory values) • Correct
  12. hcup-us.ahrq.gov/datainnovations/clinicaldata/MNPOAvideotranscript.pdf
    September 24, 2010 - time‐consuming, expensive efforts to improve clinical quality, we must  ensure that these data are complete and correct … This clearly is not correct.   … Given the symptoms which were  documented in the medical record, correct present‐on‐admission coding  … Next slide on screen:  Screens for Correct Coding of Complications    Michael speaking:  These screens
  13. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_3_6C.jsp
    January 01, 2005 - Exhibit 3.6. Orthopedic Procedures Exhibit 3.6. Orthopedic Procedures Number and Percent Distribution of the Most Frequent Musculoskeletal All-listed Procedures within Age Groups, 2005 CCS Procedure Category and Name (All-listed Procedures) Age Group All ages† <1 1-17 18-44 45-64 6…
  14. hcup-us.ahrq.gov/db/nation/nass/stats/nass_summary_stats_hospital_2021.pdf
    January 01, 2021 - NASS Summary Statistics 2021 16:25 Wednesday, February 14, 2024 1 Hospital File Contents Alphabetic List of Variables and Attributes Num Variable Type Len Pos Label 6 DISCWT Num 8 16 Encounter Weight 5 HOSP_BEDSIZE_CAT Num 3 71 Hospital Beds 1:0-99 2:100-299 3:300+ 2 HOSP_LOCATION Num 8 0 AHA: Location of Hospital…
  15. hcup-us.ahrq.gov/db/nation/nass/stats/NASS_Summary_Stats_Hospital_2022.pdf
    January 01, 2022 - NASS Summary Statistics 2022 14:04 Monday, November 11, 2024 1 Hospital File Contents Alphabetic List of Variables and Attributes Num Variable Type Len Pos Label 2 DISCWT Num 8 0 Encounter Weight 3 HOSP_BEDSIZE_CAT Num 3 52 Hospital Beds, 1:0-99, 2:100-299, 3:300+ 4 HOSP_LOCATION Num 3 55 AHA: Location of Hospital…
  16. hcup-us.ahrq.gov/db/nation/nass/stats/nass_summary_stats_hospital_2020.pdf
    January 01, 2020 - NASS Summary Statistics 2020 04:02 Wednesday, October 5, 2022 1 Hospital File Contents Alphabetic List of Variables and Attributes Num Variable Type Len Pos Label 7 DISCWT Num 8 24 Encounter Weight 6 HOSP_BEDSIZE_CAT Num 3 87 Hospital Beds 1:0-99 2:100-299 3:300+ 3 HOSP_LOCATION Num 8 8 AHA: Location of Hospital, …
  17. hcup-us.ahrq.gov/reports/methods/2015_09.jsp
    January 01, 2015 - This approach generally is recommended for calculating standard errors because it will yield correct … Analysts therefore may want to "correct" variance estimates to account for the fact that sampling error … The standard errors only will be correct if every sample hospital has at least one observation in the … These additional observations induce the programs to use the correct formula for calculating standard … : CODE FOR ANALYZING SUBPOPULATIONS USING SAS AND STATA The program code in this appendix yields correct
  18. hcup-us.ahrq.gov/reports/methods/2015-09.pdf
    January 01, 2015 - This approach generally is recommended for calculating standard errors because it will yield correct … Analysts therefore may want to “correct” variance estimates to account for the fact that sampling error … The standard errors only will be correct if every sample hospital has at least one observation in the … These additional observations induce the programs to use the correct formula for calculating standard … : CODE FOR ANALYZING SUBPOPULATIONS USING SAS AND STATA The program code in this appendix yields correct
  19. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or22.jsp
    July 01, 2014 - other states/areas which have not evaluated race data quality Conclusions and Future Work The correct
  20. hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2022_MaskedStats_Hospital.PDF
    January 01, 2022 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: kid 2022 Hospital File 14:10 Tuesday, November 5, 2024 1 Means of Continuous Data Elements Variable / Label N Minimum Maximum Mean Median Sum HOSP_KID : KID hosp…

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