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Total Results: 649 records

Showing results for "correct".

  1. 2021 NASS Known Data Issues

    hcup-us.ahrq.gov/db/nation/nass/nassknowndataissue_2021.jsp
    January 01, 2021 - The following lists the steps needed to correct these records: Download the two software tools from

  2. Link Plus Tip Sheet and Resources

    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?

  3. Calculating Variances Using the 1999 Nationwide Inpatient Sample (pdf file)

    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

  4. Calculating Variances Using the 1999 Nationwide Inpatient Sample (pdf file)

    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

  5. Mnpoavideotranscript (pdf file)

    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

  6. HCUP Methods Series Calculating National Inpatient Sample (NIS) Variances for Data Years 2012 and Later

    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

  7. Calculating Variances Using the 1999 Nationwide Inpatient Sample (pdf file)

    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

  8. Calculating Variances Using the 1999 Nationwide Inpatient Sample (pdf file)

    hcup-us.ahrq.gov/reports/methods/2003_02.pdf
    January 01, 2003 - If the analyst wants finite population estimates, then factors are also needed to correct for the proportion … is the approach generally recommended for calculating standard errors and which will always yield correct … Therefore, analysts may want to “correct” variance estimates to account for the fact that sampling error … These additional observations induce the programs to use the correct formula for calculating standard … ANALYZING SUBPOPULATIONS USING SAS, STATA, AND SUDAAN8 The program code in this appendix yields correct

  9. HCUP Methods Series Calculating Nationwide Inpatient Sample (NIS) Variances for Data Years 2011 and Earlier

    hcup-us.ahrq.gov/reports/methods/2003_02.jsp
    January 01, 2003 - If the analyst wants finite population estimates, then factors are also needed to correct for the proportion … 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 … ANALYZING SUBPOPULATIONS USING SAS, STATA, AND SUDAAN 8 The program code in this appendix yields correct

  10. Microsoft PowerPoint - 4 MHAJan2008_lah.ppt (pdf file)

    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

  11. 2010 2011Arsidcddoc071414 (pdf file)

    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…

  12. 2015 Minnesota SASD

    hcup-us.ahrq.gov/db/state/sasddist/2015_MN_CD.jsp
    January 01, 2015 - State Ambulatory Surgery and Services Databases (SASD) for Minnesota were recreated in March 2019 to correct

  13. Record Linkage to Enhance STD/HIV Surveillance Data for OR AI/AN Population (pdf file)

    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

  14. Clinically Enhanced Data Lab Data Requirements (pdf file)

    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…

  15. Slide 1 (pdf file)

    hcup-us.ahrq.gov/datainnovations/ICD10Imp_Romano_NAHDO_October2016.pdf
    October 27, 2016 - AHRQ Quality Indicators project (contract # HHSA290201200003I) Methods • Cleaned data to remove or correct … productivity monitoring, and financial impact analyses • Dual coded data helped AHRQ to identify and correct

  16. Nass Summary Stats Hospital 2020 (pdf file)

    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. Nass Summary Stats Hospital 2022 (pdf file)

    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…

  18. Nass Summary Stats Hospital 2021 (pdf file)

    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…

  19. Kid 2019 Maskedstats Hospital V2 (pdf file)

    hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2019_MaskedStats_Hospital_V2.PDF
    January 01, 2019 - 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 2019 Hospital File 14:21 Friday, December 2, 2022 1 Means of Continuous Data Elements Variable / Label N Minimum Maximum Mean Median Sum HOSP_KID : KID hospi…

  20. Kid 2022 Maskedstats Hospital (pdf file)

    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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