Is Quality Assurance a Commodity RIEDLINGER

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Is Quality Assurance a Commodity? Commodity: something of use of advantage of value

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Virtual Data Warehouse

Transcript of Is Quality Assurance a Commodity RIEDLINGER

  • 1. Is Quality Assurancea Commodity? Commodity:something of useof advantage of value

2. Contributors: Karen Riedlinger Jeanette Bardsley Alan Bauck Gwyn Saylor Don Bachman Arthur Dixon Sabrina Luke 3. Win a Prize!Count the FYing words in the presentation electriFY justiFY stupeFY commodiFY codiFY quantiFY demystiFY clariFY indemniFY rectiFY uniFY skeptiFY 4. Funding for health researchis getting tighter 5. The investigator pondersbudget line items 6. How do I justIFYspending proposal money for QA? Is there benefit I can quantiFY? Will it help me indemniFY my conclusions?(indemnify=guarantee)QA may expose issues,but does it electriFY? 7. The investigator votes tocommodiFY QA, focusing on what benefits his project 8. Early discovery of poor data givesyou time to extract better data. 9. Early discovery of issuesallows time to fix tables TableSiteB SiteC SiteE SiteG SiteH SiteKDEMOG 6 PROCEDURE1 2 9 During 1. ENROLL trend analysis,7 discovered site was VITALS 5 8 missing many years of DEATH 10 3 data.LAB 4 10. Early discovery of issuesallows time to fix tablesTableSiteB SiteC SiteE SiteG SiteH SiteKDEMOG6 PROCEDURE 129ENROLL 7 VITALS5 82. When comparingDEATH 10 3distribution of procedures, LAB 4this site was missing somemajor categories. 11. Early discovery of issuesallows time to fix tablesTable SiteB SiteC SiteE SiteG SiteH SiteK3. When comparing deathDEMOG 6 PROCEDUREdates to utilization dates,1 2 9 ENROLLmany discrepancies found. 7 VITALS 5 8 DEATH 10 3LAB 4 12. Early discovery of issuesallows time to fix tables Table SiteB SiteC SiteE SiteG SiteH SiteKDEMOG4. Site, after looking at median and 6PROCEDURE1 2 9units, realized they had included an ENROLL7incorrect set of labs into one testtype. VITALS5 8 DEATH10 3LAB4 13. Early discovery of issuesallows time to fix tablesTableSiteB SiteC SiteE SiteG SiteH SiteK DEMOG 6 PROCEDURE 1 2 9ENROLL 7VITALS585. This site had never built DEATH10 3vitals and so could not LAB 4participate in this projectunless built. 14. Early discovery of issuesallows time to fix tables Table SiteB SiteC SiteE SiteG SiteH SiteKDEMOG6 PROCEDURE 1 2 9 6. A high percentage ofENROLL 7 cohort was missing VITALS5 8 demographic information. DEATH10 3LAB4 15. Early discovery of issuesallows time to fix tablesTableSiteB SiteC SiteE SiteG SiteH SiteKDEMOG6 PROCEDURE 1 2 9ENROLL 7 VITALS 7. After viewing5 8 DEATH comparisons of rates of10 3LAB4 insurance types site decided enrollment data needed to be reviewed. 16. Early discovery of issuesallows time to fix tables Table SiteB SiteC SiteE SiteG SiteH SiteKDEMOG6 PROCEDURE 1 2 9ENROLL 7VITALS 5 88. DEATH comparing rates of After10 3vital records across sitesLAB4decided they weremissing records. 17. Early discovery of issuesallows time to fix tablesTable SiteB SiteC SiteE SiteG SiteH SiteKDEMOG 6 PROCEDURE1 2 9ENROLL 9. Comparing their 7 VITALS distribution of5 8 DEATH px_codetypes with other 10 3LAB 4 sites, site investigated and found additional mapping resources. 18. Early discovery of issuesallows time to fix tablesTableSiteB SiteC SiteE SiteG SiteH SiteK 10. rectifY: this site,DEMOG6 PROCEDURE 1 2 after comparing 9ENROLL with other sites, 7 VITALSreinvestigated, 5 8 DEATH10 found new 3LABsources and 4 doubled the size of death file. 19. Early QA work makes youranalysis model more accurateDEMOGENCOUNTERENROLLCENSUSCAUSE OF DEATH PHARMACY 20. Early QA work makes youranalysis model more accurate Produced local individual reports: % in project cohort vs overall site DEMOG population.ENCOUNTERENROLLCENSUSCAUSE OF DEATH PHARMACY 21. Early QA work makes youranalysis model more accurateDEMOG Reviewed department andprovider missingness anddistribution to determine ifcombination could be used as ENCOUNTERproxy variable.ENROLLCENSUSCAUSE 22. Early QA work makes youranalysis model more accurateDEMOG ENCOUNTERdemystiFY: Asked sites to reviewtheir distribution across differentenrollment plans and comment onlarge variances when compared ENROLL with other sites.CENSUSCAUSE OF DEATH PHARMACY 23. Early QA work makes youranalysis model more accurateDEMOGENCOUNTERENROLLDiscovered percent in censusvariables (such as education) have CENSUS at least three different formats.CAUSE OF DEATH PHARMACY 24. Early QA work makes youranalysis model more accurateDEMOGENCOUNTERENROLLCENSUSProduced local lists of people who CAUSE are in COD but do not have OF underlying causetype or haveDEATH more than one. PHARMACY 25. Early QA work makes youranalysis model more accurateDEMOGENCOUNTERENROLLCENSUSCAUSE OF DEATH Produced local individual reports:PHARMACY % with drug coverage 26. My QA budget doesNOT need to break the bank 27. Take advantage of past QA work Confirmed with VDW Issue Tracker 28. CodiFY: Adapt existing QA programsfor your project *------------------------------------------------------------------------------------- Program Name: vdw_cod_qa_local_wp01v01.sas VDW Version: V3 Purpose: Create QA counts and statisitics for a sites VDW Cause of Death file. Generate reports to assist in verifying or improving data. Generate datasets to be returned and analyzed. -------------------------------------------------------------------------------------- Dependencies : VDW Content Areas&_VDW_CAUSE_OF_DEATH&_VDW_DEATH Other Files -------------------------------------------------------------------------------------- Folders appearing in the root directory are described below. document, input, local_only, sas, share -------------------------------------------------------------------------------------- document: Contains the workplan for this program. -------------------------------------------------------------------------------------- input: qa_macros.sas contain the QA Macros developed by CESR DCC called in this program -------------------------------------------------------------------------------------- 29. clariFY: Early in process,investigator meets with project staff to define important/fixable data to QA ImportantImportantNot fixableFixableNot importantNot importantFixable Not fixable 30. skeptiFY: We often do not knowwhat we dont know . 31. uniFYfocused,multisite QA isvaluable 32. Funding for healthresearch is getting tighter . . . . . . but how can I NOT justiFY spending proposal money for QA? 33. I vote to commodiFY QA. I will include QA as a line item in my proposal. Each project of mine can do limitedand focused QA. My project, with minimal amount of QAfunding, will help make the VDW better. 34. FOCUSED QUALITY ASSURANCEIS A COMMODITY 35. stupeFY:did you get the right count of FYing words?14