Need clarification on template counts

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    • Type: QRDA-III Standard
    • Resolution: Delivered
    • Priority: Minor
    • Component/s: None
    • None
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      We need clarification on QRDA 3 counts when it comes to Gender, Race, Ethnicity and Payer.

      If users have not entered data such as Gender or Race or Ethnicity or Payer, then can such patients be part of aggregate count but not that specific entry relationship tag.

      For e.g. if IPP is 10, and say gender is missing for 2 patients, race for 4 patients, ethnicity for 3 and payer for 5. Is below mention output make sense to you? Reason I asked because sum of Gender or Race or Ethnicity or Payer doesn’t matches IPP aggregate count.

      IPP(aggregate)=10

      Gender: Male=4, Female=3, Undifferentiated=1

      Ethnicity: Hispanic or Latino = 2, Not Hispanic or Latino=5

      Race: White=2, Asian=1, American Indian or Alaska Native=1, Black or African American=2, Native Hawaiian or Other Pacific Islander=0, Other Race=0

      Payer: Medicare(A)=1 , Medicaid(B)=2 , Private Health Insurance(C)=2 , Other(D)=0

      Lastly, as per IG payer has to primary, if users didn’t mark insurance as primary then do we have to exclude those patient form payer template but it will be still part of aggregate count.
      Show
      We need clarification on QRDA 3 counts when it comes to Gender, Race, Ethnicity and Payer. If users have not entered data such as Gender or Race or Ethnicity or Payer, then can such patients be part of aggregate count but not that specific entry relationship tag. For e.g. if IPP is 10, and say gender is missing for 2 patients, race for 4 patients, ethnicity for 3 and payer for 5. Is below mention output make sense to you? Reason I asked because sum of Gender or Race or Ethnicity or Payer doesn’t matches IPP aggregate count. IPP(aggregate)=10 Gender: Male=4, Female=3, Undifferentiated=1 Ethnicity: Hispanic or Latino = 2, Not Hispanic or Latino=5 Race: White=2, Asian=1, American Indian or Alaska Native=1, Black or African American=2, Native Hawaiian or Other Pacific Islander=0, Other Race=0 Payer: Medicare(A)=1 , Medicaid(B)=2 , Private Health Insurance(C)=2 , Other(D)=0 Lastly, as per IG payer has to primary, if users didn’t mark insurance as primary then do we have to exclude those patient form payer template but it will be still part of aggregate count.
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      If the EHR does not have the data for the supplemental data elements, then don’t add it to the aggregate count. For example, the total count of race may be less than the count in a population if the patients do not have race values in EHR. You have to make sure to always report for each code, even though the aggregate count is zero like you have in your example (Other Race = 0). You output looks fine for gender, ethnicity and race.

      For payer, it might need some analysis on your specific data. No Payment Listed is part of the Code D (Other) in the CMS Payer Grouping value set. Your Other(D) may not be 0 count. If patient has multiple insurance and none is marked as primary, maybe your EHR has some other logics to distinguish. You should report the payer in QRDA-I, and in QRDA-III count the payer as part of the aggregate count.
      Show
      If the EHR does not have the data for the supplemental data elements, then don’t add it to the aggregate count. For example, the total count of race may be less than the count in a population if the patients do not have race values in EHR. You have to make sure to always report for each code, even though the aggregate count is zero like you have in your example (Other Race = 0). You output looks fine for gender, ethnicity and race. For payer, it might need some analysis on your specific data. No Payment Listed is part of the Code D (Other) in the CMS Payer Grouping value set. Your Other(D) may not be 0 count. If patient has multiple insurance and none is marked as primary, maybe your EHR has some other logics to distinguish. You should report the payer in QRDA-I, and in QRDA-III count the payer as part of the aggregate count.

          Assignee:
          Yan Heras
          Reporter:
          Abhishek Jaiswal
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            Created:
            Updated:
            Resolved: