An organization must provide documentation that the community hospital/clinic meets DEA requirements. The organization must also include evidence of verification of the facility DEA in the credentialing file.
Here are some of the most frequently asked questions about NCQA’s various programs. If you don’t see what you are looking for in one of the entries below, you can ask a question through My NCQA.
Save your favorite pages and receive notifications whenever they’re updated.
You will be prompted to log in to your NCQA account.
Save your favorite pages and receive notifications whenever they’re updated.
You will be prompted to log in to your NCQA account.
Share this page with a friend or colleague by Email.
We do not share your information with third parties.
Share this page with a friend or colleague by Email.
We do not share your information with third parties.
Print this page.
Print this page.
No. Add-on personal care services do not fall within the scope of UM 4-UM 7, but they can be appealed under RR 2 or UM 8 and UM 9. Personal care services that are a part of the medical benefit fall within the scope of medical necessity review if an assessment must be done to determine the member is eligible for the services or if the services will be covered. In such cases, the services would be within the scope of UM 4-UM 7.
The answer depends on whether the organization presents sanction information every 30 days to its Credentialing Committee. If so, there is no need to report it at the time of recredentialing. If not, the organization would need to verify and present adverse information to the Credentialing Committee at recredentialing.
Yes. If the member does not answer the call-back, it is counted as abandoned. If the member answers the call-back and the reports show the results, the call is not counted as abandoned because the member was kept in the queue.
For timeliness (Element C, factor 1), because it is unlikely that the system would start the call-back process before 30 seconds, the call counts as answered outside the 30 seconds.
Yes. If the member does not answer the call-back, it is counted as abandoned. If the member answers the call-back and the reports show the results, the call is not counted as abandoned because the member was kept in the queue.
For timeliness (Element C, factor 1), because it is unlikely that the system would start the call-back process before 30 seconds, the call counts as answered outside the 30 seconds.
Yes. If the member does not answer the call-back, it is counted as abandoned. If the member answers the call-back and the reports show the results, the call is not counted as abandoned because the member was kept in the queue.
For timeliness (Element C, factor 1), because it is unlikely that the system would start the call-back process before 30 seconds, the call counts as answered outside the 30 seconds.
In your example, the measurement period is 180 days (January 1_June 30). Step 2 of the numerator criteria reads, "within the measurement period, count the number of days the member was covered." In this case, look for covered days from January 1_June 30; in essence, the numerator is being capped. The PDC is not calculated by summing the days supply for pharmacy claims. You may need to set up a time array for each claim, to identify the time frame covered by each fill, then count the number of days in the measurement period that are covered by the time arrays. Thus, the numerator may not exceed the denominator for the person-level PDC calculation. Refer to the attached example for SAS code for arrays.
At least two prescriptions means that the patient had at least two pharmacy claims for a drug in the target class (this can be refills for the same drug). In the numerator, for a day to be covered, a patient must have a supply on hand of at least one drug in the class.
PDC measures are calculated through use of paid, nonreversed claims for target medications. If the drug claims dataset contains claim reversals (and paid claims that were reversed), analysts must ensure that the reversed claims are not used to calculate PDC. Claim reversals can be identified through multiple methods because there may be multiple fields in a drug claim that indicate whether it is a reversal. Many drug claims datasets have a Count field that contains a 1 for a paid claim and a -1 for a claim reversal. The dataset may also have a field called Reversal that contains a Y if the claim is a reversal claim, or an N if it is not a reversal. Reversal claims typically have a negative quantity and a negative cost.
The claim reversal (-1 in the Count field or Y in the Reversal field) may have a Claim Number that is identical to the original claim being reversed. If the Claim Number for the reversal claim is not identical to the Claim Number for the original claim, analysts can create coding logic that will identify the reversed claim as immediately preceding the claim reversal. This latter approach is not usually necessary because most drug claims datasets allow a claim reversal to be linked to an original claim.