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FAQ Directory: HEDIS

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1.15.2019 Weight Assessment and Counseling for Nutrition and Physical Activity for Children/Adolescents (WCC) There was a change to the ICD-10 coding guidelines, effective October 1, 2018, related to the codes for reporting body mass index (BMI). The change allows providers to bill for BMI codes only if the member has a clinically relevant condition, such as obesity. How does this change affect reporting the BMI percentile documentation indicator of the WCC measure?

The ICD-10 coding change affects only the administrative-reporting method. Following the new guidelines, a provider would submit a claim with a BMI percentile code only when there is an associated diagnosis (e.g., overweight, obesity) that meets the new requirements.  “Healthy weight” is not considered an associated diagnosis. As a result, members in the denominator, whose only visit is in October, November, or December of 2018, without an appropriate ICD-10 code, due to the lack of an associated diagnosis, will not have claims that meet the current numerator criteria.

NCQA’s analysis shows that, because this measure is reported primarily through the hybrid-reporting option, the effect will be small. This change does not affect organizations using the hybrid method, because the rule pertains to only the use of ICD-10 codes on claims. It does not prohibit providers from measuring and documenting a BMI in the medical record.
 

HEDIS 2019

1.15.2019 Supplemental Data When using supplemental data for measures that require a result, does the actual numeric result need to be present in the supplemental data to meet criteria?

Yes. For all measures that require a result, the actual numeric value of the result must be present in the supplemental data to meet criteria. For example, when reporting the BP control indicator of the CDC measure, documentation of the code 3078F alone in the supplemental data cannot be used to indicate a diastolic level that is less than 80. The actual diastolic value (e.g., 79) must be present in the supplemental data to meet criteria. It is appropriate for the approved data to be mapped to code 3078F (or applicable codes) to integrate into vendor or internal systems for measure calculation. Mapping would need to be reviewed and approved by the auditor.

The only exceptions to this are described in a General Guideline FAQ posted 11/15/2018. The exceptions described in the 11/15 FAQ are for the ABA and WCC measures. When reporting the BMI indicators for both measures, height and weight do not need to be in the supplemental data, but the actual BMI value or BMI percentile, with the date, must be present. For the counseling for physical activity indicator of the WCC measure, a code in the supplemental data that is dated during the measurement year alone meets criteria. For counseling for nutrition indicator of the WCC measure, a code in the supplemental data that is dated during the measurement year alone meets criteria.

HEDIS 2019

12.14.2018 Controlling High Blood Pressure The Controlling High Blood Pressure measure includes optional exclusion criteria under the Hybrid methodology. May organizations apply optional exclusion criteria for both the administrative and hybrid reporting methods?

Yes. The intent is to allow organizations to apply the optional exclusion for both the administrative and hybrid specifications. When using the administrative specification, organizations must use the codes in the value sets to identify members who meet optional exclusion criteria. When using the hybrid specification, organizations should look for evidence of ESRD, kidney transplant, dialysis, pregnancy or a nonacute inpatient admission during the measurement year in order to identify members who meet optional exclusion criteria.

Keep in mind that all exclusions are subject to auditor review.

HEDIS 2019

12.14.2018 SES Guidelines* To calculate a member’s SES stratification, the instructions say to use the Monthly Membership Detail Data Files (MMDDF) for the measurement year to assess the member’s LIS, DE payment status. We find that in some months, members have multiple rows of data in the MMDDF, which represent adjustments for previous months. What should we do in this situation; is there a better file to use for determining SES?

Because the SES assessment is new and requires files not normally used for NCQA’s measure calculations, we have explored options for reporting members with these scenarios, and we think there are options for these data.
NOTE: NCQA’s Certification program tests one record per member based on the MMDDF.

  • Option 1: If you are using MMDDF and one month has multiple rows for a member with different values in one row or more, sum the values and use the result to compare to the other 3 months. Remember that what is important is whether the number is > 0 or it is < or = 0. See this example:

 

MemberRunDateLisPremiumSubsidy
12018 10 120000.00
12018 10 120035.50
12018 11 080035.50
12018 11 08-0035.50
12018 11 080035.50
12018 12 080035.50

This member is counted as LIS eligible: the sum of October = 35.50, the sum of November = 35.5, and December = 35.50 (all months are >0).

MemberLowIncomePeriodStartDateLowIncomePeriodEndDateLipsPercentagePremiumLisAmountContractYear
12016 09 012016 12 3110036.002016
12017 01 012017 12 3110036.002017
12018 01 01 10035.502018

 
This file clearly shows that the member was LIS eligible for the HEDIS 2019 measurement year (calendar year 2018). If you have access to this file, it may be the easiest, most accurate data to use.
 
NOTES:

  1. If the LowIncomePeriodEndDate is blank, the member is still eligible.
  2. Plans should use a copy of this file from December 2018 or later.

 
*This same FAQ was posted on November 15, 2018 but was updated in the December 2018 FAQ posting. In the above “NOTES” section, it used to read that plans should use a copy of the file from January 2019 or later. This date was corrected to December 2018 or later.
 

HEDIS 2019

12.14.2018 ECDS Must plans provide direct access of data to providers in order to meet the “data must be accessible to the care team” requirement in the ECDS general guidelines?

No. Plans do not need to be able to populate information directly into a provider EMR to meet this requirement. Plans can meet the requirement if they can provide requested information (phone, secure email, direct feed, provider portal, file request) to providers who are treating their members. Plans should have documented processes for providing information on how this works to be reviewed as part of the audit.

HEDIS 2019

12.14.2018 Appendix 3: PCP Definition May rural health centers be mapped to the PCP definition in Appendix 3 of Volume 2, similar to how Federally Qualified Heath Centers are handled?

No. Rural Health Clinics are not addressed in the updated PCP definition in Volume 2. All providers billing under the Rural Clinic facility codes must meet the definition of “PCP” in Appendix 3 in order to be included in the PCP-based HEDIS measures.

HEDIS 2019

12.14.2018 ECDS Must a plan be fully integrated to report HEDIS ECDS measures?

No. Although this plan type may have a slight advantage in accessing medical records because of its integrated system, EMRs do not necessarily contain comprehensive information on individuals. Many other data sources qualify as ECDS data sources, and plans are encouraged to utilize every reliable source of member data.

HEDIS 2019

12.14.2018 Mental Health Utilization When reporting ED or observation visits the measures states to exclude ED/observation visits that result in an inpatient stay. Should the ED/observation visit be excluded if the inpatient stay does not contain a principal mental health diagnosis?

The intent of excluding ED/observation visits that result in an inpatient stay is to not double count events. For example, an ED visit with a principal mental health diagnosis that resulted in an inpatient stay for a principal diagnosis of mental health is reported only once in the “Inpatient Stay” category. An ED visit with a principal mental health diagnosis that resulted in an inpatient stay with a principal diagnosis for something other than mental health (e.g., heart attack) is reported only once in the “ED” category.

HEDIS 2019

12.14.2018 ECDS May plans use administrative data (e.g., claims, enrollment) for ECDS reporting?

Yes. Plans may use administrative data to report HEDIS ECDS measures. Administrative data are a relevant data source and are one of four categories of data for ECDS reporting. If a plan’s administrative data files contain all the information it needs for a measure, it does not need additional data.

HEDIS 2019

12.14.2018 Identification of Alcohol and Other Drug Services and Mental Health Utilization In the “Any Service” category, how should we count members who have had eligible services in different age groups?

Categorize members in the “Any Services” category based on their age as of the first eligible encounter in any service category.

HEDIS 2019

12.14.2018 ECDS Who is considered part of the care team?

Any practitioner who provides care to or makes care decisions for or about a member’s care is part of the care team. Please note, if a measure has a practitioner type requirement the services required by the measure must still be performed by the appropriate practitioner type. However, the care team requirement for the data to qualify for ECDS reporting is not restricted by the practitioner type requirement.

HEDIS 2019

12.14.2018 Hospitalization for Potentially Preventable Complications On page 453 of the HPC measure, the language for the first sentence in step 3 under “Chronic ACSC” is different than the language for the first sentence in step 3 under “Acute ACSC”. Is the difference in the language intentional?

No, the difference in the language is not intentional and the reference to “on the discharge claim” was unintentionally excluded. Step 3 for Acute ACSC should contain the same language as step 3 for chronic ACSC. In step 3 for ACSC, for the remaining acute inpatient and observation stay discharges, organizations should identify discharges with specified criteria on the discharge.

HEDIS 2019