Metrics Technical Advisory Workgroup
May 25, 2017
PLEASE DO NOT PUT YOUR PHONE ON HOLD – IT IS BETTER IF YOU DROP OFF THE CALL AND REJOIN IF NEEDED
Metrics Technical Advisory Workgroup May 25, 2017 PLEASE DO NOT - - PowerPoint PPT Presentation
Metrics Technical Advisory Workgroup May 25, 2017 PLEASE DO NOT PUT YOUR PHONE ON HOLD IT IS BETTER IF YOU DROP OFF THE CALL AND REJOIN IF NEEDED Todays Agenda Updates SBIRT EHR-based measure workgroup update TAG 2018
May 25, 2017
PLEASE DO NOT PUT YOUR PHONE ON HOLD – IT IS BETTER IF YOU DROP OFF THE CALL AND REJOIN IF NEEDED
and pregnancy intentions
primary care. TAG expressed concern about public health’s ability to document these situations in an EHR.
benchmark and target setting. TAG members feel that the current benchmark is too high and should be reviewed.
this way, but rather adjusting the benchmark and/or target methodology.
contraceptives/contraceptive counseling, rather than contraceptive use
(stop using surveillance codes)
intent of this measure before making a recommendation on potential modifications.
contraception access
avoid pregnancy for 35 of them
their lives
women (along with dental care!)
those on Medicaid got it in 2015
likely to end up below the poverty line 2 years later
relationships and are associated with worse maternal and infant
https://www.guttmacher.org/fact-sheet/contraceptive-use-united-states https://www.ansirh.org/research/turnaway-study https://www.nap.edu/catalog/4903/the-best-intentions-unintended-pregnancy-and-the-well-being-of
contraception claims.
pregnancy)
contraception (trying to get pregnant, not having sex with men)
benchmark
distributed by June 30
improvement targets if a CCO started to report CCO Medicaid only data
rebase calculation and the CCO is switching all of its reporting to CCO Medicaid only
for example, it would have to submit a rebase report of 2017 data that was limited to CCO Medicaid only
data submission used for performance calculation
clinics can report CCO Medicaid only
experiencing severe and persistent mental illness
TRANSFORMATION CENTER Health Policy & Analytics Division 11
to be published 13 June)
meet on July 31st.
contraceptive use measure, kindergarten readiness, and SBIRT
included in packets
Metrics & Scoring Committee approved in concept, subject to pilot testing and implementation decisions Initial Patient Population (IPP) = All patients aged 12 years and older before the beginning of the measurement period with at least one eligible encounter during the measurement period Rate 1: Screening D1 = IPP N1 = Patients who received an age-appropriate screening, using an SBIRT screening tool approved by OHA, during the measurement period, and had either a brief screen with a negative result or a full screen Rate 2: Brief intervention and referral D2 = Patients in IPP who had a positive full screen during the measurement period N2 = Patients who received a brief intervention, a referral to treatment, or both within 2 months of a positive full screen
hospital setting
* These are the same denominator exceptions as depression screening and follow-up measure, but intention is to allow for data capture in a queryable field, not just in SNOMED codes
email metrics.questions@state.or.us by June 9
June:
period for first year to start July 1, 2018?
approach setting a first year benchmark?
complexity and do not save work in terms of data and reporting.
bundled measures for implementation in 2018.
want to drop a group of people (age 19-21) that need help.
18 vs 19-21. Members also begin to fall into different rate groups as they get older.
intent of AWC measure is to establish healthy behaviors, sports physicals accomplish that.
up such a small percentage of AWC numerator hits, we do not want to deviate from HEDIS.
understand the difference in well care visits and sports physicals.
physicals at this time. The TAG wants to keep informed of the work
schedules
could allow slippage on the immunization schedule.
different measure treatment thresholds to follow the JNC 8 best practice guidelines (BP goal of 150/90 for ages 60-85 with no diagnosis of diabetes)
CMS specs used for Meaningful Use, MIPS, and CPC+
for people age 60+ is not good clinical practice
59 and under until CMS catches up with the HEDIS specs. Once CMS catches up, include entire population again.
EHRs; however, this option is worth exploring in order to implement clinical best practice.
programming this measure with HEDIS specs.
your EHR using the HEDIS specs for controlling high blood pressure?
Answers # of Respondents Yes 16 No 18 Unsure 6 Other 7
If your practice currently cannot generate a report from your EHR using HEDIS specs, how much effort would it take to be able to report to those specs?
unknown / unsure and then ranged from 1 hour all the way to 3 staff
change report; uncertainty about how much vendor support would be needed; costs; possible workflow modifications
priorities with other projects
This requires re-tasking current staff for a measure change that doesn’t help our clinic. We are performing within expectations on this measure and so aren't actively working to improve it.”
If your practice currently cannot generate a report from your EHR using HEDIS specs, how much time would it take to be ready to report to those specs? (Please give a rough estimate of time)
needing 1-2 weeks; 1 month; a few months; a year lead time
have to choose building from scratch in SQL or manually editing canned output. The decision would be based on our best guess at how much the measures are likely to diverge in the future.”
custom work across the state should be seriously considered with stakeholder feedback guiding the final decision.”
How much effort would it take your practice to be able to stratify an existing report from your EHR using CMS specs to limit the measure to patients aged 18-59?
a few days, 1 week to 1 month. Some vendors have agreed to do this; others haven’t
extensive and the report would be invalid after Oct. 21st. We are not sure what will be involved in requesting specialized reports out of [our EHR]”
have to move through testing, change control committees, migration to production, and final
losing access to patient-level outcomes. This also allows a greater chance of human error - miskeying out a swath of patients”
60+ pretty easily. The logic for ages 60+ and diabetes diagnosis is not possible with the existing reports.”
have relied primarily on the CMS/MU reports.”
Comments in favor of CMS specs
We are not easily able to get our EHR vendor to change specs and how reports are pulled and measured.
is best to align to CMS and then let CMS align to HEDIS as it sees fit. This keeps things simple and reduces
quality metrics for Meaningful Use (previously) there was no place to enter documentation for the different age ranges. It strictly looked at the CMS spec.
an additional measure to meet that will require custom report building.
alignment with the UDS metrics that occurred recently. I have no experience with the HEDIS metrics.
CMS seems out of line. The metrics and scoring committee is charged with designing and implementing a meaningful measurement system that supports health system transformation. I would rather see the benchmark change than see hundreds/thousands of practices across the state have to produce custom reports for OHA, while maintaining CMS compliant reporting for Medicaid/Medicare Meaningful Use.
As long as goals are set keeping in mind that a portion of the population is being managed to different clinical standards, one measure for all age groups should work for quality reporting. This won’t be true if one (or a handful) of CCOs or practices has a population that differs from the rest by age. I don’t know how likely that is
challenge for us. But once the report is created, it is easy to maintain.
HEDIS measure as more organization reports this measure to HEDIS and widely recognized among the medical community.
measures, communicating the targets to clinicians is better when there is one solid target, rather than a moving target based upon payer. The moving target, in the eyes of many, negates some of the clinical validity of targeting that as a benchmark, since it is not consistent.
recommendations and that we have to report on CMS specs. They feel that they will score lower on the quality metric while still practicing quality medicine. It is nice that someone is looking to do more up to date data gathering but we are at the mercy of the EHR system/vendor that we have. My bigger frustration with EHR supplied quality reports/data is that they are tied to a calendar year for attestation purposes. Quality should be reportable on an ongoing rolling 12 month time frame. My numerator and denominator should not go back to 0/0 on January 1st. In other words there should be two reports - one for attestation on the measure year and one for ongoing assessment. I know that's a little off topic - thanks for letting me vent.
require custom reports, however, as the standard vendor- supplied reports are in alignment with current CMS QPP specifications and not the HEDIS specs.
new MACRA/MIPS dashboard for reporting. We have no idea how this will look or function since it has not been completed yet. Scary since we are almost half way through the year.
does the TAG want to recommend changing the measure specs away from CMS specs in order to follow JNC 8 best practice guidelines (BP goal of 150/90 for ages 60-85 with no diagnosis of diabetes)?
children in the denominator
get measure credit, even if it’s not clinically necessary.
change.
results of OHA testing.
indicated to need sealants (e.g., at low risk)
the merits of risk coding.
that, while risk coding is increasing, still only 5% of kids have been coded.
at low risk, not to only measure children at elevated risk (very few children would be excluded based on current coding rates)
different encounters or on different days than the screening encounter
given under current specs if the clinic screens in advance
Referral to specialist/services
follow up in some geographies.
denominators in some CCOs.
as we move forward with CQM registry, this may be a measure we consider.
measure, and explore future inclusion of the follow-up component. If you are interested in participating in this work, please email us at metrics.questions@state.or.us
entered into EHR by care team
already count for numerator credit if the provider reviews screening results and discusses with family.
measure.
about allowing longer follow up timelines.
area”. “Out of state” is not sufficient because the metro area CCOs should still be responsible for following up for people in Vancouver.
person out of area makes it very difficult for them to meet the benchmark/target.
agreed that CCOs should bring any special cases to OHA’s attention and they can potentially be excluded on a one-off basis.
refusal
HTPP program.
flexibility to accommodate a reasonable rate of refusal. For CCOs with small denominators, if one person refuses it can cause them to miss the measure.
Metrics & Scoring Committee.
connection to appropriate services
CCOs would have to get documentation of physical, dental and mental health referrals.
before any modifications are made.
The Metrics and Scoring Committee is also considering the following related to 2018 metrics:
measure)?
population)
this?
population + SPMI population)
payment only if achieve both)
any feasible obesity metrics for 2018
documented during the current encounter or during the previous twelve months AND with a BMI outside of normal parameters, a follow-up plan is documented during the encounter or during the previous twelve months of the current encounter
https://ecqi.healthit.gov/ep/ecqms-2018-performance-period/preventive-care- and-screening-body-mass-index-bmi-screening-and
physical activity (children and adolescents)
Obstetrician/Gynecologist (OB/GYN) and who had evidence of the following during the measurement
index (BMI) percentile documentation
https://ecqi.healthit.gov/ep/ecqms-2018-performance- period/weight-assessment-and-counseling-nutrition-and- physical-activity
canned report?
now?
Answers # of Respondents Yes 21 No 11 Unsure 4 Other 4 Answers # of Respondents Yes 22 No 10 Unsure 1 Other 5
the PSHH patients. If we started to do that, then we'd have data to report.
with a slight variation in the followup component. Adding a new measure with the same intent but different methodologies would cause an added burden to reporting organizations.
UDS has different normal range specifications: Age 18-64: normal parameters are >=18.5 and < 25. Age 65+: normal parameters are >=23 and < 30.
counseling are sometimes covered in provider notes to the patients but not as part of coded data.
different BMI boundary for the elderly.
BMI, which is often not done in a way that is reportable right now. Low initial probability of complete and accurate data, could improve over time.
canned report?
now?
Answers # of Respondents Yes 17 No 13 Unsure 4 Other 4 Answers # of Respondents Yes 18 No 12 Unsure 3 Other 4
there is only 1 rate reported: Denominator = all children 3-17. Numerator = those with all 3: BMI documented & had counseling for nutrition & had counseling for exercise.
are not validated prior to publishing. In addition, all measures that are utilized as Meaningful Use measures are available for reporting for individual providers but not on a population or with patient level detail.
counseling are sometimes covered in provider notes to the patients but not as part of coded data.
Next meeting: June 22, 2017, 1-3 pm