Metrics & Scoring Committee
January 20, 2017
Metrics & Scoring Committee January 20, 2017 Consent Agenda - - PowerPoint PPT Presentation
Metrics & Scoring Committee January 20, 2017 Consent Agenda Review agenda Approve December minutes PCPCH final decision 2 Review workplan for 2018 measure selection 3 Public testimony Equity Measure (continued) 5 December
January 20, 2017
Review agenda Approve December minutes PCPCH final decision
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measures they might select
– Measures chosen most frequently include developmental screening, adolescent well care visits, effective contraceptive use, colorectal cancer screening, and emergency department utilization. – Populations chosen most frequently include age, race/ethnicity, geography, disability and/or mental health / severe and persistent mental illness diagnoses.
– Whether CCOs should be required to pick a racial/ethnic population – Whether age met the Committee’s intent for the measure – Whether white populations met the Committee’s intent for the measure – Whether a reporting only / process measure was possible
OHA recommends that the Committee only adopt one equity measure for 2018 (as there are multiple topics also under discussion for potential 2018 measures). Based on previous Committee discussion, workgroup discussion over the past year, measure feasibility, and recent performance, OHA recommends the Committee adopt one of two options.
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Select ED utilization as the equity measure for all CCOs. Each CCO must chose two populations experiencing disparities to focus on. ED utilization is high impact, has sufficiently large denominator for all CCOs, and shows disparities across multiple populations (including race/ethnicity, gender, language, urban/rural, people with SPMI, etc.)
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Benefits Limitations
Sufficient denominator size for all CCOs Utilizes existing data and reporting / can be monitored throughout the year Quality improvement efforts likely multi- faceted (e.g., access, avoidable ED, care coordination) Simple to explain While Oregon overall is doing well on ED utilization, certain populations are being left behind. Oregon already doing well on ED utilization (approaching 90th percentile for Medicaid population as a whole), so focus may be better put elsewhere.
ED utilization for individuals experiencing SPMI
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ED utilization among members with SPMI compared with members
39 39 46 53 41 48 50 45 31 41 33 47 60 39 45 64 95 97 106 142 105 117 109 109 83 104 84 113 120 89 122 155
utilization
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Select a specific population for all CCOs CCOs can select any of the incentive measures for which there is available data and sufficient denominator size (n>30) for which this population is experiencing a disparity.
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Benefits Limitations
Sufficient denominator size for all CCOs Historically disadvantaged population Multiple measures to select from Utilizes existing data Focus on one population could result in significant improvements across multiple areas Simple to explain Focus on one population but multiple measures could result in confusion, or lack
population, particularly in areas where CCOs share geography. CCOs will need to select measure and write proposal.
Option 2a: select members with disability as the specific population Option 2b: select members with SPMI as the specific population
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Additional benefits Additional limitations Eligibility codes apply to both children and adults, further increasing the number of applicable measures Reporting relies on Medicaid eligibility codes; self-reporting is not included, resulting in an undercount of all members with disability. Additional benefits Additional limitations SPMI diagnosis apples to adults only, limiting the number of measures from which CCOs could choose.
Staff does not recommend selecting a racial/ethnic group as the specific population for the equity measure.
population (with the exception of Hawaiian / Pacific Islander), the measure for which the CCO might have sufficient population (n>30) may not be an area where that population is experiencing a disparity.
population that may not show disparity, or where greater disparities exist among other populations.
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The full range of patients’ interactions with the health care system, from scheduling appointments to interactions with their providers, to the course of treatment, including whether these interactions meet patient needs and goals – FamiliesUSA Quality Measurement Brief The sum of all interactions, shaped by an organization’s culture, that influence patient perceptions across the continuum of care – The Beryl Institute The range of interactions that patients have with the health care system, including their care from health plans, and from doctors, nurses, and staff in hospitals, physician practices, and other health care facilities. As an intergral component of health care quality, patient experience includes several aspects
care, such as getting timely appointments, easy access to information, and good communication with providers - AHRQ
patient experience in programs, including ACOs, hospital value-based purchasing, etc…and CMS Access Monitoring Plan requires CAHPS data.
higher levels of adherence to recommended prevention and treatment processes, better clinical outcomes, better patient safety, and lower utilization.
generating information about aspects of care for which patients are the best / only source.
subjective reviews (e.g., ratemydoc, Yelp)
medical training and “satisfaction” = “happiness”, which is highly subjective to factors unrelated to care provided.
are not directly associated with quality processes.
immediate desires, regardless of care experience / benefit, which reduces the validity of their perspective.
collecting and reporting patient experience information.
health care, hospice, hospitals, surgical care, and more. CAHPS is under constant research to improve it and new CAHPS surveys for ACOs, emergency departments and other settings are under development.
– Summarizes large amounts of information and makes it easier for people to review and compare (fewer points of comparison) – Recommended as primary reporting strategy
Can compare state performance to national benchmarks Can compare performance across health plans or for specific populations to identify gaps Can use CAHPS results to develop a priority matrix to identify gaps and strengths, based on correlation between the Rating of Health Care measure and other composites.
0.4 0.8 0.0 A1 A2
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S2 H C1 C4 C3 C2 A4 A3 High correlation Low priority High correlation High priority
Low correlation High priority Low correlation Low priority Correlation with Health Care Rating
(Members received appointments and care when they needed them)
(Health plan customer service treated member with courtesy and respect and provided needed information)
Q4: Whether the respondent got urgent care for illness / injury as soon as they needed Q6: Whether the respondent got non-urgent appointments as soon as they needed Adult Child
Statewide Excellent / Very Good / Good Health Status Fair / Poor Health Status Male Female CCO Range National Comparison Q4 84% 87% 79% 87% 83% 75 – 91% 84% Q6 77% 77% 78% 76% 78% 72 – 84% 78% Average 80.7% 82.2% 78.3% 81.6% 80.5% 75.1 – 85.1% 80% Statewide Excellent / Very Good / Good Health Status Fair / Poor Health Status Chronic Conditions No Chronic Conditions CCO Range National Comparison Q4 92% 93% 83% 93% 91% 86 – 97% 91% Q6 84% 85% 72% 84% 85% 80 – 93% 88% Average 88.1% 89.1% 77.4% 88.5% 87.9% 83.9 – 94.8% 90%
Q31 / 50: How often the health plan’s customer service gave necessary information / help Q32 / 51: How often the health plan’s customer service was courteous and respectful Adult Child
Statewide Excellent / Very Good / Good Health Status Fair / Poor Health Status Male Female CCO Range National Comparison Q31 76% 77% 75% 78% 75% 72 – 87% 80% Q32 91% 93% 90% 91% 92% 87 – 97% 93% Average 83.6% 84.4% 82.8% 84.6% 83.4% 77.8 – 89.6% 87% Statewide Excellent / Very Good / Good Health Status Fair / Poor Health Status Chronic Conditions No Chronic Conditions CCO Range National Comparison Q50 79% 79% 79% 77% 80% 68 – 85% 82% Q51 91% 91% 91% 90% 92% 84 – 97% 94% Average 85.3% 85.1% 85.0% 83.6% 85.9% 75.6 – 90.5% 88%
Limited options
supported by qualified language services providers
12 months
measured by the Inpatient Consumer Survey