Performance Measures 101 Presenter: Peggy Ketterer, RN, BSN, CHCA Executive Director, EQRO Services Health Services Advisory Group June 18, 2007 3:15 p.m.–4:45.

Performance Measures 101Performance Measures 101

Presenter:

Peggy Ketterer, RN, BSN, CHCAExecutive Director, EQRO Services

Health Services Advisory Group

June 18, 2007

3:15 p.m.–4:45 p.m.

Balanced Budget Act (BBA) of 1997


42CFR438.240

States must require each managed care organization (MCO) and pre-paid inpatient health plan (PIHP) to annually measure and report performance to the state using standardized measures.

Balanced Budget Act (BBA) of 1997 (cont)

42CFR438.356

The BBA also requires that states contract with an EQRO for an annual independent review of each MCO and PIHP to evaluate the quality and timeliness of, and access to, health care services provided to Medicaid enrollees.


42CFR438.358

States must ensure that the performance measures are validated annually through the external quality review process.

Performance Measures

What is a Performance Measure?

A quantitative measurement by which goals are established and performance is assessed.

Performance Measures (cont)

Performance Measure Characteristics:

• Standardized

• Clearly defined

• Meaningful and timely

• Results in comparable data

Performance Measures (cont)

Why measure performance?

To obtain solid data to evaluate performance and make decisions on what improvements are necessary.

Performance Measures

Key Roles:

• States identify measures and data submission format

• MCOs and PIHPs collect, calculate, and submit performance measure data to the State using required submission format

• Performance measures are validated annually by the EQRO following required CMS protocols

Calculation and Reporting of Performance Measures

Performance Measure Calculation:

A Brief Overview

Step 1: Identify necessary data sources and data elements for reporting the selected measures

• Membership/enrollment data

• Claims/encounter data

• Other administrative data (if available), i.e., disease management database, kept appointment database


Step 2: Prepare data set

• Extract data

• Clean data (valid variables, formats)

• Verify completeness and accuracy

• Establish data element to link data sources (unique member ID)


Step 3: Produce source code to calculate measures

• Calculate continuous enrollment and anchor date

• Determine member age and gender• Include diagnosis and procedure codes needed

to identify service events• Exclusion logic


Step 4: Calculate measures administratively

• Run source code

• Examine output files

• Review preliminary administrative results


Step 5: Hybrid Sampling (if applicable)

• Supplement administrative data with medical record pursuit

• HEDIS-like methodology preferable (411 sample)

• Systematic sampling


Step 6: Collect medical record data

• Use standardized criteria– Tools

– Instructions

• Establish a sound process for monitoring data collection accuracy (inter-rater reliability, over-reads)


Step 7: Combine administrative and medical record data

• Logic for duplicates

• Methodology for integration into reporting repository


Step 8: Validate results

• Review calculated rates for reasonability

• Examine data output file and verify with source data (membership and encounter data)


Step 9: Submit Performance Measure reports to the state

• Utilize state-specified format

Calculation and Reporting of Performance Measures (cont)

Hybrid/MRR – Negative Aspects

• Typically more expensive

• More burdensome to capture data

• May not always increase administrative rate drastically


• Written Description

• Calculation (the percentage of X who had Y)

• Eligible Population Criteria

• Numerator Event Criteria

• Exclusion Criteria

• Reporting Format

Diagram of a Performance Measure

The percentage of discharges of members 6 years of age or older who were hospitalized for treatment of selected mental health disorders and who were seen on an outpatient basis or were in intermediate treatment with a mental health provider.

Written Description

Two calculations will be generated:•The percentage of discharges for members who had an outpatient or intermediate mental health visit on the date of discharge, up to 30 days after hospital discharge and•The percentage of discharges for members who had an outpatient or intermediate mental health visit on the date of discharge, up to seven days after hospital discharge

Calculation

•Specifies any age, continuous enrollment (CE), and event/diagnosis requirements.•Age: 6 years or older as of the date of discharge•CE: Date of discharge through 30 days after discharge•Event/diagnosis: Discharged from an inpatient setting of an acute care facility with specific principal diagnosis codes indicating a mental health disorder

Eligible Population Criteria

•An outpatient mental health encounter or intermediate treatment with a mental health provider within the specified time period.

•CPT, HCPCS, and revenue codes are listed to identify qualifying visit type.

Numerator Event Criteria

•Specifies certain diagnoses or circumstances that would qualify for an exclusion

Exclusion Criteria

•Identifies the data elements necessary for reporting (i.e. eligible population, numerator events, rate)

•Includes a grid for entering data elements

Reporting Format

•Specifications are typically selected or developed by the State with input from the MCOs.•Specifications that are developed by the State may require modifications, clarifications, and further refinement after first year of reporting.•Specifications and measure results should be re-evaluated annually to ensure they are comparable, valid, and meaningful.

Performance Measure Development

Step-by-step review of HEDIS performance measure specification with discussion of

implementation

Group Exercise

Questions and Answers

Open Discussion

Performance Measures 101 Presenter: Peggy Ketterer, RN, BSN, CHCA Executive Director, EQRO Services Health Services Advisory Group June 18, 2007 3:15 p.m.–4:45.

Documents

performance measure

performance measureswhat

report performance

performance measures

data elements

solid data

necessary data sources

standardized measures