Pay for Performance: Data Collection and Reporting Results Kathryn Fristensky Director, Product Development PFP Boot Camp for Physicians and Physician.

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Pay for Performance: Data Collection and Reporting Results
Presentation transcript:

Pay for Performance: Data Collection and Reporting Results Kathryn Fristensky Director, Product Development PFP Boot Camp for Physicians and Physician Organizations February 2006

Overview The data problem Ways of approaching the data problem Reporting results Kinds of rewards

The data problem The data you want: Electronically available and therefore less expensive to collect Measuring outcomes Audited Publicly reportable Statistically comparable Physician-level or practice-level Across all health plans Physician level Group Level Practice Level Health Plans

If you cant be with the one you love, love the one youre with

Claims data The data you want: Electronically available and therefore less expensive to collect yes Measuring outcomes no Audited yes Publicly reportablesometimes Statistically comparablesometimes Physician-level or practice-level sometimes Across all health plans no Group Level Health Plans

Medical records data The data you want: Electronically available and therefore less expensive to collectno, except for EHRs Measuring outcomesyes! Auditedcan be Publicly reportable yes Statistically comparabledepends on sample size Physician-level or practice-level yes Across all health plans -yes Physician level Practice Level

Large-plan claims data: One solution Plan attributes PPO and other patients to physicians based on claims data Plan groups physicians into practices based on available identifiers Plan applies process measures available from claims data Plan reports data for physicians/practices that have sufficient sample size Plan may combine quality measures with cost measures in reports

Issues with claims data at physician level: Attribution In settings where patients are not assigned, plans decide differently how to attribute patients to a particular physician or medical group –At least one visit; or should MD have at least 30% or 50% of visits? More stringent rules reduces % of patients who can be attributed –Can patients be attributed to multiple doctors? Everyone who touches patient is responsible for good (and bad) –What is the time period for defining attribution? –Currently, most common to use the one-visit definition and give all docs credit (good & bad) for the measure

Issues with claims data at physician level: Reliability How to get a stable and reliable estimate of physician performance –Require minimum denominator size? –More stringent requirements reduce the number of physicians who have enough data especially when data system covers small portion of a physicians practice (i.e., when a medium-sized health plan is measuring) –Easier to get enough people in denominator for preventive screening measures with broad eligible populations –Aggregating to practice or group level may work, as in Massachusetts –Aggregating data across health plans is another approach, as in California

Medical records data: Another solution NCQA Recognition approach: Practice self-identifies physicians using specifications Practice self-assesses and collects data using Web- based tool with specificationsNCQAs or ABIMs Practice submits documentation on structure, process and outcomes to NCQA when ready NCQA evaluates & scores all submissions Practice can submit more data if needed NCQA conducts additional audit of sample of practices NCQA reports composite measure--those that meet thresholds Data feed goes to BTE and health plans

NCQAs Recognition Program Physician Directory Additional physician practice data available Physicians with multiple recognitions clearly identified

Pay rewards and/or applications fees to recognized MDs Anthem (VA) Blue Care Network (MI) BCBS (SC) BTE (KY, MA, NY, OH, GA, CO) CareFirst (DC-MD-VA) ConnectiCare HealthAmerica (PA) Oxford (NY) First Care (FL) Many kinds of PFP Actively steer patients to recognized MDs BTE (KY, OH) Show seals in Provider Directory 1. Aetna 2. CIGNA 3 GeoAccess 4. Humana 5. Medical Mutual (OH) 6. United Help practices with data collection Blue Care Network (MI) BTE (KY, MA, OH, NY) Oxford (NY) United (4 areas) United (5 areas) National Business Coalition on Health (4 areas) Additional markets Use for network entry Aetna, CIGNA

Recognition Programs & BTE +450% DPRP Physicians – BTE Diabetes Care Link areas +33%2,3781,787 DPRP Physicians -- All % Change12/2005 Pre-BTE 6/2003 Program

What weve learned from Recognition Programs Measurement provides physicians with a new perspective on their practice Practices change their processes in order to pass recognition standards Clinical data is very hard to get, until EHRs produce it You can evaluate generalists and some specialists National standards are just as hard for small and large practices Measurement + Rewards = Improvement!

Access NCQA & BTE NCQA Web site Diabetes Physician Recognition Program page Heart Stroke Recognition Program page Physician Practice Connections page Recognized physicians: NCQA Customer Support (888)