Mathematica Policy Research, Inc.
Princeton, New Jersey, 08543-2393, United States
NCT Number: NCT06617533
The Primary Care First (PCF) Model, sponsored by the Center for Medicare & Medicaid Innovation (Innovation Center) of the Centers for Medicare & Medicaid Services (CMS), is a multipayer advanced primary care model that aims to strengthen primary care by transforming how primary care practices deliver care. The PCF evaluation will assess how the PCF Model was implemented; how practices transformed care; and the effects on health care cost, service use, quality of care, and the experiences of patients, primary care practitioners, and staff. The evaluation will also identify facilitators and barriers to implementation and improved outcomes.
This study is active but is not currently recruiting participants.
All sexes
Observational
Princeton, New Jersey, 08543-2393, United States
The Innovation Center launched the PCF Model in 2021. The PCF Model will test whether financial risk and performance-based payments for outcomes, including the acute hospitalization rate, will (1) reduce total Medicare fee-for-service (FFS) expenditures, (2) reduce use of health care services, and (3) preserve or enhance quality of care. The PCF Model will provide payments to participating practices through (i) a per beneficiary per month (PBPM) prospective payment and (2) a Flat Visit Fee, subject to a geographic adjustment factor. PCF practices may further be eligible for a quarterly Performance-based Adjustment (PBA) based on meeting certain performance and quality benchmarks.
The PCF Model builds on principles and experiences from past Innovation Center initiatives, including the Comprehensive Primary Care Initiative, Multi-Payer Advanced Primary Care Practice (MAPCP) demonstration, and Comprehensive Primary Care Plus (CPC+). CMS enrolled practices in the PCF Model in one of two cohorts. Cohort 1 practices participate from January 1, 2021, through December 31, 2025. Cohort 2 practices participate from January 1, 2022, through December 31, 2026. Cohort 2 includes many practices that participated in CPC+. CMS defines a primary care practice under the PCF Model as one or more primary care providers (physician, nurse practitioner, physician's assistant, or clinical nurse specialist) working within the same physical office location or practice site.
The primary goal of the evaluation is to determine whether the PCF Model preserves or enhances quality of care for Medicare FFS beneficiaries and lower expenditures for CMS. The general study design will compare beneficiaries in PCF practices with beneficiaries that receive care at matched comparison practices that aren't participating in PCF but are located in PCF regions. The study will rely on three types of data sources: (1) Medicare FFS claims and enrollment data, (2) payment data for the PCF Model and other CMS programs, and (3) area-level data sets with information on beneficiary and practice characteristics.. Using these data sources, investigators also plan to evaluate the impact of the model on health care service use and a set of secondary outcomes.
Only the study team can determine whether someone qualifies for participation.
Practice Inclusion Criteria:
Beneficiary Inclusion Criteria:
Beneficiary Exclusion Criteria:
PCF practices practices receive (1) a per-beneficiary-per-month prospective payment that depends on the average health of their attributed Medicare beneficiaries; (2) a Flat Visit Fee for primary care visits, subject to a geographic adjustment factor, and (3) a Performance-based Adjustment (PBA). The PBAs depend on practices' performance on several quality measures in addition to their performance in reducing beneficiaries' use of inpatient care or total cost of care, relative to national and regional benchmarks. Practices must meet a limited set of care delivery requirements and can use the PCF Model's flexible use of payments to invest in strategies that best suit their practices' unique patient population and resources. In return, practices take on limited financial risk in exchange for performance-based payments that reward participants that meet certain performance and quality benchmarks for selected outcomes.
Time frame: 5 years
Measured per 1,000 beneficiaries per year. Given the model payment structure rewards practices for decreasing hospitalizations, we hypothesize acute hospitalizations are the primary mechanism for reduced expenditures.
Time frame: 5 years
Measured in dollars per beneficiary per month. Impacts on expenditures are central to CMS's decisions to expand an Innovation Center model and used to determine model PBA payments for practices.
Time frame: 5 years
Measured per 1,000 beneficiaries per year. Evaluations of similar primary care models (such as Comprehensive Primary Care Plus) found participating practices reduced medical admissions. We may expect to see impacts on this before impacts are evident on the broader acute hospitalization measure, which includes surgical admissions.
Time frame: 5 years
Measured per 1,000 beneficiaries per year. Care delivery activities that seek to reduce acute hospitalizations may reduce ED utilization.
Time frame: 5 years
Measured per 1,000 beneficiaries per year. Care delivery activities that seek to reduce acute hospitalizations may reduce ED utilization; effects may be concentrated among primary-care-substitutable ED visits.
Time frame: 5 years
We may expect to see reductions in hospital readmissions through practices' focus on episodic care management.
Time frame: 5 years
We may expect to see reductions in unplanned acute care (including ED visits, observation stays, and unplanned readmissions) through practices' focus on episodic care management.
Time frame: 5 years
Fewer acute hospitalizations may result in lower total PAC expenditures if savings in higher-cost institutional care (such as skilled nursing facility stays) offset potential cost increases in lower-cost home health expenditures.
Time frame: 5 years
Measured in dollars per beneficiary per month. Fewer acute hospitalizations may result in lower inpatient expenditures, contributing to lower total Medicare FFS expenditures.
Mathematica Policy Research, Inc.
Other
Acronym: PCF
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