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Identify patient-focused episodes using a clinical model that categorizes episodes of care to reflect a patient’s total burden of illness, not merely the presence of a single diagnosis.
The 3M™ Patient-focused Episodes (PFE) Software generates extensive risk adjustment using widely adopted methodologies for inpatient hospital care, ambulatory care and baseline health status.
3M PFEs identify the healthcare data that can help an organization gain insights into reducing costs and improving outcomes.
In contrast to approaches that define episodes by disease with minimal recognition of the complex interplay of comorbidities, 3M PFEs are patient-centered. An episode includes all costs of caring for the patient during the episode. This is important because patients with comorbidities account for most health care spending.
To reflect the clinical reality that resource needs vary widely depending on comorbidities, 3M PFEs include extensive risk adjustment using widely adopted and well vetted methodologies such as the 3M™ All Patient Refined Diagnosis Related Groups (3M APR DRGs) for inpatient hospital care, the 3M™ Enhanced Ambulatory Patient Groups (EAPGs) for ambulatory care, and the 3M™ Clinical Risk Groups (CRGs) for baseline health status.
In Version 2.0, the 3M PFE methodology includes 330 event-based episodes covering a full range of medical and procedural encounters in both the inpatient and ambulatory settings. In addition, 123 cohort episodes cover a wide range of chronic conditions and pregnancy-related care.
3M PFEs were designed not only for analysis but also as the unit of payment. 3M PFE users have wide latitude to define the length of the episode window, included and excluded services, and how special situations such as outliers and truncated episodes are handled. Because 3M PFEs are a clinical, categorical model, clinicians and analysts can drill into the data to gain insights on how to reduce cost and improve outcomes.
All about 3M PFEs
The 3M PFE Software uses a categorical, clinical model to classify patients into mutually exclusive categories, creating a uniform clinical language that can help identify at-risk patients, cost and inefficiencies.
3M PFEs are most attractive to organizations interested in improving system-wide health care performance, provider profiling and payment reform. Examples include large integrated delivery systems, payers, accountable care organizations, government agencies, employers and research groups.
The 3M PFE Software is designed both for analysis and for creating a bundled, incentive-based payment method. Because the 3M PFE-based payment method includes risk adjustment, it can reward provider collaboration and efficiency without requiring providers to accept insurance risk for the incidence of illness and injury. Many payers, led by Medicare, look to episodes and other alternative payment methods to reduce waste, increase coordination and improve outcomes.
Here are a few examples of the value 3M PFEs can bring to customers:
3M PFE classification logic is the same for every licensee, although different organizations may use different configurations. At this time, 3M does not offer software that replicates the PFE analysis used by specific organizations. See the list of reimbursement calculation software available for 3M patient classification methodologies.
3M PFEs are available in the following 3M products:
Available to licensees on the 3M customer support website:
3M experts are available to advise health plans, government agencies, providers and other organizations on how to obtain maximum value from the 3M PFEs. Because 3M PFEs are a powerful and complex methodology, consulting services are recommended to first-time users for initial implementation, evaluation, analysis and interpretation of results.
3M consultants can also help payers and other organizations measure performance and identify material variation across health plans, providers and other patient populations; design pay-for-outcomes incentive methods; facilitate learning collaboratives; and provide advice on documentation and coding.
All data required to assign a 3M PFE are routinely collected from institutional and professional claims, including the UB-04 and CMS-1500 paper forms and their corresponding X12N 837 electronic formats. Pharmacy data in NCPDP format are optional but recommended. Consistent, unique patient identifiers are essential. These requirements are the same as those for the 3M CRGs.
3M PFE analysis typically involves creation of a static data set comprising at least one full year of data. Two years of data allow a full year of data to establish baseline health status by 3M CRG before a one-year episode analysis window. Some users perform rolling analyses each month or each quarter. The 3M PFEs do not need to be built into a claim-processing system.
In the 1980s and 1990s, the success of the Centers for Medicare & Medicaid Services (CMS) Diagnosis Related Groups (DRGs) for hospital inpatient care prompted widespread interest in developing similar models for other applications. Since CMS DRGs define an episode as a single hospital stay, the obvious extension was to define broader episodes. For example, an episode might also include the cost of physician services and post-acute services such as rehabilitation.
3M Health Information Systems, as the contractor to CMS for Medicare DRGs, was well-positioned to develop such models. Under contract to CMS and the Medicare Payment Advisory Commission (MedPAC), 3M prepared analyses of episodes built around Medicare DRGs that were published in 2013 in the Medicare and Medicaid Research Review¹ and in a MedPAC Report to Congress.²
In parallel to its work developing episodes around Medicare DRGs, 3M also developed the more comprehensive, proprietary 3M™ Patient-focused Episode (PFE) Software. 3M Patient-focused Episodes (PFEs) are appropriate for all populations, include both inpatient and ambulatory care and incorporate risk adjustment for baseline health status.
These six principles guided 3M PFE design:
For profiling comparisons or establishing payment levels, an episode methodology must calculate both actual and expected resource use by episode. In setting up a 3M PFE analysis, users have broad flexibility in defining the time windows for episode identification and the 3M Clinical Risk Group (CRG) assignment; determining which services are included and excluded; defining the readmission logic; and handling outliers and truncated episodes.
3M PFE software performs three functions:
Analysts can use the 3M PFE results to compare resource utilization and spending across plans, providers or other populations. Consider a health plan with average spending of $40,000 per capita for patients in 3M PFE 1622 Aortic Valve Procedures with baseline health status ACRG 72 (diseases in three or more organ systems, severity 2). If the benchmark spending figure for PFE 1622/ACRG 72 is $50,000 per capita, then actual spending is 20 percent less than expected. Note how the use of ACRGs reflects the clinical reality that patients undergoing the same treatment can and do vary widely in their total resource use. A group of sicker patients in PFE 1622/ACRG 74 (i.e., severity 4) would typically have higher expected spending (e.g., $60,000 per capita). 3M PFEs enable fair comparisons of spending and resource utilization.
After analysis, an obvious next step is to establish a payment method based on 3M PFEs; for example, a payment method can have prospective rates of $50,000 per capita for 3M PFE 1622/ACRG 72 and $60,000 per capita for 3M PFE 1622/ACRG 74. The 3M PFE methodology facilitates design of a prospective payment method by defining bundled services, calculating relative weights and identifying outliers.
The 3M PFE clinical logic is maintained by a team of clinicians, data analysts, clinical analysts, programmers and economists. The logic is proprietary to 3M but is available for licensees to view in the online 3M PFE Definitions Manual. The methodology is updated annually to reflect changes in the standard diagnosis and procedure code sets and is regularly enhanced to improve the clinical logic.
Examples of 3M PFEs
¹Vertrees J, Averill R, Eisenhandler, J, Quain, A, Switalski J. Bundling Post-Acute Care Services into MS-DRG Payments. Medicare Medicaid Res Rev. 2013;3(3):E1-E19
²Medicare Payment Advisory Commission. Approaches to bundling payment for post-acute care. Chapter 3 in Report to the Congress: Medicare and the Health Care System. Washington, DC: MedPAC, June 2013.
Learn more about 3M PFEs
Please note that documents not published by 3M do not necessarily reflect 3M recommendations and have not been approved by 3M. These documents are listed here for the information of readers interested in the various ways that 3M patient classification methodologies have been applied. Also note that listing these references does not imply endorsement of 3M methodologies by individual authors, other organizations or government agencies.
This manual describes the 3M Patient-focused Preventables (PFPs), a clinically-based classification system that identifies acute care hospital readmissions that are potentially preventable, based on computerized, discharge abstract data.
This fact sheet describes the 3M Patient-focused Episodes Software and how this clinical model helps control costs and improve health outcomes by managing the entire episode of care, instead of sub-optimizing each step in the process.
This e-guide defines an episode of care – as well as concepts such as trigger events, windows, scope of service and sequence – in terms that are useful for designing bundled payment models.
This article describes how a patient-centered approach to defining episodes of care around a hospitalization can provide the payment basis for creating expanded service bundles that can incentivize providers to deliver more efficient care.
This article illustrates how bundled payments have the potential to improve care coordination and quality of services, rationalize service use, and lower potentially avoidable readmissions.
This article responds to the Prometheus proposal, an idea put forward for a better healthcare system. The article critiques the Prometheus proposal and provides an alternative road map for obtaining value through bundled payments for four basic types of health care encounters.