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Copyright 1999 Federal Document Clearing House, Inc.  
Federal Document Clearing House Congressional Testimony

June 09, 1999

SECTION: CAPITOL HILL HEARING TESTIMONY

LENGTH: 3077 words

HEADLINE: TESTIMONY June 09, 1999 PETER SMITH CEO RALIN MEDICAL, INC. SENATE FINANCE HEALTH CARE OVERSIGHT OF RISK ADJUSTMENT METHODOLOGY AND OTHER IMPLEMENTATION ISSUES

BODY:
Testimony of Peter Smith CEO Ralin Medical, Inc. Before The Senate Finance Committee June 9, 1999 Let me start by thanking the Senate Finance Committee for inviting me to testify on "Organizations Advancing Quality in Managed Care". A lot of positive change has occurred in the past few years and we are proud to be a part of the progress being made. Background and Introduction Our company, Ralin Medical, Inc. acquired Cardiac Solutions in 1994 and through this division began pioneering the development of disease management. Our program emphasizes the relationship between our nurse specialist, the patient and the patient s referring physician. We identify patients who have a primary diagnosis of congestive heart failure (CHF), coronary artery disease (CAD), chronic obstructive pulmonary disease (COPD) and diabetes. Together these diseases account for about 8% of the population who in turn account for about 40% of all Medicare expenses. Our disease management system called Multifit™ was developed at Stanford. It is primarily a telephonic program in which our nurse interacts with the patient and the patient s physician to "extend what the physician can do" between office visits to manage pharmaceutical compliance, diet and lifestyle. This is accomplished though contact with the patient and the physician, mostly over the telephone, utilizing various well- tested tools developed and validated by Stanford. We do retain the capability to do home encounters with the patient based on our relationship with over 90 Home Health Agencies sub-contracted nationally. Our basic philosophy is to educate and motivate patients to be partners in their own disease management. We believe that an ongoing management and surveillance program with the patient is much more effective than the traditional response to acute episodes of care, which are costly and ineffective. The simple value proposition we offer is that a managed care plan can pay our fees with the result of better patient care, improved medical management, patient and physician satisfaction and enough cost savings to cover our fees and still more. The financial savings, mostly achieved through reduced hospitalizations, have definitely been achieved with improved clinical results at the same time. In a survey of approximately 5,000 Medicare risk CHF patients over a three-year period, we achieved: Reduction of hospital admissions by 62.5% versus historical benchmark Reduction of hospital days by 61.8% versus historical benchmark Reduction of total medical expenses by 52.0% versus historical benchmark Sodium intake decreased by 19.3% Number of patients at target dose of medication increased 54.9% Number of patients eligible for but not receiving appropriate medications decreased by 30.9% Functional status (DASI) increased by 10.1% 97% of patients satisfied by the overall quality of care and services provided by the program Similar results have been achieved in both CAD and COPD. Our outcomes are preliminary in diabetes, but again we expect similar results. We are achieving these outcomes while at the same time assisting plans in achieving their HEDIS, NCQA and QISMC standards. We are here today representing not only our own organization, but also 30 or more groups like us who have developed programs with managed care in disease management. In fact, a group called the Disease Management Association of America (DMAA) has been formed to help expand this early stage field. Our customer to this point has been anyone at risk for the health care dollar and who can decide to use a management system such as Multifit™. Managed care organizations fit that description and have aggregated a large number of Medicare-aged patients who are likely to need disease management services. As a result, since 1994 we have developed over 50 relationships with national, regional and local managed care plans. Our customers have been the early adopters of a significant change in the healthcare delivery system. Our program, described above, can be formatted in several different ways financially. Most often, we are at risk to improve historical financial results plus clinical, quality of life and patient satisfaction results. Over the past five years we have developed a strong data collection and outcomes reporting capability to validate our programs to our customers. Medicare+Choice Risk Adjustment We are here today to express our basic agreement with the risk adjustment methodology as developed and presented by HCFA. The intention to reimburse more for sicker and costlier patients seems most appropriate. Our concern however is that the proposed approach may have an unintended, negative impact on programs that would both promote better health and reduce costs to the system. The goals of our effort are to describe our concern with one part of the currently proposed methodology and to propose a solution, which we believe, would prevent that consequence from occurring. The Concern An unintended consequence likely to result from the proposed risk adjustment methodology is that it would financially penalize Medicare+Choice organizations that have invested in and successfully implemented certain health management programs. Specifically, this would be true for health promotion programs that improve patient quality of life and clinical status while reducing hospitalizations. This unintended negative impact would manifest itself in two ways. First, plans that have been leaders and innovators in the development of health promotion programs for the Medicare+Choice population would be penalized during the initial risk adjustment process. They would exhibit a low number of hospitalizations relative to the health status of their patient populations. These plans have invested in focused patient education and behavioral modification programs to improve clinical status and quality of life for their members while at the same time reducing hospitalizations. Under the current methodology, the initial indexing of their populations into PIP-DCG categories would penalize these plans and their health management partners for their existing innovative programs. Second, going forward, plans would have a financial disincentive to developing or maintaining such health-promoting programs. Given that there are costs associated with the development, implementation and maintenance of these programs, Medicare+Choice organizations would be less inclined to bear those costs, knowing that program savings would be offset or even dwarfed by reduced reimbursement. In summary, the unintended consequence of the risk adjustment methodology would be to stifle the development of programs and initiatives which have been shown to be beneficial to patients and to contain medical costs through health promotion, disease prevention, and reduction in hospitalizations. Numerical Illustration of the Concern To analyze this issue in greater detail, Ralin Medical commissioned a study, performed by Integrated Healthcare Information Services, Inc. (IHIS). The Team Leader of the project was Daniel Dunn, Ph.D. Dr. Dunn spent 13 years as a health economist at Harvard University where he worked closely with HCFA as the Technical Director of the RBRVS Research Project. In addition, Dr. Dunn spent three years evaluating various health risk assessment methodologies, including the PIP-DCG methodology, and authored a study on the topic for the U.S. Society of Actuaries. Using DxCG, Inc. software for PIP-DCG grouping based on current Medicare methodology, IHIS analyzed claims data of 1,015 Medicare-aged patients. These patients were selected based on two criteria. First, during a designated 12-month period, they experienced a hospitalization for congestive heart failure (CHF) which, under the currently proposed PIP-DCG methodology, would qualify as a CHF admission. Second, throughout the duration of the subsequent 12-month period, they were enrolled in Ralin s CHF Disease Management Program. The study revealed that during the full year of disease management program enrollment, only 29% of these patients experienced a PIP-DCG-qualifying admission and only 16% of them had a PIP-DCG assignment in the CHF grouping (PIP-DCG 16/CHF) or a higher grouping. In contrast, data provided by Ralin s customers and supported by independent academic studies, indicate that the same population left "unmanaged" would typically exhibit a re-hospitalization rate well above 50%, most of which would fall into the PIP-DCG 16/CHF or higher PIP-DCG groupings. Further analysis by Ralin reveals that the medical claims dollars saved by the health plan (net of program administrative costs) via the implementation of a health promotion program for these 1,015 patients would be outweighed by the reduction in premiums received the following year under the currently proposed PIP-DCG grouping methodology. That is, the cost savings created through health promotion would be more than offset by the reduction in risk-adjusted payments that would result from fewer patients being hospitalized. To illustrate this point using the current example, assuming a program impact of a 40% reduction in total medical claims costs for these 1,015 patients minus the typical program fees, medical claims costs (net of program fees) for this population decline by roughly $3.7 million. Meanwhile, reimbursement the following year under the PIP-DCG model declines, due to the reduced hospitalizations, by roughly $4.1 million. Thus, financially speaking, the payor would have fared better by not investing in the health-promoting program. In other words, the unintended negative impact of the proposed risk adjustment methodology would be a disincentive for payors to invest in programs that have been proven to benefit patients by promoting better health while also reducing hospitalizations. It should also be noted that, for the 1,015 patients studied, in addition to the dramatic reductions in hospitalizations cited above, clinical outcomes, functional status, and patient satisfaction indicators all exhibited extremely positive program results, as shown below: Sodium intake for patients decreased by 19.3%. The number of patients at target doses of medication increased by 54.9%. The number of patients eligible for but not receiving appropriate medications decreased by 30.9%. Functional status, as measured by the Duke Activity Status Index (an indicator of patients quality of life), increased by 10.1% - - particularly impressive, given that CHF is a progressive, degenerative condition. 97% of patients were satisfied by the overall quality of care and services provided through the program. These data clearly indicate that such programs serve to benefit patients by promoting better health while also reducing hospitalizations. In addition to PIP-DCGs, IHIS employed the Hierarchical Condition Categories (HCC) DCG model in order to estimate the relative risk of the same population of 1,015 patients using both inpatient and outpatient data. The goal of doing so was to determine whether HCFA s ultimate evolution to such a model would eliminate the unintended negative consequence related to the current PIP-DCG model. The IHIS study showed that while the health risk estimate for this population did increase using the HCC-DCG model, it only increased by 18%. With this increase, the reduction in HCFA reimbursement versus not implementing the health promotion program becomes roughly $3 million (compared to the $4.1 million under PIP-DCG methodology, as cited above). Ralin s experience with payors indicates that this change would still result in an unintended disincentive for payors to invest in proven health- promoting programs, since the return on the large investment for the program remains quite low. While we recognize that the changes to risk adjusted payment will occur gradually once the legislation becomes effective (i.e., via the proposed phased-in approach), we are concerned that as the phase-in occurs, the magnitude of the unintended negative consequence described herein increases. While methodology changes certainly could be made downstream during that phase-in period, we fear that once the program is initially implemented, it will become more difficult to change. The ideal time to try different methodologies, even if on a limited basis, would be now, prior to the phased-in implementation of the new program. Overview of Proposed Solution In order to encourage the implementation of favorable health promotion programs within the risk adjustment methodology, HCFA s challenge will be to align incentives accordingly. One possible approach would be for HCFA to identify patients enrolled in such programs and compensate the patients Medicare+Choice organization for investing in the program. This creates two challenges. First, HCFA would need to define a set of standards to determine what constitutes a HCFA-endorsed health promotion program. Second, HCFA would need to develop the appropriate methodology to determine risk-adjusted payment for patients appropriately enrolled in such programs. To meet the first challenge, HCFA need look no further than its own regulatory approach to supporting disease management. Over the past several years, HCFA has been promoting program standards through QISMC. The QISMC quality assurance regulations, guidelines, and other like measures could be used as a base of reference by HCFA to define specific acceptable program standards to be met by Medicare+Choice organizations for patient care. These standards are outlined in Sections 1.3 and 1.4 of Domain 1: Quality Assessment and Performance Improvement Program. Assistance could be solicited from the Disease Management Association of America (DMAA), the largest disease management and health promotion industry association, to define standards for HCFA endorsement of a plan s health promotion program using QISMC as a reference point. This could be done on a fast track basis to meet HCFA s implementation timetable of January 2000. Under this approach, if a patient is in a plan that meets HCFA s program standards for a specific PIP-DCG into which the patient is indexed, then as long as the plan continues to meet standards the patient could remain in the PIP-DCG category regardless of hospitalizations. Alternatively, HCFA could apply some modest reduction to the reimbursement of the non-hospitalized patients in that PIP-DCG category, so as to allow it to share in the medical cost savings created. Conversely, if the plan s program at any time fails to maintain HCFA program standards for the involved PIP-DCG category, the patient s reimbursement would be reduced to baseline until the plan again meets the standards. The above mentioned approach would therefore differentiate between innovative plans providing health promotion programs and organizations that have not yet made such an investment. Finally, at the time of initial PIP-DCG indexing, Medicare+Choice organizations should have the opportunity to submit evidence of patients previously and appropriately enrolled in a health promotion plan meeting HCFA standards. Such evidence, once approved, would render those patients eligible for the higher level PIP-DCG reimbursements as described above, thereby avoiding penalties for the innovative organizations that have already made investments in improving patient health. As noted earlier, there might be great benefits to HCFA in implementing such changes, even if only on a limited basis, prior to the beginning of the phased-in program rollout. One suggestion is that HCFA might consider initially implementing this solution on a "pilot basis" in the CHF population. CHF is the leading cause of hospitalizations in the Medicare population, and, as illustrated herein, is clearly a condition for which there is much opportunity via health-promoting programs to positively impact both patient health and medical costs. Such an approach would simplify implementation by limiting it to a single PIP-DCG category and could be expanded upon over time to other relevant PIP-DCGs once deemed successful. Regulatory Decisions on Risk Adjustments Hinder or Promote Quality Throughout most of the 1990 s managed care companies have been successful at reducing the alarming rate of growth in health care costs that occurred in the prior decade. This trend which now appears to be reversing its course, seems to have been attributed largely to a focus by payors on negotiating better unit costs. With that opportunity seemingly tapped, a key part of the next generation of managed care is likely to be a focus on utilization and quality of care via the implementation of health promotion programs such as the disease management efforts outlined above. This positive trend has already taken hold and can be enhanced by the appropriate implementation of risk adjustment methodology. On the other hand, failure to address possible disincentives in the currently proposed methodology will likely have the unintended and most unfortunate impact of reversing a positive trend already underway. It is important to note that several other publically based health programs have embraced our programs such as the FEHBP which has started a program with us for CHF and diabetes in the Maryland/DC area, the United Mine Workers Retirement Fund working with us on CHF in several of their regions and the Department of Defense currently rolling out a CHF program with us and the University of Texas Health Science Center in San Antonio. These projects are validations of the basic disease management concept involving Medicare-aged populations outside of the managed care areas. It should not go unsaid that we also believe disease management should be a part of the Medicare Fee-for-Service program administered by HCFA. Last September, after three years of discussion with HCFA, we submitted a proposal on a demonstration project for CHF in the Fee-for-Service arena. We are hoping for positive action on that proposal which addresses HCFA s number one quality and cost disease issue. In summary, I would like again to thank the Committee for soliciting our views primarily on the Risk Adjustment Methodology, but also on the whole issue of disease management in the Medicare population. I hope our information, analysis and proposals prove helpful as Congress and HCFA decide upon these important changes.

LOAD-DATE: June 9, 1999




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