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Industry: Email Alert RSS FeedImproving Health-Based Payment for Medicaid Beneficiaries: CDPS - Chronic Illness and Disability Payment System
Health Care Financing Review, Spring, 2000 by Richard Kronick, Todd Gilmer, Tony Dreyfus, Lora Lee
INTRODUCTION
In previous work, we argued that health-based payment for Medicaid beneficiaries with disabilities is both important and feasible (Kronick, Zhou, and Dreyfus, 1995; Kronick et al., 1996). Among people with disabilities, health expenditures are strongly related to recent diagnoses, and health plans are well aware that attracting too many people with costly problems can lead to large financial losses. If a State Medicaid program does not pay more to health plans whose members have above-average levels of need, it will penalize plans attractive to people with greater needs and jeopardize quality of care. The greater predictability of expenditures among people with disabilities compared with a general population both increases the importance of health-based payment and makes it easier to do well. The strong relationship between diagnoses and future expenditures allows Medicaid programs to use diagnoses to make good predictions of health care needs.
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We can now report that Medicaid programs have been leaders in the implementation of health-based payment (Table 1). Using diagnoses from both ambulatory and inpatient encounters, Maryland implemented risk adjustment in May 1997, Colorado in July 1997, Oregon in June 1998, and Delaware in January 2000. Using inpatient data only, Utah implemented a limited version of health-based payment in June 1998. Utah is planning on expanding to full diagnostic risk adjustment if the encounter data supplied by health maintenance organizations (HMOs) are of sufficient quality. Minnesota implemented health-based payment in January of 2000, adjusting 5 percent of the capitation based on diagnostic case mix, with the remaining 95 percent based on traditional demographic rate cells. Michigan is using diagnostic adjustment as part of its competitive procurement process; Michigan divides a plan's bid by that plan's case mix in order to compare bids against each other on an equitable basis. New Jersey has announced its intentions to implement risk-adjusted payments in 2000 and has done substantial work in preparation for implementation. Other State Medicaid programs, including Massachusetts, New York, and Pennsylvania, are seriously evaluating health-based payment options.
Table 1
Medicaid Health-Based Payment Activity
Population Date
State Covered Implemented
Implemented
Maryland SSI + TANF 5/97
Colorado SSI + TANF 7/97
Oregon SSI 6/98
Utah SSI 6/98
Minnesota(1) TANF 1/00
Delaware SSI + TANF (2)1/00
Michigan SSI 6/00
Planned
New Jersey SSI 2000
Delaware SSI 2000
Washington TANF 2001
Utah(3) SSI 2001
Classification Data
State System Source
Implemented
Maryland ACGs Prior FFS Claims
Colorado DPS HMO Encounter Data
Oregon DPS HMO Encounter Data
Utah Marker Diagnosis Inpatient Only Encounters
Minnesota(1) ACGs HMO Encounter Data
Delaware CDPS HMO Encounter Data
Michigan CDPS HMO Encounter Data
Planned
New Jersey DPS Prior FFS
Delaware CDPS HMO Encounter Data
Washington CDPS HMO Encounter Data
Utah(3) CDPS HMO Encounter Data
(1) Affects 5 percent of total capitation.
(2) TANF on 7/00.
(3) Dependent upon quality of encounter data.
NOTES: SSI is Supplemental Security Income. TANF is Temporary Assistance to Needy Families. ACGs is Adjusted Clinical Groups. FFS is fee-for-service. DPS is Disability Payment System. HMO is health maintenance organization. CDPS is Chronic Illness and Disability Payment System.
SOURCE: Kronick, R., et al., San Diego, California, 2000.
Medicaid programs are much more active than private employers in implementing health-based payment, and some are ahead of the Medicare program. HCFA began phasing in risk-adjusted payments to Medicare in January 2000, using only inpatient diagnoses, while most Medicaid programs implementing health-based payment are using or planning to use diagnoses from both ambulatory and inpatient encounters.
Concerns about health care for beneficiaries with disability account for much of the impetus for Medicaid health-based payment, although some States have extended health-based payment to beneficiaries of Temporary Assistance to Needy Families (TANF) as well. As health-based payment in Medicaid is implemented more widely, we expect increased interest in its use for TANF beneficiaries. Yet relatively little information is available about the burden of disease among TANF beneficiaries, nor has much analysis been presented of the ability of diagnostic classification systems to do a good job of fairly compensating HMOs for this population (Weiner et al., 1998). In this article, we:
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