Evaluating the Planned Substitution of the Minimum Data Set-Post Acute Care for Use in the Rehabilitation Hospital Prospective Payment System

OBJECTIVE: The objective of this study was to evaluate the payment implications of substituting the Minimum Data Set-Post Acute Care (MDS-PAC) for the FIM trade mark instrument for use in the planned prospective payment system (PPS) for inpatient rehabilitation hospitals. FIM trade mark is a trademark of the Uniform Data System for Medical Rehabilitation, a division of UB Foundation Activites, Inc. RESEARCH DESIGN: We used a prospective cross-sectional design using consecutive sampling. SUBJECTS: We studied all Medicare admissions with stays of 3 days or more over a 2-month period to 50 inpatient rehabilitation hospitals in 22 states. MEASUREMENTS AND METHODS: Each participating institution completed both the FIM and the MDS-PAC assessments on all participants. Items from the MDS-PAC were combined and translated to create "FIM-like" items. We assessed agreement of classification into prospective payment cells using FIM assessment data and also using MDS-PAC data. Statistical adjustments were applied to improve the level of agreement. RESULTS: The mean differences between the FIM motor and cognitive scales and their MDS-PAC translations were 2.4 (mean = 45) and 0.0 (mean = 28), respectively, with scale correlations of.85 and.84. Weighted kappas on individual items ranged from.32 to.64. There were substantial hospital-specific differences in scoring. Payment cell classification using FIM data agreed with that using MDS-PAC data only 56% of the time. Twenty percent of the facilities experienced revenue shifts larger than 10%. CONCLUSION: Despite better item-level agreement than previously observed, poor payment cell agreement and substantial revenue shifts indicated that the MDS-PAC should not be substituted for the FIM trade mark instrument in the rehabilitation hospital PPS

Acute care · Health care · Minimum Data Set · Payment · Physical therapy · Prospective payment system · Set (abstract data type) · Substitution (logic) · Computer Science · Frailty in Older Adults · Geriatric Care and Nursing Homes · Healthcare Policy and Management · Medicine · Nursing · Rehabilitation

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