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Examine the impact of changes in factors of the payment formula over the past three years in the inpatient rehabilitation facility prospective payment system (IRF

Examine the impact of changes in factors of the payment formula over the past three years in

the inpatient rehabilitation facility prospective payment system (IRF PPS).

a. Complete the table that follows for Allen County, Lima Ohio

i. Obtain the core-based statistical area (CBSA) for your area, the wage index for your CBSA, the standard payment conversion factor, and the labor portion for two years ago, one year ago, and the current year from the appropriate volumes of the Federal Register.

ii. Calculate the unadjusted change in the standard payment conversion factor.

iii. Calculate the change in the wage index.

iv. Calculate the impact of the unadjusted change in the standard conversion factor per case.

v. Calculate the impact of the changes in the wage index, labor portion, and the standard payment conversion factor for 1 year ago and the current year per case.

vi. Calculate, for an IRF with 370 discharges annually, the impact of the changes in the wage index, labor portion, and the standard payment conversion factor for 1 year ago and the current year.

2 Years Ago

1 Year Ago

Current Year

Year

Core-based Statistical Area (CBSA) of your area

217,454

Wage Index (Example is CBSA 24780 for Greenville NC)

Standard Payment Conversion Factor

Labor Portion (estimated varies each year, but approx. 0.75000 per year)

Unadjusted Change in Standard Payment Conversion Factor (+ or -)

Impact of Unadjusted Change in Standard Payment Conversion Factor (+ or -) Per Case

Impact of Change in Standard Payment Conversion Factor Multiplied by No. of Discharges Annually (Ex: 370)

Change in Wage Index (+ or -)

Impact of Change in Wage Index (+ or -), Labor Portion (+ or -), and Standard Payment Conversion Factor (+ or -) Per Case

Impact of Change in Wage Index (+ or -), Labor Portion (+ or -), and Standard Payment Conversion Factor (+ or -) Multiplied by No. of Discharges Annually (Ex: 370)

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