Medicare Program; Hospice Wage Index

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Federal RegisterOct 6, 2000
65 Fed. Reg. 60071 (Oct. 6, 2000)

AGENCY:

Health Care Financing Administration (HCFA), HHS.

ACTION:

Notice.

SUMMARY:

This notice announces the annual update to the hospice wage index as required by statute. This update is effective October 1, 2000 through September 30, 2001. The wage index is used to reflect local differences in wage levels. The hospice wage index methodology and values are based on recommendations of a negotiated rulemaking advisory committee and were originally published in the Federal Register on August 8, 1997.

EFFECTIVE DATE:

This notice is effective on October 1, 2000.

FOR FURTHER INFORMATION CONTACT:

Carol Blackford, (410) 786-5909.

SUPPLEMENTARY INFORMATION:

I. Background

A. Statute and Regulations

Hospice Care is an approach to treatment that recognizes that the impending death of an individual warrants a change in the focus from curative care to palliative care (relief of pain and other uncomfortable symptoms). The goal of hospice care is to help terminally ill individuals continue life with minimal disruption to normal activities while remaining primarily in the home environment. A hospice uses an interdisciplinary approach to deliver medical, social, psychological, emotional, and spiritual services through use of a broad spectrum of professional and other caregivers, with the goal of making the individual as physically and emotionally comfortable as possible. Counseling and respite services are available to the family of the hospice patient. Hospice programs consider both the patient and the family as a unit of care.

Section 1861(dd) of the Social Security Act (the Act) provides for coverage of hospice care for terminally ill Medicare beneficiaries who elect to receive care from a participating hospice. The statutory authority for payment to hospices participating in the Medicare program is contained in section 1814(i) of the Act.

Our existing regulations under 42 CFR part 418 (issued on December 16, 1983, effective for hospice services furnished on or after November 1, 1983) establish eligibility requirements and payment standards and procedures, define covered services, and delineate the conditions a hospice must meet to be approved for participation in the Medicare program. Subpart G of Part 418 provides for payment to hospices based on one of four prospectively determined rates for each day in which a qualified Medicare beneficiary is under the care of a hospice. The four rate categories are routine home care, continuous home care, inpatient respite care, and general inpatient care. Payment rates are established for each category.

The regulations at § 418.306(c), which require the rates to be adjusted by a wage index, were revised in the August 8, 1997 final rule (62 FR 42860). This rule implemented a new methodology for calculating the hospice wage index based on the recommendations of a negotiated rulemaking committee. The committee reached consensus on the methodology. We included the resulting committee statement, describing that consensus, as an appendix to the August 8, 1997 final rule (62 FR 42883). The provisions of the final hospice wage index rule are as follows:

  • The revised hospice wage index will be calculated using the most current available hospital wage data.
  • The revised hospice wage index was phased in over a 3-year transition period. For the first year of the transition period, October 1, 1997 through September 30, 1998, a blended index was calculated by adding two-thirds of the 1983 index value for an area to one-third of the revised wage index value for that area. During the second year of the transition period, October 1, 1998 through September 30, 1999, the calculation was similar, except that the blend was one-third of the 1983 index value and two-thirds of the revised wage index value for that area. We fully implemented the revised wage index during the third transition period, October 1, 1999 through September 30, 2000.
  • All hospice wage index values of 0.8 or greater are subject to a budget-neutrality adjustment to ensure that we do not pay more in the aggregate than we would have paid under the original wage index. The budget-neutrality adjustment is calculated by multiplying the hospice wage index for a given area by the budget-neutrality adjustment factor. The budget-neutrality adjustment is to be applied annually, both during and after the transition period.
  • All hospice wage index values below 0.8 receive the greater of the following adjustments: the wage index floor, a 15-percent increase, subject to a maximum wage index value of 0.8; or, the budget-neutrality adjustment.
  • The wage index is to be updated annually, in the Federal Register, based on the most current available hospital wage data. These data will include any changes to the definitions of Metropolitan Statistical Areas (MSA).

Section 4441(a) of the Balanced Budget Act of 1997 (BBA) amended section 1814(i)(1)(C)(ii) of the Act to establish updates to hospice rates for fiscal years (FYs) 1998 through 2002. Hospice rates were to be updated by a factor equal to the market basket index, minus 1 percentage point. However, section 131(a) of the Balanced Budget Refinement Act of 1999 (BBRA) changed the payment rates for FYs 2001 and 2002 by increasing the FY 2001 rate by 0.5 percent and the FY 2002 rate by 0.75 percent. Section 131(b) of the BBRA states that any additional payments made under section 131(a) of the BBRA shall not be included in updating the hospice rates after those 2 years.

B. Update to the Hospice Wage Index

This annual update is effective October 1, 2000 through September 30, 2001. In accordance with the agreement signed by the Health Care Financing Administration (HCFA) and all other members of the Hospice Wage Index Negotiated Rulemaking Committee, we are using the most current HCFA hospital data available, including any changes to the definitions of MSAs. The FY 2000 hospital wage index was the most current hospital wage data available when the FY 2001 wage index values were calculated. We used the pre-reclassified and pre-floor hospital area wage index data.

All wage index values are adjusted by a budget-neutrality factor of 1.065425 and are subject to the wage index floor adjustment, if applicable. We have completed all of the calculations described above and included them in the wage index values reflected in both Tables A and B below. A detailed description of the method used to compute the hospice wage index is contained in both the September 4, 1996 proposed rule (61 FR 46579) and the August 8, 1997 final rule (62 FR 42860).

After the publication of the FY 2000 hospice wage index updates, we received a number of questions about the methodology used to calculate the hospice wage indices. We would like to take this opportunity to further explain the methodology used in determining the hospice wage indices.

1. Metropolitan Statistical Areas

As explained in the September 4, 1996 hospice wage index proposed rule, each hospice=s labor market area would be established by the MSA definitions issued by the Office of Management and Budget (OMB) on December 28, 1992 based on the 1990 census, and updated periodically by OMB. Any changes to the MSA definitions would be effective annually and announced in the final rule updating the hospice wage index.

2. MSA Wage Index Values Lower Than Rural Values

As explained above, any area not included in an MSA is considered to be nonurban and receives the statewide rural rate. We are aware that in the past, a number of MSAs have had wage index values that were lower than their rural statewide value. This difference is due to variations in local wage data as compared to national wage data. The hospice wage index is computed by dividing the hourly wage rate for an MSA or nonurban area by a national hourly wage rate. Nonurban areas could receive a higher wage index value than urban areas in the same state if the hourly wage rate in the nonurban area increased at a greater rate.

C. Tables

Table A.—Hospice Wage Index for Urban Areas

MSA code No. Urban area (constituent counties or county equivalents) Wage index
0040 Abilene, TX 0.8715
Taylor, TX
0060 Aguadilla, PR 0.4386
Aguada, PR
Aguadilla, PR
Moca, PR
0080 Akron, OH 1.0829
Portage, OH
Summit, OH
0120 Albany, GA 1.1052
Dougherty, GA
Lee, GA
0160 Albany-Schenectady-Troy, NY 0.9328
Albany, NY
Montgomery, NY
Rensselaer, NY
Saratoga, NY
Schenectady, NY
Schoharie, NY
0200 Albuquerque, NM 0.9056
Bernalillo, NM
Sandoval, NM
Valencia, NM
0220 Alexandria, LA 0.8385
Rapides, LA
0240 Allentown-Bethlehem-Easton, PA 1.0897
Carbon, PA
Lehigh, PA
Northampton, PA
0280 Altoona, PA 0.9954
Blair, PA
0320 Amarillo, TX 0.8929
Potter, TX
Randall, TX
0380 Anchorage, AK 1.3701
Anchorage, AK
0440 Ann Arbor, MI 1.2235
Lenawee, MI
Livingston, MI
Washtenaw, MI
0450 Anniston, AL 0.9017
Calhoun, AL
0460 Appleton-Oshkosh-Neenah, WI 0.9496
Calumet, WI
Outagamie, WI
Winnebago, WI
0470 Arecibo, PR 0.5537
Arecibo, PR
Camuy, PR
Hatillo, PR
0480 Asheville, NC 0.9466
Buncombe, NC
Madison, NC
0500 Athens, GA 1.0340
Clarke, GA
Madison, GA
Oconee, GA
0520 Atlanta, GA 1.0709
Barrow, GA
Bartow, GA
Carroll, GA
Cherokee, GA
Clayton, GA
Cobb, GA
Coweta, GA
DeKalb, GA
Douglas, GA
Fayette, GA
Forsyth, GA
Fulton, GA
Gwinnett, GA
Henry, GA
Newton, GA
Paulding, GA
Pickens, GA
Rockdale, GA
Spalding, GA
Walton, GA
0560 Atlantic-Cape May, NJ 1.2051
Atlantic, NJ
Cape May, NJ
0580 Aubrn-Opelika, AL 0.8256
Lee, AL
0600 Augusta-Aiken, GA-SC 0.9603
Columbia, GA
McDuffie, GA
Richmond, GA
Aiken, SC
Edgefield, SC
0640 Austin-San Marcos, TX 0.9676
Bastrop, TX
Caldwell, TX
Hays, TX
Travis, TX
Williamson, TX
0680 Bakersfield, CA 1.0248
Kern, CA
0720 Baltimore, MD 1.0539
Anne Arundel, MD
Baltimore, MD
Baltimore City, MD
Carroll, MD
Harford, MD
Howard, MD
Queen Anne's, MD
0733 Bangor, ME 1.0239
Penobscot, ME
0743 Barnstable-Yarmouth, MA 1.4173
Barnstable, MA
0760 Baton Rouge, LA 0.9278
Ascension, LA
East Baton Rouge, LA
Livingston, LA
West Baton Rouge, LA
0840 Beaumont-Port Arthur, TX 0.9129
Hardin, TX
Jefferson, TX
Orange, TX
0860 Bellingham, WA 1.2141
Whatcom, WA
0870 Benton Harbor, MI 0.9011
Berrien, MI
0875 Bergen-Passaic, NJ 1.2816
Bergen, NJ
Passaic, NJ
0880 Billings, MT 1.0696
Yellowstone, MT
0920 Biloxi-Gulfport-Pascagoula, MS 0.8383
Hancock, MS
Harrison, MS
Jackson, MS
0960 Binghamton, NY 0.9324
Broome, NY
Tioga, NY
1000 Birmingham, AL 0.9584
Blount, AL
Jefferson, AL
St. Clair, AL
Shelby, AL
1010 Bismarck, ND 0.8267
 Burleigh, ND
Morton, ND
1020 Bloomington, IN 0.9155
Monroe, IN
1040 Bloomington-Normal, IL 0.9582
McLean, IL
1080 Boise City, ID 0.9654
Ada, ID
Canyon, ID
1123 Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH 1.2102
Bristol, MA
Essex, MA
Middlesex, MA
Norfolk, MA
Plymouth, MA
Suffolk, MA
Worcester, MA
Hillsborough, NH
Merrimack, NH
Rockingham, NH
Strafford, NH
1125 Boulder-Longmont, CO 1.0596
Boulder, CO
1145 Brazoria, TX 0.9074
Brazoria, TX
1150 Bremerton, WA 1.1733
Kitsap, WA
1240 Brownsville-Harlingen-San Benito, TX 0.9816
Cameron, TX
1260 Bryan-College Station, TX 0.9057
Brazos, TX
1280 Buffalo-Niagara Falls, NY 1.0233
Erie, NY
Niagara, NY
1303 Burlington, VT 1.1250
Chittenden, VT
Franklin, VT
Grand Isle, VT
1310 Caguas, PR 0.5245
Caguas, PR
Cayey, PR
Cidra, PR
Gurabo, PR
San Lorenzo, PR
1320 Canton-Massillon, OH 0.9346
Carroll, OH
Stark, OH
1350 Casper, WY 0.9802
Natrona, WY
1360 Cedar Rapids, IA 0.9609
Linn, IA
1400 Champaign-Urbana, IL 0.9764
Champaign, IL
1440 Charleston-North Charleston, SC 0.9577
Berkeley, SC
Charleston, SC
Dorchester, SC
1480 Charleston, WV 0.9691
Kanawha, WV
Putnam, WV
1520 Charlotte-Gastonia-Rock Hill, NC-SC 1.0051
Cabarrus, NC
Gaston, NC
Lincoln, NC
Mecklenburg, NC
Rowan, NC
Stanly, NC
Union, NC
York, SC
1540 Charlottesville, VA 1.1267
Albemarle, VA
Charlottesville City, VA
Fluvanna, VA
Greene, VA
1560 Chattanooga, TN-GA 1.0369
Catoosa, GA
Dade, GA
Walker, GA
Hamilton, TN
Marion, TN
1580 Cheyenne, WY 0.8711
Laramie, WY
1600 Chicago, IL 1.1585
Cook, IL
DeKalb, IL
Du Page, IL
Grundy, IL
Kane, IL
Kendall, IL
Lake, IL
McHenry, IL
Will, IL
1620 Chico-Paradise, CA 1.1071
Butte, CA
1640 Cincinnati, OH-KY-IN 1.0035
Brown, OH
Clermont, OH
Hamilton, OH
Warren, OH
Boone, KY
Campbell, KY
Gallatin, KY
Grant, KY
Kenton, KY
Pendleton, KY
Dearborn, IN
Ohio, IN
1660 Clarksville-Hopkinsville, TN-KY 0.8619
Christian, KY
Montgomery, TN
1680 Cleveland-Lorain-Elyria, OH 1.0323
Ashtabula, OH
Cuyahoga, OH
Geauga, OH
Lake, OH
Lorain, OH
Medina, OH
1720 Colorado Springs, CO 0.9821
El Paso, CO
1740 Columbia, MO 0.9488
Boone, MO
1760 Columbia, SC 0.9970
Lexington, SC
Richland, SC
1800 Columbus, GA-AL 0.9068
Chattahochee, GA
Harris, GA
Muscogee, GA
Russell, AL
1840 Columbus, OH 1.0556
Delaware, OH
Fairfield, OH
Franklin, OH
Licking, OH
Madison, OH
Pickaway, OH
1880 Corpus Christi, TX 0.9271
Nueces, TX
San Patricio, TX
1890 Corvallis, Oregon 1.1813
Benton, OR
1900 Cumberland, MD-WV 0.9378
Allegany, MD
Mineral, WV
1920 Dallas, TX 1.0236
Collin, TX
Dallas, TX
Denton, TX
Ellis, TX
Henderson, TX
Hunt, TX
Kaufman, TX
Rockwall, TX
1950 Danville, VA 0.9277
Danville City, VA
Pittsylvania, VA
1960 Davenport-Moline-Rock Island, IA-IL 1.0080
Scott, IA
Henry, IL
Rock Island, IL
2000 Dayton-Springfield, OH 0.9576
Clark, OH
Greene, OH
Miami, OH
Montgomery, OH
2020 Daytona Beach, FL 0.9248
Flagler, FL
Volusia, FL
2030 Decatur, AL 0.9248
Lawrence, AL
Morgan, AL
2040 Decatur, IL 0.8867
Macon, IL
2080 Denver, CO 1.0857
Adams, CO
Arapahoe, CO
Denver, CO
Douglas, CO
Jefferson, CO
2120 Des Moines, IA 0.9328
Dallas, IA
Polk, IA
Warren, IA
2160 Detroit, MI 1.1104
Lapeer, MI
Macomb, MI
Monroe, MI
Oakland, MI
St. Clair, MI
Wayne, MI
2180 Dothan, AL 0.8309
Dale, AL
Houston, AL
2190 Dover, DE 0.9947
Kent, DE
2200 Dubuque, IA 0.9079
Dubuque, IA
2240 Duluth-Superior, MN-WI 1.0831
St. Louis, MN
Douglas, WI
2281 Dutchess County, NY 1.1243
Dutchess, NY
2290 Eau Claire, WI 0.9544
Chippewa, WI
Eau Claire, WI
2320 El Paso, TX 0.9533
El Paso, TX
2330 Elkhart-Goshen, IN 0.9994
Elkhart, IN
2335 Elmira, NY 0.9092
Chemung, NY
2340 Enid, OK 0.8474
Garfield, OK
2360 Erie, PA 0.9614
Erie, PA
2400 Eugene-Springfield, OR 1.1298
Lane, OR
2440 Evansville-Henderson, IN-KY 0.8847
Posey, IN
Vanderburgh, IN
Warrick, IN
Henderson, KY
2520 Fargo-Moorhead, ND-MN 0.9185
Clay, MN
Cass, ND
2560 Fayetteville, NC 0.9051
Cumberland, NC
2580 Fayetteville-Springdale-Rogers, AR 0.8283
Benton, AR
Washington, AR
2620 Flagstaff, AZ-UT 1.1026
Coconino, AZ
Kane, UT
2640 Flint, MI 1.1742
Genesee, MI
2650 Florence, AL 0.8447
Colbert, AL
Lauderdale, AL
2655 Florence, SC 0.9183
Florence, SC
2670 Fort Collins-Loveland, CO 1.0977
Larimer, CO
2680 Ft. Lauderdale, FL 1.0839
Broward, FL
2700 Fort Myers-Cape Coral, FL 0.9537
Lee, FL
2710 Fort Pierce-Port St. Lucie, FL 1.0653
Martin, FL
St. Lucie, FL
2720 Fort Smith, AR-OK 0.8357
Crawford, AR
Sebastian, AR
Sequoyah, OK
2750 Fort Walton Beach, FL 0.9284
Okaloosa, FL
2760 Fort Wayne, IN 0.9692
Adams, IN
Allen, IN
De Kalb, IN
Huntington, IN
Wells, IN
Whitley, IN
2800 Fort Worth-Arlington, TX 1.0480
Hood, TX
Johnson, TX
Parker, TX
Tarrant, TX
2840 Fresno, CA 1.0935
Fresno, CA
Madera, CA
2880 Gadsden, AL 0.9258
Etowah, AL
2900 Gainesville, FL 1.0764
Alachua, FL
2920 Galveston-Texas City, TX 1.0370
Galveston, TX
2960 Gary, IN 1.0005
Lake, IN
Porter, IN
2975 Glens Falls, NY 0.9170
Warren, NY
Washington, NY
2980 Goldsboro, NC 0.8879
Wayne, NC
2985 Grand Forks, ND-MN 0.9693
Grand Forks, ND
Polk, MN
2995 Grand Junction, CO 0.9790
Mesa, CO
3000 Grand Rapids-Muskegon-Holland, MI 1.0799
Allegan, MI
Kent, MI
Muskegon, MI
Ottawa, MI
3040 Great Falls, MT 1.1144
Cascade, MT
3060 Greeley, CO 1.0359
Weld, CO
3080 Green Bay, WI 0.9731
Brown, WI
3120 Greensboro-Winston-Salem-High Point, NC 0.9629
Alamance, NC
Davidson, NC
Davie, NC
Forsyth, NC
Guilford, NC
Randolph, NC
Stokes, NC
Yadkin, NC
3150 Greenville, NC 1.0123
Pitt, NC
3160 Greenville-Spartanburg-Anderson, SC 0.9790
Anderson, SC
Cherokee, SC
Greenville, SC
Pickens, SC
Spartanburg, SC
3180 Hagerstown, MD 0.9422
Washington, MD
3200 Hamilton-Middletown, OH 0.9532
Butler, OH
3240 Harrisburg-Lebanon-Carlisle, PA 1.0567
Cumberland, PA
Dauphin, PA
Lebanon, PA
Perry, PA
3283 Hartford, CT 1.2483
Hartford, CT
Litchfield, CT
Middlesex, CT
Tolland, CT
3285 Hattiesburg, MS 0.8134
Forrest, MS
Lamar, MS
3290 Hickory-Morganton-Lenoir, NC 0.9709
Alexander, NC
Burke, NC
Caldwell, NC
Catawba, NC
3320 Honolulu, HI 1.2228
Honolulu, HI
3350 Houma, LA 0.8350
Lafourche, LA
Terrebonne, LA
3360 Houston, TX 1.0002
Chambers, TX
Fort Bend, TX
Harris, TX
Liberty, TX
Montgomery, TX
Waller, TX
3400 Huntington-Ashland, WV-KY-OH 1.0396
Boyd, KY
Carter, KY
Greenup, KY
Lawrence, OH
Cabell, WV
Wayne, WV
3440 Huntsville, AL 0.9400
Limestone, AL
Madison, AL
3480 Indianapolis, IN 1.0434
Boone, IN
Hamilton, IN
Hancock, IN
Hendricks, IN
Johnson, IN
Madison, IN
Marion, IN
Morgan, IN
Shelby, IN
3500 Iowa City, IA 1.0237
Johnson, IA
3520 Jackson, MI 0.9419
Jackson, MI
3560 Jackson, MS 0.8936
Hinds, MS
Madison, MS
Rankin, MS
3580 Jackson, TN 0.9164
Madison, TN
Chester, TN
3600 Jacksonville, FL 0.9544
Clay, FL
Duval, FL
Nassau, FL
St. Johns, FL
3605 Jacksonville, NC 0.8367
Onslow, NC
3610 Jamestown, NY 0.8372
Chautauqua, NY
3620 Janesville-Beloit, WI 1.0289
Rock, WI
3640 Jersey City, NJ 1.2440
Hudson, NJ
3660 Johnson City-Kingsport-Bristol, TN-VA 0.9433
Carter, TN
Hawkins, TN
Sullivan, TN
Unicoi, TN
Washington, TN
Bristol City, VA
Scott, VA
Washington, VA
3680 Johnstown, PA 0.9206
Cambria, PA
Somerset, PA
3700 Jonesboro, AR 0.8000
Craighead, AR
3710 Joplin, MO 0.8181
Jasper, MO
Newton, MO
3720 Kalamazoo-Battlecreek, MI 1.0635
Calhoun, MI
Kalamazoo, MI
Van Buren, MI
3740 Kankakee, IL 0.9162
Kankakee, IL
3760 Kansas City, KS-MO 0.9932
Johnson, KS
Leavenworth, KS
Miami, KS
Wyandotte, KS
Cass, MO
Clay, MO
Clinton, MO
Jackson, MO
Lafayette, MO
Platte, MO
Ray, MO
3800 Kenosha, WI 0.9625
Kenosha, WI
3810 Killeen-Temple, TX 1.0583
Bell, TX
Coryell, TX
3840 Knoxville, TN 0.9802
Anderson, TN
Blount, TN
Knox, TN
Loudon, TN
Sevier, TN
Union, TN
3850 Kokomo, IN 0.9503
Howard, IN
Tipton, IN
3870 La Crosse, WI-MN 0.9519
Houston, MN
La Crosse, WI
3880 Lafayette, LA 0.8886
Acadia, LA
Lafayette, LA
St. Landry, LA
St. Martin, LA
3920 Lafayette, IN 0.9386
Clinton, IN
Tippecanoe, IN
3960 Lake Charles, LA 0.8488
Calcasieu, LA
3980 Lakeland-Winter Haven, FL 0.9393
Polk, FL
4000 Lancaster, PA 0.9862
Lancaster, PA
4040 Lansing-East Lansing, MI 1.0631
Clinton, MI
Eaton, MI
Ingham, MI
4080 Laredo, TX 0.8868
Webb, TX
4100 Las Cruces, NM 0.9153
Dona Ana, NM
4120 Las Vegas, NV-AZ 1.1996
Mohave, AZ
Clarke, NV
Nye, NV
4150 Lawrence, KS 0.8761
Douglas, KS
4200 Lawton, OK 1.0157
Comanche, OK
4243 Lewiston-Auburn, ME 0.9482
Androscoggin, ME
4280 Lexington, KY 0.9090
Bourbon, KY
Clark, KY
Fayette, KY
Jessamine, KY
Madison, KY
Scott, KY
Woodford, KY
4320 Lima, OH 0.9489
Allen, OH
Auglaize, OH
4360 Lincoln, NE 1.0304
Lancaster, NE
4400 Little Rock-North Little Rock, AR 0.9179
Faulkner, AR
Lonoke, AR
Pulaski, AR
Saline, AR
4420 Longview-Marshall, TX 0.9311
Gregg, TX
Harrison, TX
Upshur, TX
4480 Los Angeles-Long Beach, CA 1.2841
Los Angeles, CA
4520 Louisville, KY-IN 0.9996
Clark, IN
Floyd, IN
Harrison, IN
Scott, IN
Bullitt, KY
Jefferson, KY
Oldham, KY
4600 Lubbock, TX 0.8962
Lubbock, TX
4640 Lynchburg, VA 0.9392
Amherst, VA
Bedford, VA
Bedford City, VA
Campbell, VA
Lynchburg City, VA
4680 Macon, GA 0.9089
Bibb, GA
Houston, GA
Jones, GA
Peach, GA
Twiggs, GA
4720 Madison, WI 1.0367
Dane, WI
4800 Mansfield, OH 0.9031
Crawford, OH
Richland, OH
4840 Mayaguez, PR 0.5376
Anasco, PR
Cabo Rojo, PR
Hormigueros, PR
Mayaguez, PR
Sabana Grande, PR
San German, PR
4880 McAllen-Edinburg-Mission, TX 0.8652
Hidalgo, TX
4890 Medford-Ashland, OR 1.1180
Jackson, OR
4900 Melbourne-Titusville-Palm Bay, FL 0.9905
Brevard, Fl
4920 Memphis, TN-AR-MS 0.8784
Crittenden, AR
DeSoto, MS
Fayette, TN
Shelby, TN
Tipton, TN
4940 Merced, CA 1.0950
Merced, CA
5000 Miami, FL 1.0904
Dade, FL
5015 Middlesex-Somerset-Hunterdon, NJ 1.1851
Hunterdon, NJ
Middlesex, NJ
Somerset, NJ
5080 Milwaukee-Waukesha, WI 1.0490
Milwaukee, WI
Ozaukee, WI
Washington, WI
Waukesha, WI
5120 Minneapolis-St. Paul, MN-WI 1.1645
Anoka, MN
Carver, MN
Chisago, MN Dakota, MN
Hennepin, MN
Isanti, MN
Ramsey, MN
Scott, MN
Sherbune, MN
Washington, MN
Wright, MN
Pierce, WI
St. Croix, WI
5140 Missoula, MT 0.9681
Missoula, MT
5160 Mobile, AL 0.8809
Baldwin, AL
Mobile, AL
5170 Modesto, CA 1.0774
Stanislaus, CA
5190 Monmouth-Ocean, NJ 1.1996
Monmouth, NJ
Ocean, NJ
5200 Monroe, LA 0.8760
Ouachita, LA
5240 Montgomery, AL 0.8208
Autauga, AL
Elmore, AL
Montgomery, AL
5280 Muncie, IN 1.1544
Delaware, IN
5330 Myrtle Beach, SC 0.9088
Horry, SC
5345 Naples, FL 1.0484
Collier, FL
5360 Nashville, TN 1.0068
Cheatham, TN
Davidson, TN
Dickson, TN
Robertson, TN
Rutherford TN
Sumner, TN
Williamson, TN
Wilson, TN
5380 Nassau-Suffolk, NY 1.4997
Nassau, NY
Suffolk, NY
5483 New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT 1.3166
Fairfield, CT
New Haven, CT
5523 New London-Norwich, CT 1.3242
New London, CT
5560 New Orleans, LA 0.9685
Jefferson, LA
Orleans, LA
Plaquemines, LA
St. Bernard, LA
St. Charles, LA
St. James, LA
St. John The Baptist, LA
St. Tammany, LA
5600 New York, NY 1.5469
Bronx, NY
Kings, NY
New York, NY
Putnam, NY
Queens, NY
Richmond, NY
Rockland, NY
Westchester, NY
5640 Newark, NJ 1.2409
Essex, NJ
Morris, NJ
Sussex, NJ
Union, NJ
Warren, NJ
5660 Newburgh, NY-PA 1.1624
Orange, NY
Pike, PA
5720 Norfolk-Virginia Beach-Newport News, VA-NC 0.8993
Currituck, NC
Chesapeake City, VA
Gloucester, VA
Hampton City, VA
James City, VA
Isle of Wight, VA
Mathews, VA
Newport News City, VA
Norfolk City, VA
Poquoson City, VA
Portsmouth City, VA
Suffolk City, VA
Virginia Beach City VA
Williamsburg City, VA
York, VA
5775 Oakland, CA 1.6044
Alameda, CA
Contra Costa, CA
5790 Ocala, FL 1.0245
Marion, FL
5800 Odessa-Midland, TX 0.9455
Ector, TX
Midland, TX
5880 Oklahoma City, OK 0.9150
Canadian, OK
Cleveland, OK
Logan, OK
McClain, OK
Oklahoma, OK
Pottawatomie, OK
5910 Olympia, WA 1.1648
Thurston, WA
5920 Omaha, NE-IA 1.1140
Pottawattamie, IA
Cass, NE
Douglas, NE
Sarpy, NE
Washington, NE
5945 Orange County, CA 1.2349
Orange, CA
5960 Orlando, FL 1.0437
Lake, FL
Orange, FL
Osceola, FL
Seminole, FL
5990 Owensboro, KY 0.8635
Daviess, KY
6015 Panama City, FL 0.9770
Bay, FL
6020 Parkersburg-Marietta, WV-OH 0.8896
Washington, OH
Wood, WV
6080 Pensacola, FL 0.8995
Escambia, FL
Santa Rosa, FL
6120 Peoria-Pekin, IL 0.8896
Peoria, IL
Tazewell, IL
Woodford, IL
6160 Philadelphia, PA-NJ 1.1891
Burlington, NJ
Camden, NJ
Gloucester, NJ
Salem, NJ
Bucks, PA
Chester, PA
Delaware, PA
Montgomery, PA
Philadelphia, PA
6200 Phoenix-Mesa, AZ 1.0084
Maricopa, AZ
Pinal, AZ
6240 Pine Bluff, AR 0.8202
Jefferson, AR
6280 Pittsburgh, PA 1.0265
Allegheny, PA
Beaver,PA
Butler, PA
Fayette, PA
Washington, PA
Westmoreland, PA
6323 Pittsfield, MA 1.0927
Berkshire, MA
6340 Pocatello, ID 0.9561
Bannock, ID
6360 Ponce, PR 0.5717
Guayanilla, PR
Juana Diaz, PR
Penuelas, PR
Ponce, PR
Villalba, PR
Yauco, PR
6403 Portland, ME 1.0096
Cumberland, ME
Sagadahoc, ME
York, ME
6440 Portland-Vancouver, OR-WA 1.1694
Clackamas, OR
Columbia, OR
Multnomah, OR
Washington, OR
Yamhill, OR
Clark, WA
6483 Providence-Warwick-Pawtucket, RI 1.1391
Bristol, RI
Kent, RI
Newport, RI
Providence, RI
Washington, RI
6520 Provo-Orem, UT 1.0461
Utah, UT
6560 Pueblo, CO 0.9433
Pueblo, CO
6580 Punta Gorda, FL 0.9509
Charlotte, FL
6600 Racine, WI 0.9820
Racine, WI
6640 Raleigh-Durham-Chapel Hill, NC 1.0170
Chatham, NC
Durham, NC
Franklin, NC
Johnston, NC
Orange, NC
Wake, NC
6660 Rapid City, SD 0.8911
Pennington, SD
6680 Reading, PA 1.0054
Berks, PA
6690 Redding, CA 1.2002
Shasta, CA
6720 Reno, NV 1.1353
Washoe, NV
6740 Richland-Kennewick-Pasco, WA 1.1959
Benton, WA
Franklin, WA
6760 Richmond-Petersburg, VA 1.0171
Charles City County, VA
Chesterfield, VA
Colonial Heights City, VA
Dinwiddie, VA
Goochland, VA
Hanover, VA
Henrico, VA
Hopewell City, VA
New Kent, VA
Petersburg City, VA
Powhatan, VA
Prince George, VA
Richmond City, VA
6780 Riverside-San Bernardino, CA 1.1945
Riverside, CA
San Bernardino, CA
6800 Roanoke, VA 0.8672
Botetourt, VA
Roanoke, VA
Roanoke City, VA
Salem City, VA
6820 Rochester, MN 1.2178
Olmsted, MN
6840 Rochester, NY 0.9786
Genesee, NY
Livingston, NY
Monroe, NY
Ontario, NY
Orleans, NY
Wayne, NY
6880 Rockford, IL 0.9359
Boone, IL
Ogle, IL
Winnebago, IL
6895 Rocky Mount, NC 0.9307
Edgecombe, NC
Nash, NC
6920 Sacramento, CA 1.3089
El Dorado, CA
Placer, CA
Sacramento, CA
6960 Saginaw-Bay City-Midland, MI 0.9895
Bay, MI
Midland, MI
Saginaw, MI
6980 St. Cloud, MN 1.0038
Benton, MN
Stearns, MN
7000 St. Joseph, MO 0.9529
Andrew, MO
Buchanan, MO
7040 St. Louis, MO-IL 0.9645
Franklin, MO
Jefferson, MO
Lincoln, MO
St. Charles, MO
St. Louis, MO
St. Louis City, MO
Warren, MO
Clinton, IL
Jersey, IL
Madison, IL
Monroe, IL
St. Clair, IL
7080 Salem, OR 1.0601
Marion, OR
Polk, OR
7120 Salinas, CA 1.5674
Monterey, CA
7160 Salt Lake City-Ogden, UT 1.0500
Davis, UT
Salt Lake, UT
Weber, UT
7200 San Angelo, TX 0.8359
Tom Green, TX
7240 San Antonio, TX 0.8862
Bexar, TX
Comal, TX
Guadalupe, TX
Wilson, TX
7320 San Diego, CA 1.2712
7360 San Francisco, CA 1.4918
Marin, CA
San Francisco, CA
San Mateo, CA
7400 San Jose, CA 1.4500
Santa Clara, CA
7440 San Juan-Bayamon, PR 0.5357
Aguas Buenas, PR
Barceloneta, PR
Bayamon, PR
Canovanas, PR
Carolina, PR
Catano, PR
Ceiba, PR
Comerio, PR
Corozal, PR
Dorado, PR
Fajardo, PR
Florida, PR
Guaynabo, PR
Humacao, PR
Juncos, PR
Los Piedras, PR
Loiza, PR
Luguillo, PR
Manati, PR
Morovis, PR
Naguabo, PR
Naranjito, PR
Rio Grande, PR
San Juan, PR
Toa Alta, PR
Toa Baja, PR
Trujillo Alto, PR
Vega Alta, PR
Vega Baja, PR
Yabucoa, PR
7460 San Luis Obispo-Atascadero-Paso Robles, CA 1.1156
San Luis Obispo, CA
7480 Santa Barbara-Santa Maria-Lompoc, CA 1.1528
Santa Barbara, CA
7485 Santa Cruz-Watsonville, CA 1.4840
Santa Cruz, CA
7490 Santa Fe, NM 1.1121
Los Alamos, NM
Santa Fe, NM
7500 Santa Rosa, CA 1.3852
Sonoma, CA
7510 Sarasota-Bradenton, FL 1.0554
Manatee, FL
Sarasota, FL
7520 Savannah, GA 1.0605
Bryan, GA
Chatham, GA
Effingham, GA
7560 Scranton—Wilkes-Barre—Hazleton, PA 0.8921
Columbia, PA
Lackawanna, PA
Luzerne, PA
Wyoming, PA
7600 Seattle-Bellevue-Everett, WA 1.2030
Island, WA
King, WA
Snohomish, WA
7610 Sharon, PA 0.8826
Mercer, PA
7620 Sheboygan, WI 0.8740
Sheboygan, WI
7640 Sherman-Denison, TX 0.9940
Grayson, TX
7680 Shreveport-Bossier City, LA 0.9642
Bossier, LA
Caddo, LA
Webster, LA
7720 Sioux City, IA-NE 0.9108
Woodbury, IA
Dakota, NE
7760 Sioux Falls, SD 0.9351
Lincoln, SD
Minnehaha, SD
7800 South Bend, IN 1.0435
St. Joseph, IN
7840 Spokane, WA 1.1507
Spokane, WA
7880 Springfield, IL 0.9252
Menard, IL
Sangamon, IL
7920 Springfield, MO 0.8515
Christian, MO
Greene, MO
Webster, MO
8003 Springfield, MA 1.1377
Hampden, MA
Hampshire, MA
8840 Washington, DC-MD-VA-WV 1.1778
District of Columbia, DC
Calvert, MD
Charles, MD
Frederick, MD
Montgomery, MD
Prince Georges, MD
Alexandria City, VA
Arlington, VA
Clarke, VA
Culpeper, VA
Fairfax, VA
Fairfax City, VA
Falls Church City, VA
Fauquier, VA
Fredericksburg City, VA
King George, VA
Loudoun, VA
Manassas City, VA
Manassas Park City, VA
Prince William, VA
Spotsylvania, VA
Stafford, VA
Warren, VA
Berkeley, WV
Jefferson, WV
8920 Waterloo-Cedar Falls, IA 0.9075
Black Hawk, IA
8940 Wausau, WI 1.0064
Marathon, WI
8960 West Palm Beach-Boca Raton, FL 1.0668
Palm Beach, FL
9000 Wheeling, WV-OH 0.8144
Belmont, OH
Marshall, WV
Ohio, WV
9040 Wichita, KS 1.0038
Butler, KS
Harvey, KS
Sedgwick, KS
9080 Wichita Falls, TX 0.8154
Archer, TX
Wichita, TX
8050 State College, PA 0.9737
Centre, PA
8080 Steubenville-Weirton, OH-WV 0.9179
Jefferson, OH
Brooke, WV
Hancock, WV
8120 Stockton-Lodi, CA 1.1207
San Joaquin, CA
8140 Sumter, SC 0.8778
Sumter, SC
8160 Syracuse, NY 1.1377
Cayuga, NY
Madison, NY
Onondaga, NY
Oswego, NY
8200 Tacoma, WA 1.2230
Pierce, WA
8240 Tallahassee, FL 0.9040
Gadsden, FL
Leon, FL
8280 Tampa-St. Petersburg-Clearwater, FL 0.9637
Hernando, FL
Hillsborough, FL
Pasco, FL
Pinellas, FL
8320 Terre Haute, IN 0.9132
Clay, IN
Vermillion, IN
Vigo, IN
8360 Texarkana, AR-Texarkana, TX 0.8668
Miller, AR
Bowie, TX
8400 Toledo, OH 1.0458
Fulton, OH
Lucas, OH
Wood, OH
8440 Topeka, KS 0.9937
Shawnee, KS
8480 Trenton, NJ 1.0764
Mercer, NJ
8520 Tucson, AZ 0.9315
Pima, AZ
8560 Tulsa, OK 0.8616
Creek, OK
Osage, OK
Rogers, OK
Tulsa, OK
Wagoner, OK
8600 Tuscaloosa, AL 0.8593
Tuscaloosa, AL
8640 Tyler, TX 0.9983
Smith
8680 Utica-Rome, NY 0.8842
Herkimer, NY
Oneida, NY
8720 Vallejo-Fairfield-Napa, CA 1.4220
Napa, CA
Solano, CA
8735 Ventura, CA 1.2206
8750 Victoria, TX 0.8927
8760 Vineland-Millville-Bridgeton, NJ 1.1206
Cumberland, NJ
8780 Visalia-Turlare-Porterville, CA 1.1093
Tulare, CA
8800 Waco, TX 0.8604
McLennan, TX
9140 Williamsport, PA 0.9003
Lycoming, PA
9160 Wilmington-Newark, DE-MD 1.2013
New Castle, DE
Cecil, MD
9200 Wilmington, NC 1.0343
Brunswick, NC
New Hanover, NC
9260 Yakima, WA 1.1009
Yakima, WA
9270 Yolo, CA 1.0356
Yolo, CA
9280 York, PA 0.9919
York, PA
9320 Youngstown-Warren, OH 1.0651
Columbiana, OH
Mahoning, OH
Trumbull, OH
9340 Yuba City, CA 1.1361
Sutter, CA
Yuba, CA
9360 Yuma, AZ 1.0574
Yuma, AZ
This column lists each MSA area name (in italics) and each county, or county equivalent, in the MSA area. Counties not listed in this Table are considered to be Rural Areas. Wage Index values for these areas are found in Table B.
Wage index values are based on FY 1996 hospital cost report data before reclassification. This wage index is further adjusted. Wage index values greater than 0.8 are subject to a budget-neutrality adjustment of 1.065425. Wage index values below 0.8 are adjusted to be the greater of a 15-percent increase, subject to a maximum wage index value of 0.8, or an adjustment by multiplying the hospital wage index value for a given area by the budget-neutrality adjustment. We have completed all of these adjustments and included them in the wage index values reflected in this table.

Table B.—Wage Index for Rural Areas

MSA code No. Nonurban area Wage index
9901 Alabama 0.8000
9902 Alaska 1.2847
9903 Arizona 0.9104
9904 Arkansas 0.8000
9905 California 1.0603
9906 Colorado 0.9391
9907 Connecticut 1.3226
9908 Delaware 0.9767
9910 Florida 0.9575
9911 Georgia 0.8625
9912 Hawaii 1.1430
9913 Idaho 0.9218
9914 Illinois 0.8575
9915 Indiana 0.8946
9916 Iowa 0.8446
9917 Kansas 0.8000
9918 Kentucky 0.8569
9919 Louisiana 0.8000
9920 Maine 0.9205
9921 Maryland 0.9197
9922 Massachusetts 1.2114
9923 Michigan 0.9392
9924 Minnesota 0.9237
9925 Mississippi 0.8000
9926 Missouri 0.8229
9927 Montana 0.8945
9928 Nebraska 0.8532
9929 Nevada 0.9693
9930 New Hampshire 1.0554
9931 New Jersey
9932 New Mexico 0.8927
9933 New York 0.9202
9934 North Carolina 0.8832
9935 North Dakota 0.8148
9936 Ohio 0.9216
9937 Oklahoma 0.8000
9938 Oregon 1.0514
9939 Pennsylvania 0.9083
9940 Puerto Rico 0.4886
9941 Rhode Island
9942 South Carolina 0.8805
9943 South Dakota 0.8073
9944 Tennessee 0.8152
9945 Texas 0.8000
9946 Utah 0.9490
9947 Vermont 1.0024
9948 Virgin Islands 0.7252
9949 Virginia 0.8421
9950 Washington 1.1131
9951 West Virginia 0.8597
9952 Wisconsin 0.9333
9953 Wyoming 0.9440
9965 Guam 1.0240
Wage index values are based on FY 1996 hospital cost report data before reclassification. This wage index is further adjusted. Wage index values greater than 0.8 are subject to a budget-neutrality adjustment of 1.065425. Wage index values below 0.8 are adjusted to be the greater of a 15-percent increase, subject to a maximum wage index value of 0.8, or an adjustment by multiplying the hospital wage index value for a given area by the budget-neutrality adjustment. We have completed all of these adjustments and have included them in the wage index values reflected in this table.
All counties within the State are classified as urban.

II. Regulatory Impact Statement

We have examined the impacts of this notice as required by Executive Order 12866, the Unfunded Mandate Reform Act, and the Regulatory Flexibility Act (RFA) (Pub. L. 96-354). In this notice, we identified an impact on hospices as a result of changes in the way we compute the hospice wage index. The change in the methodology for computing the wage index was determined through a negotiated rulemaking committee and implemented in the August 8, 1997 final rule (62 FR 42860). We recognize that the BBRA adjusted hospice payments upward by 0.5 percent; however, we did not do a separate analysis of the impact of this payment adjustment. We used the new rates adjusted by the BBRA when estimating the payments to be made under the new wage index and when calculating the budget-neutrality adjustment factor. Overall, we believe the changes included in this notice to be insignificant.

1. Executive Order 12866 and RFA

Executive Order 12866 directs agencies to assess all costs and benefits of available regulatory alternatives and, when regulation is necessary, to select regulatory approaches that maximize net benefits (including potential economic, environmental, public health and safety effects; distributive impacts; and equity). We have determined that this notice is not an economically significant rule under this Executive Order. The RFA requires agencies to analyze options for regulatory relief for small businesses. For purposes of the RFA, States and individuals are not considered small entities. However, most providers, physicians, and health care suppliers are small entities, either by nonprofit status or by having revenues of $5 million or less annually. Approximately 73 percent of Medicare certified hospices are identified as voluntary, government, or other agencies, and, therefore, are considered small entities. Because the National Hospice Organization estimates that approximately 70 percent of hospice patients are Medicare beneficiaries, we have not considered other sources of revenue in this analysis.

As discussed below, the estimated decreases in payment to hospices overall are very slight. The most significant change is an increase in estimated payments to rural areas in East and West South Central, at 4.8 and 9.1 percent, respectively. The effects of this notice on West South Central alone, indicate that 54 of the 85 hospices in urban West South Central can be considered small entities that will experience an 9.1-percent increase in Medicare payments. Therefore, we anticipate this notice will have a significant, albeit positive, impact on a substantial number of small entities. However, the methodology for the hospice wage index was previously determined by consensus through a negotiated rulemaking committee that included representatives of national hospice associations; rural, urban, large and small hospices; multi-site hospices; and consumer groups. Based on the options considered, the committee determined that the methodology described in the committee statement, and adopted into regulation in the August 8, 1997 final rule, was favorable for the hospice community as well as for beneficiaries. Therefore, we believe that mitigating any negative effects on small entities has been taken into consideration.

2. Congressional Review

Section 804(2) of Title 5, United States Code (U.S.C.) (as added by section 251 of Pub. L. 104-121), specifies that a “major rule” is any rule that the Office of Management and Budget finds is likely to result in—

  • An annual effect on the economy of $100 million or more;
  • A major increase in costs or prices for consumers, individual industries, Federal, State, or local government agencies, or geographic regions; or
  • Significant adverse effects on competition, employment, investment, productivity, innovation, or on the ability of United States-based enterprises to compete with foreign-based enterprises in domestic and export markets.

We estimate that the impact of this notice will not be $100 million or more; therefore, this notice is not a major rule as defined in Title 5, United States Code, section 804(2) and is not being forwarded to the Congress for a 60-day review period.

3. Unfunded Mandate

The Unfunded Mandate Reform Act of 1995 also requires (in section 202) that agencies prepare an assessment of anticipated costs and benefits for any rule that may result in an expenditure by State, local, and tribal governments, in the aggregate, or by the private sector, of $100 million or more in any one year. The notice has no consequential effect on State, local, or tribal governments. We believe the private sector costs of this notice fall below the threshold as well.

4. Rural Hospital Impact

Section 1102(b) of the Act requires us to prepare a regulatory impact analysis for any notice that may have a significant impact on the operations of a substantial number of small rural hospitals. Such an analysis must conform to the provisions of section 604 of the RFA. For purposes of section 1102(b) of the Act, we define a small rural hospital as a hospital that is located outside an MSA and has fewer than 50 beds.

Because this notice has no direct impact on small hospitals, in accordance with 5 U.S.C. 604, the Secretary certifies that this notice will not have a significant impact on the operations of a substantial number of small rural hospitals.

5. Federalism

We have reviewed this notice under the threshold criteria of Executive Order 13132, Federalism, and have determined that this notice will not have any negative impact on the rights, roles, and responsibilities of State, local, or tribal governments.

A. Anticipated Effects

We have compared estimated payments using the FY 1983 hospice wage index to estimated payments using the FY 2001 wage index and determined the current hospice rates to be budget-neutral. As mentioned above, the negotiated rulemaking committee agreement required that we not pay more under the new wage index in the aggregate than we would have paid under the original wage index.

This impact analysis compares hospice payments under the FY 2000 hospice wage index to the estimated payments using the FY 2001 wage index. The data used in developing the quantitative analysis for this notice were obtained from the March 2000 update of the national claims history file of all bills submitted during FY 1999. We deleted bills from hospices that have since closed.

Table C demonstrates the results of our analysis. In Column 2 of Table C, we indicate the number of routine home care days that were included in our analysis, although the analysis was performed on all types of hospice care. Column 3 of Table C indicates payments that were made using the FY 2000 wage index. Column 4 of Table C is based on FY 1999 claims and estimates payments to be made to hospices using the FY 2001 wage index. The final column, which compares Columns 3 and 4, shows the percent change in estimated hospice payments made based on the category of the hospice.

Table C categorizes hospices by various geographic and provider characteristics. The first row displays the results of the impact analysis for all Medicare certified hospices. The second and third rows of the table categorize hospices according to their geographic location (urban and rural). Our analysis indicated that there are 1,351 hospices located in urban areas and 798 hospices located in rural areas. The next two groupings in the table indicate the number of hospices by census region, also broken down by urban and rural hospices. The sixth grouping shows the impact on hospices based on the size of the hospice's program. We determined that the majority of hospice payments are made at the routine home care rate. Therefore, we based the size of each individual hospice's program on the number of routine home care days provided in 1999. The next grouping shows the impact on hospices by type of ownership. The final grouping shows the impact on hospices defined by whether they are provider-based or freestanding.

The results of our analysis shows that the greatest increases in payment are for rural areas in the West and East South Central Regions, with a 9.1 percent and 4.8 percent increase, respectively. The greatest decreases in payment are for urban areas in the New England and Mountain regions, each with a 0.4 percent decrease, and for rural areas in the Middle Atlantic and Pacific regions, each with a 0.4 percent decrease.

The breakdown by size, type of ownership, and facility base showed an increase in payments to all hospice programs. Small hospice programs showed significant increases of about 10 percent, while larger programs experienced only a negligible increase. Government-owned hospices showed the greatest estimated increase of 2.7 percent, while payments to voluntary hospices are expected to increase by 0.4 percent. In terms of hospice base, freestanding hospices showed the greatest estimated payment increase while home health agencies showed the smallest amount of payment increase.

Table C.—Impact of Hospice Wage Index Change

Number of hospices (1) Number of routine home care days in thousands (2) Payments using FY 2000 wage index in thousands (3) Estimated payments using FY 2001 wage index in thousands (4) Percent change in Hospice payments (5)
(By geographic location):
All Hospices 2,149 21,354 2,490,702 2,504,439 0.6
Urban Hospices 1,351 18,120 2,185,780 2,190,590 0.2
Rural Hospices 798 3,234 304,922 313,849 2.9
By Region—Urban:
New England 94 642 89,447 89,051 −0.4
Middle Atlantic 170 2,245 290,927 291,894 0.3
South Atlantic 185 4,030 509,079 511,583 0.5
East North Central 224 2,862 334,861 336,694 0.5
East South Central 94 1,169 123,023 123,530 0.4
West North Central 96 1,061 113,167 113,498 0.3
West South Central 188 2,408 261,632 261,287 −0.1
Mountain 88 1,135 149,035 148,443 −0.4
Pacific 183 2,325 298,138 298,086 0
Puerto Rico 29 243 16,470 16,524 0.3
By Region—Rural:
New England 26 72 7,666 7,811 1.9
Middle Atlantic 35 168 17,282 17,214 −0.4
South Atlantic 117 681 63,904 65,005 1.7
East North Central 136 561 53,801 54,541 1.4
East South Central 81 524 48,159 50,481 4.8
West North Central 174 409 37,622 38,969 3.6
West South Central 85 362 29.640 32.351 9.1
Mountain 87 217 21.359 22,048 3.2
Pacific 54 217 24,012 23,922 −0.4
Puerto Rico 3 23 1,476 1,507 2.1
(Skilled)
Routine home care days:
0-1,754 days 437 390 36,700 40,609 10.6
1,754-4,373 days 502 1,504 150,829 154,399 2.4
4,373-9,681 days 556 3,669 388,427 390,269 0.5
9,681 + days 653 15,449 1,875,339 1,879,969 0.2
Type of ownership:
Voluntary 1,351 13,975 1,638,339 1,644,677 0.4
Proprietary 573 6,714 784,488 790,194 0.7
Government 192 568 58,174 59,770 2.7
Other 33 97 9,701 9,797 1.0
Hospice base:
Freestanding 874 12,368 1,451,898 1,461,421 0.7
Home health agency 716 5,357 625,165 627,440 0.4
Hospital 538 3,503 395,997 397,830 0.5
Skilled nursing facility 21 126 17,642 17,748 0.6

In accordance with the provisions of Executive Order 12866, this regulation was reviewed by the Office of Management and Budget.

Authority: Section 1814(i) of the Social Security Act (42 U.S.C. 1395f (i)(1)).

(Catalog of Federal Domestic Assistance Program No. 93.773 Medicare—Hospital Insurance Program; and No. 93.774, Medicare—Supplementary Medical Insurance Program)

Dated: August 21, 2000.

Nancy-Ann Min DeParle,

Administrator, Health Care Financing Administration.

Dated: September 22, 2000.

Donna E. Shalala,

Secretary.

[FR Doc. 00-25547 Filed 10-2-00; 12:23 pm]

BILLING CODE 4120-01-P