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 ...
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 theFederal 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.
( printed page 60073)
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) 1
Wage index 2
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
( printed page 60074)
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
( printed page 60075)
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
( printed page 60076)
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
( printed page 60077)
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
( printed page 60078)
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
( printed page 60079)
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
1
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.
2
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 1
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
( printed page 60080)
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 2
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 2
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
1
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.
2
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.
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
( printed page 60081)
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
( printed page 60082)
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.