2. PURPOSE
To utilize hospice penetration as a metric for access to
care
To identify those states with high and low levels, on a
relative basis, of hospice penetration
To compare and contrast various market factors, at the
state level, to understand differences between high and
low penetration states
4. SPEAKER BACKGROUND
BA Lehigh University Mathematics, MBA MIT Sloan
School
Marketing and planning positions with Fortune 100
companies, with emphasis of consumer products
20+ years in all aspects of home care with for-profit
and non-profit organizations
President, Healthcare Market Resources, a local
market competitive intelligence firm
5. DATA SOURCES
Medicare hospice claims files
Medicare reports
Center for Disease Control publications
Department of Commerce, Census Bureau
State Departments of Health websites
6. RESEACH APPROACH
Regression Analysis
See if hospice penetration is dependent on a given
variable
Utilizes entire set of state data
Very high or very low correlation can be relied upon
High/Low Penetration
Identify high and low penetration states & see if these
groups’ results mirror top 10 or bottom 10 performers for
that indicator
Better able to identify factors that enhance or inhibit
penetration
22. HIGH GROWTH STATES 2006
•ALASKA •MAINE
•DELAWARE •RHODE ISLAND
•SOUTH DAKOTA •IDAHO
•MISSISSIPPI •ALABAMA
•KANSAS •TENNESSEE
High Penetration-Bold; Low
Penetration-Italics
23. HIGH GROWTH STATES 2007
•ALASKA •MAINE
•DELAWARE •RHODE ISLAND
•IDAHO •SOUTH DAKOTA
•SOUTH CAROLINA •NORTH DAKOTA
•TENNESSEE •IOWA
High Penetration-Bold
Low Penetration-Italics
24. LOW GROWTH STATES 2006
KENTUCKY COLORADO
HAWAII NEVADA
ILLINOIS MICHIGAN
FLORIDA OREGON
WASHINGTON MARYLAND
High Penetration-Bold
Low Penetration-Italics
25. LOW GROWTH STATES 2007
KENTUCKY COLORADO
NEVADA ILLINOIS
OREGON HAWAII
WYOMING MARYLAND
NEW YORK FLORIDA
High Penetration-Bold
Low Penetration-Italics
26. CON STATES PENETRATION 2006
2.50%
2.25% 2.29% 2.19%
2.00% 1.82%
1.71%
1.50%
1.00%
0.50%
0.00%
CON CON Non-CON Nat'l Wght Nat'l
States States w/o States Avg Unwght
FL Avg
27. CON STATES PENETRATION 2007
3.00%
2.43% 2.41%
2.50% 2.30%
2.00% 1.92%
1.82%
1.50%
1.00%
0.50%
0.00%
CON States CON States Non-CON Nat'l Wght Nat'l Unwght
w/o FL States Avg Avg
CON States - 25% of Total
28. ACCESS IN CON STATES 2006
(Hospices per Counties)
3 3
2.5
2
1.5 1.4
1.28
1.17
1 0.95
0.82 0.8 0.82 0.79
0.68 0.63 0.71
0.6
0.5
0.33
0.23
0
AR DC FL HI KY MD NY NC SC TN VT WA WV US AVG
29. ACCESS IN CON STATES 2007
(Hospices per Counties)
3.50
3.00
3.00
2.50
2.00
1.60
1.48
1.50
1.17
1.02
1.00 0.81 0.82 0.82
0.65 0.71 0.68
0.64 0.60
0.50 0.33
0.23
-
AR DC FL HI KY MD NY NC SC TN VT WA WV US AVG
30. HIGH PENETRATION STATES 2006
CON STATES IN BOLD
•OKLAHOMA •ARIZONA
•ALABAMA •UTAH
•MISSISSIPPI •FLORIDA
•IOWA •GEORGIA
•NEW MEXICO •TEXAS
31. HIGH PENETRATION STATES 2007
CON STATES IN BOLD
•ARIZONA •FLORIDA
•UTAH •IOWA
•OKLAHOMA •DELAWARE
•ARIZONA •TEXAS
•MISSISSIPPI •MISSOURI
32. LOW PENETRATION STATE 2006
CON STATES IN BOLD
ALASKA HAWAII
WYOMING NEW YORK
DISTRICT OF PUERTO RICO
COLUMBIA
VERMONT SOUTH DAKOTA
MAINE WEST VIRGINA
33. LOW PENETRATION STATE 2007
CON STATES IN BOLD
ALASKA WYOMING
HAWAII NEW YORK
DISTRICT OF VERMONT
COLUMBIA
SOUTH DAKOTA KENTUCKY
WEST VIRGINA MAINE
34. LOW GROWTH STATES 2006
CON STATES IN BOLD
KENTUCKY COLORADO
HAWAII NEVADA
ILLINOIS MICHIGAN
FLORIDA OREGON
WASHINGTON MARYLAND
35. LOW GROWTH STATES 2007
CON STATES IN BOLD
KENTUCKY COLORADO
NEVADA ILLINOIS
OREGON HAWAII
WYOMING MARYLAND
NEW YORK FLORIDA
36. HOSPICE PENETRATION
(Hospice Deaths as % of Anticipated Deaths)
50.0% 45.3% 44.4%
45.0%
40.0%
33.6%
35.0%
30.0%
25.0% 20.1% 20.4%
20.0%
15.0%
10.0%
5.0%
0.0%
Top 10 High Pent Bottom 10 Low Pent Nat'l Avg
37. METRIC COMPARISON BY STATE
High Death % High Penetration % Low Death % Low Penetration %
Arizona Oklahoma Alaska Alaska
Utah Arizona Dist of Columbia Hawaii
Alabama Alabama Hawaii Wyoming
Florida Utah Wyoming New York
Mississippi Mississippi Puerto Rico Dist of Columbia
Colorado Florida New York Puerto Rico
New Mexico Iowa Vermont Vermont
Oklahoma Georgia South Dakota South Dakota
Oregon New Mexico North Dakota Maine
Iowa Texas Maine West Virginia
38. HOSPICE GROWTH
(% Change in Hospice Penetration % 2002-6)
80.0% 79.9%
70.0%
60.0%
51.0%
50.0% 48.0%
40.0%
40.0%
30.0%
23.1%
20.0%
10.0%
0.0%
Top 10 High Pent Bottom 10 Low Pent Nat'l Avg
w/o AK w/o AK
39. HOSPICE GROWTH
(% Change in Hospice Penetration % 2002-7)
100.0%
92.6%
90.0%
80.0%
70.0%
60.0% 56.4% 55.2%
47.6%
50.0%
40.0%
30.0% 27.3%
20.0%
10.0%
0.0%
Top 10 w/o High Pent Bottom 10 Low Pent Nat'l Avg
AK w/o AK
40. POPULATION DENSITY
Population per Square Mile
700
604.57
600
500
400
300
200
100 92.9 90.2 83.8
14
0
Top 10 High Pent Bottom 10 Low Pent Nat'l Avg
w/o DC w/o DC
41. ACCESS TO CARE
(Hospices /10K Medicare Eligible)
2 1.98
1.8
1.6 1.49
1.4
1.2
1
0.84
0.8 0.73
0.6
0.4 0.36
0.2
0
Top 10 High Pent Bottom 10 Low Pent Nat'l Avg
42. GEOGRAPHIC ACCESS TO CARE
(Hospices per 1K Sq Miles)
6 5.83
5 4.73
4
3
2
1.28
1 0.61 0.81
0.28
0
Top 10 High Bottom Low Low Nat'l
ex DC Pent 10 ex Pent Pent ex Avg
AK AK, DC,
PR
50. LONG STAY PATIENTS
(% Patients w/LOS>90 Days)
30.0% 28.6%
26.7%
25.0%
19.7% 20.6%
20.0%
15.1%
15.0%
10.0%
5.0%
0.0%
Top 10 High Pent Bottom 10 Low Pent Nat'l Avg
51. NURSING HOME MARKET
On currently available claims data, there is no data on
place of service; must infer
Claims data has place of death; if patient dies in a medical
facility, it is either a hospital or a skilled nursing facility
If patient dies in a hospital, they were likely there to
receive inpatient services
So if a patient dies in a medical facility and has no
inpatient days on the last claim, we infer that they must
have did in a SNF
52. NURSING HOME MARKET
(% DIED IN MED FAC W/NO INPT DAYS)
35.0%
30.9%
30.0%
25.0%
19.9%
20.0%
16.9%
14.8%
15.0%
10.0%
7.1%
5.0%
0.0%
Top 10 High Pent Bottom 10 Low Pent Nat'l Avg
53. CORRELATION SUMMARY
(Hospice Penetration)
INDICATOR CORREL INDICATOR CORREL
Hospice Growth -.265 Alzheimer’s Impact .257
Population Density -.217 For-Profit Presence .477
Access to Care .372 Length of Stay .597
Geographic Access -.198 Long Stay Patients .645
Non-White Patients -.129 Long Stay Patients 90+ .583
Non-White Penetration .017 “Nursing Home” Market .124
Disease Mix .807 Hospice Death Penetration .949
54. CONCLUSIONS
Few market factors appear to consistently influence
hospice penetration(access to care)
Those factors with the greatest influence
Non-Cancer Hospice Deaths
Length of Stay, particularly driven by 180+ day patients
Presence of For-Profits
CON appears to inhibit hospice penetration