3-geographic cost variation analysis for medicaid nursing...

Florida Association of Homes and Services for the Aging 1

Geographic Cost Variation Analysis for Medicaid Nursing Home Costs

D R A F T Background During its initial development, the Medicaid Nursing Home Reimbursement Plan assigned Medicaid participating facilities into four size and geographic region groups to account for economies of scale and regional cost variations. Group specific cost based ceilings are calculated based entirely on data from the nursing homes included in each group. Numerous alternative groupings were developed using various statistical techniques, but ultimately, the small number of nursing facilities for which complete data was available as well as the overall small number of nursing homes operating in the state forced the architects of the Plan to settle for only four groups: Size Groups: Large Homes – > 100 beds, Small Homes – 100 or fewer beds Geographic Groups: North – counties along the I-4 corridor and north South – all other counties Since the inception of the plan in 1983, the question of how well the geographic region definitions parallel cost variations in the state surfaced several times. During the early 1990’s an additional geographic region, the Central region, was created by taking some counties from both the North and South regions. This change was implemented to recognize that the economy and cost factors of the central portion of the state were somewhat different from that of both the extreme South and the extreme North. Due to the negative impact the creation of the Central region would have had on the ceiling calculations for both North and South, the ceiling calculations retained the original four group definitions and averaged the North and South results to create the Central ceilings. Members of the Workgroup on Nursing Facility Reimbursement, established under the authority of Section 409.908 (23)(c), Florida Statutes, discussed this issue and decided that another analytical investigation to determine if a better method for accounting for geographic cost variations is warranted. Research Questions There are two questions the Workgroup would like to answer:

1. Is there a more accurate way of grouping facilities into classes to account for geographic cost variations?

2. Is there a more accurate way of grouping facilities into classes to account for size related cost variations?

Methodology and Data One of the simplest statistical methods for determining relationships among a number of independent and a dependent variable is linear regression. Simply put, a linear regression builds a predictive model for the dependent variable through a linear combination of the independent variables. The overall


strength of the model as well as the predictive contribution of each individual dependent variable can be measured. Stepwise linear regression is a variation of linear regression where the variable with the most predictive strength is inserted into the model first, then one step at a time variables are added and removed to attain the best predictive power for the model. In this case, there are three potential dependent variables:

• Operating Cost Per Diem • Indirect Patient Care Cost Per Diem, and • Direct Care Cost Per Diem

since these are the three cost components for which class ceilings are calculated. Extracted from the July 1, 2009 AHCA Nursing Home Rate Snapshot database, the following facility characteristic (independent) variables are available:

• CNA Ratio • Nurse Ratio • Total Days • Medicare Days • Medicaid Days • Number of Beds • Age of Building • Ownership Type • Percent Medicare • Percent Medicaid • Percent Occupancy

Two additional size grouping variables were created as follows:

Size Group 1 - 20 beds through 100 beds = 1 101 beds through 462 beds = 2

Size Group 2 - 20 beds through 90 beds = 1 91 beds through 150 beds = 2 150 beds through 462 beds = 3

The first size group reflects the current size class definition and the second size group creates one more size class to account for the large number of facilities with close to 120 beds, the mode of the size distribution. There was no attempt to define the “best” size grouping, rather the emphasis is to see if there is a better grouping than the one used currently. A geographic class variable was also defined as:

Geo Group 1 - North = 1, Central = 2,


South = 3.

Finally, the Medicare geographic Wage Index for Florida counties was also used an independent variable to serve as a proxy for geographic cost variations. An Excel file of the dependent and independent variables is available for inspection or further analyses. Results For each dependent variable, two sets of stepwise regression models were run. The first included all independent variables to assess which combination had the best predictive power. The second model included only those variables that were related to size and geographic factors. This second model yields an insight into how well the current or the alternative geographic and size classes create homogeneous groupings of nursing home costs. The table below identifies the variables that were ultimately included in the various models.

Independent Variables &

Models C

NA

Ratio

Nurse R

atio

Total Days

Medicare D

ays

Medicaid D

ays

Num

ber of Beds

Age of B

uilding

Ow

nership Type

Percent Medicare

Percent Medicaid

Percent Occupancy

Size Group 1

Size Group 2

Geo G

roup 1

Wage Index

Operating Cost Per Diem Full Model

Ceiling Related Model Indirect Patient Care Cost Per Diem

Full Model Ceiling Related Model

Direct Patient Care Cost Per Diem Full Model

Ceiling Related Model The SPSS program and the related output are attached in Appendix A. Each regression model results in an estimate of the total variation explained by the model. Higher values of variation explained indicate better predictive strength for the model. The table below summarized the percent of variation explained by each of the six models:

Models Percent Variation Explained Operating Cost Per Diem

Full Model 27.6% Ceiling Related Model 8.3%


Indirect Patient Care Cost Per Diem Full Model 40.5%

Ceiling Related Model 9.0% Direct Patient Care Cost Per Diem

Full Model 39.1% Ceiling Related Model 1.7%

Additional ANOVA analyses support the results of the regression models above. There is no statistical difference attributable to size classes for the Direct Patient Care Per Diem under either the current or the revised size class definitions, although geographic class differences are statistically significant. Statistically significant geographic and size class differences exist for both current and revised size class definitions for both Operating Cost Per Diem and Indirect Patient Care Per Diem. Based on the results of the regression and ANOVA models the following observations can be made:

• The current size and geographic class groupings do not seem to be consistently applicable to all three dependent variables. That is, different geographic and size classes should be developed for each of the three cost component per diems. The three cost components should be broken down into subcomponents to determine what ceilings size and geographic groups are the most appropriate for each sub component.

• There is no way to measure the artificial impact the existing system’s constraints impart on the individual facility costs.

Direct Patient Care Per Diem • The current and the potential alternative size class groupings do not provide adequate

predictive strength or class group differentiation to be used for ceiling calculations for Direct Patient Care Per Diem.

• Statistical differences in the ANOVA models would indicate that enough geographic differences exist to retain geographic classes for Direct Patient Care Per Diem. Additional analyses will be required to refine the classes. In particular, if data for subcomponents of wages and benefits could be obtained, additional refinement for ceiling development could be conducted.

Indirect Patient Care Per Diem & Operating Cost Per Diem • There are statistical differences among geographic and both current and alternative size classes

and they should be retained for setting ceilings for Operating Cost Per Diem and Indirect Cost Per Diem. To conduct meaningful analyses, sub components of both of these cost components should be included in any further analyses as it is suspected that some sub components will not vary with either geography or size, while others may do so.

• Other independent variables, such as the Nurse Ratio, Ownership Type, and Percent Occupancy contribute significantly to the predictive strength of the full models for each of the three dependent variables. These variables may play a role if a pricing system is considered in the future.

o For the Indirect Patient Care Per Diem the current size grouping and the Wage Index contribute to the models strength.

o For the Operating Cost Per Diem the current geographic grouping and the alternative size grouping variables are contributing to the models’ strength.

Appendix A

Nursing Home Cost Regional Analysis SPSS Program and Output

SPSS Program DATASET ACTIVATE DataSet1. RECODE Size (Lowest thru 100=1) (101 thru Highest=2) INTO SizeGroup1. VALUE LABELS SizeGroup1 1.00 'Less Than 101' 2.00 'More Than 100'. EXECUTE. RECODE Size (Lowest thru 90=1) (91 thru 150=2) (151 thru Highest=3) INTO SizeGroup2. VALUE LABELS SizeGroup2 1.00 '< 90' 2.00 '91 - 150' 3.00 '151+'. EXECUTE. RECODE Region (1 thru 2=1) (5 thru 6=2) (3 thru 4=3) INTO GeoGroup1. VALUE LABELS GeoGroup1 1.00 'North' 2.00 'Central' 3.00 'South'. EXECUTE. COMPUTE NormOPPD=imoperpd/wageindex. VARIABLE LABELS NormOPPD 'Normalized Operating Per Diem'. COMPUTE NormDCPD=impatdpd/wageindex. VARIABLE LABELS NormDCPD 'Normalized Direct Patient Care Per Diem'. COMPUTE NormICPD=impatipd/wageindex. VARIABLE LABELS NormICPD 'Normalized Indirect Patient Care Per Diem'. FORMATS imoperpd, impatdpd, impatipd, normoppd, normicpd, normdcpd (Dollar6). EXECUTE . MEANS TABLES=imoperpd NormOPPD BY SizeGroup1 SizeGroup2 GeoGroup1 /CELLS MEAN COUNT /STATISTICS ANOVA. MEANS TABLES=impatipd NormICPD BY SizeGroup1 SizeGroup2 GeoGroup1 /CELLS MEAN COUNT /STATISTICS ANOVA. MEANS TABLES=impatdpd NormDCPD BY SizeGroup1 SizeGroup2 GeoGroup1 /CELLS MEAN COUNT /STATISTICS ANOVA. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT imoperpd /METHOD=STEPWISE WageIndex CNARatio NurRatio totdays mcardays medidays Size BuildingOpenDate proftype MedicaidPCT MedicarePCT occupancyPCT SizeGroup1 SizeGroup2 GeoGroup1. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT imoperpd /METHOD=STEPWISE Size SizeGroup1 SizeGroup2 WageIndex GeoGroup1.

REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT impatipd /METHOD=STEPWISE WageIndex CNARatio NurRatio totdays mcardays medidays Size BuildingOpenDate proftype MedicaidPCT MedicarePCT occupancyPCT SizeGroup1 SizeGroup2 GeoGroup1. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT impatipd /METHOD=STEPWISE Size SizeGroup1 SizeGroup2 WageIndex GeoGroup1. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT impatdpd /METHOD=STEPWISE WageIndex CNARatio NurRatio totdays mcardays medidays Size BuildingOpenDate proftype MedicaidPCT MedicarePCT occupancyPCT SizeGroup1 SizeGroup2 GeoGroup1. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT impatdpd /METHOD= STEPWISE Size SizeGroup1 SizeGroup2 WageIndex GeoGroup1.

SPSS Output Means

Notes

Output Created 27-Aug-2009 15:34:45

Comments

Input Data X:\Erwin Bodo\Medicaid Workgoup\SPSS Regional

Analysis Extract 200907.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 580

Missing Value Handling Definition of Missing For each dependent variable in a table, user-defined

missing values for the dependent and all grouping variables

are treated as missing.

Cases Used Cases used for each table have no missing values in any

independent variable, and not all dependent variables have

missing values.

Syntax MEANS TABLES=imoperpd NormOPPD BY SizeGroup1

SizeGroup2 GeoGroup1

/CELLS MEAN COUNT

/STATISTICS ANOVA.

Resources Processor Time 0:00:00.016

Elapsed Time 0:00:00.046

[DataSet1] X:\Erwin Bodo\Medicaid Workgoup\SPSS Regional Analysis Extract 200907.sav

Case Processing Summary

Cases

Included Excluded Total

N Percent N Percent N Percent

Operating Cost Per Diem * Current Size

Class

580 100.0% 0 .0% 580 100.0%

Normalized Operating Per Diem * Current

Size Class

580 100.0% 0 .0% 580 100.0%

Operating Cost Per Diem * Revised Size

Class

580 100.0% 0 .0% 580 100.0%

Normalized Operating Per Diem * Revised

Size Class

580 100.0% 0 .0% 580 100.0%

Operating Cost Per Diem * Current

Geographic Class

580 100.0% 0 .0% 580 100.0%


Geographic Class

580 100.0% 0 .0% 580 100.0%

Operating Cost Per Diem Normalized Operating Per Diem * Current Size Class

Report

Current Size Class Operating Cost Per Diem

Normalized Operating

Per Diem

Less Than 101 Mean $49.46 $53.87

N 118 118

More Than 100 Mean $42.51 $46.48

N 462 462

Total Mean $43.93 $47.98

N 580 580

ANOVA Table

Sum of Squares df Mean Square


Class

Between Groups (Combined) 4532.895 1 4532.895

Within Groups 113879.729 578 197.024

Total 118412.623 579


Size Class


Within Groups 134103.526 578 232.013

Total 139234.355 579

Measures of Association

Eta Eta Squared


Class

.196 .038


Size Class

.192 .037

Operating Cost Per Diem Normalized Operating Per Diem * Revised Size Class

Report

Revised Size Class Operating Cost Per Diem


Per Diem

< 90 Mean $51.40 $55.99

N 96 96

91 - 150 Mean $43.04 $47.17

N 360 360

151+ Mean $40.72 $44.15

N 124 124

Total Mean $43.93 $47.98

N 580 580

ANOVA Table



Class


Within Groups 111488.161 577 193.220

Total 118412.623 579


Size Class


Within Groups 131019.602 577 227.070

Total 139234.355 579


Eta Eta Squared


Class

.242 .058


Size Class

.243 .059

Operating Cost Per Diem Normalized Operating Per Diem * Current Geographic Class

Report

Current Geographic Class Operating Cost Per Diem


Per Diem

North Mean $41.82 $47.68

N 180 180

Central Mean $41.51 $46.33

N 200 200

South Mean $48.24 $49.91

N 200 200

Total Mean $43.93 $47.98

N 580 580

ANOVA Table


Operating Cost Per Diem * Current Between Groups (Combined) 5693.763 2 2846.881

Geographic Class Within Groups 112718.860 577 195.353

Total 118412.623 579


Geographic Class


Within Groups 137932.181 577 239.051

Total 139234.355 579


Eta Eta Squared

Operating Cost Per Diem * Current

Geographic Class

.219 .048


Geographic Class

.097 .009

Means

Notes


Comments




Filter <none>

Weight <none>

Split File <none>







missing values.

Syntax MEANS TABLES=impatipd NormICPD BY SizeGroup1


/CELLS MEAN COUNT

/STATISTICS ANOVA.





Cases



Indirect Patient Care Per Diem * Current

Size Class

580 100.0% 0 .0% 580 100.0%

Normalized Indirect Patient Care Per Diem

* Current Size Class

580 100.0% 0 .0% 580 100.0%

Indirect Patient Care Per Diem * Revised

Size Class

580 100.0% 0 .0% 580 100.0%


* Revised Size Class

580 100.0% 0 .0% 580 100.0%


Geographic Class

580 100.0% 0 .0% 580 100.0%


* Current Geographic Class

580 100.0% 0 .0% 580 100.0%

Indirect Patient Care Per Diem Normalized Indirect Patient Care Per Diem * Current Size Class

Report

Current Size Class

Indirect Patient Care Per

Diem

Normalized Indirect

Patient Care Per Diem

Less Than 101 Mean $54.27 $59.01

N 118 118

More Than 100 Mean $46.70 $51.05

N 462 462

Total Mean $48.24 $52.67

N 580 580

ANOVA Table



Size Class


Within Groups 118605.683 578 205.200

Total 123989.217 579




Within Groups 135806.835 578 234.960

Total 141773.306 579


Eta Eta Squared


Size Class

.208 .043



.205 .042

Indirect Patient Care Per Diem Normalized Indirect Patient Care Per Diem * Revised Size Class

Report

Revised Size Class


Diem

Normalized Indirect


< 90 Mean $55.73 $60.55

N 96 96

91 - 150 Mean $46.87 $51.37

N 360 360

151+ Mean $46.42 $50.33

N 124 124

Total Mean $48.24 $52.67

N 580 580

ANOVA Table



Size Class


Within Groups 117516.722 577 203.668

Total 123989.217 579




Within Groups 134523.662 577 233.143

Total 141773.306 579


Eta Eta Squared


Size Class

.228 .052



.226 .051

Indirect Patient Care Per Diem Normalized Indirect Patient Care Per Diem * Current Geographic Class

Report

Current Geographic Class


Diem

Normalized Indirect


North Mean $45.94 $52.32

N 180 180


N 200 200

South Mean $52.96 $54.78

N 200 200

Total Mean $48.24 $52.67

N 580 580

ANOVA Table



Geographic Class


Within Groups 117182.212 577 203.089

Total 123989.217 579




Within Groups 140201.076 577 242.983

Total 141773.306 579


Eta Eta Squared


Geographic Class

.234 .055



.105 .011

Means

Notes


Comments




Filter <none>

Weight <none>

Split File <none>







missing values.

Syntax MEANS TABLES=impatdpd NormDCPD BY SizeGroup1


/CELLS MEAN COUNT

/STATISTICS ANOVA.





Cases



Direct Patient Care Per Diem * Current

Size Class

580 100.0% 0 .0% 580 100.0%

Normalized Direct Patient Care Per Diem *

Current Size Class

580 100.0% 0 .0% 580 100.0%

Direct Patient Care Per Diem * Revised

Size Class

580 100.0% 0 .0% 580 100.0%


Revised Size Class

580 100.0% 0 .0% 580 100.0%


Geographic Class

580 100.0% 0 .0% 580 100.0%



580 100.0% 0 .0% 580 100.0%

Direct Patient Care Per Diem Normalized Direct Patient Care Per Diem * Current Size Class

Report

Current Size Class

Direct Patient Care Per

Diem

Normalized Direct Patient

Care Per Diem

Less Than 101 Mean $88.14 $96.30

N 118 118

More Than 100 Mean $87.99 $96.37

N 462 462

Total Mean $88.02 $96.36

N 580 580

ANOVA Table


Direct Patient Care Per Diem * Current Size

Class


Within Groups 87844.080 578 151.979

Total 87846.280 579


Current Size Class

Between Groups (Combined) .493 1 .493

Within Groups 110042.068 578 190.384

Total 110042.560 579


Eta Eta Squared

Direct Patient Care Per Diem * Current Size

Class

.005 .000


Current Size Class

.002 .000

Direct Patient Care Per Diem Normalized Direct Patient Care Per Diem * Revised Size Class

Report

Revised Size Class


Diem


Care Per Diem

< 90 Mean $88.28 $96.41

N 96 96

91 - 150 Mean $87.56 $96.14

N 360 360

151+ Mean $89.14 $96.94

N 124 124

Total Mean $88.02 $96.36

N 580 580

ANOVA Table



Size Class


Within Groups 87608.237 577 151.834

Total 87846.280 579


Revised Size Class


Within Groups 109983.154 577 190.612

Total 110042.560 579


Eta Eta Squared


Size Class

.052 .003


Revised Size Class

.023 .001

Direct Patient Care Per Diem Normalized Direct Patient Care Per Diem * Current Geographic Class

Report



Diem


Care Per Diem

North Mean $86.76 $98.84

N 180 180


N 200 200

South Mean $90.64 $93.90

N 200 200

Total Mean $88.02 $96.36

N 580 580

ANOVA Table



Geographic Class


Within Groups 85742.316 577 148.600

Total 87846.280 579




Within Groups 107709.347 577 186.671

Total 110042.560 579


Eta Eta Squared


Geographic Class

.155 .024



.146 .021

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for

any variable used.

Syntax REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT imoperpd

/METHOD=STEPWISE WageIndex CNARatio NurRatio

totdays mcardays medidays Size BuildingOpenDate

proftype MedicaidPCT MedicarePCT occupancyPCT

SizeGroup1 SizeGroup2 GeoGroup1.



Memory Required 9508 bytes

Additional Memory Required for Residual

Plots

0 bytes


Variables Entered/Removeda

Model Variables Entered Variables Removed Method

1 Percent Medicaid . Stepwise (Criteria:

Probability-of-F-to-enter

<= .050, Probability-of-F-

to-remove >= .100).

2 Percent Occupancy . Stepwise (Criteria:



to-remove >= .100).

3 Medicare Days . Stepwise (Criteria:



to-remove >= .100).

4 Nurse Ratio . Stepwise (Criteria:



to-remove >= .100).

5 Current Geographic

Class

. Stepwise (Criteria:



to-remove >= .100).

6 Ownership Type . Stepwise (Criteria:



to-remove >= .100).

7 Revised Size Class . Stepwise (Criteria:



to-remove >= .100).

8 Percent Medicare . Stepwise (Criteria:



to-remove >= .100).

9 . Medicare Days Stepwise (Criteria:



to-remove >= .100).

a. Dependent Variable: Operating Cost Per Diem

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .322a .104 .102 $13.551

2 .432b .187 .184 $12.918

3 .480c .230 .226 $12.579

4 .503d .253 .248 $12.402

5 .515e .265 .259 $12.314

6 .526f .276 .269 $12.229

7 .533g .285 .276 $12.170

8 .543h .295 .285 $12.092

9 .542i .294 .285 $12.092

a. Predictors: (Constant), Percent Medicaid

b. Predictors: (Constant), Percent Medicaid , Percent Occupancy

c. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days

d. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio

e. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current

Geographic Class

f. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current

Geographic Class, Ownership Type

g. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current

Geographic Class, Ownership Type, Revised Size Class

h. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current

Geographic Class, Ownership Type, Revised Size Class, Percent Medicare

i. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Nurse Ratio, Current Geographic Class,

Ownership Type, Revised Size Class, Percent Medicare

ANOVAj

Model Sum of Squares df Mean Square F Sig.

1 Regression 12270.979 1 12270.979 66.822 .000a

Residual 106141.645 578 183.636

Total 118412.623 579

2 Regression 22126.834 2 11063.417 66.298 .000b

Residual 96285.790 577 166.873

Total 118412.623 579

3 Regression 27268.941 3 9089.647 57.444 .000c

Residual 91143.683 576 158.236

Total 118412.623 579

4 Regression 29969.426 4 7492.356 48.710 .000d

Residual 88443.198 575 153.814

Total 118412.623 579

5 Regression 31377.119 5 6275.424 41.386 .000e

Residual 87035.505 574 151.630

Total 118412.623 579

6 Regression 32722.545 6 5453.757 36.469 .000f

Residual 85690.079 573 149.546

Total 118412.623 579

7 Regression 33696.471 7 4813.782 32.502 .000g

Residual 84716.152 572 148.105

Total 118412.623 579

8 Regression 34919.248 8 4364.906 29.851 .000h

Residual 83493.375 571 146.223

Total 118412.623 579

9 Regression 34783.449 7 4969.064 33.987 .000i

Residual 83629.174 572 146.205

Total 118412.623 579

a. Predictors: (Constant), Percent Medicaid

b. Predictors: (Constant), Percent Medicaid , Percent Occupancy

c. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days

d. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio

e. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class

f. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class, Ownership Type

g. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class, Ownership Type,

Revised Size Class

h. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class, Ownership Type,

Revised Size Class, Percent Medicare

i. Predictors: (Constant), Percent Medicaid , Percent Occupancy, Nurse Ratio, Current Geographic Class, Ownership Type, Revised Size Class,

Percent Medicare

j. Dependent Variable: Operating Cost Per Diem

Coefficientsa

Model

Unstandardized Coefficients Standardized Coefficients

t Sig. B Std. Error Beta

1 (Constant) 59.322 1.966 30.181 .000

Percent Medicaid -26.742 3.271 -.322 -8.174 .000

2 (Constant) 103.382 6.032 17.140 .000


Percent Occupancy -49.329 6.419 -.289 -7.685 .000

3 (Constant) 104.927 5.880 17.846 .000



Medicare Days .000 .000 -.239 -5.701 .000

4 (Constant) 85.397 7.438 11.481 .000



Medicare Days .000 .000 -.251 -6.042 .000

Nurse Ratio 8.535 2.037 .164 4.190 .000

5 (Constant) 80.707 7.544 10.698 .000



Medicare Days .000 .000 -.249 -6.049 .000

Nurse Ratio 7.966 2.031 .153 3.922 .000

Current Geographic Class 1.956 .642 .111 3.047 .002

6 (Constant) 84.755 7.613 11.134 .000



Medicare Days .000 .000 -.216 -5.078 .000

Nurse Ratio 6.757 2.057 .130 3.285 .001


Ownership Type -3.554 1.185 -.113 -2.999 .003

7 (Constant) 88.492 7.715 11.471 .000



Medicare Days .000 .000 -.145 -2.873 .004

Nurse Ratio 6.938 2.048 .133 3.387 .001


Ownership Type -3.822 1.184 -.121 -3.229 .001

Revised Size Class -2.603 1.015 -.112 -2.564 .011

8 (Constant) 103.848 9.325 11.136 .000



Medicare Days .000 .000 .093 .964 .336

Nurse Ratio 6.634 2.038 .128 3.255 .001


Ownership Type -3.115 1.201 -.099 -2.593 .010

Revised Size Class -5.014 1.308 -.215 -3.832 .000

Percent Medicare -34.383 11.890 -.279 -2.892 .004

9 (Constant) 98.927 7.802 12.680 .000



Nurse Ratio 6.799 2.031 .131 3.348 .001


Ownership Type -3.157 1.200 -.100 -2.630 .009

Revised Size Class -4.051 .845 -.174 -4.792 .000

Percent Medicare -24.600 6.189 -.200 -3.975 .000


Excluded Variablesj

Model Beta In t Sig. Partial Correlation

Collinearity Statistics

Tolerance

1 Wage Index .138a 3.506 .000 .144 .978

CNA Ratio .062a 1.571 .117 .065 .996

Nurse Ratio .218a 5.415 .000 .220 .913

Total Patient Days -.170a -4.275 .000 -.175 .953

Medicare Days -.307a -7.335 .000 -.292 .813

Medicaid Days -.168a -3.335 .001 -.138 .602

Number of Beds -.110a -2.737 .006 -.113 .950

Building Open Date -.128a -3.116 .002 -.129 .901

Ownership Type -.202a -5.229 .000 -.213 .999

Percent Medicare -.314a -6.173 .000 -.249 .563

Percent Occupancy -.289a -7.685 .000 -.305 1.000

Current Size Class -.164a -4.189 .000 -.172 .989

Revised Size Class -.158a -3.960 .000 -.163 .955

Current Geographic Class .148a 3.765 .000 .155 .985

2 Wage Index .115b 3.040 .002 .126 .971

CNA Ratio .034b .891 .373 .037 .986

Nurse Ratio .149b 3.693 .000 .152 .849

Total Patient Days -.113b -2.902 .004 -.120 .912

Medicare Days -.239b -5.701 .000 -.231 .758

Medicaid Days -.110b -2.248 .025 -.093 .585

Number of Beds -.124b -3.255 .001 -.134 .948

Building Open Date -.067b -1.651 .099 -.069 .861

Ownership Type -.182b -4.927 .000 -.201 .993

Percent Medicare -.270b -5.497 .000 -.223 .554

Current Size Class -.146b -3.904 .000 -.161 .985

Revised Size Class -.170b -4.504 .000 -.184 .953

Current Geographic Class .125b 3.324 .001 .137 .978

3 Wage Index .111c 3.009 .003 .125 .971

CNA Ratio .021c .569 .570 .024 .983

Nurse Ratio .164c 4.190 .000 .172 .846

Total Patient Days .025c .532 .595 .022 .590

Medicaid Days .025c .454 .650 .019 .454

Number of Beds -.006c -.142 .887 -.006 .650

Building Open Date -.036c -.905 .366 -.038 .844

Ownership Type -.138c -3.696 .000 -.152 .932

Percent Medicare -.137c -1.837 .067 -.076 .238

Current Size Class -.059c -1.397 .163 -.058 .758

Revised Size Class -.077c -1.722 .086 -.072 .669

Current Geographic Class .124c 3.381 .001 .140 .978

4 Wage Index .094d 2.578 .010 .107 .958

CNA Ratio -.056d -1.395 .164 -.058 .795

Total Patient Days .013d .278 .781 .012 .587

Medicaid Days .016d .293 .769 .012 .453

Number of Beds -.014d -.306 .760 -.013 .649

Building Open Date -.023d -.576 .565 -.024 .838

Ownership Type -.112d -2.963 .003 -.123 .896

Percent Medicare -.104d -1.407 .160 -.059 .235

Current Size Class -.057d -1.387 .166 -.058 .758

Revised Size Class -.088d -2.004 .046 -.083 .667

Current Geographic Class .111d 3.047 .002 .126 .970

5 Wage Index .034e .669 .504 .028 .503

CNA Ratio -.056e -1.394 .164 -.058 .795

Total Patient Days -.004e -.093 .926 -.004 .579

Medicaid Days -.004e -.083 .934 -.003 .446

Number of Beds -.030e -.675 .500 -.028 .639

Building Open Date -.025e -.634 .527 -.026 .838

Ownership Type -.113e -2.999 .003 -.124 .896

Percent Medicare -.088e -1.194 .233 -.050 .234

Current Size Class -.057e -1.381 .168 -.058 .758

Revised Size Class -.099e -2.269 .024 -.094 .663

6 Wage Index .028f .554 .580 .023 .502

CNA Ratio -.057f -1.443 .150 -.060 .795

Total Patient Days -.027f -.561 .575 -.023 .565

Medicaid Days -.024f -.441 .660 -.018 .440

Number of Beds -.053f -1.171 .242 -.049 .623

Building Open Date .000f -.016 .987 .000 .802

Percent Medicare -.043f -.577 .564 -.024 .223

Current Size Class -.060f -1.482 .139 -.062 .757

Revised Size Class -.112f -2.564 .011 -.107 .658

7 Wage Index .032g .635 .526 .027 .502

CNA Ratio -.056g -1.424 .155 -.059 .795

Total Patient Days .157g 2.159 .031 .090 .236

Medicaid Days .136g 1.843 .066 .077 .230

Number of Beds .109g 1.457 .146 .061 .225

Building Open Date -.018g -.438 .662 -.018 .781

Percent Medicare -.279g -2.892 .004 -.120 .133

Current Size Class .006g .116 .908 .005 .470

8 Wage Index .026h .515 .607 .022 .501

CNA Ratio -.054h -1.380 .168 -.058 .795

Total Patient Days .064h .748 .455 .031 .170

Medicaid Days .081h 1.065 .287 .045 .211

Number of Beds .016h .189 .850 .008 .180

Building Open Date -.002h -.056 .955 -.002 .767

Current Size Class .004h .085 .932 .004 .470

9 Wage Index .027i .536 .592 .022 .501

CNA Ratio -.056i -1.435 .152 -.060 .797

Total Patient Days .080i 1.176 .240 .049 .265

Medicare Days .093i .964 .336 .040 .133

Medicaid Days .095i 1.310 .191 .055 .233

Number of Beds .046i .646 .518 .027 .240

Building Open Date -.003i -.083 .934 -.003 .767

Current Size Class .008i .165 .869 .007 .473

a. Predictors in the Model: (Constant), Percent Medicaid

b. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy

c. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days

d. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio

e. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class

f. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class, Ownership Type

g. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class, Ownership Type, Revised Size

Class

h. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Medicare Days, Nurse Ratio, Current Geographic Class, Ownership Type, Revised Size

Class, Percent Medicare

i. Predictors in the Model: (Constant), Percent Medicaid , Percent Occupancy, Nurse Ratio, Current Geographic Class, Ownership Type, Revised Size Class, Percent

Medicare

j. Dependent Variable: Operating Cost Per Diem

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>




any variable used.

Syntax REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT imoperpd

/METHOD=STEPWISE Size SizeGroup1 SizeGroup2

WageIndex GeoGroup1.





Plots

0 bytes




1 Revised Size Class . Stepwise (Criteria:



to-remove >= .100).

2 Current Geographic

Class

. Stepwise (Criteria:



to-remove >= .100).


Model Summary


1 .219a .048 .046 $13.965

2 .293b .086 .083 $13.696

a. Predictors: (Constant), Revised Size Class

b. Predictors: (Constant), Revised Size Class, Current Geographic Class

ANOVAc


1 Regression 5685.974 1 5685.974 29.155 .000a

Residual 112726.649 578 195.029

Total 118412.623 579

2 Regression 10173.135 2 5086.567 27.115 .000b

Residual 108239.489 577 187.590

Total 118412.623 579

a. Predictors: (Constant), Revised Size Class

b. Predictors: (Constant), Revised Size Class, Current Geographic Class

c. Dependent Variable: Operating Cost Per Diem

Coefficientsa

Model



1 (Constant) 54.372 2.020 26.923 .000


2 (Constant) 47.757 2.398 19.912 .000




Excluded Variablesc



Tolerance

1 Number of Beds .057a .697 .486 .029 .245


Wage Index .190a 4.769 .000 .195 .999


2 Number of Beds .030b .378 .706 .016 .244


Wage Index .105b 1.898 .058 .079 .511

a. Predictors in the Model: (Constant), Revised Size Class

b. Predictors in the Model: (Constant), Revised Size Class, Current Geographic Class

c. Dependent Variable: Operating Cost Per Diem

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>




any variable used.

Syntax REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT impatipd









Plots

0 bytes







to-remove >= .100).




to-remove >= .100).




to-remove >= .100).

4 Current Size Class . Stepwise (Criteria:



to-remove >= .100).

5 Wage Index . Stepwise (Criteria:



to-remove >= .100).




to-remove >= .100).

a. Dependent Variable: Indirect Patient Care Per Diem

Model Summary


1 .443a .196 .195 $13.133

2 .546b .299 .296 $12.278

3 .608c .369 .366 $11.653

4 .625d .391 .387 $11.458

5 .635e .403 .398 $11.357

6 .641f .411 .405 $11.288

a. Predictors: (Constant), Nurse Ratio

b. Predictors: (Constant), Nurse Ratio, Percent Medicaid

c. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy

d. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class

e. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class, Wage

Index

f. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class, Wage

Index, Ownership Type

ANOVAg


1 Regression 24297.252 1 24297.252 140.872 .000a

Residual 99691.965 578 172.477

Total 123989.217 579

2 Regression 37012.908 2 18506.454 122.772 .000b

Residual 86976.310 577 150.739

Total 123989.217 579

3 Regression 45770.161 3 15256.720 112.349 .000c

Residual 78219.056 576 135.797

Total 123989.217 579

4 Regression 48493.421 4 12123.355 92.335 .000d

Residual 75495.796 575 131.297

Total 123989.217 579

5 Regression 49951.890 5 9990.378 77.454 .000e

Residual 74037.327 574 128.985

Total 123989.217 579

6 Regression 50981.926 6 8496.988 66.689 .000f

Residual 73007.291 573 127.412

Total 123989.217 579




d. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class

e. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class, Wage Index

f. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class, Wage Index, Ownership Type

g. Dependent Variable: Indirect Patient Care Per Diem

Coefficientsa

Model



1 (Constant) 17.955 2.609 6.881 .000

Nurse Ratio 23.546 1.984 .443 11.869 .000

2 (Constant) 41.142 3.511 11.719 .000

Nurse Ratio 18.274 1.941 .344 9.412 .000


3 (Constant) 90.477 6.989 12.946 .000

Nurse Ratio 14.239 1.910 .268 7.455 .000



4 (Constant) 97.498 7.043 13.843 .000

Nurse Ratio 14.454 1.879 .272 7.694 .000



Current Size Class -5.425 1.191 -.149 -4.554 .000

5 (Constant) 68.518 11.091 6.178 .000

Nurse Ratio 13.739 1.874 .258 7.331 .000




Wage Index 31.030 9.228 .111 3.363 .001

6 (Constant) 72.293 11.103 6.511 .000

Nurse Ratio 12.812 1.891 .241 6.775 .000




Wage Index 30.186 9.176 .108 3.290 .001

Ownership Type -3.015 1.061 -.093 -2.843 .005


Excluded Variablesg



Tolerance

1 Wage Index .157a 4.210 .000 .173 .972

CNA Ratio -.073a -1.768 .078 -.073 .808

Total Patient Days -.192a -5.270 .000 -.214 .999

Medicare Days -.036a -.967 .334 -.040 .985

Medicaid Days -.248a -6.813 .000 -.273 .970

Number of Beds -.150a -4.067 .000 -.167 1.000

Building Open Date .011a .296 .767 .012 1.000

Ownership Type -.086a -2.290 .022 -.095 .972

Percent Medicaid -.335a -9.185 .000 -.357 .913

Percent Medicare .151a 4.065 .000 .167 .976

Percent Occupancy -.247a -6.634 .000 -.266 .937




2 Wage Index .124b 3.518 .000 .145 .961

CNA Ratio -.045b -1.170 .243 -.049 .803

Total Patient Days -.129b -3.663 .000 -.151 .953

Medicare Days -.208b -5.503 .000 -.223 .813

Medicaid Days -.077b -1.722 .086 -.072 .601

Number of Beds -.078b -2.192 .029 -.091 .944


Ownership Type -.117b -3.337 .001 -.138 .964


Percent Occupancy -.275b -8.030 .000 -.317 .931




3 Wage Index .111c 3.299 .001 .136 .958

CNA Ratio -.040c -1.074 .283 -.045 .803

Total Patient Days -.072c -2.081 .038 -.086 .905

Medicare Days -.138c -3.672 .000 -.151 .754

Medicaid Days -.018c -.411 .682 -.017 .583

Number of Beds -.086c -2.544 .011 -.105 .943

Building Open Date -.057c -1.604 .109 -.067 .856

Ownership Type -.111c -3.327 .001 -.137 .964


Current Size Class -.149c -4.554 .000 -.187 .984

Revised Size Class -.130c -3.872 .000 -.159 .946

Current Geographic Class .097c 2.908 .004 .120 .970

4 Wage Index .111d 3.363 .001 .139 .958

CNA Ratio -.055d -1.505 .133 -.063 .797

Total Patient Days .032d .759 .448 .032 .582

Medicare Days -.074d -1.725 .085 -.072 .581

Medicaid Days .110d 2.219 .027 .092 .431

Number of Beds .012d .279 .780 .012 .588

Building Open Date -.051d -1.439 .151 -.060 .855

Ownership Type -.097d -2.926 .004 -.121 .954

Percent Medicare -.038d -.850 .396 -.035 .543

Revised Size Class -.044d -.921 .358 -.038 .466

Current Geographic Class .096d 2.909 .004 .121 .970

5 CNA Ratio -.054e -1.494 .136 -.062 .797

Total Patient Days .017e .389 .697 .016 .575

Medicare Days -.069e -1.633 .103 -.068 .580

Medicaid Days .092e 1.862 .063 .078 .426

Number of Beds -.006e -.145 .885 -.006 .579

Building Open Date -.046e -1.325 .186 -.055 .853

Ownership Type -.093e -2.843 .005 -.118 .953

Percent Medicare -.025e -.580 .562 -.024 .540

Revised Size Class -.056e -1.174 .241 -.049 .463

Current Geographic Class .037e .827 .408 .035 .510

6 CNA Ratio -.057f -1.590 .112 -.066 .796

Total Patient Days .014f .325 .745 .014 .575

Medicare Days -.042f -.969 .333 -.040 .545

Medicaid Days .088f 1.797 .073 .075 .426

Number of Beds -.012f -.279 .780 -.012 .577

Building Open Date -.025f -.690 .491 -.029 .807

Percent Medicare .016f .354 .724 .015 .483

Revised Size Class -.055f -1.173 .241 -.049 .463

Current Geographic Class .042f .930 .353 .039 .509

a. Predictors in the Model: (Constant), Nurse Ratio

b. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid

c. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy

d. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class

e. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class, Wage Index

f. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Current Size Class, Wage Index, Ownership Type

g. Dependent Variable: Indirect Patient Care Per Diem

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>




any variable used.

Syntax REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT impatipd

/METHOD=STEPWISE Size SizeGroup1 SizeGroup2






Plots

0 bytes







to-remove >= .100).

2 Current Size Class . Stepwise (Criteria:



to-remove >= .100).


Model Summary


1 .227a .051 .050 $14.264

2 .306b .093 .090 $13.958

a. Predictors: (Constant), Wage Index

b. Predictors: (Constant), Wage Index, Current Size Class

ANOVAc


1 Regression 6384.663 1 6384.663 31.379 .000a

Residual 117604.554 578 203.468

Total 123989.217 579

2 Regression 11575.704 2 5787.852 29.708 .000b

Residual 112413.513 577 194.824

Total 123989.217 579


b. Predictors: (Constant), Wage Index, Current Size Class

c. Dependent Variable: Indirect Patient Care Per Diem

Coefficientsa

Model



1 (Constant) -9.943 10.404 -.956 .340

Wage Index 63.560 11.347 .227 5.602 .000

2 (Constant) 4.286 10.547 .406 .685

Wage Index 62.603 11.104 .224 5.638 .000



Excluded Variablesc



Tolerance

1 Number of Beds -.164a -4.097 .000 -.168 .995

Current Size Class -.205a -5.162 .000 -.210 1.000



2 Number of Beds -.061b -1.204 .229 -.050 .616



a. Predictors in the Model: (Constant), Wage Index

b. Predictors in the Model: (Constant), Wage Index, Current Size Class

c. Dependent Variable: Indirect Patient Care Per Diem

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>




any variable used.

Syntax REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT impatdpd









Plots

0 bytes







to-remove >= .100).




to-remove >= .100).




to-remove >= .100).




to-remove >= .100).

5 CNA Ratio . Stepwise (Criteria:



to-remove >= .100).

6 Medicaid Days . Stepwise (Criteria:



to-remove >= .100).

7 Number of Beds . Stepwise (Criteria:



to-remove >= .100).

a. Dependent Variable: Direct Patient Care Per Diem

Model Summary


1 .525a .275 .274 $10.494

2 .562b .315 .313 $10.209

3 .594c .353 .350 $9.932

4 .607d .368 .364 $9.824

5 .617e .381 .376 $9.733

6 .626f .392 .385 $9.658

7 .631g .399 .391 $9.611




d. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type

e. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA

Ratio

f. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA

Ratio, Medicaid Days

g. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA

Ratio, Medicaid Days, Number of Beds

ANOVAh


1 Regression 24194.598 1 24194.598 219.703 .000a

Residual 63651.683 578 110.124

Total 87846.280 579

2 Regression 27705.172 2 13852.586 132.903 .000b

Residual 60141.108 577 104.231

Total 87846.280 579

3 Regression 31026.705 3 10342.235 104.843 .000c

Residual 56819.575 576 98.645

Total 87846.280 579

4 Regression 32348.792 4 8087.198 83.790 .000d

Residual 55497.489 575 96.517

Total 87846.280 579

5 Regression 33465.073 5 6693.015 70.646 .000e

Residual 54381.207 574 94.741

Total 87846.280 579

6 Regression 34400.090 6 5733.348 61.468 .000f

Residual 53446.190 573 93.274

Total 87846.280 579

7 Regression 35014.312 7 5002.045 54.156 .000g

Residual 52831.968 572 92.364

Total 87846.280 579




d. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type

e. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA Ratio

f. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA Ratio, Medicaid Days

g. Predictors: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA Ratio, Medicaid Days, Number of Beds

h. Dependent Variable: Direct Patient Care Per Diem

Coefficientsa

Model



1 (Constant) 57.795 2.085 27.718 .000

Nurse Ratio 23.497 1.585 .525 14.822 .000

2 (Constant) 69.978 2.919 23.971 .000

Nurse Ratio 20.726 1.614 .463 12.838 .000


3 (Constant) 100.362 5.957 16.848 .000

Nurse Ratio 18.241 1.628 .407 11.206 .000



4 (Constant) 104.223 5.984 17.418 .000

Nurse Ratio 17.191 1.635 .384 10.514 .000



Ownership Type -3.397 .918 -.125 -3.701 .000

5 (Constant) 95.811 6.415 14.935 .000

Nurse Ratio 14.609 1.786 .326 8.179 .000



Ownership Type -3.276 .910 -.121 -3.600 .000

CNA Ratio 4.118 1.200 .126 3.433 .001

6 (Constant) 99.272 6.458 15.371 .000

Nurse Ratio 14.229 1.776 .318 8.011 .000



Ownership Type -3.348 .903 -.123 -3.707 .000

CNA Ratio 4.160 1.190 .127 3.495 .001

Medicaid Days .000 .000 .135 3.166 .002

7 (Constant) 112.085 8.124 13.798 .000

Nurse Ratio 14.313 1.768 .320 8.096 .000



Ownership Type -3.357 .899 -.124 -3.735 .000

CNA Ratio 4.147 1.184 .127 3.501 .000

Medicaid Days .000 .000 .429 3.528 .000

Number of Beds -.062 .024 -.246 -2.579 .010


Excluded Variablesh



Tolerance

1 Wage Index .051a 1.430 .153 .059 .972

CNA Ratio .108a 2.769 .006 .115 .808

Total Patient Days -.010a -.273 .785 -.011 .999

Medicare Days -.016a -.442 .659 -.018 .985

Medicaid Days -.075a -2.084 .038 -.086 .970

Number of Beds .020a .553 .581 .023 1.000

Building Open Date .010a .296 .768 .012 1.000

Ownership Type -.110a -3.075 .002 -.127 .972

Percent Medicaid -.209a -5.804 .000 -.235 .913

Percent Medicare .032a .879 .380 .037 .976

Percent Occupancy -.183a -5.120 .000 -.208 .937

Current Size Class .008a .213 .831 .009 .999

Revised Size Class .013a .376 .707 .016 .999


2 Wage Index .030b .857 .392 .036 .961

CNA Ratio .127b 3.325 .001 .137 .803

Total Patient Days .035b .988 .324 .041 .953

Medicare Days -.121b -3.198 .001 -.132 .813

Medicaid Days .081b 1.837 .067 .076 .601

Number of Beds .071b 2.002 .046 .083 .944


Ownership Type -.130b -3.734 .000 -.154 .964


Percent Occupancy -.202b -5.803 .000 -.235 .931

Current Size Class .028b .820 .412 .034 .989

Revised Size Class .063b 1.778 .076 .074 .946


3 Wage Index .020c .589 .556 .025 .958

CNA Ratio .131c 3.538 .000 .146 .803

Total Patient Days .084c 2.383 .017 .099 .905

Medicare Days -.068c -1.771 .077 -.074 .754

Medicaid Days .129c 2.966 .003 .123 .583

Number of Beds .065c 1.892 .059 .079 .943

Building Open Date -.026c -.709 .479 -.030 .856

Ownership Type -.125c -3.701 .000 -.153 .964


Current Size Class .042c 1.238 .216 .052 .984

Revised Size Class .059c 1.722 .086 .072 .946

Current Geographic Class .030c .879 .380 .037 .970

4 Wage Index .016d .478 .633 .020 .957

CNA Ratio .126d 3.433 .001 .142 .802

Total Patient Days .089d 2.558 .011 .106 .904

Medicare Days -.033d -.837 .403 -.035 .701

Medicaid Days .133d 3.097 .002 .128 .582

Number of Beds .068d 1.998 .046 .083 .943

Building Open Date .006d .163 .871 .007 .808

Percent Medicare -.103d -2.193 .029 -.091 .492

Current Size Class .055d 1.637 .102 .068 .974

Revised Size Class .069d 2.017 .044 .084 .941

Current Geographic Class .030d .894 .372 .037 .970

5 Wage Index .017e .512 .609 .021 .957

Total Patient Days .091e 2.635 .009 .109 .903

Medicare Days -.021e -.531 .596 -.022 .696

Medicaid Days .135e 3.166 .002 .131 .582

Number of Beds .069e 2.059 .040 .086 .943

Building Open Date .017e .461 .645 .019 .802

Percent Medicare -.094e -2.000 .046 -.083 .490

Current Size Class .065e 1.955 .051 .081 .967

Revised Size Class .074e 2.184 .029 .091 .939

Current Geographic Class .030e .911 .363 .038 .970

6 Wage Index .007f .200 .842 .008 .948

Total Patient Days -.162f -1.357 .175 -.057 .075

Medicare Days -.105f -2.368 .018 -.099 .533

Number of Beds -.246f -2.579 .010 -.107 .115

Building Open Date .027f .749 .454 .031 .796

Percent Medicare -.093f -2.008 .045 -.084 .490

Current Size Class .016f .405 .685 .017 .715

Revised Size Class -.021f -.396 .692 -.017 .379

Current Geographic Class .020f .593 .554 .025 .960

7 Wage Index .009g .258 .796 .011 .947

Total Patient Days .218g 1.119 .264 .047 .028

Medicare Days -.071g -1.462 .144 -.061 .448

Building Open Date .025g .674 .501 .028 .795

Percent Medicare -.085g -1.823 .069 -.076 .487

Current Size Class .077g 1.789 .074 .075 .565

Revised Size Class .106g 1.566 .118 .065 .230

Current Geographic Class .018g .557 .578 .023 .959

a. Predictors in the Model: (Constant), Nurse Ratio

b. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid

c. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy

d. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type

e. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA Ratio

f. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA Ratio, Medicaid Days

g. Predictors in the Model: (Constant), Nurse Ratio, Percent Medicaid , Percent Occupancy, Ownership Type, CNA Ratio, Medicaid Days, Number of Beds

h. Dependent Variable: Direct Patient Care Per Diem

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>




any variable used.

Syntax REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT impatdpd

/METHOD= STEPWISE Size SizeGroup1 SizeGroup2






Plots

0 bytes







to-remove >= .100).


Model Summary


1 .138a .019 .017 $12.210


ANOVAb


1 Regression 1672.406 1 1672.406 11.217 .001a

Residual 86173.875 578 149.090

Total 87846.280 579


b. Dependent Variable: Direct Patient Care Per Diem

Coefficientsa

Model



1 (Constant) 58.239 8.906 6.539 .000

Wage Index 32.530 9.713 .138 3.349 .001


Excluded Variablesb



Tolerance

1 Number of Beds .013a .319 .750 .013 .995

Current Size Class -.003a -.066 .948 -.003 1.000

Revised Size Class .022a .534 .594 .022 .999


a. Predictors in the Model: (Constant), Wage Index

b. Dependent Variable: Direct Patient Care Per Diem

3-geographic cost variation analysis for medicaid nursing...

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