Exercise #5
For this week exercise, we need to try a few logit models (see this link for more information:
LOGIT REGRESSION
)
If you have chosen to work with Excel, please run above three models and complete the following tables.
Model 1
: Run a regression model and use being a member of network and find out its impact on hospital cost? (Model 1)
Model 2
: For the 2nd model run a regression model and use being a member of network and find out its impact on hospital cost and hospital revenue? (Model 2)
Model 3
: For the 3rd model run a regression model and use being a member of network and find out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge.
Based on your finding please recommend 3 policies and discuss the impact of being on a network on hospital cost, hospital revenue and out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Do you recommend keeping membership for a hospital? Why or why not?
If you have decided to use RStudio:
Model 1
Run a logit model and use being a member of network and find out its impact on hospital ownership and hospital beds? (Model 1)
Model 2
Now, include hospital income and report the Coeff.? (Model 2)
Model 3
Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in your model? And keep all variables you used for models 1, 2 & 3 and discuss your findings? Do you recommend keeping membership for a hospital? Why or why not? (Model 3)
Based on your finding please recommend 3 policies to improve hospital performance in FP, NFP hospitals, please make sure to use the final model for your recommendation.
Download data: The data is the same data you have used for previous exercises
Codes:
E5-codes
Questions:
All exercises questions
University of Maryland Global College (Updated: 7/6/2020)
HMGT 400 Research and Data Analysis in Health Care-Exercise
Dataset: HMGTHOSP.csv (Please download dataset from the class.
Required program: RStudio or R Programming.
Author, Hossein Zare, PhD
Citation: Zare, H. (2017). HMGT 400 7980 Research and Data Analysis in Health Care-Exercise. UMGC.EDU
For each week exercise, For the RStudio codes and a video, please follow the class announcement page.
Exercise #1:
The attached dataset, provides some information about hospitals in 2011 and 2012, download the data and then
complete the descriptive table. Please use the following format to report your findings.
Table 1. Descriptive statistics between hospitals in 2011 & 2012
Hospital Characteristics
1. Hospital beds
2. Number of paid Employee
3. Number of non-paid Employee
4. Total hospital cost
5. Total hospital revenues
6. Available Medicare days
7. Available Medicaid days
8. Total Hospital Discharge
9. Medicare discharge
10. Medicaid discharge
N
2011
Mean
St. Dev
N
2012
Mean
St. Dev
p-value
Based on your findings in which years hospitals had better performance? Please write a short paragraph and describe
your findings.
(Note: Master RStudio script is available for this exercise, but you may need to modify that for this analysis)
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 1
Exercise #2:
Use the dataset from week1 exercise and then answer the following questions:
1) Compare the following information between teaching and non-teaching hospitals.
2) What are the main significant differences between teaching and non-teaching hospitals? (use ttest)
3) Comparing hospital net-benefit which hospitals has better performance? To answer this question first
compute the hospital net benefits with subtracting hospital costs and revenues and then use ttest to
compare the significant differences between teaching and non-teaching hospitals.
4) Use a box-plot and compare hospitals-cost and hospital-revenues between teaching and non-teaching
hospitals.
5) Write a short paragraph and describe your findings.
Table 2. Descriptive statistics between teaching and non-teaching hospitals, 2011 & 2012
Hospital Characteristics
1. Hospital beds
2. Number of paid Employee
3. Number of non-paid Employee
4. Internes and Residents
5. System Membership
N
Teaching
Mean
St. Dev
N
Non-Teaching
Mean
St. Dev
p-value
6. Total hospital cost
7. Total hospital revenues
8. Hospital net benefit
9. Available Medicare days
10. Available Medicaid days
11. Total Hospital Discharge
12. Medicare discharge
13. Medicaid discharge
(Note: Master RStudio script is available for this exercise, but you may need to modify that for this analysis)
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 2
Exercise #3:
The dataset provides Herfindahl–Hirschman Index, and herfindahel index categories, please use the herf_cat
variable and answer the following questions:
Note: “The Herfindahl–Hirschman Index is a commonly accepted measure of market concentration used by antitrust
enforcement agencies and scholars in the field. The HHI is calculated by squaring the market share of each firm
competing in the market and then summing the resulting numbers” (NASI, 2015; pp: 14-16). read more from here:
https://www.urban.org/sites/default/files/publication/50116/2000212-Addressing-Pricing-Power-in-Health-CareMarkets.pdf
For this exercise you do not need to compute the HHI, but if you have any questions, please do not hesitate to ask
me, but try to learn more about this you will need that to report your findings.
Use the dataset from week1 exercise and then answer the following questions:
1) Compare the following information between hospitals located in high, moderate and low competitive
markets? (table 1)
2) What are the main significant differences between hospitals in different markets? (use Anova test)
3) Use the density curves and compare hospitals cost and revenues between three markets.
4) What is the impact of being in high-competitive market on hospital revenues and cost? Do you think
being in high-competitive market has positive impact on net hospital benefits? What about the number
of Medicare and Medicaid discharge? Do you think hospitals in higher completive market more likely
to accept more Medicare and Medicaid patients? What are the impact of other variables? Please discuss
your findings in 1-2 paragraphs.
(Note: to answer to the last question, please compute the ratio-Medicare-discharge and ratio-Medicaiddischarge first and then run 2 ttest) high vs. moderate and high vs. low competitive market), please
support your findings with box-plot).
Table 3. Comparing hospital characteristics and market, 2011 and 2012
Hospital Characteristics
1. Hospital beds
2. Number of paid Employee
3. Number of non-paid
Employee
4. Internes and Residents
5. System Membership
6.
7.
8.
High Competitive
Market
N
Mean
STD
Moderate
Competitive Market
N
Mean
STD
Low Competitive
Market
N
Mean
STD
ANOVA
/Chi-Sq
(results)
Total hospital cost
Total hospital revenues
Hospital net benefit
9. Available Medicare days
10. Available Medicaid days
11. Total Hospital Discharge
12. Medicare discharge
13. Medicaid discharge
14. Herfindahel index
(Note: Master RStudio script is available for this exercise, but you may need to modify that for this analysis)
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 3
Exercise #4
Linear Regression Model
If you have chosen to work with RStudio, please run the following model and complete the following tables.
1st Model:
Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital’s ownership on hospital net-be
nefit? Discuss your finding, do you think having higher beds has positive impact on the hospital net benefit? What about the own
ership?
Model 1a
Coef.
Hospital Characteristics
Hospital beds
Ownership
For Profit
Non-for profit
Other
N
R-Squared
St. Err
2nd Model:
Now, estimate the impact of being a member of a system on hospital net benefit? And discuss your finding (nor more than 2
lines)? Is it significant?
Model 2
Coef.
Hospital Characteristics
Hospital beds
Ownership
For Profit
Non-for profit
Other
Membership
System Membership
N
R-Squared
St. Err
3nd Model:
Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in your model? How do you evaluate
the impact of having higher Medicare and Medicaid patients on hospital revenues?
Hospital Characteristics
Model 3
Coef.
St.
Err
Hospital beds
Ownership
For Profit
Non-for profit
Other
Membership
System Membership
Socio-Economic Characteristics
Medicare discharge ratio
Medicaid discharge ratio
N
R-Squared
Based on your finding please recommend 3 policies to improve hospital performance, please make sure to use the
final model for your recommendation.
Discuss your findings.
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 4
If you have chosen to work with Excel, please run above three models and complete the following tables.
Model 1:
Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital net-benefit in teac
hing hospitals?
Hospital Characteristics
Model-1
Hospital beds
R Square
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Model 2:
Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital net-benefit in non
-teaching hospitals?
Use the results from model 1 and model 2 and compare the results between teaching and non-teaching hospitals.
Hospital Characteristics
Model-2
Hospital beds
R Square
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Model 3:
Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in first model? How do you evaluate
the impact of having higher Medicare and Medicaid patients on hospital net-benefit in teaching hospitals?
Hospital Characteristics
Model-3
Hospital beds
ratio-Medicare-discharge
ratio-Medicaid-discharge
R Square
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Model 4:
Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in first model? How do you evaluate
the impact of having higher Medicare and Medicaid patients on hospital net-benefit in non-teaching hospitals?
Hospital Characteristics
Model-4
Hospital beds
ratio-Medicare-discharge
ratio-Medicaid-discharge
R Square
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Based on your finding please recommend 3 policies to improve hospital performance, please make sure to use the
final model for your recommendation.
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 5
Exercise #5
For this week exercise, we need to try a few logit models (see this link for more information:
https://stats.idre.ucla.edu/r/dae/logit-regression/)
Model 1
Run a logit model and use being a member of network and find out its impact on hospital ownership and hospital
beds? (Model 1)
Hospital Characteristics
Hospital beds
Ownership
For Profit
Non-for profit
Other
N
AIC
Coef.
St. Err
p-value
Model 2
Now, include hospital income and report the Coeff.? (Model 2)
Hospital Characteristics
Hospital beds
Ownership
For Profit
Non-for profit
Other
Hospital Income
N
AIC
Coef.
St. Err
p-value
Model 3
Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in your model? And keep all
variables you used for models 1, 2 & 3 and discuss your findings? Do you recommend keeping membership for a
hospital? Why or why not? (Model 3)
Hospital Characteristics
Hospital beds
Ownership
For Profit
Non-for profit
Other
Hospital Income
Medicare discharge ratio
Medicaid discharge ratio
N
AIC
Coef.
St. Err
p-value
Based on your finding please recommend 3 policies to improve hospital performance in FP, NFP hospitals, please
make sure to use the final model for your recommendation.
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 6
If you have chosen to work with Excel, please run above three models and complete the following tables.
Model 1: Run a regression model and use being a member of network and find out its impact on hospital cost?
(Model 1)
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Model-1
Hospital cost
N
R Square
Model 2: For the 2nd model run a regression model and use being a member of network and find out its impact on
hospital cost and hospital revenue? (Model 2)
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Model-2
Hospital cost
Hospital Revenue
N
R Square
Model 3: For the 3rd model run a regression model and use being a member of network and find out its impact on
ratio-Medicare-discharge and ratio-Medicaid-discharge.
Coef.
ST. ERR
T Stat
P-values
Lower 95%
Upper 95%
Model-3
Hospital cost
Hospital Revenue
Medicare discharge ratio
Medicaid discharge ratio
N
R Square
Based on your finding please recommend 3 policies and discuss the impact of being on a network on hospital cost,
hospital revenue and out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Do you recommend
keeping membership for a hospital? Why or why not?
HMGT 400 Research and Data Analysis in Health Care-Exercise, page 7
Order an Essay Now & Get These Features For Free:
Turnitin Report
Formatting
Title Page
Citation
Outline
