Rural Urgent Care Centers Business Plan I. Executive Summary II. Program Overview Location Services Other Professional Offerings Facility Operating Model III. Market Profile Market Overview Demand Forecasting IV. Financial Analysis Pro-Forma Income Statement for UCC (A “Week 11 Business Plan Excel Template” has been provided in the assignment instructions and in the Learning Resources). 2 Year 1Year 2Year 3Year 4Year 5 Visits4,8825,1265,3825,6525,934 Revenue Per Visit$450$450$450$450$450 Gross Revenue Patient Reveue Gross Patient Revenue Deductions from Patient Revenue Contractual Total Deductions from Revenue Net Patient Revenue$0$0$0$0$0 Operating Expenses Salaries and Wages Employee Benefits Utilities Repair/Maintenance Housekeeping Telephone Service Depreciation Malpractice Miscellaneous/Other Variable Medical Supply Costs Other Non-Personnel Costs Total Operating Expenses Excess of Rev over Exp. From Operations$0$0$0$0$0 Cummulative Income$0$0$0$0$0 Net Cash from Excess Rev (excl Depreciation)$0$0$0$0$0 Cummulative Income Net Cash$0$0$0$0$0 Pro Forma Income Statement DIRECTIONS: Respond to another student discussion on odds in logistic regression.Respond  by evaluating the learner's response. Do you agree or disagree? Why? Do you consider this a good answer to the question? Why or why not? PLEASE CITE REFERENCES Robert Laukaitis U05D1 - Interpretation of Odds - R. Laukaitis Top of Form U05D1 – Binary Logistic Regression Odds in logistic regression represent the probability of an event occurring compared to the probability of an event not occurring (George & Mallery, 2013; Warner, 2013). In order to provide an example, an article provided by Szumilas (2010) summarized the following scenario: 186 of the 263 adolescents previously judged as having experienced a suicidal behaviour requiring immediate psychiatric consultation did not exhibit suicidal behaviour (non-suicidal, NS) at six months follow-up. Of this group, 86 young people had been assessed as having depression at baseline. Of the 77 young people with persistent suicidal behaviour at follow-up (suicidal behaviour, SB), 45 had been assessed as having depression at baseline. (para. 6) The hypotheses for this example might state: H0: There is no relationship between depression and suicidal behavior in young people. Ha: There is a relationship between depression and suicidal behavior in young people. Calculations The scenario data was recreated in SPSS (IBM, 2016) and analyzed. Warner (2013) suggested that starting with an odds ratio table would help present data that could help make a decision about H0. Table 1 represents the 2×2 odds ratio table to begin the analysis. Table 1 Odds example Suicidal Behavior (SB) (Y=0) Non-suicidal Behavior (NS) (Y=1) Total (N) Depression (X=0) 45 (34.4%) 32 (24.2%) 77 No Depression (X=1) 86 (65.6%) 100 (75.8%) 186 Total (N) 131 132 263 Odds for suicidal behavior with depression, suicidal behavior .

1. Rural Urgent Care Centers Business Plan
I. Executive Summary
II. Program Overview
Location
Services
Other Professional Offerings
Facility
Operating Model
III. Market Profile
Market Overview
Demand Forecasting
IV. Financial Analysis
Pro-Forma Income Statement for UCC
(A “Week 11 Business Plan Excel Template” has been provided
in the assignment instructions and in the Learning Resources).

2. 2
Year 1Year 2Year 3Year 4Year 5
Visits4,8825,1265,3825,6525,934
Revenue Per Visit$450$450$450$450$450
Gross Revenue
Patient Reveue
Gross Patient Revenue
Deductions from Patient Revenue
Contractual
Total Deductions from Revenue
Net Patient Revenue$0$0$0$0$0
Operating Expenses
Salaries and Wages
Employee Benefits
Utilities
Repair/Maintenance
Housekeeping
Telephone Service
Depreciation
Malpractice
Miscellaneous/Other
Variable Medical Supply Costs
Other Non-Personnel Costs
Total Operating Expenses
Excess of Rev over Exp. From Operations$0$0$0$0$0
Cummulative Income$0$0$0$0$0
Net Cash from Excess Rev (excl Depreciation)$0$0$0$0$0
Cummulative Income Net Cash$0$0$0$0$0
Pro Forma Income Statement
DIRECTIONS:
Respond to another student discussion on odds in logistic
regression.Respond by evaluating the learner's response. Do

3. you agree or disagree? Why? Do you consider this a good
answer to the question? Why or why not?
PLEASE CITE REFERENCES
Robert Laukaitis
U05D1 - Interpretation of Odds - R. Laukaitis
Top of Form
U05D1 – Binary Logistic Regression
Odds in logistic regression represent the probability of an event
occurring compared to the probability of an event not occurring
(George & Mallery, 2013; Warner, 2013). In order to provide an
example, an article provided by Szumilas (2010) summarized
the following scenario:
186 of the 263 adolescents previously judged as having
experienced a suicidal behaviour requiring immediate
psychiatric consultation did not exhibit suicidal behaviour (non-
suicidal, NS) at six months follow-up. Of this group, 86 young
people had been assessed as having depression at baseline. Of
the 77 young people with persistent suicidal behaviour at
follow-up (suicidal behaviour, SB), 45 had been assessed as
having depression at baseline. (para. 6)
The hypotheses for this example might state:
H0: There is no relationship between depression and suicidal
behavior in young people.
Ha: There is a relationship between depression and suicidal
behavior in young people.
Calculations
The scenario data was recreated in SPSS (IBM, 2016) and
analyzed. Warner (2013) suggested that starting with an odds
ratio table would help present data that could help make a
decision about H0. Table 1 represents the 2×2 odds ratio table
to begin the analysis.
Table 1
Odds example

4. Suicidal Behavior (SB) (Y=0)
Non-suicidal Behavior (NS) (Y=1)
Total (N)
Depression (X=0)
45 (34.4%)
32 (24.2%)
77
No Depression (X=1)
86 (65.6%)
100 (75.8%)
186
Total (N)
131
132
263
Odds for suicidal behavior with depression, suicidal behavior
without depression, non-suicidal behavior with depression and
non-suicidal behavior without depression.
The odds in Table 1 were calculated by calculating the odds that
an individual with depression (n=131) had suicidal behavior:
45/131= 34.4%. Next, those with no depression is assumed by
calculating the remaining balance of those having suicidal
behavior: 1 (100%)-.344 (34.4%) = .656 (65.6%). The same
approach was used to calculate those with non-suicidal
behavior: 32/132=.242 (24.2%) with the residual representing
those with non-suicidal behavior and no diagnosis of
depression: 1 (100%)-.242 (24.2%)=.758 (75.8%). Table 2
represents the χ2 test for independence between the frequency
of participants having depression and those having suicidal
behaviors. In Table 2, the Pearson χ2 results indicated that there
was not a significant relationship between those participants
diagnosed with depression and exhibiting suicidal behaviors ( χ
2 (1) = 3.245, p > 0.05). Therefore, H0 is accepted.
Table 2
Chi-Square Tests

5. Value
df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square
3.245a
1
.072
Continuity Correctionb
2.775
1
.096
Likelihood Ratio
3.256
1
.071
Fisher's Exact Test
.079
.048
Linear-by-Linear Association
3.232
1
.072

6. N of Valid Cases
263
a. 0 cells (0.0%) have expected count less than 5. The minimum
expected count is 38.35.
b. Computed only for a 2×2 table
In order to understand the effect size, phi (φ) was calculated to
determine the goodness of fit (Warner, 2013). The effect size
was calculated as Cramer's V. According to Warner (2013), the
effect size is equal to:
In this case, the df = 1 with φ = .111 represents a relatively
small effect size.
Table 3
Symmetric Measures
Value
Approx. Sig.
Nominal by Nominal
Phi
.111
.072
Cramer's V
.111
.072
N of Valid Cases
263
Odds versus Odds Ratio
Warner (2013) suggested that the concept of odds represented

7. the probability of an event occurring and the probability of an
event not occurring. Using the example in Table 1, the odds of
an individual being diagnosed with depression and displaying
suicidal behavior: 34.4%/65.6% ≈ 1:2. The odds of an
individual being diagnosed with depression and not displaying
suicidal behavior: 24.2/75.8 ≈ 1:3. This indicated that an
individual being diagnosed with depression was 1.5 times more
likely to display suicidal behavior than an individual not
diagnosed with depression. However, Warner (2013) odds ratio
for depression is calculated using the depression row (X=0) and
the non-depression row (X=1). These two numbers computed as
a ratio represent the odds ratio:
(X=0;Y=0)/(X=0;Y=1)
(X=1;Y=0)/(X=1;Y=1)
This would be calculated as 45/32 86/100 = 1.41 .86 = 1.64 his
would indicate that a one unit increase in those diagnosed with
depression displaying suicidal behavior is equal to 1.64 unit
increase in those not diagnosed with depression exhibiting
suicidal behavior.
References
IBM. (2016). Statistical Package for the Social Sciences (SPSS)
software. Retrieved Feb 28, 2016, from www.IBM.com:
http://www-01.ibm.com/software/analytics/spss/
Szumilas, M. (2010). Explaining odds ratios. Journal of the
Canadian Academy of Child and Adolescent Psychiatry, 19(3),
227-229. Retrieved from
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938757/
Warner, R. M. (2013). Applied statistics: From bivariate
through multivariate techniques (2nd ed.). Thousand Oaks, CA:
Sage. Retrieved from
http://online.vitalsource.com/books/9781452268705
Executive Summary, Overview, and Financial Data for
Investmentin the Rural Urgent Care Center

8. I. Executive Summary
Urgent care is the delivery of ambulatory care in a facility
dedicated to the delivery of unscheduled, walk-in care outside
of a hospital emergency department. Development of the Rural
Urgent Care (RUC) facility in Sylacauga, Alabama will
facilitate access to care providers through extended service
hours within closer geographic proximity to patients, families,
and caregivers. The Director of Emergency Services will
provide clinical monitoring to ensure quality service provisions.
The RUC facility will act to alleviate demand for emergency
department (ED) services by shifting lower acute patients to a
less resource-intensive environment.
II. Program Overview: Market Opportunities and Utilization
Patterns
The RUC will provide treatment to patients suffering from non-
life-threatening conditions that require quick attention,
including bone fractures, pneumonia and flu, and minor
lacerations. Since the late 1980s and early 1990s, hospitals have
looked to facilities such as RUCs as a means to reduce rates of
inappropriate ED utilization by triaging non-emergent patients
to less acute settings. The ED is not the most appropriate care
setting for many patients. Non-urgent patients account for well
over 10 percent of the average ED’s caseload, and semi-urgent
cases account for another 20 percent (refer to Figure
1)[footnoteRef:1]. At the other end of the acuity spectrum, most
emergent patients would be better served in an inpatient unit,
but many are forced to board in the ED because beds are
unavailable. [1: Centers for Disease Control, National
Hospital Ambulatory Care Survey. Advisory Board Company.
Washington, D.C.]

9. Figure 1
Triaging patients to an appropriate site of care properly
allocates resources to meet patient acuity and results in better
clinical outcomes. RUC staffing and treatment approaches are
fundamentally different from those in an ED; patients get more
abbreviated and pointed clinical work-ups, which provides care
more efficiently by clinicians who are oriented to less intense
discovery and intervention.
The RUC will also address community needs for convenient,
reliable access to care. Current alternatives to RUCs include the
ED, which like other comparable U.S. and U.K. EDs, has long
wait times and potentially stressful patient environments.
Decreasing wait times is positively correlated with better
outcomes.
Figure 2
Services
To meet the needs of the community and provide the appropriate
level of care without unnecessary duplication of a resource-
intensive emergency department, the RUC will provide basic
emergent procedures, diagnoses, and treatments.
· Nursing triage
· Physician assessments
· Minor procedures
· Basic lab services
· Basic diagnostic imaging
· Vital signs
· IV therapy
· EKG
· Wound care

10. The potential to house ambulance services out of the RUC
provides additional requirements and opportunities. To
accommodate the needs of the EMS crew, multiple waiting
room/bunk rooms will be added to the facility, as well as a
separate entry point for the ambulance service. Supplies will
also be warehoused at RUC for easy restocking of ambulances.
The RUC can also be part of the disaster-planning strategy by
providing easy access to needed equipment and supplies during
emergencies.
Other Potential Offerings
The RUC could offer opportunities to leverage the convenient
retail setting to provide additional revenue-generating clinical
services. For example, Occupational Safety Testing could be
provided utilizing a secure bathroom to provide basic drug
testing. Currently, the service is offered at the hospital, but is
much better suited for a freestanding center.
The RUC's diagnostic lab and x-ray services could also be
offered on a referral basis for local GPs, providing a more
convenient location for these services than the hospital and
creating greater access to care.
Yearly Staffing Costs by Clinical Lead Model

11. Facility
Facility design must meet the needs of clinicians and
consumers. Consumers invariably associate the quality of
healthcare services with the aesthetics of the site of care. The
facility will be designed to blend into the local architecture to
be a part of both the eastern and western communities. The RUC
will have the following basic space layout:
Facility Description
Space Description
Quantity
Square Feet Per Room
Total Space
Central nursing/Physician station
1
500
500
Exam rooms
5
100
500
Treatment room
1

12. 150
150
Radiology room
1
200
200
Staff offices
2
100
200
Reception/waiting area
1
400
400
Employee break room
1
250
250
Medical records
1
250
250
Laboratory
1
200
200
Restrooms
3
50
150
EMS facilities
2
80
160
Utility rooms
2

13. 150
300
Subtotal: Usable Square Footage
3,260
Circulation, mechanical, telecom/IT, other space
915
Total Facility Size
4,175
Operating Model
The RUC will open after the normal working hours of local
physicians. These operating hours also align with the peak ED
visit times, which significantly trail off after midnight.
III. Market Profile
Market Overview
Define your service area.
RUC Service Area

14. Area
3 years ago
2 years
ago
1 year
ago
Number of persons in RUC service area
Total
64,009
64,209
64,395
Demand Forecasting
Adjusted Demand of Services Forecast
IV. Financial Analysis
Capital Requirements
To estimate the total funds required for launch prior to
commencement of operations, the hospital has developed the
following assessment of anticipated expenses related to the
building of a single RUC with 3,260 sq. ft. of usable space and

15. 4,175 gross sq. ft., as described in an earlier section relating to
facility design and a basic review of expected equipment costs.
Capital Requirements per RUC Site
Total Construction Cost
$3,246,605
Contingencies,
Professional Fees,
Management & Overhead,
Equipment
$2,216,341
Total Project Costs
$5,462,946
Construction Costs per Square Foot
$777.63
Project Costs per Square Foot
$1,308.49
Square Footage
4,175
Reimbursement Model
The RUC will charge a flat per-visit fee of $450, based on
similar current hospital ED visit charges. This rate will stay
constant. Contractual discounts for insurance is 30% of gross
patient revenue.

16. Expenses
Services Offered
Nursing Triage
Physician Assessments
Potential Diagnoses
· Common illness
· Respiratory illness
· Allergies

17. · Bladder infections
· Eye/ear/sinus infection
· Strep throat
· Mononucleosis
· Pregnancy testing
· Skin rashes
· Sport injuries/sprains/strains
General Services
Monitoring Services
· Emergency transfer to KEMH
· Vital signs
· IV therapy (antibiotic, hydration)
· EKG
· Wound care
· Immunizations, TD, Pneumovax, Flu Vaccines
Minor Procedures
· Incision and draining of abscess
· Excision of skin
· Aspiration of cyst
· Sutures
Lab Services
· Blood
· Urine
· Other
Diagnostic Imaging
· Ultrasound
· X-ray
© 2015 Laureate Education, Inc. Page 5 of 7

18. Year4,8825,1265,3825,6525,934
Month407427449471495
Week9499104109114
Day1314151616
Visit volume will increase by 5% each year
Service AreaVisitsYear 1Year 2Year 3Year 4Year 5
OPERATING COSTS
Utilities$208,750
Repair/Maintenance$40,500
Housekeeping$20,000
Telephone Service$16,806
Depreciation$32,000
Malpractice$50,000
Miscellaneous/Other$20,000
SUPPLIES
Medical Supply Costs$65,767
Other Non-Personnel Costs$95,351
All expenses listed to increase by 3% per year.
PositionFTEsSalary/Year/FTE
Physicians
1$ 200,000$
Nurse Practitioners
2$ 85,000$
Nurse
2$ 60,000$
Radiology Technician
1$ 45,000$
Assistant/Receptionist
3$ 30,000$
**** Benefits are assumed to be 25% of Salaries
Salaries will increase 3% each year.