Writing
UMUC Comparing Average between Acute Care and Not Acute Care Hospitals Paper

University of Maryland Global Campus

Question Description

I’m working on a Management question and need guidance to help me study.

For this assignment, students should choose data from the quantitative analysis below and are asked to analyze it using Excel, RStuido (BONUS points)

Data set:

Minnesota Healthcare Database.xlsx

Medicare National Data by County

MN Hospital Report Data by Care Unit FY2013

MN HCCIS Imaging Procedures 2013

MEPS Dental Files

MEPS Inpatient Stay Database

Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.

Here are the main steps for this assignment.

Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.

Step 2: Develop the research question and

Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.

The Report Structure:

Start with the

1.Cover page (1 page, including running head).

Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umgc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.

In the title page include:

  • Title, this is the approved topic by your instructor.
  • Student name
  • Class name
  • Instructor name
  • Date

2.Introduction

Introduce the problem or topic being investigated. Include relevant background information, for example;

  • Indicates why this is an issue or topic worth researching;
  • Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
  • Specify how others have operationalized this concept and measured these phenomena

Note: Introduction should not be more than one or two paragraphs.

Literature Review

There is no need for a literature review in this assignment

3.Research Question or Research Hypothesis

What is the Research Question or Research Hypothesis?

***Just in time information: Here are a few points for Research Question or Research Hypothesis

There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.

Examples of non-testable questions are:

How do managers feel about the reorganization?

What do residents feel are the most important problems facing the community?

Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.

In order to overcome this problem, researchers often seek to answer one or more testable research questions. Nearly all testable research questions begin with one of the following two phrases:

Is there a significant difference between ...?

Is there a significant relationship between ...?

For example:

Is there a significant relationship between the age of managers? and their attitudes towards the reorganization?

A research hypothesis is a testable statement of opinion. It is created from the research question by replacing the words "Is there" with the words "There is," and also replacing the question mark with a period. The hypotheses for the two sample research questions would be:

There is a significant relationship between the age of managers and their attitudes towards the reorganization.

It is not possible to test a hypothesis directly. Instead, you must turn the hypothesis into a null hypothesis. The null hypothesis is created from the hypothesis by adding the words "no" or "not" to the statement. For example, the null hypotheses for the two examples would be:

There is no significant relationship between the age of managers

and their attitudes towards the reorganization.

There is no significant difference between white and minority residents

with respect to what they feel are the most important problems facing the community.

All statistical testing is done on the null hypothesis...never the hypothesis. The result of a statistical test will enable you to either:

1) reject the null hypothesis, or

2) fail to reject the null hypothesis. Never use the words "accept the null hypothesis."

*Source: StatPac for Windows Tutorial. (2017). User's Guide; Formulating Hypotheses from Research Questions. Retrieved May 17, 2019 from https://statpac.com/manual/index.htm?turl=formulatinghypothesesfromresearchquestions.htm

What does significance really mean?

“Significance is a statistical term that tells how sure you are that a difference or relationship exists. To say that a significant difference or relationship exists only tells half the story. We might be very sure that a relationship exists, but is it a strong, moderate, or weak relationship? After finding a significant relationship, it is important to evaluate its strength. Significant relationships can be strong or weak. Significant differences can be large or small. It just depends on your sample size.

To determine whether the observed difference is statistically significant, we look at two outputs of our statistical test:

P-value: The primary output of statistical tests is the p-value (probability value). It indicates the probability of observing the difference if no difference exists.

Example of Welch Two Sample T-test from Exercise 1

The p-value from above example, 0.9926, indicates that we DO NOT expect to see a meaningless (random) difference of 5% or more in ‘hospital beds’ only about 993 times in 1000 there is no difference (0.9926*1000=992.6 ~ 993).

Note: This is an example from the week1 exercise.

An example from Exercise 1

The p-value from above example, 0.0001, indicates that we’d expect to see a meaningless (random) ‘number of the employees on payer’ difference of 5% or more only about 0.1 times in 1000 (0.0001 * 1000=0.1).

CI around Difference: A confidence interval around a difference that does not cross zero also indicates statistical significance. The graph below shows the 95% confidence interval around the difference between hospital beds in 2011 and 2012 (CI: [-40.82 ; 40.44]):

Confidence Interval Example

CI around Difference: A confidence interval around a difference that does not cross zero also indicates statistical significance. The graph below shows the 95% confidence interval around the difference between hospital beds in 2011 and 2012 (CI: [-382.16 ; 125.53]):

Confidence Interval Example

The boundaries of this confidence interval around the difference also provide a way to see what the upper [40.44] and lower bounds [-40.82].

As a summary:

“Statistically significant means a result is unlikely due to chance.

The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn’t a difference for all users.

Statistical significance doesn’t mean practical significance. Only by considering context can we determine whether a difference is practically significant; that is, whether it requires action.

The confidence interval around the difference also indicates statistical significance if the interval does not cross zero. It also provides likely boundaries for any improvement to aide in determining if a difference really is noteworthy.

With large sample sizes, you’re virtually certain to see statistically significant results, in such situations, it’s important to interpret the size of the difference”("Measuring U", 2019).

*Resource

Measuring U. (2019). Statistically significant. Retrieved May 17, 2019 from: https://measuringu.com/statistically-significant/

Small sample sizes often do not yield statistical significance; when they do, the differences themselves tend also to be practically significant; that is, meaningful enough to warrant action.

4.Research Method

Discuss the Research Methodology (in general). Describe the variable or variables that are being analyzed. Identify the statistical test you will select to analyze these data and explain why you chose this test. Summarize your statistical alternative hypothesis. This section includes the following sub-sections:

a)Describe the Dataset

Example: The primary source of data will be HOSPITAL COMPARE MEDICARE DATA (citation). This dataset provides information on hospital characteristics, such as: Number of staffed beds, ownership, system membership, staffing by nurses and non-clinical staff, teaching status, percentage of discharge for Medicare and Medicaid patients, and information regarding the availability of specialty and high-tech services, as well as Electronic Medical Record (EMR) use (Describe dataset in 2-3 lines, Google the dataset and find the related website to find more information about the data).

Also, describe the sample size; for example, “The writer is using Medicare data-2013, this data includes 3000 obs. for all of the hospitals in the US.”

b)Describe Variables

Next, review the database you selected and select a variable or variables that are a “best-fit.” That is, choose a variable that quantitatively measures the concept or concepts articulated in your research question or hypothesis.

Return to your previously stated Research Question or Hypothesis and evaluate it considering the variables you have selected. (See the sample Table 1).

Table 1. List of variables used for the analysis

Variable

Definition

Description

of code

Source

Year

Total Hospital Beds

Total facility beds set up and staffed

at the end of the reporting period

Numeric

MN Data

2013

….

…..

Source: UMGC, 2019

***Just in time information:

To cite a dataset, you can go with two approaches:

First, look at the note in the dataset for example;

Medicare National Data by County. (2012). Dartmouth Atlas of Health Care, A

Second, use the online citation, for example:

Zare, H., (2019, May). MN Hospital Report Data. Data posted in University of Maryland University College HMGT 400 online classroom, archived at: http://campus.umgc.edu

See two examples describing the variables from Minnesota Data:

Table 2. Definition of variables used in the analysis

Variable

Definition

Description

of code

Source

Year

hospital_beds

Total facility beds set up and staffed

at the end of the reporting period

Numeric

MN data

2013

year

FY

Categorical

MN data

2013

Source: UMGC, 2019

c)Describe the Research Method for Analysis

First, describe the research method as a general (e.g., this is a quantitative method and then explain about this method in about one paragraph. If you have this part in the introduction, you do not need to add here).

Then, explain the statistical method you plan to use for your analysis (Refer to content in week 3 on Biostatistics for information on various statistical methods you can choose from).

Example:

Hypothesis: AZ hospitals are more likely to have lower readmission rates for PN compared to CA.

Research Method: To determine whether Arizona hospitals are more likely to have lower readmission rate than California, we will use a t-test, to determine whether differences across hospital types are statistically significant (You can change the test depends on your analysis).

d)Describe statistical package

Add one paragraph for the statistical package, e.g., Excel or RStudio.

5. Results

Discuss your findings considering the following tips:

▪ Why you needed to see the distribution of data before any analysis (e.g., check for outliers, finding the best fit test; for example, if the data had not a normal distribution, you can’t use the parametric test, etc., so just add 1 or 2 sentences).

▪ Did you eliminate outliers? (Please write 1 or 2 sentences, if applicable).

▪ How many observations do you have in your database and how many for selected variables, report % of missing.

▪ When you are finished with this, go for the next steps:

Present the results of your statistical analysis; include any relevant statistical information (summary tables, including N, mean, std. dev.). Make sure to completely and correctly name all your columns and rows, tables and variables. For this part you could have at least 1-2 tables and 1-2 figures (depending on your variables bar-chart, pi-chart, or scatter-plot), you can use a table like this:

Table 3. Descriptive analysis to compare % of BL in Medicare beneficiary, MD vs. VA- 2013

Variable

Obs.

Mean

SD

P-value

Per of Lipid in MD

24

83.20

2.32
0.4064
 

Per of Lipid in VA

     124
           82.69
4.41

Source: UMGC, 2019

When you have tables and plots ready, think about your finding and state the statistical conclusion. That is, do the results present evidence in favor or the null hypothesis or evidence that contradicts the null hypothesis?

6.Conclusion and Discussion

Review your research questions or hypothesis.

How has your analysis informed this question or hypothesis? Present your conclusion(s) from the results (presented above) and discuss the meaning of this conclusion(s) considering the research question or hypothesis presented in your introduction.

At the end of this section, add one or two sentences and discuss the limitations (including biases) associated with this analysis and any other statements you think are important in understanding the results of this analysis.

References

Include a reference page listing the bibliographic information for all sources cited in this report. This information should be consistent with the requirements specified in the American Psychological Association (APA) format and style guide.

Unformatted Attachment Preview

Minnesota Hospitals Admissions by Care Unit of the Hospital, Fiscal Year 2012 Data current as of 2-6-2014 Hospital Name Affiliation City Tyler Healthcare Center, Inc. Avera Health Tyler Abbott Northwestern Hospital Allina Hospitals and Clinics Minneapolis Essentia Health Ada Essentia Community Hospitals and Ada Clinics (ECHC) Riverwood HealthCare Center No Affiliation Aitkin Albany Area Hospital and Medical Center Catholic Health Initiatives Albany Appleton Municipal Hospital and Nursing Home No Affiliation Appleton Sibley Medical Center No Affiliation Arlington Bethesda LTACH HealthEast Care System St. Paul Buffalo Hospital Allina Hospitals and Clinics Buffalo Cambridge Medical Center Allina Hospitals and Clinics Cambridge Sanford Canby Medical Center Sanford Health Canby Mayo Clinic Health System - Cannon Falls Mayo Clinic Cannon Falls Chippewa County-Montevideo Hospital No Affiliation Montevideo Sanford Bagley Medical Center Sanford Health Bagley Sanford Hospital Luverne Sanford Health Luverne River's Edge Hospital & Clinic No Affiliation St. Peter Cloquet Memorial Hospital Association No Affiliation Cloquet Deer River HealthCare Center No Affiliation Deer River Winona Health Services No Affiliation Winona Mille Lacs Health System No Affiliation Onamia Cook Hospital & C&NC No Affiliation Cook Cook County North Shore Hospital No Affiliation Grand Marais Cuyuna Regional Medical Center No Affiliation Crosby Douglas County Hospital No Affiliation Alexandria Sanford Westbrook Medical Center Sanford Health Westbrook Ely-Bloomenson Community Hospital & Nursing Home No Affiliation Ely Mayo Clinic Health System - Fairmont Mayo Clinic Fairmont Fairview Northland Regional Hospital Fairview Health Services Princeton Fairview Ridges Hospital Fairview Health Services Burnsville Fairview Southdale Hospital Fairview Health Services Edina Rainy Lake Medical Center Quorum Health Resources International Falls First Care Medical Services Essentia Community Hospitals and Fosston Clinics (ECHC) Gillette Children's Specialty Healthcare No Affiliation St. Paul Glacial Ridge Health System No Affiliation Glenwood Glencoe Regional Health Services Park Nicollet Health Services Glencoe Granite Falls Municipal Hospital & Manor No Affiliation Granite Falls Prairie Ridge Hospital & Health Services No Affiliation Elbow Lake Owatonna Hospital Allina Hospitals and Clinics Owatonna Hendricks Community Hospital Association No Affiliation Hendricks Hennepin County Medical Center No Affiliation Minneapolis Essentia Health Holy Trinity Hospital Essentia Community Hospitals and Graceville Clinics (ECHC) Hutchinson Area Health Care Allina Hospitals and Clinics Hutchinson Mayo Clinic Health System - Mankato Mayo Clinic Mankato Grand Itasca Clinic and Hospital No Affiliation Grand Rapids Sanford Jackson Medical Center Sanford Health Jackson Johnson Memorial Health Services No Affiliation Dawson FirstLight Health System No Affiliation Mora Kittson Memorial Healthcare Center No Affiliation Hallock Mayo Clinic Health System - Lake City Mayo Clinic Lake City Lake Region Healthcare Corporation No Affiliation Fergus Falls Lake View Memorial Hospital St. Luke's Hospital, Duluth Two Harbors Lakeview Memorial Hospital HealthPartners, Inc. Stillwater CentraCare Health System - Long Prairie CentraCare Health System Long Prairie Madelia Community Hospital No Affiliation Madelia Madison Hospital No Affiliation Madison Mahnomen Health Center Sanford Health Mahnomen Meeker Memorial Hospital No Affiliation Litchfield Melrose Area Hospital - CentraCare CentraCare Health System Melrose Mercy Hospital No Affiliation Moose Lake Mercy Hospital Allina Hospitals and Clinics Coon Rapids Fairview University Medical Center - Mesabi Fairview Health Services Hibbing Park Nicollet Methodist Hospital Park Nicollet Health Services St. Louis Park SMDC Medical Center Essentia Community Hospitals and Duluth Clinics (ECHC) Children's Health Care dba Children's Hospitals and Clinics Children's of Minnesota Hospitals and Clinics Minneapolis Minnesota Valley Health Center Essentia Community Hospitals and LeClinics Sueur(ECHC) New River Medical Center No Affiliation Monticello Redwood Area Hospital No Affiliation Redwood Falls Murray County Memorial Hospital Sanford Health Slayton Mayo Clinic Health System - Albert Lea Mayo Clinic Albert Lea Sanford Bemidji Medical Center Sanford Health Bemidji North Memorial Medical Center North Memorial Health Care Robbinsdale Bigfork Valley Hospital No Affiliation Bigfork Northfield Hospital & Clinics No Affiliation Northfield Sanford Medical Center Thief River Falls Sanford Health Thief River Falls Olmsted Medical Center No Affiliation Rochester Ortonville Area Health Services Sanford Health Ortonville Paynesville Area Health Care System Paynesville Area Health Care System Paynesville Perham Health Sanford Health Perham Pipestone County Medical Center Avera Health Pipestone Mayo Clinic Health System - New Prague Mayo Clinic New Prague Regina Medical Center No Affiliation Hastings Renville County Hospital No Affiliation Olivia District One Hospital No Affiliation Faribault http://www.health.state.mn.us/divs/hpsc/dap/hccis/index.html health.hccis@state.mn.us Acute Care County Lincoln Hennepin Norman Aitkin Stearns Swift Sibley Ramsey Wright Isanti Yellow Medicine Goodhue Chippewa Clearwater Rock Nicollet Carlton Itasca Winona Mille Lacs St. Louis Cook Crow Wing Douglas Cottonwood St. Louis Martin Sherburne Dakota Hennepin Koochiching Polk Ramsey Pope Mcleod Yellow Medicine Grant Steele Lincoln Hennepin Big Stone Mcleod Blue Earth Itasca Jackson Lac Qui Parle Kanabec Kittson Goodhue Otter Tail Lake Washington Todd Watonwan Lac Qui Parle Mahnomen Meeker Stearns Carlton Anoka St. Louis Hennepin St. Louis Hennepin Le Sueur Wright Redwood Murray Freeborn Beltrami Hennepin Itasca Dakota Pennington Olmsted Big Stone Stearns Otter Tail Pipestone Scott Dakota Renville Rice Report Year End Date 2/29/2012 12/31/2012 6/30/2012 9/30/2012 6/30/2012 9/30/2012 9/30/2012 8/31/2012 12/31/2012 12/31/2012 6/30/2012 12/31/2012 12/31/2012 6/30/2012 6/30/2012 12/31/2012 9/30/2012 8/31/2012 9/30/2012 9/30/2012 12/31/2012 12/31/2012 3/31/2012 12/31/2012 6/30/2012 9/30/2012 12/31/2012 12/31/2012 12/31/2012 12/31/2012 12/31/2012 6/30/2012 12/31/2012 9/30/2012 12/31/2012 12/31/2012 12/31/2012 12/31/2012 6/30/2012 12/31/2012 6/30/2012 12/31/2012 12/31/2012 12/31/2012 6/30/2012 9/30/2012 12/31/2012 9/30/2012 12/31/2012 9/30/2012 12/31/2012 12/31/2012 6/30/2012 5/31/2012 9/30/2012 12/31/2012 12/31/2012 6/30/2012 9/30/2012 12/31/2012 12/31/2012 12/31/2012 6/30/2012 12/31/2012 6/30/2012 9/30/2012 12/31/2012 12/31/2012 12/31/2012 6/30/2012 12/31/2012 12/31/2012 12/31/2012 6/30/2012 12/31/2012 9/30/2012 9/30/2012 9/30/2012 6/30/2012 12/31/2012 9/30/2012 12/31/2012 12/31/2012 CAH Yes No Yes Yes Yes Yes Yes No No No Yes Yes Yes Yes Yes Yes Yes Yes No Yes Yes Yes Yes No Yes Yes No No No No Yes Yes No Yes Yes Yes Yes No Yes No Yes No No No Yes Yes Yes Yes Yes No Yes No Yes Yes Yes Yes Yes Yes Yes No No No No No Yes Yes Yes Yes No No No Yes No Yes No Yes Yes Yes Yes Yes No Yes No Licensed Licensed Available Beds Bassinets Beds 20 1 20 952 36 644 14 0 14 25 6 25 17 2 17 15 1 15 20 0 14 254 0 126 65 18 44 86 15 86 25 4 25 21 4 21 30 6 25 25 4 25 28 5 25 17 0 17 36 6 25 20 6 20 99 14 50 28 3 28 14 2 14 16 2 16 42 7 25 127 14 91 8 0 8 25 3 22 57 16 56 54 10 40 150 48 143 390 45 305 49 11 25 43 7 22 60 0 60 34 4 19 49 8 25 30 3 25 20 2 20 43 16 43 24 0 19 894 65 442 15 0 15 66 6 57 272 26 184 64 10 64 20 0 14 20 4 20 49 8 25 15 0 15 18 5 18 108 10 108 25 1 17 97 15 68 34 10 25 25 7 25 12 2 12 18 0 10 35 4 35 28 6 25 31 7 25 271 38 255 175 16 81 426 50 365 165 0 148 279 171 279 24 0 14 39 12 35 25 6 25 25 2 25 77 12 67 118 12 118 518 42 398 20 4 20 37 12 37 99 10 35 61 16 37 25 4 25 30 6 30 25 3 25 44 12 44 49 6 25 57 12 39 35 6 25 99 16 42 Neonatal (exclude Med/Surg Cardiac Chemical Mental Health Neurology routine Obstetrics Orthopedic Rehabilitatio Admission Admission Dependency (Psychiatric) Admission nursery) Admission Admission n s s Admissions Admissions s Admissions s s Admissions 10 8 1 8.906 7.018 195 3.224 2.433 2.023 4.516 6.855 701 33 6 3 2 408 135 12 6 24 14 62 87 28 80 16 6 1 28 5 42 12 6 1 9 82 5 5 1 6 13 165 161 1.093 315 34 22 78 176 560 328 1.386 337 417 558 141 144 541 267 121 13 1 12 4 15 23 146 44 1 3 15 56 377 118 7 6 43 22 98 100 134 59 4 3 17 15 5 144 37 7 2 12 14 62 7 43 157 45 2 20 1 16 100 377 60 8 2 24 2 69 101 252 78 4 14 12 91 42 33 944 294 51 237 89 43 269 117 320 61 3 7 24 8 49 40 174 82 2 36 27 54 83 17 2 2 5 5 8 199 71 3 6 11 10 60 46 1.496 257 25 13 124 220 644 1.033 18 6 2 3 158 36 8 5 17 3 25 31 9 973 340 6 3 66 35 302 242 1 823 247 13 7 67 96 551 248 4.030 862 60 23 308 486 2.737 1.663 5.352 2.750 112 872 1.041 533 3.242 2.910 292 80 7 2 23 13 85 23 70 33 8 12 35 20 301 7 1 33 584 7 1.049 96 303 93 5 2 30 1 48 24 593 100 7 3 38 45 204 91 260 63 2 3 33 5 43 35 125 49 5 3 14 14 997 234 19 415 59 138 562 341 28 17 5 8 13 12 7.737 1.668 404 2.243 1.599 1.197 2.720 1.654 257 34 8 2 2 844 199 27 678 63 99 359 233 3.556 1.467 114 495 523 394 1.676 1.515 496 150 10 2 66 48 183 74 42 56 11 12 5 7 112 25 7 7 17 558 105 10 7 51 30 104 107 45 8 2 9 111 35 1 1 10 5 61 48 837 278 22 260 97 39 259 248 130 106 30 14 19 9 2 656 117 20 3 68 89 535 1.391 108 9 1 1 3 14 67 21 52 22 7 7 15 3 142 56 1 8 12 9 9 54 13 1 2 2 1 338 135 14 45 160 19 157 57 114 32 2 13 2 41 10 329 61 4 3 33 19 99 95 17 6.748 3.476 303 1.305 1.356 831 2.203 2.091 1.285 273 89 1.036 152 93 380 109 7.684 3.103 185 96 1.194 1.053 3.809 2.870 248 375 47 22 1.251 15 11 18 106 161 3.884 433 5 69 569 793 4 192 21 7 1 2 6 517 86 11 7 33 142 437 89 85 231 81 11 3 23 19 95 10 7 179 56 1 5 13 54 12 1.083 283 23 16 78 94 552 444 1.372 359 22 61 234 287 845 423 205 8.730 3.512 222 1.197 1.956 583 1.820 3.356 184 137 38 3 1 12 117 4 750 204 5 7 45 113 506 274 1 298 75 7 217 25 39 161 54 684 110 10 4 21 208 992 317 164 59 1 27 3 48 16 141 26 1 3 15 7 69 39 227 88 2 3 27 4 67 16 1 194 41 4 2 19 6 75 84 232 62 6 2 27 15 100 64 1 588 117 42 8 35 57 259 212 15 233 120 5 5 30 3 19 28 9 748 180 11 11 58 107 445 207 1 of 5 Non-Acute Care Other Acute Care Specialty Admission s 4 3.780 6 83 15 13 13 892 276 336 24 40 77 32 34 24 85 32 183 88 48 18 31 458 38 219 186 1.102 2.089 37 16 158 47 99 54 19 314 9 1.916 2 166 1.152 131 11 31 122 9 23 262 10 281 20 7 25 11 96 27 115 2.226 241 2.487 287 1.225 6 99 59 41 290 349 2.519 23 224 60 219 45 33 59 37 51 143 52 144 Total Billing Acute Care Admission s 23 39.651 50 859 151 83 125 1.218 2.882 4.127 213 305 848 269 362 365 728 558 2.227 600 423 140 437 4.270 29 330 2.187 2.238 11.271 18.901 562 194 2.236 553 1.180 498 229 3.079 92 21.395 48 2.668 10.892 1.202 102 199 1.094 73 295 2.432 190 3.160 244 113 262 84 1.021 241 775 20.539 3.658 22.729 2.293 7.174 43 1.506 539 361 2.863 4.157 24.079 335 2.129 936 2.565 363 334 494 462 560 1.476 504 1.911 balancing account (discharge data to amt provided by hospital in 4320) 87 -1.521 25 231 86 30 -24 0 -120 -340 89 37 -55 -72 154 -116 220 -103 556 269 -129 14 1.676 -528 45 19 -212 -383 454 -360 -82 241 88 159 -383 -92 -64 -311 18 -813 25 -407 -222 998 10 3 37 84 -16 618 -58 559 130 -8 -43 34 3 227 20 701 -405 -903 1.864 5.411 26 -255 -40 -45 -598 1.508 -2.345 20 -426 1.308 -660 -26 77 331 2 196 233 -166 -68 Total Acute Care Admissions (ties to 4320) 110 38.130 75 1.090 237 113 101 1.218 2.762 3.787 302 342 793 197 516 249 948 455 2.783 869 294 154 2.113 3.742 74 349 1.975 1.855 11.725 18.541 480 435 2.324 712 797 406 165 2.768 110 20.582 73 2.261 10.670 2.200 112 202 1.131 157 279 3.050 132 3.719 374 105 219 118 1.024 468 795 21.240 3.253 21.826 4.157 12.585 69 1.251 499 316 2.265 5.665 21.734 355 1.703 2.244 1.905 337 411 825 464 756 1.709 338 1.843 Routine Nursery Swing Bed Admission Admissions s (Births) (ties to 4324) 20 4.264 20 63 32 45 42 52 32 893 459 37 113 113 61 87 347 52 9 278 590 30 235 524 2.360 2.860 57 72 65 201 38 105 123 105 23 89 118 42 32 71 52 66 16 86 68 Total Total NonSubacute/ Acute and Transitional Other Non- Nursery Care Acute Care Care Admissions Admission Admission (ties to 4327) s s 4 24 4.264 20 95 9 96 7 59 8 40 893 459 142 123 233 23 202 131 103 123 347 126 52 75 278 590 16 120 338 524 2.360 2.860 107 218 15 13 4 3 4 35 50 146 164 75 123 29 1 8 51 11 229 277 169 29 525 62 2.357 20 259 1.275 329 28 95 165 18 232 319 83 509 171 74 81 42 183 182 209 2.038 336 3.068 525 2.357 20 259 1.275 329 10 125 71 319 509 94 7 5 131 90 122 2.038 336 3.068 192 84 28 80 23 18 97 5 17 64 76 7 56 67 71 31 51 89 87 21 47 32 58 77 3 48 21 7 5 11 1 3 414 987 1.173 511 293 822 73 78 125 66 157 325 32 360 73 62 37 54 105 11 88 5 1 1 50 224 142 77 414 987 1.173 55 532 293 822 146 141 163 120 273 325 125 360 Total Acute and NonAcute Care Hospital Admissions (4320+7180) 134 42.394 95 1.185 333 172 141 1.218 3.655 4.246 444 465 1.026 220 718 380 1.051 578 3.130 995 346 229 2.391 4.332 90 469 2.313 2.379 14.085 21.401 587 653 2.324 941 1.074 575 194 3.293 172 22.939 93 2.520 11.945 2.529 140 297 1.296 175 511 3.369 215 4.228 545 179 300 160 1.207 650 1.004 23.278 3.589 24.894 4.157 12.585 119 1.475 641 393 2.679 6.652 22.907 410 2.235 2.537 2.727 483 552 988 584 1.029 2.034 463 2.203 Health Care Cost Information System (HCCIS) Minnesota Department of Health Minnesota Hospitals Admissions by Care Unit of the Hospital, Fiscal Year 2012 Data current as of 2-6-2014 Report Year Hospital Name Affiliation City County End Date Rice Memorial Hospital No Affiliation Willmar Kandiyohi 12/31/2012 Riverview Healthcare Association No Affiliation Crookston Polk 9/30/2012 Mayo Clinic Methodist Hospital Mayo Clinic Rochester Olmsted 12/31/2012 LifeCare Medical Center No Affiliation Roseau Roseau 9/30/2012 Pine Medical Center Essentia Community Hospitals and Sandstone Clinics (ECHC) Pine 6/30/2012 New Ulm Medical Center Allina Hospitals and Clinics New Ulm Brown 12/31/2012 Sleepy Eye Medical Center No Affiliation Sleepy Eye Brown 12/31/2012 Mayo Clinic Health System - Springfield Mayo Clinic Springfield Brown 12/31/2012 St. Cloud Hospital CentraCare Health System St. Cloud Stearns 6/30/2012 Saint Elizabeth's Medical Center Ministry Health Care Wabasha Wabasha 9/30/2012 St. Francis Medical Center Catholic Health Initiatives Breckenridge Wilkin 6/30/2012 St. Francis Regional Medical Center Allina Hospitals and Clinics; Park Nicollet Shakopee Health Services Scott 12/31/2012 St. Gabriel's Hospital Catholic Health Initiatives Little Falls Morrison 6/30/2012 Mayo Clinic Health System - Red Wing Mayo Clinic Red Wing Goodhue 12/31/2012 St. Joseph's Area Health Services, Inc. Catholic Health Initiatives Park Rapids Hubbard 6/30/2012 St. Joseph's Hospital HealthEast Care System St. Paul Ramsey 8/31/2012 St. Joseph's Medical Center Essentia Community Hospitals and Brainerd Clinics (ECHC) Crow Wing 6/30/2012 St. Luke's Hospital St. Luke's Hospital, Duluth Duluth St. Louis 12/31/2012 Saint Marys Hospital Mayo Clinic Rochester Olmsted 12/31/2012 St. Mary's Regional Health Center Essentia Community Hospitals and Detroit Clinics Lakes (ECHC) Becker 6/30/2012 St. Mary's Medical Center Essentia Community Hospitals and Duluth Clinics (ECHC) St. Louis 6/30/2012 St. Michael's Hospital & Nursing Home No Affiliation Sauk Centre Stearns 12/31/2012 Mayo Clinic Health System-Austin Mayo Clinic Austin Mower 12/31/2012 Regions Hospital HealthPartners, Inc. St. Paul Ramsey 12/31/2012 Stevens Community Medical Center No Affiliation Morris Stevens 12/31/2012 Swift County-Benson Hospital Rice Memorial Hospital Benson Swift 12/31/2012 Sanford Tracy Medical Center Sanford Health Tracy Lyon 6/30/2012 Tri-County Hospital No Affiliation Wadena Wadena 12/31/2012 LakeWood Health Center Catholic Health Initiatives Baudette Lake Of The Woods 6/30/2012 Lakewood Health System No Affiliation Staples Wadena 12/31/2012 United Hospital District No Affiliation Blue Earth Faribault 12/31/2012 United Hospital Allina Hospitals and Clinics St. Paul Ramsey 12/31/2012 Unity Hospital Allina Hospitals and Clinics Fridley Anoka 12/31/2012 Virginia Regional Medical Center No Affiliation Virginia St. Louis 12/31/2012 Ridgeview Medical Center No Affiliation Waconia Carver 12/31/2012 North Valley Health Center No Affiliation Warren Marshall 12/31/2012 Mayo Clinic Health System - Waseca Mayo Clinic Waseca Waseca 12/31/2012 Mayo Clinic Health System - St. James Mayo Clinic St. James Watonwan 12/31/2012 Avera Marshall Regional Medical Center Avera Health Marshall Lyon 6/30/2012 Sanford Medical Center Wheaton Sanford Health Wheaton Traverse 6/30/2012 Northern Pines Medical Center Essentia Community Hospitals and Aurora Clinics (ECHC) St. Louis 6/30/2012 Windom Area Hospital Sanford Health Windom Cottonwood 4/30/2012 Sanford Worthington Medical Center Sanford Health Worthington Nobles 6/30/2012 St. John's Hospital HealthEast Care System Maplewood Ramsey 8/31/2012 Regency Hospital of Minneapolis Select Medical Corporation Golden Valley Hennepin 12/31/2012 Phillips Eye Institute Allina Hospitals and Clinics Minneapolis Hennepin 12/31/2012 University of Minnesota Medical Center - Fairview Fairview Health Services Minneapolis Hennepin 12/31/2012 Fairview Lakes Regional Medical Center Fairview Health Services Wyoming Chisago 12/31/2012 Woodwinds Health Campus HealthEast Care System Woodbury Washington 8/31/2012 Maple Grove Hospital Fairview Health Services; North Memorial Maple Grove Health Care Hennepin 11/30/2012 Anoka Metro Regional Treatment Center Dept of Human Services, State ofAnoka MN Anoka 6/30/2012 Shriners Hospitals for Children Shriners Hospitals for Children Minneapolis Hennepin 12/31/2012 Veterans Affairs Medical Center U.S. Department of Veterans Affairs Minneapolis Hennepin 9/30/2012 Veterans Affairs Health Care System U.S. Department of Veterans Affairs St. Cloud Stearns 9/30/2012 Community Behavioral Health Hospital-Alexandria Dept of Human Services, State ofAlexandria MN Douglas 6/30/2012 Community Behavioral Health Hospital - Annandale Dept of Human Services, State ofAnnandale MN Wright 6/30/2012 Community Behavioral Health Hospital - Fergus FallsDept of Human Services, State ofFergus MN Falls Otter Tail 6/30/2012 Community Behavioral Health Hospital - Rochester Dept of Human Services, State ofRochester MN Olmsted 6/30/2012 Community Behavioral Health Hospital-St. Peter Dept of Human Services, State ofSt. MNPeter Nicollet 6/30/2012 Community Behavioral Health Hospital - Baxter Dept of Human Services, State ofBaxter MN Crow Wing 6/30/2012 Community Behavioral Health Hospital - Bemidji Dept of Human Services, State ofBemidji MN Beltrami 6/30/2012 PrairieCare No Affiliation Maple Grove Hennepin 12/31/2012 Acute Care CAH No Yes No Yes Yes Yes Yes Yes No Yes Yes No Yes No Yes No No No No No No Yes No No Yes Yes Yes Yes Yes Yes Yes No No No No Yes Yes Yes Yes Yes Yes Yes No No No No No No No No No No No No No No No No No No No No Licensed Licensed Available Beds Bassinets Beds 136 20 85 49 10 25 794 55 311 25 7 25 30 5 25 62 14 35 25 4 16 24 6 24 489 40 465 31 4 23 25 8 25 93 16 86 49 10 25 50 7 50 50 10 25 401 40 234 162 15 162 267 18 267 1.265 26 879 87 16 41 380 46 316 28 8 20 82 10 81 454 26 434 54 5 25 31 4 18 25 0 25 49 6 25 15 3 15 37 8 35 43 4 25 546 40 432 275 36 210 83 6 64 109 20 96 20 0 20 35 0 19 25 6 13 49 8 35 25 4 15 16 4 16 35 6 25 48 7 30 184 44 184 92 0 92 20 0 8 1.700 168 751 61 12 52 86 20 86 90 17 84 175 0 175 40 0 40 305 0 305 35 0 15 16 0 16 16 0 16 16 0 16 16 0 16 16 0 16 16 0 16 16 0 16 20 0 20 17.099 1.832 12.388 Neonatal (exclude Med/Surg Cardiac Chemical Mental Health Neurology routine Obstetrics Orthopedic Rehabilitatio Admission Admission Dependency (Psychiatric) Admission nursery) Admission Admission n s s Admissions Admissions s Admissions s s Admissions 1.402 311 36 261 131 310 854 239 256 86 1 5 24 10 110 135 1 4.469 166 5 6 102 ...
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Final Answer

Attached.

Running head: QUANTITATIVE ANALYSIS

Comparing Average Length of Stay between Acute Care and Not Acute Care Hospitals
Your First and Last Name
Your Institution
Course

1

QUANTITATIVE ANALYSIS

2

Comparing Average Length of Stay between Acute Care and Not Acute Care Hospitals
Introduction
Guided by different medical reports, I decided to research on length of stay in hospitals.
In a report presented by Baek and co-researchers, (2018) on the researcher had taken a keen
interest in the study of length of stay (LOS) on the efficiency of management in hospitals (Lou
2018). His point of view was that the two testable variables; acute care and not acute care
institutions were significant. He noticed that 55%, as supports Melody, et al., (2019), of inpatient
cases were discharged after 4 days but the department of rehabilitation medicine (RH) took up to
15.9 days to discharges its patients. Other researches by Eurostat, (2019) displayed similar
statistics as presented by Baek’s res...

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