develop a marketing plan for a healthcare facility that was recently cited by the OIG (Office of Inspector General), or has been investigated by a journalist (eg., newspaper article, journal)

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With identifying marketing techniques, personal branding and created a SWOT Analysis. Now it’s time to use all of these concepts in a “real world” scenario.

Please develop a marketing plan for a healthcare facility that was recently cited by the OIG (Office of Inspector General), or has been investigated by a journalist (eg., newspaper article, journal). The marketing plan must include a cover page, reference page and must be completed using Microsoft PowerPoint.

Please answer the following items in your marketing plan:

  1. Organizational Summary – Explain why the company is in trouble
  2. Analysis of the External Environment – (Public perception, economy)
  3. Threats and Opportunities                                                          
  4. Marketing Goals and Objectives                                    
  5. The Target Market
  6. Competition – List possible competitors                                               
  7. Marketing Strategy                                                           
  8. Action Programs (Marketing tactics)
  9. Budgets – How much money do you think this would cost?

Select a Topic for Your Critical Review

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Select a Topic for Your Critical Review

Select the topic for your Critical Review, which is due in Week Six, and briefly analyze its key features and pathophysiology. You may select from any of the following psychiatric disorders: schizophrenia (or schizotypal disorders), bipolar disorder, depression, any of the anxiety disorders, PTSD, chronic pain disorders, Alzheimer’s disease,  Parkinson’s disease or other movement disorder, seizures, ADD/ADHD, autism, OCD, any personality disorder, brain trauma, stroke, encephalitis, meningitis, or migraines.  Other topics may be chosen, with approval of your instructor.

Other topics may be considered but require prior approval by the instructor. However, addiction is not the emphasis of the course. Critical Reviews focusing on addiction, or drugs of addiction, will not be accepted. Your paper must focus on drug treatment and not on other modes of treatment. Papers that discuss psychotherapy, other than in passing, will not be given credit. Ask your instructor for clarification.

Explain your chosen psychiatric disorder in terms of neurotransmitter and receptor theories. Describe the symptomology of the disorder and its relationship with the neurotransmitters involved. Discuss the anatomic changes seen with the disorder. Explain the relationship between neurotransmitter and anatomic features and resultant symptoms. Summarize the interaction(s) between the behavioral, neuroanatomical, and neurotransmitter changes seen within the selected disorder.

The paper:

  • Must be three to five double-spaced pages in length (not including title and references pages) and formatted according to APA style as outlined in the Ashford Writing Center. (Links to an external site.)
  • Must include a separate title page with the following:
    • Title of paper
    • Student’s name
    • Course name and number
    • Instructor’s name
    • Date submitted
  • Must use at least three peer-reviewed sources from the Ashford University Library. These may include the required articles for the assignment.
  • Must document all sources in APA style as outlined in the Ashford Writing Center.
  • Must include a separate references page that is formatted according to APA style as outlined in the Ashford Writing Center.

There are strengths and weaknesses associated with statistical testing. For this discussion, begin by reviewing the various methods of statistical testing presented in your textbook (i.e., t-tests, ANOVA, chi-square, and f-tests). Then, keeping these methods in mind, read the following quotes: Based on the above quotes, along with this week’s assigned readings and Instructor Guidance, discuss why statistical testing is important in research.

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There are strengths and weaknesses associated with statistical testing. For this discussion, begin by reviewing the various methods of statistical testing presented in your textbook (i.e., t-tests, ANOVA, chi-square, and f-tests). Then, keeping these methods in mind, read the following quotes: Based on the above quotes, along with this week’s assigned readings and Instructor Guidance, discuss why statistical testing is important in research.

There are strengths and weaknesses with statistical testing along with which techniques you use for which data. It’d important to use the correct statistical testing technique for the data and outcome for which you are looking for from the data. Chi-square test can test the associations between the variables which provides this testing an advantage (Lind, Marchal, & Wathen, 2017). However, the disadvantage to the Chi-square test is that it doesn’t provide the strength of the relationship (Lind, Marchal, & Wathen, 2017). Chi-square is never negative values and is always positively skewed (Lind, Marchal, & Wathen, 2017).  ANOVA stands for analysis of variance and is the immediate comparisons of numerous populations means (Lind, Marchal, & Wathen, 2017). The f-tests are used by the ANOVA to test the equality of the mean (Lind, Marchal, & Wathen, 2017). A disadvantage to an f-test is that it can’t use negative values (Lind, Marchal, & Wathen, 2017). A contingency table is used to test if two behaviors or features are related. The sign test is used to display a positive or negative sign for the difference between two related observations (Lind, Marchal, & Wathen, 2017). If there is no difference than zero is logged and that person would be removed from the study. The advantage is that the sign test looks to have a study with participants that are not logged as a zero (Lind, Marchal, & Wathen, 2017). The Kruskal-Wallis test is used for independent populations meaning that each sample of populations must not influence the response of the other sample populations (Lind, Marchal, & Wathen, 2017). “Statistical analysis in cases involving small numbers can be particularly helpful because on many occasions intuition can be highly misleading.”—Sandy Zabell,Statistics: A Guide to the Unknown (3rd ed.)(1989). I enjoy this quote as statistical analysis with small numbers can have outcomes that are unpredictable based off of human’s instincts without the data or about the data before the analysis is completed. We all have our own opinions on what is happening at what we are statistically testing but until the research and analysis into those statistics are completed our instincts can be completely wrong and misleading.

References:

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017).Statistical techniques in business and

economics.

.(17th ed.). Retrieved from http://connect.mheducation.com/class/

https://www.goodreads.com/quotes/search?utf8=%E2%9C%93&q=statistics&commit=Search

Respond to…

According to the authors Taeger and Kuhnt, “Hypothesis testing aims at a decision on whether or not a hypothesis on the nature of the population is supported by the sample” (2014, pg.3). Statistical testing is a process that yields results to help determine whether or not a hypothesis is reasonable or valid. One way to run a hypothesis test on a population without having to test the entire population is to test a sample of that population. Working with a sample population can be advantageous for a researcher, and often, a researcher will work with two sample populations. For example, if a study is being done on a new drug, the researcher may want to set up a sample population taking the new medication alongside a sample population taking a placebo. When the studies are concluded, by utilizing two-test hypothesis methods, such as t-test and f-test, a researcher can determine whether or not the new medication had positive results or not. Many studies will have a control group, so comparing two populations can be very beneficial.

“In a world with amazing amounts of statistics and demographics available, If you don’t utilize foresight, statistics, demographics, projections, and predictions the competition will.”—Akutra-Ramses Atenosis Cea. I think this is a great quote with a powerful message. Statistics, data, and information are heavily utilized by business to gain any advantages possible over the competition. This quote is stating if you are in business and not using statistics; you can count on your competition using it and gaining an edge on you.

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics (17th ed.). Retrieved from http://connect.mheducation.com/class/

Taeger, D., & Kuhnt, S. (2014). Statistical Hypothesis Testing with SAS and R (Vol. First edition). Chichester, West Sussex: Wiley. Retrieved from http://search.ebscohost.com.proxy-library.ashford.edu/login.aspx?direct=true&db=edsebk&AN=686069&site=eds-live&scope=site

Locate an example of a research study that uses statistical tests. List the statistical tests that are used, and explain what each one allows the researchers to accomplish and/or conclude in the study.

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Respond to…

Locate an example of a research study that uses statistical tests. List the statistical tests that are used, and explain what each one allows the researchers to accomplish and/or conclude in the study.

This research study hypothesizes that there are gender differences in depression in patients hospitalized for Acute Coronary Syndrome (ACS) (Frazier, L., Yu, E., Sanner, J., & et al., 2012). “This was a cross-sectional observational study with a convenience sample of 789 adults (248 females and 541 males) hospitalized for ACS. The study included all participants meeting the inclusion criteria of a larger study looking at the interactions of genetics and depression on ACS outcomes. The overall rate for males versus females was consistent with the gender ratio for ACS admitted to the facility. Participants were recruited during hospital admission for ACS and were screened for self-reported depressive symptoms, by trained research nurses, using the BDI­II. Depression was defined as a BDI­II score of ≥14 indicating at least moderate symptoms of depression (Frazier, L., Yu, E., Sanner, J., & et al., 2012).” The depression was rated the same and defined what the scores mean to keep the study consistent. “Pearson chi­square tests for independence (categorical variables) ort­tests for independent samples (continuous variables) were used to examine differences in demographic characteristics between males and females. Comparisons of depression ordinal scores and symptoms by gender were conducted with Wilcoxon rank sum and Pearson chi­square tests for independence, respectively. Degrees of freedom for the Pearson chi­square test was defined as follows: (r­1) x (c­1), where= the number of rows and c= the number of columns. The significance level was set at P < 0.05. Data were analyzed using SAS 9.2 statistical software (Frazier, L., Yu, E., Sanner, J., & et al., 2012).” The chi­square was used for testing the relationships between the variables. The t­tests were used to determine if there is a significant difference between the two groups. In this study, the chi­square test and t­tests were used for the demographic characteristics of males and females. “The prevalence of depression in this study was significantly higher in the females (35%) than males (22%) (BDI­II scores ≥ 14). Of the 21 depressive symptoms evaluated by the BDI­II, 19 depressive symptoms were reported more frequently by females; 7 out of the 19 symptoms reaching statistical significance (P < 0.05).” The research study used tables to show the comparisons. The results also found similar patterns in the depressive symptoms from the research study and some depressive symptoms were discovered as the cause of the ACS event. The results proved that the hypothesis was correct in the gender differences in depression with patients in the hospital for ACS. The somatic symptoms are indicators of depression among the ACS patients, especially for the females. The ability to diagnose and test depression in these patients is an important intervention to decrease subsequent ACS events for these patients. The research study did say that there would need to be more future tests needed to identify the biological and psychological mechanisms to explain the reason for the gender differences (Frazier, L., Yu, E., Sanner, J., & et al, 2012).

References

Lorraine Frazier, Erica Yu, Jennifer Sanner. (2012). et al., “Gender Differences in Self-Reported Symptoms of Depression among Patients with Acute Coronary Syndrome,”Nursing Research and Practice, vol. 2012, Article ID 109251, 5 pages, 2012.https://doi.org/10.1155/2012/109251

Respond to…

Research paper has been analyzed in order to study statistical techniques that have been used for carrying out analysis. Topic of the research is on how training carries impact on performance of employees working in the telecommunication sector (Iqbal, Ahmad & Javaid, 2014). Main statistical tools that were utilized in the research included SPSS and ANOVA. SPSS is a powerful tool which helps understand relation that is present between different variables in the study. Different approaches are present to regression analysis but core purpose is to establish relationship between variables. It can be seen in the research paper being analyzed that SPSS aims to establish relation between variables such as training, salary, involvement and performance. This makes it easier to understand which variable carries the least impact and most impact. It was found in the research that more emphasis should be put on education of employees through which long term improvement can be obtained in performance of employees. ANOVA test is a tool applied to determine if mean of two or more groups are significantly different from each other or not. Impact is found out by comparing means of different samples. ANOVA table has been used in almost all relations being analyzed between variables where it tells whether relation holds true or not. This tells how much valid one calculation is and whether it can be applied in the general or not.

References

Iqbal, N., Ahmad, N., & Javaid, K. (2014). Impact of Training on Employee Performance in the context of Telecommunication sector of DG Khan,(Pakistan). International letters of social and humanistic sciences, 17, 60-73.