Review the CMS.gov 30-Day Mortality and Readmission Data website.
Review at least two local hospitals and see how they compare to state and national benchmarks.
How and why may a consumer or a health care professional use this data to make decision about their next hospitalization?
Will reporting this data have an impact on hospitals bottom line in addition to financial penalties from CMS?
Give at least two examples of how this data may be used and what type of impact if may have if at all on the hospitals.
Also read:
- Review the CMS.gov 30-Day Mortality and Readmission Data website. Review at least two local hospitals in N.J. and see how they compare to state and national benchmarks. How and why may a consumer or a health care professional use this data to make decision about their next hospitalization?
- Review the CMS.gov 30-Day Mortality and Readmission Data website. Review at least two local hospitals in N.J. and see how they compare to state and national benchmarks
- Visit the U.S. Government Web site, TradeStats Express:http://tse.export.gov/TSE/TSEReports.aspx?DATA=NTD Find National Trade Data. Determine the trade balance between the U.S. and China for the most recent five year period. Illustrate the trend over this period with a graph of the data.
- review the Maryland Managed Care Website at:https://mmcp.dhmh.maryland.gov/healthchoice/SitePages/Home.aspx.
- Review a state Department of Education website and identify at least 10 types of school data available, such as retention data, standardized test scores, mobility rates, parent education, and demographics.
- Visit the OSHA website (www.osha.gov) and summarize their policy regarding hazard communication.
- Question: Q: Chapter Chapter 11 of Mertler and Vannata; answer exercises on pages 306 and 307: This exercise utilizes the SPSS data setprofile-e.sav, which can be downloaded from this Web site: www.Pvrczak.com/data Conduct a Forward: LR logistic regression analysis with the following variables: IV—age, educ, hrsl, sibs, rincom91, life2 (categorical) DV—satjob2 Note: The variable Iife2 is categorical such that dull = 1, routine/exciting = 2, and all other values are system missing. Develop a research question for the following scenario. Conduct a preliminary Linear Regression to identify outliers and evaluate multicollinearity among the five continuous variables . Complete the following: a. Using the Chi-Square table in Appendix B, identify the critical value atp< .001 for identifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated? b. Is multicollinearity a problem among the five continuous variables? Conduct Binary Logistic Regression using the Forward: LR method. IV—age, educ, hrsl, sibs, rincom91, life2 (categorical; last is the reference category) DV—satjob2 Note: Make sure that any outliers identified in Exercise 2a are removed from data before running the logistic regression. Also, designating life2 as a categorical covariate with the last category as the reference, essentially makes "routine/exciting" = 0 and "dull" = 1, so interpret the results accordingly. a. Which variables were entered into the model? b. To what degree does the model fit the data? Explain. c. Is the generated model significantly different from the constant-only model? d. How accurate is the model in predicting job satisfaction? e. What are the odds ratios for the model variables? Explain. Module 14 – Multi-level linear analyses: When do you use multi-level linear analyzes? Chapter 8 of Cronk (chapter below I wasn’t sure what was being asked) and answer all practice exercises; post your results here:
- Review the CDC link http://www.cdc.gov/zika/index.html about the Ziki virus and use the Internet to locate one or two (1-2) articles about the Ziki virus