Barriers to Accepting Health Information Technologies

The Survey Says: Conducting a Descriptive Research Study “Barriers to Accepting Health Information Technologies” Step One Introduction: With the rapid transformation of the U.S. health care industry, today’s HIM (including health care managers) professional requires an advanced level of skill sets and training. This includes the basic ability to conduct health care research and analysis raw data in order to derive meaningful information. Conduct a descriptive research study on the assigned topic “Barriers to Accepting Health Information Technologies”. Your submission must include an APA-formatted cover sheet. Step One (Part A): Identifying the Variables- o Given the assigned research topic “Barriers to Accepting Health Information Technologies”, identify your independent and dependent study variable(s) [Refer to the accompanying reference document attached below titled “Pointers for Completing Steps One (Part A & B)] • Step One (Part B): Formulate The Hypothesis- o State your hypothesis [Refer to the accompanying reference document attached below titled “Pointers for Completing Step One (Part A & B)] Pointers for Completing Step One: Part A & B For the running course project, “Barriers to Accepting Health Information Technologies”, you are asked to identify variables in step one and formulate a hypothesis in step two. Note, you will not submit your work for step one and step two until you make the required submission for step three. Please see below for pointers on approaching step one and step two: Step One (Part A): Identifying the Variables The instructions state, “Given the assigned research topic “Barriers to Accepting Health Information Technologies”, identify your independent and dependent study variable(s).” Please review Chapter 17, Healthcare Data Analytics within the Oachs textbook for definitions of variables. Also refer to the following links: • http://nces.ed.gov/nceskids/help/user_guide/graph/variables.asp • http://www.psychologyandsociety.com/variables.html An example of an independent variable may be age or drug type (e.g. a drug may be categorized as a study drug or a placebo). A dependent variable is believed to change based on the independent variable. For example, weight might be a dependent variable that changes based on a person’s age. In the example of drug type, heart burn could be a dependent variable. Heartburn may decrease if the study drug is taken. You may also want to do some further research on your own to learn more about variables and variable relationships. Variables may be numerical or categorical. For this assignment, use the title “Barriers to Accepting Health Information Technologies” to identify independent and dependent variables that should be investigated in the research survey that you will create. Consider what types of relationships may occur between these variables. You will produce survey questions that further investigate these relationships. Step One (Part B): Formulate the Hypothesis The instructions state, “State your hypothesis.” Please review Chapter 17, Healthcare Data Analytics within the Oachs textbook for definitions of variables. Also refer to the following links. Also refer to the following link: • http://socialresearchmethods.net/kb/hypothes.php After you have a clear research topic in mind, have identified independent and dependent variables, and have considered relationships between these variables, you will want to make a statement of what you predict that relationship will be. For example, based on the literature, I believe that weight increases with age. Now I can convert this statement into a hypothesis. My hypothesis is, “Weight increases with age.” Since this is what I believe to be true, this is called the alternative hypothesis, denoted H1. The null hypothesis, denoted H0, is what a researcher would actually test. A null hypothesis is always going to support a status quo or indicate that there is no difference or no relationship. For my example, H0: “Weight change is independent of age.” Here are some generalized way of presenting your null (H0) and alternative (H1) hypotheses. If you are comparing categorical data, • H0: Variable A is independent of Variable B. • H1: Variable A is dependent on variable B. If you are testing against a set value, • H0: = value • H1: ≠ value (or) H1: > value (or) H1: < value For this assignment, use your predicted relationship between the independent and dependent variables that you identified in step one to create a null and alternative hypothesis.