{Title of Your Presentation} {YOUR NAME} BENEDICTINE UNIVERSITY MPH 606 METHODS OF RESEARCH IN PUBLIC HEALTH.

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Presentation transcript:

{Title of Your Presentation} {YOUR NAME} BENEDICTINE UNIVERSITY MPH 606 METHODS OF RESEARCH IN PUBLIC HEALTH

Notes on PowerPoint PowerPoint is a tool, it is not your presentation. Use bullet points, not full sentences or paragraphs. Be brief and succinct. This is an important presentation skill! If you find yourself reading from the PowerPoint slide, there are too many words on there. Paraphrase and keep it short. Graphics really do make a presentation come alive. Add tables, graphs, charts, some images that you find – Google Images and Snip are you friends. Use them. As a general rule of thumb, about one slide per minute of talk is reasonable. But, I cannot stress this enough, either practice (practice, practice) your talk, or keep a clock handy while presenting (e.g. a phone or watch). Do not go over your allotted time. Nothing loses your audience faster than going over your time. Make sure that tables are legible. Do not have too many numbers or words. If it is too crowded, people will not want to read it. And if they are trying to read it, they will not listen to you. Listening to you is more important. This slide, right here, is a bad PowerPoint slide. This slide is for your information only, and it is not a model of a good slide.

Notes on PowerPoint From the previous slide: 1.Brevity, succinctness 2.Graphics, visual content 3.One slide per minute 4.Legible tables 5.This slide here is a good slide

Background This is where you give some background on your research topic. 1.How many people have it (i.e. prevalence) 2.How many people are diagnosed or experience it every year (i.e. incidence) 3.What does it cost the country (e.g. burden of disease, amount of money) 4.Who is at risk (e.g. men, women, children, adults, special populations?) 5.What are the risk factors (i.e. exposures)?

Literature Review What other studies have been done in this disease/research topic? Summarize, do not list each study individually. This is where you synthesize, or put together, your literature review. This is not where you report on each individual article you read. 1.What is a major finding or association/relationship that was examined and found significant? 2.What is another risk factor or exposure that is associated with the disease/outcome? 3.What covariates (if any) are found to be associated with the outcome? For instance, gender, age, ethnicity, education, income, marital status, etc. 4.What types of studies have been done, and more importantly, what is missing from the literature (this is the gap you are trying to fill with your research study)?

Research Question This is where you list your actual research question. 1.What is your research question? 2.Specifically, what are you trying to research that has not been done before? Or are you trying to perform a replication study and see if you can find the same associations in your population that were found in another study? 3.Maybe you are using a different type of study population or different study design? How is your study different (or unique) than those in your literature review?

Methods This where we want you to focus more on variables and statistical analysis plan, since you did not collect the variables yourself. Here is some helpful information: 1.Study Population a.There were 300 adults, men and women, who agreed to participate in this research study and completed the questionnaire. The participants were recruited from a racially and economically diverse neighborhood. The overall response rate was 30%. The convenience sample was restricted to those individuals who resided in the community and the only exclusion criteria was age (only adults were surveyed). 2.Data Collection a.Questionnaires and interviews were performed in this cross-sectional study to obtain sociodemographic characteristics, health outcomes and behaviors, and attitudes. No follow up was performed for this study population and data was collected anonymously without personal identifying information. 3.Measures a.This is where you really need to focus on your research study. What variables did you study? What was your outcome variable? What was your exposure variable? What other variables (e.g. sociodemographic) did you study? 4.Statistical Analysis a.What was your statistical analysis plan? Did you perform frequencies and mean/SD for descriptive statistics? Did you perform chi-square, ANOVA, and/or correlation for your univariate analysis? You are going to perform regression for your multivariable analysis, for your information, and using stepwise backwards regression. You will be using SPSS for your data analysis.

Results – Descriptive Statistics This where you describe your study population. 1.Using Table 1, summarize your study population. Give % (n) for dichotomous or categorical and mean (SD) for continuous variables. 2.Now summarize your stratified descriptive characteristics. For instance, give your % (n) for each variable (or mean [SD]) for men and for women; for those with HPV and those without HPV; for those with childhood ear infections and those without childhood ear infections; for those who exercise and those who do not exercise, etc.

Table 1 – Descriptive Statistics For example:

Results – Univariate Analysis This is where you highlight your significant findings. 1.What was significantly associated with the outcome? This is univariate analysis. List each variable and their OR (and 95% CI). 2.E.g. The following characteristics were each significantly associated with lung cancer: 1.History of Smoking: OR=3.6 (95%CI=3.2, 4.5) 2.Packs a Day: OR=3.6 (95%CI=3.2, 4.5) 3.Method of Consumption: OR=3.6 (95%CI=3.2, 4.5) 4.Age: OR=3.6 (95%CI=3.2, 4.5) 5.Gender: OR=3.6 (95%CI=3.2, 4.5) 6.Income: OR=3.6 (95%CI=3.2, 4.5)

Table 2 – Univariate Analysis For example:

Results – Multivariable Analysis This where you highlight your significant findings. 1.What was significantly associated with the outcome in the final multivariable model? This is multivariable regression modeling. List each variable in the final model and their OR (and 95% CI). 2.E.g. In the final multivariable model, lung cancer was significantly associated with history of smoking, packs of cigarettes a day, and method of tobacco consumption, after adjusting for age, gender, and income. 1.History of Smoking: OR=3.6 (95%CI=3.2, 4.5) 2.Packs a Day: OR=3.6 (95%CI=3.2, 4.5) 3.Method of Consumption: OR=3.6 (95%CI=3.2, 4.5) 4.Age: OR=3.6 (95%CI=3.2, 4.5) 5.Gender: OR=3.6 (95%CI=3.2, 4.5) 6.Income: OR=3.6 (95%CI=3.2, 4.5)

Table 3 – Multivariable Analysis For example:

Discussion Discuss the major findings of your study. What are you implications? Where do you go from here? What are your future directions?

Limitations and Bias What are the limitations of this study? What are the potential biases that were present?

Reference List List your references in APA style. For example: