Statistical Analysis of a Clinical Question

  Part 1: Define Your Clinical Question (PICO Format) Develop a clearly defined clinical question using the PICO format (Population, Intervention, Comparison, Outcome). Example: In adult patients with hypertension (P), how does a nurse-led lifestyle intervention (I) compared to usual care (C) affect blood pressure levels (O)? Part 2: Select a Dataset Use one of the following: • A publicly available health dataset (e.g., CDC, NHANES, WHO) • Simulated data provided by the instructor • De-identified clinical data with appropriate IRB clearance Part 3: Perform Descriptive Analysis • Summarize key demographic variables • Report measures of central tendency (mean, median) and variability (standard deviation, range) • Create at least 2 visualizations (e.g., histogram, box plot, bar chart) Part 4: Conduct Inferential Analysis Choose an appropriate statistical test to answer your clinical question: • T-test, chi-square, ANOVA, correlation, linear/logistic regression, etc. • Justify your choice of test • Report the test statistic, p-value, and interpret the result Part 5: Interpretation and Clinical Relevance Write a brief discussion (300–500 words) explaining: • What the statistical findings mean in the context of your clinical question • Implications for nursing practice or healthcare decision-making