Example of the Use of Statistics in Healthcare

In a study, Vaismoradi et al. conducted a systematic review to examine the factors that affect nurses’ adherence to patient safety principles. The research uses statistical methods for quality appraisal, synthesis, and data extraction. The authors demonstrate the use of statistical analysis in the organization and presentation of heterogeneous data by classifying results using Vincent’s framework (Vaismoradi et al., 2020). Following PRISMA principles, the search results, study selections, and characteristics of the selected studies are reported systematically. The article addresses the prevalence of adherence to patient safety principles, offering insights into how closely medical professionals adhere to set protocols. Understanding prevalence facilitates the evaluation of patient safety programs’ overall effectiveness.

In this extensive research, Dyrbye et al.’s study investigates the relationship between burnout among non-physician healthcare workers and direct supervisor leadership practices (Dyrbye et al., 2020). The association between leadership ratings and burnout/satisfaction is examined using mixed models and logistic regression, illustrating the statistical rigor applied in healthcare leadership research.

Statistical Terms Used in The Studies

• Logistic regression: This method evaluates the relationship between leadership scores and the prevalence of burnout and satisfaction among healthcare employees.
• Prevalence: The article reports prevalence rates of adherence to patient safety principles among nurses, providing a quantitative measure of compliance.