In an EBP Project, the independent variable is the variable that is varied or manipulated by the researcher whereas the dependent variable is the response that is measured. For instance, in the research of how doses of a drug affect the severity of symptoms, the project should compare the frequency and intensity of symptoms when different doses are administered. In this case, the independent variable is the dose and the dependent variable is the frequency and intensity of the symptoms (Joseph, 2019).

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In evaluating the outcome of EB projects, collection of dependent and independent variables is essential. One of the dependent variables that I would collect in my project is the health outcomes of the surgical patients undergoing surgery within the heath care organization. This is because this variable is determined by the application of pre-warming methods on the patients before, during and after the surgery. This evaluation would help in assessing the successful implementation of the change that I shall propose to the hospital. An independent variable that I would collect is for instance the uptake of pre-warming methods within the health care organization (Shihe, 2010). The uptake of evidence in nursing practice helps in determining the prevalence of the illness and the health outcomes associated with the condition among the surgical patients in the organization.


Joseph, M. (2019). Dependent and Independent Variables in Evidence-Based Practice-Nursing. The Nursing Ace, 3-8.

Shihe, F. (2010). Independent Variable. Encyclopedia of research Design, 592-594.


For my EBP project of a discharge education checklist for heart failure patients, the dependent variable would be: rate of readmission. The Independent variables would be: Age, Gender, Marital Status, Education Level, Financial Status.

Because this project is to provide health education before discharge to reduce the readmission rate in patients admitted with heart failure, when assessing the patient’s health literacy I must take into consideration several factors that could contribute to their level of knowledge; for example, sociodemographic factors such as age, gender, marital status, education level, and income. It is necessary to collect these independent variables. The reduction of readmissions rate would be dependent on the patient’s health literacy.

 Arpey, N. C., Gaglioti, A. H., & Rosenbaum, M. E. (2017). How Socioeconomic Status Affects Patient Perceptions of Health Care: A Qualitative Study. Journal of primary care & community health8(3), 169–175.

 Lee E. W. (2012). Selecting the best prediction model for readmission. Journal of preventive medicine and public health = Yebang Uihakhoe chi45(4), 259–266.

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