Implementation of the DNP Project: Future Implications
Covariates: Use statistical controls for potential confounders, such as years of experience and prior knowledge.
Planned Analysis of Evaluation Data
Descriptive Statistics: Summarize demographic data and baseline characteristics. Central tendency statistics will be used for quantitative variables (mean, median) according to the sample distribution model.
Inferential Statistics: T-tests (or non-parametric alternative): To compare pre- and post-intervention knowledge scores within and between groups.
ANOVA (or non-parametric alternative): To analyze differences in patient outcomes between groups.,
Regression Analysis: To identify predictors of successful knowledge acquisition and practice changes.,
Protection of Human Rights and Health Information Privacy
Informed Consent: Obtain informed consent from all participants, clearly explaining the study’s purpose, procedures, risks, and benefits.
Confidentiality: Assign unique codes to participant data to ensure anonymity. Store data securely and limit access to authorized personnel only.
IRB Approval: Obtain approval from an Institutional Review Board (IRB) to meet ethical standards.
HIPAA Compliance: Ensure all data handling complies with the Health Insurance Portability and Accountability Act (HIPAA) to protect patient information.
Potential Barriers and Facilitators APA