8000

Admission to the Doctor of Nursing Practice program. This course focuses on the foundational concepts for developing clinical research within diverse practice settings. Practice inquiry, synthesis, analysis, information literacy, ethical considerations, leadership, communication, collaboration, and quality improvement are emphasized.

Prerequisite: Admission to the Doctor of Nursing Practice program. This course provides the graduate student the opportunity to identify and begin to develop a project that will lead toward applying and translating evidence based research into practice. This is the first in a three part series that prepares the DNP student to demonstrate advanced clinical judgment and implement a scholarly project geared to improved practice outcomes in the student's clinical area of expertise.

Admission to the DNP program. This course is designed to prepare the advanced practice nurse for use of epidemiologic methods to examine patterns of illness or injury for disease prevention and health promotion efforts among target populations.

Admission to the DNP program. This course emphasizes the application of univariate and multivariate statistical analysis methods to answer research questions and test hypotheses about clinical research data. The course includes addressing threats to statistical conclusion validity such as Type I and Type II error, determining the level of measurement of study variables and how this influences the choice of statistical tests, formulating an analysis plan based on research questions/hypotheses, and conducting and interpreting the output of statistical analyses. Multivariate statistical approaches in both analysis of variance and linear regression frameworks are presented. In addition, the course addresses complex analytic situations including analysis of change, repeated measures, and multiple correlated dependent variables.

Prerequisite: Admission to the Doctor of Nursing Practice program. This course focuses on the proficiency to design and use information systems/technology to support and improve patient care and health care systems, and to provide leadership within health care systems and/or academic settings. Skills development includes data extraction and analysis to evaluate and improve programs and outcomes of care. Learners will apply knowledge and principles for selecting and evaluating information systems and patient care technology for selecting and evaluating information systems and patient care technology within the related ethical, regulatory, legal, and public policy environment.

Prerequisite: Admission to the Doctor of Nursing Practice program. This course covers basic economic theory, market drivers, and restraints, health care finance and reimbursement, cost/benefit analysis and health care entrepreneurism. Theory and application are integrated throughout the course with a particular focus on the clinical role of the DNP within the contemporary health care environment.

Admission to the DNP program. This course is designed to explore the role of the doctorally-prepared nurse in effecting change in the regulatory, legislative, and public policy arenas at the local, state, national and global levels. Quantitative decision making models are examined in relation to policy decisions. Ethical inquiry addresses access to health care and utilization and allocation of scarce resources.

Prerequisite: Admission to the Doctor of Nursing Practice program. This course focuses on the doctor of nursing practice role in addressing the needs of vulnerable populations from the perspective of health. Selected issues in evaluating evidence based practice with vulnerable populations will be discussed. Strategies to foster health promotion, health protection and health restoration will be explored. Students will select a vulnerable population and conduct a critical analysis of the science in a specific topic area.