The Doctor of Nursing Practice Final Projects collection contains the completed works of students from the DNP Program at Arizona State University's College of Nursing and Health Innovation. These projects are the culminating product of the curricula and demonstrate clinical scholarship.

Collaborating Institutions:
College of Nursing and Health Innovation
Displaying 1 - 2 of 2
Filtering by

Clear all filters

162133-Thumbnail Image.png
Description
Sedation exists along a continuum; and, it is impossible to predict a patient’s exact response to a medication administered to induce any level sedation. Under the direction of a licensed independent practitioner (LIP), registered nurses (RN) in the Emergency Department (ED) have been permitted to administer propofol for time-sensitive,

Sedation exists along a continuum; and, it is impossible to predict a patient’s exact response to a medication administered to induce any level sedation. Under the direction of a licensed independent practitioner (LIP), registered nurses (RN) in the Emergency Department (ED) have been permitted to administer propofol for time-sensitive, moderate sedation procedures (e.g. orthopedic reductions). In 2019, this changed when a Board of Nursing (BON) in the Southwestern United States posted an Advisory Opinion (AO) limiting the circumstances under which acute care RNs could administer propofol. The purpose of this doctoral project was to revise the 2019 AO to remove specific medication names and to generate recommendations for aligning hospital-based adult sedation policies and procedures (P&P) with the revised AO. In May 2020, the BON enacted the revised AO. Enactment endorses RNs practicing at the top of their scope and justifies amending existing hospital-based sedation P&Ps. Not restricting nurses’ scope of practice according to medication name supports medication selection based on patient condition and clinical situation and safeguards provision of timely, personalized healthcare to communities statewide.
Created2021-04-18
562-Thumbnail Image.png
Description

Background: 
Approximately 1 in 5 U.S. school-aged children are obese. There are many known health complications associated with obesity including premature death. Family-based obesity interventions that promote healthy lifestyle habits are effective at enabling children to make changes needed to avoid long-term health complications associated with obesity. The purpose of this

Background: 
Approximately 1 in 5 U.S. school-aged children are obese. There are many known health complications associated with obesity including premature death. Family-based obesity interventions that promote healthy lifestyle habits are effective at enabling children to make changes needed to avoid long-term health complications associated with obesity. The purpose of this evidence-based practice intervention was to evaluate the effectiveness of a family-based obesity intervention on familial lifestyle behaviors related to nutrition, physical activity, and screen time.

Methods:
Two overweight-obese children (according to CDC criteria) ages 8-12 years old visiting a pediatric primary care clinic in a suburban neighborhood located in the southwest region were recruited to participate in this evidence-based practice intervention based on inclusion and exclusion criteria. Familial lifestyle behaviors were assessed using the Family Health Behavior Scale (FHBS) prior to receiving an educational intervention addressing nutritional, physical activity, and screen time recommendations and again after following these recommendation for 6-weeks. Additionally, scheduled follow-up phone calls were made every 3 or 6-weeks addressing any parental questions that surfaced. Data was insufficient for statistical analysis, however, anecdotal recommendations for future implementation of this intervention resulted.

Results:
Of the two patients who participated, pre- and post-intervention data was only attainable from one patient. That patient did have improved scores within each of the 4 FHBS subscales (parent behaviors, physical activity, mealtime routines, and child behaviors). Overall, 11 of the 27 behaviors assessed improved, 12 behaviors resulted in no change, and 4 behaviors worsened. Recommendations related to a more successful implementation of this intervention in the future include improved provider participation (buy-in), utilization of broader inclusion criteria, consideration of the implementation time-frame, and application of the Health Belief Model for addressing existing barriers for each patient prior to implementing the intervention.

Conclusions:
In order to determine the effectiveness of this intervention a larger sample size and completed post-intervention data are needed. The small sample size and lack of post-intervention data inhibits proper data analyzation and significance from being determined.

ContributorsAgliano, Courtney (Author) / Crawford, Daniel (Thesis advisor)
Created2018-05-02