Doctor of Nursing Practice (DNP) Final Projects
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.
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- Creators: Crawford, Daniel
Methods: A multifaceted intervention was utilized that included educational sessions for providers, adjustments to the electronic health record (EHR), access to toolkits, and workflow changes. Pediatric patients aged 5-18 years and diagnosed with asthma (N = 173) were evaluated using a pre-post design. Provider adherence to key components of clinical practice guidelines were assessed prior to implementation, and a three and six months post-implementation. Data was analyzed using descriptive statists and the Friedman’s ANOVA by rank.
Results: Provider education, EHR adjustments, provider toolkits, and changes to office workflow improved provider adherence to key aspects of asthma clinical practice guidelines. A significant difference was found between the pre and post implementation groups (p < .01).
Conclusion: Increased adherence to clinical practice guidelines leads to fewer complications and an overall improved quality of life. Continuing provider education is critical to sustained adherence.
Purpose: The purpose of this project was to implement health promotion education for overweight and obese adults with endocrine disorders. The overarching goal was to change dietary intake and improve exercise to reduce the incidence, prevalence, and impact of comorbidities associated with obesity.
Background/Synthesis: Obesity is a significant epidemic facing the nation today with multiple impacts on the national healthcare system. There is often an association between obesity and endocrine disorders such as type 2 diabetes and prediabetes. Both obesity and diabetes cost the nation billions of dollars annually in healthcare costs. Evidence shows that lifestyle modifications related to nutrition and physical activity are effective in weight reduction and prevention of chronic disease, especially when given by a healthcare provider.
Methods: Fifteen adult patients at an endocrinology office in Arizona received individual counseling using the teach-back method focusing on health promotion behaviors through nutrition and exercise with a two-week follow-up phone call. Short-term outcomes measured in this project included changes in dietary intake and exercise behaviors through a pre- and post-test adapted from an obesity-screening tool developed by Greenwood et al. (2008).
Outcomes/Results: Participants were primarily Caucasian and Hispanic, married, female, average age of 50 years, average BMI of 34.5, and some college education. There was a statistically significant increase in health promoting behavior on posttest scores (M=66, SD=6.23, range=58-76) compared to pretest scores (M=61, SD=4.72, range=50-66), t(14)=-2.55, p=0.023.
Conclusions and Implications: Overall, patient health promotion behaviors increased with this educational intervention. Clinical implications include a potential decrease in patient comorbidities related to overweight and obesity. Implications for the greater healthcare system include decreased comorbidities, utilization of healthcare resources, and costs associated with overweight and obesity. Future recommendations would include determining weight and BMI changes over a longer period of time for even better outcome measures.
Keywords: obesity, obese, overweight, health promotion, health education, diet, exercise, nutrition
Background:
Asthma is one of the most common pediatric diseases, affecting 6.3 million U.S. children in 2014, that can result in negative health outcomes if not managed correctly due to it's chronic and complex nature requiring frequent and close management (NHLBI, 2007). The National Heart, Lung, and Blood Institute's (NHLBI) Guidelines for the Diagnosis and Management of Asthma will be implemented into practice to determine the health outcomes of patients before and after guideline implementation.
Methods:
Inclusion criteria includes patients 5-18 years with a history of asthma, recurrent albuterol use, or intermittent symptoms of airflow obstruction. Data will be collected through EHR data reports at pre implementation, 3 months, and 6 months post implementation and will be analyzed using SPSS. Descriptive statistics, paired t-tests, and a Friedman's ANOVA will be conducted to analyze data.
Results:
A Friedman ANOVA was conducted comparing the outcome variables six months priot to the practice change, at three months post implementation, and at six months post implementation. A significant difference was found (x2(15) = 216.62, p<.05). The implementation of the practice change significantly affected the outcome variables.
Conclusions:
In general, the implementation of a practice change to use evidence based NHLBI ERP-3 Asthma Guidelines, along with staff and provider education sessions and creation of standardized assessment and documentation tools resulted in positive changes in the outcomes variables. Findings from this study along with the literature of implementing evidence based asthma guidelines supports similar practice change implementations in other pediatric primary care clinics.
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.