Doctor of Nursing Practice (DNP) Final Projects

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.

The human papillomavirus (HPV) is the most commonly spread sexually transmitted infection in the United States. Although the HPV vaccine protects against transmission of the most common strains of HPV that cause genital warts and numerous urogenital cancers, uptake in the United States remains suboptimal. Failure to vaccinate leaves individuals vulnerable to the virus and subsequent complications of transmission. The evidence demonstrates that provider recommendation alone increases rates of vaccine uptake. The literature does not suggest a specific method for provider recommendation delivery; however, best practice alerts (BPAs) were correlated with increased vaccination rates.

These findings have directed a proposed project that includes an electronic health record (EHR) change prompting internal medicine, family practice and women’s health providers to educate and recommend the HPV vaccine at a Federally Qualified Health Center (FQHC) in the Southwest United States. The project demonstrates that after the implementation of a practice change of a HPV BPA in the EHR, HPV vaccination rates increased. Practice settings pre and post were similar, making the increase clinically significant.

The strengths of this project include an increase in HPV vaccination rates, a sustainable intervention, and an intervention that can easily be replicated into other health maintenance tasks. There were some limitations including the BPA alert only catching the HPV 9 vaccine series and the BPA did not always capturing historical data. Despite these technical barriers the HPV BPA delivered an increase in the HPV vaccine to protect more individuals from the HPV virus, increased provider adherence to national guidelines, and provides a platform for BPAs to be utilized for other vaccines.

Gestational diabetes mellitus (GDM), diabetes diagnosed in the second or third trimester of
pregnancy that is not clearly overt diabetes, has become more common as the rates of obesity in women of childbearing age have increased. Undiagnosed, uncontrolled diabetes in pregnancy can lead to maternal and infant health comorbidities as well as have adverse long-term effects for mother or baby. Although routine screening for gestational diabetes mellitus (GDM) occurs between 24 and 28 weeks gestation, the American Congress of Obstetricians and Gynecologists (ACOG) recommends screening earlier in pregnancy for women at risk for undiagnosed type 2 diabetes. Risk factors include previous history of GDM, known impaired glucose metabolism, or obesity (BMI > 30).

The purpose of this project is to implement the clinical practice guideline for early maternal glucose screening during pregnancy in women with risk factors through the integration of a clinical decision support (CDS) tool in an electronic health record (EHR). CDS tools can be utilized as a point of care strategy to remind providers of the clinical practice guidelines and to assist providers in decision-making related to screening. Participating providers (n=18) utilized the CDS tool during the initial obstetrical visit for at risk women without a pre-pregnancy diabetes diagnosis and entering prenatal care prior to 24 weeks. The impact of
implantation of the CDS tool shows that an increase in screening was statistically significant (p<.001).