Doctor of Nursing Practice (DNP) Final Projects

Obesity is a significant national public health crisis, affecting one-third of American adults. It is a complex and multifactorial disease that increases the risk of multiple chronic medical conditions including coronary heart disease, diabetes, and even leading to potential premature mortality. Moreover, increased health care utilization and escalating medical costs associated with obesity treatment are overwhelming an already burdened health care system. Obesity is nondiscriminatory, affecting individuals from various demographic and socioeconomic backgrounds, even extending to our unique population of active duty military service members and veterans.

Despite mandatory physical fitness and body composition requirements, active duty service members continue to experience an increasing prevalence of obesity. The obesity epidemic has considerable implications for military readiness, accession, and retention. Limited studies have examined weight-loss interventions including self-paced and provider-led interventions among active duty military service members with varying degrees of success. The purpose of this evidence based doctoral project was to examine the effectiveness of a twelve-week group lifestyle intervention involving education regarding healthy diet, physical activity and behavior change recommendations on weight and body mass index (BMI). The study demonstrated no significant differences in initial and post intervention weight and BMI.

Purpose: Assess provider perceptions on care coordination, collaboration, teamwork, and shared decision-making practices pre and post a brief educational intervention on interprofessional collaboration (IPC).

Background and significance: A lack of care coordination and active follow up in the outpatient setting of individuals living with mental illness places this population at high risk for developing various comorbidities. Care coordination across care providers and patients in a IPC, patient-centered treatment model of care is an intervention that can reduce this barrier to care.

Methods: At a behavioral health clinic in the southwestern United States (U.S.) twenty-two participants were assessed via the Collaborative Practice Assessment Tool (CPAT), before and after an educational presentation on IPC care. The CPAT is a tool that was developed to assess collaborative practice within teams and help identify needs for professional development.

Results: Statistical significance was found from pretest to posttest scores (t(21) = -1.936, p = .066). Statistical significance was found in two of the eight domains; mission, meaningful purpose, and goals (p = .009) and decision-making and conflict management (p = .058). Increases in posttest scores were seen in all eight domains.

Conclusions: Training behavioral health professionals in IPC practice and teambuilding may facilitate improved clinical team experiences and communication. Behavioral health professionals treating individuals living with serious mental illness (SMI), IPC training could prepare providers to work more effectively and efficiently in the delivery of patient-centered care in this population with complex health care needs.

Purpose: The purpose of the project was to improve physical activity (PA), eating habits (EH) and self-efficacy (SE) by implementing short lifestyle modification education in a rural primary care setting.

Background: Although prediabetes awareness has slightly improved, the nationwide unawareness remains high. General knowledge about the disease and its risk factors and prevention are significant variables to adopt health-promoting behaviors. Lifestyle change intervention has been shown to be effective with the risk reduction behaviors in prediabetic population. However, it can be a daunting task to translate during short office visits.

Methods: Sixteen participants with risk for prediabetes or diagnosed prediabetes enrolled into a 5-minute education session in a rural health clinic. They received follow-up phone calls weekly for 4 weeks. Demographics, PA, EH and SE levels were measured before the education session. During the fourth week, PA, EH and SE were measured again. Frequency, descriptive analysis, and paired t-test were used for data analysis.

Outcomes: The mean age of participants was 56.6  13.0 years. Approximately 81% were female, and 62.5% identified as Caucasian. Over 80% reported married, and 56.3% described their health condition as good. The three quarters (75%) noted they have heard of the term prediabetes. The intervention had a significant effect on PA, EH and SE from the baseline to post intervention, p = .005, p = .008, and p = .003, respectively.

Conclusion: This DNP project illustrated that one time brief lifestyle change education could positively impact PA, EH and SE in people with high risk for prediabetes in a primary care clinic.

Seclusion and restraint (SR) continue to be used in psychiatric settings when a patient is a harm to self or others despite growing concern and calls to eliminate the practice due to its harmful, potentially life-threatening effects on patients. The purpose of this evidence-based project was to assist a hospital in the southwestern United States decrease their seclusion and restraint rates among their adolescent patients. Trauma-informed care approaches have been shown to significantly reduce the incidence of SR in inpatient settings.

The nurses and behavioral health technicians (BHTs) received a two-hour trauma-informed care training in November of 2019. SR rates three months pre-training and post-training were compared. In the three months prior to the training, SR rates averaged 23.4 events per 1000 patient days. Comparatively, the three months after the training SR rates averaged 19.5 events per 1000 patient days. This shows a clinically significant decrease in SR rates after the TIC training. This evidence-based project (EBP) highlights the need to address this problem and gives an intervention option that can reduce harm for patients and address the needs of healthcare organizations seeking to improve patient care.

Introduction: Despite depression affecting one of every ten adolescents, primary care providers struggle to detect depression in affected individuals. Unmanaged early onset adolescent mood disorders have an increased potential to result in suicide, the second leading cause of death in adolescents. Referring all patients with a positive depression screen to a mental health specialist creates treatment delay and burdens already limited community resources.

Objective: The objective of this primary care practice transformation was to improve pediatric primary care provider confidence and behavior to support and deliver evidence-based behavioral healthcare for adolescents with mild to moderate depression.

Methods: An evidence-based adolescent depression education program was delivered to pediatric primary care providers in a small community setting. The program’s components included measures to identify and manage mild to moderate depression. Outcome measures included: 1. Provider knowledge, beliefs, and confidence measured pre- and post-intervention; and 2. Electronic health record documentation of provider adherence to guideline recommendations one, two, and three months post-intervention.

Results: Four providers participated in the intervention. The mean total score for the provider beliefs and knowledge from a 5-point Likert scale demonstrated a positive increase after the intervention (14.75 vs. 23.25, p = .068). The mean total provider confidence score achieved near significance as well (12.25 vs. 21.75, p = .066). Resultant behavior change in the providers did not reach statistical significance when the electronic health records of all adolescent well visits over a three-month period were assessed. Screening for depression at adolescent well visits
Adolescent Depression 3 increased from 0% to 84-90% post-intervention. Setting treatment goals upon detection of depression increased from 0% to 41% (p = .089). Providers appropriately administered active support 67% of the time when a patient was identified with mild depressive symptomology post-intervention. Providers complied with guideline recommendations with identified cases of moderate and severe depression (n = 2).

Conclusions: Pediatric primary care providers demonstrated some positive behavioral changes towards integrating behavioral healthcare into their practice after an educational session on the guidelines for adolescent depression.

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.

Aim: To determine the change in provider’s compassion fatigue after implementing an education-based intervention in behavioral health.

Materials and Methods: A four-part education-based intervention for compassion fatigue was implemented over the course of 16 weeks. The Professional Quality of Life instrument was used to measure compassion fatigue and compassion satisfaction.

Results: Although not statistically significant, mean compassion fatigue scores decreased in the sample.

Conclusion: Based on these results, further exploration into the causative factors of compassion fatigue in behavioral health are recommended.

Background: The cost of substance use (SU) in the United States (U.S.) is estimated at $1.25 trillion annually. SU is a worldwide health concern, impacting physical and psychological health of those who use substances, their friends, family members, communities and nations. Screening, Brief Intervention (BI) and Referral to Treatment (SBIRT) provides an evidence-based (EB) framework to detect and treat SU. Evidence shows that mental health (MH) providers are not providing EB SU management. Federally grant-funded SBIRT demonstrated evidence of decreased SU and prevention of full disorders. Implementation outcomes in smaller-scale projects have included increased clinician knowledge, documentation and interdisciplinary teamwork.

Objective: To improve quality of care (QOC) for adolescents who use substances in the inpatient psychiatric setting by implementing EB SBIRT practices.

Methods: Research questions focused on whether the number of SBIRT notes documented (N=170 charts) increased and whether training of the interdisciplinary team (N=26 clinicians) increased SBIRT knowledge. Individualized interventions used existing processes, training and a new SBIRT Note template. An SBIRT knowledge survey was adapted from a similar study. A pre-and post-chart audit was conducted to show increase in SBIRT documentation. The rationale for the latter was not only for compliance, but also so that all team members can know the status of SBIRT services. Thus, increased interdisciplinary teamwork was an intentional, though indirect, outcome.

Results: A paired-samples t-test indicated clinician SBIRT knowledge significantly increased, with a large effect size. The results suggest that a short, 45-60-minute tailored education module can significantly increase clinician SBIRT knowledge. Auditing screening & BI notes both before and after the study period yielded important patient SU information and which types of SBIRT documentation increased post-implementation. The CRAFFT scores of the patients were quite high from a SU perspective, averaging over 3/6 both pre- and post-implementation, revealing over an 80% chance that the adolescent patient had a SU disorder. Most patients were positive for at least one substance (pre- = 47.1%; post- = 65.2%), with cannabis and alcohol being the most commonly used substances. Completed CRAFFT screenings increased from 62.5% to 72.7% of audited patients. Post-implementation, there were two types of BI notes: the preexisting Progress Note BI (PN BI) and the new Auto-Text BI (AT BI), part of the new SBIRT Note template introduced during implementation. The PN BIs not completed despite a positive screen increased from 79.6% to 83.7%. PN BIs increased 1%. The option for AT BI notes ameliorated this effect. Total BI notes completed for a patient positive for a substance increased from 20.4% to 32.6%, with 67.4% not receiving a documented BI. Total BIs completed for all patients was 21.2% post-implementation.

Conclusion: This project is scalable throughout the U.S. in MH settings and will provide crucial knowledge about positive and negative drivers in small-scale SBIRT implementations. The role of registered nurses (RNs), social workers and psychiatrists in providing SBIRT services as an interdisciplinary team will be enhanced. Likely conclusions are that short trainings can significantly increase clinician knowledge about SBIRT and compliance with standards. Consistent with prior evidence, significant management involvement, SBIRT champions, thought leaders and other consistent emphasis is necessary to continue improving SBIRT practice in the target setting.

Keywords: adolescents, teenagers, youth, alcohol, behavioral health, cannabis, crisis, documentation, drug use, epidemic, high-risk use, illicit drugs, implementation, mental health, opiates, opioid, pilot study, psychiatric inpatient hospital, quality improvement, SBIRT, Screening, Brief Intervention and Referral to Treatment, substance use, unhealthy alcohol use, use disorders