Programs and Communities
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- All Subjects: Diabetes Mellitus
- All Subjects: Asthma
Diabetes, a common chronic condition, effects many individuals causing poor quality of life, expensive medical bills, and devastating medical complications. While health care providers try to manage diabetes during short office visits, many patients still struggle to control their diabetes at home. Lack of diabetes self-management (DSM) is a potential barrier for people with diabetes having to maintain healthy hemoglobin A1cs (HgA1c).
In hopes of addressing this concern, an evidenced-based intervention; diabetic education and phone calls, using the chronic care model as its framework was implemented. The intervention targeted people with type II diabetes at a transitional care setting. Measured variables included HgA1c and DSM. Statistically significant improvements were seen in reported physical activity. Average improvements were seen in HgA1c and DSM after three months of diabetes self-management education (DSME). Attrition, cultural sensitivity, and increasing DSME hours should be further evaluated for future projects.
Background and Purpose: Over 30 million people in the United States (U.S.) have diabetes mellitus, which comprises about 9% of the population, and about 90% of individuals with diabetes have type 2 diabetes (Centers for Disease Control and Prevention [CDC], 2017). Adults with type 2 diabetes at a local internal medicine clinic were consistently having high glycated hemoglobin (HbA1C) levels, demonstrated by data collected from the electronic health record (EHR), and there was no ordering process for referring patients to diabetes management education and support (DSMES) services. The purpose of this project was to improve glycemic control, demonstrated by lower HbA1C levels, and reach a diabetes education attendance rate of 62.5% at an internal medicine clinic in Chandler, Arizona.
Methods: An electronic health record (EHR) template was created and brief staff training was completed to connect patients with diabetes in the community to a local formal diabetes education program. HbA1C levels were measured before and three months after adults with education program. HbA1C levels were measured before and three months after adults with type 2 diabetes mellitus (T2DM) received physicians’ orders for a DSMES program, and rates of attendance to the program were calculated. Data was collected through the EHR and through feedback from the DSMES program. Descriptive statistics were used in data analysis.
Outcomes: The participants’ results did not demonstrate significant differences in pre-referral and post-referral HbA1C results after they were ordered DSMES services (p = .506). The proportion of education attendance (30%) was lower than the project goal of 62.5%, but increased from the clinic baseline.
Conclusions: EHR template implementation for referral to DSMES may increase rates of formal diabetes education and improve glycemic control. Larger sample sizes, longer project periods, alternative methods of communication, and increased follow-up of participants may be required to produce significant results.
Background: The global prevalence of all types of diabetes increased from 108 million in 1980 to 422 million in 2014 (Nazir et al., 2018). The Centers for Disease Control and Prevention (2017) ranks diabetes as the 7th leading cause of death in the United States with an estimated annual expense of $327 billion. Within the rural setting, patients typically have less resources available for the treatment and self-management of their diseases. It is important to explore self-management techniques that can be utilized by patients with type 2 diabetes living in rural areas. Research demonstrating the importance of education, exercise, diet, glucose monitoring, medications, and supportive measures is prominent throughout the literature.
Objective: The purpose of this Doctor of Nursing Practice (DNP) applied project is to investigate the effects of delivering biweekly text messages containing diabetes self-management education (DSME) materials to patients in an effort to support successful self-care.
Methods: During an 8 week period, DSME was provided via text messaging, bi-weekly (Sunday and Wednesday), to 23 rural participants with type 2 diabetes, in a family clinic in Payson, Arizona. Participants were asked to complete the Skills, Confidence, and Preparedness Index both pre- and post-intervention to evaluate their knowledge of diabetes self-management.
Results: Twenty-three adults aged 52 to 78 years (M = 64.91) participated in the project. Of the participants, 57% (13/23) were female. The majority of participants had T2DM diagnosis less than 10 years (M=13.8 years). There was a statistical difference between the pre- and post-Skills, Confidence and Preparedness Index questionnaire (p < .001) indicating an improvement in self-efficacy scores post- intervention.
Conclusion: DSME delivered via text message is a cost-effective way to increase patients' self-efficacy and potentially improve their ability to successfully self-manage their disease.
Background: Asthma is a chronic illness that impacts 10.9% of the pediatric population in Arizona. Poor asthma understanding and management leads to high-utilization of emergency rooms and urgent care clinics, negatively impacting the healthcare economy. Poor asthma management also leads to decreased health outcomes and impacts on the child’s academic functioning, mental health, and overall quality of life. Current evidence supports use of written asthma action plans (WAAP) and inhaler/spacer instruction to improve asthma management.
Methods: The intervention was an evidence-based educational session provided to the staff of a military, pediatric primary care clinic in southwest Arizona regarding the use of WAAP, the Asthma Control Test (ACT) and integrated inhaler/spacer instruction. Chart reviews were conducted to evaluate the documentation of use of WAAP, ACT, and inhaler/spacer education.
Results: Charts were collected from pre-intervention (n = 33) and post-intervention (n = 18). Data analysis demonstrated a statistically significant higher use of WAAP (U = 0.008, p < 0.05, d = 0.83). Although there was not a statistically significant change in use of ACT tool, Cohen’s value (d = 0.48) suggested a moderate positive effect. A Pearson correlation coefficient was also calculated for the relationship between use of ACT tool and use of WAAP, demonstrating a moderate positive correlation (r (49) = .372, p < .01).
Conclusions: An evidence-based education session for pediatric staff members is a cost-effective and simple method of improving pediatric asthma management practices.
Diabetes is a leading cause of morbidity in the world. About 42 million people worldwide have
diabetes. Poorly managed diabetes leads to long term complications and mortality. Diabetes self-management education (DSME) has been effective in preventing or delaying complications.The purpose of this project is to implement a diabetes self-management education (DSME)
program in primary care and to evaluate its impact on glycemic control and diabetes knowledge in a selected group of adults 18 years or older in a community-based practice.
Interprofessional collaboration (IP) is an approach used by healthcare organizations to improve the quality of care. Studies examining effects of IP with patients with type 2 diabetes mellitus (T2DM) have shown improvement in A1C, blood pressure, lipids, self-efficacy and overall greater knowledge of disease process and management. The purpose of this project was to evaluate the impact of IP with attention to identifying and addressing social needs of patients with T2DM. Participants at least 18 years of age with an A1C >6.5% were identified; Spanish speaking patients were included in this project. The intervention included administration of Health Leads questionnaire to assess social needs. Monthly in person or phone meetings were conducted during a 3-month period.
The patient had the option to meet with the doctor of nursing practice (DNP) student as well as other members of the team including the clinical pharmacist and social work intern. Baseline A1C levels were extracted from chart at 1st monthly meeting. Post A1C levels were drawn at the 3 month follow up with their primary care provider. Study outcomes include the difference in A1C goal attainment, mean A1C and patient satisfaction. Pre A1C levels in participants ranged from 7.1% to 9.8% with a mean of 8.3%. Post A1C levels ranged from 6.9% to 8.6% with a mean of 7.7%. Two cases were excluded as they did not respond to the intervention. A paired-samples t test was calculated to compare the mean pre A1C level to the post A1C level. The mean pre A1C level was 8.24 (sd .879), and the post A1C level was 7.69 (sd .631). A significant decrease from pre to post A1C levels was found (t (6) = 2.82, p<.05).
The prevalence of Type 2 Diabetes is on the rise, as are the costs. This nation’s healthcare system must promote interprofessional collaboration and do a better job of addressing SDOH to more effectively engage patients in the management of their disease.
Diabetes mellitus (DM) is a detrimental disease that afflicts approximately 23.6 million Americans and costs $176 billion dollars annually in direct medical expenses (American Diabetes Association [ADA], 2015). Approximately 208,000 children and adolescents with diabetes are under the age of 20 years (ADA, 105; CDC, 2014). Currently, the standard of medical practice in school-aged children and adolescents with type 1 diabetes is to administer insulin after the child or teen has eaten. The most current evidence has demonstrated a decrease hemoglobin A1C (HbA1c) and preference for pre-prandial insulin administration (Cobry et al., 2010; Danne et al., 2003; DePalma et al., 2011; Enander et al., 2012; Luijf et al., 2010; Scaramuzza et al., 2010).
This Doctor of Nursing Practice (DNP) project delivered an educational program for parents of school age children and adolescents with type 1 diabetes and instituted pre-prandial insulin administration as the standard of care in an outpatient pediatric endocrine clinic. Education was delivered in both verbal and written formats. Data collection included weekly blood glucose reports and HbA1c at initial and follow-up sessions. Descriptive statistics were utilized to analyze the data. No post intervention data was able to be collected due to participant drop out. Future directions to promote this practice change are discussed.