Programs and Communities

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.

Falls are prevalent among those aged 65 years and older and may result in minor to debilitating injuries in this vulnerable population. Frailty, unsteady gait, and medication side effects all contribute to fall risk as well as dementia, a type of cognitive impairment that disrupts memory and judgment leading to an underestimation of fall risk. Fall prevention evidence suggests that interventions aimed at decreasing fall rates begin with a fall risk assessment and tailored fall prevention measures that promote safety.

To examine the effectiveness of a fall prevention program in dementia care, an evidence-based pilot was conducted in a long-term care facility focused on dementia care. A convenience sample of 16 nurses received a fall prevention education intervention. A fall prevention knowledge instrument measured pre and post-fall prevention knowledge. There was a significant increase in fall risk knowledge from the pre-test (p < .001). The participants then conducted a fall risk assessment of 50 dementia patients using the Morse Fall Scale.

Of the 50 dementia patients, 28 were identified as high risk for falls. The nurses then instituted tailored fall risk prevention measures for those high risk for falls. As a result of the pilot, 40 fall events were noted within a three-month time period, reflecting a significant reduction in falls (p < .001) from the previous year. The institution of a fall prevention program in dementia care incorporating nursing education, a fall risk scale, and measures to promote safety can reduce fall risk in dementia patients.

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.

Ineffective transitional care programs for ensuring the continuation of care from acute settings to the home settings post discharge can result in rehospitalization of elderly patients with chronic diseases. Usually, transitional care should be time-sensitive, patient-centered services intended to ensure continuity of care and an efficient transition between health care settings or home. A patient centered transitional care program was implemented at an outpatient primary care facility to reduce readmission rates. Institutional Review Board approval was obtained.

Twenty adult patients with chronic diseases discharged from an acute setting were identified. A follow up phone call and/or a home visit within 24-72 hours post discharge was employed. The Care Transitions Measure (CTM®) and Medication Discrepancy Tool (MDT®) were utilized to identify quality of care of transition and medication discrepancies. A chart audit collected data on the age of participant, diagnosis for initial hospitalization, CTM score, home visit, and ED visits or re-hospitalizations after 30 days of discharge. The outcome indicated that transitional care within primary care utilizing evidence-based practices is beneficial in reducing readmission rates. A logistic regression showed model significance, p = .002, suggesting that the CTM score was effective for both telephone support (TS) and home visit (HV).

A correlation analysis showed that as age of participants increased, the CTM score decreased, indicating that older adults required more support. A significance p <.001, of a proportional test indicated that readmission rates after the intervention was lower. It is evident that providing a timely and effective transitional care intervention in a primary care setting can reduce hospital readmissions, improve symptom management and quality of life of adult patients with chronic diseases.

To investigate the impacts of an energy efficiency retrofit, indoor air quality and resident health were evaluated at a low‐income senior housing apartment complex in Phoenix, Arizona, before and after a green energy building renovation. Indoor and outdoor air quality sampling was carried out simultaneously with a questionnaire to characterize personal habits and general health of residents. Measured indoor formaldehyde levels before the building retrofit routinely exceeded reference exposure limits, but in the long‐term follow‐up sampling, indoor formaldehyde decreased for the entire study population by a statistically significant margin. Indoor PM levels were dominated by fine particles and showed a statistically significant decrease in the long‐term follow‐up sampling within certain resident subpopulations (i.e. residents who report smoking and residents who had lived longer at the apartment complex).

Purpose: To examine the implementation of a web-based depression care management training program to increase home health nurses’ knowledge and attitudes regarding depression.

Background and Significance: The Centers for Disease Control and Prevention reported in 2015 that the incidence of major depression in elderly receiving home health service rose to 13.5% compared to less than 5% with those not receiving care in the community.

Materials and Methods: An intervention program was offered to a convenience sample of home health nurses caring for elderly in the community. The Depression CARE for Patients AT Home (depression CAREPATH), which is an evidenced-based online training program consisting of didactic resources about depression screening and depression care management and e-learning modules. Participants were given a pre and post survey to assess their knowledge of the material. Additionally demographic information was obtained via self-report.

Results: A total of 8 out of 18 home health nurses participated in the study. All were females; 13% Caucasian and 88% were Asian. There’s an average of 37 years old (SD 14.7, range 23-58) and had 3 years of experience (SD 2.07, range <1-6). The mean depression CAREPATH knowledge total pre-test score was 15 (SD 1.85, range 13-18), while the mean total post-test score was 18.13 (SD 0.99, range 17-19). There was a difference in the depression knowledge test scores at baseline. All the participants obtained a passing score for the post-test (80%). The mean R-DAQ total pre-test score was 71 (SD 13.37, range 53-71) and mean total post-test score was 68, (SD 3.48, range 62-70). The professional confidence in depression attitude indicated agreement post intervention, except with the feeling comfortable in working with physical illness than mental illness (pre intervention 62.5%, post intervention 100%). Participants agreed that home health nurses are well placed and more confident in assisting patients with depression (pre Depression Care Management 3 3 intervention 75%, post intervention 100%). In addition, participants felt more confident in assessing suicide risk post intervention in patient s presenting with depression. Based from Wilcoxon Signed-ranks test, there was a statistical difference, z = -2.536, p= .01, between the depression knowledge pre and post-test scores, which indicates that there is an increase in depression knowledge after the intervention. However, there was no significant difference, z = -.846, p = .397 between the depression attitude, which indicate that there is no change in depression attitude after the intervention.

Conclusion: For this sample, depression knowledge was increased post intervention, however, increase in knowledge did not significantly alter the depression attitude. Further study in a larger more diverse sample is needed for this intervention.

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.