The purpose of this project was to evaluate the utilization of a smartphone application for diabetes self-management education (DSME) into a family practice office. Cochrane review of technological options for DSME identified the smartphone as the most effective option. All patients with diabetes presenting in a family practice office for appointments with the clinical pharmacist or the physician were asked if they would participate in the project if they met the inclusion criteria including the diagnosis of diabetes, owning a smart-phone, and over 18 years old. Exclusion criteria were pregnancy, end-stage kidney disease, or use of an insulin pump.
The goal was to enroll at least 10 patients and have them utilize the smartphone application Care4life for education and blood glucose tracking. HbA1c, heart rate, blood pressure, weight, and body mass index were collected at the initiation of the trial in addition to a demographic survey. A survey was obtained at the end of the trial. Ten patients were enrolled in the project; 50% women. One patient discontinued participation after enrollment. Six patients returned their surveys.
The feedback was primarily positive with individuals liking the text messaging reminders and ability to track their matrix (blood pressure, blood glucose, weight, medication adherence, exercise). Continued utilization of the smartphone application within the practice is likely for those patients who enjoy the technology as a reminder. Further opportunities for implementation would be in a hospital setting where patients face a delay post discharge for an appointment with a diabetes educator. Additionally, due to the complexity of the disease this application could be used to educate caregivers.
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.
Introduction: More than 1.2 million children in military families face long separations from a parent due to deployment or extended assignment, which can lead to significant family dysfunction as well as behavioral, emotional, and scholastic problems for the child. The purpose of From Caring 2 Coping is to identify and provide healthcare providers of military children tools to recognize and address maladaptive and externalizing behaviors of these children, while also assisting the nondeployed parent or caregiver to provide their children with the necessary support to reduce stress and increase their own coping skills.
Materials and Methods: After approval from Arizona State University IRB, children aged 4-11 years who are currently or forecasted to be separated from a military parent due to a deployment or extended assignment, were recruited from a military pediatric clinic along with their primary caregiver. An intervention was adapted from Bowen and Martin’s (2011) Resiliency Model of Role Performance for Service Members, Veterans, and their Families to identify and improve individual assets and family communication skills, find support through social connections, and prepare for potential stressors by constructing a Roadmap of Life. The Parental Stress Scale (PSS) and Pediatric Symptom Checklist (PSC-17) were completed before and after the 4-week intervention along with a final caregiver survey to evaluate the caregiver’s perceptions of From Caring 2 Coping.
Results: Four mothers and eight children completed the program for which Wilcoxon matched-pairs signed-rank test compared results from pre- and post PSC-17 surveys from the children showing significant improvement post-intervention (p = 0.017). The post PSC-17 results were compared to post PSS results with Spearman Correlation Coefficient, r = 0.949, that is statistically significant (p = 0.05). From Caring 2 Coping is rated as an effective program by parents in a postintervention survey that is easy to incorporate into daily activities. Parents ranked highest satisfaction through use of the Family Communication Plan and Family Timeline.
Conclusions: From Caring 2 Coping intervention tools improved family communication, use of individual assets and Roadmap of Life coping skills, thereby improving child and caregiver coping response as evidenced by improved PSC-17 and PSS scores. Basing the intervention on the Resiliency Model of Role Performance which has proven successful in the military population, improves the chances for success in this target population. However, the small sample size of four families requires further study with more families at all levels of the deployment cycle in order to refine the intervention.