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Mental health issues are a growing concern for individuals and the public. When patients do not attend their mental health appointments they place themselves at risk for poor health outcomes including worsening of symptoms, relapse, hospitalization, or danger to self and other behaviors. The breadth, background, and significance of this issue were investigated to determine a clinically relevant PICOT question. These elements of the PICOT question were investigated and high-quality evidence was gathered, analyzed, and synthesized in order to develop recommendations for an evidence-based project to help with no-shows at a non-profit integrated healthcare organization that is experiencing a high incidence of no-shows. The Quality Health Outcomes Model and Ottawa Model of Research Use guide the implementation and monitoring of the project.
A chart review was completed in order to understand the impact of a novel automated reminder system on the no-show rate for all psychiatric appointments for 18 months. Additionally, demographic and appointment information was gathered to identify trends in the data and factors related to appointment status. The no-show rate significantly increased in 2019 with the new reminder system. No-shows occurred significantly more in males, tele-medicine appointments, and hospital discharge appointments. There were significant differences in no-show rates observed between reported races, with different providers, and at different practice locations. This gap analysis has provided insight into further projects and work to be completed in order to decrease no-shows, improve treatment compliance, produce better health outcomes, and increase revenue for this organization.
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.
Background: Influenza presents burdens for children with chronic respiratory conditions including increased mortality, morbidity, hospitalizations, and decreased quality of life for children and caregivers. Influenza vaccinations may reduce these complications yet approximately half of children remain unprotected annually. Synthesized evidence supports integration of text messaging into a multi-component strategy to increase the influenza vaccination rate in many populations of interest.
Methods: The intervention was a single text message and electronic mail message sent to all families in a private pediatric pulmonology practice who enabled text and/or electronic mail messages in the patient portal. A follow-up survey assessed various aspects of message receipt. Surveys were completed without collection of demographic information.
Results: Electronic mail messages were sent to 3140 addresses available in the patient portal. The number of text messages sent out via the patient portal was 75 with 66 (88%) delivered successfully. Follow-up surveys were initiated by 107 recipients. Frequency analysis showed that participants preferred text and electronic mail messages over other forms of communication. A statistically significant positive relationship was found utilizing Chi Square between those who received a message and those whose child received an influenza vaccination (p= .027).
Conclusions: Text and electronic mail messaging are cost-effective and well-received forms of communication that can be easily integrated into existing systems. These delivery routes are translatable to many populations and can convey various types of messages.