Methods and Implementation
Determine any survey instruments or other research tools needed for your project.
Determine on what level your project will occur and create a strategic plan for data collection (e.g. patient, practice, community level). Discuss how data collection can occur with your community partner
Develop a database for data from any surveys, interviews, other data collection (use your project folder accessed on your Data page).
Observational Data: This data will be gathered in person during in person Talbert House primary care shadowing. I will observe how patients are processed through the clinic and patient-clinical staff interactions, making note of positive and negative interactions in the clinic.
Interview Data: This data will be gathered from two groups: Talbert House primary care patients and non-primary care participants. Interviews will occur either via phone or in person before or after a clinic visit. Participants will be read a brief standardized statement describing the nature of the research and how this data will be used. The interview should take no longer than 15 minutes. The interview will consist of closed and open-ended questions pertaining to primary care participation and perceptions of clinic and clinical staff.
Health Stats Data: A1c scores from patients will be accessed via Talbert Houses EMR. I will receive access from Connie Freking. This will be done in Talbert House’s clinic under the supervision of clinical staff.
Participants will be patients treated by Talbert House primary care with current diagnosis of diabetes or a history of previous A1c of 6.5 or higher. The participants will be recruited in one of three ways: 1) asked by the MA during the rooming process if they’d like be interviewed in-person for 10 min after their appointment or 2) patient will be asked for permission to call to complete interview over-the-phone instead of in-person at the time of their appointment or 3) Talbert House patients with diabetes diagnosis/diabetic range A1c will be contacted and asked to complete the survey over the phone.
Each Interviewee will verbally consent to the interview which will be audio recorded (see “What data will be collected below”).
For sufficient data I plan to interview two clinical staff involved at each of Talbert House’s 3 locations and 5-10 total patients across all three locations.
The data being collected will consist of:
My own ethnographic observations while shadowing at Talbert House including care team -patient dynamics and the physical clinical environment.
Interview data from staff and patients based on open-ended interview questions which will be audio recorded. The audio recordings will be stored using the secure University of Cincinnati- operated One Drive folder.
In addition to the audio from the interviews I will take my own personal notes about the interaction on a Word document that will similarly be stored on the secure OneDrive course drive.
These interview data will be used to create an ethnographic write-up of my cumulative observations of Talbert House, its clinical staff, and patients. Additionally, I will perform thematic and sentiment analysis to distill the data into common themes that can be used to inform how Talbert House approaches program engagement in the future.
A1c data
A1c data will be stratified into the following groups: Talbert House Primary Care (THPC) Participation Group defined as having 2+ visits in the past year with diabetes or elevated A1c listed in the problem list for the visit, Non-Participation Group w/o outside PCP, having less than or equal to 1 visit with THPC with no other outside PCP, and Non-participation Group w/ outside PCP having less than or equal to 1 visit with THPC but is seeing outside PCP more than 2+ a year for diabetes management per patient interview.
These data will have names removed and analyzed via ANOVA test to determine if there is any difference in A1c management base on degree of Talbert House medical program participation.