1. Self Management of Diabetes for Persons with HIV
February 27, 2019
Self Management of Diabetes for Persons with HIV
Julie Zuñiga, PhD, RN
Research reported here was supported by the National Institute of Nursing Research of the National Institutes of Health under Award Number P30NR The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

2. Purpose Report findings from the TCRSS pilot
Discuss lessons learned from collecting biological samples
Propose solutions to biological sample collection

3. Background
15% of people living with HIV also have a diagnosis of diabetes
HIV and Diabetes have overlapping symptoms, and biological system activations (ie immune, vascular, neurological)
Less than half of PLWH+DM are able to control both conditions adequately

4. Study Design and Population
One group pre-test post-test of a diabetes self-management intervention that was adapted for PLWH+DM
6 hours of education and activities provided by an RN and SW
Able to attend intervention meetings at David Powell Clinic
Two study visits for survey data collection – Knowledge and Behaviors
Fasting labs were to be drawn twice at a commercial lab– Viral Load, CD4, and A1c
Adults, both conditions for at least 6 months

5. Findings (N=30) Over all attendance was low
Increased specific self-management behaviors, such as checking shoes and feet
Only 1 of the 24 who participated in the educational intervention completed both time sets of blood draw
Unable to assess change in A1c, bench mark for diabetes care or other HIV labs
Blood was not drawn during the study visit, participants had to go to a commercial lab

6. Solutions: Know your population
Tailor intervention to population’s barriers and preferences
Focus groups
One-on-One interviews
Point of Care (POC) technology
Partnership with Health and Integrative Physiology (HIP) Lab
DXA Scan
POC for A1C and Lipids
Primo Parking
Cost is comparable,

7. Point of Care A1C: High reliability and validity for A1C
Sample size of blood varies by machine
Very high A1C might not be accurate
Teaching can be done on the spot with immediate feedback of A1C level.

8. Lessons learned Trust you know your population
Use fast technology for immediate feedback
Maximize the time you have with your participants.
Partner with researchers on campus

9. Next Steps Refining Self-Management model for PLWH+DM
Identify pathway that can explain symptoms
Develop an intervention that is acceptable for my population
Based on large data set I have now funded by NINR

10. THANK YOU