Projects completed for the Cradle Study

1. {
Cradle Project
Taylor Jackson

2.  I made graphics for this study to help raise
awareness because this is a brand new project for all
Greenville Health System Employees. The study
does not only involve the research team. It takes
power and coordination from the nurses in the
ultrasound department where we are screen all the
patients. The nurses had to call the research staff
when a patient was done seeing the doctor and with
her appointment. Since the staff is so busy and
adjusted to their normal routine, adding another
thing for them to do proved to be difficult. Some
patients were let go without being seen by the
research staff. These graphics served as a reminder
that were hung up in the nurses staff room.
Graphics

5. I also used the graphics to make a Facebook page so that the research
department can updates along with reminders to the patients.

6.  The study was extremely extensive. I found a way to
help the research department by making the patients
flow smoother and keeping the data organized.
 I screen the patients prior to entering the facility.
 I would go through the entirety of the patients
charts highlight patients who come qualify.
 This project got the most feedback and made me
stand out to the research staff. They were so grateful
that I could save them so much time and effort by
completing this project for them.
Screening Project

7.  Preliminary qualifications.
 I would only look through the schedule and find the women
who were coming in for their booking scans, first trimester
screenings, and anatomy scans. All other appointment types I
did not add to the log.
 Beyond that, only women who had a gestational ago of 23
weeks and six days would be added to the log. Women who
were beyond this point in the pregnancy would not qualify.
How would I screen?

8.  If women had high blood pressure, requiring medication.
 This saved the staff a lot of time and effort because some women how did
have hypertension and were currently not taking medication could still
qualify.
 If a patient had diabetes before becoming pregnant or if their body
mass index was greater than 45.
 Women who have a history of gestational diabetes still could qualify.
 A patient with active pulmonary tuberculosis, I would not add to the
daily log of the research nurses suggested patients.
 If a patient had sickle cell anemia or HIV I would not add her to the
log because the study’s credentials would not qualify her.
 Any women who had a high risk pregnancy.
 Pregnant with more than one baby
 Or any other serious medical condition that would require individual
attention at prenatal visits.
Exclusions

9. Above is a sample of the log I would fill out, and under shows what it might look
like if a patient qualifies. The nurse would then simply look at the log and see
that the patient Taylor Jackson qualifies for the study I need to consent her.
This way the research nurse does not have to look at the schedule in Epic and go
through all the patient information. This saved a lot of time and made the
consent process go smoothly.
Name MRN GA HTNQ BMI TUB SC HIV INC. US Notes
Name MRN
Name MRN GA HTNQ BMI TUB SC HIV INC. US Notes
Taylor
Jackson
27 12.2 X X X X X X X

10. The log saved time and as I continued to do the log I found was to
better it and make it more organized. I would color coordinate every
patient so that the nurses could easily see the patients coming through
the facility that day, which ones qualify, which ones do not, and why.
 Color Key
 Yellow Highlighter: patients that did qualify, they I had already
identified to the study in Redcap, and who they need to consent
 Green Highlighter: patients that did not qualify for the study not
because they did not qualify, but because they did not receive
prenatal care under GHS they were usually patients at a private
facility.
 Blue highlighter: patients that did not qualify due to the restriction
in the study, the blue highlighter also meant that I had entered them
into the study as ineligible. We also used blue highlighter to show
that patients declined joining in the study. The declined patient and
their reasoning were also recorded in the studies data collector.
Organizational Log