You are analyzing ambulatory EHR data to see if patients are screened for
diabetes. You will calculate the percentage of patients aged 40 years and older
with a BMI ≥ 25 who are seen for at least two office visits or at least one
preventive visit during the 12-month period who were screened for abnormal
blood glucose at least once in the last 3 years. Screening for abnormal blood
glucose may include ordering a fasting plasma glucose, 2-h plasma glucose
during a 75g oral glucose tolerance test, or A1C.
Goal: Describe whether the diabetes screening is performed in patients from
40 years old and older with BMI ≥ 25
1. Sub-goal: Identify instances of patients (aged 40 years and older)
with BMI ≥ 25
a. From the ambulatory EHR database, filter patients (aged 40
years and older) admitted to hospital in calendar year
between 2016-2020
b. In these patients, filter by records of BMI ≥ 25 who are seen
for at least two office visits or at least one preventive visit
during the 12-month period
c. Exclude patients who have records with preexisting diabetes
history at the hospital admission
d. Calculate the total number of these patients and serve as
denominator
2. Sub-goal: Calculate percentage of patients with BMI ≥ 25 were
screened for abnormal blood glucose
a. In the patients from sub-goal 1, for each patient check for
records of abnormal blood glucose testing criteria including:
i. Ordering a fasting plasma glucose
ii. Ordering a 2-h plasma glucose during a 75g oral
glucose tolerance test
iii. Ordering a A1C test
b. Filter patients by records of screening for the above tests for
at least once in the last 3 years
i. Calculate the total number of these patients
ii. The number of these patient serves as numerator
c. Calculate the percentage of patients with BMI ≥ 25 were
screened for abnormal blood glucose
i. With total from sub-goal 1-c as denominator and total
from sub-goal 2-b as numerator, calculate the
proportion.
3. Sub-goal: Explore the trend of proper diabetes screening in patients
with BMI ≥ 25 in the last 5 calendar years
a. Divide records of the patients collected in sub-goal 1 into 5
sub-groups based on calendar year: 2016, 2017, 2018, 2019,
2020
b. For each subgroup calculate the proportion of patients that
were screened for abnormal blood glucose using steps
described in sub-goal 2
c. Plot a line graph of proportion against year