Determining "in control" versus "not in control" glucose management of medical/surgical community hospital patients.
OBJECTIVE
To move beyond the correlation analysis between glucose statistics and patient outcome and to benchmark summary statistics calculated on all glucose values taken during an entire individual patient-stay.


METHODS
The sample consisted of 141 patient-stays with multiple finger-stick blood glucose (BG) measurements resulting in 5,428 total BGs. Glucose control assessments of the BG profiles for each patient-stay were independently conducted by two endocrinologists. Summary statistics (mean, standard deviation, mean absolute glucose [MAG], percentage of hours of patient-stay with BG over threshold) were calculated for BG using patient-stay as the unit of analysis.


RESULTS
Produced numerical benchmarks for the mean (148 mg/dL), SD (40 mg/dL), MAG (6.2), and the percentage of patient-stay hours over 200 mg/dL (10%). Specificity and sensitivity were high, ranging from 91% to 89% for specificity and from 90% to 81% for sensitivity.


CONCLUSIONS
This study demonstrated that benchmarks developed on specific patient populations can be used to evaluate glycemic control in a straightforward, computationally simple system.
Roper Hospital, Charleston, South Carolina, USA.
Mary Jane
MJ
Plance
Yvonne
Y
Michel
Sarah
S
Dolvan
Anita
A
Ramsetty
Nancy
N
Spindler
D000368:Aged; D019985:Benchmarking; D001786:Blood Glucose / Q000032:analysis*; D015897:Comorbidity; D005260:Female; D006764:Hospitals, Community; D006801:Humans; D007297:Inpatients; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D017063:Outcome Assessment, Health Care; D010348:Patient Care Team; D012680:Sensitivity and Specificity; D013022:South Carolina
D001786:Blood Glucose