Detection and remediation of medically urgent situations using telemedicine case management for older patients with diabetes mellitus

Figures & data

Table 1 Baseline demographic and clinical characteristics of participants in the upstate IDEATel cohort (percentages are given except for Hemoglobin A1c)

Characteristic	Upstate New York
Age at randomization (years)
55–64	13.1
65–69	30.6
70–74	25.7
75–79	17.4
>79	13.1
Sex
Male	43.0
Female	57.0
Race/Ethnicity
African-American (non-Hispanic)	7.1
Hispanic	1.3
White (non-Hispanic)	91.5
Other	0.1
Education (years)
0	0.1
1–11	36.6
12	37.9
>13	25.4
Data missing	0.0
Annual household income (dollars)
<5,000	2.9
5,001–10,000	16.7
10,001–20,000	33.1
20,001–30,000	20.6
30,001–40,000	7.5
>40,000	9.7
Data missing	9.4
Diabetes treatment
Pills alone	66.4
Insulin alone	14.0
Insulin and pills	13.8
Diet alone	5.5
Data missing	0.2
Hemoglobin A1c (%)	7.0%
% in subgroup with A1c ≥7% at baseline	45.5%

Table 2 Potential adverse events requiring clinical intervention in the Upstate New York Cohort of IDEATel over a 36-month period

Corrected inappropriate medication dose	8
Corrected inappropriate timing of insulin or antidiabetes medication	11
Identified contraindication to current medication	24
Identified new diabetes or medication complication	2
Identified acute medical condition immediate treatment	15
Serious hypoglycemia identified and treated	7
Total	67