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. 2015 Apr 29;17(4):e106. doi: 10.2196/jmir.4126

Table 2.

Relationship between specific access difficulties over the past 12 months and health information technology (HIT) use.

Specific access difficulty HIT use
n=14,080
No HIT use (ref)
n=18,059

%a OR (95% CI)b AOR (95% CI)c %a
Trouble finding a doctor who would see you 3.67 1.38 (1.18-1.60) 1.80 (1.53-2.13) 2.70
Told doctor would not accept you as new patient 3.53 1.73 (1.45-2.06) 2.07 (1.70-2.51) 2.07
Told doctor would not accept your insurance 4.49 1.84 (1.58-2.15) 2.05 (1.71-2.45) 2.49
Delayed getting care because could not get through on phone 3.05 1.71 (1.43-2.04) 1.93 (1.58-2.36) 1.81
Delayed getting care because could not get an appointment soon enough 7.97 2.12 (1.89-2.38) 2.21 (1.94-2.51) 3.93
Delayed getting care because once there, wait was too long to see doctor 5.23 1.22 (1.09-1.38) 1.54 (1.35-1.77) 4.31
Delayed getting care because doctor’s office not open when you could go 4.25 2.30 (1.96-2.69) 2.23 (1.88-2.65) 1.90
Delayed getting care because did not have transportation 1.78 0.78 (0.66-0.93) 1.39 (1.14-1.69) 2.25

a Weighted percentage.

b Crude ORs are odds of using HIT compared to odds of no HIT use (reference group).

c Adjusted ORs accounting for sex, age, race, education, marital status, self-reported health status, presence of chronic disease, CCI, and insurance coverage.