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. 2018 May 7;6(2):e10167. doi: 10.2196/10167

Table 1.

Patient, clinician, and visit characteristics in a study of electronic health record use in safety net primary and specialty care medication reconciliation.

Characteristics Value
Patients (n=25)

Age (years), mean (SD) 56.8 (11.0)

Gender (female), n (%) 11 (44)

Race/ethnicity, n (%)


Hispanic 12 (48)


Asian 6 (24)


Caucasian 4 (16)


African-American 2 (8)


Multiethnic 1 (4)

Language, n (%)


Primary language Spanish 10 (40)


Limited English proficiency 6 (24)

Education, n (%)


≤8th grade education 2 (8)


Some high school or high school graduate/General Education Diploma 7 (28)


Some college or college graduate 16 (64)

Limited health literacy, n (%) 5 (20)

Income (≤US $20,000/year), n (%) 23 (92)

“Poor” or “fair” quality of life, n (%) 18 (60)
Clinicians (n=25)

Age (years), mean (SD) 44.9 (11.9)

Gender (female), n (%) 14 (67)

Clinic, n (%)


Primary care clinic 14 (56)


Diabetes clinic 5 (20)


Cardiology clinic 3 (12)


Rheumatology clinic 3 (12)

Role, n (%)


Physician 21 (84)


Nurse practitioner or physician assistant 4 (16)

Years since professional degree, mean (SD) 15.7 (11.3)
Visits (n=35)

Relationship length years at baseline, n (%)


<1 year 2 (6)


1-5 years 19 (54)


>5 years 14 (40)

Language during visit, n (%)


English 29 (83)


Spanish 5 (14)


Spanish interpreter 1 (3)

Visit length (minutes), median (interquartile range) 20.6 (16.7-32.2)