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Table 3 Unadjusted relationships between characteristics and attitudes and likelihood of HIE consent

From: Factors affecting willingness to share electronic health data among California consumers

Characteristics

N

Odds ratio

95% confidence interval

P

Gender: Female vs. Male

784

0.88

(0.67, 1.20)

0.39

Race

767

  

0.08b

 Hispanic/Latino

 

1.45

(1.01, 2.08)

 

 Black

 

0.65

(0.33, 1.27)

 

 Asian/Pacific Islander

 

0.95

(0.56, 1.62)

 

 Other

 

0.73

(0.40, 1.33)

 

 White, not Hispanic/Latino (ref)

 

--

--

 

Income

619

  

0.11

 Less than $40,000

 

1.40

(0.95, 2.00)

 

 $40 K to < $80 K

 

1.50

(0.97, 2.20)

 

 $80 k or greater (ref)

 

--

--

 

Education

778

  

0.21

 Up to High School Diploma

 

1.50

(0.80, 2.90)

 

 HS diploma to Bachelor’s Degree

 

0.88

(0.65, 1.20)

 

 More than a Bachelor’s Degree (ref)

 

--

--

 

Geography: Urban vs. Rural

732

1.30

(0.79, 2.20)

0.29

Health Status

781

  

0.02a

 Very good

 

0.66

(0.49, 0.89)

 

 Fair

 

0.57

(0.29, 1.10)

 

 Poor (ref)

 

--

--

 

Has regular provider (yes vs. no)

779

1.10

(0.78, 1.40)

0.72

Has used email to contact provider (yes vs. no)

654

0.87

(0.64, 1.20)

0.39

Currently has personal health record (yes vs. no)

774

0.92

(0.65, 1.30)

0.64

Attitudes (Likert scale)

 EHR effect on medical quality

752

0.59

(0.51, 0.69)

<0.001a

 EHR effect on privacy

730

0.66

(0.58, 0.74)

<0.001a

 HIE effect on privacy

752

0.69

(0.61, 0.78)

<0.001a

 EHR effect on security

751

0.71

(0.64, 0.80)

<0.001a

 HIE effect on security

741

0.66

(0.59, 0.75)

<0.001a

  1. aSignificant at the .05 level
  2. bSignificant at the .10 level