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Table 5 Unadjusted relationships between characteristics and attitudes and likelihood of research 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

782

0.77

(0.55, 1.10)

0.11

Age (years)

763

1.01

(0.99, 1.02)

 

Race/Ethnicity

766

  

<0.001a

 Hispanic/Latino

 

0.44

(0.30, 0.66)

 

 Black

 

0.35

(0.17, 0.71)

 

 Asian/Pacific Islander

 

0.52

(0.29, 0.94)

 

 Other

 

0.72

(0.35, 1.48)

 

 White, not Hispanic/Latino (ref)

 

--

--

 

Income

620

  

0.048a

 Less than $40,000

 

--

--

 

 $40 K to < $80 K

 

0.55

(0.33, 0.91)

 

 $80 k or greater (ref)

 

0.80

(0.34, 0.68)

 

Education

772

  

<0.001a

 Up to High School diploma

 

0.34

(0.14, 0.66)

 

 HS diploma to Bachelor’s Degree

 

0.48

(0.34, 0.68)

 

 More than a Bachelor’s Degree (ref)

 

--

--

 

Geography: Urban vs Rural

731

1.36

(0.77, 2.38)

0.29

Health status

778

  

0.66

 Very good

 

1.38

(0.68, 2.81)

 

 Fair

 

1.38

(0.67, 2.83)

 

 Poor (ref)

 

--

  

Have regular provider (yes vs no)

777

2.03

(1.44, 2.85)

<0.001a

Ever emailed provider (yes vs no)

655

1.92

(1.29, 2.85)

0.001a

Have PHR (yes vs no)

772

2.25

(1.40, 3.62)

<0.001

Attitudes

    

EHR effect on research quality (Likert)

749

  

<0.001a

 Improve

 

11.68

(6.56, 20.80)

 

 No effect

 

1.99

(1.02, 3.85)

 

 Worsen (ref)

 

--

--

 

Research benefit over privacy (agree vs disagree)

765

1.65

(1.18, 2.31)

0.003a

Control over research benefit (agree vs disagree)

759

0.61

(0.41, 0.92)

0.02a

  1. aSignificant at the .05 level