Skip to main content

Table 1 ‘Sociodemographic characteristics of study participants receiving care at one of two health centers

From: Challenges and opportunities of telehealth digital equity to manage HIV and comorbidities for older persons living with HIV in New York State

 

Academic Medical Center (AMC) n = 50

Federally Qualified Health Center (FQHC) n = 30

Total n = 80

n

(%)

n

(%)

n

(%)

Age

 50 < 60

29

(58.0%)

14

(46.7%)

43

(53.8%)

 60 ≤ 73

21

(42.0%)

16

(53.3%)

37

(46.2%)

Gender

 Male

26

(52.0%)

15

(50.0%)

41

(51.3%)

 Female 1

24

(48.0%)

15

(50.0%)

39

(48.7%)

Education

 ≤ High school

27

(54.0%)

14

(46.7%)

41

(51.3%)

 > High school

23

(46.0%)

16

(53.3%)

39

(48.7%)

Race

 White

9

(18.0%)

12

(40.0%)

21

(26.3%)

 Non-white 2

41

(82.0%)

18

(60.0%)

59

(73.7%)

Language

 English

33

(66.0%)

30

(100.0%)

63

(78.8%)

 Spanish

17

(34.0%)

0

(0.0%)

17

(21.2%)

Place of Birth

 US and Puerto Rico

32

(64.0%)

28

(93.3%)

60

(75.0%)

 Outside the US

18

(36.0%)

2

(6.7%)

20

(25.0%)

Number of Comorbidities

 0 < 4

27

(54.0%)

6

(20.0%)

33

(41.3%)

 4 ≤ 14

23

(46.0%)

24

(80.0%)

47

(58.7%)

Mental Health or Substance Use Condition

 None

25

(50.0%)

12

(40.0%)

37

(46.2%)

 At least one

25

(50.0%)

18

(60.0%)

43

(53.8%)

Difficulties Using Technology

 None

20

(40.0%)

18

(60.0%)

38

(47.5%)

 Some

30

(60.0%)

12

(40.0%)

42

(52.5%)

  1. 1 For sufficient cell counts, one female transgender participant was categorized as Female
  2. 2 For sufficient cell counts, race was dichotomized given that no participants selected White and another race or ethnicity. Non-white encompasses participants who identified as Latinx, Black, and/or Native American