Table 1. Open in new tab Hierarchical...

	2021	2023
a. Outcome Variable: Job Searches
	Yes = 6,484; No = 30,075	Yes = 6,167; No = 30,481
Step 1: Sociodemographic Controls	χ²(22) = 4292.55, p < .001; Nagelkerke R² = .18	χ²(22) = 4400.28, p < .001; Nagelkerke R² = .19
Step 2: Access Variables	Δ_χ²(3) = 62.00, p < .001; Δ_{Nagelkerke R²} = .003	Δ_χ²(3) = 47.05, p < .001; Δ_{Nagelkerke R²} = .002
Home Internet	0.13*	0.05	5.22	.02	1.13	0.01	0.05	0.05	.82	1.01
Computer	0.28***	0.05	32.12	<.001	1.32	0.31***	0.05	40.66	<.001	1.37
Smartphone	0.15*	0.08	4.22	.04	1.17	0.03	0.08	0.13	.72	1.03
b. Outcome Variable: Government Resources
		Yes = 13,868; No = 22,691	Yes = 14,436; No = 22,212
Step 1: Sociodemographic Controls	χ²(22) = 2301.51, p < .001; Nagelkerke R² = .08	χ²(22) = 2848.79, p < .001; Nagelkerke R² = .10
Step 2: Access Variables	Δ_χ²(3) = 344.16, p < .001; Δ_{Nagelkerke R²} = .01	Δ_χ²(3) = 382.80, p < .001; Δ_{Nagelkerke R²} = .01
Home Internet	0.32***	0.04	56.89	<.001	1.37	0.34***	0.04	63.22	<.001	1.40
Computer	0.43***	0.04	139.39	<.001	1.54	0.50***	0.04	198.55	<.001	1.64
Smartphone	0.27***	0.05	29.14	<.001	1.30	0.18**	0.06	10.61	.001	1.20
c. Outcome Variable: Health Information Seeking
		Yes = 39,737; No = 33,237	Yes = 41,616; No = 31,713
Step 1: Sociodemographic Controls	χ²(22) = 5634.41, p < .001; Nagelkerke R² = .10	χ²(22) = 6301.29, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1553.08, p < .001; Δ_{Nagelkerke R²} = .03	Δ_χ²(3) = 1663.76 p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.48***	0.03	274.57	<.001	1.61	0.52***	0.03	323.87	<.001	1.68
Computer	0.62***	0.03	626.19	<.001	1.86	0.65***	0.02	767.83	<.001	1.92
Smartphone	0.35***	0.03	108.33	<.001	1.42	0.33***	0.04	75.67	<.001	1.39
d. Outcome Variable: Patient-Provider Communication
		Yes = 35,897; No = 37,077	Yes = 38,197; No = 35,132
Step 1: Sociodemographic Controls	χ²(22) = 5787.80, p < .001; Nagelkerke R² = .10	χ²(22) = 5983.24, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1533.87, p < .001; Δ_{Nagelkerke R²} = .03	Δ_χ²(3) = 1768.45, p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.54***	0.03	326.75	<.001	1.72	0.60***	0.03	388.15	<.001	1.81
Computer	0.52***	0.03	414.83	<.001	1.68	0.67***	0.02	764.44	<.001	1.95
Smartphone	0.55***	0.04	240.95	<.001	1.73	0.31***	0.04	64.92	<.001	1.37
e. Outcome Variable: Medical Records
		Yes = 39,651; No = 33,323	Yes = 44,543; No = 28,786
Step 1: Sociodemographic Controls	χ²(22) = 9050.82, p < .001; NagelkerkeR² = .16	χ²(22) = 9049.09, p < .001; Nagelkerke R² = .16
Step 2: Access Variables	Δ_χ²(3) = 2022.84, p < .001; Δ_{Nagelkerke R²} = .03	Δ_χ²(3) = 2252.79 p < .001; Δ_Nagelkerke R² = .04
Home Internet	0.59***	0.03	382.16	<.001	1.80	0.62***	0.03	443.36	<.001	1.86
Computer	0.70***	0.03	740.81	<.001	2.02	0.77***	0.02	1046.44	<.001	2.16
Smartphone	0.47***	0.04	177.86	<.001	1.59	0.38***	0.04	98.71	<.001	1.47

2021

2023

Wald

a. Outcome Variable: Job Searches

Yes = 6,484; No = 30,075

Yes = 6,167; No = 30,481

Step 1: Sociodemographic Controls

χ²(22) = 4292.55, p < .001; Nagelkerke R² = .18

χ²(22) = 4400.28, p < .001; Nagelkerke R² = .19

Step 2: Access Variables

Δ_χ²(3) = 62.00, p < .001; Δ_{Nagelkerke R²} = .003

Δ_χ²(3) = 47.05, p < .001; Δ_{Nagelkerke R²} = .002

Home Internet

0.13*

0.05

5.22

.02

1.13

0.01

0.05

.82

1.01

Computer

0.28***

0.05

32.12

<.001

1.32

0.31***

0.05

40.66

<.001

1.37

Smartphone

0.15*

0.08

4.22

.04

1.17

0.03

0.08

0.13

.72

1.03

b. Outcome Variable: Government Resources

Yes = 13,868; No = 22,691

Yes = 14,436; No = 22,212

Step 1: Sociodemographic Controls

χ²(22) = 2301.51, p < .001; Nagelkerke R² = .08

χ²(22) = 2848.79, p < .001; Nagelkerke R² = .10

Step 2: Access Variables

Δ_χ²(3) = 344.16, p < .001; Δ_{Nagelkerke R²} = .01

Δ_χ²(3) = 382.80, p < .001; Δ_{Nagelkerke R²} = .01

Home Internet

0.32***

0.04

56.89

<.001

1.37

0.34***

0.04

63.22

<.001

1.40

Computer

0.43***

0.04

139.39

<.001

1.54

0.50***

0.04

198.55

<.001

1.64

Smartphone

0.27***

0.05

29.14

<.001

1.30

0.18**

0.06

10.61

.001

1.20

c. Outcome Variable: Health Information Seeking

Yes = 39,737; No = 33,237

Yes = 41,616; No = 31,713

Step 1: Sociodemographic Controls

χ²(22) = 5634.41, p < .001; Nagelkerke R² = .10

χ²(22) = 6301.29, p < .001; Nagelkerke R² = .11

Step 2: Access Variables

Δ_χ²(3) = 1553.08, p < .001; Δ_{Nagelkerke R²} = .03

Δ_χ²(3) = 1663.76 p < .001; Δ_{Nagelkerke R²} = .03

Home Internet

0.48***

0.03

274.57

<.001

1.61

0.52***

0.03

323.87

<.001

1.68

Computer

0.62***

0.03

626.19

<.001

1.86

0.65***

0.02

767.83

<.001

1.92

Smartphone

0.35***

0.03

108.33

<.001

1.42

0.33***

0.04

75.67

<.001

1.39

d. Outcome Variable: Patient-Provider Communication

Yes = 35,897; No = 37,077

Yes = 38,197; No = 35,132

Step 1: Sociodemographic Controls

χ²(22) = 5787.80, p < .001; Nagelkerke R² = .10

χ²(22) = 5983.24, p < .001; Nagelkerke R² = .11

Step 2: Access Variables

Δ_χ²(3) = 1533.87, p < .001; Δ_{Nagelkerke R²} = .03

Δ_χ²(3) = 1768.45, p < .001; Δ_{Nagelkerke R²} = .03

Home Internet

0.54***

0.03

326.75

<.001

1.72

0.60***

0.03

388.15

<.001

1.81

Computer

0.52***

0.03

414.83

<.001

1.68

0.67***

0.02

764.44

<.001

1.95

Smartphone

0.55***

0.04

240.95

<.001

1.73

0.31***

0.04

64.92

<.001

1.37

e. Outcome Variable: Medical Records

Yes = 39,651; No = 33,323

Yes = 44,543; No = 28,786

Step 1: Sociodemographic Controls

χ²(22) = 9050.82, p < .001; NagelkerkeR² = .16

χ²(22) = 9049.09, p < .001; Nagelkerke R² = .16

Step 2: Access Variables

Δ_χ²(3) = 2022.84, p < .001; Δ_{Nagelkerke R²} = .03

Δ_χ²(3) = 2252.79 p < .001; Δ_Nagelkerke R² = .04

Home Internet

0.59***

0.03

382.16

<.001

1.80

0.62***

0.03

443.36

<.001

1.86

Computer

0.70***

0.03

740.81

<.001

2.02

0.77***

0.02

1046.44

<.001

2.16

Smartphone

0.47***

0.04

177.86

<.001

1.59

0.38***

0.04

98.71

<.001

1.47

	2021	2023
a. Outcome Variable: Job Searches
	Yes = 6,484; No = 30,075	Yes = 6,167; No = 30,481
Step 1: Sociodemographic Controls	χ²(22) = 4292.55, p < .001; Nagelkerke R² = .18	χ²(22) = 4400.28, p < .001; Nagelkerke R² = .19
Step 2: Access Variables	Δ_χ²(3) = 62.00, p < .001; Δ_{Nagelkerke R²} = .003	Δ_χ²(3) = 47.05, p < .001; Δ_{Nagelkerke R²} = .002
Home Internet	0.13*	0.05	5.22	.02	1.13	0.01	0.05	0.05	.82	1.01
Computer	0.28***	0.05	32.12	<.001	1.32	0.31***	0.05	40.66	<.001	1.37
Smartphone	0.15*	0.08	4.22	.04	1.17	0.03	0.08	0.13	.72	1.03
b. Outcome Variable: Government Resources
		Yes = 13,868; No = 22,691	Yes = 14,436; No = 22,212
Step 1: Sociodemographic Controls	χ²(22) = 2301.51, p < .001; Nagelkerke R² = .08	χ²(22) = 2848.79, p < .001; Nagelkerke R² = .10
Step 2: Access Variables	Δ_χ²(3) = 344.16, p < .001; Δ_{Nagelkerke R²} = .01	Δ_χ²(3) = 382.80, p < .001; Δ_{Nagelkerke R²} = .01
Home Internet	0.32***	0.04	56.89	<.001	1.37	0.34***	0.04	63.22	<.001	1.40
Computer	0.43***	0.04	139.39	<.001	1.54	0.50***	0.04	198.55	<.001	1.64
Smartphone	0.27***	0.05	29.14	<.001	1.30	0.18**	0.06	10.61	.001	1.20
c. Outcome Variable: Health Information Seeking
		Yes = 39,737; No = 33,237	Yes = 41,616; No = 31,713
Step 1: Sociodemographic Controls	χ²(22) = 5634.41, p < .001; Nagelkerke R² = .10	χ²(22) = 6301.29, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1553.08, p < .001; Δ_{Nagelkerke R²} = .03	Δ_χ²(3) = 1663.76 p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.48***	0.03	274.57	<.001	1.61	0.52***	0.03	323.87	<.001	1.68
Computer	0.62***	0.03	626.19	<.001	1.86	0.65***	0.02	767.83	<.001	1.92
Smartphone	0.35***	0.03	108.33	<.001	1.42	0.33***	0.04	75.67	<.001	1.39
d. Outcome Variable: Patient-Provider Communication
		Yes = 35,897; No = 37,077	Yes = 38,197; No = 35,132
Step 1: Sociodemographic Controls	χ²(22) = 5787.80, p < .001; Nagelkerke R² = .10	χ²(22) = 5983.24, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1533.87, p < .001; Δ_{Nagelkerke R²} = .03	Δ_χ²(3) = 1768.45, p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.54***	0.03	326.75	<.001	1.72	0.60***	0.03	388.15	<.001	1.81
Computer	0.52***	0.03	414.83	<.001	1.68	0.67***	0.02	764.44	<.001	1.95
Smartphone	0.55***	0.04	240.95	<.001	1.73	0.31***	0.04	64.92	<.001	1.37
e. Outcome Variable: Medical Records
		Yes = 39,651; No = 33,323	Yes = 44,543; No = 28,786
Step 1: Sociodemographic Controls	χ²(22) = 9050.82, p < .001; NagelkerkeR² = .16	χ²(22) = 9049.09, p < .001; Nagelkerke R² = .16
Step 2: Access Variables	Δ_χ²(3) = 2022.84, p < .001; Δ_{Nagelkerke R²} = .03	Δ_χ²(3) = 2252.79 p < .001; Δ_Nagelkerke R² = .04
Home Internet	0.59***	0.03	382.16	<.001	1.80	0.62***	0.03	443.36	<.001	1.86
Computer	0.70***	0.03	740.81	<.001	2.02	0.77***	0.02	1046.44	<.001	2.16
Smartphone	0.47***	0.04	177.86	<.001	1.59	0.38***	0.04	98.71	<.001	1.47

2021

2023

Wald

a. Outcome Variable: Job Searches

Yes = 6,484; No = 30,075

Yes = 6,167; No = 30,481

Step 1: Sociodemographic Controls

χ²(22) = 4292.55, p < .001; Nagelkerke R² = .18

χ²(22) = 4400.28, p < .001; Nagelkerke R² = .19

Step 2: Access Variables

Δ_χ²(3) = 62.00, p < .001; Δ_{Nagelkerke R²} = .003

Δ_χ²(3) = 47.05, p < .001; Δ_{Nagelkerke R²} = .002

Home Internet

0.13*

0.05

5.22

.02

1.13

0.01

0.05

.82

1.01

Computer

0.28***

0.05

32.12

<.001

1.32

0.31***

0.05

40.66

<.001

1.37

Smartphone

0.15*

0.08

4.22

.04

1.17

0.03

0.08

0.13

.72

1.03

b. Outcome Variable: Government Resources

Yes = 13,868; No = 22,691

Yes = 14,436; No = 22,212

Step 1: Sociodemographic Controls

χ²(22) = 2301.51, p < .001; Nagelkerke R² = .08

χ²(22) = 2848.79, p < .001; Nagelkerke R² = .10

Step 2: Access Variables

Δ_χ²(3) = 344.16, p < .001; Δ_{Nagelkerke R²} = .01

Δ_χ²(3) = 382.80, p < .001; Δ_{Nagelkerke R²} = .01

Home Internet

0.32***

0.04

56.89

<.001

1.37

0.34***

0.04

63.22

<.001

1.40

Computer

0.43***

0.04

139.39

<.001

1.54

0.50***

0.04

198.55

<.001

1.64

Smartphone

0.27***

0.05

29.14

<.001

1.30

0.18**

0.06

10.61

.001

1.20

c. Outcome Variable: Health Information Seeking

Yes = 39,737; No = 33,237

Yes = 41,616; No = 31,713

Step 1: Sociodemographic Controls

χ²(22) = 5634.41, p < .001; Nagelkerke R² = .10

χ²(22) = 6301.29, p < .001; Nagelkerke R² = .11

Step 2: Access Variables

Δ_χ²(3) = 1553.08, p < .001; Δ_{Nagelkerke R²} = .03

Δ_χ²(3) = 1663.76 p < .001; Δ_{Nagelkerke R²} = .03

Home Internet

0.48***

0.03

274.57

<.001

1.61

0.52***

0.03

323.87

<.001

1.68

Computer

0.62***

0.03

626.19

<.001

1.86

0.65***

0.02

767.83

<.001

1.92

Smartphone

0.35***

0.03

108.33

<.001

1.42

0.33***

0.04

75.67

<.001

1.39

d. Outcome Variable: Patient-Provider Communication

Yes = 35,897; No = 37,077

Yes = 38,197; No = 35,132

Step 1: Sociodemographic Controls

χ²(22) = 5787.80, p < .001; Nagelkerke R² = .10

χ²(22) = 5983.24, p < .001; Nagelkerke R² = .11

Step 2: Access Variables

Δ_χ²(3) = 1533.87, p < .001; Δ_{Nagelkerke R²} = .03

Δ_χ²(3) = 1768.45, p < .001; Δ_{Nagelkerke R²} = .03

Home Internet

0.54***

0.03

326.75

<.001

1.72

0.60***

0.03

388.15

<.001

1.81

Computer

0.52***

0.03

414.83

<.001

1.68

0.67***

0.02

764.44

<.001

1.95

Smartphone

0.55***

0.04

240.95

<.001

1.73

0.31***

0.04

64.92

<.001

1.37

e. Outcome Variable: Medical Records

Yes = 39,651; No = 33,323

Yes = 44,543; No = 28,786

Step 1: Sociodemographic Controls

χ²(22) = 9050.82, p < .001; NagelkerkeR² = .16

χ²(22) = 9049.09, p < .001; Nagelkerke R² = .16

Step 2: Access Variables

Δ_χ²(3) = 2022.84, p < .001; Δ_{Nagelkerke R²} = .03

Δ_χ²(3) = 2252.79 p < .001; Δ_Nagelkerke R² = .04

Home Internet

0.59***

0.03

382.16

<.001

1.80

0.62***

0.03

443.36

<.001

1.86

Computer

0.70***

0.03

740.81

<.001

2.02

0.77***

0.02

1046.44

<.001

2.16

Smartphone

0.47***

0.04

177.86

<.001

1.59

0.38***

0.04

98.71

<.001

1.47

Table 1.

Open in new tab

Hierarchical logistic regressions of beneficial online activities based on in-home internet, computer, and smartphone access.

	2021						2023
	B	SE		Wald	p	OR	B	SE	Wald	p	OR
a. Outcome Variable: Job Searches
	Yes = 6,484; No = 30,075						Yes = 6,167; No = 30,481
Step 1: Sociodemographic Controls	χ²(22) = 4292.55, p < .001; Nagelkerke R² = .18						χ²(22) = 4400.28, p < .001; Nagelkerke R² = .19
Step 2: Access Variables	Δ_χ²(3) = 62.00, p < .001; Δ_{Nagelkerke R²} = .003						Δ_χ²(3) = 47.05, p < .001; Δ_{Nagelkerke R²} = .002
Home Internet	0.13*	0.05		5.22	.02	1.13	0.01	0.05	0.05	.82	1.01
Computer	0.28***	0.05		32.12	<.001	1.32	0.31***	0.05	40.66	<.001	1.37
Smartphone	0.15*	0.08		4.22	.04	1.17	0.03	0.08	0.13	.72	1.03
b. Outcome Variable: Government Resources
			Yes = 13,868; No = 22,691				Yes = 14,436; No = 22,212
Step 1: Sociodemographic Controls	χ²(22) = 2301.51, p < .001; Nagelkerke R² = .08						χ²(22) = 2848.79, p < .001; Nagelkerke R² = .10
Step 2: Access Variables	Δ_χ²(3) = 344.16, p < .001; Δ_{Nagelkerke R²} = .01						Δ_χ²(3) = 382.80, p < .001; Δ_{Nagelkerke R²} = .01
Home Internet	0.32***	0.04		56.89	<.001	1.37	0.34***	0.04	63.22	<.001	1.40
Computer	0.43***	0.04		139.39	<.001	1.54	0.50***	0.04	198.55	<.001	1.64
Smartphone	0.27***	0.05		29.14	<.001	1.30	0.18**	0.06	10.61	.001	1.20
c. Outcome Variable: Health Information Seeking
		Yes = 39,737; No = 33,237					Yes = 41,616; No = 31,713
Step 1: Sociodemographic Controls	χ²(22) = 5634.41, p < .001; Nagelkerke R² = .10						χ²(22) = 6301.29, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1553.08, p < .001; Δ_{Nagelkerke R²} = .03						Δ_χ²(3) = 1663.76 p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.48***	0.03		274.57	<.001	1.61	0.52***	0.03	323.87	<.001	1.68
Computer	0.62***	0.03		626.19	<.001	1.86	0.65***	0.02	767.83	<.001	1.92
Smartphone	0.35***	0.03		108.33	<.001	1.42	0.33***	0.04	75.67	<.001	1.39
d. Outcome Variable: Patient-Provider Communication
		Yes = 35,897; No = 37,077					Yes = 38,197; No = 35,132
Step 1: Sociodemographic Controls	χ²(22) = 5787.80, p < .001; Nagelkerke R² = .10						χ²(22) = 5983.24, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1533.87, p < .001; Δ_{Nagelkerke R²} = .03						Δ_χ²(3) = 1768.45, p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.54***	0.03		326.75	<.001	1.72	0.60***	0.03	388.15	<.001	1.81
Computer	0.52***	0.03		414.83	<.001	1.68	0.67***	0.02	764.44	<.001	1.95
Smartphone	0.55***	0.04		240.95	<.001	1.73	0.31***	0.04	64.92	<.001	1.37
e. Outcome Variable: Medical Records
		Yes = 39,651; No = 33,323					Yes = 44,543; No = 28,786
Step 1: Sociodemographic Controls	χ²(22) = 9050.82, p < .001; NagelkerkeR² = .16						χ²(22) = 9049.09, p < .001; Nagelkerke R² = .16
Step 2: Access Variables	Δ_χ²(3) = 2022.84, p < .001; Δ_{Nagelkerke R²} = .03						Δ_χ²(3) = 2252.79 p < .001; Δ_Nagelkerke R² = .04
Home Internet	0.59***	0.03		382.16	<.001	1.80	0.62***	0.03	443.36	<.001	1.86
Computer	0.70***	0.03		740.81	<.001	2.02	0.77***	0.02	1046.44	<.001	2.16
Smartphone	0.47***	0.04		177.86	<.001	1.59	0.38***	0.04	98.71	<.001	1.47

	2021						2023
	B	SE		Wald	p	OR	B	SE	Wald	p	OR
a. Outcome Variable: Job Searches
	Yes = 6,484; No = 30,075						Yes = 6,167; No = 30,481
Step 1: Sociodemographic Controls	χ²(22) = 4292.55, p < .001; Nagelkerke R² = .18						χ²(22) = 4400.28, p < .001; Nagelkerke R² = .19
Step 2: Access Variables	Δ_χ²(3) = 62.00, p < .001; Δ_{Nagelkerke R²} = .003						Δ_χ²(3) = 47.05, p < .001; Δ_{Nagelkerke R²} = .002
Home Internet	0.13*	0.05		5.22	.02	1.13	0.01	0.05	0.05	.82	1.01
Computer	0.28***	0.05		32.12	<.001	1.32	0.31***	0.05	40.66	<.001	1.37
Smartphone	0.15*	0.08		4.22	.04	1.17	0.03	0.08	0.13	.72	1.03
b. Outcome Variable: Government Resources
			Yes = 13,868; No = 22,691				Yes = 14,436; No = 22,212
Step 1: Sociodemographic Controls	χ²(22) = 2301.51, p < .001; Nagelkerke R² = .08						χ²(22) = 2848.79, p < .001; Nagelkerke R² = .10
Step 2: Access Variables	Δ_χ²(3) = 344.16, p < .001; Δ_{Nagelkerke R²} = .01						Δ_χ²(3) = 382.80, p < .001; Δ_{Nagelkerke R²} = .01
Home Internet	0.32***	0.04		56.89	<.001	1.37	0.34***	0.04	63.22	<.001	1.40
Computer	0.43***	0.04		139.39	<.001	1.54	0.50***	0.04	198.55	<.001	1.64
Smartphone	0.27***	0.05		29.14	<.001	1.30	0.18**	0.06	10.61	.001	1.20
c. Outcome Variable: Health Information Seeking
		Yes = 39,737; No = 33,237					Yes = 41,616; No = 31,713
Step 1: Sociodemographic Controls	χ²(22) = 5634.41, p < .001; Nagelkerke R² = .10						χ²(22) = 6301.29, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1553.08, p < .001; Δ_{Nagelkerke R²} = .03						Δ_χ²(3) = 1663.76 p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.48***	0.03		274.57	<.001	1.61	0.52***	0.03	323.87	<.001	1.68
Computer	0.62***	0.03		626.19	<.001	1.86	0.65***	0.02	767.83	<.001	1.92
Smartphone	0.35***	0.03		108.33	<.001	1.42	0.33***	0.04	75.67	<.001	1.39
d. Outcome Variable: Patient-Provider Communication
		Yes = 35,897; No = 37,077					Yes = 38,197; No = 35,132
Step 1: Sociodemographic Controls	χ²(22) = 5787.80, p < .001; Nagelkerke R² = .10						χ²(22) = 5983.24, p < .001; Nagelkerke R² = .11
Step 2: Access Variables	Δ_χ²(3) = 1533.87, p < .001; Δ_{Nagelkerke R²} = .03						Δ_χ²(3) = 1768.45, p < .001; Δ_{Nagelkerke R²} = .03
Home Internet	0.54***	0.03		326.75	<.001	1.72	0.60***	0.03	388.15	<.001	1.81
Computer	0.52***	0.03		414.83	<.001	1.68	0.67***	0.02	764.44	<.001	1.95
Smartphone	0.55***	0.04		240.95	<.001	1.73	0.31***	0.04	64.92	<.001	1.37
e. Outcome Variable: Medical Records
		Yes = 39,651; No = 33,323					Yes = 44,543; No = 28,786
Step 1: Sociodemographic Controls	χ²(22) = 9050.82, p < .001; NagelkerkeR² = .16						χ²(22) = 9049.09, p < .001; Nagelkerke R² = .16
Step 2: Access Variables	Δ_χ²(3) = 2022.84, p < .001; Δ_{Nagelkerke R²} = .03						Δ_χ²(3) = 2252.79 p < .001; Δ_Nagelkerke R² = .04
Home Internet	0.59***	0.03		382.16	<.001	1.80	0.62***	0.03	443.36	<.001	1.86
Computer	0.70***	0.03		740.81	<.001	2.02	0.77***	0.02	1046.44	<.001	2.16
Smartphone	0.47***	0.04		177.86	<.001	1.59	0.38***	0.04	98.71	<.001	1.47

Note. All statistically significant tests are in bold text. The impact of each type of access was tested together in combined models for every beneficial activity after controlling for sociodemographic factors.

p < .05.

p < .01.

***

p < .001.

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