Table 2.

Estimates for the linear regression model on the total number of digital health tool categories adopted (n=362).

Variables			β (95% CI)		P value
Intercept			4.08 (3.06 to 5.1)		<.001
Age			–0.06 (–0.24 to 0.12)		.49
Federal poverty level			–0.01 (–0.18 to 0.17)		.96
Number of PCPa visits in past 12 months			0.05 (–0.21 to 0.31)		.71
Number of nonurgent ERb visits in past 12 months			0.31 (0 to 0.63)		.05
Number of urgent ER visits in past 12 months			–0.31 (–0.67 to 0.04)		.08
Number of ER visits leading to inpatient stays in past 12 months			0.58 (0.2 to 0.95)		<.001
Difficulty			–0.02 (–0.21 to 0.18)		.87
Seek care in non–life-threatening situations
	Primary care physician (reference)	N/Ac		N/A
	Urgent care	0.42 (–0.01 to 0.85)		.06
	Emergency room	0.28 (–0.43 to 0.98)		.44
	Other	0.51 (–0.19 to 1.21)		.15
Has PCP
	Has PCP (reference)	N/A		N/A
	No PCP	–0.61 (–1.73 to 0.05)		.07
Presence of chronic condition
	Has chronic condition (reference)	N/A		N/A
	No chronic condition	–0.72 (–1.1 to –0.33)		<.001
Race
	Non-White (reference)	N/A		N/A
	White	0.20 (–0.2 to 0.59)		.34
Gender
	Female (reference)	N/A		N/A
	Male	–0.38 (–0.76 to 0)		.05
Ethnicity
	Hispanic (reference)	N/A		N/A
	Non-Hispanic	0.00 (–0.59 to 0.58)		.99
Insurance
	Public (reference)	N/A		N/A
	Private	0.37 (–0.09 to 0.83)		.11
	Mix	0.24 (–0.53 to 1.01)		.54
	Unsure	–0.18 (–1.41 to 1.06)		.78
	Uninsured	–0.52 (–1.21 to 0.18)		.14
Education
	Professional degree (reference)	N/A		N/A
	Master’s	–0.29 (–1.57 to 0.98)		.65
	Bachelor’s	–0.20 (–1.01 to 0.61)		.63
	Associate’s	–0.18 (–0.88 to 0.51)		.60
	Some college	–0.23 (–1.09 to 0.63)		.60
	Less than high school or high school graduate/GEDd	–0.65 (–1.37 to 0.08)		.08
Living area
	Urban (reference)	N/A		N/A
	Suburban	–0.61 (–1.06 to –0.16)		.01
	Rural	–0.62 (–1.17 to –0.06)		.03
Internet
	Always has access (reference)	N/A		N/A
	Does not always have access	–0.25 (–0.76 to 0.25)		.32

^aPCP: primary care provider.

^bER: emergency room.

^cN/A: not applicable.

^dGED: General Educational Development.