Literature DB >> 34309671

Use of Electronic Health Record Patient Portal Accounts Among Patients With Smartphone-Only Internet Access.

Kea Turner1, Oliver Nguyen2, Young-Rock Hong3, Amir Alishahi Tabriz1, Krupal Patel4, Heather S L Jim1.   

Abstract

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Year:  2021        PMID: 34309671      PMCID: PMC8314137          DOI: 10.1001/jamanetworkopen.2021.18229

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


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Introduction

Unequal access to information and communication technology, or the digital divide, is a key determinant of patient portal adoption.[1,2] The digital divide stems from many factors, such as portal usability, digital literacy, internet access, and high broadband costs.[1,2] The latter have led many US residents (approximately 20%) to opt for smartphone-only internet access, especially individuals from minority racial/ethnic groups and adults with low income.[3] Smartphone-only internet access could bridge the digital divide in patient portals by providing internet access, or it could exacerbate disparities, given challenges with mobile portal access (eg, data usage limits, lack of mobile-friendly sites).[4] To address this gap, this study examined whether smartphone-only internet access was associated with patient portal use.

Methods

For this cross-sectional study, data from January 2017 through June 2020 were obtained from the 2017-2020 Health Information National Trends Survey, which includes questions about patient portal use and internet access in the last 12 months. The survey assesses factors associated with patient portal use, including health care access (eg, insurance coverage), digital literacy (eg, use of internet to view health information), demographic details (eg, income), and health characteristics (eg, comorbidities). We selected factors that are independently associated with patient portal usage.[1,2] We compared smartphone-only internet access and patient portal use based on sample characteristics, using the Pearson χ2 test. We ran 2 multivariable logistic regressions controlling for year to examine which factors were associated with smartphone-only internet access and patient portal use. We removed individuals with missing data or no internet access, or who did not report a health care visit in the last 12 months. We checked for multicollinearity across covariates. We used sampling and jackknife replicate weights to account for the stratified survey design and develop nationally representative estimates. Analyses were conducted in Stata, version 16 (StataCorp). A 2-sided P = .05 was used to determine statistical significance. This study was exempted by the Advarra institutional review board because of the use of publicly available data. The results are reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cross-sectional studies.[5]

Results

The sample contained 8790 adults. Most participants were women (5196 [59.1%]), non-Hispanic White (6325 [72.0%]), and aged 35 to 49 years (1964 [22.3%]) or 50 to 64 years (2995 [34.1%]). The number of US residents with smartphone-only internet access increased from 21.6% in 2017 to 31.1% in 2020 (P < .001) (Table 1). Patient portal use increased from 44.0% (766 of 1742 respondents) in 2017 to 54.8% (1208 of 2204 respondents) in 2020 (P < .001). Controlling for other factors, non-Hispanic Black participants (odds ratio [OR], 1.32; 95% CI, 1.01-1.72) and Hispanic participants (OR, 1.33; 95% CI, 1.04-1.72) had significantly higher odds of smartphone-only internet access compared with non-Hispanic White participants (Table 2). Individuals in the highest income category (≥$75 000) had significantly lower odds of smartphone-only internet access compared with those with lower income (<$20 000) (OR, 0.57; 95% CI, 0.40-0.80). Controlling for other factors, smartphone-only internet access was associated with significantly lower odds of portal use compared with having a wired connection (OR, 0.82; 95% CI, 0.74-0.91). After controlling for smartphone-only internet access, higher income (≥$75 000) was associated with significantly higher odds of portal use compared with that for individuals with lower income (<$20 000) (OR, 1.93; 95% CI, 1.62-2.30).
Table 1.

Sample Characteristics, 2017-2020

CharacteristicOverall, No. (%) (N = 8790)Smartphone-only internet access, No. (%) (n = 2444)P valuePatient portal adoption, No. (%) (n = 4379)P value
Uses internet to view health information
Yes7446 (84.7)2094 (28.1).124013 (53.9)<.001
No1344 (15.3)350 (26.0)366 (27.2)
Usual source of carea
Yes6915 (78.7)1807 (26.1)<.0013687 (53.3)<.001
No1875 (21.3)637 (34.0)692 (36.9)
Uninsured
Yes264 (3.0)95 (36.0).00371 (26.9)<.001
No8526 (97.0)2349 (27.5)4308 (50.5)
Age, y
18-341308 (14.9)625 (47.8)<.001647 (49.5).001
35-491964 (22.3)580 (29.5)997 (50.8)
50-642995 (34.1)770 (25.7)1507 (50.3)
65-741801 (20.5)368 (20.4)921 (51.1)
≥75722 (8.2)101 (14.0)307 (42.5)
Sex
Men3594 (40.9)727 (20.2)<.0011651 (45.9)<.001
Women5196 (59.1)1717 (33.0)2728 (52.5)
Race/ethnicity
Non-Hispanic White6325 (72.0)1613 (25.5)<.0013263 (51.6)<.001
Non-Hispanic Black1556 (17.7)514 (33.0)723 (46.5)
Hispanic909 (10.3)317 (34.9)393 (43.2)
Other839 (9.5)267 (31.8)409 (48.7)
Income, $
<20 000965 (11.0)369 (38.2)<.001332 (34.4)<.001
20 000-34 999960 (10.9)289 (30.1)361 (37.6)
35 000-49 9991083 (12.3)325 (30.0)502 (46.4)
50 000-74 9991703 (19.4)489 (28.7)834 (49.0)
≥75 0004079 (46.4)972 (23.8)2350 (57.6)
Education
High school diploma or less3863 (43.9)1147 (29.7)<.0011607 (41.6)<.001
College degree2832 (32.2)799 (28.2)1523 (53.8)
Postgraduate2095 (23.8)498 (23.8)1249 (59.6)
Married
Yes5211 (59.3)1334 (25.6)<.0012759 (52.9)<.001
No3579 (40.7)1110 (31.0)1620 (45.3)
Rural residence
Yes973 (11.1)298 (30.6).04410 (42.1)<.001
No7817 (88.9)2146 (27.5)3969 (50.8)
Multiple chronic conditionsb
Yes2639 (30.0)717 (27.2).381352 (51.2).08
No6151 (70.0)1727 (28.1)3027 (49.2)
Deafness or hearing impairment
Yes534 (6.1)122 (22.8).008247 (46.3).09
No8256 (93.9)2322 (28.1)4132 (50.0)
Year
20171742 (19.8)377 (21.6)<.001766 (44.0)<.001
20181818 (20.7)476 (26.2)810 (44.6)
20193026 (34.4)905 (29.9)1595 (52.7)
20202204 (25.1)686 (31.1)1208 (54.8)

Refers to having a particular clinician whom a patient consults when health care is needed (eg, primary care clinician).

Having 2 or more chronic conditions (diabetes, hypertension, heart condition, chronic lung disease, and depression or anxiety disorder).

Table 2.

Factors Associated With Smartphone-Only Internet Access and Patient Portal Use, 2017-2020

VariableSmartphone-only internet access (n = 8790)Patient portal use (n = 8790)
OR (95% CI)P valueOR (95% CI)P value
Smartphone only
YesNANA0.82 (0.74-0.91)<.001
NoNANA1 [Reference]NA
Uses internet to view health information
Yes0.92 (0.67-1.26).602.66 (2.33-3.05)<.001
No1 [Reference]NA1 [Reference]NA
Usual source of carea
Yes0.85 (0.70-1.04).121.90 (1.69-2.13)<.001
No1 [Reference]NA1 [Reference]NA
Uninsured
Yes0.87 (0.54-1.41).580.51 (0.38-0.68)<.001
No1 [Reference]NA1 [Reference]NA
Age, y
18-341 [Reference]NA1 [Reference]NA
35-490.37 (0.30-0.46)<.0010.92 (0.79-1.07).28
50-640.31 (0.25-0.39)<.0010.92 (0.80-1.06).26
65-740.24 (0.19-0.30)<.0010.95 (0.81-1.12).57
≥750.12 (0.09-0.17)<.0010.69 (0.56-0.85).001
Sex
Men0.48 (0.40-0.58)<.0010.69 (0.63-0.76)<.001
Women1 [Reference]NA1 [Reference]NA
Race/ethnicity
Non-Hispanic White1 [Reference]NA1 [Reference]NA
Non-Hispanic Black1.32 (1.01-1.72).040.92 (0.81-1.05).21
Hispanic1.33 (1.04-1.72).030.85 (0.73-0.98).03
Other0.80 (0.60-1.08).151.00 (0.85-1.17).97
Income, $
<20 0001 [Reference]NA1 [Reference]NA
20 000-34 9990.62 (0.43-0.90).011.06 (0.88-1.29).53
35 000-49 9990.61 (0.43-0.88).0091.50 (1.24-1.82)<.001
50 000-74 9990.60 (0.45-0.81).0011.56 (1.31-1.87)<.001
≥75 0000.57 (0.40-0.80).0011.93 (1.62-2.30)<.001
Education
≤HS diploma1 [Reference]NA1 [Reference]NA
College degree0.86 (0.71-1.05).141.35 (1.21-1.50)<.001
Postgraduate0.72 (0.58-0.89).0021.51 (1.34-1.70)<.001
Married
Yes1.00 (0.83-1.20).981.11 (1.01-1.23).04
No1 [Reference]NA1 [Reference]NA
Rural residence
Yes1.13 (0.89-1.45).320.76 (0.66-0.88)<.001
No1 [Reference]NA1 [Reference]NA
Multiple chronic conditionsb
Yes1.25 (1.02-1.52).031.29 (1.17-1.44)<.001
No1 [Reference]NA1 [Reference]NA
Deafness or hearing impairment
Yes0.86 (0.57-1.29).461.01 (0.83-1.22).93
No1 [Reference]NA1 [Reference]NA
Year
20171 [Reference]NA1 [Reference]NA
20181.26 (1.01-1.57).041.07 (0.93-1.23).33
20191.44 (1.14-1.82).0031.56 (1.37-1.77)<.001
20201.68 (1.29-2.19)<.0011.73 (1.51-1.98)<.001
Constant1.89 (1.21-2.95).0060.13 (0.10-0.16)<.001

Abbreviations: HS, high school; NA, not applicable; OR, odds ratio.

Usual source of care refers to having a particular provider whom a patient consults when health care is needed (eg, primary care clinician).

Multiple chronic conditions means having 2 or more chronic conditions (diabetes, hypertension, heart condition, chronic lung disease, and depression or anxiety disorder).

Refers to having a particular clinician whom a patient consults when health care is needed (eg, primary care clinician). Having 2 or more chronic conditions (diabetes, hypertension, heart condition, chronic lung disease, and depression or anxiety disorder). Abbreviations: HS, high school; NA, not applicable; OR, odds ratio. Usual source of care refers to having a particular provider whom a patient consults when health care is needed (eg, primary care clinician). Multiple chronic conditions means having 2 or more chronic conditions (diabetes, hypertension, heart condition, chronic lung disease, and depression or anxiety disorder).

Discussion

As of 2020, 1 in 4 US residents reported having smartphone-only internet access, which was negatively associated with patient portal use. This study was conducted after the passage of the 21st Century Cures Act, which aimed to enhance mobile portal access,[6] suggesting further work is needed to optimize such access. After accounting for smartphone-only internet access, some patients (eg, those with lower income) were still less likely to use portals, suggesting multimodal strategies are needed for overcoming the digital divide. Recent policy initiatives aimed at expanding broadband access will likely alleviate some digital barriers; however, other strategies (eg, technology training) are still needed. This study has several limitations, including the inability to account for language preference—a key barrier to portal adoption—and the use of self-reported data. Nonetheless, it offers important implications for how smartphone-only internet access may affect the digital divide in patient portal use.
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