JMIR J Med Internet Res Journal of Medical Internet Research 1438-8871 JMIR Publications Toronto, Canada v24i5e39712 35617681 10.2196/39712 Corrigenda and Addenda Corrigenda and Addenda Correction: Tracking Healthy People 2020 Internet, Broadband, and Mobile Device Access Goals: An Update Using Data From the Health Information National Trends Survey Greenberg-Worisek Alexandra J PhD, MPH 1
Mayo Clinic College of Medicine and Science 200 First Street SW Rochester, MN, 55906 United States 1 507 538 7388 worisek.alexandra@gmail.com
https://orcid.org/0000-0001-5935-3239 Kurani Shaheen MSc 1 https://orcid.org/0000-0003-2366-7505 Finney Rutten Lila J PhD, MPH 1 https://orcid.org/0000-0001-7487-9407 Blake Kelly D SCD 2 https://orcid.org/0000-0002-2151-2983 Moser Richard P PhD 2 https://orcid.org/0000-0001-6884-0653 Hesse Bradford W PhD 2 https://orcid.org/0000-0003-1142-1161 Mayo Clinic College of Medicine and Science Rochester, MN United States National Cancer Institute, National Institutes of Health Rockville, MD United States Corresponding Author: Alexandra J Greenberg-Worisek worisek.alexandra@gmail.com 5 2022 26 5 2022 24 5 e39712 19 5 2022 19 5 2022 ©Alexandra J Greenberg-Worisek, Shaheen Kurani, Lila J Finney Rutten, Kelly D Blake, Richard P Moser, Bradford W Hesse. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.05.2022. 2022

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 https://www.jmir.org/2019/6/e13300/

In “Tracking Healthy People 2020 Internet, Broadband, and Mobile Device Access Goals: An Update Using Data From the Health Information National Trends Survey” (J Med Internet Res 2019;21(6):e13300) the authors made the following updates.

The authors were notified of data errors in two of the Health Information National Trends Survey (HINTS) cycle datasets (HINTS 4, Cycle 3 and HINTS 4, Cycle 4); the errors were in the weights provided for use in the analysis of these data [1].

These weights primarily affected logistic regression analyses, reported in Table 2 of the originally published article. This previous version of Table 2 is in Multimedia Appendix 1. Following the HINTS error notice [1], the authors reran the logistic regression analyses. The corrected version of the article includes the following updated Table 2.

In rerunning this analysis, only one difference was found that resulted in changes in the conclusion. Namely, geography is significant, with those in rural settings having significantly lower odds of having internet access via a mobile phone compared to their urban counterparts (OR = 0.80; 95% CI: 0.65-0.98; P=.033). This finding was not reported as significant in the original analysis, due to the above-mentioned error in the HINTS data sets [1]. All other conclusions remain consistent with those reported in the original publication.

In the section “Internet Access via Cellular Network” in the Results, the first sentence in the second paragraph originally read as follows:

Most of the sociodemographic variables within our multivariable model were statistically significant after adjusting for survey year, save for geography (Table 2).

It has been corrected as follows:

Most of the sociodemographic variables within our multivariable model were statistically significant after adjusting for survey year (Table 2).

Weighted multivariate logistic regression model of predictors of having internet access via mobile phone among those who reported having internet access. Data from the National Cancer Institute’s Health Information National Trends Survey (HINTS) administrations between 2008 and 2017 (n=14,794).

Variable Predictors of internet access via cell phone
Odds ratio (95% CI) Beta coefficient SE beta Adjusted Wald F P value
Sex 1.32 .252
Female Refa Ref Ref
Male 1.08 (0.95, 1.22) 0.7 0.06
Age 166.15 <.001
18-34 Ref Ref Ref
35-49 0.43 (0.36-0.51) –0.84 0.09
50-64 0.20 (0.17-0.24) –1.61 0.10
65-74 0.08 (0.06-0.10) –2.52 0.11
>75 0.04 (0.03-0.05) –3.24 0.16
Race and ethnicity 4.07 .008
Non-Hispanic White Ref Ref Ref
Hispanic 1.25 (1.00-1.56) 0.23 0.11
Non-Hispanic Black 1.39 (1.09-1.77) 0.33 0.12
Non-Hispanic Other 0.83 (0.63-1.10) –0.18 0.14
Education 5.26 .002
Less than high school Ref Ref Ref
High school graduate 1.03 (0.65-1.64) 0.03 0.24
Some college 1.42 (0.89-2.27) 0.35 0.24
College graduate 1.47 (0.93-2.31) 0.38 0.23
Income (US $) 14.06 <.001
<$20,000 Ref Ref Ref
$20,000 to <$35,000 0.98 (0.73-1.30) –0.02 0.15
$35,000 to <$50,000 1.07 (0.83-1.39) 0.07 0.13
$50,000 to <$75,000 1.33 (1.04-1.70) 0.28 0.13
$75,000 + 1.92 (1.50-2.46) 0.65 0.12
Geography 4.60 .033
Urban Ref Ref Ref
Rural 0.80 (0.65-0.98) –0.23 0.11
HINTS b Survey Year 126.77 <.001
HINTS 3 (2008) Ref Ref Ref
HINTS 4 Cycle 1 (2011) 17.86 (13.17-24.21) 2.88 0.15
HINTS 4 Cycle 2 (2012) 21.59 (16.06-29.02) 3.07 0.15
HINTS 4 Cycle 3 (2013) 29.45 (21.32-40.69) 3.38 0.16
HINTS 4 Cycle 4 (2014) 30.45 (22.24-41.69) 3.42 0.16
HINTS 5 Cycle 1 (2017) 51.31 (37.54-70.11) 3.94 0.16

aRef: reference group.

bHINTS: Health Information National Trends Survey.

In addition, the corresponding author's email address has been changed from greenberg.alexandra@mayo.edu to worisek.alexandra@gmail.com, as the author is no longer affiliated with Mayo Clinic College of Medicine and Science.

The correction will appear in the online version of the paper on the JMIR Publications website on May 26, 2022 together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Originally published Table 2.

 Abbreviations HINTS

Health Information National Trends Survey

 HINTS Data Errors, Remediation, and Recommendations Health Information National Trends Survev 2022-05-19 https://hints.cancer.gov/data/data-remediation.aspx