Cited by 428Health Literacy and Information AccessibilityElectronic Health Records SystemsHealth disparities and outcomes

Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access

Open access
Sarkar, U., Karter, A. J., Liu, J. Y., Adler, N. E., Nguyen, R., Lopez, A., Schillinger, D.·2011·Journal of the American Medical Informatics Association

Abstract

The authors investigated use of the internet-based patient portal, kp.org, among a well-characterized population of adults with diabetes in Northern California. Among 14,102 diverse patients, 5671 (40%) requested a password for the patient portal. Of these, 4311 (76%) activated their accounts, and 3922 (69%), logged on to the patient portal one or more times; 2990 (53%) participants viewed laboratory results, 2132 (38%) requested medication refills, 2093 (37%) sent email messages, and 835 (15%) made medical appointments. After adjustment for age, gender, race/ethnicity, immigration status, educational attainment, and employment status, compared to non-Hispanic Caucasians, African-Americans and Latinos had higher odds of never logging on (OR 2.6 (2.3 to 2.9); OR 2.3 (1.9 to 2.6)), as did those without an educational degree (OR compared to college graduates, 2.3 (1.9 to 2.7)). Those most at risk for poor diabetes outcomes may fall further behind as health systems increasingly rely on the internet and limit current modes of access and communication.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/jamia.2010.006015

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sarkar, U., Karter, A. J., Liu, J. Y., Adler, N. E., Nguyen, R., Lopez, A., & Schillinger, D.
Affiliations
  • San Francisco General Hospital (US)
  • Kaiser Permanente (US)
  • University of California, San Francisco (US)
Corresponding author
Sarkar, U.
Venue
Journal of the American Medical Informatics Association
Published
2011-05-01
Volume
18
Issue
3
Pages
318-321
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2144168775
Cited by
428
References
17
Citations by year
2026: 14 · 2025: 9 · 2024: 14 · 2023: 23 · 2022: 27 · 2021: 37 · 2020: 27 · 2019: 41 · 2018: 50 · 2017: 35 · 2016: 39 · 2015: 35 · 2014: 33 · 2013: 26 · 2012: 14
FWCI
45.19
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Medical Informatics Association (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • Agency for Healthcare Research and Quality (K08HS017594, R18 HS01726101)
  • U.S. Public Health Service (ULRR024131)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK080726, R01-DK65664, R01DK081796, R01DK065664)
  • National Institute of Child Health and Human Development
  • National Center for Research Resources (KL2RR024130)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD046113)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Social Sciences › Health › Health disparities and outcomes
Keywords
patient portals, diabetes mellitus, digital divide, social disparities, Kaiser Permanente, racial and ethnic disparities, educational attainment, online health communication
MeSH terms
Adult, Aged, Ambulatory Care Information Systems, California, Diabetes Mellitus, Educational Status, Ethnicity, Female, Humans, Male, Middle Aged, Patient Acceptance of Health Care, Socioeconomic Factors, Healthcare Disparities, Health Records, Personal

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review