The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan
Open accessAbstract
BACKGROUND: Patients are being encouraged to go online to obtain health information and interact with their health care systems. However, a 2014 survey found that less than 60% of American adults aged 65 and older use the Internet, with much lower usage among black and Latino seniors compared with non-Hispanic white seniors, and among older versus younger seniors. OBJECTIVE: Our aims were to (1) identify race/ethnic and age cohort disparities among seniors in use of the health plan's patient portal, (2) determine whether race/ethnic and age cohort disparities exist in access to digital devices and preferences for using email- and Web-based modalities to interact with the health care system, (3) assess whether observed disparities in preferences and patient portal use are due simply to barriers to access and inability to use the Internet, and (4) learn whether older adults not currently using the health plan's patient portal or website have a potential interest in doing so in the future and what kind of support might be best suited to help them. METHODS: We conducted two studies of seniors aged 65-79 years. First, we used administrative data about patient portal account status and utilization in 2013 for a large cohort of English-speaking non-Hispanic white (n=183,565), black (n=16,898), Latino (n=12,409), Filipino (n=11,896), and Chinese (n=6314) members of the Kaiser Permanente Northern California health plan. Second, we used data from a mailed survey conducted in 2013-2014 with a stratified random sample of this population (final sample: 849 non-Hispanic white, 567 black, 653 Latino, 219 Filipino, and 314 Chinese). These data were used to examine race/ethnic and age disparities in patient portal use and readiness and preferences for using digital communication for health-related purposes. RESULTS: Adults aged 70-74 and 75-79 were significantly less likely than 65-69 year olds to be registered to use the patient portal, and among those registered, to have used the portal to send messages, view lab test results, or order prescription refills. Across all age groups, non-Hispanic whites and Chinese seniors were significantly more likely than black, Latino, and Filipino seniors to be registered and to have performed these actions. The survey found that black, Latino, and Filipino seniors and those 75 years old and older were significantly less likely to own digital devices (e.g., computers, smartphones), use the Internet and email, and be able and willing to use digital technology to perform health care-related tasks, including obtaining health information, than non-Hispanic whites, Chinese, and younger seniors (aged 65-69), respectively. The preference for using non-digital modalities persisted even among Internet users. CONCLUSIONS: Health plans, government agencies, and other organizations that serve diverse groups of seniors should include social determinants such as race/ethnicity and age when monitoring trends in eHealth to ensure that eHealth disparities do not induce greater health status and health care disparities between more privileged and less privileged groups.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
In the citing paper
“Several barriers may restrict portal use for more vulnerable patients.43,44”
From Speaking up about patient-perceived serious visit note errors: Patient and family experiences and recommendations (2021) · cites this paper as [44]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kontos, E., Blake, K. D., Chou, W.-Y. S., & Prestin, A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3117 · Cited by 917
Choi, N. G., & DiNitto, D. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2645 · Cited by 871
Patient Portals and Patient Engagement: A State of the Science Review
Irizarry, T., DeVito Dabbs, A., & Curran, C. R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4255 · Cited by 732
Patterns of Technology Use Among Older Adults With and Without Disabilities
Gell, N. M., Rosenberg, D. E., Demiris, G., LaCroix, A. Z., & Patel, K. V. (2015) · The Gerontologist · doi:10.1093/geront/gnt166 · Cited by 450 · cited 1×
“Within the senior age group, computer access and ability to use the Internet has been shown to be lower among blacks and Hispanic/Latinos than among non-Hispanic whites [12,17,18,27,32,34-36], those aged ≥75 [12,16,17,31,34-39], those with a high school diploma or less [12,17,18,26,34-36], those with a low household i…”
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 · doi:10.1136/jamia.2010.006015 · Cited by 428
The digital divide in adoption and use of a personal health record
Yamin, C. K., Emani, S., Williams, D. H., Lipsitz, S. R., Karson, A. S., Wald, J. S., & Bates, D. W. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.34 · Cited by 353
Definition of Health 2.0 and Medicine 2.0: A Systematic Review
Van De Belt, T. H., Engelen, L. J., Berben, S. A., & Schoonhoven, L. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1350 · Cited by 351
Jensen, J. D., King, A. J., Davis, L. A., & Guntzviller, L. M. (2010) · Journal of Aging and Health · doi:10.1177/0898264310366161 · Cited by 181 · cited 1×
“It is well documented that digital divides exist in the general US population by race/ethnicity, income, educational attainment, and health literacy [11-31].”
Cited by
Latulippe, K., Hamel, C., & Giroux, D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6731 · Cited by 458
New technologies, new disparities: The intersection of electronic health and digital health literacy
Smith, B., & Magnani, J. W. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2019.05.066 · Cited by 446
Portz, J. D., Bayliss, E. A., Bull, S., Boxer, R. S., Bekelman, D. B., Gleason, K., & Czaja, S. (2019) · Journal of Medical Internet Research · doi:10.2196/11604 · Cited by 313
Kruse, C., Fohn, J., Wilson, N., Nunez Patlan, E., Zipp, S., & Mileski, M. (2020) · JMIR Medical Informatics · doi:10.2196/20359 · Cited by 295
Carini, E., Villani, L., Pezzullo, A. M., Gentili, A., Barbara, A., Ricciardi, W., & Boccia, S. (2021) · Journal of Medical Internet Research · doi:10.2196/26189 · Cited by 275
Metadata
- Authors
- Gordon, N. P., & Hornbrook, M. C.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2016-03-04
- Volume
- 18
- Issue
- 3
- Pages
- e50
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W2288214779
- Cited by
- 366
- References
- 8
- FWCI
- 104.58
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan. https://app.cochat.ai/papers/10.2196/jmir.5105
- The paper
- Gordon, N. P., & Hornbrook, M. C. (2016). Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan. Journal of Medical Internet Research. https://doi.org/10.2196/jmir.5105
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.