The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Access to Health Information and Support: A Public Highway or a Private Road?
Abstract
Information and communication technologies may help reduce health disparities through their potential for promoting health, preventing disease, and supporting clinical care for all. Unfortunately, those who have preventable health problems and lack health insurance coverage are the least likely to have access to such technologies. Barriers to access include cost, geographic location, illiteracy, disability, and factors related to the capacity of people to use these technologies appropriately and effectively. A goal of universal access to health information and support is proposed to augment existing initiatives to improve the health of individuals and the public. Both public- and private-sector stakeholders, particularly government agencies and private corporations, will need to collaboratively reduce the gap between the health information "haves" and "have-nots." This will include supporting health information technology access in homes and public places, developing applications for the growing diversity of users, funding research on access-related issues, ensuring the quality of health information and support, enhancing literacy in health and technology, training health information intermediaries, and integrating the concept of universal access to health information and support into health planning processes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“there is evidence to suggest that reliance on Web-based interventions may exacerbate health inequalities by excluding those on the “wrong” side of the digital divide.”
From Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress (2012) · cites this paper as [21]
Citations
Cites
Assessing, Controlling, and Assuring the Quality of Medical Information on the Internet
Silberg, W. M. (1997) · JAMA · doi:10.1001/jama.277.15.1244 · Cited by 2,433
Relationship of Functional Health Literacy to Patients' Knowledge of Their Chronic Disease
Williams, M. V., Baker, D. W., Parker, R. M., & Nurss, J. R. (1998) · Archives of Internal Medicine · doi:10.1001/archinte.158.2.166 · Cited by 1,159
Inadequate Functional Health Literacy Among Patients at Two Public Hospitals
Williams, M. V. (1995) · JAMA · doi:10.1001/jama.1995.03530210031026 · Cited by 1,103
Lawrence, S., & Giles, C. L. (1998) · Science · doi:10.1126/science.280.5360.98 · Cited by 975
Bridging the Racial Divide on the Internet
Hoffman, D. L., & Novak, T. P. (1998) · Science · doi:10.1126/science.280.5362.390 · Cited by 450
The health care experience of patients with low literacy
Baker, D. W. (1996) · Archives of Family Medicine · doi:10.1001/archfami.5.6.329 · Cited by 446
The effects of computer-tailored smoking cessation messages in family practice settings.
Strecher, V. J., Kreuter, M. W., den Boer, D.-J., Kobrin, S. C., Hospers, H. J., & Skinner, C. S. (1994) · PubMed · Cited by 417
Barry, M. J., Fowler, F. J., Mulley, A. G., Henderson, J. V., & Wennberg, J. E. (1995) · Medical Care · doi:10.1097/00005650-199508000-00003 · Cited by 382
Robinson, T. N. (1998) · JAMA · doi:10.1001/jama.280.14.1264 · Cited by 317
Weiss, B. D. (1998) · PubMed · Cited by 238
Cited by
Sorted by citations
Literacy and health outcomes: A systematic review of the literature
DeWalt, D. A., Berkman, N. D., Sheridan, S., Lohr, K. N., & Pignone, M. P. (2004) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2004.40153.x · Cited by 2,309
Consumer health information seeking on the internet: the state of the art
Cline, R. J. W. (2001) · Health Education Research · doi:10.1093/her/16.6.671 · Cited by 1,708
Hesse, B. W., Nelson, D. E., Kreps, G. L., Croyle, R. T., Arora, N. K., Rimer, B. K., & Viswanath, K. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.22.2618 · Cited by 1,523
Cotten, S. R., & Gupta, S. S. (2004) · Social Science & Medicine · doi:10.1016/j.socscimed.2004.02.020 · Cited by 835
Rice, R. E. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.07.032 · Cited by 721
Metadata
- Authors
- Eng, T. R., Maxfield, A., Patrick, K., Deering, M. J., Ratzan, S. C., & Gustafson, D. H.
- Affiliations
- United States Department of Health and Human Services (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1998-10-21
- Volume
- 280
- Issue
- 15
- Pages
- 1371
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2038610585
- Cited by
- 335
- References
- 49
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 9 · 2018: 11 · 2017: 9 · 2016: 18 · 2015: 7 · 2014: 18 · 2013: 18 · 2012: 6
- FWCI
- 33.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Keywords
- health information technology, health information access, health disparities, digital divide, health literacy, health insurance coverage, technology access barriers, health planning, universal access, disease prevention
- MeSH terms
- Delivery of Health Care, Health Services Needs and Demand, Medical Informatics, Public Health, Private Sector, Public Sector, Internet
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
