The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Internet-based Patient Self-care: The Next Generation of Health Care Delivery
Open accessAbstract
The United States health care system is an outdated model in need of fundamental change. As part of this change, the system must explore and take advantage of the potential benefits of the "e-revolution," a phenomenon that includes everyday use of the Internet by the general public. During 2002, an estimated 100 million Americans will have obtained information--including health information--from the Web as a basis for making decisions. The Internet is thus an influential force; and, as such, this medium could have a revolutionary role in retooling the trillion-dollar United States health care industry to improve patient self-management, patient satisfaction, and health outcomes. As a group, physicians use the Internet more than do many other sectors of the general adult population. However, physicians have not received sufficient information to convince them that they can provide higher-quality care by using the Internet; indeed, few studies have assessed the Internet's value for improving patients' medical self-management and health behavior, as well as their clinical outcomes and relationships with health care practitioners. New e-technology formats introduced to the growing consumer movement will drive the next generation of self-care by allowing patients to manage their own health conveniently and proficiently.
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Cites
Effect of computer support on younger women with breast cancer
Gustafson, D. H., Hawkins, R., Pingree, S., McTavish, F., Arora, N. K., Mendenhall, J., Cella, D. F., Serlin, R. C., Apantaku, F. M., Stewart, J., et al. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016007435.x · Cited by 387
The Diabetes Network Internet-Based Physical Activity Intervention
McKay, H. G., King, D., Eakin, E. G., Seeley, J. R., & Glasgow, R. E. (2001) · Diabetes Care · doi:10.2337/diacare.24.8.1328 · Cited by 363 · cited 1×
“A study by McKay et al [10] found that patients who participated in an online diabetes education and support group lowered their blood glucose levels more than controls did.”
BackgroundAccess to Health Information and Support: A Public Highway or a Private Road?
Eng, T. R., Maxfield, A., Patrick, K., Deering, M. J., Ratzan, S. C., & Gustafson, D. H. (1998) · JAMA · doi:10.1001/jama.280.15.1371 · Cited by 335
Computer‐Mediated Social Support: Single Young Mothers as a Model System
Dunham, P. J., Hurshman, A., Litwin, E., Gusella, J., Ellsworth, C., & Dodd, P. W. D. (1998) · American Journal of Community Psychology · doi:10.1023/a:1022132720104 · Cited by 193
Cited by
Kata, A. (2012) · Vaccine · doi:10.1016/j.vaccine.2011.11.112 · Cited by 1,094
Slomian, J., Bruyère, O., Reginster, J. Y., & Emonts, P. (2017) · Midwifery · doi:10.1016/j.midw.2017.03.005 · Cited by 109
Kwok, C., Degen, C., Moradi, N., & Stacey, D. (2022) · Supportive Care in Cancer · doi:10.1007/s00520-022-07052-z · Cited by 56
Vonk Noordegraaf, A., Huirne, J. A. F., Pittens, C. A., van Mechelen, W., Broerse, J. E. W., Brölmann, H. A. M., & Anema, J. R. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1915 · Cited by 54
Patients Know Best: Qualitative Study on How Families Use Patient-Controlled Personal Health Records
Schneider, H., Hill, S., & Blandford, A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4652 · Cited by 32
Metadata
- Authors
- Forkner-Dunn, J.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2003-05-15
- Volume
- 5
- Issue
- 2
- Pages
- e8
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W1968234907
- Cited by
- 162
- References
- 4
- FWCI
- 14.27
- Type
- journal article
- Language
- en
- Open access
- gold
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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.