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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach

Open access
Gee, Perry M, Greenwood, Deborah A, Paterniti, Debora A, Ward, Deborah, Miller, Lisa M Soederberg·2015·Journal of Medical Internet Research

Abstract

BACKGROUND: Chronic illnesses are significant to individuals and costly to society. When systematically implemented, the well-established and tested Chronic Care Model (CCM) is shown to improve health outcomes for people with chronic conditions. Since the development of the original CCM, tremendous information management, communication, and technology advancements have been established. An opportunity exists to improve the time-honored CCM with clinically efficacious eHealth tools. OBJECTIVE: The first goal of this paper was to review research on eHealth tools that support self-management of chronic disease using the CCM. The second goal was to present a revised model, the eHealth Enhanced Chronic Care Model (eCCM), to show how eHealth tools can be used to increase efficiency of how patients manage their own chronic illnesses. METHODS: Using Theory Derivation processes, we identified a "parent theory", the Chronic Care Model, and conducted a thorough review of the literature using CINAHL, Medline, OVID, EMBASE PsychINFO, Science Direct, as well as government reports, industry reports, legislation using search terms "CCM or Chronic Care Model" AND "eHealth" or the specific identified components of eHealth. Additionally, "Chronic Illness Self-management support" AND "Technology" AND several identified eHealth tools were also used as search terms. We then used a review of the literature and specific components of the CCM to create the eCCM. RESULTS: We identified 260 papers at the intersection of technology, chronic disease self-management support, the CCM, and eHealth and organized a high-quality subset (n=95) using the components of CCM, self-management support, delivery system design, clinical decision support, and clinical information systems. In general, results showed that eHealth tools make important contributions to chronic care and the CCM but that the model requires modification in several key areas. Specifically, (1) eHealth education is critical for self-care, (2) eHealth support needs to be placed within the context of community and enhanced with the benefits of the eCommunity or virtual communities, and (3) a complete feedback loop is needed to assure productive technology-based interactions between the patient and provider. CONCLUSIONS: The revised model, eCCM, offers insight into the role of eHealth tools in self-management support for people with chronic conditions. Additional research and testing of the eCCM are the logical next steps.

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Metadata

Authors
Gee, P. M., Greenwood, D. A., Paterniti, D. A., Ward, D., & Miller, L. M. S.
Venue
Journal of Medical Internet Research
Published
2015-04-01
Volume
17
Issue
4
Pages
e86
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2081207448
Cited by
292
References
14
FWCI
49.08
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach. https://app.cochat.ai/papers/10.2196/jmir.4067
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Gee, P. M., Greenwood, D. A., Paterniti, D. A., Ward, D., & Miller, L. M. S. (2015). The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach. Journal of Medical Internet Research. https://doi.org/10.2196/jmir.4067

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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.