The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach

BackgroundChronic 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 in...

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Main Authors: Gee, Perry M, Greenwood, Deborah A, Paterniti, Debora A, Ward, Deborah, Miller, Lisa M Soederberg
Format: Article
Language:English
Published: JMIR Publications 2015-04-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2015/4/e86/
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author Gee, Perry M
Greenwood, Deborah A
Paterniti, Debora A
Ward, Deborah
Miller, Lisa M Soederberg
author_facet Gee, Perry M
Greenwood, Deborah A
Paterniti, Debora A
Ward, Deborah
Miller, Lisa M Soederberg
author_sort Gee, Perry M
collection DOAJ
description BackgroundChronic 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. ObjectiveThe 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. MethodsUsing 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. ResultsWe 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. ConclusionsThe 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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spelling doaj.art-6c78011bbee1430e90b9dc906ec50f632022-12-21T20:16:02ZengJMIR PublicationsJournal of Medical Internet Research1438-88712015-04-01174e8610.2196/jmir.4067The eHealth Enhanced Chronic Care Model: A Theory Derivation ApproachGee, Perry MGreenwood, Deborah APaterniti, Debora AWard, DeborahMiller, Lisa M SoederbergBackgroundChronic 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. ObjectiveThe 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. MethodsUsing 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. ResultsWe 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. ConclusionsThe 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.http://www.jmir.org/2015/4/e86/
spellingShingle Gee, Perry M
Greenwood, Deborah A
Paterniti, Debora A
Ward, Deborah
Miller, Lisa M Soederberg
The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
Journal of Medical Internet Research
title The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
title_full The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
title_fullStr The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
title_full_unstemmed The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
title_short The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
title_sort ehealth enhanced chronic care model a theory derivation approach
url http://www.jmir.org/2015/4/e86/
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