Implementation Strategies to Enhance the Implementation of eHealth Programs for Patients With Chronic Illnesses: Realist Systematic Review
Open accessAbstract
Background: There is growing evidence of the positive effects of electronic health (eHealth) interventions for patients with chronic illness, but implementation of such interventions into practice is challenging. Implementation strategies that potentially impact implementation outcomes and implementation success have been identified. Which strategies are actually used in the implementation of eHealth interventions for patients with chronic illness and which ones are the most effective is unclear. Objective: This systematic realist review aimed to summarize evidence from empirical studies regarding (1) which implementation strategies are used when implementing eHealth interventions for patients with chronic illnesses living at home, (2) implementation outcomes, and (3) the relationship between implementation strategies, implementation outcomes, and degree of implementation success. Methods: A systematic literature search was performed in the electronic databases MEDLINE, Embase, PsycINFO, Scopus, Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Library. Studies were included if they described implementation strategies used to support the integration of eHealth interventions into practice. Implementation strategies were categorized according to 9 categories defined by the Expert Recommendations for Implementing Change project: (1) engage consumers, (2) use evaluative and iterative strategies, (3) change infrastructure, (4) adapt and tailor to the context, (5) develop stakeholder interrelationships, (6) use financial strategies, (7) support clinicians, (8) provide interactive assistance, and (9) train and educate stakeholders. Implementation outcomes were extracted according to the implementation outcome framework by Proctor and colleagues: (1) acceptability, (2) adoption, (3) appropriateness, (4) cost, (5) feasibility, (6) fidelity, (7) penetration, and (8) sustainability. Implementation success was extracted according to the study authors’ own evaluation of implementation success in relation to the used implementation strategies. Results: The implementation strategies management support and engagement, internal and external facilitation, training, and audit and feedback were directly related to implementation success in several studies. No clear relationship was found between the number of implementation strategies used and implementation success. Conclusions: This is the first review examining implementation strategies, implementation outcomes, and implementation success of studies reporting the implementation of eHealth programs for patients with chronic illnesses living at home. The review indicates that internal and external facilitation, audit and feedback, management support, and training of clinicians are of importance for eHealth implementation. The review also points to the lack of eHealth studies that report implementation strategies in a comprehensive way and highlights the need to design robust studies focusing on implementation strategies in the future. Trial Registration: PROSPERO CRD42018085539; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=85539
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There is limited evidence of actual implementation of digital pain self-management interventions into clinical care after study completion.
“with subsequent limited evidence of actual implementation into clinical care after study completion [22,28].”
From Short-Term Findings From Testing EPIO, a Digital Self-Management Program for People Living With Chronic Pain: Randomized Controlled Trial (2023) · cites this paper as [28]
The Results (Implementation Outcomes Reported; page unavailable) say only 3 of 12 included studies reported whether eHealth programs were sustained, supporting limited evidence about continued use. The review covers chronic illnesses broadly, however, and does not establish this specifically for digital pain self-management interventions or for implementation into clinical care after study completion. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe viewpoints of policy makers are seldom recorded in scientific publications despite their important role in the outer context of implementation.
“The viewpoints of policy makers are seldom recorded in scientific publications despite their important role in the outer context of implementation [13-15].”
From Perspectives of Policy Makers and Service Users Concerning the Implementation of eHealth in Sweden: Interview Study (2022) · cites this paper as [15]
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Ledel Solem, I. K., Varsi, C., Eide, H., Kristjansdottir, O. B., Børøsund, E., Schreurs, K. M. G., Waxenberg, L. B., Weiss, K. E., Morrison, E. J., Haaland-Øverby, M., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/15889 · Cited by 80 · see citing works
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Engaging with EPIO, a digital pain self-management program: a qualitative study
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“, patients, health care providers) involvement in the development process [18], issues with attrition/adherence [19, 20], limited evidence of efficacy [12, 16] and limited implementation and actual use post study [21, 22].”
BackgroundBostrøm, K., Børøsund, E., Eide, H., Varsi, C., Kristjansdottir, Ó. B., Schreurs, K. M. G., Waxenberg, L. B., Weiss, K. E., Morrison, E. J., Stavenes Støle, H., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/47284 · Cited by 12 · see citing works
“Finally, rigorous efficacy testing to establish efficacy appears to be scarce in the existing digital pain self-management interventions [17,27], with subsequent limited evidence of actual implementation into clinical care after study completion [22,28].”
Self-citationSolberg Nes, L., Børøsund, E., Varsi, C., Eide, H., Waxenberg, L. B., Weiss, K. E., Morrison, E. J., Støle, H. S., Kristjansdottir, Ó. B., Bostrøm, K., et al. (2024) · Pain Reports · doi:10.1097/pr9.0000000000001174 · Cited by 7 · see citing works
Self-citation
- Authors
- Varsi, C., Solberg Nes, L., Kristjansdottir, O. B., Kelders, S. M., Stenberg, U., Zangi, H. A., Børøsund, E., Weiss, K. E., Stubhaug, A., Asbjørnsen, R. A., Westeng, M., Ødegaard, M., & Eide, H.
- Affiliations
- Oslo University Hospital (NO)
- North-West University (ZA)
- VID Specialized University (NO)
- University of Washington (US)
- University of Oslo (NO)
- Corresponding author
- Varsi, Cecilie
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2019-09-27
- Volume
- 21
- Issue
- 9
- Pages
- e14255
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC6789428
- OpenAlex
- W2976336448
- Cited by
- 148
- References
- 64
- Citations by year
- 2026: 20 · 2025: 15 · 2024: 22 · 2023: 23 · 2022: 28 · 2021: 29 · 2020: 7 · 2019: 4
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Twente Research Information (publishedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- University of Twente Research Information (submittedVersion, cc-by)
- Funders
- Norges Forskningsråd (256574)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- digital health interventions, chronic disease, implementation strategies, implementation outcomes, implementation success, home care, audit and feedback, facilitation, management support, clinician training, stakeholder engagement, Expert Recommendations for Implementing Change, sustainability, fidelity, acceptability, adoption, feasibility, cost, penetration, appropriateness, telemedicine
- MeSH terms
- Chronic Disease, Health Plan Implementation, Humans, Telemedicine
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 ›
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