Measuring the implementation of behavioral intervention technologies: Recharacterization of established outcomes
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Abstract
Behavioral intervention technologies (BITs) are websites, software, mobile apps, and sensors designed to help users address or change behaviors, cognitions, and emotional states. BITs have the potential to transform health care delivery, and early research has produced promising findings of efficacy. BITs also favor new models of health care delivery and provide novel data sources for measurement. However, there are few examples of successful BIT implementation and a lack of consensus on as well as inadequate descriptions of BIT implementation measurement. The aim of this viewpoint paper is to provide an overview and characterization of implementation outcomes for the study of BIT use in routine practice settings. Eight outcomes for the evaluation of implementation have been previously described: acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability. In a proposed recharacterization of these outcomes with respect to BIT implementation, definitions are clarified, expansions to the level of analysis are identified, and unique measurement characteristics are discussed. Differences between BIT development and implementation, an increased focus on consumer-level outcomes, the expansion of providers who support BIT use, and the blending of BITs with traditional health care services are specifically discussed. BITs have the potential to transform health care delivery. Realizing this potential, however, will hinge on high-quality research that consistently and accurately measures how well such technologies have been integrated into health services. This overview and characterization of implementation outcomes support BIT research by identifying and proposing solutions for key theoretical and practical measurement challenges.
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The study draws from recent recommendations in the implementation science literature on characterizing implementation outcomes for behavioral intervention technology.
“The study draws from recent recommendations in the implementation science literature on characterizing implementation outcomes for behavioral intervention technology (Hermes et al., 2019).”
From Mobile technology and task shifting to improve access to alcohol treatment services in Mozambique (2022) · cites this paper as Hermes et al., 2019
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Self-citation
- Authors
- Hermes, E. D., Lyon, A. R., Schueller, S. M., & Glass, J. E.
- Affiliations
- Yale University (US)
- University of Washington (US)
- University of California, Irvine (US)
- Kaiser Permanente Washington Health Research Institute (US)
- Corresponding author
- Hermes, Eric DA
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2019-01-25
- Volume
- 21
- Issue
- 1
- Pages
- e11752
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC6367669
- OpenAlex
- W2897648388
- Cited by
- 149
- References
- 73
- Citations by year
- 2026: 12 · 2025: 25 · 2024: 19 · 2023: 23 · 2022: 24 · 2021: 23 · 2020: 18 · 2019: 5
- FWCI
- 17.56
- 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)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (K01AA023859)
- National Institute on Minority Health and Health Disparities (L60 MD009373)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- implementation outcomes, implementation research, acceptability, adoption, appropriateness, feasibility, fidelity, implementation costs, penetration, sustainability, health care delivery, digital health, measurement challenges
- MeSH terms
- Behavior Therapy, Humans, Technology, Translational Research, Biomedical, Mobile Applications
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