One size does not fit all: the case for tailoring print materials
Abstract
Printed health education materials frequently consist of mass-produced brochures, booklets, or pamphlets designed for a general population audience. Although this one-size-fits-all approach might be appropriate under certain circumstances and even produce small changes at relatively modest costs, it cannot address the unique needs, interests, and concerns of different individuals. With the advent and dissemination of new communication technologies, our ability to collect information from individuals and provide feedback tailored to the specific information collected is not only possible, but practical. The purpose of this article is to: (a) distinguish between tailored print communication and other common communication-based approaches to health education and behavior change; (b) present a theoretical and public health rationale for tailoring health information; and (c) describe the steps involved in creating and delivering tailored print communication programs. Studies suggest computer tailoring is a promising strategy for health education and behavior change. Practitioners and researchers should understand the approach and consider the possibilities it presents for enhancing their work in disease prevention.
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Tailoring content to match a person's demographic characteristics may still be necessary to avoid presenting material that users find so alienating or demotivating that they stop using the intervention.
“Nevertheless, conventional tailoring of content to match an individual's demographic characteristics 55,56 may still be required to ensure that users are not presented with material they find so alienating or demotivating that they abruptly cease using the intervention.”
From Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions (2016) · cites this paper as [55]
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- Authors
- Kreuter, M. W., Strecher, V. J., & Glassman, B.
- Affiliations
- Saint Louis University (US)
- University of Michigan (US)
- National Cancer Institute (US)
- Corresponding author
- Kreuter, Matthew W.
- Venue
- Annals of Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-12
- Volume
- 21
- Issue
- 4
- Pages
- 276-283
- ISSN
- 0742-5554 (ISSN-L)
- 0883-6612
- 1532-4796
- OpenAlex
- W2013145400
- Cited by
- 831
- References
- 54
- Citations by year
- 2026: 32 · 2025: 24 · 2024: 26 · 2023: 24 · 2022: 27 · 2021: 26 · 2020: 33 · 2019: 39 · 2018: 43 · 2017: 41 · 2016: 31 · 2015: 34 · 2014: 38 · 2013: 46 · 2012: 42
- FWCI
- 19.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Behavioral Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- health education materials, health behavior change, personalized health information, disease prevention, public health communication
- MeSH terms
- Algorithms, Health Education, Health Promotion, Humans, Information Services, Software, Teaching Materials, United States
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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