Evidence map›Paper›PMID 34542413›Full record

ArticleJournal of medical Internet research2021

Understanding Preferences for Lifestyle-Focused Visual Text Messages in Patients With Cardiovascular and Chronic Respiratory Disease: Discrete Choice Experiment.

Michael Choi, Rebecca Raeside, Karice Hyun, Stephanie R Partridge, Aravinda Thiagalingam, Julie Redfern

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Information Needs and Communication Strategies for People with Coronary Heart Disease: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael ChoiWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0002-3642-9007
Rebecca RaesideWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0003-2016-6393
Karice HyunWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0002-0164-7725
Stephanie R PartridgeWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0001-5390-3922
Aravinda ThiagalingamWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0002-7763-7806
Julie RedfernWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID 0000-0001-8707-5563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSupporting healthy lifestyle changes is a key aim of cardiovascular and pulmonary rehabilitation programs. SMS text messaging programs have demonstrated effectiveness in cardiovascular disease risk reduction, weight loss, increasing physical activity, and smoking cessation. The optimization of SMS text messaging programs may deliver greater population benefits as mobile phone use becomes ubiquitous. Visual messaging (ie, image-based messages) has the potential to communicate health messages via digital technology and result in enhanced engagement.

objectiveThis study aims to determine and understand patient preferences for lifestyle-focused visual text messages that support cardiovascular and pulmonary rehabilitation.

methodsA discrete choice experiment was conducted in a 4-stage iterative process to elicit patient preferences for visual message features. Attribute and level development yielded 3 attributes (purpose, image type, and web address), and 16 choice sets were subsequently constructed according to a full factorial design. Patients participating in cardiovascular and pulmonary rehabilitation were surveyed (on the web) for their preferences regarding the visual message choice sets. Respondents were asked to choose among 16 pairs of visual messages regarding key lifestyle behaviors, namely, physical activity and nutrition. The data were analyzed using a conditional logit model.

resultsThere was a total of 1728 observations from 54 unique respondents. Two factors that were associated with patient preference were gain-framed purpose compared with no purpose (odds ratio [OR] 1.93, 95% CI 1.40-2.65) and real images compared with cartoon images (OR 1.26, 95% CI 1.04-1.54). A loss-framed purpose was less preferred than no purpose (OR 0.55, 95% CI 0.42-0.74). Overall, patients preferred positive images that were colorful and engaged with text that supported the image and had a preference for images of real people rather than cartoons.

conclusionsA discrete choice experiment is a scientific method for eliciting patient preferences for a visual messaging intervention that is designed to support changes in lifestyle behaviors. SMS text messaging programs that use visual aids may result in greater patient satisfaction by using a gain frame, using real images, and avoiding a loss frame. Further research is needed to explore the feasibility of implementation and the health and behavioral outcomes associated with such visual messaging programs.

Indexed as

Smoking CessationText MessagingExerciseHumansLife StylePatient Preferencecardiovascular diseaseconsumer preferenceslifestyle changemHealthpersuasive health technologyrehabilitationrespiratory diseasesecondary preventionvisual communication

Identifiers

PMID34542413
PMCPMC8491117

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.