ArticleThe patient2021
Communicating Test Results from a General Health Check: Preferences from a Discrete Choice Experiment Survey.
Article in The patient, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
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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.
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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.
Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Communicating blood test results in primary care: a mixed-methods systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Pooled it
- Public perceptions of myocardial infarction: Do illness perceptions predict preferences for health check results.Preventive medicine reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth checks can detect risk factors and initiate prevention of cardiovascular diseases but there is no consensus on how to communicate the results. The aim of this study was to investigate the preferences of the general population for communicating health check results.
methodsA randomly selected sample of the Swedish population aged 40-70 years completed a discrete choice experiment survey that included questions on sociodemographics, lifestyle and health and 15 choice questions consisting of six attributes (written results, notification method, consultation time, waiting time, lifestyle recommendation and cost). Data were analyzed with a latent class analysis (LCA). Relative importance of the attributes and predicted uptake for several scenarios were estimated.
resultsIn the analysis, 432 individuals were included (response rate 29.6%). A three-class LCA model best fit the data. Cost was the most important attribute in all classes. Preferences heterogeneity was found for the other attributes; in Class 1, receiving consultation time and the written results were important, respondents in Class 2 dominated on costs and respondents in Class 3 found consultation time, waiting time and lifestyle recommendations to be important. Health literate respondents were more likely to belong to Class 3. The predicted uptake rates ranged from 7 to 88% for different health checks with large differences across the classes.
conclusionCost was most important when deciding whether to participate in a health check. Although cost was the most important factor, it is not sufficient to offer health checks free-of-charge if other requirements regarding how the test results are communicated are not in place; participants need to be able to understand their results.
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Registered trials
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