ArticleBMC medical informatics and decision making2001
Identifying patient preferences for communicating risk estimates: a descriptive pilot study.
Article in BMC medical informatics and decision making, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.
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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.
Who cites it
55 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Risk as an attribute in discrete choice experiments: a systematic review of the literature.The patient · 2014Pooled it
- Using alternative statistical formats for presenting risks and risk reductions.The Cochrane database of systematic reviews · 2011Pooled it
- American society of clinical oncology clinical practice guideline update on the use of pharmacologic interventions including tamoxifen, raloxifene, and aromatase inhibition for breast cancer risk reduction.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2009Guideline
- Design features of graphs in health risk communication: a systematic review.Journal of the American Medical Informatics Association : JAMIAPooled it
- The effect of alternative graphical displays used to present the benefits of antibiotics for sore throat on decisions about whether to seek treatment: a randomized trial.PLoS medicine · 2009Trial
- Design of the BRISC study: a multicentre controlled clinical trial to optimize the communication of breast cancer risks in genetic counselling.BMC cancer · 2008Trial
- Tables or bar graphs? Presenting test results in electronic medical records.Medical decision making : an international journal of the Society for Medical Decision MakingTrial
- Healthcare professionals' experiences returning monogenic, polygenic, and integrated risk results in the eMERGE study.HGG advances · 2026Article
- Development and evaluation of patient-centred polygenic risk score reports for glaucoma screening.BMC medical genomics · 2025Article
- Future burden of myocardial infarction in Australia: impact on health outcomes between 2019 and 2038.European heart journal. Quality of care & clinical outcomes · 2024Article
- Future Burden of Ischemic Stroke in Australia: Impact on Health Outcomes between 2019 and 2038.Neuroepidemiology · 2024Article
- Strategies for communicating scientific evidence on healthcare to managers and the population: a scoping review.Health research policy and systems · 2023Article
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- A tool to help patients visualize ASCVD risk and the potential impact of risk-lowering interventions.International journal of cardiology. Cardiovascular risk and prevention · 2022Article
- Investigating the presentation of uncertainty in an icon array: A randomized trial.PEC innovation · 2022Article
- American Heart Association's Life's Simple 7: Lifestyle Recommendations, Polygenic Risk, and Lifetime Risk of Coronary Heart Disease.Circulation · 2022Article
- Genetic susceptibility, obesity and lifetime risk of type 2 diabetes: The ARIC study and Rotterdam Study.Diabetic medicine : a journal of the British Diabetic Association · 2021Article
- Lifetime risk of stroke stratified by chronic kidney disease and hypertension in the general Asian population: the Ohasama study.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Article
- Short time horizons for fracture prediction tools: time for a rethink.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Article
- A Combination of Blood Pressure and Total Cholesterol Increases the Lifetime Risk of Coronary Heart Disease Mortality: EPOCH-JAPAN.Journal of atherosclerosis and thrombosis · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients increasingly seek more active involvement in health care decisions, but little is known about how to communicate complex risk information to patients. The objective of this study was to elicit patient preferences for the presentation and framing of complex risk information.
methodTo accomplish this, eight focus group discussions and 15 one-on-one interviews were conducted, where women were presented with risk data in a variety of different graphical formats, metrics, and time horizons. Risk data were based on a hypothetical woman's risk for coronary heart disease, hip fracture, and breast cancer, with and without hormone replacement therapy. Participants' preferences were assessed using likert scales, ranking, and abstractions of focus group discussions.
resultsForty peri- and postmenopausal women were recruited through hospital fliers (n = 25) and a community health fair (n = 15). Mean age was 51 years, 50% were non-Caucasian, and all had completed high school. Bar graphs were preferred by 83% of participants over line graphs, thermometer graphs, 100 representative faces, and survival curves. Lifetime risk estimates were preferred over 10 or 20-year horizons, and absolute risks were preferred over relative risks and number needed to treat.
conclusionAlthough there are many different formats for presenting and framing risk information, simple bar charts depicting absolute lifetime risk were rated and ranked highest overall for patient preferences for format.
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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.