| Literature DB >> 31662361 |
Yasmina Okan1, Samuel G Smith2, Wändi Bruine de Bruin3,4.
Abstract
OBJECTIVES: To investigate whether UK websites about cervical cancer screening targeted to the public include (1) information about benefits and risks of screening, possible screening results and cervical cancer statistics, (2) quantitative presentation formats recommended in the risk communication literature and (3) appeals for participation and/or informed decision-making.Entities:
Keywords: cervical cancer screening; informed decision-making; risk communication; risk perception; web analysis
Year: 2019 PMID: 31662361 PMCID: PMC6830680 DOI: 10.1136/bmjopen-2019-029551
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Evidence-based recommendations from the risk communication literature to promote understanding of probabilistic information
| Recommendation | Rationale | Key references |
| Avoid the use of verbal quantifiers without numbers (eg, women who have abnormal cells removed are | Interpretations of verbal quantifiers vary across individuals and often differ from interpretations intended by communicators. Verbal quantifiers can lead to overestimations of risks. | Budescu |
| Avoid numerical ‘1-in-X’ formats to present the chance of an outcome (eg, 1 in 12 women will have an abnormal test result). | People tend to perceive the same probabilities as higher and more worrying when presented using ‘1-in-X’ ratios, as compared with numerically equivalent ‘N-in-X*N’ ratios (eg, 10 in 120 women will have an abnormal test result) or percentages (eg, 8% of women will have an abnormal test result). | Pighin |
| Avoid presenting estimates of risk reduction in relative terms (eg, screening cuts the risk of getting cervical cancer by 75%). | Relative risk differences can obscure the true magnitude of benefit or harm, as compared with absolute risk differences (eg, screening reduces the risk of getting cervical cancer from 20 in 1000 to 5 in 1000). | Akl |
| Add simple graphical displays of numerical information (eg, icon arrays, where icons of different colours represent those affected and not affected by the risk). | Well-designed, simple graphs help to overcome difficulties in understanding numerical information and are often perceived as more appealing and easier to understand. | Galesic |
Figure 1Flow chart representing the website selection process.
Figure 2Results of analysis of content and quantitative presentation formats for information about (A) cervical screening benefits, (B) risks, (C) possible results and (D) cervical cancer statistics. A total of 14 websites were analysed. Items marked with an asterisk were added by the authors to the checklist by Kolthoff et al.30 Details concerning instances in which multiple formats were used for a given information item appear in supplementary materials (online supplementary table S3).