
Kommunikation, die im Alltag zwischen Ärzten und Patienten stattfindet, wird durch eine Reihe störender Faktoren begleitet. Neben spezifischen Interessen sind es vor allem Fehler und Missverständnisse, die von beiden Seiten zum Risiko der Risikokommunikation beitragen. Am Beispiel des Mammographie-Screenings wird dargestellt, wie die Bedeutung von Testergebnissen und die Aussagekraft von Maßnahmen, die zur Reduktion von Risiken ergriffen werden, oft missverstanden wird. Ferner wird gezeigt, wie eine gelungene Risikokommunikation aussehen kann.
Communication between physicians and patients in everyday life is marked by a number of disruptive factors. Apart from specific interests, mistakes, and misunderstandings on both sides, there are main factors that contribute to the risk in risk communication. Using the example of mammography screening, the current work demonstrates how the meaning of test results and the informative value of measures taken to reduce risk are often misunderstood. Finally, the current work provides examples of successful risk communication.
GMS German Medical Science; 13:Doc07
Male, Bayes'sche Regel, Bayes’ theorem, mammography screening, relative risk reduction, Breast Neoplasms, Sensitivity and Specificity, Article, Bayes' theorem, Mammographie-Screening, Risk communication; Mammography screening; Bayes' theorem; Probabilities; Natural frequencies; Relative risk reduction; Survival rates, risk communication, Risk Factors, Humans, natural frequencies, Wahrscheinlichkeiten, Early Detection of Cancer, Probability, Überlebensraten, Physician-Patient Relations, Communication, Bayes’sche Regel, probabilities, R, Prostatic Neoplasms, Risikokommunikation, Prostate-Specific Antigen, 610 Medical sciences; Medicine, Survival Rate, survival rates, ddc: 610, natürliche Häufigkeiten, Medicine, Female, relative Risikoreduktion, Risk Reduction Behavior, Mammography
Male, Bayes'sche Regel, Bayes’ theorem, mammography screening, relative risk reduction, Breast Neoplasms, Sensitivity and Specificity, Article, Bayes' theorem, Mammographie-Screening, Risk communication; Mammography screening; Bayes' theorem; Probabilities; Natural frequencies; Relative risk reduction; Survival rates, risk communication, Risk Factors, Humans, natural frequencies, Wahrscheinlichkeiten, Early Detection of Cancer, Probability, Überlebensraten, Physician-Patient Relations, Communication, Bayes’sche Regel, probabilities, R, Prostatic Neoplasms, Risikokommunikation, Prostate-Specific Antigen, 610 Medical sciences; Medicine, Survival Rate, survival rates, ddc: 610, natürliche Häufigkeiten, Medicine, Female, relative Risikoreduktion, Risk Reduction Behavior, Mammography
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