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Communicating beliefs to patients
Page 91 Black blue DOCTOR–PATIENT COMMUNICATION 91 (1991) manipulated mood in a group of medical students and evaluated the effect of induced positive affect on their decision-making processes. Positive affect was induced by informing subjects in this group that they had performed in the top 3 per cent of all graduate students nationwide in an anagram task. All subjects were then given a set of hypothetical patients and asked to decide which one was most likely to have lung cancer. The results showed that those subjects in the positive affect group spent less time to reach the correct decision and showed greater interest in the case histories by going beyond the assigned task. The authors therefore concluded that mood influenced the subjects’ decision-making processes. 2 The profile characteristics of the health professional. Factors such as age, sex, weight, geographical location, previous experience and the health professional’s own behaviour may also effect the decision-making process. For example, smoking doctors have been shown to spend more time counselling about smoking than their nonsmoking counterparts (Stokes and Rigotti 1988). Further, thinner practice nurses have been shown to have different beliefs about obesity and offer different advice to obese patients than overweight practice nurses (Hoppe and Ogden 1997). In summary, variability in health professionals’ behaviour can be understood in terms of the factors involved in the decision-making process. In particular, many factors pre-dating the development of the original hypothesis such as the health professional’s own beliefs may contribute to this variability. Communicating beliefs to patients If health professionals hold their own health-related beliefs, these may be communicated to the patients. A study by McNeil et al. (1982) examined the effects of health professionals’ language on the patients’ choice of hypothetical treatment. They assessed the effect of offering surgery either if it would ‘increase the probability of survival’ or would ‘decrease the probability of death’. The results showed that patients are more likely to choose surgery if they believed it increased the probability of survival rather than if it decreased the probability of death. The phrasing of such a question would very much reflect the individual beliefs of the doctor, which in turn influenced the choices of the patients. Similarly, Senior et al. (2000) explored the impact of framing risk for heart disease or arthritis as either genetic or unspecified using hypothetical scenarios. The results showed that how risk was presented influenced both the participants’ ratings of how preventable the illness was and their beliefs about causes. In a similar vein, Misselbrook and Armstrong (2000) asked patients whether they would accept treatment to prevent stroke and presented the effectiveness of this treatment in four different ways. The results showed that although all the forms of presentation were actually the same, 92 per cent of the patients said they would accept the treatment if it reduced their chances of stroke by 45 per cent (relative risk); 75 per cent said they would accept the treatment if it reduced their risk from 1 in 400 to 1 in 700 (absolute risk); 71 per cent said they would accept it if the doctor had to treat 35 patients for 25 years to prevent one stroke (number needed to treat); and only 44 per cent said they would accept it if the treatment had a 3 per cent chance of doing them good and a 97 per cent chance of doing Page 91 Black blue