Philip Sedgwick and Angela Hall believe that undergraduate teaching of risk requires combining the teaching of statistics with communication
skills
The
need for doctors to have proficient communication skills is well
recognised,1
but teaching students how to communicate risk to patients seems to have
received little attention in the undergraduate medical curriculum.
Primarily, it is statisticians who teach the concept of probability.
This ultimately translates into the communication of risk that informs
the clinical consultation. Although students need to appreciate the
basics of statistical methods and know the different ways to convey
risk,2
it is particularly important that they have the opportunity to practise
these skills under safe conditions and receive constructive
feedback.1
3
The
recently established graduate entry programme at St George's
Hospital Medical School, London, has an integrated curriculum across
all
years.4
The course is delivered by using problem based learning whereby
students use triggers from a problem case or scenario to identify their
own learning
issues.5
It has been suggested that students are more motivated by such an
approach, where the practical problems they experience act as a
stimulus for
learning.6
Despite the best efforts of teachers, however, students tend to see
medical statistics as inherently mathematical and
irrelevant.7
Within the graduate entry programme integrating the teaching of medical
statistics with communication skills has enabled students to see the
relevance of medical statistics, in particular the need to communicate
risk effectively to
patients.
Various techniques can be
used to raise students' awareness about the problems that may
occur when communicating risk, not only for the patient but also the
doctor. Qualitative expressions of probability, such as
"unlikely," "a chance,"
"occasionally," and "probably" are used all the
time in clinical medicine to describe risk. A useful approach is to ask
students individually to rate such expressions as a numerical
proportion,8
placed in relation to an event occurring, such as a child being born
with Down's syndrome. The results of this exercise enable
students to compare their own interpretations with those of their
peers. Typically, the interpretation varies
widely,9
and some students find it impossible to ascribe a single value to a
qualitative expression of probability. Ideally, this awareness raising
exercise encourages students to think carefully about how their
patients might interpret such descriptive statements of probability,
and clarify if
necessary.
Role playing
consultations between patient and doctor plus small group discussions
play a valuable part in the students' general
education.10
These teaching methods develop the skills of listening, presenting
ideas, decision making, and working as part of a team. They help the
student appreciate that one of the biggest problems that clinicians
face is how to interpret results from epidemiological studies or
clinical trials in ways that have meaning to the individual patient
sitting in front of them. The patient will either develop a disease or
not, and it is not obvious how the patient's view of their
outcome is altered by any risk the clinician ascribes. After feedback
the key message that students take away is to tailor information to
what the patient wishes to know and to verify his or her
understanding.
| Appreciating
risks in relation to everyday events |
| Familiar risk |
Chance it happens |
| Getting three balls in the UK national lottery |
1 in 11 |
| Dying on the road over 50 years of driving |
1 in 85 |
| Transmission of measles |
1 in 100 |
| Dying of any cause in the next year |
1 in 100 |
| Annual risk of death from smoking 10 cigarettes per day |
1 in 200 |
| Getting four balls in the UK national lottery |
1 in 206 |
| Needing emergency treatment in the next year after being injured by a can, bottle, or jar |
1 in 1000 |
| Needing emergency treatment in the next year after being injured by a bed mattress or pillow |
1 in 2000 |
| Death by an accident at home |
1 in 7100 |
| Getting five balls in the UK national lottery |
1 in 11 098 |
| Death by an accident at work |
1 in 40000 |
| Death playing soccer |
1 in 50000 |
| Death by murder |
1 in 100000 |
| Being hit in your home by a crashing aeroplane |
1 in 250000 |
| Death by rail accident |
1 in 500000 |
| Drowning in the bath in the next year |
1 in 685000 |
| Getting six balls in the UK national lottery |
1 in 2 796763 |
| Being struck by lightning |
1 in 10 000 000 |
| Death from variant Creutzfeldt-Jakob disease |
1 in 10 000 000 |
| Death from a nuclear power accident |
1 in 10 000 0000 |
Most risks given are approximate.
Sources:
- Calman K, Royston G. Risk language and dialects. BMJ
1997;315:939-42.
- Adams A, Smith A. Risk perception and communication: recent developments and implications for anaesthesia.Anaesthesia 2001;56:745-55.
- Best Treatments (www.besttreatments.org).