Table 5.
Frequency of correct identification of activities and number of indications of interest
| No. groups correctly identifying activity a | Expressions of interest b | |||||
|---|---|---|---|---|---|---|
| Activity | Session 2 | Session 3 | Total | Session 2 | Session 3 | Total |
| Examining dead bodies from a crime scene | 8 (100%) | 7 (88%) | 15 (94%) | 30 (14.9%) | 24 (12%) | 54 (13.5%) |
| Examining dead bodies to work out the cause of death | 7 (88%) | 7 (88%) | 14 (88%) | 15 (7.5%) | 16 (8%) | 31 (7.7%) |
| Working with sports teams and athletes | 1 (12%) | 1 (12%) | 2 (13%) | 13 (6.5%) | 17 (8.5%) | 30 (7.5%) |
| Looking after children and young people when they are in hospital | 6 (75%) | 7 (88%) | 13 (81%) | 8 (4%) | 21 (10.5%) | 29 (7.2%) |
| Working in the Army/RAF/Navy | 5 (62%) | 7 (88%) | 12 (75%) | 12 (6%) | 17 (8.5%) | 29 (7.2%) |
| Talking to people with mental health problems | 5 (62%) | 2 (25%) | 7 (44%) | 11 (5.5%) | 16 (8%) | 27 (6.7%) |
| Helping people with cancer | 8 (100%) | 8 (100%) | 16 (100%) | 10 (5%) | 16 (8%) | 26 (6.5%) |
| Performing operations | 8 (100%) | 8 (100%) | 16 (100%) | 18 (9%) | 7 (3.5%) | 25 (6.2%) |
| Developing new treatments or drugs | 5 (62%) | 6 (75%) | 11 (69%) | 12 (6%) | 13 (6.5%) | 25 (6.2%) |
| Looking after babies when they are born prematurely | 4 (50%) | 5 (62%) | 9 (56%) | 12 (6%) | 7 (3.5%) | 19 (4.7%) |
| Researching new ways to try and cure diseases | 5 (62%) | 4 (50%) | 9 (56%) | 8 (4%) | 7 (3.5%) | 15 (3.7%) |
| Diagnosing illness from X-rays and scans | 8 (100%) | 7 (88%) | 15 (94%) | 8 (4%) | 2 (1%) | 10 (2.5%) |
| Talking to people about their everyday problems | 1 (12%) | 4 (50%) | 5 (31%) | 4 (2%) | 6 (3%) | 10 (2.5%) |
| Putting people to sleep before an operation | 8 (100%) | 8 (100%) | 16 (100%) | 9 (4.5%) | 0 | 9 (2.2%) |
| Tracking the spread of diseases and trying to prevent spreading | 7 (88%) | 7 (88%) | 14 (88%) | 2 (1%) | 6 (3%) | 8 (2%) |
| Teaching students | 2 (25%) | 5 (62%) | 7 (44%) | 2 (1%) | 5 (2.5%) | 7 (1.7%) |
| Helping people overcome disability | 2 (25%) | 4 (50%) | 6 (38%) | 5 (2.5%) | 2 (1%) | 7 (1.7%) |
| Caring for people at the end of their life | 2 (25%) | 2 (25%) | 4 (25%) | 5 (2.5%) | 2 (1%) | 7 (1.7%) |
| Looking through a microscope to diagnose diseases | 8 (100%) | 8 (100%) | 16 (100%) | 6 (3%) | 0 | 6 (1.5%) |
| Finding out what people are allergic to | 8 (100%) | 7 (88%) | 15 (94%) | 2 (1%) | 3 (1.5%) | 5 (1.2%) |
| Helping elderly people | 1 (12%) | 5 (62%) | 6 (38%) | 4 (2%) | 1 (0.5%) | 5 (1.2%) |
| Delivering babies by performing an operation (C-section) | 7 (88%) | 8 (100%) | 15 (94%) | 1 (0.5%) | 3 (1.5%) | 4 (1%) |
| Giving injections | 7 (88%) | 8 (100%) | 15 (94%) | 1 (0.5%) | 3 (1.5%) | 4 (1%) |
| Performing CPR (resuscitation) to try and save someone’s life | 7 (88%) | 7 (88%) | 14 (88%) | 1 (0.5%) | 2 (1%) | 3 (0.7%) |
| Helping pregnant women if they develop problems | 2 (25%) | 8 (100%) | 10 (63%) | 1 (0.5%) | 2 (1%) | 3 (0.7%) |
| Prescribing medicines to people | 5 (62%) | 6 (75%) | 11 (69%) | 1 (0.5%) | 1 (0.5%) | 2 (0.5%) |
| Sending people home from hospital | 5 (62%) | 5 (62%) | 10 (63%) | 0 | 1 (0.5%) | 1 (0.2%) |
| Organising the delivery of healthcare in a region | 3 (38%) | 1 (12%) | 4 (25%) | 0 | 0 | 0 |
| Developing campaigns to improve the health of everyone - stopping smoking, sexual health | 0 | 0 | 0 | 0 | 0 | 0 |
| Working for a company to make sure people’s workplaces are safe | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 201 | 200 | 401 | |||
aThe number of 8 groups per session, 16 in total, to correctly identify each response as part of doctors’ work
bEach participant was given two adhesive dots to allocate to the available activities to indicate which attracted them most. They could give two to the same activity, one each to separate activities, or allocate one or neither. The total is the sum of those allocated, which may be less than the number distributed to participants