Where students go when they are ill: how medical students access health care
Bibliographic record
Abstract
BACKGROUND: Doctors have high levels of self-treatment, investigation and referral, but little is known about how medical students seek health care. Methods We carried out a questionnaire survey of Year 2 and 4 students, exploring their health-seeking behaviour and attitudes to self-care. SETTING: A London medical school. RESULTS: The response rate was 80%. Nearly all students (99%) were registered with a general practitioner (GP). A total of 43% had informally consulted doctors who were friends or relatives in the previous 12 months (61% of those with a doctor as a family member had informally consulted, and 33% of those without a doctor as a family member had informally consulted; P = 0.001). In all, 13% of Year 4 students and 2.2% of Year 2 students had received a prescription from a friend (P = 0.007). Almost a quarter (22%) of Year 4 and 1.3% of Year 2 students reported having directly contacted a specialist (P = 0.01). A third (32%) (43% Year 4, 1.3% Year 2; P = 0.006) of those referred in the previous 12 months had contacted the consultant directly. In all, 9.2% (0% Year 2, 20% Year 4; P = 0.001) had initiated their own investigations, and 25% (47% Year 4, 7% Year 2; P = 0.001) had been examined by a colleague. Students agreed that it was appropriate for doctors to self-investigate (52%), self-refer (59.1%) and self-prescribe (39.2%). CONCLUSION: Medical students appear to bypass their GPs and initiate investigations, referrals or treatment. This is associated with increased clinical access or access through family members. Self-management of illness is learnt early on in students' careers and is increased with availability and increasing clinical access.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".