The differences between attended appointments and daily available appointments after applying each overbooking approach expressed as a percentage of average daily available appointments stratified by clinics, based on 1000 iterations
| Overbooking approaches | Diabetic and endocrine (n=73) | Surgery (n=58) | Urology (n=45) | Oncology (n=48) | Gastroenterology (n=24) | Paediatric (n=137) | Obstetrics and gynaecology (n=102) |
| Mean percentage (%) and distribution interval (2.5%–97.5% percentile) | |||||||
| 5% | 20.5 (11.0, 31.5) | 19.0 (8.6, 31.0) | 24.4 (11.1, 37.8) | 10.4 (0.0, 20.8) | 20.8 (8.3, 41.7) | 16.1 (10.2, 23.4) | 12.7 (5.9, 20.6) |
| 10% | 17.8 (8.2, 28.8) | 15.5 (5.2, 27.6) | 22.2 (8.9, 35.6) | 4.2 (−4.2, 14.6) | 20.8 (4.2, 41.7) | 11.7 (5.8, 19.0) | 7.8 (1.0, 15.7) |
| 15% | 13.7 (4.1, 24.7) | 10.3 (0.0, 24.1) | 17.8 (4.4, 31.1) | 0.0 (−8.3, 10.4) | 12.5 (−4.2, 33.3) | 8.0 (1.5, 15.3) | 4.9 (−2.9, 12.7) |
| 20% | 9.6 (0.0, 20.5) | 6.9 (−5.2, 20.7) | 13.3 (0.0, 26.7) | −4.2 (−14.6, 6.3) | 12.5 (−8.3, 33.3) | 4.4 (−2.2, 11.7) | 0.0 (−6.9, 8.8) |
| 25% | 6.8 (−2.7, 19.2) | 5.2 (−6.9, 17.2) | 11.1 (−2.3, 24.4) | −8.3 (−18.8, 4.2) | 8.3 (−12.5, 29.2) | 0.0 (−6.6, 8.8) | −4.9 (−12.7, 2.9) |
| 30% | 2.7 (−8.2, 13.7) | 0.0 (−10.3, 13.8) | 6.7 (−8.9, 22.2) | −12.5 (−22.9, 0.0) | 4.2 (−12.5, 25.0) | −3.6 (−10.9, 4.4) | −8.8 (−16.7, 0.0) |
| 35% | −1.4 (−13.7, 9.6) | −3.4 (−15.5, 10.3) | 2.2 (−11.1, 17.8) | −16.7 (−27.1,–6.3) | 0.0 (−16.7, 20.8) | −8.0 (−15.3, 0.0) | −12.7 (−20.6,–3.9) |
| 40% | −5.5 (−15.1, 6.8) | −6.9 (−19.0, 6.9) | 0.0 (−15.6, 15.6) | −20.8 (−31.3,–8.3) | −4.2 (−25.0, 20.8) | −12.4 (−19.7,–2.9) | −16.7 (−25.5,–7.8) |
| Prediction model | 5.5 (−4.1, 17.8) | 5.2 (−5.2, 17.2) | 6.7 (−4.4, 22.2) | 2.1 (−6.3, 10.4) | 8.3 (−12.5, 25.0) | 3.6 (−2.2, 10.9) | 2.9 (−3.9, 10.8) |
The difference is presented as a percentage to compare between clinics.
N, number of daily available appointments. For the prediction model, the mean predicted risk for each sample was calculated and used to sample the additional observations for each iteration.