Table 3.
Distributional cost composition analysis
| Deciles | HCE | 4-class combination (main analysis) | 3- & 4-class combination (sensitivity analysis) |
|---|---|---|---|
| Full population (n = 1840) | |||
| 1 | 55 | − 303 [− 659; 53] | −220 [− 732; 292] |
| 2 | 1837 | −90 [− 473; 293] | 107 [− 397; 611] |
| 3 | 2898 | 162 [− 345; 669] | 379 [− 229; 988] |
| 4 | 4386 | 510 [−164; 1184] | 693 [− 106; 1493] |
| 5 | 6779 | 995 [33; 1958] | 982 [− 98; 2062] |
| 6 | 10,062 | 1730 [268; 3192] | 1304 [− 194; 2801] |
| 7 | 15,135 | 2504 [357; 4652] | 1475 [− 674; 3624] |
| 8 | 23,369 | 3516 [182; 6850] | 2291 [− 1341; 5923] |
| 9 | 42,046 | 4984 [− 1360; 11,328] | 6987 [− 823; 14,798] |
| Not pre-exposed (n = 542) | |||
| 1 | 629 | − 340 [− 1074; 395] | − 1082 [− 5818; 3654] |
| 2 | 1400 | − 332 [− 836; 172] | − 479 [− 1779; 821] |
| 3 | 1979 | −315 [− 933; 303] | −72 [− 1250; 1105] |
| 4 | 2544 | − 132 [− 1007; 743] | 328 [− 1258; 1914] |
| 5 | 3455 | 202 [− 1124; 1529] | 857 [− 1388; 3101] |
| 6 | 4879 | 587 [− 1548; 2722] | 1277 [− 2013; 4567] |
| 7 | 7949 | 1200 [− 1968; 4367] | 1716 [− 3359; 6792] |
| 8 | 12,058 | 2087 [− 2436; 6610] | 3881 [− 4434; 12,196] |
| 9 | 21,928 | 4317 [− 2969; 11,603] | 4233 [− 21,459; 29,924] |
This table illustrates results from the counterfactual distribution analysis (total costs and costs attributed to compliance). Numbers in [square brackets] represent bootstrap-based 95% confidence intervals. HCE amounts represent Swiss francs (CHF). The decomposition analysis took the following potential confounders into account age, sex, living in a French-speaking or Italian-speaking canton, degree of urbanity of place of living, having a high deductible, participating in a managed care model, having at least one supplementary insurance, having had high medication expenditures of at least CHF 5′000 within 360 days before the index date, having had an inpatient hospital stay within 360 days before the index date, number of pharmaceutical cost groups (which are drug-prescription based indicators for co-morbidities). Deciles represent the 9 points in the HCE distribution that split the full sample into 10 equally large parts
Positive values indicate lower health care expenditures (HCE) in compliers, and vice versa