Table 4 Summary of significantly high out-of-pocket expenditure in all models detailed in Tables 5, 6, 7 and 8
Model structure | Zero vs some OOPE: Table5 | Regression of log of outlays: Table6 | Two-part joint: Table7 | Heavy vs normal OOPE: Table8 |
|---|---|---|---|---|
Total number of conditions (Model 1) | Highly significant | Highly significant | Highly significant | Highly significant |
Individual Conditions (Model 2) | Cancer, heart, HBP and diabetes are significant | Cancer, HBP, diabetes and depression are significant | Cancer and asthma are significant | Cancer and diabetes are significant |
Multiple morbidity (Model 3) | Non-specific combinations of two, three, four and more conditions are significant but not combinations of particular conditions | Non-specific combinations of three, four and more conditions are significant but not combinations of particular conditions | Non-specific combinations of conditions are significant but not combinations of particular conditions | Non-specific combinations of two, three, four and more conditions and the combination of HBP, arthritis and diabetes are significant |
Natural clusters (Model 4) | All clusters significant | All clusters significant | All clusters significant | All clusters significant |
Clinical clusters (Model 5) | 4 of 5 clusters are significant | 4 of 5 clusters are significant | Only cancer cluster is significant | 3 of 5 clusters are significant |