Table 4.
2010Q1 | 2011Q1 | 2012Q1 | 2013Q1 | 2014Q1 | 2015Q1 | 2016Q1 | |
---|---|---|---|---|---|---|---|
TOTAL | N = 443,608 | N = 466,092 | N = 488,187 | N = 513,737 | N = 544,224 | N = 571,800 | N = 599,122 |
Age | |||||||
Mean ± SD | 75.60 ± 6.84 | 75.65 ± 6.91 | 75.73 ± 6.97 | 75.70 ± 7.06 | 75.66 ± 7.15 | 75.65 ± 7.19 | 75.67 ± 7.23 |
Median (IQR) | 75 (70–80) | 75 (70–80) | 75 (70–81) | 75 (70–81) | 75 (70–81) | 75 (70–81) | 74 (69–81) |
Sex | |||||||
Female | 223,874 (50.5%) | 234,173 (50.2%) | 244,748 (50.1%) | 256,606 (49.9%) | 270,995 (49.8%) | 284,190 (49.7%) | 297,109 (49.6%) |
Male | 219,734 (49.5%) | 231,919 (49.8%) | 243,439 (49.9%) | 257,131 (50.1%) | 273,229 (50.2%) | 287,610 (50.3%) | 302,013 (50.4%) |
Income quintile | |||||||
Q1 (lowest) | 95,488 (21.5%) | 98,510 (21.1%) | 102,097 (20.9%) | 106,099 (20.7%) | 111,256 (20.4%) | 115,641 (20.2%) | 120,280 (20.1%) |
Q2 | 97,017 (21.9%) | 101,488 (21.8%) | 105,691 (21.6%) | 110,832 (21.6%) | 116,671 (21.4%) | 121,898 (21.3%) | 127,241 (21.2%) |
Q3 | 88,583 (20.0%) | 93,564 (20.1%) | 98,297 (20.1%) | 103,392 (20.1%) | 109,813 (20.2%) | 115,603 (20.2%) | 121,180 (20.2%) |
Q4 | 85,599 (19.3%) | 90,808 (19.5%) | 95,852 (19.6%) | 101,912 (19.8%) | 108,692 (20.0%) | 115,226 (20.2%) | 121,499 (20.3%) |
Q5 (highest) | 75,179 (16.9%) | 79,898 (17.1%) | 84,350 (17.3%) | 89,468 (17.4%) | 95,666 (17.6%) | 101,179 (17.7%) | 106,523 (17.8%) |
Missing | 1742 (0.4%) | 1824 (0.4%) | 1900 (0.4%) | 2034 (0.4%) | 2126 (0.4%) | 2253 (0.4%) | 2399 (0.4%) |
Rural | 65,408 (14.7%) | 68,458 (14.7%) | 71,660 (14.7%) | 75,092 (14.6%) | 79,026 (14.5%) | 82,247 (14.4%) | 85,540 (14.3%) |
ADG | |||||||
Mean ± SD | 7.90 ± 3.83 | 7.89 ± 3.83 | 7.90 ± 3.86 | 7.89 ± 3.88 | 7.84 ± 3.92 | 7.78 ± 3.95 | 7.81 ± 3.97 |
Median (IQR) | 8 (5–10) | 8 (5–10) | 8 (5–10) | 8 (5–10) | 7 (5–10) | 7 (5–10) | 7 (5–10) |
RUB* | |||||||
Mean ± SD | 3.65 ± 0.90 | 3.65 ± 0.90 | 3.65 ± 0.90 | 3.64 ± 0.90 | 3.64 ± 0.91 | 3.64 ± 0.91 | 3.65 ± 0.92 |
Median (IQR) | 3 (3–4) | 3 (3–4) | 3 (3–4) | 3 (3–4) | 3 (3–4) | 3 (3–4) | 3 (3–4) |
OMID (AMI) | 37,332 (8.4%) | 39,015 (8.4%) | 40,729 (8.3%) | 42,550 (8.3%) | 44,579 (8.2%) | 46,463 (8.1%) | 48,452 (8.1%) |
Enrollment status | |||||||
Enrolled | 374,436 (84.4%) | 399,380 (85.7%) | 424,893 (87.0%) | 451,284 (87.8%) | 482,316 (88.6%) | 510,631 (89.3%) | 538,094 (89.8%) |
Virtually enrolled | 69,172 (15.6%) | 66,712 (14.3%) | 63,294 (13.0%) | 62,453 (12.2%) | 61,908 (11.4%) | 61,169 (10.7%) | 61,028 (10.2%) |
CVD | 381,896 (86.1%) | 402,524 (86.4%) | 422,519 (86.5%) | 444,766 (86.6%) | 470,445 (86.4%) | 493,342 (86.3%) | 515,653 (86.1%) |
CHF | 70,343 (15.9%) | 72,678 (15.6%) | 75,397 (15.4%) | 78,039 (15.2%) | 81,389 (15.0%) | 84,822 (14.8%) | 87,876 (14.7%) |
OMID (AMI) | 37,332 (8.4%) | 39,015 (8.4%) | 40,729 (8.3%) | 42,550 (8.3%) | 44,579 (8.2%) | 46,463 (8.1%) | 48,452 (8.1%) |
HTN | 374,702 (84.5%) | 395,440 (84.8%) | 415,646 (85.1%) | 438,015 (85.3%) | 463,672 (85.2%) | 486,454 (85.1%) | 508,602 (84.9%) |
ODD: Ontario Diabetes Database; SD: standard deviation; IQR: interquartile range; ADG: adjusted diagnostic groups; RUB: resource utilization band; OMID: Ontario myocardial infarct dataset; AMI: acute myocardial infarct; CVD: cardiovascular disease; CHF: congestive heart failure; HTN: hypertension
* RUBs estimate healthcare resource use grouped by morbidity levels: 0 = non user to 5 = very high morbidity