Table 4.
Multilevel logistic regression analysis of frequency of ICD coded visits
Model A | Model B | |
---|---|---|
Fixed effects | OR (95% CI) | |
Patient age group | ||
1 (-28) | - | REF |
2 (29-49) | - | 0.86 (0.84-0.89) |
3 (50-67) | - | 0.84 (0.82-0.87) |
4 (68-) | - | 0.75 (0.73-0.77) |
Patient sex | ||
Female | - | REF |
Male | - | 0.98 (0.96-1.00) |
Type of visit | ||
Planned | - | REF |
Not planned | - | 1.44 (1.41-1.47) |
Random effects | ||
HCC Variance (95% CI) | 0.76 (0.40-1.54) | 0.76 (0.41-1.50) |
MOR (95% CI) | 2.30 (1.82-3.26) | 2.29 (1.84-3.22) |
Physician Variance (95% CI) | 2.28 (2.05-2.55) | 2.25 (2.02-2.53) |
MOR(95% CI) | 4.22 (3.92-4.58) | 4.19 (3.88-4.56) |
HCC+Physician Variance | 3.04 | 3.01 |
MOR | 5.23 | 5.28 |
PCV | ||
HCC | - | 0.3% |
Physician | - | 1.3% |
HCC+Physician | - | 0.9% |
303170.55 | 301079.69 | |
DIC (MCMC) |
Outcome variable at the visit level, ICD coding (yes/no). Extracted from SPCD during 2002-2003 for the 24 Health Care Centres in Skaraborg Primary Care.
OR = odds ratio, CI = credible interval, MOR = median odds ratio, DIC = Deviance Information Criterion