Table 4:
Multivariable ordinal regression model for the effect of year of diagnosis on number of refills
Odds Ratio Estimatesa | ||||||
---|---|---|---|---|---|---|
1 vs 0 refillsb | >= 2 vs 0 refillsb | |||||
| ||||||
Characteristics | Estimate | 95% Wald Confidence Limits | Estimate | 95% Wald Confidence Limits | ||
Year of diagnosis | ||||||
2008 vs 2007 | 1.028 | 0.870 | 1.214 | 0.833 | 0.694 | 1.001 |
2009 vs 2007 | 1.025 | 0.866 | 1.213 | 0.923 | 0.771 | 1.105 |
2010 vs 2007 | 0.986 | 0.832 | 1.169 | 0.894 | 0.747 | 1.069 |
2011 vs 2007 | 0.983 | 0.828 | 1.167 | 0.953 | 0.798 | 1.139 |
2012 vs 2007 | 0.940 | 0.793 | 1.115 | 0.874 | 0.732 | 1.043 |
2013 vs 2007 | 0.910 | 0.763 | 1.085 | 0.911 | 0.760 | 1.091 |
2014 vs 2007 | 0.926 | 0.774 | 1.107 | 0.814 | 0.676 | 0.981 |
2015 vs 2007 | 0.962 | 0.802 | 1.154 | 0.843 | 0.699 | 1.017 |
2016 vs 2007 | 0.969 | 0.805 | 1.167 | 0.767 | 0.631 | 0.932 |
2017 vs 2007 | 0.886 | 0.734 | 1.068 | 0.667 | 0.549 | 0.810 |
Age at diagnosis | ||||||
< 10y vs >= 50y | 0.247 | 0.190 | 0.321 | 0.106 | 0.062 | 0.182 |
10 – 20y vs >= 50y | 0.656 | 0.561 | 0.768 | 0.238 | 0.184 | 0.307 |
20 – 50y vs >= 50y | 1.051 | 0.953 | 1.158 | 0.780 | 0.710 | 0.856 |
Gender | ||||||
Female vs Male | 0.714 | 0.660 | 0.773 | 0.790 | 0.727 | 0.858 |
Region | ||||||
Midwest vs South | 1.028 | 0.937 | 1.128 | 1.015 | 0.920 | 1.119 |
Northeast vs South | 0.881 | 0.753 | 1.031 | 0.863 | 0.733 | 1.017 |
West vs South | 1.113 | 1.001 | 1.237 | 1.187 | 1.065 | 1.323 |
Opioid use in the past 12 months | ||||||
Yes vs No | 1.661 | 1.527 | 1.806 | 6.090 | 5.519 | 6.719 |
Inpatient stay | ||||||
Yes vs No | 2.343 | 2.065 | 2.659 | 3.630 | 3.181 | 4.143 |
Burn severity | ||||||
More severe vs Less severe | 1.716 | 1.572 | 1.874 | 1.601 | 1.461 | 1.755 |
Elixhauser score | ||||||
1 vs 0 | 1.032 | 0.933 | 1.141 | 1.142 | 1.023 | 1.276 |
2 vs 0 | 1.117 | 0.977 | 1.278 | 1.451 | 1.276 | 1.65 |
>=3 vs 0 | 1.141 | 0.998 | 1.304 | 1.818 | 1.615 | 2.046 |
Arthritis (RA/OA) | ||||||
Yes vs No | 1.076 | 0.950 | 1.219 | 2.255 | 2.049 | 2.481 |
Cancer | ||||||
Yes vs No | 1.111 | 0.871 | 1.417 | 1.083 | 0.887 | 1.321 |
Alcohol Abuse | ||||||
Yes vs No | 1.170 | 0.936 | 1.464 | 0.792 | 0.646 | 0.972 |
Drug Abuse | ||||||
Yes vs No | 1.344 | 1.088 | 1.661 | 2.163 | 1.839 | 2.544 |
Depression | ||||||
Yes vs No | 1.125 | 1.011 | 1.253 | 1.466 | 1.333 | 1.612 |
Tobacco Use | ||||||
Yes vs No | 1.303 | 1.154 | 1.471 | 1.698 | 1.533 | 1.881 |
Adjusted for all variables
The ordinal regression model contrasts each response level against the reference level (refills = 0)