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Table 3 Estimates from logistic models predicting surgical treatment for PHF patients

From: Geographic variation in the treatment of proximal humerus fracture: an update on surgery rates and treatment consensus

  Surgery
Male 0.83*** [0.79, 0.88]
Fully dual eligible 0.69*** [0.65, 0.74]
Asian 0.89 [0.70, 1.13]
Black 0.64*** [0.56, 0.74]
Hispanic 0.96 [0.79, 1.16]
Other 0.87 [0.72, 1.05]
Age 70–75 0.95 [0.89, 1.01]
Age 76–79 0.91** [0.85, 0.97]
Age 80–85 0.72*** [0.67, 0.76]
Age 86 plus 0.43*** [0.40, 0.46]
Previous year spending, quintile 2 1.05 [0.98, 1.11]
Previous year spending, quintile 3 1.02 [0.96, 1.09]
Previous year spending, quintile 4 1.12** [1.04, 1.20]
Previous year spending, quintile 5 0.96 [0.88, 1.05]
CCI score 1 0.95 [0.90, 1.01]
CCI score 2 0.89** [0.84, 0.96]
CCI score 3 0.93+ [0.87, 1.00]
CCI score 4 or more 0.84*** [0.78, 0.90]
FRI score 1 0.87*** [0.83, 0.92]
FRI score 2 0.83*** [0.78, 0.89]
FRI score 3 0.67*** [0.62, 0.72]
Osteoarthritis 1.06* [1.01, 1.11]
Rheumatoid arthritis 0.95 [0.88, 1.03]
Arthropathy 0.95 [0.88, 1.04]
Avascular necrosis 1.77** [1.18, 2.66]
Observations 77,053
  1. Exponentiated coefficients; 95% confidence intervals in brackets
  2. +p < .1, *p < .05, **p < .01, ***p < .001