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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